Sales Engineer, AI Infrastructure — Equity & Impact

Lavendo, Inc.; San Francisco (CA); On-site; USD 143,000 - 199,000; Full time

Benefits offered by this job

Employer-paid medical, dental, vision

401(k) and pre-tax benefits

Paid parental leave

Learning and development budget

Sabbatical after 4 years

Job summary

Lavendo, Inc. partners with startups and high-growth companies to hire top-tier sales, GTM, and technical talent. As a Sales Engineer for our client, you will own the technical side of deals from discovery to production, balancing pre-sales and implementation while collaborating with VPs and founders to shape the product.

Expect strong ownership and direct impact. You bring 3–7 years in pre-sales or solutions engineering, hands-on experience with LLMs and AI data pipelines, and the ability to

Qualifications

• 3–7 years in pre-sales engineering or solutions engineering at a dev tools/API/data infra company.
• Built and delivered POCs for enterprise prospects.
• Hands-on experience building with LLMs, RAG, agents, or AI data pipelines.

Responsibilities

• Run full technical sales cycle: discovery, architecture, live demos, POCs.
• Demonstrate how the product solves customer problems hands-on.
• Build technical proposals strong enough to turn interest into deals.
• Answer hard technical questions and involve engineering when needed.
• Bridge customer feedback to product and engineering.

Skills

pre-sales engineering

LLM knowledge

solutions architecture

customer ROI discussion

hands-on demos/POCs

enterprise prospecting

Tools

API integration

LLM platforms

Job description

Lavendo, Inc. partners with startups and high-growth companies to hire top-tier sales, GTM, and technical talent. As a Sales Engineer for our client, you will own the technical side of deals from discovery to production, balancing pre-sales and implementation while collaborating with VPs and founders to shape the product.

Expect strong ownership and direct impact. You bring 3–7 years in pre-sales or solutions engineering, hands-on experience with LLMs and AI data pipelines, and the ability to