Revenue Operations

Posted Yesterday
Be an Early Applicant
Hiring Remotely in United States
Remote
Entry level
Artificial Intelligence • Machine Learning • Consulting
Powering the Enterprise AI Wave
The Role
Own revenue operations as a hands-on team of one, including forecasting, bookings roll-ups, GTM metrics, pipeline hygiene, weekly operating rhythms, sales commissions, deal desk activities, and compensation plans. Build AI-powered GTM tools and automations using Claude, support finance and territory planning, and provide trusted analysis to GTM leadership.
Summary Generated by Built In
About Tribe AI

Tribe AI helps companies build and ship real AI solutions. We bring together a network of top AI practitioners with a delivery team that turns AI strategy into production systems for our clients. Our go-to-market team is growing fast, and we need someone to make our revenue engine run on data, not intuition.

About the Role

We're looking for our first person to own revenue operations. You'll be the only person in the function and work directly with Head of GTM. This is a hands-on role: you'll do the analysis yourself, and your analysis will shape decisions.

What you'll do

Own forecast operations

  • Build and run the forecast and bookings roll-up end to end.

  • Add the judgment on top of the numbers. Flag when a rep is behind, sandbagging or overcommitted, or when a deal is slipping, and raise it before the forecast call rather than in it.

  • Get to one bookings number the whole room trusts.

Build our core GTM metrics and reporting

  • Stand up the metrics we're missing today: time to close, days in stage, loss rate and partner funnel. Partners feed our sales pipeline, so this covers more than direct sales.

  • Refresh them on a regular cadence so that a sales-metrics question gets a real answer the same day.

  • Where the data underneath isn't clean, fix it. Set and enforce stage definitions and pipeline hygiene.

Run the weekly GTM operating rhythm

  • Own prep for the weekly GTM meeting: the data pull, the analysis and choosing which topics need attention.

Own deal desk and commissions

  • Run commissions for 60+ sellers on an ongoing basis.

  • Own our commissions platform (Spiff), which is being implemented now, and the comp plan templates behind it.

  • Administer next year's sales comp plans, covering plan mechanics, accelerators, draws and clawbacks, and partner with GTM leadership on plan design.

Build AI-powered tools for the GTM team

  • Build Claude skills and automations that improve how the GTM team works, such as proposal building and project plans.

  • Build the back-end infrastructure behind our GTM operations with AI, rather than managing it by hand.

Support finance and planning

  • Answer ad-hoc GTM and sales-metrics questions from our strategic finance team, and supply the forecast they use for business planning.

  • Support territory planning and GTM org design as needs come up.

What this role isn't: delivery or project metrics, margins, accounting, or financial planning. Those sit with our delivery and strategic finance teams. You'll be the source of GTM truth that feeds them.

What success looks like in your first 90 days
  • GTM leadership walks into forecast calls having read your analysis instead of building one, and anomalies are flagged in advance.

  • Time to close, days in stage, loss rate and partner funnel exist, refresh on a cadence and are trusted.

  • Commissions run through Spiff, not Excel.

  • Next year's comp plans are drafted and ready to administer.

  • Weekly GTM call prep is fully yours.

What we're looking for

Must-haves

  • You're AI-native. You build real infrastructure with AI (Claude, agents, skills, automations), not just use it to write emails. An engineering background is a strong signal.

  • Experience in Revenue Operations, Sales Operations, GTM Operations or GTM Systems inside a B2B revenue organization. Depth matters more than years: we need someone who understands go-to-market, not a generalist analyst.

  • Hands-on sales commissions experience at scale. You've run comp for a sizable sales team, not just reported on it, and you understand plan mechanics, draws, accelerators and clawbacks.

  • You've built forecasts and pipeline metrics yourself, end to end, often from imperfect data.

  • Strong GTM judgment. You've sat in real pipeline reviews and can explain why a rep's forecast looks wrong, not just that it differs from plan.

  • A real preference for hands-on work. You want to be the person building the analysis, not directing an analyst, and you're comfortable being a team of one.

  • Strong opinions on stage definitions and forecast hygiene, and experience enforcing them with sellers.

Nice-to-haves

  • Experience at a services, consulting or professional-services company. SOW-based bookings behave differently from recurring subscription revenue.

  • Experience implementing or administering a commissions platform (Spiff, CaptivateIQ, Xactly or similar).

  • Deal desk experience: pricing approvals, deal structuring, contract review with sales.

  • Partner or channel funnel analytics.

  • A background in software engineering or Salesforce consulting.

Why join
  • Real impact from day one. You're building the function, not maintaining someone else's.

  • Direct access to leadership. You'll work side by side with the GTM leader, and your analysis drives the conversation.

  • Breadth. Forecasting, analytics, deal desk and comp all sit in one seat, at a company at the center of applied AI.

Skills Required

  • AI-native experience building infrastructure with Claude, agents, skills, or automations
  • Experience in Revenue Operations, Sales Operations, GTM Operations, or GTM Systems within a B2B revenue organization
  • Hands-on sales commissions experience at scale for a sizable sales team
  • Understanding of compensation plan mechanics, draws, accelerators, and clawbacks
  • Experience building forecasts and pipeline metrics end to end from imperfect data
  • Strong go-to-market judgment and experience participating in pipeline reviews
  • Ability and preference to perform hands-on analysis as a team of one
  • Experience defining and enforcing sales-stage definitions and forecast hygiene
  • Experience at a services, consulting, or professional-services company
  • Experience implementing or administering a commissions platform such as Spiff, CaptivateIQ, or Xactly
  • Deal desk experience, including pricing approvals, deal structuring, or contract review with sales
  • Partner or channel funnel analytics experience
  • Background in software engineering or Salesforce consulting
Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
HQ: New York, NY
35 Employees
Year Founded: 2019

What We Do

Founded in 2019, Tribe is an AI-native strategy and services partner dedicated to helping enterprise companies build AI solutions that drive measurable business impact. Tribe has delivered hundreds of successful AI deployments and has assembled one of the most concentrated networks of top AI talent outside of Big Tech. Tribe meets clients wherever they are on their AI journey—from executive education and strategy to use case ideation, proving ROI, hands-on proof of concept development, and scaling from PoC to production. Our flexible model gives companies access to world-class AI talent and expertise to accelerate outcomes with speed, precision, and measurable results.

Gallery

Gallery

Similar Jobs

In-Office or Remote
3 Locations
2653 Employees
1-2 Annually

M-Files Logo M-Files

Operations Specialist

Information Technology • Productivity • Professional Services • Software • Business Intelligence
Remote
United States
500 Employees

Cloudflare Logo Cloudflare

GTM Data Specialist, Consumption & Revenue Operations

Cloud • Information Technology • Security • Software • Cybersecurity
Remote or Hybrid
United States
4400 Employees
120K-190K Annually

Deepgram Logo Deepgram

Operations Analyst

Artificial Intelligence • Machine Learning • Natural Language Processing • Software • Conversational AI
Remote
USA
150 Employees
110K-148K Annually

Similar Companies Hiring

Onshore Thumbnail
Artificial Intelligence • Fintech • Software • Financial Services
New York, New York
60 Employees
Blee Thumbnail
Artificial Intelligence • Marketing Tech • Software
New York, New York
33 Employees
Vega Thumbnail
Artificial Intelligence • Automotive • Insurance • Transportation
US
65 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account