Revenue Operations Manager (all genders

Are you passionate about turning strategy into scalable execution? Do you thrive at the intersection of Sales, Marketing, Finance, and Tech – where operational clarity directly drives revenue growth?

Then, heyData is your next stop!

As Revenue Operations Manager – GTM Execution & Enablement, you will play a foundational role in heyData's Rev Ops team. You'll transform Rev Ops strategy into adopted, repeatable processes, drive cross‑functional alignment, and create the operational backbone that allows our revenue teams to move faster and smarter. This is not a classic admin role – it's built for someone who wants to shape how revenue teams work, own projects end‑to‑end, and make a measurable impact across the entire GTM motion.

• GTM execution and project coordination:
  Own and support cross‑functional Rev Ops projects from definition to rollout. Coordinate stakeholders across Sales, Marketing, Account Management, Privacy, Domain Experts, Finance, Data, and Tech. Make sure initiatives have clear owners, timelines, next steps, and adoption plans, reducing the need for day‑to‑day follow‑up from the Team Lead Rev Ops.
• Sales and pipeline operations:
  Support Sales with pipeline hygiene, CRM compliance, SDR‑to‑AE handoffs, deal process adoption, and forecasting inputs. Help ensure sales processes are clearly documented, understood, and followed in Hub Spot, and work with the GTM Engineer on workflow requirements, alerts, required fields, and automation needs.
• Customer revenue operations:
  Support Account Management processes across onboarding, renewals, expansion, upsell, cross‑sell, QBRs, churn prevention, and customer lifecycle management. Help define and roll out scalable AM operating processes together with Rev Ops leadership, improving visibility and accountability across customer revenue workflows.
• Revenue team alignment:
  Support alignment between Sales, Marketing, Account Management, Privacy, and Domain Experts by helping define lifecycle definitions, handoff processes, ownership rules, SLA expectations, task logic, attribution requirements, lead quality standards, and internal visibility needs.
• Enablement, documentation, and CRM adoption:
  Own clear process documentation in Notion for revenue workflows, handoffs, CRM usage, and operating rules. Support enablement sessions and team rollouts when processes change, and help teams understand what needs to be done, why it matters, and how it impacts reporting and execution.
• Reporting requirements and data quality:
  Act as the business‑side counterpart to Data Analytics for revenue reporting requirements. Help define what needs to be measured, how it should be interpreted, and whether dashboards reflect the actual GTM process and Hub Spot logic. Make sure Sales, Marketing, Account Management, Finance, and leadership reporting use consistent definitions.
• Operational improvement, automation, and governance:
  Identify process gaps, reporting inconsistencies, CRM compliance risks, unclear ownership, and practical AI or automation opportunities across revenue teams. Translate team pain points into clear process, automation, or AI use cases for Rev Ops leadership and the GTM Engineer to evaluate and implement.

• Bachelor's degree or higher in Business, Economics, Engineering, Information Systems, or a comparable field.
• 2–3 years of experience in Rev Ops, Sales Ops, Marketing Ops, SaaS Operations, Consulting, or similar roles – ideally in a B2B SaaS or subscription‑based business.
• Solid understanding of B2B SaaS GTM processes:
  Lead Management, Sales pipelines, Lifecycle stages, Renewals, Upsell, and Cross‑sell.
• Hands‑on experience with Hub Spot or a comparable CRM, including workflows, lifecycle stages, deals, and reporting logic.
• Ability to translate business problems into process, system, or automation requirements and coordinate multiple stakeholders without constant direction.
• Strong project management, documentation, and enablement mindset, and the ability to create clarity in ambiguous, cross‑functional processes.
• AI & automation mindset:
  You are able to identify practical use cases where AI or automation reduces manual work and improves quality…