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Doctorate degrees are a plus.\n Minimal 5 years of relevant industry experience for candidates with a Master's Degree.  Minimal 2 years of relevant industry experience for candidates with a Doctorate degree.\n Minimal 2 years of working experience in a highly regulated environment, e.g., CLIA and/or FDA compliant settings.\n Minimal 2 years of management experience leading a Data Engineering team, a Data Production/Delivery team, or a Data Analytics team, with demonstrable evidence of leadership and team management skills.\n \n KNOWLEDGE, SKILLS, AND ABILITIES: \n \n Strong proficiency in SQL and Python programming languages. Proficiency in R is a plus.\n Proficiency in data analysis and statistical techniques.\n Proficiency in data visualization tools (e.g., Tableau, Power BI, AWS QuickSight).\n Strong SQL skills in developing robust and maintainable queries to extract and/or aggregate data from complex data sources.\n Attention to detail and a commitment to data accuracy.\n Proficiency in building data products, e.g., data aggregation, extraction, transformation, and QC. Past working experience in dbt is a plus.\n Excellent problem-solving and critical-thinking abilities.\n Working knowledge of genomics and bioinformatics workflows. Human genetics knowledge is a plus.\n Proficiency in Git workflow and version control systems like GitHub and/or GitLab.\n Working experience with healthcare data, electronic health records (EHR), and clinical terminology is a plus.\n Ability to work collaboratively in a cross-functional team environment.\n Good documentation practices and coding style.\n Strong verbal and written communication skills.\n Strong interpersonal skills.\n Strong integrity.\n \n Compensation \u0026 Total Rewards  \n This range reflects a good-faith estimate of the base pay we reasonably expect to offer at the time of  hire. Final compensation will vary based on experience, qualifications, and internal equity considerations. \n This position is also eligible for additional compensation and benefits through Natera’s robust Total Rewards program, including: \n \n \n Annual performance incentive bonus \n \n Long-term equity awar","salary_min":139900,"salary_max":174900,"location":"San Carlos, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["data-pipeline","healthcare","cloud","data-engineering","data-science"],"apply_url":"https://job-boards.greenhouse.io/natera/jobs/6150570004","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-21T20:13:10Z","expires_at":"2026-09-28T13:41:41.524032Z","created_at":"2026-08-25T18:29:44.00758Z","updated_at":"2026-08-29T13:41:41.67638Z","company_name":"Natera","company_slug":"natera","company_logo_url":"https://www.google.com/s2/favicons?domain=natera.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/d4653f80-c2d2-4f90-b750-70a300947a71"},{"id":"2def9ded-6b75-4209-9cee-cda6c10334c1","company_id":"861968d1-d9f8-4217-9873-ce4b24851abc","title":"Manager of Data Science Production Engineering, Data Engineering \u0026 Delivery","slug":"manager-of-data-science-production-engineering-data-engineering-delivery-a8bbb51b","description":"This is an exciting opportunity to lead a Data Engineering \u0026 Delivery (DED) team at Natera, a global leader in precision medicine and genomics testing.  As a Manager of the DED team inside our Data Science Production Engineering (DSPE) department, you will have the opportunity to work with Natera's diverse and ultra-large data sets (up to PB size), develop innovative solutions with the latest information and cloud technologies, and make real impact by providing timely, accurate, and robust data products and data delivery/automation systems to support Natera's Lab Operations and Genetic Counselor/Lab Director teams, and ultimately impact patients' medical outcomes.\n PRIMARY RESPONSIBILITIES:  \n Leadership \n \n Lead a Data Engineering \u0026 Delivery (DED) team, collectively develop and maintain the data infrastructure, data ingestion solutions, ETL pipelines, robust data products, and data delivery solutions, for both production support and DSPE internal applications.\n Manage the Data Engineering \u0026 Delivery (DED) team, to achieve the timely and efficient delivery of robust data products and systems that can meet DSPE business needs and project requirements.\n Measure, report, and maintain/improve operational effectiveness.\n Train and coach team members on new technologies, procedures, and guidelines/best practices.\n \n Technical \n \n Lead the Data Engineering \u0026 Delivery (DED) team, collectively develop and maintain the data infrastructure, data ingestion solutions, ETL pipelines, robust data products, and data delivery solutions, for both production support and DSPE internal applications\n Translate DSPE's business needs and project requirements into technical specifications and implementation plans.\n Working with DSPE leadership teams, create design documents that can be efficiently implemented and maintained, for data system architecture, data ETL pipeline, data delivery solution, and other data systems/tools/components.\n Contribute to key development, testing, deployment, validation, maintenance, and update activities on data products and data systems/tools/components, as well as data delivery tasks.\n \n Quality, Compliance, and Documentation \n \n Improve and enforce operating procedures for compliance, quality, and efficiency.\n Create training materials, and contribute to training activities, on DSPE Data Engineering \u0026 Delivery (DED) team owned data products and data systems.\n \n Cross-Functional \n \n Engage proactively and directly with internal and external stakeholders to align development roadmaps, resolve dependencies, and exchange performance metrics.\n Represent the Data Engineering \u0026 Delivery (DED) team in stakeholder meetings.\n \n QUALIFICATIONS: \n \n Masters degree in Statistics, Data Science, Bioinformatics, Computer Science, Mathematics, Management Science, Operational Research, or other related fields. Doctorate degrees are a plus.\n Minimal 5 years of relevant industry experience for candidates with a Master's Degree.  Minimal 2 years of relevant industry experience for candidates with a Doctorate degree.\n Minimal 2 years of working experience in a highly regulated environment, e.g., CLIA and/or FDA compliant settings.\n Minimal 2 years of management experience leading a Data Engineering team, a Data Production/Delivery team, or a Data Analytics team, with demonstrable evidence of leadership and team management skills.\n \n KNOWLEDGE, SKILLS, AND ABILITIES: \n \n Strong proficiency in SQL and Python programming languages. Proficiency in R is a plus.\n Proficiency in data analysis and statistical techniques.\n Proficiency in data visualization tools (e.g., Tableau, Power BI, AWS QuickSight).\n Strong SQL skills in developing robust and maintainable queries to extract and/or aggregate data from complex data sources.\n Attention to detail and a commitment to data accuracy.\n Proficiency in building data products, e.g., data aggregation, extraction, transformation, and QC. Past working experience in dbt is a plus.\n Excellent problem-solving and critical-thinking abilities.\n Working knowledge of genomics and bioinformatics workflows. Human genetics knowledge is a plus.\n Proficiency in Git workflow and version control systems like GitHub and/or GitLab.\n Working experience with healthcare data, electronic health records (EHR), and clinical terminology is a plus.\n Ability to work collaboratively in a cross-functional team environment.\n Good documentation practices and coding style.\n Strong verbal and written communication skills.\n Strong interpersonal skills.\n Strong integrity.\n The pay range is listed and actual compensation packages are based on a wide array of factors unique to each candidate, including but not limited to skill set, years \u0026 depth of experience, certifications and specific office location. This may differ in other locations due to cost of labor considerations.\n Remote USA\n $127,200 — $159,000 USD \n OUR OPPORTUNITY \n Natera™ is a global leader in cell-free DNA (cfDNA) testing, dedicated to oncology, w","salary_min":127200,"salary_max":159000,"location":"Remote (US)","workplace":"remote","remote_scope":"restricted","job_type":"full-time","experience_level":"senior","tags":["cloud","data-pipeline","healthcare","data-engineering","data-science"],"apply_url":"https://job-boards.greenhouse.io/natera/jobs/6137669004","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-21T20:13:08Z","expires_at":"2026-09-28T13:41:41.615711Z","created_at":"2026-08-25T18:29:44.00289Z","updated_at":"2026-08-29T13:41:41.769636Z","company_name":"Natera","company_slug":"natera","company_logo_url":"https://www.google.com/s2/favicons?domain=natera.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/2def9ded-6b75-4209-9cee-cda6c10334c1"},{"id":"507e873f-409b-4343-a25f-89bd5720c1df","company_id":"e8c9f3a5-9310-43f5-9341-321fe6d93a92","title":"Data Engineer, Security Analytics","slug":"data-engineer-security-analytics-7cc06759","description":"About us    \n Founded in 2017, Wayve is the leading developer of Embodied AI technology.  Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and safety of automated driving systems.\n Our vision is to create autonomy that propels the world forward.  Our intelligent, mapless, and hardware-agnostic AI products are designed for automakers, accelerating the transition from assisted to automated driving.  In our fast-paced environment big problems ignite us—we embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future.\n At Wayve, your contributions matter.  We value diversity, embrace new perspectives, and foster an inclusive work environment; we back each other to deliver impact.  \n Make Wayve the experience that defines your career!  \n About the role \n As our security program grows, we need a scalable way to measure control effectiveness, automate evidence collection, and provide continuous visibility into our security posture.\n As our Security Analyst, you’ll join the Security team and build the data and automation capabilities that underpin our security program. You’ll work across Security to design scalable data pipelines, data models, integrations, and automations that transform security data into insights that inform decision making. Your work will enable better operational decision making, reduce manual effort, and strengthen our ability to support customer, auditor, and regulatory commitments.\n You’ll help make security governance continuous. You’ll partner with Security Engineering, IT, and Engineering teams to automate evidence collection, measure control effectiveness, and establish the foundations for a data-driven security program.\n This is a rare opportunity to build Wayve’s security analytics capability from the ground up. You’ll define the architecture, data models, and automations that become the foundation for how we measure and improve security.\n We’d love to hear from you if you’re motivated by replacing manual processes with scalable engineering solutions and believe security data should be automated, continuously available, and actionable.\n Key responsibilities \n Build our security data platform \n \n Design, build, and maintain scalable data pipelines that collect, transform, and enrich security data from systems across our business.\n Integrate data from identity, cloud, engineering, and security platforms to create a unified view of Wayve’s security posture.\n Build robust data models that provide high fidelity datasets for security analytics, operational reporting, and measuring control effectiveness.\n Design analytics products and visualisations that provide meaningful insights into the health, maturity, and performance of the security program.\n Ensure data quality, lineage, reliability, observability, and maintainability across our security analytics platform.\n \n Drive automation and continuous assurance \n \n Build automated evidence collection capabilities that reduce manual effort across governance, customer assurance, and security operations.\n Develop analytics that support continuous control monitoring and demonstrate control effectiveness through measurable outcomes.