Senior Product Manager, AI Assist
Listed on 2025-11-13
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IT/Tech
AI Engineer, Product Designer, Data Analyst, Product Engineer
At Algolia, we’re proud to be a pioneer and market leader in AI Search, empowering 17,000+ businesses to deliver blazing-fast, predictive search and browse experiences at internet scale. Every week, we power over 30 billion search requests — four times more than Microsoft Bing, Yahoo, Baidu, Yandex, and Duck Duck Go combined.
In 2021, we raised $150 million in Series D funding, quadrupling our valuation to $2.25 billion. This strong foundation enables us to keep investing in our market-leading platform and serving incredible customers like Under Armour, Pet Smart, Stripe, Gymshark, and Walgreens.
Algolia helps businesses and developers understand their online users and show them exactly what they need. As a leader in AI search and discovery, we power over 1.8 trillion searches a year – four times more than Microsoft Bing, Yahoo, Baidu, Yandex and Duck Duck Go combined – for more than 17,000 customers from 100+ countries.
The MissionYour product mission is to assist Algolia’s business users with proactive suggestions, smart tools and automation capabilities to optimize their search and discovery curation strategies and reduce their workload. You will build a deep understanding of the needs and workflows of Algolia’s business users - e.g. merchandisers, content editors or marketers - and equip them with assistive, AI-driven tools to automate and optimize their efforts.
The OpportunityAs a Senior Product Manager at Algolia, you will be at the forefront of driving product strategy and execution. This role is critical in shaping our product offerings to meet market demands and exceed our customers' expectations. You will collaborate with cross‑functional departments to deliver impactful results and contribute to the overall success of the organisation.
What you'll be doing:- Drive product discovery to understand and define who for, why and what we’re building to deliver on the mission.
- Formulate, agree and communicate the strategy, vision, and roadmap with all key stakeholders.
- Whether it’s mocking up concepts, writing functional specs or drafting a copy - you’ll do whatever it takes to push your product throughout the end‑to‑end lifecycle, in collaboration with engineers, designers, other product managers and cross‑functional collaborators.
- Shape agile processes and foster cross‑functional team dynamics to deliver delightful, powerful products that exceed customer expectations and drive tangible business outcomes.
- Build and nurture an agile and innovative product culture within the team, founded on the importance of continuous, rapid prototyping and learning.
- Use analytical and quantitative skills to understand usage, inform prioritization and report on progress.
- Understand the evolving competitive landscape and identify potential strategic partnerships for complementary product offerings.
- Collaborate with cross‑functional partners (legal, marketing, sales, customer success) to successfully launch products, drive adoption, and optimise customer retention.
- Proven experience in building and launching AI‑driven products, ideally generative AI or automation solutions that support business users’ workflows.
- B2B SaaS experience.
- Deep user empathy, ability to collaborate with product design to build best‑in‑class user experiences.
- Data‑driven/informed, with a strong ability to leverage analytics to measure product success, prioritise features, and refine strategies based on customer insights.
- Proven track record in shipping and iterating on products within an agile software development environment.
- Strong cross‑functional leadership and collaboration skills with engineering, design, product marketing, GTM sales, and customer support to help launch new products and support existing ones.
- Ability to understand technical or complex business problems, craft effective strategies to tackle them, and present simple solutions to our customers.
- Outstanding written and verbal communication skills.
- Expertise in search & recommendations engines, hands‑on experience with AI/ML technologies.
- Technical background, applied to industry and business problems.
- Proven experience in…
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