remoteonsite
Associate Product Manager - MyAdvice
Product Manager
We're looking for a Product Manager focused on defining product vision and driving roadmap execution. This manager role requires 2+ years of relevant experience.
About the role
- Clear communication: We keep our thinking, decisions, and requirements well-structured and easy to follow across product, engineering, and stakeholders.
- Purposeful scope: We align early on a clear MVP and treat new ideas as deliberate next steps, so your work stays focused and actually ships.
- Real ownership: You carry initiatives across the full lifecycle and are recognized for the outcomes and adoption they drive.
- Building in the open: Prototypes and early check-ins keep stakeholders close, so feedback shapes the work well before launch.
- Close to the customer: Real client conversations and honest data guide what we build.
- AI at the core: We build AI-powered products and we build with AI, from agentic workflows to evaluations, and we keep pace with a fast-moving field.
- Own the full product lifecycle for your area: discovery, definition, delivery, launch, and adoption. You will start with our client onboarding and website-building experience, and grow into our reputation and social products as you ramp.
- Speak regularly with our US-based clients (Voice of Customer): run interviews and conversations, and turn what you hear, alongside usage and adoption data, into product decisions.
- Write clear, testable user stories and acceptance criteria, and shape and prioritize the backlog.
- Own the user experience: UI, data, and front and back-end interactions.
- Lock the MVP and hold scope. Changes after lock become new, prioritized work, not silent scope creep.
- Build working prototypes with AI tools, then hand a precise spec to engineering (engineering owns high-level design and architecture).
- Partner closely with AI and full-stack engineers, data, and design; keep stakeholders in the loop early and follow up so nothing goes stale.
- Keep measurement honest and maintain evaluation sets for AI features.
- Own the feedback loop for our internal tools: run a regular pulse with the internal teams who use them and turn what you hear into prioritized product work.
- Drive each iteration and the launch, tracking against user needs and adoption.
- After launch, monitor success metrics through proper dashboards, and use those results to define future enhancements or revisit the work as needed.
- A strong, practical grasp of how modern AI products work: large language models, prompting and context engineering, retrieval (RAG), knowledge graphs, and agents with tool use.
- Evaluations as a first-class habit: you can design and run evals and benchmarks for AI features, and reason clearly about quality, safety, and hallucination.
- AI across your workflow: you use AI for research, prototyping, analysis, and writing, and build working prototypes independently in tools like Cursor, Codex, Claude Code, etc.