True Talent Solutions Partners logo
Salary
$200K–$320K
USD per year
Hiring from
United States
Work type
Remote
Posted
Oct 2, 2026
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About the Role

Join a product engineering team building AI capabilities for B2B marketing and data workflows. You will prototype new ideas and build production-ready AI systems that help users turn customer data into useful insights and actions.

What You'll Do

  • Rapidly prototype and evaluate AI applications for data and marketing workflows.

  • Partner with a small team to develop and ship new product ideas from early exploration through production.

  • Choose and evolve AI architectures and frameworks, assessing where different models and methods work well.

  • Build production data agents that use customer data to answer analytics and data science questions.

  • Design AI-assisted experiences around real user workflows.

  • Develop backend services, APIs, and data pipelines with attention to security, privacy, and reliability.

What We're Looking For

  • At least 4 years of professional software engineering experience and strong backend engineering skills.

  • Proficiency in TypeScript and experience building production backend services with Node.js.

  • Experience implementing LLM, machine learning, or data-driven product features, including complex AI applications beyond basic chatbots or retrieval systems.

  • Experience integrating data sources such as SQL databases, data warehouses, and APIs.

  • Experience with a cloud platform, Docker, CI/CD, testing, code reviews, and maintainable production code.

  • Strong computer science or quantitative fundamentals, including relevant AI or machine learning coursework.

  • Product engineering experience, ideally as an early engineer or founder building products from inception through iteration in a high-velocity startup environment.

Compensation & Benefits

Base salary range: $200,000 to $320,000 USD annually. Candidates must be authorized to work in the United States without company-sponsored visa support.

Location

Remote within the United States, with occasional in-office presence in the San Francisco Bay Area.

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