↳Proven product management experience: you've owned a product or product area end to end, from discovery to launch to iteration, ideally in an enterprise or technical B2B context.
↳Hands-on with AI-based development: comfortable using AI coding/prototyping tools (e.g., Claude Code, Cursor, Copilot, or similar) and scripting (Python) to build and test ideas yourself rather than only writing specs for others.
↳Background or exposure to consumer electronics, automotive, turbomachinery, aerospace, semiconductor manufacturing.
↳Familiarity with engineering software used in CAD/CAE/PLM workflows (e.g., SolidWorks, NX, ANSYS Mechanical, Abaqus, Teamcenter, or similar).
↳Exposure to end-to-end engineering design processes: requirements, concept, modeling and simulation, validation, release.
↳Strong discovery and customer empathy skills: you can run a great customer interview, synthesize signal from noise, and translate it into a coherent product narrative.
↳Pragmatic, impact-first problem solver: comfortable making tradeoffs, willing to challenge assumptions, and focused on outcomes over process.
↳Comfortable operating cross-functionally with engineering, data science, and customer-facing teams, and able to influence without direct authority.
↳Clear written and verbal communicator, able to align stakeholders across technical and business audiences.