\n Partner with stakeholders across Security to translate security controls into measurable, automated indicators where practical.\n Design and implement automation that replaces repetitive operational processes with scalable engineering solutions.\n \n Enable data-driven security decisions \n \n Partner with SMEs to develop meaningful KPIs and metrics that help Security understand performance, risk, trends, and operational health.\n Work with stakeholders across Security to understand analytical requirements and translate them into scalable technical solutions.\n Continuously improve how security data is collected, modeled, and consumed across the organization.\n \n About you \n Essential \n \n Experience designing and operating reliable data platforms or analytics engineering solutions in production environments.\n Experience building production-quality data pipelines and automation using Python, SQL, or similar technologies.\n Experience modeling data for analytical use cases.\n Strong understanding of modern data engineering practices, including data modeling, ETL/ELT, API integrations, data quality, and observability.\n Experience working in cloud-native environments and integrating data from cloud platforms and SaaS sources.\n Experience building integrations and automation using APIs rather than relying solely on out-of-the-box platform capabilities.\n Strong analytical and problem-solving skills, with the ability to translate complex technical data into actionable insights.\n Experience designing dashboards and metrics that support operationa","salary_min":186100,"salary_max":243300,"location":"Sunnyvale, CA","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["security","autonomous-vehicles","data-pipeline","generative-ai","data-engineering"],"apply_url":"https://wayve.firststage.co/jobs?gh_jid=8716080002","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-14T19:11:34Z","expires_at":"2026-09-28T13:44:25.592018Z","created_at":"2026-08-25T18:31:14.147627Z","updated_at":"2026-08-29T13:44:25.746041Z","company_name":"Wayve","company_slug":"wayve","company_logo_url":"https://www.google.com/s2/favicons?domain=wayve.ai\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/507e873f-409b-4343-a25f-89bd5720c1df"},{"id":"49088067-efaf-4ee0-9ab5-5605c0348e75","company_id":"01b03876-5b01-47ab-82b9-696293e861b9","title":"Senior AI Data Engineer","slug":"senior-ai-data-engineer-aba056bd","description":"Who we are \n Samsara (NYSE: IOT) is the pioneer of the Connected Operations™ Cloud, which is a platform that enables organizations that depend on physical operations to harness Internet of Things (IoT) data to develop actionable insights and improve their operations. At Samsara, we are helping improve the safety, efficiency and sustainability of the physical operations that power our global economy. Representing more than 40% of global GDP, these industries are the infrastructure of our planet, including agriculture, construction, field services, transportation, and manufacturing — and we are excited to help digitally transform their operations at scale. \n Working at Samsara means you’ll help define the future of physical operations and be on a team that’s shaping an exciting array of product solutions, including Video-Based Safety, Vehicle Telematics, Apps and Driver Workflows, and Equipment Monitoring. As part of a recently public company, you’ll have the autonomy and support to make an impact as we build for the long term. \n About the role \n Marketing Data and Analytics (MDA) is an integral team within Marketing. Our mission is to strengthen revenue performance by providing marketing and sales teams with the insights, tools, infrastructure, and consultation to make data-driven decisions. This role sits on MDA's Engineering team, working alongside our BI and Data Science teams. We are a scrappy, fast-moving team that takes ambiguous business problems and turns them into data products, AI agents, and automation, all while architecting and maintaining the data infrastructure that powers Samsara's marketing. This role is for someone who thinks on their feet, moves fast, and is comfortable owning problems end to end. \n This role is open to candidates residing in Canada \n You should apply if: \n \n You want to impact the industries that run our world: Your efforts will result in real-world impact, helping to keep the lights on, get food into grocery stores, reduce emissions, and most importantly, ensure workers return home safely. \n You are the architect of your own career: If you put in the work, this role won't be your last at Samsara. We set up our employees for success and have built a culture that encourages rapid career development, countless opportunities to experiment and master your craft in a hyper growth environment. \n You're energized by our opportunity: The vision we have to digitize large sectors of the global economy requires your full focus and best efforts to bring forth creative, ambitious ideas for our customers. \n You want to be with the best: At Samsara, we win together, celebrate together and support each other. You will be surrounded by a high-calibre team that will encourage you to do your best. \n \n In this role, you will: \n \n Design, build, and operate production AI systems, including agent orchestration, tool and API integrations, retrieval pipelines, and the evaluation harnesses that keep them reliable and trustworthy. \n Architect and maintain marketing databases, datasets, pipelines, and Samsara's Customer Data Platform (CDP) to enable advanced segmentation, targeting, automation, and analytics. \n Partner with the BI team to expand conversational analytics across the marketing organization. \n Identify and automate manual workflows with AI, taking ideas from concept to prototype to a credible path to production, and delivering efficiency gains across marketing and go-to-market teams. \n Stand up new data pipelines end to end, often for a tool that was onboarded yesterday: discovering the schema, working with partners inside Samsara and at the vendor, getting the data processed, and integrating it into our downstream systems. \n Own the reliability and data quality of what you build. \n Autonomously partner with technical and non-technical stakeholders (Marketing, Sales, R\u0026D, and more) to translate ambiguous business questions into technical requirements and scalable solutions, without dedicated PM support. \n Ship high-quality Python and SQL, increasingly by directing agentic coding tools, while holding a high bar for reviewing and verifying AI-generated work before it reaches production. \n Mentor engineers, conduct code reviews, and help define best practices for the team. \n \n Minimum requirements for the role: \n \n 5+ years of working experience in a data engineering or AI engineering role, including meaningful hands-on data engineering experience. \n Expert Python and SQL knowledge with strong hands-on data modeling experience. \n You have built and shipped systems that use LLMs or agents in production as part of your job. \n Agentic coding tools (e.g., Claude Code, Cursor) are part of your regular workflow. You actively seek out new ways to use AI to accelerate your work, and you verify and take ownership of AI-generated output. \n Deep experience with data warehouse architectures, ETL/ELT, and the modern data stack (e.g., Databricks, DBT, Snowflake, BigQuery, or similar). \n Demon","salary_min":119000,"salary_max":154000,"location":"Remote (Canada)","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["agents","fine-tuning","data-pipeline","llm","data-engineering"],"apply_url":"https://www.samsara.com/company/careers/roles/8126100?gh_jid=8126100","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-12T17:44:31Z","expires_at":"2026-09-28T13:34:46.278286Z","created_at":"2026-08-25T18:27:15.532053Z","updated_at":"2026-08-29T13:34:46.474307Z","company_name":"Samsara","company_slug":"samsara","company_logo_url":"https://www.google.com/s2/favicons?domain=www.samsara.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/49088067-efaf-4ee0-9ab5-5605c0348e75"},{"id":"b86b2589-50e1-4254-84f1-668ec6befb95","company_id":"01b03876-5b01-47ab-82b9-696293e861b9","title":"Senior AI Data Engineer","slug":"senior-ai-data-engineer-37785a0b","description":"Who we are \n Samsara (NYSE: IOT) is the pioneer of the Connected Operations™ Cloud, which is a platform that enables organizations that depend on physical operations to harness Internet of Things (IoT) data to develop actionable insights and improve their operations. At Samsara, we are helping improve the safety, efficiency and sustainability of the physical operations that power our global economy. Representing more than 40% of global GDP, these industries are the infrastructure of our planet, including agriculture, construction, field services, transportation, and manufacturing — and we are excited to help digitally transform their operations at scale. \n Working at Samsara means you’ll help define the future of physical operations and be on a team that’s shaping an exciting array of product solutions, including Video-Based Safety, Vehicle Telematics, Apps and Driver Workflows, and Equipment Monitoring. As part of a recently public company, you’ll have the autonomy and support to make an impact as we build for the long term. \n About the role \n Marketing Data and Analytics (MDA) is an integral team within Marketing. Our mission is to strengthen revenue performance by providing marketing and sales teams with the insights, tools, infrastructure, and consultation to make data-driven decisions. This role sits on MDA's Engineering team, working alongside our BI and Data Science teams. We are a scrappy, fast-moving team that takes ambiguous business problems and turns them into data products, AI agents, and automation, all while architecting and maintaining the data infrastructure that powers Samsara's marketing. This role is for someone who thinks on their feet, moves fast, and is comfortable owning problems end to end. \n This role is open to candidates residing in the US except the San Francisco Bay Metro Area, NYC Metro Area, and Washington, D.C. Metro Area. \n You should apply if: \n \n You want to impact the industries that run our world: Your efforts will result in real-world impact, helping to keep the lights on, get food into grocery stores, reduce emissions, and most importantly, ensure workers return home safely. \n You are the architect of your own career: If you put in the work, this role won't be your last at Samsara. We set up our employees for success and have built a culture that encourages rapid career development, countless opportunities to experiment and master your craft in a hyper growth environment. \n You're energized by our opportunity: The vision we have to digitize large sectors of the global economy requires your full focus and best efforts to bring forth creative, ambitious ideas for our customers. \n You want to be with the best: At Samsara, we win together, celebrate together and support each other. You will be surrounded by a high-calibre team that will encourage you to do your best. \n \n In this role, you will: \n \n Design, build, and operate production AI systems, including agent orchestration, tool and API integrations, retrieval pipelines, and the evaluation harnesses that keep them reliable and trustworthy. \n Architect and maintain marketing databases, datasets, pipelines, and Samsara's Customer Data Platform (CDP) to enable advanced segmentation, targeting, automation, and analytics. \n Partner with the BI team to expand conversational analytics across the marketing organization. \n Identify and automate manual workflows with AI, taking ideas from concept to prototype to a credible path to production, and delivering efficiency gains across marketing and go-to-market teams. \n Stand up new data pipelines end to end, often for a tool that was onboarded yesterday: discovering the schema, working with partners inside Samsara and at the vendor, getting the data processed, and integrating it into our downstream systems. \n Own the reliability and data quality of what you build. \n Autonomously partner with technical and non-technical stakeholders (Marketing, Sales, R\u0026D, and more) to translate ambiguous business questions into technical requirements and scalable solutions, without dedicated PM support. \n Ship high-quality Python and SQL, increasingly by directing agentic coding tools, while holding a high bar for reviewing and verifying AI-generated work before it reaches production. \n Mentor engineers, conduct code reviews, and help define best practices for the team. \n \n Minimum requirements for the role: \n \n 5+ years of working experience in a data engineering or AI engineering role, including meaningful hands-on data engineering experience. \n Expert Python and SQL knowledge with strong hands-on data modeling experience. \n You have built and shipped systems that use LLMs or agents in production as part of your job. \n Agentic coding tools (e.g., Claude Code, Cursor) are part of your regular workflow. You actively seek out new ways to use AI to accelerate your work, and you verify and take ownership of AI-generated output. \n Deep experience with data warehouse architectures, ETL/ELT, a","salary_min":118107,"salary_max":178650,"location":"Remote (US)","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["fine-tuning","agents","llm","data-pipeline","data-engineering"],"apply_url":"https://www.samsara.com/company/careers/roles/8091855?gh_jid=8091855","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-12T17:42:39Z","expires_at":"2026-09-28T13:34:46.179702Z","created_at":"2026-08-25T18:27:15.528069Z","updated_at":"2026-08-29T13:34:46.33444Z","company_name":"Samsara","company_slug":"samsara","company_logo_url":"https://www.google.com/s2/favicons?domain=www.samsara.