About the company
Our client is a fast-growing software company.
The role
Raydar is recruiting for this role on behalf of our client. Join a small, early engineering group and take ownership of designing and delivering software features across the whole application. You will tackle demanding data problems, contribute to machine learning powered capabilities and speak directly with business users. The position carries genuine influence over technical and product choices.
What you'll do
- Design, build and release application features across both user-facing and server-side layers.
- Work through demanding data challenges involving very large volumes of messy, inconsistent records.
- Help shape product and technical decisions from the earliest stage of the company.
- Talk directly with business customers to understand their needs and turn them into working solutions.
- Contribute to AI and LLM-based capabilities that deliver measurable business value.
Requirements
What we're looking for
- At least 12 months of full-time engineering experience at a well-known technology company or an established startup that has raised external capital.
- A track record of delivering production software, whether your strength leans toward user interfaces or server-side systems.
- Enjoyment in speaking with and supporting business customers.
- Comfort in a young, high-energy, early-stage team focused on building from zero to one.
Bonus points
- Prior experience as a founder or early engineer at a reputable startup.
- Experience delivering complete applications from concept to production.
- Familiarity with modern LLM systems, evaluation methods or frameworks.
- Experience with Python or TypeScript.
Benefits
Compensation and benefits
- Base salary: USD 200,000 to 225,000 per year
- Equity
- Health, dental and vision coverage
- Flexible time off
Location and work model
- San Francisco, CA, United States
- On-site, 5 days per week 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
