Senior Product Manager, Agentic Search
Tavily is hiring a Senior Product Manager, Agentic Search in Tel Aviv, Israel. Level rates it ; you can apply on Tavily.
Level's read on this job
- On Level's scale, this AI product manager role is Works on AI ●●●○: the daily work is on AI products, without building the model.
- Some of the work can be done remotely, according to the posting.
- The posting mentions API, AI agents and NLP among its tools and skills.
- Level classes it as a senior role.
- Tavily has 12 other open roles on Level.
AI in this role
Lead product strategy and execution for agentic search and retrieval infrastructure powering AI agents and LLM-based apps.
The role
We are looking for a Senior Product Manager to join our Agentic Search team, building the search and retrieval infrastructure that powers AI agents and LLM-based applications at scale.
This is a hands-on IC role with real ownership. You will take full end-to-end responsibility over a core product area, from defining strategy through shipping and iterating based on real usage data. You will work within a small PM team reporting to the Director of Product, alongside engineering, design, and go-to-market, shaping how AI agents discover, retrieve, and act on web information in real time.
The product serves both a developer-facing PLG motion and a growing enterprise customer base, so you will need to be equally comfortable digging into API design and search quality as you are running customer discovery calls and informing competitive positioning. We are looking for someone who can operate as a senior strategic partner, not just an executor, and who has the potential to grow into a principal-level PM over time.
You’re welcome to work hybrid from Tel Aviv, Israel.
Your responsibilities will include:
- Own a core product area end-to-end: strategy, roadmap, execution, and iteration based on real usage signals and customer feedback.
- Drive search quality and relevance improvements by working closely with engineering and research to define evaluation frameworks, benchmarks, and release criteria.
- Engage directly with enterprise customers and developer users to validate ideas, understand pain points, and shape product-market fit across both PLG and enterprise motions.
- Monitor the competitive landscape in agentic search and AI-powered retrieval, identifying shifts, threats, and opportunities that should inform product decisions.
- Collaborate with go-to-market teams (sales, solutions, growth) to ensure product positioning, ICP definitions, and enablement materials reflect product reality.
- Contribute to product strategy as a senior voice on a small, high-impact team, challenging assumptions and bringing independent judgment to key decisions.
- Lead product experiments and rapid iteration cycles, moving from hypothesis to prototype to production with clear success criteria.
We expect you to have:
- 5+ years of product management experience, with a meaningful portion in developer tools, API platforms, or search and retrieval infrastructure.
- Track record of shipping products in fast-moving markets, working closely with engineering and design from concept through launch and iteration.
- Strong understanding of LLMs, AI agents, and how search and retrieval systems fit into agentic workflows. Hands-on technical background is a strong plus.
- Degree in computer science, engineering, or a related field, with the ability to engage deeply with technical architecture and tradeoffs.
- Comfortable operating in ambiguity: you can context-switch between strategic thinking and tactical execution without losing the thread.
- Proven ability to influence cross-functional stakeholders and drive alignment without formal authority.
- Excellent written and verbal communication: you can explain technical concepts clearly to both engineers and business stakeholders.
It will be an added bonus if you have:
- Experience in search, information retrieval, NLP, or adjacent domains.
- Background in API-first or developer-platform businesses with both PLG and enterprise motions.
- Leadership experience in a high-growth technology company, especially post-acquisition or startup-within-a-larger-org environments.
- People management or mentoring experience (building the skills of other PMs).
How we rate this
Senior Product Manager, Agentic Search at Tavily rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in AI product manager jobs at this level
Pay
- Typical AI product manager job
- $180k
This posting doesn't list pay. Use the typical AI product manager figure when pay comes up. See AI product manager jobs
Questions you could be asked
- How do you decide when an AI agent can act on its own versus asking for approval first?
- What NLP problem have you worked on, and how did you measure whether it actually worked?
- Tell me about a project where product management was part of your work. What did you do?
- Tell me about a project where search infrastructure was part of your work. What did you do?
- Tell me about a project where agentic search was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: AI agents, NLP, Product Management, Search Infrastructure, and Agentic Search. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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