GTM Operations Manager

New

RevenueCatMobile app monetization

Location: EMEA; Secondary Locations: Americas (EST only); Workplace: Remote, EST onlyFull-TimeManager

Salary$158K; $158K • Offers Equity

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Job Details

Experience: 3+ years of hands-on experience in GTM, revenue, marketing, sales, or customer operations.
Required Skills: SQLSalesforceRESTful APIsHubSpot

Have 3+ years of hands-on experience in GTM, revenue, marketing, sales, or customer operations.
Have practical Salesforce experience, including understanding objects, relationships, fields, flows, and data movement; have built or changed Salesforce components yourself.
Have experience building in a marketing automation platform such as Customer.io, HubSpot, Marketo, Braze, or Iterable, including segmentation, triggers, and integrations.
Have built something useful with AI and be able to explain the problem, your contribution, how you evaluated results, what failed, and what you changed.
Demonstrate troubleshooting and analytical judgment, including tracing problems across systems and checking assumptions against data.
Be able to take ownership of an agreed problem, work through ambiguity, communicate tradeoffs, and deliver independently.
Communicate clearly in writing, document decisions, and explain technical problems in actionable language.
Show attention to operational details such as incorrect audiences, missing records, duplicate triggers, and failed handoffs.
Adapt to unfamiliar tools and changing priorities while keeping commitments and stakeholders informed.
Experience with a product-led or usage-based business, connected CRM or marketing systems, SQL, APIs, webhooks, lightweight scripts, or customer lifecycle programs is preferred.

Own selected GTM workflows from problem definition and success measurement through building, testing, rollout, and ongoing improvement.
Build and improve enrichment, qualification, routing, alerts, and follow-up visibility for lead and account handoffs.
Partner with Marketing and Customer Growth on lifecycle audiences, triggers, exclusions, data syncs, campaign QA, and measurement.
Trace account, contact, and product-usage data across systems; investigate and address stale records, duplicates, mismatched relationships, and failed syncs.
Test automation against realistic scenarios and edge cases, monitor failures, and make recovery steps clear.
Build or improve AI workflows for tasks such as enrichment, research, qualification, and quality checks; evaluate output and measure results.
Document workflows, enable users, gather feedback, and keep process documentation current.
Build and maintain reports on workflow health, handoff gaps, campaign execution, and adoption.

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