The work you’ll do

Run the operational rhythm: Support the day-to-day operating cadence of the Value Engineering and Services organizations - activity tracking, capacity reporting, and engagement pipeline hygiene across the field organization.
Own dashboards and scorecards: Maintain and update VE performance dashboards and operational scorecards on a weekly cadence, ensuring data accuracy across Salesforce and internal reporting tools, and leveraging AI GTM capabilities to automate the upkeep and surface insight faster.
Coordinate engagement intake and assignment: Assist in running VE engagement intake and assignment workflows and hiring coordination, routing requests across sub-teams and flagging capacity or coverage gaps to senior ops leads before they become bottlenecks.
Prepare leadership reporting: Build the recurring reporting packages VE and Services leadership relies on, pulling structured data from CRM and the Celonis platform and formatting outputs for QBR and other customer engagement cadences.
Support analytics on demand: Turn around ad hoc analytical requests from the VE Ops team: deal support data pulls, engagement outcome summaries, and team utilization snapshots - leveraging AI GTM capabilities to make common asks self-serve.
Drive strategic initiatives: Partner on and help lead select strategic initiatives and planning workstreams for the VE and Services organizations, from framing the work through tracking execution and outcomes.
Make the function better as you go: Spot friction in how the team operates and propose process improvements, turning manual, repetitive work into documented, repeatable systems - applying AI GTM capabilities to simplify how the field works and drive productivity gains.

The qualifications you need

4–6 years in revenue operations, sales operations, business operations, or a related GTM strategy/analytics role, preferably within B2B SaaS.
Strong hands-on proficiency in Salesforce for reporting and analysis, and comfort working across CRM data and internal reporting/BI tools.
Demonstrated ability to maintain operational dashboards, scorecards, and recurring reporting packages with a high bar for data accuracy.
Curiosity and fluency around AI use cases for GTM and operations teams — experience or strong interest in leveraging AI GTM capabilities to automate recurring work, accelerate analysis, simplify how the field operates, and drive productivity gains.
Highly organized with strong attention to detail; able to manage multiple recurring cadences and ad hoc requests without dropping threads.
Comfortable operating with ambiguity in a fast-scaling environment; proactive about surfacing gaps and risks early.
Strong communication and stakeholder skills; able to partner effectively across a field organization and present clean, decision-ready outputs to leadership.
An analytical mindset — able to move from a data pull to the “so what” and translate raw data into snapshots leaders can act on.
Preference for candidates based in Raleigh or the surrounding area and able to commute to the office up to 3 days per week.