Osmind is a public benefit corporation advancing psychiatry through technology, services, and real-world evidence. Our software and services are used by 1,000+ interventional psychiatry practices across the U.S., the largest network of its kind. Our platform also supports life sciences companies developing and scaling access to cutting-edge treatments.
RevOps at Osmind owns the revenue architecture across the full customer journey — from first marketing touch through closed-won, onboarding, expansion, and retention. That journey runs across four distinct go-to-market motions: scaled SMB sales, mid-market sales-led with outbound, clinician customer engagement and upsell, and enterprise life sciences. Each has its own pipeline definitions, handoff logic, channels and conversion metrics. Keeping them clean, connected, and compounding is the core challenge. This role reports to the VP of Growth.
You'll inherit a modern stack (HubSpot, ChiliPiper, Gong, Cargo, Unify, Lovable, DocuSign, Arrows, Pylon, Chameleon) and be expected to extend it with AI-native workflows from day one. We're looking for someone who brings GTM engineering instincts to every system they touch. You’re excited to build revenue systems on the frontier of what’s possible today - learning from the dynamically evolving best practices, applying them to Osmind’s needs and sharing your learnings with the broader team. You’ll have the AI tools you need to be successful, whether that’s Claude (chat, cowork or code), Cursor, Cargo, Zapier or Lovable.
What success looks like in the first 6 months: The revenue engine runs end-to-end with clean handoffs at every stage, actionable intelligence flowing to the right people, and an orchestrated GTM that delivers an exceptional customer experience from acquisition through retention and expansion. You've built AI-powered infrastructure the GTM team runs on and shipped automations yourself that eliminated the highest-friction manual work. You know the revenue engine inside and out and have a clear point of view on where it goes next.
GTM systems administration
Own and administer HubSpot (including Operations Hub), ChiliPiper, Gong, Cargo, Unify, DocuSign, Arrows, Pylon, Chameleon, and integrations between them. Maintain data integrity across the stack. Evaluate and integrate new tools as the stack evolves.
AI-native operations and automation
Build production-grade agentic workflows for data enrichment, lead routing, CRM hygiene, and reporting. Apply AI to surface insights and reduce manual overhead. Own the AI enrichment pipeline for outbound targeting. Stay current on the tooling landscape and bring recommendations proactively.
Data enablement and reporting
Build and maintain dashboards and reporting for leadership and Finance, including Metabase for BI and operational reporting. Drive attribution methodology across all four motions. Partner with Finance on forecasting models. Partner with Data team on all things modern data stack to support GTM and Finance use cases — while the Data team owns ETL (Fivetran), data models (dbt) and reverseETL (Census), you should understand how your data architecture decisions in the GTM stack impact this work and be able to PM the data activation and reporting use cases. And have an opinion on when to use the modern data stack architecture vs. the more AI-native options.
Campaign and outbound operations
Architect campaign infrastructure in lockstep with the growth team. Own outbound infrastructure: account prioritization, signal-based triggers, sequence tooling.
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