Revenue Operations Manager

Who you are

• You have 5-7 years of experience in consulting, banking, analytics, or strategy & operations at a growth-stage company; healthcare, marketplace, or revenue operations experience is a plus
• You have a strong analytical foundation (i.e., fluent in SQL and data modeling, comfortable building metrics from scratch, know what a good operating cadence looks like)
• You're AI-fluent, with experience applying AI tools to real business problems across sales or go-to-market functions
• You're a 0→1 builder that can scope ambiguous problems, build infrastructure that doesn't yet exist, and drive adoption without being handed a roadmap
• You communicate with clarity and conviction by leading with a point of view, defending it when challenged, and closing the loop

What the job involves

• We're hiring an Insights & AI Manager to be the analytical and AI backbone for CarePa and adjacent sales functions
• This is a high-visibility IC role sitting at the intersection of data, partner strategy, and AI
• You'll build the performance infrastructure Headway sales teams run on, surface the signals that drive partner prioritization decisions, and apply AI to make the team smarter and faster at scale
• This role brings the analytical rigor of a high-performing Revenue Operations function to one of Headway's fastest-growing channels: building the measurement infrastructure, operating cadences, and AI-powered tools that help our Care Partnerships team scale referral volume and deepen relationships with health system partners
• Identify where AI can move the needle for Care Partnerships and adjacent sales teams: predicting which partner accounts are at risk, prioritizing outreach, and surfacing patterns that distinguish high-performing health system partnerships
• Apply AI tools to build self-service analytics that let partner success and business development reps answer their own performance questions
• Deliver proactive strategic analysis (e.g., referral funnel breakdowns, account health signals, conversion benchmarks by segment) and enable the team to drive against insights
• Build and own the reporting infrastructure that drives GTM decision-making
• Instrument new product features from launch so pilots and experiments are high-impact