At WooCommerce, we’re on a mission to democratize commerce. Millions of merchants around the world build their businesses with our open-source platform, and we’re scaling how we support them.

Specifically, we’re scaling our B2B merchant acquisition efforts and are looking for a Senior Revenue Operations Manager to help build our Revenue Operations function largely from the ground up. This role goes beyond optimizing what exists today: it involves designing systems, processes, and data foundations that don’t yet fully exist, while ensuring they can scale thoughtfully over time.

You’ll partner closely with Sales and Customer Success leadership as a trusted operational and analytical partner, helping establish the foundations that enable clear decision-making, effective execution, and predictable growth.

This is a senior individual contributor role with significant ownership and influence. Your work will directly shape how we operate today and how we scale going forward.

What You’ll Do

• First 90 days: Build core dashboards, identify process/data gaps, establish remediation plans.
• First 180 days: Create capacity and territory models, map the full tech stack and integrations, define the attribution model.
• First 12 months: Achieve predictable forecasting (within ±10%) and establish a scalable enablement foundation.

Day to day, Week to week, Month to month

Systems & Data Foundation

• Own vendor relationships, tools, and integrations (Salesforce, Gong, ChiliPiper, etc.).
• Establish data quality standards, access controls, and governance practices.
• Build durable dashboards and ad hoc reporting that clearly answer “where are we vs. target?”
• Perform ongoing process and data gap analysis, prioritizing practical improvements while keeping long-term scalability in mind.
• Evaluate and implement technology or process improvements to support revenue growth.

CS & Sales Enablement

• Operationalize CS function: customer health, churn prediction, renewal workflows, escalation paths, expansion playbooks.
• Create rules of engagement between Sales and CS for complex GTM.
• Build enablement function infrastructure (topics/process/schedule—not training delivery).

Strategic Revenue Support

• Build tracking for strategic/payment partner merchants critical to NRR.
• Analyze performance trends to guide strategy: win/loss, deal cycle length, seasonality, retention, segmentation bands, and customer bands.
• Create capacity planning models based on pipeline velocity and customer growth.
• Territory planning, quota setting, and compensation administration.
• Support pricing and packaging changes with data and tracking.
• Support mid-funnel pipeline reviews and Sales/CS QBRs.
• Identify and surface GTM and CS inefficiencies through data analysis.
• Build merchant health scoring, expansion potential tracking, and red-to-green workflows.
• Design reporting that gives executives visibility, managers clarity, and reps actionable insights—from pipeline health to forecasting accuracy.

You Might Be a Fit If

• You’ve built RevOps from scratch (6–8+ years of experience, including at least one 0→1 build or major foundation reset).
• You’re deeply data-driven, with a mindset of “if the data isn’t there, how do we get it?”
• You’re comfortable speaking truth to power, using data to surface trade-offs and inform decisions, even when conversations are uncomfortable.
• AI is a strength, not a buzzword—you can point to concrete examples of how you use it in your current role.
• You’re hands-on technically, with strong Salesforce experience (flows, integrations) and comfort working with data (e.g. SQL or Python), not just point-and-click tooling.
• You know the RevOps tooling landscape, and have good judgment about what actually works at scale.
• You’re pragmatic and intentional, balancing short-term fixes with longer-term system design.
• You can partner as an equal with revenue leaders, and communicate data-backed insights clearly to executive stakeholders.

What Good Looks Like

• You can answer “where are we vs. Sales and CS targets?” quickly using trusted data.
• Executives rely on ELT-ready dashboards that communicate complex business simply.
• Core metrics (NRR, CAC, LTV, ASP, time to close, close rates) are clearly defined with documented data sources.

Salary range: $140,000-$200,000 USD.  Please note that salary ranges are global, regardless of location, and we pay in local currency.

We are searching for high-caliber candidates with the skills and qualities to have a net positive for Automattic. Pay will reflect the potential contribution and the impact you can bring, which may, in some cases, go beyond the range stated.

