Staff Product Engineer, AI

Intercom
Dublin, London
Workplace: HybridFull timeFunction: Data Science & Machine LearningExperience: 10+ yearsEducation: bachelorsSkills: ["Leadership","Mentoring","Communication","Problem-solving","Collaboration"]

Seasoned product-focused software engineer with a strong background in building ML-powered features. You will work in Intercom’s AI Group, collaborating with ML scientists and product teams to prototype and ship AI-powered products, and contribute to all phases of development while mentoring other engineers and lifting technical standards.

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FursaFursa
Intercom
Intercom
9 months ago

Staff Product Engineer, AI

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 2 hours agoStatus: Live
Reposted: similar role first listed 10 months ago

Job Summary

Seasoned product-focused software engineer with a strong background in building ML-powered features. You will work in Intercom’s AI Group, collaborating with ML scientists and product teams to prototype and ship AI-powered products, and contribute to all phases of development while mentoring other engineers and lifting technical standards.
Location: Dublin, London
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning

Key Responsibilities

  • •Build the systems that power Intercom’s flagship AI products, primarily in the ML Python stack and occasionally across the Rails app.
  • •Collaborate with ML Scientists to productionize proof-of-concept code, ensuring robustness and scalability.
  • •Partner with product teams outside the group to shape the AI-powered product experience for customers.
  • •Contribute to all phases of software development, including ideation, prototyping, implementation and testing.
  • •Play an active role in hiring, mentoring, and career development of other engineers.

Pay and Benefits

Equity and Bonus:Equity
Perks:EquityPensionHealth InsuranceDentalLife InsurancePaternity LeaveMaternity LeaveRelocationCycle-to-workLife Assurance

Key Requirements

  • •10+ years of experience shipping high-quality products.
  • •No ML experience required. You can be highly effective immediately by bringing excellent software engineering skills, and learn ML as you work on the team.
  • •Demonstrate significant impact in your past work.
  • •Strong technical fundamentals and a willingness to invest in your development.
  • •Deep knowledge of a high-level programming language (e.g., Ruby, Python, JavaScript).
Experience:10+ yearsAISaaSSoftware
Education:Bachelor's in Computer Science
Skills:LeadershipMentoringCommunicationProblem-solvingCollaboration
Languages:English
Tech Stack:PythonRubyJavaScriptRails

Company Brief

Intercom
Provides a customer messaging platform combining chat, bots, and product tours to help businesses convert, engage, and support customers across their lifecycle. Integrates with CRM and workflow tools for personalized in-app and email communication.
Industry: Enterprise Software
Company Size: Enterprise (1,001+ employees)
Growth: Scaleup
Valuation: Unicorn (USD 1B+)
Funding: Series D
Headquarters: San Francisco, United States
Founded: 2011
WebsiteLinkedIn