{"access":{"advertiser_pricing_url":"https://aidevboard.com/pricing","catalog_url":"https://aidevboard.com/api/v1/catalog","description":"Public read endpoints are open and free. API keys are optional for stable agent identity and keyed hourly throttling.","docs_url":"https://aidevboard.com/docs","mode":"open","register_url":"https://aidevboard.com/api/v1/register"},"degraded":false,"estimated":false,"has_next":true,"jobs":[{"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":["cloud","agents","autonomous-vehicles","llm","data-pipeline","infrastructure","data-science","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":"2026-08-14T14:06:40.546103Z","created_at":"2026-07-15T14:06:40.677939Z","updated_at":"2026-07-15T14:06:40.677939Z","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":"58ddb548-32cb-47ff-9778-f85baf797bcf","company_id":"a0000000-0000-0000-0000-000000000003","title":"Senior Data Engineer, Public Sector","slug":"senior-data-engineer-public-sector-8cb646e9","description":"Senior Data Engineer, Public Sector\n As a Data Engineer for the Public Sector business unit, you will build Scale's analytical and business-intelligence infrastructure. Scale's customers process millions of tasks through our APIs, and we're looking for a talented Data Engineer to build scalable solutions to support this growth. You will have widespread purview, with responsibility for understanding, mining, aggregating, and exposing data across the entire business unit to support timely and efficient decision-making and data exploration. You will also implement Scale's data warehouse, data mart, and business intelligence reporting environments, and help users transition their workflows to these systems. \n This role requires collaboration with leadership and cross-functional teams to solve complex problems and develop sustainable, scalable data solutions. Your responsibilities will include both ad-hoc analyses and the creation of core data models and pipelines, directly impacting how Scale operates and evaluates its performance.\n You will:\n \n Work with operations, finance, and engineering to drive the development of pipelines that provide single-source-of-truth foundational accuracy\n Continually improve ongoing data pipelines and simplify self-service support for business stakeholders\n Perform regular system audits, and create data quality tests to ensure complete and accurate reporting of data/metrics\n Develop repeatable, scalable analytical solutions, such as data models, improved pipelines, or better underlying tables\n Have an active Secret security clearance (Top Secret preferred) \n \n Ideally You’d Have:\n \n 5+ years of relevant work experience in a role requiring application of data modeling and analytic skills\n Ability to create extensible and scalable data schema and pipelines that lay the foundation for downstream analysis\n Mastery of SQL and relational databases; experience with programming languages (e.g., Python/R)\n Experience building a reliable transformation layer and pipelines from ambiguous business processes using tools such DBT to create a foundation for data insights\n \n  \n Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. \n The base salary range for this full-time position in the location of Washington DC is:\n $150,400 — $259,000 USD \n PLEASE NOTE:  Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. \n About Us: \n At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst \u0026 Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. \n We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.  \n We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. \n We comply with the United States Department of Labor's Pay Transparency provision .  \n PLEASE NOTE: We collect, retain and use personal d","salary_min":150400,"salary_max":259000,"location":"Washington, DC","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["fine-tuning","data-pipeline","data-engineering","data-science"],"apply_url":"https://job-boards.greenhouse.io/scaleai/jobs/4713597005","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-07-11T02:29:10Z","expires_at":"2026-08-14T14:01:46.806174Z","created_at":"2026-07-12T14:01:20.981859Z","updated_at":"2026-07-15T14:01:46.933728Z","company_name":"Scale AI","company_slug":"scale-ai","company_logo_url":"https://www.google.com/s2/favicons?domain=scale.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/58ddb548-32cb-47ff-9778-f85baf797bcf"},{"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":["agents","payments","code-generation","data-pipeline","cloud","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":"2026-08-14T14:11:28.681549Z","created_at":"2026-07-03T14:09:16.691517Z","updated_at":"2026-07-15T14:11:28.849853Z","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":"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":146000,"salary_max":194000,"location":"Irvine, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"mid","tags":["cloud","computer-vision","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":"2026-08-14T14:08:53.166729Z","created_at":"2026-06-30T14:06:43.416674Z","updated_at":"2026-07-15T14:08:53.300952Z","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":"3c51bb5a-7527-4bdd-b62f-68a131743e8b","company_id":"9d70a126-16ff-4f5c-9f36-2133735865d3","title":"Staff Data Engineer","slug":"staff-data-engineer-2d95d923","description":"Who We Are \n Verkada is transforming how organizations protect their people and places with an integrated, privacy-sensitive AI-powered platform that includes solutions for video security, access control, air quality sensors, alarms, intercoms, and visitor management. \n We’ve got serious momentum in the market: more than 30,000 customers (including 100+ of the Fortune 500), a $5.8B valuation , more than $1 billion in annualized bookings, and backing from CapitalG, Sequoia Capital, General Catalyst, Felicis Ventures, Next47 and more. Physical AI is one of the most consequential technology shifts of our time, and Verkada is at the center of it.