Sales Engineer, AI Infrastructure

Lavendo

. Own the technical side of serious deals from discovery through architecture, demos, POCs, implementation, and production .

Posted 9/24/2026full-timeSan Francisco • California • United StatesMid-LevelSenior💰 $143,000 - $199,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in pre-sales engineering and solutions engineering, with a strong focus on building and delivering POCs for enterprise prospects. Possesses hands-on experience with LLMs, RAG, agents, and AI data pipelines, along with the ability to engage in technical discussions with both customers and engineering teams.

Highest-signal resume keywords

Pre-Sales EngineeringSolutions EngineeringBuilding POCsAI Data PipelinesTechnical Sales Cycle

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Building POCsReading CodeWriting CodeUsing APIsDiscussing ArchitectureShipped AI-Native ProjectClosed Deals

Soft Skills

Customer ConversationsOwnership Over Deal OutcomesGenuine Energy

Tools & Technologies

LLMsRAGAgents

Industry Keywords

Dev ToolsAPIData InfrastructureEnterprise Prospects

About the role

Key responsibilities & impact

Own the technical side of serious deals from discovery through architecture, demos, POCs, implementation, and production
Run the full technical sales cycle
Meet customers and demonstrate hands-on how the product solves their problems
Build POCs and technical proposals that convert prospects into signed customers
Answer complex technical questions and involve engineering when needed
Relay prospect feedback to product and engineering
Split time approximately 50/50 between pre-sales and implementation
Report to the VP of Revenue and Success with direct access to founders
Work on a technical deal scenario during the paid work trial

Requirements

What you’ll need

3-7 years in pre-sales engineering or solutions engineering at a dev tools, API, or data infra company, as an individual contributor
Built and delivered POCs for enterprise prospects independently
Hands-on experience building with LLMs, RAG, agents, or AI data pipelines
Ability to read and write code and use an API independently
Ability to discuss architecture with engineers and ROI with VPs
Genuine energy for customer conversations and ownership over deal outcomes
Authorized to work in the US already; US citizens or Green Card holders; no visa sponsorship
Shipped AI-native project, preferably with a public repository
Closed deal that the candidate can size and explain their role in
Ability to participate in a paid 1–2 week work trial

Benefits

Comp & perks

Meaningful equity in a fast-growing, well-funded startup
100% employer-paid medical, dental, and vision; 50% for spouse and kids
Employer-paid life, short-term, and long-term disability insurance
401(k)
Pre-tax FSA and commuter benefits
Pet insurance
15+ days PTO
12 weeks fully paid parental leave for moms and dads
$100/month wellness stipend
$1,000/year learning and development budget
3-month paid sabbatical after 4 years
Team offsites twice a year
SF HQ perks
Loaner e-bike for commuting
Remote-friendly paid work trial