VP, AI-Native Ops & Automation, R&D
full-time
lead
Posted 5 days ago
About this role
At Algolia, we’re proud to be a pioneer and market leader in AI Search, empowering 17,000+ businesses to deliver blazing-fast, predictive search and browse experiences at internet scale. Every week, we power over 30 billion search requests — four times more than Microsoft Bing, Yahoo, Baidu, Yandex, and DuckDuckGo combined.
In 2021, we raised $150 million in Series D funding, quadrupling our valuation to $2.25 billion. This strong foundation enables us to keep investing in our market-leading platform and serving incredible customers like Under Armour, PetSmart, Stripe, Gymshark, and Walgreens.
To support this next phase of growth, this is a new individual contributor executive role responsible for transforming how Product, Engineering, AI Research, and Platform teams operate. Reporting directly to the CEO, the VP, AI-Native Ops & Automation, R&D will define and scale the operating system for how Algolia builds, ships, instruments, and continuously improves products and platforms across the company.
This role goes beyond traditional Product Operations or Engineering Operations leadership. The mandate is to embed AI deeply into software development workflows, engineering coordination, prioritization systems, operational instrumentation, and organizational decision-making, enabling a high-velocity, continuously optimized R&D organization built for enterprise scale and rapid innovation.
YOUR ROLE WILL CONSIST OF:
Lead R&D Operating Model Transformation
Analyze and redesign the full product development lifecycle across planning, prioritization, development, deployment, and release management
Identify bottlenecks, coordination overhead, tooling gaps, and workflow inefficiencies across Product, Engineering, AI Research, and Platform teams
Define scalable, AI-native operating models that improve development velocity, quality, reliability, and execution consistency
Build AI-Augmented Engineering & Product Intelligence
Apply AI and advanced analytics across engineering telemetry, CI/CD systems, product usage data, incidents, retrospectives, and customer feedback
Develop systems that continuously surface delivery risks, quality issues, prioritization opportunities, and operational insights
Partner with infrastructure, platform, and developer tooling teams to embed AI and automation deeply into engineering workflows
Drive Transformation Execution, Adoption & Governance
Build and execute a multi-quarter roadmap for R&D operational transformation
Drive adoption of AI-assisted workflows, automated reporting, and intelligent execution systems across Product and Engineering leadership
Establish governance models for AI usage, workflow instrumentation, data integrity, and system reliability
Establish Performance Measurement & Operational Excellence
Define KPI frameworks across cycle time, deployment frequency, reliability, productivity, and engineering efficiency
Measure the impact of automation and AI adoption across development workflows
Institutionalize repeatable methodologies for AI-enabled product development and engineering operations
YOU MIGHT BE A FIT IF YOU HAVE:
Strong systems thinking and a passion for optimizing complex engineering and product organizations
Exceptional communication and influence skills across executive, technical, and operational stakeholders
15+ years of experience in Product Operations, Engineering Operations, Technical Program Leadership, or enterprise transformation roles
Deep understanding of modern software development lifecycles, developer tooling ecosystems, platform engineering, and AI/ML-enabled workflows
Demonstrated success leading large-scale engineering or product transformation initiatives with measurable operational outcomes
NICE TO HAVE
Experience in high-scale SaaS, AI infrastructure, platform engineering, or enterprise technology environments
Familiarity with AI-assisted software development tooling, autonomous workflows, and engineering intelligence systems
Experience scaling globally distributed engineering organizations
Exposure to governance, reliability, and operational excellence frameworks in complex technical organizations
WE’RE LOOKING FOR SOMEONE WHO CAN LIVE OUR VALUES:
GRIT - Problem-solving and perseverance capability in an ever-changing and growing environment
TRUST - Willingness to trust our co-workers and to take ownership
CANDOR - Ability to receive and give constructive feedback
CARE - Genuine care about other team members, our clients, and the decisions we make as a company
HUMILITY - Aptitude for learning from others and putting ego aside
#LI-Remote
FLEXIBLE WORKPLACE STRATEGY:
Algolia’s flexible workplace model is designed to empower all Algolians to fulfill our mission to power search and discovery with ease. We place an emphasis on an individual’s impact, contribution, and output, over their physical location. Algolia is a high-trust environment and many of our team
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