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/b86b2589-50e1-4254-84f1-668ec6befb95"},{"id":"ea21c070-6402-4604-8a11-b603165cac3a","company_id":"bce4421e-5b23-4e76-b067-fc8a82064141","title":"Data Engineer (SE / Sr SE)","slug":"data-engineer-se-sr-se-ee21f58c","description":"PlusAI is a Physical AI company pioneering AI-based virtual driver software for factory-built autonomous trucks. Headquartered in Silicon Valley with operations in the United States and Europe, Plus was named by Fast Company as one of the World’s Most Innovative Companies. Partners including TRATON GROUP’s Scania, MAN, and International brands, Hyundai Motor Company, Iveco Group, Bosch, and DSV are working with Plus to accelerate the deployment of next-generation autonomous trucks. If you’re ready to make a huge impact and drive the future of autonomy, Plus is looking for talented individuals to join its fast-growing teams.\n\n\nKnowing how well our virtual driver drives — and why it fell short — is what lets us ship with confidence. In this role, you will own that loop end to end: the metrics that quantify driving performance, the pipelines that compute them at fleet scale, the analysis that turns them into judgments about autonomy behavior — including where on the map that behavior changes — the data and tooling that gate software releases, and the agentic workflows that take a detected issue from triage to a proposed fix. You will work primarily in Python across large-scale data processing, geospatial analytics, evaluation frameworks, and LLM-powered automation. We welcome engineers from data engineering, analytics, geospatial, evaluation, or robotics backgrounds; prior autonomous-vehicle experience is helpful but not required.\nWe are open to candidates at either the Engineer or Software Engineer level. Level will be determined by experience, technical depth, scope of ownership, and demonstrated impact. You do not need experience with every technology in our stack; we value strong fundamentals, ownership, and the ability to learn.\nResponsibilities:\nDefine and compute driving performance metrics — covering safety, comfort, progress, interventions, and compliance — and build the scalable pipelines that evaluate them consistently across fleet and simulation data\nAnalyze road-test and simulation data in depth to identify trends, regressions, and anomalies in autonomy behavior, and turn them into clear findings that engineering teams act on\nBuild geospatial analytics over fleet driving data: map-matched metrics, route and corridor performance, location-based clustering of events and issues, and geographic coverage analysis that shows where the virtual driver performs well and where it struggles\nBuild the data foundations and tooling for release management, including release-over-release comparisons, readiness and gating criteria, and traceable evidence supporting release decisions\nBuild AI agentic workflows that triage detected issues at scale — clustering and deduplicating failures, attributing root cause, routing to the right owners, and proposing fixes with supporting evidence for engineering review\nEnsure that your work is performed in accordance with the company's Quality Management System (QMS) requirements and contribute to continuous improvement efforts\n","salary_min":130000,"salary_max":200000,"location":"San Jose, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["robotics","agents","llm","infrastructure","data-engineering"],"apply_url":"https://jobs.lever.co/plus-2/cd1e5dca-104e-4429-af74-ee6da17596cb/apply","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-10T19:55:36.074Z","expires_at":"2026-09-28T13:47:46.69065Z","created_at":"2026-08-25T18:32:31.372506Z","updated_at":"2026-08-29T13:47:46.842768Z","company_name":"Plus","company_slug":"plus","company_logo_url":"https://www.google.com/s2/favicons?domain=plus.ai\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/ea21c070-6402-4604-8a11-b603165cac3a"},{"id":"75c90036-e512-4e00-b659-12624f47be5e","company_id":"f0134765-5cdf-4b32-b956-b7a147d9d415","title":"Senior Manager, Data Engineering","slug":"senior-manager-data-engineering-bb72e009","description":"Role Description\n \n \n We are seeking a Senior Manager, Data Engineering to lead the team responsible for Dropbox’s underlying data foundations that power our business as a whole. This is a hands-on engineering leader who owns the pipelines and data products that Product, GTM, Finance, and the CTO organization depend on to make decisions. \n  \n In this role, you will lead and grow a team of data engineers building and operating our ingestion, transformation, orchestration, and serving layers, as well as the self-serve analytics substrate that lets partner teams answer their own questions without bespoke engineering work. \n  \n The ideal candidate is a deeply technical, product-minded engineering leader who can hold a high bar on system reliability and data quality while partnering closely with Data Science, Business Intelligence Engineering, Analytics, and Product to turn fragmented, ticket-driven data work into durable, reusable data products. \n  \n Our Engineering Career Framework is viewable by anyone outside the company and describes what’s expected for our engineers at each of our career levels. Check out our blog post on this topic and more here . \n Responsibilities\n \n \n Data Quality \u0026 Observability: Establish and enforce a rigorous data quality culture: lineage, freshness monitoring, anomaly detection, and outcome-oriented, gaming-resistant quality metrics. \n \n Self-Serve Platform: Lead the engineering of the self-serve analytics substrate, reducing bespoke request volume and increasing partner-team autonomy. \n \n Cost \u0026 Efficiency: Own the unit economics of the data platform — compute and storage efficiency — and drive measurable improvements without sacrificing reliability. \n \n Cross-Functional Partnership: Partner deeply with Data Science, BIE, Analytics, Product, Data Platform, and the CTO org to define the semantic layer, modeling standards, and data contracts that make downstream work trustworthy and fast. \n \n Engineering Culture: Establish rigorous engineering practices — code review, testing, CI/CD for data, incident response, and postmortems — and champion the effective, measured use of AI coding tools to improve engineering productivity. \n \n Team Leadership: Lead, mentor, and grow a high-talent-density team of data engineers, fostering a culture of ownership, technical excellence, psychological safety, and continuous learning. \n \n Requirements\n \n \n 8+ years of data engineering or backend/data infrastructure experience with increasing scope, ideally in high-scale environments. \n \n 3+ years of experience directly managing and growing engineering teams, including hiring, coaching, performance management, and team design. \n \n Deep Technical Expertise: Proven track record building and operating large-scale batch and streaming pipelines (e.g., Spark, dbt, Airflow/orchestration) on a modern lakehouse or warehouse stack (e.g., Databricks, Snowflake, BigQuery). \n \n Reliability \u0026 Quality: Demonstrated ownership of data SLAs, observability, lineage, and incident response for business-critical pipelines. \n \n Systems \u0026 Modeling: Strong data modeling fundamentals and the ability to design a semantic layer and data contracts that serve many downstream consumers. \n \n Stakeholder Management: Excellent communication and the ability to align engineering, data science, analytics, and business partners around shared reliability and quality goals. \n \n Preferred Qualifications\n \n \n Platform / Self-Serve Experience: Track record building self-serve data or analytics platforms that reduced bespoke request volume and increased partner autonomy. \n \n AI-Forward Engineering: Experience integrating AI coding tools and LLM-based tooling into the engineering workflow, with a measured approach to impact and guardrails. \n \n Cost Discipline: Demonstrated success improving compute/storage unit economics without regressing reliability. \n \n Familiarity with modern data governance, privacy, and access-control practices. \n \n Experience operating in a pod or embedded model serving multiple business partners. \n \n \n Durable Skills \n AI fluency means using these tools to amplify human judgment, not replace it. We believe people with these skills will thrive as work and technology continue to evolve: \n \n Awareness: U nderstand yourself and others . \n Judgment: E valuat e information and mak e decisions in complex situations . \n Adaptability: L earn, adjust, and stay effective through change . \n Connection: C ommunicat e , collaborat e , and build trust . \n \n To learn more about why these skills matter and what the data shows about thriving through change, read this blog post from our Chief People Officer, Melanie Rosenwasser. \n Compensation \n Canada Pay Range\n $209,100 — $282,900 CAD","salary_min":209100,"salary_max":282900,"location":"Remote (Canada)","workplace":"remote","remote_scope":"restricted","job_type":"full-time","experience_level":"senior","tags":["llm","mlops","data-engineering","data-science"],"apply_url":"https://jobs.dropbox.com/listing/8090065?gh_jid=8090065","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-04T17:49:51Z","expires_at":"2026-09-28T13:39:59.36079Z","created_at":"2026-08-25T18:29:02.708611Z","updated_at":"2026-08-29T13:39:59.511822Z","company_name":"Dropbox","company_slug":"dropbox","company_logo_url":"https://www.google.com/s2/favicons?domain=www.dropbox.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/75c90036-e512-4e00-b659-12624f47be5e"},{"id":"abba779f-44e8-4ffd-8b33-f3c5486ad2bb","company_id":"f8de0913-0ef7-4e72-a9cf-81f8513ec624","title":"Software Engineer, Data Engineering","slug":"software-engineer-data-engineering-56e2f4f4","description":"FieldAI’s Irvine team is where embodied AI meets real robots, real sensors, and real field deployments. Based in the heart of Southern California’s robotics ecosystem, we build risk-aware, reliable, field-ready AI systems that solve the hardest problems in robotics and unlock the full potential of embodied intelligence. If you want your work to ship, get tested on hardware, and improve through real deployments, Irvine is the place. We go beyond typical data-driven approaches or pure transformer-only architectures, combining rigorous engineering with learning systems proven in globally deployed solutions that deliver results today and get better every time our robots run in the field.