\n You can look at all kinds of communities to see our platform’s impact in the world. It's the retailer that uses our agentic AI to deter theft before it happens. The warehouse that uses AI-powered alerts to make sure its team is protected on the floor with proper PPE. The school that’s alerted to a threat in real-time and triggers a lockdown in seconds, not minutes. We’re rapidly scaling this impact: today, more than 2 million Verkada devices are deployed across 170+ countries. \n About the Role \n As a member of our Data Platforms and Analytics Team and reporting directly to the Head of Data, you will be responsible for developing the core enterprise data warehouse infrastructure, data models, and pipelines at Verkada. We aim to provide a single reporting source of truth for enterprise data with clear business data definitions to empower internal Finance, Sales, Marketing, Product and HR teams to make informed data driven decisions. Our strategy emphasizes automation, scalable architecture, and accuracy, while providing iterative improvements over time.\n We are committed to a thriving in-office culture. This role requires you to be onsite at our HQ in San Mateo, CA.\n What You'll Do \n \n Architect, engineer and maintain efficient, scalable warehouse infrastructure that facilitates high-quality, accurate insights and reporting.\n Lead, design, implement and manage automated data pipelines from various data sources including databases, API endpoints, business systems, and data lakes.\n Lead collaboration across departments to develop bronze, silver, and gold data models, enforcing business alignment and data governance.\n Partner with Finance, Sales, Marketing, Product, and HR stakeholders to define data pipeline sources, data modeling requirements, and data quality standards.\n Partner with the Head of Data to build and drive the data engineering roadmap — translating business priorities, technical debt, and platform gaps into a sequenced, milestone-driven plan that aligns with business objectives.\n Own the entire project lifecycle, moving initiatives from initial design through to production leveraging development standards such as Github PR reviews and Jira sprint board management.\n Drive platform-wide engineering standards: code quality, testing frameworks, CI/CD practices, data modeling conventions, and documentation, raising the bar across the entire data engineering team.\n Create and deploy strategies to maintain data security, integrity, and regulatory compliance.\n Provide leadership and guidance to grow and mentor future members of the data engineering team.\n \n What You Bring \n \n Bachelor's or Master's degree in Computer Science or a related technical field.\n Minimum of 10 years of professional data engineering experience.\n Advanced skill in Python and SQL.\n Expertise with cloud warehouses such as BigQuery, Snowflake, or Databricks leveraging DBT as a data modeling framework.\n Expertise in managing data lakes with open source file formats such as Apache Iceberg, Delta Lake or Apache Hudi\n Proven track record in constructing automated pipelines using Airflow, Dagster, Fivetran from various operational databases, API endpoints, business systems, and data lakes.\n Expert-level proficiency in SQL and Python is required.\n Experience building / managing data observability and data quality platforms such as BigEye, Monte Carlo and Great Expectations is a plus\n Familiarity or experience building vector databases for Generative AI use cases is a plus.\n Experience building Gen AI agents to optimize development workflows within data engineering is a plus.\n Experience building Gen AI agents for providing support for business intelligence related inquiries is a plus\n Must be willing and able to work onsite five days per week.\n \n Employee Benefits \n Verkada is committed to fostering a workplace environment that prioritizes the holistic health and wellbeing of our employees and their families by offering comprehensive wellness perks, benefits, and resources. Our benefits and perks programs include, but are not limited to:\n \n Healthcare programs that can be tailored to meet the personal health and financial well-being needs - Premiums are 100% covered for the employee under at least one plan and 80% for family premiums under all plans\n Nationwide medical, vision and dental ","salary_min":190000,"salary_max":250000,"location":"San Mateo, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"lead","tags":["agents","healthcare","data-pipeline","embeddings","generative-ai","data-engineering"],"apply_url":"https://job-boards.greenhouse.io/verkada/jobs/5162794007","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-06-12T18:07:21Z","expires_at":"2026-08-14T14:11:46.455573Z","created_at":"2026-06-28T14:09:27.17647Z","updated_at":"2026-07-15T14:11:46.583047Z","company_name":"Verkada","company_slug":"verkada","company_logo_url":"https://www.google.com/s2/favicons?domain=verkada.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/3c51bb5a-7527-4bdd-b62f-68a131743e8b"},{"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","generative-ai","distributed-systems","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":"2026-08-14T14:10:31.225394Z","created_at":"2026-06-28T14:08:23.126563Z","updated_at":"2026-07-15T14:10:31.353585Z","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-science","infrastructure","data-engineering"],"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":"2026-08-14T14:10:30.273645Z","created_at":"2026-05-27T14:08:38.877001Z","updated_at":"2026-07-15T14:10:30.401365Z","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":"56169506-5603-4cc9-8a02-2c4a36957dba","company_id":"9d70a126-16ff-4f5c-9f36-2133735865d3","title":"Senior Data Engineer","slug":"senior-data-engineer-6a00ba6a","description":"Who We Are \n Verkada is transforming how organizations protect their people and places with an integrated, privacy-sensitive AI-powered platform that includes solutions for video security, access control, air quality sensors, alarms, intercoms, and visitor management. \n We’ve got serious momentum in the market: more than 30,000 customers (including 100+ of the Fortune 500), a $5.8B valuation , more than $1 billion in annualized bookings, and backing from CapitalG, Sequoia Capital, General Catalyst, Felicis Ventures, Next47 and more. Physical AI is one of the most consequential technology shifts of our time, and Verkada is at the center of it.