Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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$220к-320к/год
$190к$220кмедиана$250к
По похожим ролям (47) ~ $220к/год
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Хорошая вакансия
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В роли много самостоятельной работы в хорошо финансируемом AI-стартапе, но сочетание разработки и работы с клиентами, а также обязательное присутствие в офисе пять дней в неделю требуют заранее оценить формат повседневной работы.
Офис каждый день
?Широкая зона задач
Актуальная область
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Современный стек
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Forward Deployed Engineer, Enterprise Document AI (SF) (Enterprise Document AI): Building customer applications, integrations, evaluation tools, and deployment diagnostics for an API-based platform that turns complex documents into structured data with an accent on production reliability, enterprise integrations, and customer-specific constraints. Focus on owning technical deployments, debugging performance regressions, and translating customer requirements into product and engineering improvements.
Location: San Francisco; full-time, in-person work five days per week
Salary: $220,000–$320,000 annual salary, plus equity.
Company
Series B, founder-led enterprise AI startup building API infrastructure that converts PDFs, images, spreadsheets, and other unstructured files into reliable, structured data for production AI applications.
What you will do
Turn enterprise customer requirements into working applications, integrations, agents, evaluation tools, and product enhancements.
Partner with account executives and sales engineers on technical evaluations, custom demos, and competitive benchmarking.
Own technical success for 1–3 enterprise accounts, including regular customer meetings, deployment support, troubleshooting, and adoption expansion.
Build diagnostics, dashboards, and evaluation harnesses to measure performance and detect regressions.
Explain technical decisions and trade-offs to customer stakeholders and translate customer insights into product improvements and engineering priorities.
Requirements
3+ years of full-time production engineering experience shipping software for enterprise customers.
Experience at a recognizable, high-growth startup with strong engineering standards.
Independent ownership of building, deploying, and supporting production applications or AI pipelines.
Strong production-level Python and engineering fundamentals.
Solid understanding of AI, LLMs, and machine learning concepts.
Experience using Claude, Codex, or similar coding tools beyond autocomplete, guided by sound technical judgment.
Enterprise deployment experience spanning integrations, troubleshooting, and customer-specific constraints.
Clear communication, confidence leading technical customer conversations, and a quantitative approach to debugging, experimentation, and performance measurement.
Willingness to work on-site in San Francisco five days per week.
Nice to have
Backend-leaning engineering experience or prior customer-facing forward deployed engineering experience.
Culture & Benefits
Founder-led, engineering-first environment with close collaboration across product, sales, engineering, and customer success.
Direct influence on the developing forward deployed engineering function, platform improvements, and enterprise deployment practices.
Medical, dental, and vision insurance; unlimited PTO; flexible parental leave; and up to $150/month in eligible wellness reimbursement.
Daily office lunch and reimbursed transportation.
Visa transfers, including OPT and H1B transfers, and visa sponsorship are available.
Hiring process
HR screening followed by a hiring manager screen and 30-minute technical interview with live Python coding.
On-site practical assessment: build a relevant application, emphasizing engineering depth or technical presentation and customer communication.
Offer extended after the assessment process.
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