Senior Product Manager

Preferred

• Experience working alongside or within a cross-functional product team, including creative technology and engineering partners

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 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.