Engineering Lead

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