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Revenue Operations Manager

Lumafield

Job Location:

San Francisco, CA - USA

Monthly Salary: Not provided by the employer

Posted: 6 May 2026 (30+ days ago)

Application Deadline: 14 September 2026

Vacancies: 1 Vacancy

The job posting is outdated and position may be filled

Job Summary

About Lumafield:

Founded in 2019 Lumafield has developed the worlds first accessible X-Ray CT scanner for engineers. Our easy-to-use scanner and cloud-based software give engineers the ability to see their work clearly inside and out at an extremely affordable price.

Engineers make million-dollar decisions every day and they need tools that give them the greatest possible insight into their products. By offering unprecedented visibility into products as well as AI-driven tools that highlight problems and generate quantitative data Lumafield promises to revolutionize the way complex products are created manufactured and used across industries.

We are an impact driven company obsessed with providing the best value to our customers keeping their needs at the center of our evolution. Our team today includes world-class researchers and industrial designers PhDs creators founders of successful startups and zero egos. We are backed by top venture capital funds like Kleiner Perkins Lux Capital DCVC Spark Capital and others.

The company is headquartered in Cambridge MA and has an office in San Francisco CA.

About The Role

Lumafield is hiring a Revenue Operations Manager to join our Strategy & Operations team. Youll partner closely with our Chief of Staff and Head of Sales anchoring in Sales Ops while reaching across to Marketing Ops and Customer Success Ops to help our GTM engine run cleanly.

This is an individual contributor role. Were looking for someone who walks in finds the things that are broken or fragile or just slow and fixes them. The forecasting cadence that drifts. The handoff that falls apart at the seam. The dashboard nobody trusts. The workflow that should take ten minutes and takes two hours.

Youll spend most of your time in HubSpot Gong Clay and our Databricks reporting layer. The work is reshaping how a fast-growing GTM team operates as it scales from one motion to two and from hundreds of customers to thousands. Were looking for someone whos organized fast and already operating in the modern AI-assisted ops stack using Cursor and Claude Code as everyday tools not as experiments.

This is a builders seat. You wont inherit a polished playbook youll help write the next version of it. Were looking for someone whos organized fast and already operating in the modern AI-assisted ops stack using Cursor and Claude Code as everyday tools not as experiments.

What Youll Do:

Own the weekly forecasting cadence end-to-end: pipeline hygiene stage-gate enforcement the meeting that runs on rails because you set it up that way
Build the dashboards leadership actually uses and retire the ones they dont
Support comp plan administration quota tracking and attainment reporting
Partner with the Chief of Staff on cross-functional analyses and special projects across GTM
Partner with Marketing Ops on the seams lead routing MQLSQL handoff attribution that holds up under scrutiny
Partner with CS Ops on the post-sale signal renewal forecasting account signals integrations
Answer the questions Sales Marketing and CS leadership are actually asking with analyses that move decisions
Take HubSpot from mostly works to load-bearing clean data sharp custom objects account hierarchies that reflect how we actually go to market
Build the runbooks and automations that let the team scale without breaking

About You:

47 years in Sales Operations Revenue Operations or GTM Analytics at a B2B company
Hands-on experience with HubSpot or Salesforce you can build workflows custom reports and automation
Working fluency with Gong and Clay youve configured workflows built enrichment logic or shipped real automation in these tools
Deep familiarity with B2B SaaS metrics: ARR NRR GRR Churn CAC etc.
Python proficiency you write scripts parse data and build automations rather than waiting for engineering
SQL fluency youve written queries against a real data warehouse (Databricks Snowflake BigQuery)
Daily user of Cursor and Claude Code these are how you write edit and ship code
Comfortable in spreadsheets at a level most people arent you build models not just track lists
Clear written communication; you document your work so others can follow it
Bias toward action and a track record of shipping projects end-to-end
Extremely organized and ready to dive head first into a rapidly scaling startup environment

Bonus Points For:

Experience supporting a hardware or hybrid hardware-plus-software GTM motion
Background in sales consulting finance or analytics before moving into ops
Opinions about MCP agentic workflows or programmatic revenue ops

$135000 - $165000 a year

Lumafield offers both competitive cash and equity compensation as well as a health & wellness stipend 401k parental leave flexible PTO commuter benefits company wide events and more!

Lumafield is committed to building a team that represents a variety of backgrounds perspectives and skills because the more inclusive we are the better our work will be. Do you feel like your skills dont meet every single requirement listed We encourage you to apply anyway If youre excited about our technology the opportunity and are eager to learn more wed love to hear from you!

In keeping with our beliefs and goals no employee or applicant will face discrimination or harassment based on: race color ancestry national origin religion age gender marital domestic partner status sexual orientation gender identity disability genetic information or veteran status.

Reach out if you want to be a part of what we are building.

San Francisco Applicants: Review the San Francisco Fair Chance Ordinance guidelines applicable in your area.

We may use artificial intelligence (AI) tools to support parts of the hiring process such as reviewing applications analyzing resumes or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed please contact us.

Required Experience:

Manager

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