\n You can look at all kinds of communities to see our platform’s impact in the world. It's the retailer that uses our agentic AI to deter theft before it happens. The warehouse that uses AI-powered alerts to make sure its team is protected on the floor with proper PPE. The school that’s alerted to a threat in real-time and triggers a lockdown in seconds, not minutes. We’re rapidly scaling this impact: today, more than 2 million Verkada devices are deployed across 170+ countries. \n About the Role \n As a member of our Data Platforms and Analytics Team and reporting directly to the Head of Data, you will be responsible for developing the core enterprise data warehouse infrastructure, data models, and pipelines at Verkada. We aim to provide a single reporting source of truth for enterprise data with clear business data definitions to empower internal Finance, Sales, Marketing, Product and HR teams to make informed data driven decisions. Our strategy emphasizes automation, scalable architecture, and accuracy, while providing iterative improvements over time.\n We are committed to a thriving in-office culture. This role requires you to be onsite at our HQ in San Mateo, CA.\n What You'll Do \n \n Engineer and maintain efficient, scalable warehouse infrastructure that facilitates high-quality, accurate insights and reporting.\n Design, implement and manage automated data pipelines from various data sources including databases, API endpoints, business systems, and data lakes.\n Collaborate across departments to develop bronze, silver, and gold data models, enforcing business alignment and data governance.\n Partner with Finance, Sales, Marketing, Product, and HR stakeholders to define data pipeline sources, data modeling requirements, and data quality standards.\n Oversee the entire project lifecycle, moving initiatives from initial design through to production leveraging development standards such as Github PR reviews and Jira sprint board management.\n Create and deploy strategies to maintain data security, integrity, and regulatory compliance.\n Provide leadership and guidance to grow and mentor future members of the data engineering team.\n \n What You Bring \n \n Bachelor's or Master's degree in Computer Science or a related technical field.\n Minimum of 5 years of professional data engineering experience.\n Advanced skill in Python and SQL.\n Expertise with cloud warehouses such as BigQuery, Snowflake, or Databricks leveraging DBT as a data modeling framework.\n Expertise in managing data lakes with open source file formats such as Apache Iceberg, Delta Lake or Apache Hudi\n Proven track record in constructing automated pipelines using Airflow, Dagster, Fivetran, and / or Airbyte from various operational databases, API endpoints, business systems, and data lakes.\n Expert-level proficiency in SQL and Python is required.\n Experience building / managing data observability and data quality platforms such as BigEye, Monte Carlo and Great Expectations is a plus\n Familiarity or experience building vector databases for Generative AI use cases is a plus.\n Experience building Gen AI agents to optimize development workflows within data engineering is a plus.\n Experience building Gen AI agents for providing support for business intelligence related inquiries is a plus\n Must be willing and able to work onsite five days per week.\n \n Employee Benefits \n Verkada is committed to fostering a workplace environment that prioritizes the holistic health and wellbeing of our employees and their families by offering comprehensive wellness perks, benefits, and resources. Our benefits and perks programs include, but are not limited to:\n \n Healthcare programs that can be tailored to meet the personal health and financial well-being needs - Premiums are 100% covered for the employee under at least one plan and 80% for family premiums under all plans\n Nationwide medical, vision and dental coverage\n Health Saving Account (HSA) with annual employer contributions and Flexible Spending Account (FSA) with tax saving options\n Expanded mental health support\n Paid parental leave policy \u0026 fertility benefits\n Time off to relax and recharge through our paid holidays, firmwide extended holidays, flexible PTO and personal sick time\n Professional development stipend\n Wellness/fitness benefits\n Healthy lunches provided daily","salary_min":140000,"salary_max":210000,"location":"San Mateo, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["embeddings","healthcare","agents","generative-ai","data-pipeline","data-engineering"],"apply_url":"https://job-boards.greenhouse.io/verkada/jobs/5139539007","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-05-16T00:13:28Z","expires_at":"2026-08-14T14:11:46.286508Z","created_at":"2026-05-16T14:10:01.242564Z","updated_at":"2026-07-15T14:11:46.411853Z","company_name":"Verkada","company_slug":"verkada","company_logo_url":"https://www.google.com/s2/favicons?domain=verkada.