Senior Product Manager, AI
At a glance
Senior Product Management role at Kettle. Remote, United States · full-time · $120,000–$150,000 base.
remoteroles summary, based on the employer's posting.
What you'll do
- Turn open-ended briefs or new AI capabilities into defined workstreams with priorities and next steps
- Shape requirements, roadmap input, sprint plans and priorities, keeping documentation clear enough for team alignment
- Prototype ideas, test model capabilities and explore AI APIs to check what works before work becomes a project
- Run backlogs and sprint rhythms for AI tools, adapting between internal experiments and client delivery
- Explain technical work to clients and turn their needs into concrete direction for creative technologists and designers
What you bring
- Product management experience in an agency, startup or product setting, with contributions to AI features, tools or workflows
- Hands-on AI prototyping, including functional demos, API prompting and chaining, or tests of new model capabilities
- A working grasp of generative AI and judgment about which capabilities merit building
- Clear communication with clients and technical teams, including translating between stakeholder needs and build plans
Who this fits
This suits a senior, hands-on product manager who can contribute as a peer alongside creative technologists and product designers, not only coordinate their work. You’ll move between internal experiments and client projects, adjusting how you communicate for each. The role is remote in the US.
From the employer
Kettle designs digital products with soul, for some of the most ambitious consumer brands in the world. Our work lives at the intersection of product thinking and brand storytelling; products that are just as considered in feeling as they are in function.
We are looking for a Senior Product Manager, AI to join our Product team. This is a builder role. You'll work on a cross-functional team of creative technologists and product designers, working on the tools, workflows, and accelerators that expand what Kettle and our clients can make. You'll contribute to both sides of that work: owning the PM workstreams that give these projects shape and momentum, and getting hands-on when the work calls for it, whether that's vibe coding a prototype, testing a new model capability, or helping a client team understand what's possible.
Candidates should have:
- Experience in product management in an agency, startup, or product environment, with a track record of contributing to AI-powered features, tools, or workflow systems
- The ability to own PM fundamentals on fast-moving workstreams: requirements definition, roadmap contribution, sprint planning, prioritization, and clear documentation that keeps a team aligned
- Hands-on experience building or prototyping with AI tools, whether vibe coding functional demos, prompting and chaining AI APIs, or rapidly exploring new model capabilities to stress-test an idea before it becomes a project
- Fluency across the generative AI landscape, with a strong instinct for what's newly possible and what's worth building
- Experience working in hybrid contexts, contributing to both internal and client project tooling, and adapting your communication style accordingly
- Strong communication skills: you can represent a technical workstream clearly to a client, and translate a client need into a concrete build direction for a technical team
Nice to have:
- Experience working alongside or within a cross-functional product team, including creative technology and engineering partners
- Experience contributing to AI-focused client conversations or discovery work, helping translate emerging capabilities into something a client team can understand and react to
We’d like to know that you can:
- You are able to articulate a clear path forward in an ambiguous space, turning an open-ended brief or emerging capability into a defined workstream with clear priorities and next steps
- Get hands-on with prototyping and experimentation, contributing to the work itself rather than just coordinating it
- Partner closely with creative technologists and product designers, operating as a peer contributor
- Bring the client along: translating what the team is building into something a stakeholder can understand, react to, and build on
- Manage the backlog and sprint cadence on AI tool workstreams, keeping momentum without over-engineering the process
- Adapt across engagement types, from rapid internal experiments to more structured client delivery
The target range of base compensation for this role is $120,000–$150,000. Actual compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, and location.
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