This isn’t your typical work-from-home job—we are a fully-remote company with an open vacation policy. Read more about our compensation philosophy. To see a full list of benefits by country, consult our Benefits Page. And check out these links to learn more about How We Hire and What We Expect from Ourselves. #LI-Remote

Location: NYC NoHo Office (5 days a week)

About This Opportunity

We're building something unusual at Automattic: an AI-native culture at a 1,500-person company that powers 40% of the web. Not just adopting AI tools, but fundamentally transforming how we work and ship products at scale.

You’ll own the operational infrastructure that makes this possible. The messy, critical work between “we should use AI” and “we’re actually using AI effectively across 1,500 people”: privacy reviews, tool evaluations, policy development, vendor coordination, adoption tracking, and being the person who can answer “should we use this tool?” and “how should we approach this?”

This isn’t traditional program management. You’re building the governance frameworks and operational practices that help a distributed, highly technical organization move faster with AI while managing risk appropriately. You’ll work in-person with our Head of AI and NYC AI team while supporting AI adoption globally.

Why This Role Matters

Most companies are still asking “should we allow AI tools?” Automattic is asking “how do we use AI tools exceptionally well at scale while managing risk appropriately?” You’ll build the operational foundation that enables 1,500 people to move faster, work smarter, and compete in an AI-driven world.

Your decisions will have unusual leverage: shaping company-wide policy, creating governance infrastructure, and directly impacting how hundreds of millions of users experience AI in Automattic products.

What You’ll Do

• Own change management: design adoption campaigns, identify blockers to AI-native workflows, create enablement resources that move teams from experimentation to integration.
• Own AI governance: triage privacy questions, coordinate tool evaluations with Legal and Security, develop policy frameworks, guide procurement decisions.
• Build operational infrastructure: create processes where none exist, document decisions so teams can move faster, track adoption metrics and ROI.
• Manage cross-functional stakeholders: coordinate across Engineering, Product, Legal, Finance, and HR on AI initiatives and resource allocation.
• Serve as the central point of contact for AI questions across the company; translate ambiguous situations into clear guidance and actionable decisions.
• Report to leadership on AI adoption status, risks, and opportunities; facilitate strategic planning.
• Create dashboards, documentation, and operational playbooks that scale across a distributed organization.

You’ll Thrive Here If You

• Have 3–5+ years in technical program management or product operations at tech companies, managing complex initiatives with multiple stakeholders.
• Bring strong operational instincts. You build processes, create frameworks, and make chaos manageable.
• Excel at stakeholder management. Comfortable presenting to executives, facilitating cross-team discussions, influencing without direct authority.
• Navigate legal, privacy, and security considerations around new technology with confidence.
• Are data-driven. You track metrics, analyze trends, and use data to inform strategy.
• Thrive on bringing order to chaos. You’re energized by building systems that scale and being the “go-to person” for complex situations.

Technical Experience We Value

• Experience managing AI/ML initiatives or evaluating technical products (you don’t need to code, but should understand technical implications).
• Background in vendor evaluation, procurement processes, or technology governance.
• Track record building operational infrastructure or governance frameworks from scratch.
• Experience working with distributed/remote teams and async communication tools.
• Startup experience wearing multiple operational hats.

Bonus Points

• Previous work in management consulting, strategy, or business operations.
• Experience with AI tools in a professional context (understanding the landscape, not necessarily deep technical usage).
• Background supporting engineering or product teams at scale.

At Automattic, we use global salary ranges that do not vary by location. However, because this role is required to be based in our New York City office 5 days a week, we have applied an adjustment to the global band to support additional costs associated with the office-based role requirements. The salary for this role is $115,000–$190,000 USD.

If you later move to a different team or role at Automattic that is not NYC office‑based, your salary would be adjusted to the applicable global pay band for that role, which could result in a reduction in salary. Note that the global range would apply even if your chosen location of residence is NYC.

We are searching for high-caliber candidates with the skills and qualities to have a net positive for Automattic. Pay will reflect the potential contribution and the impact you can bring. #LI-DNI