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/56169506-5603-4cc9-8a02-2c4a36957dba"},{"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":["distributed-systems","autonomous-vehicles","data-pipeline","pytorch","tensorflow","deep-learning","cloud","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":"2026-08-14T14:07:43.956091Z","created_at":"2026-04-13T09:41:54.316786Z","updated_at":"2026-07-15T14:07:44.080751Z","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-science","data-engineering"],"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":"2026-08-14T14:00:18.95741Z","created_at":"2026-05-10T14:00:12.031668Z","updated_at":"2026-07-15T14:00:19.084832Z","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":"7095df5b-4417-413d-9fa0-e6bdbaa5bd88","company_id":"5fac52d7-9b0b-4990-80a2-e2949dd0af1d","title":"Staff Data Engineer, Cloud Optimization","slug":"staff-software-engineer-cloud-finops-63f527a6","description":"Attentive® is the AI marketing platform for 1:1 personalization redefining the way brands and people connect. We’re the only marketing platform that combines powerful technology with human expertise to build authentic customer relationships. By unifying SMS, RCS, email, and push notifications, our AI-powered personalization engine delivers bespoke experiences that drive performance, revenue, and loyalty through real-time behavioral insights.\n  \n Recognized as the #1 provider in SMS Marketing by G2, Attentive partners with more than 8,000 customers across 70+ industries. Leading global brands like Crate and Barrel, Urban Outfitters, and Carter’s work with us to enable billions of interactions that power tens of billions in revenue for our customers.\n  \n With a distributed global workforce and employee hubs in New York City, San Francisco, London, and Sydney, Attentive’s team has been consistently recognized for its performance and culture. We’re proud to be included in  Deloitte’s Fast 500  (four years running!),  LinkedIn’s Top Startups ,  Forbes’ Cloud 100 (five years running!),  Inc.’s Best Workplaces , and the  Human Rights Campaign Foundation's Corporate Equality Index !\n About the Role \n Our Platform Infrastructure team is the backbone of everything we do at Attentive, providing a resilient and cost-effective platform that seamlessly handles billions of events from over 100 million customers daily. We own everything from compute, persistence, and networking to observability and deployments. Joining our team offers a high-growth career opportunity to collaborate with some of the world’s most talented engineers in a high-performance, high-impact culture.\n As a Staff Engineer in Cloud Optimization, you will have the opportunity to work across all of the engineering teams at Attentive, focusing on implementing and driving cost optimizations across our Software Stack. You will collaborate and work with engineers, product managers and our finance team. Your work will drive millions of cost savings, provide enhanced visibility and improve our cost model.\n What You’ll Accomplish \n \n Spearhead FinOps initiatives to increase cost transparency and optimize resource utilization across teams\n Provide guidance and mentorship to engineers on cost-optimization best practices\n Collaborate with teams across the organization to implement cost-saving measures\n Analyze, troubleshoot, coordinate, and resolve complex infrastructure issues\n Proactively lead infrastructure initiatives that have a company-wide impact\n Partner with engineering teams to influence cost-effective architectural and design choices\n Develop automation workflows to enhance team productivity and efficiency\n Foster a culture of continuous improvement by encouraging innovative thinking and challenging established norms\n \n Your Expertise \n \n 2+ years of experience in FinOps or cloud cost management\n 5+ years of experience in cloud infrastructure management, development or related roles\n Strong analytical and problem-solving skills with a keen attention to detail\n Excellent communication and leadership abilities\n You have development experience working with data warehouse tools like Snowflake, Clickhouse, Trino, etc \n You’ve experience with open source data storage formats such as Apache Iceberg, Parquet, Arrow, or Hudi\n You are knowledgeable about data modeling, data access, and data replication techniques, such as CDC. \n Ability to work collaboratively in a cross-functional team environment\n Proven experience as a Software Engineer with a focus on high throughput scalable systems.\n In-depth knowledge of high throughput processing technologies such as Spark, Flink, and/or Kafka. \n Proficiency in Java and strong understanding of object-oriented design, data structures, algorithms, and optimization.\n \n What We Use \n \n Our backend is Java / Kotlin / Spring Boot microservices, built with Gradle, coupled with things like DynamoDB, Aurora, AirFlow, Postgres, and Redis, hosted via AWS\n Our infrastructure runs primarily in Kubernetes hosted in AWS’s EKS, using tooling like Istio, Datadog, Terraform, CloudFlare, and Helm\n Our frontend is built with React and TypeScript, and uses best practices like GraphQL, Storybook, Radix UI, Vite, esbuild, and Playwright\n Our automation is driven by custom and open source machine learning models, industry-leading LLMs, lots of data and tech like Python, Metaflow, HuggingFace, PyTorch, TensorFlow, and Pandas\n \n You'll get competitive  perks and benefits , from health \u0026 wellness to equity, to help you bring your best self to work.\n For US based applicants: \n \n \n The US base salary range for this full-time position is $180,000 - $240,000 annually + equity + benefits\n Our salary ranges are determined by role, level and location\n \n #LI-HB1 \n By applying for this position, your data will be processed as per Attentive's Privacy Policy . \n Attentive Company Values \n Default to Action - Move swiftly","salary_min":180000,"salary_max":240000,"location":"United States","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"lead","tags":["tensorflow","api-design","microservices","data-pipeline","cloud","llm","pytorch","data-engineering"],"apply_url":"https://job-boards.greenhouse.io/attentive/jobs/4120604009","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-02-12T03:13:22Z","expires_at":"2026-08-14T14:21:24.681786Z","created_at":"2026-04-17T04:55:20.639904Z","updated_at":"2026-07-15T14:21:24.797887Z","company_name":"Attentive","company_slug":"attentive","company_logo_url":"https://www.google.com/s2/favicons?domain=attentive.