Senior Revenue Operations Manager

🕒 April 3

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Osmind

WebsiteLinkedInAll Job Openings

51 - 200 employees

⚕️ Healthcare Insurance

☁️ SaaS

🤖 Artificial Intelligence

Healthcare Insurance • SaaS • Artificial Intelligence

Osmind is a leading provider of electronic health record (EHR) software and services specifically tailored for psychiatric practices and ketamine treatment clinics. The company supports a network of over 800 independent psychiatry practices and collaborates with life sciences companies to enhance mental health treatment and research. Osmind's platform helps clinicians streamline workflow, track robust outcomes, and facilitate patient engagement with modern psychiatry interventions such as TMS and SPRAVATO®. Their state-of-the-art EHR system simplifies practices for clinicians, making it easier for them to manage psychiatric medications and interventions. Osmind is at the forefront of advancing evidence-generating medicine, helping to set new standards for mental health interventions.

📋 Description

• Revenue architecture across four GTM motions: Design and maintain the pipeline stages, routing logic, handoff workflows, and conversion metrics for each motion. • GTM systems administration: Own and administer HubSpot (including Operations Hub), ChiliPiper, Gong, Cargo, Unify, DocuSign, Arrows, Pylon, Chameleon, and integrations between them. • AI-native operations and automation: Build production-grade agentic workflows for data enrichment, lead routing, CRM hygiene, and reporting. • Data enablement and reporting: Build and maintain dashboards and reporting for leadership and Finance, including Metabase for BI and operational reporting. • Campaign and outbound operations: Architect campaign infrastructure in lockstep with the growth team.

🎯 Requirements

• 5–8 years in revenue operations, sales operations, or marketing operations in B2B SaaS • Hands-on CRM administration depth — workflow logic, pipeline architecture, integrations; you've built things in it, not just used it • Multi-motion GTM experience: designed and maintained 2+ distinct GTM motions with separate pipeline definitions and handoff workflows — you built the architecture, not inherited it • AI-native execution: you reach for AI first; you've shipped production-grade automations using LLMs, not just experimented; you have opinions about where the tooling is going • Technical execution depth: can build automations, troubleshoot API integrations, and audit data quality without a developer • Data architecture rigor: precise about how systems connect, where data degrades, and how to fix it • Strong cross-functional communication: translates between what sales needs, what marketing needs, and what the data actually says • Early-stage startup experience in scaling Series A through C companies • HIPAA-aware systems design: you understand what data can and can't flow where, and you factor that into how you build • Comfortable building systems that will change — you document as you go and don't need processes to be stable before you can improve them.