Responsibilities
- Ship full-stack AI features end to end — from scoping with stakeholders to deploying agentic systems that solve real problems for buyers and sellers
- Own 0-to-1 projects, collaborating with sales & operations teams to identify high-leverage opportunities and build intelligent capabilities
- Build and improve agentic infrastructure that supports production-level inference, evaluation, and monitoring
- Work across the stack to integrate AI seamlessly into the marketplace, creating clean interfaces that make intelligent features feel native to the product
- Develop tools and systems that scale — from intelligent matching to document understanding and agentic workflows that transform our marketplace
Requirements
- Shipped and owned production AI systems end-to-end (LLM and/or classic ML) — real users, measurable outcomes, operational responsibility
- Strong software engineering fundamentals with excellent Python skills and experience integrating foundation models in production
- A track record of shipping — you’ve taken ambiguous problems from concept → production and can point to impact
- Strong product sense — you can be your own product manager when needed, translating business needs into technical solutions without waiting for a spec
- Comfort in ambiguity — you thrive with limited structure and turn uncertainty into clarity
Nice to Have
- Experience with modern AI frameworks and building multi-step agentic systems with tool use, planning, and human-in-the-loop patterns
- Experience designing evaluation suites for LLM systems (offline + online), including rubric-based and model-graded evals
- Experience operating LLM systems at scale—latency, cost, caching, fallbacks, rate limits, reliability
- Familiarity with retrieval quality work—chunking, reranking, query rewriting, relevance tuning
- Marketplace, platform, fintech, or small business background with understanding of matching algorithms or business transactions
- Familiarity with Go, GraphQL, or React/TypeScript
- Background in NLP, information retrieval, or recommendation systems
Benefits
- Market-competitive pay
- Equity
- Fully-covered health benefit options
- Flexible time off
- Commuter perks
- In-office snacks
- Employer contribution for all healthcare options
- 401k plan / short-term disability
- Four weeks of paid time off, generous sick leave, and six weeks of flexible Work From Anywhere days
- On-demand mental health support from Spill
- Laptop of your choice
- Parental leave program
Work Arrangement
On-site — New York City
Why join us
- Rapid momentum — We’re gaining traction quickly & our valuation tools, off‑market listings, and streamlined closing processes are changing how small business deals happen at scale.
- Ownership from day one — As a small, lean team, every hire carries outsized impact; from shaping product direction to building a culture of customer-first execution.
- In-person energy & collaboration — Based in NYC, we foster a tight-knit, energetic team environment where voice matters and decisions move fast.
- Mission with heart — We’re clearing the path for small business owners to take meaningful steps forward by providing them clarity, speed, and confidence when it matters most.
- World-class investors & runway for impact — Backed by Obvious, Giant Ventures, Divergent, Trust Fund, Burst Capital, Bloomberg Beta, and others, our Series A sets a deliberate course for growth and meaningful scale.
- Competitive compensation & perks — Expect market‑competitive pay, equity, fully-covered health benefit options, flexible time off, commuter perks, in-office snacks, and a true culture of low ego and high respect.
The Baton Way
- AI has unlocked a step change in what’s possible in this market — and in how Baton operates.
- Our goal isn’t to bolt AI onto existing workflows or launch a chatbot; it’s to re-architect how the product works, how internal operations run, and how value compounds across the platform.
- Engineers here use AI as a force multiplier in their own work and in what they ship — and we take the craft of production AI seriously.
How we build AI at Baton
- We build agentic systems that handle real customer interactions and business workflows end-to-end.
- Expect to work across the full loop — from problem framing → data → evals → iteration → deployment → monitoring → continuous improvement; grounded in measurable outcomes (quality, latency, cost, reliability).
- We care about shipping quickly and building systems that hold up in the real world.
- We build in person in NYC because this work moves faster and gets better when the team is in the room together.
- We value low ego, high respect, direct communication, and real ownership.
Why Baton
- Mission-driven work: empowering entrepreneurs and shaping the future of small business transitions.
- A collaborative, data-driven, and growth-oriented culture.
- An opportunity to make a significant impact at an early stage in our journey.
Help us create the next great asset for everyone
- We believe that democratizing access to small business ownership with reliable data and tools for buying and selling businesses will reshape the economy.
- At Baton, we’re building the AI-native platform that makes small business transitions transparent, fast, and fair as we support the millions of baby boomers who have poured their life into their small business.
- We’re already the largest marketplace in the space with nearly 100 closed transactions & thousands of listings in front of tens of thousands of active buyers on the platform.
Additional Information
- Backed by Obvious, Giant Ventures, Divergent, Trust Fund, Burst Capital, Bloomberg Beta, and others
- Series A funding to scale the vision
- Building in person in New York City
- Low ego, high respect culture
- Direct communication and fast decision-making
- True culture of low ego and high respect