Original listing text, shown exactly as published by the company.
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
