Product Engineer
About the job
- You have a track record of shipping real product in ambiguous, fast-moving environments.
- You have approximately 3 or more years of experience building and shipping production web products.
- You are a strong full-stack engineer with excellent React, Next.js, and TypeScript skills.
- You have solid backend engineering judgment, including designing database schemas and system architecture and understanding their tradeoffs.
- You have strong technical communication skills, including turning ambiguity into clear plans, explaining tradeoffs to non-engineers, communicating with high signal, and driving alignment proactively.
- You have sound product and user experience judgment and can decide what is worth building.
- Own a product surface end-to-end rather than working from a ticket queue.
- Turn rough ideas into shipped, measured features.
- Build full-stack products from front to back using React, Next.js, TypeScript, and Python.
- Make product decisions without waiting for a product manager.
- Ship quickly and iterate based on real usage.
- Scope fuzzy product goals into testable, instrumented features and measure their impact.
- Break down ambiguous work, sequence it, and drive it to production.
- Collaborate closely with research, engineering, and founders building world models and embodied artificial intelligence systems.
- Use artificial-intelligence-native engineering tools such as Claude Code and Codex to ship faster.
- Extensive experience building and shipping agent- or large-language-model-powered product features.
- Founding or zero-to-one engineering experience, or entrepreneurial experience.
- Experience with physics artificial intelligence, simulation, and robotics stacks such as Isaac Sim and MuJoCo.
- Experience with three-dimensional asset workflows using Blender or other world-building or asset-building tools.
About the company
Embedding VC is an early-stage venture fund that backs Generative AI startups. It provides seed to early-stage capital and operational guidance, leveraging a team of current and former builders and operators who can help portfolio companies grow. The fund’s approach centers on working closely with founders and using hands-on experience to scale AI projects, including those aiming toward AGI, during a period described as a new computing super cycle driven by AI innovations. Unlike funds that rely mainly on financial leverage, Embedding VC differentiates itself through its deep operator network, practical support, and focus on and commitment to building capable, scalable AI businesses. The overall goal is to support ambitious AI founders to advance the development and deployment of AI technologies and capture value in the expanding AI ecosystem.
Company Size
11-50
Company Stage
N/A
Total Funding
N/A
Headquarters
Menlo Park, California
Founded
2023
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Simplify's Take
What believers are saying
- Embedding VC's July 2026 site update confirms active positioning in Menlo Park.
- Roger Luo reports over forty startup investments, including three IPOs and nine exits.
- The fund claims portfolio support wins, including AppViewX integration and Bessemer placements.
What critics are saying
- Portfolio concentration in frontier AI ties returns to a crowded, winner-take-most market.
- No recent public fundraising or new flagship exits reduces evidence of momentum.
- Founder-led branding around Roger Luo creates key-person risk if he steps back.
What makes Embedding VC unique
- Roger Luo markets Embedding VC as an operator-led Generative AI fund.
- The firm targets pre-seed and seed AI founders, not broad venture.
- It emphasizes hands-on startup building through its Founder-in-Residence program.
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