Revenue Operations Manager

What if the difference between explosive growth and operational chaos is having someone who can turn revenue data into a competitive advantage?

We're the ~50-person team behind Stable Diffusion, Stable Video Diffusion, and FLUX.1—models with 400M+ downloads. But here's the reality: as we scale our commercial operations, we're navigating territory most companies don't face—usage-based pricing for AI models, enterprise deals that didn't exist two years ago, and growth that outpaces our ability to understand it. We need someone who can build the operational infrastructure that turns that complexity into clarity.

What You'll Pioneer

You'll architect the revenue operations backbone for a company scaling faster than traditional playbooks can handle. This isn't about maintaining existing systems—it's about building reporting infrastructure, streamlining processes, and delivering insights that help leadership make better decisions in a market that's evolving in real time.

You'll be the person who:

• Builds and maintains reporting infrastructure for full-funnel analytics—from top of funnel through renewal, expansion, and consumption tracking

• Delivers timely performance, attribution, and forecast reporting that supports executive planning, priority-setting, and board reporting in our high-velocity market

• Transforms how we analyze GTM performance by leading the migration of key reporting data into a BI platform that scales with us

• Uses data to shape account and territory segmentation, helping teams focus on high-value opportunities while maintaining balanced coverage

• Owns and optimizes systems infrastructure for forecasting, pipeline management, contract execution, and billing operations—tailored to both subscriptions and usage-based pricing models

• Works cross-functionally to select, implement, and manage systems that enhance team productivity, data quality, and revenue operations at scale

• Implements workflows for pipeline hygiene, opportunity attribution, contract execution, subscription management, and consumption-based reporting

• Streamlines sales workflows to improve lead management and pipeline accuracy, partnering with sales leaders to remove friction and boost deal velocity

• Oversees legal and pricing routing and approvals for complex deals, working closely with Sales, Legal, and Finance teams

Questions We're Wrestling With

• How do you forecast revenue accurately when your pricing model includes usage-based components that customers themselves can't predict?

• What metrics actually matter for understanding GTM performance in AI infrastructure versus traditional SaaS?

• How do you build reporting systems flexible enough to evolve as our business model does?

• Where should we automate sales workflows, and where does human judgment still matter?

• How do you maintain data quality and process discipline while moving at startup speed?

• What does "good" pipeline hygiene look like for enterprise AI deals that don't follow traditional sales cycles?

These aren't theoretical—they're daily decisions that determine whether our revenue operations enable growth or become a bottleneck.

Who Thrives Here

You've built revenue operations in high-growth environments where "best practices" don't exist yet. You're equally comfortable in SQL and Salesforce as you are in strategy conversations with executives. You understand that perfect data is impossible, but actionable insights are essential. You move fast, execute relentlessly, and know when to build versus buy.

You likely have:

• 5+ years of experience in Revenue Operations, with at least 2 years in a leadership role at a high-growth B2B SaaS company (preferably AI/ML infrastructure, developer tools, or enterprise software)

• A reputation as an amazing executor who can move at pace and build while the company grows—without waiting for perfect clarity

• Strong ability to turn complex data into clear, actionable insights through both quantitative and qualitative analysis, particularly around usage-based and consumption metrics

• Technical proficiency with SQL/BigQuery, common data reporting tools, and Salesforce/HubSpot (as admin or power user)

• Understanding of usage-based revenue models, API pricing structures, and B2B enterprise sales processes—particularly in technical or developer-focused markets

• Proven track record of improving forecast accuracy, operational efficiency, and cross-functional collaboration in fast-scaling technology companies

• Analytical and systems-thinking mindset with excellent communication and project management skills, comfortable in highly technical environments

We'd be especially excited if you:

• Have experience with API monetization, usage-based billing models, or AI/ML infrastructure sales

• Bring familiarity with developer ecosystem GTM strategies and technical customer success metrics

• Understand AI model deployment, inference pricing, or cloud infrastructure business models

• Have exposure to enterprise procurement processes and technical contract negotiations

• Are hungry to learn and implement next-generation AI-powered RevOps tools

What We're Building Toward

We're not just tracking revenue—we're building the operational infrastructure that enables a frontier AI company to scale commercially. Every reporting system you implement gives leadership better visibility. Every process you streamline accelerates deal velocity. Every insight you surface shapes how we go to market. If that sounds more compelling than maintaining existing operations, we should talk.

Base Annual Salary: $155,000–$200,000 USD

We're based in Europe and value depth over noise, collaboration over hero culture, and honest technical conversations over hype. Our models have been downloaded hundreds of millions of times, but we're still a ~50-person team learning what's possible at the edge of generative AI.