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Algolia

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VP, AI-Native Ops & Automation – R&D

Artificial IntelligenceArtificial IntelligenceFull TimeRemoteLeadTeam 201-500Since 2012H1B SponsorCompany SiteLinkedIn

Location

United States

Posted

8 days ago

Salary

0

Seniority

Lead

15 yrs expEnglish

Job Description

VP, AI-Native Ops & Automation – R&D

Algolia

• 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 • 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 • 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 • 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

Job Requirements

  • 15+ years of experience in Product Operations, Engineering Operations, Technical Program Leadership, or enterprise transformation roles
  • Strong systems thinking and a passion for optimizing complex engineering and product organizations
  • Exceptional communication and influence skills across executive, technical, and operational stakeholders
  • 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

Benefits

  • Flexible workplace strategy

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