1 month ago
Base Salary
$170k - $235k/yr
Responsibilities
- Turn messy financial data and ambiguous problems into practical AI products, beginning with simple baselines and adding complexity when justified.
- Build evaluations that reflect real user outcomes and improve systems through error analysis, ablations, and production feedback.
- Make tradeoffs among model quality, cost, latency, determinism, reliability, and maintainability.
- Partner with product and engineering to build AI features that automate revenue work for finance teams.
- Own problems from initial exploration through production and contribute to production software.
Requirements
- Strong statistical and machine learning fundamentals, with judgment about when to use classical ML, LLMs, agents, or combinations of these approaches.
- Experience shipping ML or AI systems end to end, from data and evaluation through production.
- Ability to work with noisy data, weak labels, incomplete specifications, and imperfect supervision.
- Experience in several areas including classical ML, embeddings, retrieval and reranking, similarity search, model evaluation, LLM applications, and agentic systems.
- Strong Python skills and ability to contribute to production software.
- A bachelor’s degree in a relevant quantitative field plus 3+ years of relevant industry or applied research experience, a relevant master’s degree plus 1+ year of experience, a relevant PhD, or equivalent practical experience.
- TypeScript or modern web application experience is a plus.
Benefits
- Competitive compensation and equity.
- Unlimited PTO.
- Up to 100% employer-covered monthly medical, dental, and vision premiums.
- Lunch provided through Sharebite, plus dinner for later in-office days.
- Up to 12 weeks of parental leave.
- Tax-free commuter and parking benefits.
- Voluntary life, hospital, critical illness, and accident insurance.
- Employee Assistance Program through Rightway.
- Free One Medical membership.
- 401(k).
- Full-time employees collaborate in person five days a week.
Tech Stack
Categories
About Tabs
Tabs builds an AI-native revenue automation platform for finance and accounting teams at B2B companies, covering contract-to-cash workflows such as billing, collections, payments, revenue recognition, and reporting. Delivered as SaaS, it integrates with tools like NetSuite to generate invoices from contracts and reconcile payments in real time. Founded in 2023 and headquartered in New York, Tabs is privately held and counts customers such as Cursor and Statsig.