GTM Operations Analyst, Agent Development
SierraNew York, NYPosted 11 March 2026
Job Description
GTM Operations Analyst, Agent Development
ABOUT US
- At Sierra, we’re creating a platform to help businesses build better, more human customer experiences with AI. We are primarily an in-person company based in San Francisco, with growing offices in Atlanta, New York, London, Paris, Singapore, and Japan.
- We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and Family. These values are the foundation of our work, and we are committed to upholding them in everything we do.
- Our co-founders are Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace.
WHAT YOU’LL DO
- Support the business of Agent Development: Serve as the strategy and operations partner to Agent Dev leadership, and bring the same operational rigor to Agent Dev that powers our Sales organization.
- Stand up the operating cadence: Partner with Agent Dev leaders to provide clear visibility into business health, including pipeline, deployment progress, utilization, expansion opportunities, and risks.
- Operationalize best practices for enterprise agent deployment: Help define and scale the playbook for how Sierra builds, evaluates, launches, and expands AI agents at large enterprises.
- Drive account expansion strategy: Work closely with account teams to identify whitespace, prioritize expansion opportunities, and build repeatable motions that convert post-sale momentum into durable revenue growth.
- Turn insight into action: Analyze complex datasets and translate findings into clear, executive-ready recommendations that drive high leverage decisions.
- Build internal tooling with AI: Leverage AI-native tools such as Claude Code, Cursor, and Codex to build lightweight internal systems, automate workflows, and create operational leverage across Agent Dev.
WHAT YOU’LL BRING
- 3-5 years of experience in management consulting, investment banking, private equity, or strategy and operations at top-tier technology companies.
- Strong analytical rigor with the ability to work with large datasets and translate analysis into executive-ready insights and clear business actions.
- Demonstrated experience supporting sales, post-sales, or commercial teams in a strategy and operations capacity.
- Comfort with ambiguity and fast-changing environments, with the ability to independently structure complex problems and drive them to resolution.
- Commercial instinct and business judgment, with a clear understanding of how enterprise technology products are landed, deployed, and expanded.
- Strong communication skills, with the ability to influence senior stakeholders and act as a trusted advisor.
- A growth mindset, coachability, and willingness to roll up your sleeves. No task is too small if it helps the team win.
EVEN BETTER...
- Technical fluency and coding comfort: You have built apps or internal tools before and can confidently use AI coding tools such as Claude Code, Cursor, or Codex to create production-ready internal solutions.
- Previous 0-1 operating experience at a growth stage technology company.
OUR VALUES
- Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to ... (truncated, view full listing at source)
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