\n","salary_min":115000,"salary_max":170000,"location":"Irvine, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"mid","tags":["robotics","infrastructure","data-engineering","platform"],"apply_url":"https://jobs.lever.co/field-ai/e3b7bac7-5410-44bb-964c-02815fbd0c97/apply","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-01T01:03:02.312Z","expires_at":"2026-09-28T13:47:40.022459Z","created_at":"2026-08-25T18:32:29.469657Z","updated_at":"2026-08-29T13:47:40.179056Z","company_name":"Field AI","company_slug":"field-ai","company_logo_url":"https://www.google.com/s2/favicons?domain=field.ai\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/abba779f-44e8-4ffd-8b33-f3c5486ad2bb"},{"id":"52277b68-b383-40c7-8131-7a3ae5014e26","company_id":"f0134765-5cdf-4b32-b956-b7a147d9d415","title":"Senior Manager, Data Engineering","slug":"senior-manager-data-engineering-c76ddd18","description":"Role Description\n \n \n We are seeking a Senior Manager, Data Engineering to lead the team responsible for Dropbox’s underlying data foundations that power our business as a whole. This is a hands-on engineering leader who owns the pipelines and data products that Product, GTM, Finance, and the CTO organization depend on to make decisions. \n  \n In this role, you will lead and grow a team of data engineers building and operating our ingestion, transformation, orchestration, and serving layers, as well as the self-serve analytics substrate that lets partner teams answer their own questions without bespoke engineering work. \n  \n The ideal candidate is a deeply technical, product-minded engineering leader who can hold a high bar on system reliability and data quality while partnering closely with Data Science, Business Intelligence Engineering, Analytics, and Product to turn fragmented, ticket-driven data work into durable, reusable data products. \n Responsibilities\n \n \n Data Quality \u0026 Observability: Establish and enforce a rigorous data quality culture: lineage, freshness monitoring, anomaly detection, and outcome-oriented, gaming-resistant quality metrics. \n \n Self-Serve Platform: Lead the engineering of the self-serve analytics substrate, reducing bespoke request volume and increasing partner-team autonomy. \n \n Cost \u0026 Efficiency: Own the unit economics of the data platform — compute and storage efficiency — and drive measurable improvements without sacrificing reliability. \n \n Cross-Functional Partnership: Partner deeply with Data Science, BIE, Analytics, Product, Data Platform, and the CTO org to define the semantic layer, modeling standards, and data contracts that make downstream work trustworthy and fast. \n \n Engineering Culture: Establish rigorous engineering practices — code review, testing, CI/CD for data, incident response, and postmortems — and champion the effective, measured use of AI coding tools to improve engineering productivity. \n \n Team Leadership: Lead, mentor, and grow a high-talent-density team of data engineers, fostering a culture of ownership, technical excellence, psychological safety, and continuous learning. \n \n Requirements\n \n \n 8+ years of data engineering or backend/data infrastructure experience with increasing scope, ideally in high-scale environments. \n \n 3+ years of experience directly managing and growing engineering teams, including hiring, coaching, performance management, and team design. \n \n Deep Technical Expertise: Proven track record building and operating large-scale batch and streaming pipelines (e.g., Spark, dbt, Airflow/orchestration) on a modern lakehouse or warehouse stack (e.g., Databricks, Snowflake, BigQuery). \n \n Reliability \u0026 Quality: Demonstrated ownership of data SLAs, observability, lineage, and incident response for business-critical pipelines. \n \n Systems \u0026 Modeling: Strong data modeling fundamentals and the ability to design a semantic layer and data contracts that serve many downstream consumers. \n \n Stakeholder Management: Excellent communication and the ability to align engineering, data science, analytics, and business partners around shared reliability and quality goals. \n \n Preferred Qualifications\n \n \n Platform / Self-Serve Experience: Track record building self-serve data or analytics platforms that reduced bespoke request volume and increased partner autonomy. \n \n AI-Forward Engineering: Experience integrating AI coding tools and LLM-based tooling into the engineering workflow, with a measured approach to impact and guardrails. \n \n Cost Discipline: Demonstrated success improving compute/storage unit economics without regressing reliability. \n \n Familiarity with modern data governance, privacy, and access-control practices. \n \n Experience operating in a pod or embedded model serving multiple business partners. \n \n \n Durable Skills \n AI fluency means using these tools to amplify human judgment, not replace it. We believe people with these skills will thrive as work and technology continue to evolve: \n \n Awareness: U nderstand yourself and others . \n Judgment: E valuat e information and mak e decisions in complex situations . \n Adaptability: L earn, adjust, and stay effective through change . \n Connection: C ommunicat e , collaborat e , and build trust . \n \n To learn more about why these skills matter and what the data shows about thriving through change, read this blog post from our Chief People Officer, Melanie Rosenwasser. \n Compensation \n US Zone 1 \n This role is not available in Zone 1 \n US Zone 2\n $202,700 — $274,300 USD \n US Zone 3\n $180,200 — $243,800 USD","salary_min":180200,"salary_max":243800,"location":"Remote (US)","workplace":"remote","remote_scope":"restricted","job_type":"full-time","experience_level":"senior","tags":["llm","mlops","data-engineering","data-science"],"apply_url":"https://jobs.dropbox.com/listing/8090062?gh_jid=8090062","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-07-29T21:04:04Z","expires_at":"2026-09-28T13:39:59.263714Z","created_at":"2026-07-30T14:09:22.265716Z","updated_at":"2026-08-29T13:39:59.419535Z","company_name":"Dropbox","company_slug":"dropbox","company_logo_url":"https://www.google.com/s2/favicons?domain=www.dropbox.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/52277b68-b383-40c7-8131-7a3ae5014e26"},{"id":"52115382-539d-4a35-9403-4fc46b859257","company_id":"714f360f-a244-487d-b3f0-0c43518a9e66","title":"Data Scientist II, ML Infrastructure","slug":"data-scientist-ii-ml-infrastructure-626c42c5","description":"About Pinterest: \n Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.\n Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the  flexibility to do your best work. Creating a career you love? It’s Possible.\n At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI.\n Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here .\n This role focuses on advancing the science and systems behind ML measurement, feature understanding, and causal inference at scale. The work spans areas such as production feature importance platforms, observational causal estimation in Pytorch, large-scale proxy metric development, and data-driven approaches to ML infrastructure efficiency. We're looking for an enthusiastic individual contributor to perform high-impact technical work across this space. This person will drive foundational innovations, own the end-to-end design of production ML systems, establish rigorous methodological standards, and partner cross-functionally to turn successful research into durable platform capabilities that raise the ceiling for the entire ML organization.\n  \n What you’ll do: \n We are looking for an experienced and highly capable Data \u0026 Applied Scientist to help us drive step function improvements in our ML capabilities at Pinterest. \n In this role, you will:\n \n Translate research-grade DS workflows (e.g., proxy metrics, staleness models) into production ML pipelines using Airflow, WandB \u0026 Ray while establishing reusable patterns for other teams.\n Apply and productionize causal inference methods using the production ML stack (propensity scoring, IPW, TMLE) to address high-stakes measurement questions beyond experimental capabilities. Build self-serve tooling to empower non-experts to derive rigorous causal insights at scale.\n Partner with ML engineers and product teams to identify opportunities for improved tooling, metrics, and measurement methods, unlocking step-change improvements in model quality and business outcomes.\n Leverage Pinterest's rich metadata and engagement signals to build data-driven frameworks, from feature importance to content deindexing, that improve platform efficiency and speed.\n Design and build centralized ML platform tooling to improve feature and model creation, evaluation, and trust, including production systems that operate daily at scale across all models.\n \n  \n What we’re looking for: \n \n 2+ years of hands-on experience as an applied scientist, ML engineer, research scientist or software engineer, with significant ML production experience.\n Strong Python skills; experience with PyTorch or equivalent deep learning frameworks; familiarity with distributed compute (Spark, Ray). Ray specifically is a strong plus.\n Enthusiasm for building tools and platforms that multiply the impact of an entire ML organization; not just solving one-off problems.\n Deep ML theory knowledge with extremely strong fundamentals that can help us reason about ML models from first principles.\n Proficiency in software development best practices including version control, code review, and reproducible ML pipelines.\n Experience with workflow management tools (Airflow, Prefect, Jenkins, or similar) for reliable ML pipeline orchestration.\n Bachelor’s/Master’s degree in a relevant field such as Computer Science, or equivalent experience.\n \n  \n Relocation Statement: \n \n This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.\n \n  \n In-Office Requirement Statement: \n \n We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.\n This role will need to be in the office for in-person collaboration 3-5 times/quarter and therefore can be situated anywhere in the country.\n \n  \n #LI-NM4\n #LI-REMOTE\n At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including lo","salary_min":114297,"salary_max":235319,"location":"Palo Alto, CA","workplace":"remote","remote_scope":"unknown","job_type":"full-time","experience_level":"junior","tags":["pytorch","deep-learning","infrastructure","data-engineering","machine-learning","data-science"],"apply_url":"https://www.pinterestcareers.com/jobs/?gh_jid=8071670","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-07-23T17:52:41Z","expires_at":"2026-09-28T13:39:28.246407Z","created_at":"2026-07-24T14:08:28.697597Z","updated_at":"2026-08-29T13:39:28.396082Z","company_name":"Pinterest","company_slug":"pinterest","company_logo_url":"https://www.google.com/s2/favicons?domain=www.pinterest.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/52115382-539d-4a35-9403-4fc46b859257"},{"id":"536847ab-380b-4023-a67d-e6f42968d89e","company_id":"ccb23d77-c69e-462b-a941-02ce99527e78","title":"Senior Software Engineer (Data Engineering and Infrastructure)","slug":"senior-software-engineer-data-engineering-and-infrastructure-fbb63209","description":"Who we are \n Aurora’s mission is to deliver the benefits of self-driving technology safely, quickly, and broadly.\n The Aurora Driver  will create a new era in mobility and logistics, one that will bring a safer, more efficient, and more accessible future to everyone.\n  \n At Aurora, you will tackle massively complex problems alongside other passionate, intelligent individuals, growing as an expert while expanding your knowledge. For the latest news from Aurora, visit  aurora.tech  or follow us on  LinkedIn .\n  \n What we are looking for \n Aurora hires talented people with diverse backgrounds who are ready to help build a transportation ecosystem that will make our roads safer, get crucial goods where they need to go, and make mobility more efficient and accessible for all. We are seeking a talented and experienced Software Engineer to join our data engineering and infrastructure team. In this role, you will be a key contributor to the design, development, and maintenance of our data platform, building the scalable and reliable systems that enable our organization to leverage data for insights and product innovation. You will work on the core data lake and data warehouse ecosystem infrastructure, data pipelines, and tools that process data at massive scale, ensuring it is accessible, high-quality, and secure.