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/7095df5b-4417-413d-9fa0-e6bdbaa5bd88"},{"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 — $259,440 USD \n Region B:\n $169,200 — $233,496 USD \n Region C:\n $159,800 — $220,524 USD \n Moloco Thrive: Benefits a","salary_min":159800,"salary_max":220524,"location":"Menlo Park, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["data-pipeline","distributed-systems","data-engineering","platform"],"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":"2026-08-14T14:17:25.724457Z","created_at":"2026-04-22T15:53:15.596111Z","updated_at":"2026-07-15T14:17:25.823405Z","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","data-pipeline","agents","generative-ai","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":"2026-08-14T14:16:12.831179Z","created_at":"2026-04-16T15:55:47.380084Z","updated_at":"2026-07-15T14:16:12.925989Z","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"},{"id":"176dc5a9-2f72-4ae8-8fce-7461368ef485","company_id":"a0000000-0000-0000-0000-000000000001","title":"Data Engineer","slug":"analytics-data-engineer-8e32d185","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, you will be an early member of the Data Science \u0026 Analytics team building the foundation to scale analytics across our organization. You will collaborate with key stakeholders in Engineering, Product, GTM and other areas to build scalable solutions to transform data into key metrics reporting and insights. You will be responsible for ensuring teams have access to reliable, accurate metrics that can scale with our company’s growth. You will also lead your own projects to enable self-serve insights to help teams make data-driven decisions. \n Responsibilities :\n \n Understand the data needs of stakeholder teams in terms of key data models and reporting, and translate that into technical requirements\n Define, build and manage key data pipelines in dbt that transform raw logs into canonical datasets\n Establish high data integrity standards and SLAs to ensure timely, accurate delivery of data\n Develop insightful and reliable dashboards to track performance of core metrics that will deliver insights to the whole company\n Build foundational data products, dashboards and tools to enable self-serve analytics to scale across the company\n Influence the future roadmap of Product and GTM teams from a data systems perspective\n Become an expert in our organization’s data models and the company's data architecture\n \n You might be a good fit if you have: \n \n 5+ years of experience as a Data Engineer or similar Data Science \u0026 Analytics roles, preferably partnering with GTM and Product leads to build and report on key company-wide metrics.\n A passion for the company's mission of building helpful, honest, and harmless AI.\n Expertise in building multi-step ETL jobs, building robust data models through tooling like dbt; proficiency with workflow management platforms like Airflow and version control management tools through GitHub.\n Expertise in SQL and Python to transform data into accurate, clean data models.\n Experience building data reporting and dashboarding in visualization tools like Hex to serve multiple cross-functional teams.\n A bias for action and urgency, not letting perfect be the enemy of the effective.\n A “full-stack mindset”, not hesitating to do what it takes to solve a problem end-to-end, even if it requires going outside the original job description.\n Experience building an Analytics Data Engineering (or similar) function at start-ups. \n A strong disposition to thrive in ambiguity, taking initiative to create clarity and forward progress.\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 imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from o","salary_min":320000,"salary_max":405000,"location":"San Francisco, CA","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["alignment","data-pipeline","data-engineering","data-science"],"apply_url":"https://job-boards.greenhouse.io/anthropic/jobs/4956672008","is_featured":false,"is_sticky":false,"status":"active","published_at":"2025-10-17T18:13:10Z","expires_at":"2026-08-14T14:00:18.875489Z","created_at":"2026-05-10T14:00:11.950413Z","updated_at":"2026-07-15T14:00:19.008861Z","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/176dc5a9-2f72-4ae8-8fce-7461368ef485"},{"id":"f8682c7a-87d1-455b-9b14-7bf04986597a","company_id":"e09c6869-c06f-4a6b-bf08-dd5cd3138ee1","title":"Backend Engineer, Growth and Data","slug":"backend-engineer-growth-and-data-47a43546","description":"ABOUT HEBBIA\n\nThe AI platform for investors and bankers that generates alpha and drives upside.\n\nFounded in 2020 by George Sivulka and backed by Peter Thiel and Andreessen Horowitz, Hebbia powers investment decisions for BlackRock https://www.blackrock.com/us/individual/about-us/about-blackrock?cid=ppc:blk_us:corpaffairs_us_br_reputationmediamanagement_na_exact_ol:google:brand_nonprod:ol\u0026gclsrc=aw.ds\u0026gad_source=1\u0026gad_campaignid=21584717446\u0026gbraid=0AAAAACc6WDFbRb5bgB6zxVFLE_7yIy25I\u0026gclid=CjwKCAiA9aPKBhBhEiwAyz82J2uDlcIPVsy0fhSZMS_rp_OsGerYzYFPFfLo4TlN8K4eCHWzPfvysRoC7oQQAvD_BwE, KKR https://www.kkr.com/, Carlyle https://www.carlyle.com/, Centerview https://www.centerviewpartners.com/, and 40% of the world’s largest asset managers. Our flagship product, Matrix, delivers industry-leading accuracy, speed, and transparency in AI-driven analysis. It is trusted to help manage over $30 trillion in assets globally.