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Sales Engineering Manager, High Growth

Job in San Francisco, San Francisco County, California, 94199, USA
Listing for: Sierra
Full Time position
Listed on 2026-10-14
Job specializations:
  • Sales
  • Management
Salary/Wage Range or Industry Benchmark: 180000 - 260000 USD Yearly USD 180000.00 260000.00 YEAR
Job Description & How to Apply Below
About us

Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and Soft Bank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia.

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 a commitment to balancing Family along the way. 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 and Clay Bavor. 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
  • Scale The Function: Lead, coach, and develop a high-caliber SE team, providing guidance, assigning projects and ensuring technical excellence. Conduct regular performance evaluations, foster professional growth, and coach team members to reach their full potential.

  • Player-Coach: Be a true player-coach who stays in the work: own your own enterprise deals as an individual contributor, running discovery, demos, and technical deep dives alongside your team, while leading and growing a team of high-growth enterprise SEs. Set the bar by example, jump into the most strategic cycles, and turn what you learn in the field into coaching and playbooks that raise the whole team.

    As the team grows, become a strategic leader and more manager focused.

  • GTM Technical Expert: Guide your team in designing and delivering compelling technical demos and proofs of concept for Sierra’s platform, providing technical solutions to customer challenges, and addressing technical questions throughout the sales cycle.

  • Cross-Functional Work: Partner closely with Sales, Product, and Agent Engineering teams to define best practices, playbooks, and repeatable processes that enable your team and partnership to scale beyond 1:1 customer interactions.

  • Lead & Support Customers: Act as a technical leader in early-stage customer conversations, helping your team understand, anticipate, and solve customer needs to advance Sierra’s industry-leading AI solutions.

What you'll bring
  • 5-7+ years of experience in Sales Engineering, Solutions Engineering, or customer-facing technical sales, with at least 3+ years in a leadership capacity.

  • Experience developing frameworks for how SEs partner with Sales, Product, and Engineering to deliver impact efficiently across accounts.

  • History of establishing metrics and systems that measure SE impact on pipeline health, win rates, and customer adoption.

  • Track record of leading presales processes and supporting enterprise and strategic sales cycles from discovery through close.

  • Ability to translate customer business problems into Sierra’s technical solutions and clearly communicate to both technical and non-technical stakeholders across complex organizations.

Even Better
  • Experience building Sales Engineering orgs in emerging categories (e.g., AI, data, security).

  • Comfort with workflows, AI and ML concepts, APIs/webhooks, and JSON.

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…

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