Revenue Operations Lead - AI Business

Prolific•San Francisco, CA

18h•Remote

About The Position

Prolific is building the world’s most trusted human feedback infrastructure for AI, research, and insight, working with frontier AI labs, enterprise AI teams, and leading academic institutions to deliver high-quality, ethical, and scalable human data. As the AI business scales rapidly, Prolific is investing in strong, disciplined Revenue Operations to support increasingly complex sales motions, managed services delivery, and long-term customer value. The Revenue Operations Lead will scale Prolific’s AI revenue engine across Sales, Customer Success, and Services, focusing on systems, data, forecasting, process, and performance. This role acts as the operational backbone for the AI commercial organization, partnering closely with Sales leaders, Account Executives, Customer Success, and BI, and collaborating with Marketing Ops and Research RevOps leads. The position supports growing Sales and CS presence across New York and San Francisco, with strong overlap with GTM leadership and executive stakeholders. The mandate is to increase revenue efficiency and improve forecasting accuracy and confidence while ensuring high-quality, timely reporting and performance visibility. This role is central to Prolific’s AI commercial engine, ensuring fast, predictable, and intelligent scaling as enterprise and frontier AI customers grow, with sales teams focused on closing, CS focused on value, and leadership confident in the numbers. The ideal candidate thrives in ambiguity, cares deeply about revenue mechanics, is a strong collaborator, and wants to shape how an AI infrastructure company scales commercially.

Requirements

Proven experience in Revenue Operations, Sales Operations, or Commercial Operations in a high-growth technology company.
Strong, hands-on experience owning and scaling with HubSpot.
Deep practical understanding of sales motions, renewals, expansions, and forecasting.
Comfort partnering with BI and working with complex revenue datasets.
Ability to map messy real-world processes and turn them into clean, scalable systems.
A rigorous, outcomes-driven mindset with high standards for data quality and clarity.
The role requires working US East Coast hours.

Nice To Haves

Experience working alongside (but not owning) Marketing Ops and demand systems.
Exposure to AI, data platforms, marketplaces, or managed services businesses.
Experience with tools such as Jiminny, Customer.io, Census, Metabase, or similar.
SQL fluency or strong comfort interrogating data directly.

Responsibilities

Own and continuously optimize Prolific’s revenue systems, with HubSpot at the core.
Ensure clean, scalable workflows across sales, renewals, expansions, and services delivery.
Partner with Marketing Ops, RevOps for Research, BI and Support Ops on system boundaries, integrations, and data contracts (not duplicate ownership).
Identify gaps, document requirements, and lead implementation of scalable RevOps solutions.
Build and maintain revenue reporting and dashboards across pipeline, bookings, delivery, retention, and expansion.
Own forecasting rigor for the AI business: deal hygiene, stage definitions, pipeline reporting, confidence modelling, and variance analysis.
Partner closely with BI to improve data models, definitions, and executive-level reporting for MBRs and other forums.
Improve data quality and visibility across long, multi-stakeholder AI deal cycles.
Design, document, and optimize end-to-end revenue processes (opportunity - contract - delivery - renewal/expansion).
Identify bottlenecks across Sales, CS, and Managed Services and drive pragmatic fixes.
Ensure operational readiness for complex deal structures, pricing models, and delivery commitments.
Act as a trusted operational partner to Sales and CS leadership.
Support territory design, capacity planning, quota modelling / monitoring and pipeline health.
Enable new AI products, packaging, and commercial models from a revenue mechanics perspective (not marketing execution).
Support sales teams with insight, tooling, and clarity, not overhead.
Balance proactive, high-impact RevOps initiatives with responsive support for Sales and CS teams.
Establish clear operating cadences, documentation, and performance reviews and MBRs for the BU and Sales Leadership.
Support change management as Prolific evolves its AI offerings and revenue mix.