Senior Revenue Operations Manager
Own the systems, insights, and cadence that keep PredictHQ’s customer journey moving - turning real-world data into confident revenue decisions for global brands.
We usually respond within two weeks
About PredictHQ
AI and forecasting systems have a blind spot: the real-world conditions that shift demand land as surprises instead of signals. PredictHQ closes that gap. We're the real-world context platform trusted by some of the world's largest enterprises, including Uber, Expedia, and CVS, explaining more than 60 percent of real-world demand variability so businesses can make high-stakes decisions on pricing, staffing, and inventory with confidence.
Our Values
PredictHQ is about teamwork to achieve huge things. We are building innovative and complex products, so our empathetic, hard-working culture is key to our success. We are proactive in helping our teammates grow and thrive in their careers, as well as making sure everyone can put their family and friends first.
Job Purpose:
PredictHQ's go-to-market motion runs on a six-stage, high-touch customer journey: Awareness → Education, Selection → Commit, Onboarding → Production, Adoption → Impact, Expansion, and Renewal.
As Senior Revenue Operations Manager, you will own the model and ensure it is being followed across Sales, Marketing, Solutions Engineering, and Support, catch the gap between what's documented and what's actually happening in the field, and run a standing reporting and variance cadence that gives leadership a reliable view of both. You will work directly with the Sales Director, VP Marketing, Solutions Engineering Manager, Director of Data Quality, and CFO, each of whom depends on this role for a different view into the same system.
Your first 90 days are focused on three things: verifying the customer journey model holds up as each stage goes live, standing up a reporting cadence every stakeholder actually uses, and closing the specific adoption gaps that surface once real deals run through the new process.
Success is a team that just gets on with it, backed by systems that work, with nothing unclear and nothing slowing them down.
⚙️ What You'll Do
Customer journey
Make sure every stage of the customer journey across Sales, Marketing, Solutions Engineering, and Support is working the way it's designed to, and call out where reality drifts from the plan
Own the Customer Journey documentation, ensuring it is accurate and up to date as things change in the field
Systems & tools
Own the Salesforce CRM end to end: data quality, configuration, simplification, standardization and adoption across the team
Manage the GTM tech stack day-to-day: tool admin, integrations, and vendor evaluation across Salesforce, Gong, Outline, and other products
Reporting & forecasting
Run a regular reporting cadence for five stakeholders (Sales Director, VP Marketing, SE Manager, Director of Data Assurance, CFO), each getting the view into pipeline, conversion, and revenue that's relevant to them
Support the Sales Director's weekly forecast process
Planning
Partner with the Sales Director and CFO on Revenue Architecture Planning across acquisition, retention, and expansion
Feed into capacity modelling: jobs to be done, territory and routing, quota, and SLAs
Accountability & rigor
Call out any targets that don't hold up against real data and challenge them before launch
Deliver a thorough quarterly targets-vs-actuals review across all six stages, being clear about what's an execution problem versus a flaw in the model itself
🤝 What You'll Bring
5+ years in a Revenue Operations, Sales Operations, or Marketing Operations role at a B2B SaaS company
Hands-on Salesforce experience: you can build reports, manage data hygiene, and configure Flows without needing an admin to do it for you
Comfort operating inside a system someone else designed: you can diagnose where a process isn't holding up in the field without needing to redesign it first
Strong analytical skills; comfortable with messy, live data and confident turning it into a clear narrative for non-technical stakeholders
Efficiency-driven: Uses AI automation to handle routine tasks and focus on creative problem-solving.
Experience across the full customer journey, from Marketing to Sales to Implementation
Comfortable running a standing reporting cadence for multiple functional stakeholders with different needs, spanning sales, marketing, technical, and finance audiences
The judgment to distinguish an execution problem from a design problem, and the communication skills to raise either one directly without getting caught in the middle
✨ Bonus Points
Experience in high-touch land and expand GTM motions
Familiarity with Clay, Gong, or similar revenue tech
Comfortable operating at startup pace, with limited processes, even where the core mandate is implementation rather than 0-to-1 build
General
BA/BS required
Applicants for this position must be a US citizen or have a valid United States work visa.
Ensure that all activities are conducted in accordance with internal policies and procedures, applicable legislation, rules and standards, including relevant Acts, Advertising Standards Authority rules and regulations, and industry body requirements.
Based in San Francisco, this role follows our hybrid approach - combining the flexibility of working from home with time in the office to foster team connection and collaboration.
Benefits 💛
Health Insurance administered by Sequoia One
Paid Birthday Leave and Paid Family and Friends Day Leave
Strong focus on your training and development
10 weeks of fully paid parental leave
Flexible work arrangements
A hybrid work environment centred on collaboration, agility and fun
Options in a fast-growing company in its early stages
$500 annual stipend to support your work-from-home setup

- Department
- Go to Market
- Locations
- San Francisco
- Remote status
- Hybrid
About PredictHQ
PredictHQ is the real-world context platform that improves model performance and AI inference at decision time. By harnessing global events and learning from trillions in demand data, we explain and predict demand variability so enterprises can make accurate, trusted decisions.