# Technical Product Manager > Raydar · San Francisco, United States · Full-time · Posted 2026-10-01 **Salary:** USD 150,000–240,000 **Workplace:** on_site ## Description About the company Our client is a fast-growing technology company. The role Raydar is recruiting for this role on behalf of our client. Own research-driven projects from initial scoping through recurring delivery, partnering with outside research collaborators to define goals and turn loosely defined requests into concrete plans. Blend hands-on technical work, experimentation and cross-functional coordination to deliver results on short project cycles. What you'll do \- Work with external researchers to identify capability gaps and define priority areas for improvement. \- Run experiments and benchmarks with internal tooling and open-source frameworks to assess model performance. \- Turn ambiguous partner requests into clear research questions and organize internal teams around tight deadlines. \- Design and manage data curation workflows, coordinating outside domain experts or partnering with engineers on automated data generation. \- Review current research literature and apply the findings to practical datasets and evaluation approaches. \- Own each project end to end, from scoping to regular deliveries, and iterate quickly on feedback over cycles of one to three months. \- Explain technical findings to non-technical colleagues and translate user pain points into evaluation and training work. ## Requirements What we're looking for \- Up to five years of background in machine learning research or a technical product role. \- Hands-on exposure to model training, post-training or evaluation work. \- Solid grasp of reinforcement learning, large language model design and what models can and cannot do. \- Ability to read research papers and turn their ideas into working practice. \- Experience converting customer needs into technical plans and execution. \- Comfort using AI coding assistants in daily work, with a history of taking technical initiatives from idea to completion. \- Bachelor's or master's degree in computer science, machine learning or a quantitative field; a PhD in a related research area is a plus. \- Comfort with ambiguity, a resourceful mindset and a strong sense of ownership in an early-stage environment. \- Ability to work on-site five days per week. Bonus points \- Founder experience. \- Experience at an AI data company or a leading AI research lab. ## Benefits Compensation and benefits \- Base salary: USD 150,000 to 240,000 per year \- Equity Location and work model \- San Francisco, CA, United States \- On-site, 5 days per week \- Full-time ## Apply [Apply at Raydar](https://apply.workable.com/raydar/j/C881F0C9AB/apply) --- Powered by [Workable](https://www.workable.com)