Solutions Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Solutions Engineer (AI): Owning the technical aspect of enterprise deals from discovery to production deployment with an accent on extracting structured data from complex documents. Focus on deploying extraction pipelines, resolving distributed systems issues, and building Python-based integration tools.
Location: Must not require visa sponsorship. Relocation assistance available for Bay Area moves.
Compensation: $180,000–$220,000 OTE
Company
YC-backed AI startup processing over 1 billion pages for Fortune 50 companies and global private equity firms.
What you will do
- Own all technical touchpoints in the sales cycle, including discovery, demos, PoCs, and production rollouts.
- Deploy and configure extraction pipelines inside customer environments from pilots to enterprise-scale production.
- Diagnose and resolve accuracy, latency, and infrastructure issues across distributed systems.
- Build Python tooling and customer-facing utilities to support integrations and downstream workflows.
- Collaborate with ML, platform, and product teams to funnel customer signals back into the product roadmap.
Requirements
- 3–7 years in a customer-facing technical role (Solutions or Implementation Engineer) at a technical SaaS company.
- Experience in early-stage startups (Seed–Series B).
- Proficiency in Python and hands-on experience with APIs and distributed systems.
- Solid grip on sales methodologies such as MEDDIC or Command of the Message.
- Must not require visa sponsorship.
Nice to have
- Experience with Kubernetes.
- Background in data infrastructure, ML platforms, or document processing.
Culture & Benefits
- Tier-1 backing from Sequoia Scout, Y Combinator, Daniel Gross, and Nat Friedman.
- High level of ownership and direct access to founders in a small team of 33 people.
- Full medical, vision, and dental insurance.
- Daily meal stipend.
- Relocation assistance for moves to the Bay Area.
Hiring process
- HR Screen.
- Interview with Hiring Manager.
- Technical Interview with CTO.
- Take-Home Exercise.
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