AI‑Driven GTM Ops Leader — Sustainability Advisory

Watershed

San Francisco (CA)

On-site

USD 100,000 - 140,000

Full time

14 days+
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Job summary

Watershed is seeking a strategic operator in San Francisco to bolster its Sustainability Advisory & Services team, collaborating on decarbonization projects and enhancing operational efficiency.

The role entails building staffing models, improving delivery processes, and leveraging AI-driven workflows. The ideal candidate has 5-7 years in consulting or operations, excels in data analysis, and is ready to contribute to a mission-oriented startup.

This position requires in-office presence 4 days a week, fostering a collaborative work environment.

Qualifications

  • 5-7 years in management consulting or operations at a high-growth B2B SaaS company.
  • Proven success in driving operational excellence and building repeatable systems.
  • Hands-on experience with Salesforce, SQL, and BI tools.

Responsibilities

  • Build the staffing models that turn business data into resourcing recommendations.
  • Own the dashboards that track the health of the services business.
  • Ship AI-first operational workflows and internal tooling.
  • Run the operating cadence for cross-team execution.
  • Design and improve delivery processes to ensure high quality.
  • Drive the strategic planning process and lead complex initiatives.
  • Partner with leadership to drive key decisions and deliver against KPIs.

Skills

Management consulting experience
Data analysis expertise
Operational excellence
Salesforce proficiency
Strong communication skills

Tools

SQL
BI tools (Sigma, Looker)
AI tools (Claude Code, Cursor)

Job description

Watershed is seeking a strategic operator in San Francisco to bolster its Sustainability Advisory & Services team, collaborating on decarbonization projects and enhancing operational efficiency.

The role entails building staffing models, improving delivery processes, and leveraging AI-driven workflows. The ideal candidate has 5-7 years in consulting or operations, excels in data analysis, and is ready to contribute to a mission-oriented startup.

This position requires in-office presence 4 days a week, fostering a collaborative work environment.

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