Osmind Logo

Osmind

Senior Revenue Operations Manager

Reposted 17 Days Ago
Remote
Hiring Remotely in United States
139K-168K Annually
Senior level
Remote
Hiring Remotely in United States
139K-168K Annually
Senior level
The Senior Revenue Operations Manager will design and maintain revenue architecture, GTM systems, and apply AI for automation, ensuring data integrity and effective reporting across sales and marketing.
The summary above was generated by AI
About Osmind

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.

The Opportunity

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.

What You'll Own

    Revenue architecture across four GTM motions
    Design and maintain the pipeline stages, routing logic, handoff workflows, and conversion metrics for each motion. Marketing, sales, implementation, customer success, support, finance, and leadership all run on this architecture.

    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.

Your First 90 Days

  • 30 days: Full working knowledge of all GTM systems, documented handoffs and workflows, prioritized backlog of gaps ranked by revenue impact
  • 60 days: Highest-impact agentic workflows are live. Production-grade automation targeting the outbound enrichment pipeline and the most manual reporting processes, not prototypes.
  • 90 days: Outbound motion is scaling — account scoring, sequence infrastructure, and signal-based triggers running reliably and improving week-over-week

What We're Looking For

  • 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

Bonus Points

  • Experience with HubSpot Operations Hub, Unify, Arrows, Pylon, or ChiliPiper
  • Clay, Cargo, or AI enrichment pipeline experience
  • Prior healthcare or life sciences vertical experience beyond HIPAA compliance
  • For remote candidates: Pacific timezone preferred
  • We also support in-person candidates based in San Francisco who are able to go into the office 2 days per week

HQ

Osmind San Francisco, California, USA Office

San Francisco, CA, United States

Similar Jobs

8 Days Ago
Remote
United States
152K-177K Hourly
Senior level
152K-177K Hourly
Senior level
Healthtech • Social Impact • Software • Telehealth
Lead RevOps for B2B growth: translate goals into forecasts, models, incentives, and dashboards. Partner with Sales to analyze funnel performance, reconcile top-down and bottom-up forecasts, run pipeline reviews, and improve coverage, capacity, and data quality using spreadsheets, CRM data, and BI tools.
Top Skills: Bi ToolsExcelGoogle SheetsSalesforceSQL
22 Days Ago
Easy Apply
Remote
USA
Easy Apply
168K-210K Annually
Senior level
168K-210K Annually
Senior level
Big Data • Healthtech • HR Tech • Machine Learning • Software • Telehealth • Big Data Analytics
Lead revenue operations for sales, account management, and customer success by owning processes, metrics, and ad-hoc analysis. Optimize tools (Salesforce, Outreach, HubSpot), integrate people/process/systems strategies, escalate and resolve revenue issues, and provide data-driven insights to support growth and executive decision-making.
Top Skills: ExcelHubspotLookerOutreachSalesforceTableau
2 Days Ago
Remote
US
130K-160K Annually
Senior level
130K-160K Annually
Senior level
HR Tech
Own ChartHop's marketing and revenue operations by consolidating HubSpot as a single CRM source of truth. Build data governance, lead lifecycle and routing, campaign operations, attribution, full-funnel analytics, and executive dashboards. Support HubSpot-Salesforce migration, enable sales reporting, surface conversion trends by persona/industry, and drive automation and AI-enabled workflow improvements. Partner with sales leadership to improve funnel efficiency and operationalize metrics for growth.
Top Skills: AICRMDashboardsHubspotHubspot IntegrationsMarketing AutomationSalesforce

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account