VP, AI-Native Ops & Automation – R&D

🕒 May 21

🇺🇸 United States – Remote

⏰ Full Time

🔴 Lead

🤖 Artificial Intelligence

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Algolia

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2012

🤖 Artificial Intelligence

☁️ SaaS

🛍️ eCommerce

💰 $150M Series D on 2021-07

Artificial Intelligence • SaaS • eCommerce

Algolia is an innovative company specializing in AI-powered search solutions. Offering a comprehensive suite of tools, including AI Search, AI Browse, and AI Recommendations, Algolia helps businesses enhance their customer experiences through powerful search capabilities. Their platform supports a vast range of integrations such as Shopify, Salesforce Commerce Cloud, and Adobe Commerce, making it easy for businesses to implement and manage custom search functionalities efficiently. Algolia is known for its fast, scalable search engine, capable of handling over 1. 7 trillion queries annually, and provides extensive analytical insights and user interface components tailored for specific customer journeys.

📋 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 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

🎯 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