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1 день назад

Senior Product Engineer (AI)

150 000 - 224 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Senior Product Engineer (Fullstack): Building and optimizing enterprise-grade SaaS software to help organizations maximize AI ROI with an accent on scalable technical solutions and architectural craftsmanship. Focus on developing production code across a Python/React stack, designing data pipelines, and solving complex customer problems in a high-growth environment.

Location: San Francisco, CA

Salary: $150,000–$224,000 + Equity

Company

Enterprise SaaS company helping organizations maximize the business value of their AI investments through economics and data science.

What you will do

  • Own the technical delivery of key product initiatives using Python (FastAPI), React, and Postgres.
  • Partner with the Head of Engineering and CPTO to translate product vision into scalable technical solutions.
  • Design and ship high-quality production code while contributing to architecture and design sessions.
  • Improve engineering practices around testing, observability, deployment, and operational excellence.
  • Collaborate with Product, Design, and Data Science teams to solve complex customer problems.
  • Help shape the platform evolution and contribute to hiring exceptional engineering talent.

Requirements

  • 5+ years of professional software engineering experience owning complex technical projects end-to-end.
  • Strong full-stack development experience, preferably with Python and React.
  • Proficiency in SQL, including relational data reasoning and schema design.
  • Experience building scalable, secure, production-grade SaaS applications.
  • Deep understanding of modern software architecture, APIs, and cloud-native development.
  • Must be based in San Francisco, CA

Nice to have

  • Experience with AWS and modern deployment practices (CI/CD, observability, monitoring).
  • Background in building data-intensive products or analytics platforms.
  • Familiarity with machine learning concepts, statistics, or experimentation.
  • Experience working in early-stage, high-growth SaaS startups.
  • Experience building products for enterprise customers with complex technical environments.

Culture & Benefits

  • Competitive compensation package including equity and health benefits.
  • Collaboration with world-renowned researchers in AI and digital economy.
  • High-trust, high-autonomy work environment.
  • Opportunity to build company culture and products from the ground up.

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