Member of Technical Staff - Product Engineer
Valthos · San Francisco, CA · 2 mo ago
On-siteEngineeringFull-time
Qualifications
- Experience designing and building production-quality web applications.
- Strong frontend engineering skills, especially with React, TypeScript, modern CSS, and component-based architecture.
- Strong UX and visual design judgment, with the ability to create clear flows, polished interfaces, and usable interaction patterns.
- Experience working closely with product and engineering teams in fast-moving environments.
- Ability to operate independently, make reasonable tradeoffs, and ship without waiting for perfect specifications.
- Strong communication skills, especially around design rationale, product tradeoffs, and implementation decisions.
- Willingness to work on sensitive, defense-adjacent, and bio-related products with seriousness and discretion.
Qualifications (preferred)
- Strong product taste and the ability to simplify complex workflows without oversimplifying the underlying domain.
- A bias towards action. You can move from rough idea to working prototype to production implementation quickly.
- Comfort with ambiguity, especially in an early-stage company where product direction, customer needs, and technical constraints are still evolving.
- Respect for users operating in serious, mission-driven environments where clarity, reliability, and trust matter.
- Systems thinking across both design and engineering: you care about reusable patterns, maintainable components, and coherent product structure.
- High autonomy: willingness to take a problem and build an end-to-end solution.
- An understanding of how to make software feel polished, modern, and credible without unnecessary ornamentation.
Benefits
The role offers a competitive salary commensurate with experience, along with comprehensive benefits including health insurance, retirement plans, and flexible work arrangements. Valthos provides a dynamic and collaborative environment where you can contribute to groundbreaking advancements in computational biology.