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Director, Engineering, AI Search

Algolia
AI GovernanceOn-siteFull-timeParis, France

Algolia is hiring for the job of Director, Engineering, AI Search, Paris, France (On-site). This is an AI Governance job in the governance, risk, and compliance field. Review the full details below and apply directly with Algolia.

Organization: AlgoliaLocation: Paris, FranceWorkplace: On-siteFocus: AI GovernancePosted: Oct 9, 2026
Algolia is hiring for this AI Governance job in Paris, one of the metros GRC Careers tracks for governance, risk, and compliance hiring.

Algolia is the retrieval intelligence layer that turns intent into trusted decision-grade outcomes. Powering more than 1.7 trillion queries a year for over 18,000 customers with millisecond latency and 99.999% reliability we are the recognized leader for Search and Product Discovery by top industry analyst firms. The Algolia platform turns a company s products content and business rules into data that humans applications and AI agents can act upon. The result is trusted customer experiences with stronger conversions for measurable business impact. /

About the Team

Algolia’s Engineering team builds the core infrastructure and product features that power real-time search and discovery for thousands of customers around the world. This includes backend services frontend components site reliability and ML-powered capabilities. The team is distributed collaborative and committed to technical excellence and continuous learning.

As an Engineering Director you will lead multiple teams or a critical product area working closely with Engineering Managers Product and Design to deliver scalable reliable and high-impact solutions. You will play a key role in translating company strategy into execution while building strong autonomous teams and fostering engineering excellence.

Your Role Will Consist Of

Leading a strong group of engineering teams (via Engineering Managers and Senior ICs) ensuring alignment with product and company priorities Demonstrates AI leadership within the engineering organization by fostering a culture of strong continuous improvement and proactively evaluating and applying emerging AI technologies to enhance productivity efficiency and organizational performance across the broader technology function. Owning strong delivery execution and operational excellence for a defined product or platform area Partnering closely with Product Design and cross-functional stakeholders to shape roadmaps and ensure successful delivery of customer value Driving strong engineering best practices across system design scalability reliability and performance Being a member of Algolia’s senior technology leadership team with significant contributions to strong engineering excellence and the strong high performance of the global technology organization extending beyond the immediate area of responsibility. Supporting and coaching Engineering Managers helping them grow as leaders and build high-performing teams Contributing to strong organizational planning including headcount team structure and quarterly/annual planning cycles Ensuring a strong culture of strong ownership accountability and continuous improvement within your organization Acting as a strong bridge between strategy and execution translating high-level goals into clear team-level priorities Serves as a trusted advisor to the CTO and SVP Engineering providing strong strategic guidance on engineering leadership organizational effectiveness and cross-functional management initiatives across the technology organization.

You Might Be a Fit If You Have

8–12+ years of engineering experience including strong 3–5+ years managing multiple teams or managing through managers Proven experience delivering strong complex cross-functional projects in a fast-paced high-growth environment technical background with experience in strong distributed systems APIs and scalable infrastructure Demonstrated ability to strong lead through others empowering managers and senior engineers Excellent communication skills with the ability to strong align diverse stakeholders and drive clarity Experience operating in strong distributed or global engineering environments

Nice to Have

Experience in strong developer tools infrastructure or data platforms Familiarity with strong product-led growth (PLG) environments Exposure to AI/ML-powered products or platforms
Algolia does not discriminate on the basis of race color religion sex age national origin military status veteran status disability status sexual orientation gender identity genetic information or any other characteristic protected by law.

The annual base salary compensation range for this role reflects market pay data within this location. The exact compensation offered for this role may vary depending on specific location and job-related knowledge technical skills and experience and is only one part of our Total Rewards philosophy to compensate and recognize employees for their work.

Base Salary Pay Range €115.000 €150.000 EUR

FLEXIBLE WORKPLACE STRATEGY

Algolia’s flexible workplace model is designed to empower all Algolians to fulfill our mission to power search and discovery with ease. We place an emphasis on an individual’s impact contribution and output over their physical location. Algolia is a high-trust environment and many of our team members have the autonomy to choose where they want to work and when.

We have a global presence with offices in Paris NYC London Sydney and Bucharest however we also offer many of our team members the option to work remotely either as fully remote or hybrid-remote employees. Positions listed as Remote are only available for remote work within the specified country. Positions listed within a specific city are only available in that location - depending on the role it may be available with either a hybrid-remote or in-office schedule.

WE’RE LOOKING FOR SOMEONE WHO CAN LIVE OUR VALUES

GRIT - Problem-solving and perseverance capability in an ever-changing and growing environment. TRUST - Willingness to trust our co-workers and to take ownership. CANDOR - Ability to receive and give constructive feedback. CARE - Genuine care about other team members our clients and the decisions we make in the company. HUMILITY - Aptitude for learning from others putting ego aside.

We’re looking for talented passionate people to help build the world’s best search and discovery technology. We value autonomy diversity and collaboration. We’re committed to creating an inclusive workplace where everyone is respected and supported regardless of race age ancestry religion sex gender identity sexual orientation marital status color veteran status disability or socioeconomic background.

IMPORTANT NOTICE FOR CANDIDATES - Recruitment Fraud Notice

We’ve recently seen an increase in recruitment scams targeting job seekers. To help protect yourself please keep the following in mind

Our open positions may appear on third-party job boards but the strong best way to apply safely is directly through our strong careers page. All genuine communication from Algolia will come from an strong @algolia.com email address. If you receive an email from someone claiming to work at Algolia who does not have an @algolia.com email address please do not respond or share any personal information. We’ll strong never ask for payments purchases or financial details during the hiring process.

READY TO APPLY?

If you share our values and our enthusiasm for building the world’s best search discovery technology we’d love to review your application!

Location and market context

This job is based in Paris on-site. Local candidates benefit from being close to Algolia's teams and regional hiring market. Confirm the exact in-office expectation and any relocation support with the employer.

About AI governance jobs

AI governance sits at the intersection of policy, risk, and engineering. Teams are standing up model inventories, use-case intake and review, risk classification, and control monitoring as regulation and board scrutiny of AI intensify. Jobs like this one are typically evaluated against frameworks such as NIST AI RMF, ISO/IEC 42001, the EU AI Act, and internal model-risk and privacy practices.

How to position yourself for this AI governance job

Strong candidates emphasize experience translating policy into operational controls, working across legal, compliance, security, product, and data teams, documenting AI system risks, and supporting governance processes. In your resume and outreach, tie your experience to how Algolia would apply NIST AI RMF, ISO/IEC 42001, the EU AI Act, and internal model-risk and privacy practices, and lead with concrete outcomes rather than duties.

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