\n In this role, you will \n \n Design, build, and maintain robust and scalable data pipelines and ETL/ELT processes to ingest, transform, and load data from various sources into our data warehouse.\n Develop and manage data infrastructure components using AWS cloud services and infrastructure-as-code tools like Terraform.\n Collaborate with data scientists, analysts, autonomy engineering teams and product teams to understand their data needs and build solutions that meet their requirements.\n Optimize data processing systems for performance, reliability, and cost-efficiency.\n Implement monitoring, alerting, and logging for data pipelines and infrastructure to ensure operational stability.\n Champion best practices in data governance, data quality, and security.\n Work closely with other senior team members and management to improve the data ecosystem toolings, refine user experience, and continuously polish team roadmap.\n \n Required Qualifications \n \n Master’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.\n 5+ years of professional experience in software engineering, with a focus on data-related projects.\n Proficiency in at least one programming language commonly used for data engineering (e.g., Python, Go or C++).\n Solid experience with big data processing frameworks like Presto/Trino, EMR, Apache Spark, Flink, Kinesis Data Stream, or similar technologies.\n Hands-on experience with cloud platforms (AWS, GCP, or Azure) and their data services (e.g., S3, Redshift, BigQuery, Glue).\n Strong knowledge of SQL and experience working with relational and NoSQL databases.\n Intermediate knowledge of data analytics infrastructure, including data transformation tools such as DBT and visualization frameworks and tools\n Experience with building and managing data pipelines using an orchestrator like Apache Airflow.\n Able to systematically approach open-ended questions to identify pragmatic data solutions that scale\n Able to work effectively in a highly cross-functional, fast-moving and high-stakes environment\n Proven ability to communicate technical, data-driven solutions to both technical and non-technical audiences across stakeholders\n \n Desirable Qualifications  \n \n Experience with AI toolings, LLM and agentic frameworks\n Experience with data warehousing solutions like Snowflake or data lake architectures.\n Familiarity with modern data stack tools and practices.\n A passion for building elegant, scalable, and maintainable systems.\n Experience using Amazon Web Services (AWS) tools\n \n The base salary range for this position is $146K-$234K per year.  Aurora’s pay ranges are determined by role, level, and location. Within the range, the successful candidate’s starting base pay will be determined based on factors including job-related skills, experience, qualifications, relevant education or training, and market conditions. These ranges may be modified in the future. The successful candidate will also be eligible for an annual bonus, equity compensation, and benefits. \n  #LI-SP1 \n Working at Aurora At Aurora, we bring together extraordinarily talented and experienced people united by the strength of our values. We operate with integrity, set outrageous goals, and build a culture where we win together — all without any jerks.\n We believe in-person work increases collaboration, empathy and our ability to lead effectively. As a result, we operate in a hybrid work environment where Aurorans are in office at least 3 days per week.\n Our Careers page provides insight into what it is like to work at Aurora, and you can find all the latest updates in our Newsroom .\n Our c","salary_min":146000,"salary_max":234000,"location":"Pittsburgh, PA","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["data-pipeline","agents","cloud","autonomous-vehicles","llm","data-science","infrastructure","data-engineering"],"apply_url":"https://aurora.tech/jobs/8628064002?gh_jid=8628064002","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-07-13T13:23:27Z","expires_at":"2026-08-30T14:05:18.124737Z","created_at":"2026-07-15T14:06:40.677939Z","updated_at":"2026-07-31T14:05:18.279937Z","company_name":"Aurora Innovation","company_slug":"aurora-innovation","company_logo_url":"https://www.google.com/s2/favicons?domain=aurora.tech\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/536847ab-380b-4023-a67d-e6f42968d89e"},{"id":"9d404039-fcb8-449d-a86d-505b2458db6e","company_id":"92df3417-f362-4f1a-9406-e34d8013b283","title":"Senior Data Engineer, Risk","slug":"senior-data-engineer-risk-8b142407","description":"It all started with an idea at Block in 2013. Initially built to take the pain out of peer-to-peer payments, Cash App has gone from a simple product with a single purpose to a dynamic ecosystem, developing unique financial products, including Afterpay/Clearpay, to provide a better way to send, spend, invest, borrow and save to our 50+ million monthly active customers. We want to redefine the world’s relationship with money to make it more relatable, instantly available, and universally accessible. Today, Cash App has thousands of employees working globally across office and remote locations, with a culture geared toward innovation, collaboration and impact. We’ve been a distributed team since day one, and many of our roles can be done remotely from the countries where Cash App operates. No matter the location, we tailor our experience to ensure our employees are creative, productive, and happy.\n The Role \n As a Data Engineer you will handle everything from data architecture and modeling to data pipeline tooling and dashboarding. You will enable other compliance and risk teams to make impactful business decisions by laying the foundation of our large and unique datasets that span across multiple products. This role will support compliance or risk product data engineering teams.\n The Compliance Data Engineering team at Block supports the detection  and reporting of suspicious financial crimes activity across Cash App, Square, and Afterpay. We work globally with partners in business, engineering, counsel, and product to provide a safe user experience for our customers while minimizing and potentially eliminating bad activity on our platform.\n The Risk Product Data Engineering team at Block builds reliable data foundations that help protect customers across Cash App, Square, and Afterpay. We partner with product, engineering, compliance, and legal teams to support risk detection, reporting, instrumentation, and ML-ready datasets across critical domains including identity, account access, eligibility, controls, and disputes.\n You Will \n \n Lead the creation and optimization of existing data models through AI code generation on eventing, customer level, and process level data.\n Standardize business and product metric definitions in curated and optimized datasets, and develop data dictionaries and other related documentation.\n Build monitoring to assess data quality and lineage and on top build AI agents for false positive reduction and automated resolution. \n Participate in on-call rotation, monitor daily execution, diagnose and log issues, and fix business critical pipelines to ensure SLAs are met with internal stakeholders. Automate this process through AI agents to focus human effort on highest priority tasks.\n Work with non-technical partners and product teams to understand their needs, translate business requirements into applicable data requirements, and come up with automated end-to-end solutions.\n \n You Have \n \n A minimum of 10 years of related experience with a Bachelor’s degree; or 8 years and a Master’s degree; or equivalent experience.\n High proficiency in SQL, Python, and Dbt\n Experience designing medium-to-large data engineering solutions and responsible for the entire lifecycle of projects including scoping, design, development, testing, deployment, and documentation\n Experience with ETL scheduling technologies with dependency checking, such as Airflow or Prefect, as well as \n Experience in schema design and dimensional data modeling\n Experience with setting up data quality and data lineage monitoring\n Experience with data driven decisions through AI and agentic automation\n \n Technologies We Use and Teach \n \n Snowflake\n Databricks\n Dbt\n Github\n Airflow\n Prefect\n Omni\n Terraform\n \n  \n We’re working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace. Block is an equal opportunity employer evaluating all employees and job applicants without regard to identity or any legally protected class. We will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances. We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process. We encourage applicants to share any needed accommodations with their recruiter, who will treat these requests as confidentially as possible. Want to learn more about what we’re doing to build a workplace that is fair and square? Check out our I+D page .\n While there is no specific deadline to apply for this role, U.S. roles are typically open for an average of 55 days before being filled by a successful candidate. Please refer to the date listed at the top of this job page for when this role was first posted.\n  \n Block takes a market-based approach to p","salary_min":168300,"salary_max":252500,"location":"San Francisco, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["data-pipeline","cloud","payments","agents","code-generation","data-engineering"],"apply_url":"http://block.xyz/careers/jobs/5281312008?gh_jid=5281312008","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-07-02T17:34:01Z","expires_at":"2026-09-28T13:40:26.484474Z","created_at":"2026-07-03T14:09:16.691517Z","updated_at":"2026-08-29T13:40:26.639563Z","company_name":"Block","company_slug":"block","company_logo_url":"https://www.google.com/s2/favicons?domain=block.xyz\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/9d404039-fcb8-449d-a86d-505b2458db6e"},{"id":"a9e674c4-8acb-4aab-859f-e10cac573d16","company_id":"a0000000-0000-0000-0000-000000000001","title":"Data Engineer, Safeguards","slug":"p-data-engineer-safeguards-372ad660","description":"About Anthropic \n Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.\n About the role \n As a Data Engineer on the Safeguards team, you will build the data foundations that keep our AI systems safe. The Safeguards team works to monitor models, prevent misuse, and ensure user well-being — and doing that well requires robust, reliable data infrastructure.\n In this role, you will design and build the pipelines, warehousing solutions, and analytical tooling that power our safety and trust efforts at scale. You'll work closely with engineers, data scientists, and policy teams to ensure the Safeguards organization has the data it needs to detect abuse patterns, measure the effectiveness of safety interventions, and make informed decisions about model behavior and enforcement. This is a high-impact role where your work directly supports Anthropic's mission to develop AI that is safe and beneficial.