F

Fin

AI-powered customer experience agent platform

Senior Product Engineer - AI

AI Application EngineeringConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • The posting indicates that listed profile criteria are indicative rather than hard requirements.
  • At least 5 years of experience shipping high-quality products.
  • No machine-learning experience is required; candidates should have strong software engineering skills and be willing to learn machine learning on the team.
  • Demonstrated significant impact in prior work.
  • Strong technical fundamentals and willingness to invest in professional development.
  • Deep knowledge of a high-level programming language, such as Ruby, Python, or JavaScript; the language need not match the team's current stack.
  • A Bachelor of Science in Computer Science, Mathematics, Statistics, or a related discipline.

Responsibilities

  • Build systems that power Fin's flagship AI products, typically using its machine-learning Python technology stack and sometimes working in the Rails application.
  • Work with machine-learning scientists to bring proof-of-concept code into production and ensure it is robust and scalable for real-world use.
  • Partner with product teams outside the AI Group to shape the AI-powered product experience for customers.
  • Contribute to all phases of software development, including ideation, prototyping, implementation, and testing.
  • Participate actively in hiring, mentoring, and career development of other engineers.
  • Raise technical standards for performance, reliability, and operational excellence within the group and across Fin.

Desired Qualifications

  • Previous experience in data analytics or a statistical role.

About the Company

Fin

AI-powered customer experience agent platform

Fin builds AI software for customer experience, featuring Fin, an AI agent that engages customers across service, sales, and ecommerce, and Intercom, a helper desk platform for human-assisted support. The Fin agent works through voice, chat, email, social channels, and Slack, performing multi-step tasks like updating accounts, processing refunds, or troubleshooting via its API, data connectors, and MCP, with Fin Operator monitoring and tuning for ops teams. It runs on proprietary Apex models trained for customer service and integrates with tools like Salesforce, HubSpot, and Freshdesk, alongside native Intercom workflows. Fin charges on outcome-based pricing per resolution, serves more than 12,000 customers, and was acquired by Salesforce in 2026 to continue growing in the AI customer-service space.

Company size
1,001-5,000
Company stage
Acquired
Total funding
$490.8M
Headquarters
San Francisco, CA
Founded
2011

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