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Sierra

Enterprise Sales Engineer, Consumer Business Services

San Francisco, CA$160k–$270kfulltimemidAdded today

About this role

Sierra seeks an Enterprise Sales Engineer to lead technical pre-sales for AI agent solutions across consumer-facing industries like CPG, logistics, and utilities. You'll scope customer use cases, design demos, conduct technical reviews, and partner with sales and product teams to drive adoption of Sierra's platform among enterprise clients.

What you'll do

  • Own end-to-end technical pre-sales process including use case scoping, business value articulation, and solution design
  • Build and deliver compelling product demos tailored to customer needs and technical requirements
  • Lead technical and architecture reviews with enterprise customers and stakeholders
  • Collaborate with Sales, Product, and Agent Engineering teams on GTM strategy and product improvements
  • Establish and nurture relationships with C-suite and technical leaders at target accounts
  • Translate business problems into Sierra's AI agent capabilities for both technical and non-technical audiences

What they're looking for

  • Sales Engineering or Solutions Engineering
  • Enterprise software demo and presentation
  • Technical requirements gathering and solution design
  • AI tools proficiency (discovery, prototyping, proposal building)
  • Executive and technical stakeholder communication
  • Business acumen across CPG, logistics, real estate, and industrial verticals
  • Product-to-engineering requirement translation
  • Relationship building and consultative selling
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Sierra

Sierra builds production-grade AI agents for enterprise clients in insurance, financial services, and other industries, enabling companies to automate complex business processes and enhance customer experiences. The company is hiring Software Engineers to design and deploy mission-critical AI systems, develop platform infrastructure, and work directly with enterprise customers on agent development and optimization.

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Likely interview questions

  • Walk us through your most complex enterprise sales cycle—how did you identify and address the customer's technical blockers?
  • Describe a time you used AI tools in your sales process. How did you ensure accuracy and maintain ownership of the final output?
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