Algolia
AI Search
VP,AI-NativeOps&Automation,R&D
Neural analysis suggests this role is
optimal for Director candidates.
“VP, AI-Native Ops & Automation, R&D at Algolia. Skills: AI-Native Ops, Automation, R&D Transformation, Operating Models. Lead R&D Operating Model Transformation. Analyze product development lifecycle”
What You'll Achieve.
Improve development velocity; Improve quality; Improve reliability; Improve execution consistency; Deliver measurable operational outcomes; Continuously surface delivery risks; Continuously surface quality issues; Continuously surface prioritization opportunities; Continuously surface operational insights; Achieve high-velocity, continuously optimized R&D organization; Achieve enterprise scale; Achieve rapid innovation
Industry & Context.
Problem-solving capability; Perseverance capability
What They're Looking For.
Must Have
15+ years of experience in Product Operations, Engineering Operations, Technical Program Leadership, or enterprise transformation roles, Deep understanding of modern software development lifecycles, Deep understanding of developer tooling ecosystems, Deep understanding of platform engineering, Deep understanding of 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, Experience in AI infrastructure, Experience in platform engineering, Experience in enterprise technology environments, Familiarity with AI-assisted software development tooling, Familiarity with autonomous workflows, Familiarity with engineering intelligence systems, Experience scaling globally distributed engineering organizations, Exposure to governance frameworks, Exposure to reliability frameworks, Exposure to operational excellence frameworks in complex technical organizations
What You'll Do.
Lead R&D Operating Model Transformation
Analyze product development lifecycle
Redesign product development lifecycle
Identify coordination overhead
Identify tooling gaps
Identify workflow inefficiencies
AI-native operating models
Improve development velocity
Improve execution consistency
Apply AI across engineering telemetry
Apply AI across CI/CD systems
Apply AI across product usage data
Apply AI across incidents
Apply AI across retrospectives
Apply AI across customer feedback
Develop systems for delivery risks
Develop systems for quality issues
Develop systems for prioritization opportunities
Develop systems for operational insights
Partner with infrastructure teams
Partner with platform teams
Partner with developer tooling teams
Embed AI into engineering workflows
Embed automation into engineering workflows
Build transformation roadmap
Execute transformation roadmap
Drive adoption of AI-assisted workflows
Drive adoption of automated reporting
Drive adoption of intelligent execution systems
Establish governance models for AI usage
Establish governance models for workflow instrumentation
Establish governance models for data integrity
Establish governance models for system reliability
Define KPI frameworks
Measure automation impact
Measure AI adoption impact
Institutionalize repeatable methodologies
How You'll Work.
Team & Collaboration
Influence skills across executive stakeholders; Influence skills across technical stakeholders; Influence skills across operational stakeholders; Partner with infrastructure, platform, and developer tooling teams; Collaborate with Product, Engineering, AI Research, and Platform teams
Communication Scope
Exceptional communication skills
Process & Methodology
Technical Program Leadership, Enterprise transformation
Full Job Description
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 teleme
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