---
title: 'Research Engineer, AI/ML at Tabs'
canonical: 'https://feeny.ai/job/research-engineer-ai-ml-tabs-new-york-1z768190rv7q'
type: 'job'
last_seen: '2026-10-18'
---

# Research Engineer, AI/ML at Tabs

- **Company:** Tabs
- **Location:** New York, NY
- **Compensation:** $170k–$235k
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-09-29
- **Last confirmed live:** 2026-10-18
- **Apply:** https://jobs.ashbyhq.com/tabs/72be3b7c-9c1a-43c7-8677-dedd9f05ba87

## Job description

Tabs is the AI Operating System for Revenue, built for modern finance and accounting teams. It combines deep revenue and accounting expertise with the agents and applications needed to run revenue work end to end. Tabs understands customer and contract context, applies accounting logic, and executes critical workflows with built in controls, auditability, and human oversight. With Tabs, finance teams can move from manually managing revenue workflows to directing outcomes while the system executes the work.

The Job You’ll work on a fast-moving AI team, owning problems from initial exploration through production.

- Turn messy financial data and ambiguous problems into working AI products, starting with simple baselines and adding complexity only when it earns its keep
- Build evaluations that reflect real user outcomes, then use error analysis, ablations, and production feedback to make the system better
- Make practical tradeoffs across model quality, cost, latency, determinism, reliability, and maintainability
- Partner closely with product and engineering to build AI features that take real work off finance teams’ plates

## What You Bring

- Strong statistical and machine learning fundamentals, with good judgment about when the answer is classical ML, an LLM, agents, or something in between
- Experience shipping ML or AI systems end-to-end, from data and evaluation through production
- Comfort making progress with noisy data, weak labels, incomplete specifications, and imperfect supervision
- Experience across several of: classical ML, embeddings, retrieval and reranking, similarity search, model evaluation, LLM applications, and agentic systems
- Strong Python skills and the ability to contribute to production software; TypeScript or modern web application experience is a plus

## Experience and education

We welcome a range of backgrounds. Successful candidates will typically have one of the following:

- 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 relevant industry or applied research experience
- A relevant PhD; doctoral research counts as relevant experience, with 3 years of substantive doctoral research considered equivalent to the experience above
- Equivalent practical experience demonstrated through shipped systems, independent research, open-source work, or another nontraditional path

## How We Work

We’re a small team, so everyone has a hand in deciding what to build and making it work in the real world.

- We ship, learn from real usage, and iterate
- We make assumptions explicit, follow the evidence, and communicate tradeoffs clearly
- We stick with hard problems and welcome better ideas, regardless of where they come from
- We help where the team needs us, even when it falls outside our immediate scope
- We collaborate closely in person five days a week

No one gets extra points for making the solution more complicated than the problem. Even if you don’t meet every qualification, we encourage you to apply. We care most about curiosity, craft, judgment, and drive.

## Perks and Benefits (Full-time Employees)

- Competitive compensation and equity
- Unlimited PTO
- Up to 100% employer covered monthly healthcare premium (medical, dental, vision)
- Lunch provided via Sharebite, plus dinner for any later in office days.
- Parental leave up to 12 weeks
- Tax free commuter and parking benefits
- Voluntary insurances (Life, Hospital, Critical Illness, Accident)
- Employee Assistance Program (Rightway)
- Free One Medical Membership
- 401k

Tabs is an equal opportunity employer. We welcome teammates of all identities and do not discriminate on the basis of race, ethnicity, religion, gender identity, sexual orientation, age, disability, veteran status, or any other protected characteristic. We’re committed to creating an environment where everyone can grow, contribute, and feel comfortable being themselves.

## About Tabs

## Core Business
- **Primary industry/industries**: Revenue automation / Financial technology (FinTech) for B2B companies.
- **Target customers**: B2B finance and accounting teams at scaling companies (mid-market to enterprise).
- **Mission or purpose statement**: “Build the modern revenue stack” – replacing outdated finance systems with an AI-native platform that turns contracts into action, eliminates errors, and powers finance with speed and accuracy. [tabs.com/about](https://www.tabs.com/about)

## Products & Services
- **Billing**: Auto-generate invoices for usage-based, recurring, and hybrid billing models.
- **Contracts**: Every contract billed perfectly, every time, with automated interpretation.
- **Collections**: Accelerate cash flow without chasing payments (AI-driven AR automation).
- **Revenue Recognition**: Automate ASC 606-compliant RevRec.
- **Reporting**: Real-time revenue reporting you can trust.
- **Agents**: AI purpose-built for finance and accounting tasks.
- **API**: Developer-friendly APIs to extend Tabs, connect systems, and embed billing into products.
- **Integrations**: Works with QuickBooks, HubSpot, and other common business tools.

