Solutions Engineer, Data Infrastructure (SF)

Lavendo partners with startups and high‑growth companies to help them hire top‑tier sales, go‑to‑market, and technical talent. This role is with one of our clients; we’ll share full details about the company and interview process as we get to know you and confirm mutual fit.

About the Company

Our client is a YC-backed AI startup solving one of enterprise data's most stubborn problems: getting accurate, structured information out of complex documents at scale. Their breakthrough platform combines intelligent schema mapping with fine-tuned extraction models — doing what legacy OCR and traditional parsing tools consistently fail to do. They're processing over 1 billion pages for Fortune 50 companies and top global private equity firms, backed by Sequoia Scout, Y Combinator, Daniel Gross, and Nat Friedman.

The Mission

To become the document intelligence layer that the world's most sophisticated enterprises run on — where every complex, unstructured document becomes reliable, structured data.

The Opportunity

This isn't a support role dressed up as Solutions Engineering. You'll be the technical anchor of every enterprise deal — owning discovery, demos, pilots, and production deployments end-to-end, working shoulder-to-shoulder with AEs and directly alongside the founders. At a 33-person company with real enterprise traction, your fingerprints will be on every major customer win.

Tech stack: Python, Kubernetes, APIs, Distributed Systems, AWS, GCP, Azure, Docker, Helm, Terraform

What You'll Do

• Own all technical touchpoints in the sales cycle — discovery, demos, proof-of-concept evaluations, and production rollouts

• Deploy and configure extraction pipelines inside customer environments, from pilots through to enterprise-scale production

• Diagnose and resolve accuracy, latency, and infrastructure issues across distributed systems — be the person customers trust when things get hard

• Build Python tooling and customer-facing utilities to support integrations and downstream workflows

• Sit at the intersection of customer, ML, platform, and product — funnel real signal back into the roadmap

What You Bring

• 3–7 years in a customer-facing technical role — Solutions Engineer, Forward Deployed Engineer, or Implementation Engineer at a technical SaaS company (not a simple SaaS; your customers had real infrastructure questions)

• Early-stage startup experience (Seed–Series B); Big Tech background considered only if paired with genuine startup and B2B-focused experience

• Solid grip on sales methodology — MEDDIC, Command of the Message, or equivalent; you know how deals get stuck and how to unstick them

• Hands-on with APIs, distributed systems, and production infrastructure; Kubernetes experience is a strong plus

• Proficient in Python — you write tools, not just read them

• Background in data infrastructure, ML platforms, or document processing is a meaningful plus

• Must not require visa sponsorship — the company cannot sponsor at this stage

Key Success Drivers

• You're technical and customer-obsessed — you can go deep on infrastructure in one conversation and then translate it into business value in the next

• You run toward ambiguity — early-stage means the playbook isn't written yet; you're comfortable writing it

• You stay in the customer lane — your career shows consistent commitment to customer-facing roles; pivots to pure engineering signal the wrong fit

• You have a builder's instinct — deploying pipelines and writing integration code feels natural, not foreign

• You care about what you're selling — document intelligence, computer vision, NLP, and data infrastructure genuinely excite you

Why Join?

• Tier-1 conviction from day one: Backed by Sequoia Scout, Y Combinator, Daniel Gross, and Nat Friedman — the investor syndicate that bets on category winners

• This is a proven platform, not a bet: Already processing 1B+ pages for Fortune 50 enterprises and leading global PE firms; real revenue, real customers, real scale

• Small team, real ownership: 33 people means direct founder access and outsized impact — you're not a ticket in a queue

• Compensation that reflects the role: $125K–$155K base, OTE $180K–$220K, competitive equity, and performance bonus

• Full benefits: Medical, vision, and dental; daily meal stipend; relocation assistance for Bay Area moves

Interviewing Process

• HR Screen

• Interview with Hiring Manager

• Technical Interview with CTO

• Take-Home Exercise

• Offer

At Lavendo, we partner with clients who care about building high‑performing, inclusive teams, and we hold ourselves to the same standard. We are proud to be an equal opportunity workplace and consider all qualified applicants without regard to race, color, religion, national origin, age, sex, marital status, ancestry, disability, genetic information, veteran or military status, gender identity or expression, sexual orientation, or any other characteristic protected by law.

Compensation Range: $180K - $220K

Originally posted on Himalayas