Algolia
AI Search
VP,AINativeOps&Automation,R&D
“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
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