RevOps Data Projects

About Try Hack Me

Try Hack Me  is scaling its GTM motion across Sales, Account Management, Customer Success, and Marketing. To support ambitious revenue targets, we are strengthening our Revenue Operations function with a role focused on data infrastructure, automation, and reporting enablement
.

This role partners closely with Sales, CS, AM, Marketing, Data, and Rev Ops leadership to ensure teams have reliable data, scalable systems, and actionable insights
—so they can execute effectively against revenue goals.

This is a hands-on, collaborative role designed to accelerate execution, reduce friction, and support revenue-driving initiatives across the business.

As Try Hack Me  grows, our GTM teams need stronger operational support to keep pace with complexity and scale:

• Data infrastructure must be continuously improved to support forecasting, performance tracking, and decision-making

• Automation and workflows need refinement to reduce manual effort and improve speed-to-action

• Reporting foundations require ongoing iteration to support leadership, Sales, CS, and AMs

• Cross-system data consistency is critical as Hub Spot, Churn Zero, Tableau, Snowflake, and enrichment tools evolve

This role helps ensure Rev Ops initiatives translate into practical, usable systems that teams can rely on day-to-day.

• Support reporting and analytics by building and maintaining dashboards that surface clear GTM insights for Sales, CS, AM, and leadership

• Partner with Data and Rev Ops leadership to maintain and improve data pipelines across Hub Spot, Churn Zero, Tableau, and Snowflake

• Design and maintain automation in Hub Spot and related tools to improve funnel flow, forecasting accuracy, and CRM hygiene

• Enable GTM teams with clean data structures, consistent definitions, and reliable reporting

• Support forecasting and revenue tracking initiatives for New Business, Renewals, and Expansion

• Improve data quality and consistency through audits, validation rules, and workflow logic

• Document processes and system logic to ensure transparency, adoption, and scalability

• Collaborate cross-functionally with Sales Ops, CS Ops, Marketing Ops, and Data to translate requirements into operational solutions

• Assist with ad-hoc analysis and enablement as revenue priorities evolve

• Strong hands-on experience with Hub Spot (workflows, properties, lifecycle stages, reporting, integrations)

• Working knowledge of Churn Zero for CS reporting, renewals, and expansion tracking

• Experience supporting Tableau dashboards and structured reporting outputs

• Comfort working with data models and pipelines in partnership with Data / Analytics teams

• Strong understanding of B2B SaaS revenue mechanics (pipeline, forecasting, NRR, GRR, expansion)

• Ability to collaborate closely with non-technical stakeholders and translate needs into operational solutions

• Organized, delivery-focused, and comfortable operating across multiple work streams

• Collaborative mindset — you enable others to succeed rather than working in isolation

• Execution-oriented — you focus on practical improvements that unblock teams

• Data-conscious — you care deeply about accuracy, definitions, and consistency

• Clear communicator — able to explain systems and data simply

• Adaptable and proactive — comfortable iterating as GTM priorities change

• AI-aware — uses AI and automation thoughtfully to accelerate outcomes

• Experience with
  Clay, Pocus, Gong
  , or similar GTM tools

• Exposure to cybersecurity or edtech GTM motions

• Experience supporting both Sales and Customer Success workflows

• Familiarity with enrichment, intent data, and buyer journey tracking

Within the first 30 days:

• Supported improvements to existing dashboards and reporting workflows

• Helped stabilize data consistency across core GTM systems

• Delivered automation or workflow improvements that reduce manual effort

• Partnered with Rev Ops leadership on priority initiatives

Within 60–90 days:

• Reporting and forecasting workflows are more reliable and trusted by teams

• GTM teams experience faster execution due to cleaner data and automation

• Documentation and system…