About the company
Our client is an artificial intelligence software company.
The role
Raydar is recruiting for this role on behalf of our client. Join as an early engineer covering both backend infrastructure and user-facing features. The role combines system design, product decisions and, when needed, direct conversations with customers.
What you'll do
- Build and improve core infrastructure and user-facing product features.
- Design systems for long-running processes, personalization and internal tools.
- Make product and design choices that improve the user experience.
- Join customer conversations when needed to explain features and recommended practices.
- Work closely with leadership to keep shipping product improvements quickly.
Requirements
What we're looking for
- Strong background in infrastructure engineering.
- Full-stack experience across product and platform layers.
- Skill in weighing architecture options and explaining trade-offs clearly.
- Product sense for user-facing software.
- Proven history of shipping dependable production software at notable scale.
- Able to discuss past projects in technical depth.
- One to seven years of professional experience.
Bonus points
- Sensitivity to interface quality and careful, precise execution.
- Founder experience or participation in a founder fellowship.
- Experience at a strong engineering organization.
- Standout results in academic contests or strategy-based play.
- Willingness to take part in client discussions that support setup and troubleshooting.
Benefits
Compensation and benefits
- Base salary: $150,000 to $300,000
- Equity
- Medical, dental and vision coverage
- 401(k) retirement plan
- Flexible time off
Location and work model
- San Francisco, CA, United States
- On-site (in office)
- Full-time
Similar Jobs
What you need to know about the San Francisco Tech Scene
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

