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Watershed logo

GTM operations, customer

Posted 2 months ago

OfficeNew York City154k - 188k USD

About Watershed

Watershed is the enterprise sustainability platform. Companies like Airbnb, Carlyle Group, FedEx, Visa, and Dr. Martens use Watershed to manage climate and ESG data, produce audit-ready metrics for voluntary and regulatory reporting including CSRD, and drive real decarbonization. We are looking for team members who love product-building, want to work hard at a mission-oriented startup, and will collaborate with us in shaping the culture of a growing team.

We have offices in San Francisco, New York, Denver, London, Paris, Berlin, Sydney, Mexico City, and remote team members across the US and Europe. We hope that you'll be interested in joining us!

The role

Watershed is on a mission to help companies measure, reduce, remove, and report their emissions. We're looking for a strategic operator to join GTM Operations, focused on our Customer organization, which runs the programs that deliver on that mission for hundreds of enterprise customers.

You'll partner closely with Customer leadership to design and build the operational backbone for Customer Success, Advisory, and Support - including engagement models, scalable systems, whitespace, forecasting, and AI-driven workflows our team relies on to deliver for customers.

This is a role for a builder - someone who ships what they design and has already rewired their day around AI. You'll have real scope to define what modern Customer operations looks like at Watershed, and leadership will expect you to push the function forward.

Success means a Customer organization where leadership trusts the retention forecast, customer health scoring actually changes decisions, and AI is embedded in how the team operates day-to-day. You'll own the pace at which these things land.

This role can be based in our New York or San Francisco offices.

You will:

  • Partner with Customer leadership to design scalable operating models for the Customer organization, including:

    • Organizational design and customer engagement models

    • Target setting and performance frameworks

    • Headcount, capacity planning, and segmentation

  • Build the data infrastructure that gives leadership real-time visibility into retention, expansion, product adoption, customer health, and team performance. Combine CRM, product usage, and operational data to surface risks and opportunities, partnering closely with Data and Systems teams to ship.

  • Own retention forecasting and predictive analytics from the ground up - methodology, models, and operating cadences that leadership actually trusts.

  • Ship AI-first operational workflows across the customer lifecycle - post-sale handoffs, onboarding, ongoing engagement, and renewal motions - and the internal tooling that changes how the team operates day-to-day.

  • Run core Customer operating cadences with leadership - forecasting reviews, customer performance reviews, QBRs, and planning cycles - and drive the cross-functional initiatives that sharpen implementation, retention, and expansion.

The ideal candidate brings:

  • You've spent time inside a customer-facing GTM function (CS, Implementation, Support, CSM leadership). You know what it's like to own a retention number, diagnose churn risk, or deliver on a customer commitment.

  • 5+ years in a customer-side GTM operations or leadership role (Customer Ops, CS Ops, or adjacent functions) at high-growth B2B SaaS or AI companies. Revenue Ops or Sales Ops backgrounds welcome if paired with real customer-side operating depth.

  • You're hands-on with Salesforce (Flow, validation, data model), SQL, and BI tools like Sigma or Looker. You're able to build your own systems and partner with GTM Engineering on the bigger lifts.

  • AI is already embedded in how you work, and you have a point of view on where it changes how Customer and GTM teams operate. Experience with Claude Code, Cursor, Clay, or similar is a strong plus.

  • Track record of shipping hard things end-to-end under real pressure. Direct, demanding of yourself, and comfortable driving alignment across Customer, Product, Data, Sales, and Finance when teams disagree.

Must be willing to work from an office 4 days per week (except for remote roles)

Watershed has hub offices in San Francisco, New York, London, and Mexico City and satellite offices in Denver, Sydney, Paris, and Berlin. Where we have offices, employees are expected to be in office for 4 days per week. Certain jobs are open to being remote and will be specifically noted on the jobs page and in the job description if so.

What’s the interview process like?

It starts the same for every candidate: getting to know the team members through 1 to 2 conversations about Watershed, your experience, and your interests. Next steps can vary by role, but usual next steps are a skill or experience interview (e.g. a coding interview for an engineer, a portfolio review for a designer, deeper experience call for other roles) which leads to a virtual or in person interview panel. We prioritize transparency and lack of surprise throughout the process.

What if I need accommodations for my interview?

At Watershed, we are dedicated to ensuring an inclusive recruitment process. We provide reasonable accommodations for candidates with disabilities, long-term conditions, mental health needs, religious observances, neurodivergence, or pregnancy-related support requirements. If you need assistance during your process, please contact your recruiter.

Job details
Workplace
Office
Location
New York City
Salary
154k - 188k USD
per year

Watershed is the leading enterprise sustainability AI platform. Manage your sustainability data, meet sustainability reporting requirements and take action to reduce your impact — starting now.

Employees
625
Industry
Climate Data and Analytics
Headquarters
San Francisco, CA
Founded
2019
Company location
San Francisco, CA
Specialties
ESG, decarbonization, scope 3, AI, CSRD, California Climate Disclosures, ISSB, and Financed Emissions

Key team members

Mike Smith

Mike Smith

Lorenzo Montesi

Lorenzo Montesi

Chris Degnan

Chris Degnan

Patrick Burke

Patrick Burke

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