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Eleos Health

Director of Revenue Operations (US, Remote)

Sorry, this job was removed at 04:10 p.m. (CST) on Thursday, Dec 11, 2025
Easy Apply
Remote
Hiring Remotely in United States
Easy Apply
Remote
Hiring Remotely in United States

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Who is Eleos Health?

Today, more people than ever are speaking publicly about their mental health. Whether it's ourselves, our friends and family or even public figures, taking care of your behavioral health is no longer a taboo, it's vital, and it's only human.
Eleos is on a mission to help deliver the world's most effective behavioral care through data, measurement, and personalization. Or simply put, we want to give clinicians the support they need to do the important work only they can do.

What is this opportunity?

We are looking for a Director of Revenue Operations to lead operational alignment and excellence across Eleos Health’s Sales, Marketing, and Customer Success organizations. This role will be pivotal in bridging strategy and execution across GTM teams, overseeing day-to-day operations, optimizing systems and tools, and driving performance accountability. You’ll manage a growing team and report directly to the VP of GTM Operations, playing a critical role in operationalizing our growth strategy.
This is a hands-on, cross-functional leadership role for someone passionate about scaling SaaS organizations with precision, clarity, and collaboration.

How will you contribute?GTM Operations Strategy & Execution
  • Drive unified planning, process design, and execution across Sales, Marketing, and Customer Success.
  • Operationalize GTM playbooks across the customer lifecycle—from inbound lead to closed-won to renewal and expansion.
  • Serve as the connective tissue between teams—ensuring cross-functional alignment, clear ownership, and data-backed decisions.
Reporting, Forecasting & Performance
  • Build and maintain dashboards and reporting to track pipeline, funnel performance, retention, CAC, NRR, and GTM KPIs.
  • Own forecasting frameworks in collaboration with Sales and CS leadership using tools like Gong Forecast, ChurnZero, and HubSpot.
  • Translate data into insights that drive better decisions, greater accountability, and higher productivity across teams.
RevOps Infrastructure & Tech Stack
  • Own and optimize our RevOps technology ecosystem, including: ChurnZero, Gong (Forecast & Engage), Quotapath, HubSpot, Propensity, Zendesk, Rocketlane, Qualified, ZoomInfo, LinkedIn Sales Navigator.
  • Lead integration efforts, tech audits, and tooling roadmaps to ensure systems work together to enable GTM outcomes.
  • Identify and drive automation opportunities to reduce manual work and improve execution velocity.
Team Management & Cross-Functional Leadership
  • Manage and develop Revenue Operations Managers and Analysts, fostering a high-performance, service-oriented culture.
  • Partner with Finance, Product, and Data teams to align GTM strategy with forecasting, planning, and lifecycle metrics.
  • Collaborate closely with Enablement and Training to support GTM onboarding, ramp, and ongoing skill development.
What qualifications and skills will help you to be successful?
  • 7+ years in Revenue Operations, GTM Operations, or Business Operations in a high-growth SaaS company.
  • 2+ years in people management, with a track record of growing and developing operational teams.
  • Deep experience across the GTM funnel (Sales, Marketing, Customer Success) with strong analytical and strategic acumen.
  • Proficiency in GTM tools and systems (Gong, HubSpot, Salesforce or similar CRM, ChurnZero, CPQ, analytics platforms).
  • Proven success in building scalable processes, aligning cross-functional teams, and driving measurable impact.
  • Exceptional communication, collaboration, and change management skills.

This is a unique opportunity to join a startup that has a meaningful impact on thousands' well-being and mental health.
We have

  • A product that positively impacts people's lives every single day.
  • A team of amazing people with a shared vision and the infinite drive to make it happen
  • The base pay range for this position is $170,000-200,000 per year. The determination of what a specific employee in this job classification is paid depends on several factors, including, but not limited to, prior employment history/job-related knowledge, qualifications and skills, length of service, and geographic location.
  • In addition to your compensation, we offer wide and generous health benefits, significant equity and 401(k) plans matched to 4%
  • Flexible PTO + Additional mental health days off you can take any given moment simply because you need them.
  • Fully remote work environment
  • Opportunity to build, grow, and become highly instrumental in shaping how technology can increase the effectiveness of therapy.

What you need to know about the Austin Tech Scene

Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.

Key Facts About Austin Tech

  • Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
  • Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
  • Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
  • Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
  • Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center

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