\n Key responsibilities \n \n Design, build, and maintain scalable data pipelines that support safety monitoring, abuse detection, and enforcement workflows\n Develop and optimize data models and warehousing solutions to enable efficient analysis of large-scale usage and safety data\n Build and maintain dashboards and reporting infrastructure that give Safeguards teams visibility into model behavior, misuse patterns, and enforcement outcomes\n Collaborate with engineers to integrate data from multiple sources — including model outputs, user reports, and automated classifiers — into a unified analytical layer\n Implement data quality frameworks, monitoring, and alerting to ensure the reliability of safety-critical data\n Partner with research teams to surface data insights that inform model improvements and safety interventions\n Develop self-service data tooling that enables stakeholders to explore safety data and generate reports independently\n Contribute to data governance practices, including access controls, retention policies, and privacy-compliant data handling\n \n Minimum qualifications \n \n Proficiency in SQL and Python, with hands-on experience building and maintaining ETL/ELT pipelines\n Experience with cloud data platforms such as BigQuery, Redshift, Snowflake, or similar\n Experience with modern data stack tools such as dbt, Airflow, Spark, or similar orchestration and transformation frameworks\n Experience building dashboards and data visualizations using tools such as Looker, Tableau, or Metabase\n Ability to communicate clearly and translate complex data concepts for both technical and non-technical audiences\n \n Preferred qualifications \n \n 8+ years of experience in data engineering, analytics engineering, or a related role\n Comfort contributing across the stack and picking up work outside your immediate scope when the situation calls for it\n Background in trust and safety, integrity, fraud, or abuse detection data systems\n Experience with large-scale event streaming systems such as Kafka, Pub/Sub, or Kinesis\n Experience building data infrastructure that supports ML model monitoring or evaluation\n Familiarity with data privacy and compliance frameworks such as GDPR, CCPA, or similar\n Background in statistical analysis or experience working closely with data scientists\n A genuine interest in the societal implications of AI and in making AI systems safer\n The annual compensation range for this role is listed below. \n For sales roles, the range provided is the role’s On Target Earnings (\"OTE\") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.\n Annual Salary:\n $320,000 — $405,000 USD \n Logistics \n Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience\n Required field of study:  A field relevant to the role as demonstrated through coursework, training, or professional experience\n Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position\n Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.\n Visa sponsorship:  We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.\n We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing impos","salary_min":320000,"salary_max":405000,"location":"San Francisco, CA","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"lead","tags":["alignment","mlops","data-pipeline","data-engineering","data-science"],"apply_url":"https://job-boards.greenhouse.io/anthropic/jobs/5240422008","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-07-01T20:26:10Z","expires_at":"2026-09-28T13:30:17.418074Z","created_at":"2026-07-03T06:27:20.399206Z","updated_at":"2026-08-29T13:30:17.569108Z","company_name":"Anthropic","company_slug":"anthropic","company_logo_url":"https://www.google.com/s2/favicons?domain=anthropic.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/a9e674c4-8acb-4aab-859f-e10cac573d16"},{"id":"13525a3f-edee-40f6-89a0-fca61b3c9118","company_id":"e3915539-5a8f-4461-9f26-06366a918674","title":"Product Data Engineer","slug":"product-data-engineer-c7f0a1f5","description":"Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years.\n ABOUT THE TEAM \n Anduril is seeking a Product Data Engineer to join our Configuration Management team. As a Product Data Engineer you will work closely with the leaders of critical Anduril programs to manage a highly dynamic and fast-paced design, engineering, and manufacturing environment. The Product Data Engineer will have a massive impact on capturing and defining the baseline for a program’s requirements, design, testing, manufacturing, and sustainment data structures (requirements baseline, EBOM, MBOM, SOM, BOP). WHAT YOU'LL DO \n \n Be a partner to Product and Program teams by:\n Working with Anduril system, design, and manufacturing engineers to generate, populate and submit configuration item change requests.\n Preparing critical analyses to support change requests while maintaining configuration integrity and traceability (item dependency analyses, test analyses, effectivity plans, inventory disposition analyses etc.)\n Supporting the execution and implementation of change notices across system engineering, design engineering, manufacturing engineering, and supply chain domains.\n Identifying and executing continuous improvement opportunities by building data-driven perspectives of the full product configuration landscape.\n Be the leader of critical configuration management activities and forums by:\n Supporting configuration managers in managing critical program technical forums (Test Review Board, Change Control Board etc.).\n Working with program teams to prepare for critical technical forums (the Change Review Board, the Change Control Board) including preparing of business cases, test data, effectivity plans, inventory disposition plans, etc.\n Documenting and distributing conclusions, decisions emerging from configuration management forums.\n Conduct periodic product configuration record audits by:\n Supporting configuration management reviews and audits, including FCA/PCA and providing direction before, during and after the events to prevent or resolve issues.\n Reconciling released bills of materials against baseline bills of materials by confirming all variances have signed-off change notices.\n Reconciling product as-built-records against released bills of materials by confirming all variances have quality deviations.\n Identifying, analyzing resolving non-conformances; finding and resolving root-causing failure modes.\n Be an expert resource for the Product Teams for Engineering Release and Change Management processes and standards by:\n Using Teamcenter software to manage Engineering changes, including part revisions, EBOM/MBOM/SBOM updates, documentation modifications, and associated workflows.\n Providing guidance and support to Engineering teams in configuring the Engineering, Manufacturing, and Service Bills of Materials (EBOM, MBOM, SBOM)\n Supporting Configuration Managers and Engineers in defining and maintaining configurable product data sets (i.e., 150% BOMs, product variant dictionaries and schema).\n Being a Teamcenter super-user and able to train product team users on workflows.\n Be part of the team defining the future of digital engineering at Anduril by:\n Partnering with engineering teams to set requirements and identify improvement opportunities in existing ways of working by creating tools or enhancing existing workflows.\n Building an end-to-end digital thread that maintains an accurate product definition, system by system, from the definition of requirements to the as maintained record.\n Identifying and piloting opportunities to leverage Anduril’s AI capabilities tools to unlock increased speed, accuracy, and efficiency within Anduril’s configuration management activities.\n \n REQUIRED QUALIFICATIONS \n \n 3+ years of configuration analysis or equivalent experience.\n 3+ years of demonstrated experience working in high complexity and high-rate production environments (aerospace, automotive, security systems, medical devices, nuclear).\n Familiar with configuration management principles and practices (EIA649/C, MIL-HDBK-61B).\n Experience with product lifecycle management (PLM) and/or data management toolsets for configuration management of complex products\n Possess high attention to detail and strong organizational skills.\n Excellent written and verbal communication skills","salary_min":112000,"salary_max":149000,"location":"Irvine, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"mid","tags":["computer-vision","cloud","payments","data-engineering"],"apply_url":"https://boards.greenhouse.io/andurilindustries/jobs/5150089007?gh_jid=5150089007","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-06-29T18:01:58Z","expires_at":"2026-09-28T13:37:49.06965Z","created_at":"2026-06-30T14:06:43.416674Z","updated_at":"2026-08-29T13:37:49.258498Z","company_name":"Anduril","company_slug":"anduril","company_logo_url":"https://www.google.com/s2/favicons?domain=anduril.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/13525a3f-edee-40f6-89a0-fca61b3c9118"},{"id":"ab119a08-297b-47ab-bb06-bbd894752785","company_id":"714f360f-a244-487d-b3f0-0c43518a9e66","title":"Principal Engineer, AI Platform","slug":"principal-engineer-ai-platform-4f8f6a33","description":"About Pinterest: \n Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.\n Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the  flexibility to do your best work. Creating a career you love? It’s Possible.\n At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI.\n Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here .\n Millions of people across the world come to Pinterest to find new ideas every day. It’s where they get inspiration, dream about new possibilities and plan for what matters most. Our mission is to help those people find their inspiration and create a life they love. As a Pinterest employee, you’ll be challenged to take on work that upholds this mission and pushes Pinterest forward.\n As a Principal Engineer on the AI Platform team, you'll help architect the infrastructure that powers both Generative AI and Recommender Systems across Pinterest's entire product suite. Our team builds the end-to-end engines for petabyte-scale data orchestration, model training and fine-tuning, and high-performance inference, ensuring our models scale seamlessly to hundreds of millions of inferences per second in service of over 600 million monthly active users.\n  \n What you’ll do: \n \n Set the technical vision and roadmap for the Pinterest AI Platform, aligning with business priorities and long-term company strategy.\n Drive cross-functional strategic initiatives that advance our platform capabilities across:\n \n Generative AI: multimodal data management, post-training, evaluation, and batch/online inference.\n Recommender Systems: feature stores, training infra, and large-scale high performance inference.\n AI-powered tools that automate the user experience across our platforms, connecting every stage of the AI/ML lifecycle to enhance productivity and accelerate development.\n \n Cultivate a collaborative and inclusive culture where every team member feels welcome and empowered, and provide candid, constructive feedback that accelerates individual and team growth.\n \n  \n What we’re looking for: \n \n Deep expertise in AI/ML infrastructure and distributed systems: Hands-on experience designing, building, and operating highly available, production-grade systems at large scale; strong technical judgment; and proficiency in at least one of C++, Java, or Rust.\n Proven track record of company-wide impact: Experience leading cross-organizational initiatives, navigating ambiguity, defining technical strategy, influencing architecture decisions, and aligning cross-functional partners and executives around a shared direction.\n Strong ownership and a high engineering bar: Sets and upholds high standards for engineering quality, integrity, and accountability, and takes end-to-end ownership of outcomes.\n Bachelor's degree in Computer Science or a related field.\n \n  \n Relocation Statement : \n \n This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.\n \n  \n In-Office Requirement Statement : \n \n We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.\n This role will need to be in the office for in-person collaboration 1-2 times per quarter and therefore needs to be in a commutable distance from one of the following offices: Palo Alto, CA or San Francisco, CA. \n \n #LI-REMOTE\n #LI-AH2\n At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.\n Information regarding the culture at Pinterest and benefits available for this position can be found here . \n US based applicants only\n $242,634 — $499,541 USD \n Our Commitment to Inclusion: \n Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified","salary_min":242634,"salary_max":499541,"location":"San Francisco, CA","workplace":"remote","remote_scope":"unknown","job_type":"full-time","experience_level":"principal","tags":["fine-tuning","distributed-systems","generative-ai","data-engineering"],"apply_url":"https://www.pinterestcareers.com/jobs/?gh_jid=7888329","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-06-12T17:10:49Z","expires_at":"2026-09-28T13:39:29.122861Z","created_at":"2026-06-28T14:08:23.126563Z","updated_at":"2026-08-29T13:39:29.275949Z","company_name":"Pinterest","company_slug":"pinterest","company_logo_url":"https://www.google.com/s2/favicons?domain=www.pinterest.