\n\nWe deliver the intelligence that gives finance professionals a definitive edge. Our AI uncovers signals no human could see, surfaces hidden opportunities, and accelerates decisions with unmatched speed and conviction. We do not just streamline workflows. We transform how capital is deployed, how risk is managed, and how value is created across markets.\n\nHebbia is not a tool. Hebbia is the competitive advantage that drives performance, alpha, and market leadership.\n\n\n\n\nTHE TEAM\n\nThe Growth and Data team at Hebbia is the engine that fuels the entire AI platform with the data it needs to reason and retrieve. We’re responsible for sourcing, indexing, and enriching content from every corner of the knowledge universe — spanning private enterprise data, public data, and third-party platforms — and delivering it seamlessly to power user workflows and agentic research.\n\nWe build robust integrations with platforms like Snowflake, S3, SharePoint, Dropbox, and beyond, enabling organizations to securely unify their data ecosystems. From discovery and search to retrieval-augmented deep research within chat matrix frameworks, the data we deliver quite literally powers every part of the AI platform.\n\n\n\n\nTHE ROLE\n\nAs a Backend Software Engineer on Hebbia’s Growth and Data team, you will build and maintain the powerful backend systems that drive user engagement and fuel Hebbia's continued expansion. Your role involves architecting and implementing robust APIs, services, and infrastructure that empower customers with tailored, high-value experiences—such as personalized data views, streamlined management tools, and powerful integrations that uniquely amplify the value of Hebbia. Collaborating closely with product teams, designers, and frontend engineers, you'll take ownership of core backend features from initial design through deployment, ensuring scalability, reliability, and performance. Your technical expertise, strategic thinking, and proactive problem-solving will directly impact customer success, unlocking innovative solutions that accelerate adoption and growth of Hebbia’s platform.\n\n\n\n\nRESPONSIBILITIES\n\n 1. Own critical system components: Take complex requirements and turn them into robust, scaled solutions that solve real customer needs.\n\n 2. Unlock O(1) universal indexing: Build and iterate on our high-scale document build system that enables constant time latency for indexing any content in the world, regardless of data volume.\n\n 3. Drive performance optimization: Architect and implement performance-tuning solutions to ensure our systems operate efficiently at scale, minimizing latency and maximizing throughput across millions of documents.\n\n 4. Mentor and guide: Provide technical leadership, mentorship, and guidance to junior engineers, fostering a culture of learning and growth.\n\n\n\n\nWHO YOU ARE\n\n - Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field. A strong academic background with coursework in data structures, algorithms, and software development is preferred.\n\n - 5+ years software development experience at a venture-backed startup or top technology firm, with a focus on backend software engineering.\n\n - Proficiency in building backend and API systems using technologies such as Python, Java, or Go.\n\n - Extensive experience with cloud platforms (e.g., AWS)\n\n - Working experience with one or more of the following: Kafka, ElasticSearch, PostgreSQL, and/or Redis \n\n - Ability to analyze complex problems, propose innovative solutions, and effectively communicate technical concepts to both technical and non-technical stakeholders.\n\n - Proven experience in leading software development projects and collaborating with cross-functional teams. Strong interpersonal and communication skills to foster a collaborative and inclusive work environment.\n\n - Enthusiasm for continuous learning and professional growth. A passion for exploring new technologies, frameworks, and software development methodologies.\n\n - Embraces rapid prototyping with an emphasis on user fee","salary_min":160000,"salary_max":300000,"location":"New York, NY","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["search","rag","llm","agents","backend","data-engineering"],"apply_url":"https://jobs.ashbyhq.com/hebbia-ai/1710a563-14df-45c5-a6b1-a62adcdead89/application","is_featured":false,"is_sticky":false,"status":"active","published_at":"2025-07-09T22:17:06.975Z","expires_at":"2026-08-14T14:06:58.653405Z","created_at":"2026-04-13T09:40:59.242443Z","updated_at":"2026-07-15T14:06:58.809727Z","company_name":"Hebbia","company_slug":"hebbia","company_logo_url":"https://www.google.com/s2/favicons?domain=hebbia.ai\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/f8682c7a-87d1-455b-9b14-7bf04986597a"},{"id":"97441040-c542-4b27-9b90-33067e17d2d4","company_id":"386fe9d9-0b35-4d37-bdcf-c61d636cf918","title":"Senior Data Engineer","slug":"senior-data-engineer-c2a23312","description":"About EliseAI\n\nAt EliseAI, we're improving the industries that matter most: housing and healthcare. Everyone needs a place to live and access to quality healthcare, yet both are often harder to secure than they should be.\n\nBy integrating AI agents deeply into existing workflows, we make them more efficient, reduce costs, and improve the experience for everyone.\n\n\n\n - Housing: We simplify how renters tour apartments, sign leases, submit maintenance requests, and stay connected with their property team—bringing everything they need for their home into one place.\n\n - Healthcare: We make it easy to schedule appointments, complete intake forms, and we help patients communicate with providers, so everyone can focus on health instead of paperwork.