All products are SaaS delivered via the Tabs platform. [tabs.com](https://www.tabs.com/)

## Market Standing
- **Valuation/Market Cap**: Not publicly disclosed.
- **Key Metric**: Total funding of **$92M** (as of October 2025).
- **Notable Investors/Partners**:
  - Lightspeed Venture Partners (led Series B)
  - General Catalyst (led Series A)
  - Primary Venture Partners (led Pre-Seed)
  - Strategic partnership with CFGI (January 2025)
- **Growth Signals**:
  - Headcount grew **141.9% YoY** to 151 employees (LinkedIn).
  - Raised **$55M Series B** in October 2025.
  - Operates in 5 countries (US, Ukraine, South Africa, Canada, Albania).
  - Claims results such as “5x less time spent on AR” and “scaled billing output 8x” for customers. [tabs.com/about](https://www.tabs.com/about)

## Competitive Advantages
- **AI-native platform**: Purpose-built for finance and accounting, not a generic ERP add-on.
- **Full revenue workflow**: Contracts → Billing → Collections → RevRec → Reporting in one place.
- **Fast implementation**: “Live in weeks, not quarters” with a dedicated team.
- **Enterprise-grade security**: SOC 2 compliant, encryption, audit-ready controls.
- **Deep integrations**: Works with existing stacks (QuickBooks, HubSpot, etc.) and offers a robust API.

## Strategic Focus
- Continue expanding the AI-powered revenue automation platform.
- Grow headcount and sales teams (25 active job postings as of mid-2026).
- Deepen partnerships (e.g., CFGI) and enter new verticals within B2B finance.
- Maintain a customer-centric, fast-moving culture while scaling.

## Why Work Here
- **Culture**: “Fast-moving, thoughtful team built around ownership, impact, and solving problems that matter.” Values include “respect the domain”, “build the best vision”, “grow from discomfort”, “innovate in-person”, and “do what you say”. [tabs.com/careers](https://www.tabs.com/careers)
- **Work policy**: On-site/hybrid in New York City (HQ at 233 Spring St). Some roles are listed as on-site.
- **Perks**:
  - Fully paid health insurance (medical, dental, vision)
  - Unlimited PTO (no guilt trips)
  - Generous parental leave
  - 401(k) plan
  - Commuter benefits (tax-free)
  - Free lunch and dinner in the office
- **Engineering culture**: Strong emphasis on ownership, curiosity, and collaboration. Purpose-built AI and API-first approach appeal to engineers interested in fintech and AI.

## Sources
1. [tabs.com](https://www.tabs.com/) – Company product overview
2. [tabs.com/careers](https://www.tabs.com/careers) – Careers page with culture and perks
3. [tabs.com/about](https://www.tabs.com/about) – About page with mission, team, and results
4. [jobs.ashbyhq.com/Tabs](https://jobs.ashbyhq.com/Tabs) – Active job listings
5. [linkedin.com/company/teamtabs](https://www.linkedin.com/company/teamtabs) – LinkedIn company page with funding, headcount, and financial details

## Other roles at Tabs

- [Staff Infrastructure Engineer](https://feeny.ai/job/staff-infrastructure-engineer-tabs-new-york-4cn347md1c54) — New York, NY
- [Senior Product Manager, Usage & Pricing](https://feeny.ai/job/senior-product-manager-usage-pricing-tabs-new-york-g8kk4dscpdkw) — New York, NY
- [Senior Product Manager, Revenue](https://feeny.ai/job/senior-product-manager-revenue-tabs-new-york-qmd55jsth1qv) — New York, NY
- [Forward Deployed Engineer](https://feeny.ai/job/forward-deployed-engineer-tabs-new-york-sxjyz473anh9) — New York, NY
- [Talent Acquisition Operations (TalentOps)](https://feeny.ai/job/talent-acquisition-operations-talentops-tabs-new-york-3bq4h1ss3m97) — New York, NY
- [Implementation Manager](https://feeny.ai/job/implementation-manager-tabs-new-york-bqa40cb9c5wp) — New York, NY
- [Product Specialist, Netsuite](https://feeny.ai/job/product-specialist-netsuite-tabs-new-york-1nbsfk6a6ged) — New York, NY
- [Senior Software Engineer, Platform](https://feeny.ai/job/senior-software-engineer-platform-tabs-new-york-kwksr7pt0jd5) — New York, NY
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- [Sr. Growth Marketing Manager](https://feeny.ai/job/sr-growth-marketing-manager-tabs-new-york-mg1sghtrtygr) — New York, NY