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/ab119a08-297b-47ab-bb06-bbd894752785"},{"id":"df1eb663-3291-469f-99fa-889a704b06f9","company_id":"714f360f-a244-487d-b3f0-0c43518a9e66","title":"Data Scientist II, Infrastructure","slug":"data-scientist-ii-infrastructure-76c04719","description":"About Pinterest: \n Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.\n Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the  flexibility to do your best work. Creating a career you love? It’s Possible.\n At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI.\n Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here .\n Pinterest brings millions of people the inspiration to create a life they love. Behind that experience is a complex infrastructure ecosystem that powers reliability, performance, measurement, and efficiency across the platform. As Pinterest grows, it’s increasingly important that we understand these systems clearly so we can make smarter decisions for both Pinners and the business.\n  \n We’re looking for a Data Scientist to join our Infrastructure Data Science team. In this role, you’ll partner with engineering and cross-functional teams to make Pinterest’s infrastructure more measurable, intelligible, and actionable. Depending on the area, your work may span app performance, shopping infrastructure, metrics quality, infrastructure governance, or site reliability. You’ll help build the data foundations, measurement systems, and analytical frameworks that enable Pinterest to optimize core technical systems and make better product and infrastructure decisions. \n What you’ll do: \n In this role, you will partner closely with engineering and cross-functional teams to improve how Pinterest measures, understands, and optimizes its infrastructure:\n \n Partner with engineering teams to define, measure, and improve the health, quality, and efficiency of Pinterest’s infrastructure systems.\n Build and refine metrics, dashboards, and analytical frameworks that make complex technical systems more understandable and actionable.\n Strengthen data foundations by improving metric definitions, auditing data quality, and contributing to pipeline and measurement improvements where needed.\n Design and analyze experiments, investigations, and deep dives to quantify the impact of infrastructure changes on user experience, reliability, and business outcomes.\n Translate ambiguous technical problems into clear analyses and actionable recommendations for engineering and platform partners.\n Support high-priority investigations and decision-making related to infrastructure performance, reliability, cost, and measurement quality.\n Identify opportunities to improve how Pinterest measures and optimizes infrastructure across a range of domains, such as performance, shopping infrastructure, governance, metrics quality, and site reliability. \n \n What we’re looking for: \n \n Masters degree in a relevant field such as Statistics, Applied Math, Biostatistics, or equivalent experience.\n Strong SQL and analytical programming skills, with experience working through messy, imperfect data and building reliable metrics and datasets.\n Experience partnering on or contributing to production-ready data pipelines, measurement systems, or foundational data work that improves data quality and usability.\n Solid foundation in experimentation and measurement, with the ability to design analyses, interpret results rigorously, and partner effectively with engineers and other cross-functional stakeholders.\n Demonstrated ability to translate ambiguous problems into clear analytical workstreams and actionable recommendations.\n Strong cross-functional communication skills, with the ability to explain technical findings clearly to engineering, product, and platform stakeholders.\n Ability to operate independently, prioritize across both longer-term projects and fast-turn inbound requests, and drive work forward in a dynamic environment.\n Curiosity and a builder mindset, with excitement for improving messy systems and creating more scalable, trustworthy measurement foundations.\n \n  \n Relocation Statement: \n \n \n We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role. \n \n  \n In-Office Requirement Statement: \n \n This position is not eligible for relocation assistance. Visit our PinFlex page to l","salary_min":114297,"salary_max":235319,"location":"San Francisco, CA","workplace":"remote","remote_scope":"unknown","job_type":"full-time","experience_level":"mid","tags":["data-pipeline","data-engineering","data-science","infrastructure"],"apply_url":"https://www.pinterestcareers.com/jobs/?gh_jid=7816424","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-05-18T18:21:18Z","expires_at":"2026-09-28T13:39:28.09392Z","created_at":"2026-05-27T14:08:38.877001Z","updated_at":"2026-08-29T13:39:28.247919Z","company_name":"Pinterest","company_slug":"pinterest","company_logo_url":"https://www.google.com/s2/favicons?domain=www.pinterest.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/df1eb663-3291-469f-99fa-889a704b06f9"},{"id":"13a6bdb5-cf40-4e9e-85f4-af6c9c89b189","company_id":"63839083-85dd-4aa0-b128-254fc82866e5","title":"Senior / Staff Software Engineer, ML Datasets \u0026 Data Pipelines","slug":"senior-staff-software-engineer-ml-datasets-data-pipelines-d6def817","description":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.\n\nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai\n\n\nAs a Senior/Staff Software Engineer embedded within our Autonomy \u0026 Algorithms team, you will build the scalable ML data pipelines necessary to train and evaluate Waabi’s autonomous driving platform. Working closely with world-renowned scientists and engineers, you will solve complex data challenges to accelerate our launch of fully driverless vehicles.\n \nYou Will..\n- Design and implement data pipelines using real-world driving data and Waabi World (our high-fidelity simulator) to train and evaluate deep learning models.\n- Optimize data formats, caching, and dataloading to drive highly efficient ML training and evaluation at scale.\n- Improve data sampling and composition for deep data introspection to track model performance and uncover critical edge-case scenarios.\n- Champion engineering excellence by writing high-quality, well-structured, and rigorously tested code.\n- Help drive project roadmap planning, prioritization, and delivery.\nQualifications:\n- BS or MS in Computer Science, Machine Learning, or a related technical field, with 4+ years of industry experience.\n- Proficiency in Python and strong software engineering fundamentals, including experience with deep learning frameworks such as PyTorch, TensorFlow, or JAX.\n- Hands-on experience building distributed ETL and data processing pipelines.\n- Direct experience managing ML pipelines, including dataset management, dataloading, and optimization.\n- Strong understanding of cloud job orchestration, monitoring, and instrumentation best practices.\n- A collaborative, open-minded approach with a passion for tackling hard problems in autonomous technology and a strong willingness to mentor others.\n \nBonus Points:\n- Experience with optimizing large scale distributed training pipelines and/or highly optimized ML inference pipelines.  \n- Experience with MapReduce (Apache Hadoop/Spark) or orchestration frameworks (Apache Airflow, Apache Beam, Google Cloud Dataflow, AWS Step Functions).\n- Experience solving data challenges specific to autonomous driving.\n- Familiarity with linear algebra (projections, transforms) and 3D geometry.\n- Experience working with multimodal sensor data (e.g., LiDAR, RADAR, camera).\n","salary_min":148000,"salary_max":260000,"location":"Toronto, Canada","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"lead","tags":["data-pipeline","autonomous-vehicles","cloud","pytorch","tensorflow","deep-learning","distributed-systems","data-engineering"],"apply_url":"https://jobs.lever.co/waabi/81ed817e-cb56-45f8-aac6-e645610798da/apply","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-03-26T16:35:32.938Z","expires_at":"2026-09-28T13:36:34.683825Z","created_at":"2026-04-13T09:41:54.316786Z","updated_at":"2026-08-29T13:36:34.83452Z","company_name":"Waabi","company_slug":"waabi","company_logo_url":"https://www.google.com/s2/favicons?domain=waabi.ai\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/13a6bdb5-cf40-4e9e-85f4-af6c9c89b189"},{"id":"d5c58ff8-1093-4c47-80e6-a3b88d596560","company_id":"a0000000-0000-0000-0000-000000000001","title":"Data Engineering Manager, Product","slug":"analytics-data-engineering-manager-product-f864f076","description":"About Anthropic \n Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.\n About the role\n As a Data Engineering Manager focused on Product, you will build and lead the analytics engineering team responsible for creating the data foundations that enable data-driven decision making across Anthropic’s Product organization.  You will oversee the development of scalable data solutions for Product pillars – including Consumer, Claude Code, Enterprise \u0026 Verticals, Growth, Platform Product – managing a team of analytics engineers and working closely with stakeholders across Data Science, Product, and Engineering to ensure teams have access to reliable, accurate metrics that can scale with our company’s growth.\n In this role, you will balance hands-on technical leadership with people management, setting the strategic vision for product data foundations while developing and mentoring team members.  You will partner closely with Product Data Scientists, Product Managers, and Product Engineers to understand how users interact with Claude, how to measure product quality and growth, and how to transform raw event logs into insightful data marts that power product decisions.\n Responsibilities :\n \n \n Build and scale the Product Analytics Engineering team, including hiring and mentoring a team of high-performing analytics engineers embedded with Product pillars\n \n Define and execute the strategic roadmap for product data foundations and analytics capabilities\n \n Oversee the design and implementation of scalable data pipelines, data models, and analytics solutions that transform raw product event logs into canonical datasets and insightful data marts\n \n Partner with Data Science, Product, and Engineering leadership to understand data needs and translate them into technical requirements\n \n Establish and maintain high data integrity standards, SLAs, alerting, and best practices for the team\n \n Drive the development of foundational data products, dashboards, and tools to enable self-serve analytics; partner with the Data Science team to build innovative data tools using Claude to scale data-driven decisions across Product teams\n \n Foster a culture of technical excellence, continuous learning, and data-driven decision making\n \n Serve as a technical thought leader for data modeling, ETL processes, and product analytics infrastructure\n \n You might be a good fit if you have: \n \n \n 8+ years of experience managing analytics engineering or data engineering teams, preferably in a scaling startup environment\n \n 10+ years of total experience in analytics engineering, data engineering, or similar data-focused roles\n \n Deep expertise in data modeling, ETL pipelines, and data warehouse architecture\n \n Strong technical foundation with expertise in SQL, Python, dbt, and modern data stack tools\n \n Proven track record of building and leading high-performing teams\n \n Experience partnering with Data Science, Product, and Engineering leaders to deliver key product metrics and user behavior insights\n \n Demonstrated ability to balance strategic thinking with hands-on technical leadership\n \n Strong communication skills with the ability to translate complex technical concepts for diverse audiences\n \n Experience scaling analytics functions from early stage to maturity in rapidly changing environments\n \n Track record of establishing data governance, quality standards, and best practices\n \n A bias for action and urgency, not letting perfect be the enemy of the effective\n \n A “full-stack mindset”, not hesitating to do what it takes to solve a problem end-to-end\n \n A passion for Anthropic’s mission of building helpful, honest, and harmless AI\n The annual compensation range for this role is listed below. \n For sales roles, the range provided is the role’s On Target Earnings (\"OTE\") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.