Revenue Operations Analyst

About Actively AI

Our thesis is that businesses of the future will be powered by agentic human-in-loop-machines that make every business function 10x more efficient. Actively AI is building that superintelligent machine for Enterprise GTM organizations, focused on increasing productivity per rep. We power the day-to-day for outbound teams at dozens of companies like Samsara, Ramp, Verkada, and Ironclad. Why does this matter? Because revenue is the ultimate fuel for businesses.

The hundreds of millions of dollars we generate for our customers enables them to employ more people, innovate faster, and deliver more value to their customers. In addition to top-notch customers that love our product, our team is incredibly high caliber - the co-founders are former Stanford AI researchers and the engineering team comes from Harvard, CMU, Berkeley, Brex, Scale AI, and Google.

We re also backed by top investors, including Bain Capital Ventures, First Round Capital, Lachy Groom, and Stanford AI faculty. We have a very ambitious product and scaling roadmap, there’s strong market interest in what we are doing, and it’s time to put the foot on the gas. If you get excited by the thought of working really hard on these kinds of problems with a high caliber team, then Actively AI is the right place for you.

We are looking for a Revenue Operations Analyst who is passionate about turning data into decisions, improving revenue performance, and helping a fast-growing GTM team win. You will play a central role in how we plan, execute, measure and scale revenue across Sales, SDR, Marketing and Account Management. You will collaborate closely with Leadership, AEs, SDRs and AMs – and your work will be visible at the highest levels.

This role is ideal for someone who:

• Owns outcomes, not tasks
• Demonstrates relentless accountability
• Gains energy from enabling teammates to win
• Thrives by elevating others, not by being the hero
• Obsessed with scaling decision-making

You will have the opportunity to shape the operating system of a high-growth AI company and help build the next generation of AI-native Rev Ops.

Revenue Optimization

• Monitor and improve pipeline health and velocity
• Support segmentation, territory design and account prioritization
• Provide insight into win rates, cycle time, conversion and coverage
• Run GTM experiments and share learnings with leadership
• Identify patterns, bottlenecks and opportunities across the funnel

Process & Execution

• Participate in breaking down the end-to-end funnel
• Standardize and improve SDR → AE → AM handoffs
• Support adoption of proven GTM playbooks
• Translate insights into simple processes that drive execution
• Help teams eliminate friction and improve speed of work

Reporting & Forecasting

• Build and maintain real-time dashboards and reports through Salesforce, Sigma / Big Query
• Layer rep, segment and top-down forecasts
• Conduct variance, trending and cohort analysis
• Translate data into clear narratives that inform decisions
• Help leadership know where to focus next

Who You Are

• 2–5 years in Revenue Operations, Strategy & Operations, Consulting or related analytical role
• Demonstrated process thinking and structured problem solving
• Strong analytical and reporting skills - Able to distill complex data into actionable insights for non-technical stakeholders
• Advanced spreadsheet skills;
  Comfort with SQL and dashboards
• Experience with GTM systems such as Salesforce, Outreach, Gong, Chili Piper, Big Query / Sigma or equivalent
• Enjoy understanding how revenue is created and scaled
• Communicate clearly and professionally
• Are comfortable with ambiguity and rapid change

Nice to Haves

• Familiarity with AI tools, automation platforms or copilots to improve productivity
• Experience with B2B SaaS business models, core metrics and sales motions, ideally in an early stage company or high-growth environment
• Comfort with building dashboards, data models and analytical views that help teams make faster and more informed decisions

It’s not often that you can get in on the ground floor of a well-funded startup that’s scaling very fast. That means that instead of following a playbook, you’ll be writing it. Every single…