\n   \n   \n\nWith EliseAI, organizations reduce manual work, improve accessibility, and deliver a seamless experience across essential services. We recently raised a $250 million Series E round https://www.eliseai.com/blog/eliseai-raises-250m-series-e led by Andreessen Horowitz to accelerate this mission.\n\n\n\nAbout The Role\n\nAs a Senior Data Engineer, you will be a crucial member of our Engineering team, driving our mission to leverage data as a strategic asset. You’ll work closely with cross-functional teams, including product, operations, and analytics, to build out the data infrastructure that powers our decision-making processes. Your work will directly impact how we develop products, optimize our operations, and deliver value to our customers.\n\n\n\nKey Responsibilities\n\nWe are seeking a skilled and experienced Senior Data Engineer to join our team. The ideal candidate will completely own our data pipeline, playing a crucial role in designing, implementing, and maintaining our data infrastructure and ETL pipelines. In addition, in this role, you’ll lead the engineering team in making sure all code processes produce meaningful data that is stored in a performant manner. This data process is integral in powering client facing reporting as well as informing internal decisions and strategy. \n\n\n\nCore Objectives\n\n - The role involves building and maintaining high-quality data solutions and large-scale data pipelines that process vast amounts of data\n\n - Optimize data flow and collection for cross-functional teams\n\n - Design core data objects and models for the entire company\n\n - Implement and maintain data quality checks and monitoring systems\n\n - Develop client-facing reporting solutions\n\n - Additionally, the position supports data-driven decision-making through the creation of metrics datasets and dashboards\n\n - Engineers will collaborate across teams to optimize and improve data quality while delivering user-centric experiences\n\n\n\nMove at rocket speed, build something massive.\n\nWe’re scaling fast, solving real client problems with precision and ambition. Here, you own your impact; full autonomy, no micromanagement, no fluff. We hire the best, expect the best, and give you the masterclass of your career. It’s hard, it’s intense, and it’s the most rewarding work you’ll ever do. If you’re hungry, driven, and ready to build something massive, climb aboard.\n\n\n\nRequirements\n\nTechnical skills\n\n - 4+ years of professional experience in data engineering\n\n - Programming proficiency in python\n\n - Experience with PostgreSQL or other relational databases\n\n - Proven experience in data modeling and database design\n\n - Experience with ETL design, implementation, and maintenance\n\n - Knowledge of data warehousing solutions, particularly Snowflake\n\n - Understanding of development workflows and best practices\n\nProfessional skills\n\n - Strong problem-solving skills and attention to detail\n\n - Strong communication and collaboration skills\n\n - Ability to work independently and as part of a team\n\n - Excellent organizational and time management skills\n\n - Adaptability to learn and work with new technologies\n\n - Passion for maintaining high data quality standards\n\nPreferred Qualifications\n\n - Experience with data quality management and monitoring tools\n\n - Familiarity with AWS services\n\n - Familiarity with data visualization techniques and tools\n\n - Knowledge of machine learning pipelines and tools\n\n - Experience with real-time data streaming platforms\n\n - Familiarity with DBT, Airflow\n\nMindset\n\n - Entrepreneurial and ambitious; gritty, ‘roll-up-your sleeves’ attitude\n\n - Hardworking\n\n - Action-orientated with the ability to influence others\n\n - Self-starter mentality, yet a team player with a collaborative approach \n\n - Ego-free\n\n - Direct and clear communicator\n\n - Willingness to work in person at our office 4-5 days a week\n\n\n\nWhy join\n\nGrowth and impact. It’s not often that you can get in on the ground floor of a funded (unicorn! https://www.eliseai.com/blog/eliseai-raises-250m-series-e) startup that’s scaling so fast. That means that instead of following a playbook, you’ll be writing it. Every single day you will be challenged to identify how we can scale and execute on","salary_min":240000,"salary_max":300000,"location":"New York, NY","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["healthcare","data-pipeline","cloud","agents","data-engineering"],"apply_url":"https://jobs.ashbyhq.com/eliseai/59d7a2a6-cb05-456f-bde7-5337f1d88589/application","is_featured":false,"is_sticky":false,"status":"active","published_at":"2025-06-20T22:55:20.126Z","expires_at":"2026-08-14T14:20:31.038106Z","created_at":"2026-04-17T02:26:11.424316Z","updated_at":"2026-07-15T14:20:31.132481Z","company_name":"EliseAI","company_slug":"eliseai","company_logo_url":"https://www.google.com/s2/favicons?domain=eliseai.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/97441040-c542-4b27-9b90-33067e17d2d4"},{"id":"1547eec7-3eee-4dd5-a84d-aabde5c3293c","company_id":"6ea0f41a-b13e-481a-b410-5195f391f939","title":"Senior Data Engineer","slug":"senior-data-engineer-746a79b0","description":"About the Role \n Together AI is looking for a Senior Data Engineer to help define, build, and operate the data infrastructure that handles millions of events every day to power Together’s mission-critical systems. As a Senior Data Engineer, you will work with our Data and Commerce engineering team to scale the data processing components of Together’s usage-based billing system, real-time customer-facing analytics product, and internal business intelligence tools. You will work across both cloud-native services and globally distributed data centers.\n If you thrive in fast-paced environments and have a passion for defining and building early-stage data platforms for a rapidly scaling and data-intensive company, this is for you.