Sales Engineer
People Culture Talent · Hybrid
MeritLog read this listing from People Culture Talent's Ashby job board and last checked it on September 8, 2026.
Source: the employer's Ashby job board. Open the original listing for current details.
Job details
- Work model
- Hybrid
- Salary
- $89K - $205K
- Location
- San Francisco, CA
- Company website
- 43.io
Hiring context
How this role compares at People Culture Talent
People Culture Talent has 15 live roles in MeritLog’s catalog across 5 job families, and 8 of them are in engineering. 11 of those listings publish a pay range, a disclosure rate of 73%.
This role's posted range of $89K - $205K sits above 10% of the 10 other People Culture Talent roles quoted over the same currency and period.
People Culture Talent concentrates this hiring in:
Counted across the job boards MeritLog tracks, at the time this page was served. Pay comparisons use only listings that publish a complete range in the same currency and period.
What the role asks for
What they're asking for
- 3+ years in sales engineering, solutions engineering, or a similar customer-facing technical roleExperience
- Deep familiarity with APIs, integrations, cloud infrastructure, and modern software architectureSkill
- Experience engaging directly with technical buyers - engineers, product leaders, IT stakeholdersSkill
- Strong presentation skills. You can hold a room of engineers and make them lean inSkill
- Experience running technical evaluations and POCs through enterprise sales cyclesSkill
- A consultative instinct. You diagnose before you pitchSkill
- Experience with developer tools, infrastructure software, AI products, or enterprise platforms is a strong plusSkill
Parsed by MeritLog from the employer’s own posting. The full description follows below.
Job description
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.
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