Revenue Operations Lead

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.

Responsibilities

• 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.

Qualifications

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

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

Pay

Compensation Range: $130K - $150K