\n Requirements \n \n 5+ years of demonstrated experience in building large scale, fault tolerant, distributed data platforms, stream processing pipelines, ETLs, etc\n Expert-level skills in designing, building, and operating stream processing pipelines with services like AWS Kinesis, Apache Kafka, or Redpanda\n Expert-level knowledge of building real-time customer facing analytics systems using services like AWS TimeStream or Clickhouse\n Proficiency in writing and maintaining Infrastructure as Code (IaC) using tools like Terraform, AWS CDK, or Pulumi\n Proficiency in version control practices and integrating IaC with CI/CD pipelines.\n Proficiency in implementing and managing GitOps workflows with tools such as ArgoCD, Github Actions, TeamCity, or similar\n Proficiency in one or more of Golang, Rust, Python, Java, or TypeScript\n Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or a related technical field, or equivalent practical experience\n Experience with Kubernetes, or containers a plus\n \n Responsibilities \n \n Identify, design, and develop foundational data infrastructure components capable of handling millions or billions of events daily\n Analyze and improve the robustness and scalability of existing data processing infrastructure\n Partner with product teams to understand functional requirements and deliver solutions that meet business needs\n Write clear, well-tested, and maintainable infra-as-code and software for both new and existing systems\n Conduct design and code reviews, create developer documentation, and develop testing strategies for robustness and fault tolerance\n Participate in an on-call rotation to address critical incidents when necessary\n \n About Together AI \n Together AI is a research-driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to significantly lower the cost of modern AI systems by co-designing software, hardware, algorithms, and models. We have contributed to leading open-source research, models, and datasets to advance the frontier of AI, and our team has been behind technological advancement such as FlashAttention, Hyena, FlexGen, and RedPajama. We invite you to join a passionate group of researchers and engineers in our journey in building the next generation AI infrastructure.\n Compensation \n We offer competitive compensation, startup equity, health insurance and other competitive benefits. The US base salary range for this full-time position is: $160,000 - $240,000 + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge.\n Equal Opportunity \n Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.\n Please see our privacy policy at  https://www.together.ai/privacy","salary_min":160000,"salary_max":240000,"location":"San Francisco, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["cloud","data-pipeline","payments","data-engineering"],"apply_url":"https://job-boards.greenhouse.io/togetherai/jobs/4737079007","is_featured":false,"is_sticky":false,"status":"active","published_at":"2025-05-15T19:57:13Z","expires_at":"2026-08-14T14:02:20.135864Z","created_at":"2026-04-13T09:37:38.100914Z","updated_at":"2026-07-15T14:02:20.269079Z","company_name":"Together AI","company_slug":"together-ai","company_logo_url":"https://www.google.com/s2/favicons?domain=together.ai\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/1547eec7-3eee-4dd5-a84d-aabde5c3293c"},{"id":"8e4470ca-1add-44cd-b79e-d530451c603d","company_id":"bce4421e-5b23-4e76-b067-fc8a82064141","title":"Senior Machine Learning Infrastructure Engineer","slug":"senior-machine-learning-infrastructure-engineer-3d2615cd","description":"PlusAI is a Physical AI company pioneering AI-based virtual driver software for factory-built autonomous trucks. 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This role offers unparalleled opportunities—both technically and professionally—for individuals passionate about solving challenging problems using modern cloud-native technologies. Ideal candidates thrive in environments that leverage tools such as Docker containers orchestrated via Kubernetes clusters, seamlessly integrated with state-of-the-art deep learning frameworks like PyTorch or TensorFlow. If you are eager to push the boundaries of what's possible in machine learning infrastructure and contribute to cutting-edge solutions, this position is an excellent fit!\n","salary_min":160000,"salary_max":200000,"location":"San Jose, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["deep-learning","tensorflow","pytorch","gpu","data-engineering","infrastructure","machine-learning"],"apply_url":"https://jobs.lever.co/plus-2/89a2ec90-547f-4ec2-8476-3985353c17d6/apply","is_featured":false,"is_sticky":false,"status":"active","published_at":"2024-07-15T16:49:43.822Z","expires_at":"2026-08-14T14:18:25.194279Z","created_at":"2026-04-16T19:55:22.48017Z","updated_at":"2026-07-15T14:18:25.288971Z","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/8e4470ca-1add-44cd-b79e-d530451c603d"},{"id":"03c5c2d8-c3c3-4dc9-aaee-b1c0d467bca1","company_id":"ac154286-ea56-4ef4-ab48-5ffaa9596888","title":"Staff Mapping Analyst","slug":"staff-mapping-analyst-b1c278f2","description":"The Staff Mapping Analyst is a key contributor to IMO Health’s Mapping team, responsible for leading the creation, support, and maintenance of accurate and compliant administrative code set mappings using IMO Health’s interface terminology. This includes working with code sets such as ICD-10-CM and CPT, as well as contributing to clinical terminology mapping projects. Staff Mapping Analysts support customer inquiries and collaborate across teams to ensure high-quality mapping outcomes. In addition to core responsibilities, individuals in this role demonstrate emerging leadership by actively participating in and leading team discussions, sharing knowledge, and supporting junior colleagues. 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