\n Annual Salary:\n $405,000 — $485,000 USD \n Logistics \n Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience\n Required field of study:  A field relevant to the role as demonstrated through coursework, training, or professional experience\n Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position\n Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.\n Visa sponsorship:  We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every rea","salary_min":405000,"salary_max":485000,"location":"San Francisco, CA","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"lead","tags":["data-pipeline","alignment","data-engineering","data-science"],"apply_url":"https://job-boards.greenhouse.io/anthropic/jobs/5125387008","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-02-20T00:49:54Z","expires_at":"2026-09-28T13:30:17.313699Z","created_at":"2026-05-10T14:00:12.031668Z","updated_at":"2026-08-29T13:30:17.474194Z","company_name":"Anthropic","company_slug":"anthropic","company_logo_url":"https://www.google.com/s2/favicons?domain=anthropic.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/d5c58ff8-1093-4c47-80e6-a3b88d596560"},{"id":"f0061aa7-7ffd-49a1-a92d-feac6070c604","company_id":"9e823d7c-7833-447b-9466-a78c031a7a48","title":"Senior Software Engineer - Data Engineering - Moloco Commerce Media","slug":"senior-software-engineer-data-engineering-moloco-commerce-media-b3b8b584","description":"About Moloco: \n Moloco builds some of the most powerful AI advertising solutions in the world. Our name—short for \"machine learning company\"—reflects our core mission: democratizing access to the advanced AI that has historically been reserved for tech giants. Led by machine learning pioneers who built some of the most successful ad systems at Google, including YouTube's monetization engine and key search advertising technologies, we're transforming how businesses grow and compete in the digital economy.\n Built with AI from day one, Moloco’s planet-scale machine learning platform powers a suite of solutions for advertising growth and monetization. Moloco Ads is an AI-powered platform that delivers real business outcomes for mobile app marketers through performance-based user acquisition. Moloco Commerce Media enables retailers and marketplaces to build revenue-generating ad businesses that balance user experience and advertiser performance.\n Moloco is headquartered in Silicon Valley, with offices in Seattle, New York, San Francisco, Seoul, Beijing, Singapore, Gurgaon, Tokyo, Shanghai, London, Tel Aviv, and Berlin.\n Moloco is a truly rewarding place to work and in an exciting period of growth, which you could be a part of. Join us today and apply now!\n The Impact You’ll Be Contributing to Moloco \n \n You will be responsible for developing an ML-based online advertising platform for the rapidly growing retail media industry.\n You will play a pivotal role designing, developing and optimizing the data infrastructure and pipelines to build robust and scalable solutions that power Moloco’s data-driven products.\n You will mentor others on the team and have the opportunity to lead high impact projects.\n \n The Opportunity \n \n Design and develop complex data pipelines and ETL processes for manipulating and managing big data.\n Improve cost effectiveness of data pipelines, storage, and databases, both independently and in collaboration with cross-functional teams.\n Design and implement data quality and governance processes to ensure data accuracy, consistency, and compliance.\n Enhance system scalability, availability, and performance across Moloco Commerce Media’s data infrastructure.\n Develop internal tools to boost developer productivity and system efficiency.\n Participate in cross-functional projects and initiatives, providing technical expertise and guidance.\n Collaborate with teams such as Infrastructure, Machine Learning, Data Science, Analytics, and Production to build the best ad platform.\n Tech lead a small team to contribute to high-impact projects.\n \n How Do I Know if the Role is Right For Me? \n \n Bring 6+ years of software engineering experience using modern languages such as Java, C#, Go, C++, Python, and foundational SQL knowledge, with proficiency in SQL or NoSQL database technologies.\n Demonstrate experience with computer systems architecture, operating systems, or distributed systems.\n Possess extensive experience with cloud platforms (e.g., AWS, Azure, Google Cloud) or equivalent on-premise systems.\n Apply strong programming fundamentals, testing practices, and knowledge of common algorithms and data structures.\n Exhibit system design and development skills, especially in large-scale environments.\n Work with at least one of the following: data modeling, analytics, data management, or big data processing/MapReduce.\n Display strong analytical and troubleshooting skills in ambiguous or evolving environments.\n Maintain a growth mindset, staying updated on emerging technologies and industry trends, and sharing knowledge with others.\n Communicate and collaborate effectively across teams.\n Deep, hands-on experience in ads infrastructure (bidding, pacing, budget optimization, or measurement) at large revenue scale a plus. \n \n \n Compensation \u0026 Benefits \n U.S.-based employees have access to medical, dental, and vision insurance, a 401(k) plan with company match, short-term and long-term disability coverage, basic life insurance, and well-being benefits and perks. U.S.-based employees also receive up to 12 scheduled paid holidays per calendar year and one Thrive Day off per quarter. Additionally, all employees have Flexible Time Off (FTO). \n The successful candidate may be eligible for a bonus and equity awards. Eligibility and amounts are determined by performance and the terms of the applicable plans. \n The location for this role is listed above. For base pay range purposes, location-based compensation is grouped into the following regions. Your region is determined by your assigned work location. \n \n Region A: Menlo Park Office, New York Office, SF Bay Area, New York Metro Area \n Region B:  Seattle Office, Seattle, Los Angeles/Orange County, San Diego, Austin, Boston, Washington DC Metro Area, Miami \n Region C: All other U.S. locations \n \n Salary Ranges: \n Region A:\n $188,000 — $235,000 USD \n Region B:\n $169,200 — $211,500 USD \n Region C:\n $159,800 — $199,750 USD \n Moloco Thrive: Benefits a","salary_min":159800,"salary_max":199750,"location":"Menlo Park, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["data-pipeline","distributed-systems","platform","data-engineering"],"apply_url":"https://job-boards.greenhouse.io/moloco/jobs/7607957003","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-02-09T21:36:44Z","expires_at":"2026-09-28T13:46:48.050536Z","created_at":"2026-04-22T15:53:15.596111Z","updated_at":"2026-08-29T13:46:48.209125Z","company_name":"Moloco","company_slug":"moloco","company_logo_url":"https://www.google.com/s2/favicons?domain=moloco.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/f0061aa7-7ffd-49a1-a92d-feac6070c604"},{"id":"6d89dd83-c08c-4bc0-8753-b6484ed59168","company_id":"34cd55a7-59d0-4c54-bde4-216aadd50eae","title":"Software Engineer, Data","slug":"software-engineer-data-360da71c","description":"About HeyGen \n At HeyGen, our mission is to make visual storytelling accessible to all. Over the last decade, visual content has become the preferred method of information creation, consumption, and retention. But the ability to create such content, in particular videos, continues to be costly and challenging to scale. Our ambition is to build technology that equips more people with the power to reach, captivate, and inspire audiences. Learn more at  www.heygen.com .  Visit our Mission and Culture doc here . \n Position Summary \n A Software Engineer with data engineering responsibilities to bridge the gap between core application development and large-scale data infrastructure.  You will help build the data foundational layers for our next-generation features. This role is not just about moving data—it’s about enabling AI models to function in real-time, building robust pipelines for multimedia, and powering engaging user experiences. This team is currently working on cutting-edge features including PPT-to-video converters and interactive, conversational video capabilities.\n Core Responsibilities \n \n Build \u0026 Scale Data Pipelines: Design, develop, and maintain robust batch and real-time data pipelines (using Python, Go, Spark, Kafka) that ingest and transform massive multi-modal data—text, audio, and video—to train and run AI models.\n Power Intelligent Features: Collaborate with ML engineers to implement data structures and APIs for new, exciting features like PPT-to-video automation and interactive AI avatars that require low-latency data fetching.\n Data Lakehouse Infrastructure: Architect and manage data lakehouse solutions (e.g., Snowflake, Databricks, Apache Iceberg) to store and query unstructured media data efficiently, enhancing storage and computation efficiency.\n Data Reliability \u0026 Observability: Implement data quality checks, data contracts, and monitoring to ensure high reliability of data, preventing downtime in production video generation.\n Productize Data: Transform raw data into structured, actionable data products that can be easily consumed by front-end applications, API endpoints, and AI agents.\n \n Qualifications \n \n Bachelor’s/Master’s degree in Computer Science, Engineering, or a related field.\n 3-5+ years of experience as a Backend Software Engineer with heavy data processing responsibilities.\n Strong proficiency in Python (for ETL/scripting) and SQL (for data modeling).\n Experience with cloud platforms (AWS/GCP) and data technologies like Kafka, Spark, and Snowflake/Databricks.\n Experience or interest in Computer Vision/Generative AI data processing.\n Proactive, \"owner\" mindset; ability to operate in a fast-paced, startup environment.\n \n What HeyGen Offers \n \n Competitive salary and benefits package.\n Dynamic and inclusive work environment focused on innovation and creativity.\n Opportunities for professional growth and skill development.\n Collaborative culture that values teamwork and employee input.\n Access to state-of-the-art technologies and tools.\n \n Salary Range $180,000 – $220,000 + equity + benefits Please note that the salary information is a general guideline only.  HeyGen considers factors such as scope and responsibilities of the position, candidate's work experience, education/training, key skills, and internal equity, as well as location, market and business considerations when extending an offer.  As part of our total rewards package, HeyGen offers comprehensive benefits including equity, a 401k plan, health benefits, generous PTO, a parental leave program and emotional health resources.\n HeyGen is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.\n Join us at HeyGen and be part of a team that's reshaping the world of video creation through innovative technology!","salary_min":180000,"salary_max":220000,"location":"San Francisco, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["computer-vision","generative-ai","data-pipeline","agents","data-engineering"],"apply_url":"https://job-boards.greenhouse.io/heygen/jobs/5044951007","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-02-06T01:02:40Z","expires_at":"2026-09-28T13:45:36.476269Z","created_at":"2026-04-16T15:55:47.380084Z","updated_at":"2026-08-29T13:45:36.632575Z","company_name":"HeyGen","company_slug":"heygen","company_logo_url":"https://www.google.com/s2/favicons?domain=heygen.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/6d89dd83-c08c-4bc0-8753-b6484ed59168"}],"page":1,"per_page":20,"total":95,"total_is_exact":true,"total_pages":5}