About the company
Our client is a fast-growing software company.
The role
Raydar is recruiting for this role on behalf of our client. Act as the senior hands-on engineer for a small, early engineering group, delivering product features while guiding a few teammates. Time is divided between building and technical leadership, with room to grow into broader engineering management as the team expands.
What you'll do
- Deliver product improvements from start to finish as the platform shifts toward a scalable, self-serve experience.
- Make architecture decisions and rework existing systems together with the CTO.
- Apply AI-assisted development tools and tailored workflows to increase delivery speed.
- Lead a small group of engineers through mentorship, sprint planning and, over time, people management.
- Contribute to the machine learning and product roadmap, including longer-term modeling plans.
Requirements
What we're looking for
- At least 5 years in engineering roles, with only a limited stretch in purely managerial work, and still writing production code now.
- Daily hands-on use of AI agents in your own tailored development workflows, and the ability to describe your current setup clearly.
- Prior experience as a founding engineer, tech lead or staff-level individual contributor in a demanding startup, or at a large technology company with clear ownership of a core product.
- A track record of taking a product from idea to launch with little supervision.
- Full-stack skills across modern front-end and back-end work, with greater strength on the back end.
- Solid grounding in applied machine learning, including classical methods, model validation and thoughtful perspectives on large language models.
- A degree in computer science, math, statistics or machine learning from a highly regarded university.
- Willingness to work on-site full-time in New York City, including relocating if needed.
Bonus points
- Time spent at an AI-focused company working on data-intensive products.
- Graduate-level study or research in machine learning or statistics.
Benefits
Compensation and benefits
- Base salary: USD 250,000 to 350,000 per year
- Equity
Location and work model
- New York, NY, United States
- On-site, 5 days per week in office
- Full-time