Senior Product Engineer

Senior Product Engineer - AI / Data

New York (Flatiron/NoMad) | $170,000-$215,000 + 0.1-0.3% equity | 4 days onsite

The opportunity

Launchpad are working with an exciting, early-stage technology business building AI-powered infrastructure for the insurance industry . The business is solving a genuinely difficult problem: insurance data is fragmented, inconsistent and notoriously difficult to access. Its platform makes it possible for businesses to securely access, understand and process insurance data through a universal API - replacing slow, manual processes with technology.

The platform is already trusted by major organisations including Hertz, Avis, Audi, Rocket Mortgage, Sixt and Experian , with revenue growing 5x this year . Following a $17.5m Series A , the business is expanding its engineering team in New York and is looking for two Senior Product Engineers . This is a high-ownership role for someone who wants to work on complex technical problems, build new systems from scratch and have a genuine influence on product and engineering decisions.

What you'll be working on

You'll work across backend engineering, data infrastructure and applied AI, including:

• Building evaluation systems for insurance data extractors and transformers
• Designing and orchestrating self-healing AI agents that improve their performance over time
• Building systems that bring context and intelligence to highly variable insurance data
• Designing scalable data pipelines and orchestration across multiple data sources
• Working with APIs, distributed systems, data extraction, validation and transformation
• Making architectural and technical design decisions across the product
• Taking projects from 0→1 and owning them through to production
• Helping mentor more junior engineers as the team continues to grow

What they're looking for

You don't need to tick every box, but you'll ideally have:

• 3+ years' experience building production software in data-rich environments
• Strong backend engineering experience, alongside full-stack capability
• Experience building complex products involving data pipelines, APIs or data aggregation
• Experience with distributed systems, data extraction, validation or transformation
• Strong Python and/or TypeScript experience
• Experience working with APIs and production-scale data systems
• Exposure to Applied AI, LLMs, agentic workflows, AI orchestration, evals or guardrails
• Experience working in a startup or similarly high-ownership environment

The person

This role will suit an engineer who enjoys figuring things out rather than waiting to be told what to do .

You'll be comfortable taking an ambiguous problem, breaking it down, making sensible technical decisions and owning the outcome.

You'll enjoy:

• High levels of autonomy
• Ambiguous and technically challenging problems
• Building new products and systems from scratch
• Working closely with a small, highly capable engineering team
• Having a direct impact on product and architecture

Experience within fintech, data aggregation, healthtech or other data-intensive products would be particularly relevant.

Tech Stack

Python | TypeScript | APIs | AI/ML | LLMs | Agentic Workflows | Data Pipelines | AWS

Why join?

• $17.5m Series A backed by leading venture investors and angels
• Revenue has grown 5x this year
• Mid 7-figure ARR with 160%+ Net Dollar Retention and clear product-market fit
• Product already used by major Fortune 500 businesses including Rocket Mortgage, Hertz, Avis, Sixt and Experian
• Opportunity to solve a genuinely difficult and valuable data problem
• Significant exposure to applied AI and agentic systems
• Small engineering team where individual contribution has real impact
• $170k-$215k base salary
• 0.1-0.3% equity
• Full benefits
• Unlimited PTO

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