Revenue Operations Manager

The Gap Partnership•,

16d•Hybrid

About The Position

The Gap Partnership is seeking an experienced Revenue Operations Manager to establish and lead its RevOps capability. This role will focus on designing and implementing efficient processes, systems, and reporting to reduce administrative burden and enhance commercial intelligence. The manager will work closely with senior leadership to automate processes, leverage AI, and improve the overall commercial engine. The company emphasizes a 'seller-doer' model, where efficiency gains directly benefit client service. This role is crucial for identifying automation opportunities, partnering with engineering to build AI agents, and ensuring the commercial technology stack is continuously improved.

Requirements

5–10 years' experience in Sales Operations, Revenue Operations, Commercial Operations, or a comparable analytical/commercial role, ideally in professional services or another seller-doer environment.
Hands-on CRM ownership experience (e.g. Salesforce, HubSpot, Dynamics), including data architecture and pipeline design.
Strong analytical grounding: comfortable building forecasting, win/loss and profitability models, and confident presenting them to senior stakeholders.
Experience designing or governing commercial process (stage gates, handover protocols, discounting policy) in a cross-functional environment.
Working knowledge of marketing attribution and marketing technology, or a strong appetite to build this quickly.
Demonstrable experience identifying process automation opportunities and translating them into requirements an Engineering team can build against.
Comfortable acting as the commercial-side partner to Engineering: able to write clear problem statements, review what has been built, and judge whether an automation or agent is ready to run on live commercial data.
A proactive, “comes to leadership with the answer before they ask” instinct rather than a purely reactive, ticket-taking style.
Excellent stakeholder management: able to work confidently with BD leads, Account Leads and senior Commercial Leadership.

Nice To Haves

Working proficiency with a PSA (e.g. OpenAir, Kantata, Certinia) is preferable.
Experience with AI agents, LLM-based tools or workflow automation platforms is strongly preferred.
Some prior line management or mentoring experience is an advantage.

Responsibilities

Own the day-to-day design, delivery, and continuous improvement of the RevOps capability.
Turn the company’s revenue operations mandate into working infrastructure, disciplined process, and proactive commercial intelligence.
Identify where the commercial engine can be automated, partnering with the engineering team to design and build AI agents.
Own the CRM and commercial technology stack, including pipeline architecture, data standards, deal desk operation, pricing tools, SOW templates, and rate cards.
Maintain the link between commercial systems and project delivery/revenue recognition.
Lead whitespace analysis, win/loss analysis, churn risk signalling, client profitability, and forecasting models.
Surface commercial intelligence proactively to Commercial Leadership.
Design and maintain the end-to-end commercial process from lead qualification through revenue recognition.
Own stage definitions, qualification criteria, handover protocols, and discounting policy.
Coordinate the annual and quarterly commercial planning cycle, including account coverage models, pipeline targets, and goal-setting.
Oversee onboarding, system training, proposal libraries, competitive intelligence, and playbooks.
Govern knowledge management to ensure best proposals, methodologies, and client materials are findable and reusable.
Provide analytical input into commission and bonus structures, modelling incentive design and calculating variable pay.
Take the lead in identifying commercial process automation opportunities using AI.
Partner with the Engineering team to scope, design, and build business-critical AI agents.
Own the roadmap and prioritization of automation opportunities.
Define guardrails for AI agents operating on commercial data.
Treat the commercial technology stack as a live program of continuous improvement.
Ensure marketing data flows into the CRM for true campaign-to-revenue attribution.
Oversee the administration of projects in the PSA (OA), including setting up project phases, updating billing milestones, allocating expenses, validating completion, and invoice raising.
Work with Finance on revenue recognition.
Line-manage the Revenue Operations Analyst, setting priorities and reviewing analytical output.
Act as the primary day-to-day point of contact for BD leads and Account Leads on commercial infrastructure, data, and process questions.