Sierra

Sierra

GTM Operations, Agent Development Enablement

San Francisco, CA · Mid · Full-time

Sponsorship not specifiedDetected 87 days ago
SalesforceAR/VRCommunication

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odds of building a lasting career here

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Cap-exempt (no lottery)0
Sponsors this role90
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70

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Employer immigration record

from this employer's Department of Labor filings

Files H-1B transfers

23 transfer filings in the last year, covering 23 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

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About the role

  • 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.
  • Bret was also one of Google's earliest product managers and co-creator of Google Maps.

Responsibilities

  • Drive productivity across Agent Development: Identify what's slowing the team down, build metrics to measure it, and ship changes that increase productivity.
  • Drive adoption through pilots and usage tracking, and program-manage cross-functional initiatives with Agent Dev contributors.
  • Standardize how Agent Development operates: Define, document, and maintain the playbooks and SOPs the team uses day to day, for both internal and external processes.
  • Leverage AI to scale Agent Dev: Identify manual, repeatable work across the team and build AI-native tools and workflows to create operating leverage.
  • Build feedback loops from the field: Capture what's working (and what isn't)across Agent Dev and feed that signal back into onboarding, SOPs, playbooks, and tooling.
  • Own onboarding, ramp, and continuous enablement: Build and improve the onboarding curriculum, ramp plan, and ongoing enablement engine.
  • Strong analytical rigor, with the ability to build metrics and frameworks that make team productivity and ramp progress measurable.
  • Comfort with ambiguity and a fast-changing environment, with the ability to independently structure open-ended problems and drive them to resolution.
  • Strong communication skills, with the ability to influence stakeholders and act as a trusted partner to Agent Dev leadership.
  • Technical fluency and coding comfort: you've 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.

Requirements

  • 3-5 years of experience in management consulting, strategy and operations, or a similar role at a top-tier or high-growth technology company.

Compensation

  • These benefits are further detailed in Sierra's policies, may vary by region, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans.

Benefits

  • We want our benefits to reflect our values and offer the following to full-time employees:
  • Flexible (unlimited) paid time off
  • Medical, dental, and vision benefits for you and your family
  • Life insurance and disability benefits
  • Retirement plan dependent on country of employment
  • Parental leave
  • Fertility and family building benefits through Carrot
  • Discretionary benefit stipend giving people the ability to spend where it matters most
  • These benefits are further detailed in Sierra's policies, may vary by region, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans.
  • Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies.

Company info

  • 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, Madrid, Munich, Singapore, Tokyo, and Sydney.
  • 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.
  • 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, Madrid, Munich, Singapore, Tokyo, and Sydney.
  • 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.
  • Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook.
  • 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.

Visa & Work Authorization

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This listing is sourced directly from Sierra's careers page and normalized into a canonical job model.