Osmind - Senior Revenue Operations Manager

• 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 • 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 • 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 • $139,230 - $167,987 a year • Depending on experience. The reasonably estimated national salary range for this position is between $139,230 and $167,987 per year, plus an equity package for eligible employees. Actual compensation will be commensurate with the candidate’s experience and local cost of labor. In addition, Osmind offers a wide range of comprehensive and inclusive employee benefits, including healthcare, dental, vision, generous family leave, FSA/DCFSA, mental health benefits, a 401(k) plan, and flexible paid time off. • Some candidates may see the list above and feel discouraged because they don't match all the items. Please apply anyway: there's a good chance you also have important skills we’ve missed! We are committed to diversity and building an equitable and inclusive environment for people of all backgrounds and experiences, and we're taking steps to meet that commitment. We especially encourage members of traditionally underrepresented communities to apply, including women, underrepresented people of color, LGBTQ+ people, veterans, and people with disabilities.