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
