Sales Engineer
People Culture Talent · San Francisco, CA
- On site
- Full-time
- $120,000 / year
- San Francisco, CA
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Subject: Interested in the Sales Engineer role at People Culture Talent
Hi Dana — I came across the Sales Engineer opening and wanted to reach out directly. I've spent the last few years doing exactly this kind of work, and People Culture Talent stood out because…
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Job highlights
- Sales Engineer role in AI infrastructure company.
- Partner with Account Executives on technical sales.
- Conduct technical discovery, solution design, and demos.
- Engage with technical buyers like engineers and CTOs.
- Opportunity to shape AI collaboration with a strong team.
About the role
Sales Engineer
We are recruiting on behalf of our valued client. This opportunity is for a position with their organization, not with People Culture Talent. We're excited to help connect talented professionals with this exceptional team!
The Role
We're hiring a Sales Engineer to be the technical core of a GTM team that sells a complex, infrastructure level product to buyers who know exactly what they're evaluating. The buyers here are engineers, CTOs, and product leaders. Demos are technical. Evaluations go deep. You'll partner closely with Account Executives to move deals forward, owning the technical side of the sales process from discovery through proof-of-concept and close.
What You’ll Own
- Technical Discovery — Go deep with prospective customers on their architecture, workflows, and integration requirements.
- Solution Design — Build tailored approaches that map the platform's capabilities to specific customer challenges.
- Product Demonstrations — Lead technical demos and proof-of-concept engagements.
- Technical Evaluation Support — Guide customers through architecture reviews, security discussions, and implementation planning.
- Sales Partnership — Work side-by-side with AEs throughout the sales cycle.
- Customer Advocacy — Bring what you hear in evaluations back to product and engineering.
- Enablement & Documentation — Build demo environments, technical resources, and sales enablement materials.
What You’ll Bring
- 3+ years in sales engineering, solutions engineering, or a similar customer-facing technical role
- Deep familiarity with APIs, integrations, cloud infrastructure, and modern software architecture
- Experience engaging directly with technical buyers — engineers, product leaders, IT stakeholders
- Strong presentation skills. You can hold a room of engineers and make them lean in
- Experience running technical evaluations and POCs through enterprise sales cycles
- A consultative instinct. You diagnose before you pitch
- Experience with developer tools, infrastructure software, AI products, or enterprise platforms is a strong plus
About Our Client
This venture-backed AI infrastructure company is developing the connectivity layer that enables AI platforms and B2B software to take meaningful action within the systems businesses rely on. The founding team brings experience from Google, Meta, and AWS. The team is small, retention rates are exceptional, and the technical standards are high. This is an excellent opportunity for professionals who are excited about meaningful ownership and the chance to help shape the future of collaboration between businesses and AI.
Key skills/competency
- Sales Engineering
- Solutions Engineering
- Technical Discovery
- Solution Design
- Product Demonstrations
- Technical Evaluation Support
- Sales Partnership
- Customer Advocacy
- Enablement & Documentation
- AI Infrastructure
Skills & topics
- Sales Engineer
- Solutions Engineer
- Technical Sales
- API
- Integrations
- Cloud Infrastructure
- Software Architecture
- AI
- Proof of Concept
- Customer Engagement
- Venture Back
- Startup
How to get hired
- Tailor your resume: Highlight your 3+ years in sales engineering, API/integration experience, and cloud/software architecture knowledge.
- Showcase technical expertise: Emphasize your experience with technical buyers, presentations, evaluations, and POCs.
- Demonstrate consultative skills: Provide examples of diagnosing customer needs before pitching solutions.
- Align with company values: Research the AI infrastructure company's mission and the founding team's background from Google, Meta, and AWS.
- Prepare for technical interviews: Be ready to discuss complex architecture, integrations, and AI products.
Technical preparation
Behavioral questions
Frequently asked questions
- What is the primary focus of the Sales Engineer role at this AI infrastructure company?
- The Sales Engineer will be the technical core of the Go-To-Market team, focusing on selling a complex infrastructure-level product to technical buyers such as engineers and CTOs. This involves owning the technical aspects of the sales process from discovery through proof-of-concept and closing deals.
- What are the key responsibilities for a Sales Engineer in this position?
- Key responsibilities include conducting technical discovery, designing tailored solutions, leading product demonstrations and proof-of-concept engagements, supporting technical evaluations and security discussions, partnering with Account Executives, acting as a customer advocate to product/engineering teams, and creating enablement materials.
- What kind of technical background is required for this Sales Engineer role?
- Candidates need at least 3 years of experience in sales engineering or a similar role, with deep familiarity with APIs, integrations, cloud infrastructure, and modern software architecture. Experience with developer tools, infrastructure software, AI products, or enterprise platforms is a strong plus.
- How does this Sales Engineer position contribute to the company's product development?
- The Sales Engineer acts as a crucial customer advocate. They bring insights and feedback gathered from technical evaluations and customer interactions directly back to the product and engineering teams, influencing future development and roadmap decisions.
- What makes this opportunity unique compared to other Sales Engineer roles?
- This role is with a venture-backed AI infrastructure company founded by experienced professionals from Google, Meta, and AWS. The team is small with high retention and technical standards, offering significant ownership and the chance to shape the future of AI integration in business systems.
- How should I prepare for the interview process for the Sales Engineer position?
- Prepare to showcase your technical depth in APIs, cloud infrastructure, and software architecture. Be ready to demonstrate your ability to engage with technical buyers, lead deep-dive demos, and articulate solutions clearly. Understanding of AI infrastructure and enterprise platforms will be beneficial.
- Is this a remote or on-site Sales Engineer position?
- The job description does not explicitly state the work arrangement. However, given the emphasis on partnership with Account Executives and a small, high-standard team, it is likely to be either on-site or hybrid, with a strong preference for collaboration.