Senior Product Manager, AI

Kettle

• $120K — $150K *
US-AnywhereRemote in United States
Enterprise Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5-7 years of product management experience in agency, startup, or product environments, specifically with AI-powered features
  • Proficient in PM fundamentals: requirements definition, roadmap contribution, sprint planning, and documentation
  • Hands-on experience with AI tools, including prototyping and API integration
  • Deep understanding of the generative AI landscape and its potential applications
  • Experience in hybrid work contexts, effectively communicating with both internal teams and clients
  • Strong communication skills for translating technical concepts to clients and vice versa

Responsibilities

  • Lead product management workstreams to shape and drive AI projects
  • Prototype and experiment with AI tools to validate ideas and concepts
  • Collaborate closely with creative technologists and product designers as a peer contributor
  • Translate technical developments into understandable concepts for clients
  • Manage backlog and sprint cadence for AI tool projects, ensuring progress without over-complication
  • Adapt engagement strategies for both internal experiments and structured client deliveries

Benefits

  • Collaborative work environment with cross-functional teams
  • Opportunities for hands-on experimentation and prototyping
  • Engagement with cutting-edge AI technologies
  • Support for professional growth and skill development
  • Flexible communication styles to suit various project contexts
Full Job Description
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.

Similar Jobs

More Jobs at Kettle

More Enterprise Technology Jobs

Find similar Senior Product Manager, AI jobs: