About the company
Our client is a technology company.
The role
Raydar is recruiting for this role on behalf of our client. Join as the first engineering hire and take ownership of core platform systems that run in real time. You will build data infrastructure, experimentation tooling and automated operational systems, working closely with the founders and shipping changes quickly.
What you'll do
- Build and own core platform services and the data infrastructure behind real-time transaction operations.
- Turn manual, session-based model research into continuously running automated pipelines.
- Create experimentation frameworks for testing pricing logic.
- Optimize the throughput of high-volume transaction systems.
- Build automated operational tooling for issue triage, failure response and model drift detection.
Requirements
What we're looking for
- 3 to 10 years of professional engineering experience.
- Background in platform engineering.
- Hands-on track record building and running production systems that handle large volumes of data, with Python a plus.
- Strong data intuition and the ability to reason clearly from data.
- A working style that is deeply AI-forward in day-to-day development.
- A track record of rapid career progression.
- Experience at strong technology companies, whether successful smaller firms tackling hard problems or larger firms with strong engineering organizations.
- Comfort taking risks and being wrong.
- Strong opinions and a demonstrated willingness to push back and challenge decisions.
Bonus points
- A passion for live events such as concerts or sports.
- A computer science degree from a well-regarded university.
Benefits
Compensation and benefits
- Base salary: USD 200,000 to 400,000 per year
- Equity
Location and work model
- New York, NY, United States
- On-site, 5 days per week in office
- Full-time
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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
