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Salary
$130k – $150k per year
Location
In office (New York)
Seniority
Staff · 4+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 29, 2026. First seen by Alion on Oct 22, 2026.

Overview
Company
Impact
Profile match
AI Detector for ChatGPT, Gemini & Claude — 99.98% Accurate. Detect AI-generated text in essays, articles & documents. Third-party verified results.

A Note on applying to Pangram:

At Pangram, we firmly believe that genuine human expression, and our ability to communicate with each other online and through the written word, is a fundamental right- and a value worth preserving.

Please don't use AI to answer any of the questions as part of your application - we want to hear from you!

About Pangram Labs

Pangram Labs’ mission is to protect authenticity and preserve human connection in the context of the generative AI era. We build the world’s best AI detection systems. We publish research on state-of-the-art AI detection techniques and algorithms and build products to bring our technology into people's daily lives. We provide tools for individuals, institutions and companies to detect the use of AI in written content.

Pangram is a recognized thought leader in the space of AI detection. Our CEO & Co-founder Max Spero has been named as one of Time Magazine’s 100 Most Influential People in AI and Pangram has been named one of Time’s Best Inventions of 2026.

We are looking for high agency, mission-driven, and passionate builders to join our team!

About the Role

As the Revenue Operations Lead at Pangram Labs, you will be a critical builder of our revenue engine and infrastructure, enabling Pangram to scale to meet the incredible demand we’ve seen for the product You will own our CRM (HubSpot), design scalable workflows, drive rigorous pipeline inspection and forecasting, and build actionable dashboards. You will partner with non-sales teams, like Marketing, Finance and Operations to build out relevant automation, reporting and dashboards as needed.

This is a full-time, on-site role in our Brooklyn office reporting to our VP of Sales.

What You'll Do

  • Own and optimize HubSpot (CRM), analytics tools, and enablement software. Establish workflows, routing logic, and data hygiene standards to keep pipeline and supply status synced

  • Build and maintain robust forecasting rollups, performance dashboards, and other analyses that sales leadership relies on for pipeline management

  • Analyze leading and lagging indicators (conversion metrics, stage velocity, deal size, competitive win rates) to identify bottlenecks and unlock expansion opportunities.

  • Act as the operational connective tissue across Marketing, Sales and Finance to resolve business friction and keep key growth initiatives unblocked.

  • Translate evolving business needs into automated, repeatable workflows that reduce administrative burden for frontline reps and managers, including identifying where AI tools and automations can eliminate manual effort

  • Provide analytical support as needed for Business Reviews, Executive Meetings, Investor Updates and other major presentations as needed.

Qualifications:

You are a strong fit for this role if you have:

  • 4+ years of experience in Revenue Operations, Sales Operations, GTM Strategy, or Business Operations at a high-growth B2B company

  • Deep Hubspot expertise, including experience, including a proven track record of building pipelines and workflows in HubSpot from 0-to-1, including building custom fields, automation workflows, and data hygiene frameworks

  • A strong Analytical skillset and the ability to translate data into narratives and opportunities in the sales pipeline

  • Comfortable operating in rapidly evolving environments; energized by creating clarity, structure, and momentum out of open-ended challenges.

  • Exceptional communication skills with the ability to influence cross-functional leaders and frontline teams without direct authority.

Nice to Have

You are an exceptional candidate if you also have:

  • Experienced working with usage-based, capacity-based, or infrastructure pricing models (cloud, compute, API)

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