F

Fin

AI-powered customer experience agent platform

Staff Product Engineer

Full-Stack EngineeringConfirmed live in the last 24 hours
Full-timeBerlin, GermanyNo salary listed

About the Job

Requirements

  • Significant, demonstrated impact on products and/or teams is required.
  • Deep knowledge of a high-level programming language, such as Ruby, Python, or Perl, is required; applicants may bring a language not currently used by the company.
  • Experience with distributed systems is required.
  • At least two years of experience as the primary technical leader for a team is required.
  • Experience collaborating directly with product teams and designers, and a proven track record of delivering value to customers or users, is required.

Responsibilities

  • Contribute to the team’s technical architecture as the company scales to serve customer requests.
  • Balance agility with scalability and availability, using continuous deployment and incremental releases, including feature-flagged rollouts.
  • Contribute to all phases of software development, including ideation, prototyping, design, and implementation, combining hands-on development with lead and architecture work.
  • Build using industry tools, including AI-powered developer tools.
  • Play an active role in hiring, mentoring, and career development of other engineers.
  • Raise technical standards for performance, reliability, and operational excellence.

Desired Qualifications

  • Having built a SaaS product in previous roles and enjoying the experience of creating a product used by people around the world is desirable.

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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