Sales Engineer

People Culture Talent peopleculturetalent.com Open · verified Sep 13, 2026

Hybrid San Francisco Full-time Mid-level Solutions & Sales Engineering

Mid-level Solutions & Sales Engineering role at People Culture Talent. San Francisco · full-time · $89,000–$205,000 base.

SalaryStated by People Culture Talent

$89,000 – $205,000

Base salary for this role, in USD per year, as published in the posting.

Role brief

Growth Roles summary, based on the employer's posting.

What you'll do

You'll investigate prospects' architectures, workflows, and integration needs during technical discovery
You'll design customer-specific solutions that connect platform capabilities to customer challenges
You'll run technical demos, proofs of concept, architecture reviews, and implementation planning
You'll work with account executives across the sales cycle and share evaluation insights with product and engineering
You'll create demo environments, technical resources, and sales enablement materials

What you bring

Bring at least three years in sales engineering, solutions engineering, or a comparable customer-facing technical role
Know APIs, integrations, cloud infrastructure, and modern software architecture in depth
Have experience engaging engineers, product leaders, and IT stakeholders as technical buyers
Show strong presentation skills and experience guiding enterprise evaluations and proofs of concept
Use a consultative approach that diagnoses customer needs before recommending a solution

Who this fits

You'll suit a customer-facing technical seller who can engage engineers, CTOs, and product leaders around a complex infrastructure product. The role is hybrid in San Francisco and sits on a small team at a venture-backed AI infrastructure company. Technical standards are high, and the work includes close partnership with account executives plus feedback for product and engineering.

From the employer

Note: 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.