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