GTM Strategy & Operations
Founding RevOps hire building and running the operational backbone of Forus' GTM engine. Own HubSpot architecture, reporting, dashboards, and GTM planning models.
About the job
Responsibilities
- Own Forus' HubSpot architecture end to end - objects, properties, workflows, and data integrity
- Build the reporting and dashboards that become the company's source of truth for pipeline health, conversion, and forecast accuracy
- Build the models, inputs, and targets behind the quarterly and annual GTM planning cycles
- Run the data discipline the org depends on — account and opportunity hygiene, pipeline cleanliness, and ICP segmentation
- Surface the trends, risks, and gaps that aren't obvious from a dashboard, and synthesize them into clear recommendations for company leadership
- Become the in-house authority on our provider network and GTM tooling stack, and drive adoption across reps and managers
Requirements
- 2+ years in revenue operations, sales strategy, or business operations, ideally in B2B SaaS or enterprise software
- Strong, hands-on HubSpot experience - you've architected and fixed it yourself (objects, properties, workflows, reporting, hygiene)
- Deep comfort in data, Excel/Sheets is table stakes, and comfort with SQL or BigQuery to pull your own numbers
- A track record of moving quickly, finding shortcuts, and going to unreasonable lengths to deliver on goals
- High NPS with your former teammates
Nice-to-Haves
- You've stood up RevOps systems and process from scratch at an early-stage or hyper-scaling company
Benefits
- Competitive compensation with meaningful equity
- Fully covered medical, vision, and dental insurance
- Memberships for One Medical, Talkspace, Teladoc, and Kindbody
- Unlimited paid time off (PTO) and 16 weeks of parental leave
- 401K plan setup, FSA option, commuter benefits, and DashPass
- Lunch at the office every day and Dinner at the office after 7 pm
Skills
HubSpot, SQL, BigQuery, Excel, Google Sheets, Revenue Operations, Sales Strategy, Business Operations, Pipeline Management, Data Analysis
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