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VP, AI-Native Ops & Automation, R&D

1 week, 6 days ago
United States
Executive
AI (Artificial Intelligence)
Artificial Intelligence and Machine Learning
CI/CD
Apply Now
Algolia

Algolia

Algolia provides a hosted search platform that leverages AI to enhance user experience and developer engagement, enabling enterprises and developers to deliver fast, relevant search results across websites and mobile applications.

Internet Software & Services
251-1K
Founded 2012
$334M raised
View All Jobs 18

Description

  • 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 surface delivery risks, quality issues, prioritization opportunities, and operational insights.
  • Partner with infrastructure, platform, and developer tooling teams to embed AI and automation 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.

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.
  • Experience in high-scale SaaS, AI infrastructure, platform engineering, or enterprise technology environments (nice to have).
  • Familiarity with AI-assisted software development tooling, autonomous workflows, and engineering intelligence systems (nice to have).
  • Experience scaling globally distributed engineering organizations (nice to have).
  • Exposure to governance, reliability, and operational excellence frameworks in complex technical organizations (nice to have).

Benefits

  • Flexible workplace model with remote, hybrid-remote, or in-office options depending on the role and location.
  • High-trust environment with autonomy to choose where and when to work for many roles.
  • Global presence with offices in Paris, NYC, London, Sydney, and Bucharest.
  • Inclusive workplace that emphasizes diversity, collaboration, and respect for all employees.

Interested in this position?

Apply directly on the company website

Apply Now

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