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For Companies At a Glance
- Tasks: Support revenue growth by enhancing data infrastructure and automating reporting processes.
- Company: Join TryHackMe, a leading player in the cybersecurity education space.
- Benefits: Flexible work environment, competitive salary, and opportunities for professional development.
- Why this job: Make a real impact on revenue operations while collaborating with diverse teams.
- Qualifications: Experience with HubSpot, data pipelines, and a strong understanding of B2B SaaS revenue mechanics.
- Other info: Dynamic role with opportunities for growth and innovation in a fast-paced environment.
The predicted salary is between 60000 - 80000 £ per year.
About TryHackMe
TryHackMe 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 RevOps 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.
The Challenge
As TryHackMe 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 HubSpot, ChurnZero, Tableau, Snowflake, and enrichment tools evolve.
This role helps ensure RevOps initiatives translate into practical, usable systems that teams can rely on day-to-day.
Responsibilities
- Support reporting and analytics by building and maintaining dashboards that surface clear GTM insights for Sales, CS, AM, and leadership.
- Partner with Data and RevOps leadership to maintain and improve data pipelines across HubSpot, ChurnZero, Tableau, and Snowflake.
- Design and maintain automation in HubSpot 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.
What We're Looking For
Required Skills & Experience
- Strong hands-on experience with HubSpot (workflows, properties, lifecycle stages, reporting, integrations).
- Working knowledge of ChurnZero 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 workstreams.
Attributes We Value
- 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.
Nice to Have
- 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.
What Success Looks Like
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 RevOps 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 logic are easier for teams to understand and adopt.
- Revenue teams are better supported in hitting New Business and Expansion targets.
Why This Role Matters
This role ensures that RevOps strategy translates into execution. By strengthening data infrastructure, automation, and reporting:
- Sales can prioritise and forecast more confidently.
- CS and AMs can manage renewals and expansions more effectively.
- Leadership can make decisions based on consistent, trusted data.
- Revenue growth scales without unnecessary operational overhead.
Revenue Operations Data Engineering Partner in London employer: TryHackMe Ltd
Contact Detail:
TryHackMe Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Revenue Operations Data Engineering Partner in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at events. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio or a project that highlights your data engineering prowess. It’s a great way to demonstrate what you can bring to the table.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios related to revenue operations. We want you to feel confident and ready to impress!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets the attention it deserves. Plus, we love seeing candidates who are keen to join us!
We think you need these skills to ace Revenue Operations Data Engineering Partner in London
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Revenue Operations Data Engineering Partner role. Highlight your experience with HubSpot, ChurnZero, and any relevant data tools. We want to see how your skills align with our needs!
Showcase Your Collaboration Skills: This role is all about teamwork! In your application, share examples of how you've worked closely with different teams to achieve common goals. We love seeing candidates who can bridge the gap between technical and non-technical stakeholders.
Be Data-Driven: Since this position revolves around data infrastructure and reporting, include specific instances where you've improved data quality or created impactful dashboards. We’re keen on candidates who understand the importance of accurate data in driving revenue.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to keep track of your application and ensure it gets the attention it deserves. We can’t wait to hear from you!
How to prepare for a job interview at TryHackMe Ltd
✨Know Your Data Tools
Make sure you’re well-versed in HubSpot, ChurnZero, and Tableau. Brush up on how these tools work together to support revenue operations. Be ready to discuss specific examples of how you've used them to improve data quality or automate processes.
✨Showcase Your Collaboration Skills
This role is all about teamwork, so be prepared to share experiences where you’ve successfully collaborated with non-technical stakeholders. Highlight how you translated their needs into actionable solutions that drove results.
✨Demonstrate Your Analytical Mindset
Be ready to talk about your experience with data models and pipelines. Discuss how you’ve supported forecasting and performance tracking initiatives in the past, and how you ensure data accuracy and consistency.
✨Prepare for Scenario Questions
Expect questions that ask how you would handle specific challenges related to data infrastructure or reporting workflows. Think through potential scenarios in advance and outline your approach to solving them, focusing on practical improvements and collaboration.