Senior Manager, Forward-Deployed Data Science

Intercom is the AI Customer Service company on a mission to help businesses provide incredible customer experiences.

Our AI agent Fin, the most advanced customer service AI agent on the market, lets businesses deliver always-on, impeccable customer service and ultimately transform their customer experiences for the better. Fin can also be combined with our Helpdesk to become a complete solution called the Intercom Customer Service Suite, which provides AI enhanced support for the more complex or high touch queries that require a human agent.

Founded in 2011 and trusted by nearly 30,000 global businesses, Intercom is setting the new standard for customer service. Driven by our core values, we push boundaries, build with speed and intensity, and consistently deliver incredible value to our customers.

The Research, Analytics & Data Science (RAD) team at Intercom uses data and insights to drive evidence-based decision-making. We're a team of data scientists and product researchers who use data to unlock actionable insights about our customers, our products and our business. We generate insights that build customer empathy, drive product strategy and shape products that deliver real value to our customers.

We’re now expanding our forward-deployed motion to meet growing demand from our most strategic customers. As a Senior Manager, Forward-Deployed Data Science, you’ll lead a team of Forward Deployed Data Scientists who focus on high-impact technical engagements that shape how customers adopt, deploy, and scale Fin. You will act as a strategic partner to customer executives, GTM leadership, and product teams.

This is a high-ownership role for someone who thrives in ambiguous environments, is energized by solving complex, real-world problems with data, and is motivated by seeing their work translate into both customer impact and product evolution. This role operates as a player-coach - leading strategic engagements firsthand while developing the team’s capabilities and patterns for success.

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• Drive the adoption of Fin by helping customers automate and scale their support operations.
  
• Embed with strategic customers to understand their support workflows, data, and business challenges - to identify and implement opportunities where AI can deliver measurable impact.
  
• Steer customers toward best practices in measurement and AI adoption to realize the full value of Fin.
  
• Partner closely with Sales, Success, and Product to deliver seamless customer experiences and successful deployments, and to create feedback loops that shape product development.
  
• Use AI to prototype, test, and scale data-driven solutions, building tools that make us faster and more effective in driving Fin adoption and customer impact.
  

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• Proven ability to drive strategic, data-driven outcomes in complex, real-world business environments - ideally in customer-facing or enterprise contexts.
  
• Strong leadership in ambiguous, high-stakes environments - able to set strategy, prioritize, and guide a team through fast-evolving challenges and opportunities.
  
• Deep customer empathy and executive communication skills, with the ability to influence senior stakeholders, guide AI adoption strategy, and simplify complexity.
  
• Track record of building and scaling technical solutions using AI/ML, especially in areas like LLM applications, conversational AI, or intelligent automation.
  
• Strong SQL and fluency in Python/R, with experience applying analytical, statistical, and AI/ML techniques to business problems.
  
• Experience evaluating and deploying LLM-driven or conversational AI systems, including measurement frameworks and reliability assessments.
  
• Demonstrated ability to prototype quickly, balancing rigor with speed to accelerate customer outcomes.
  

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• Experience in technical consulting, enterprise data engagements, or customer-facing analytics roles.
  
• Experience applying AI/LLMs to scale data science workflows or automate analysis.
  
• Familiarity with enterprise support operations, customer experience tooling, or SaaS platform deployments.
  

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• We are a well treated bunch, with awesome benefits! If there’s something important to you that’s not on this list, talk to us!
  
• Competitive salary and equity in a fast-growing start-up
  
• We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen
  
• Regular compensation reviews - we reward great work!
  
• Pension scheme & match up to 4%
  
• Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents
  
• Flexible paid time off policy
  
• Paid maternity leave, as well as 6 weeks paternity leave for fathers, to let you spend valuable time with your loved ones
  
• If you’re cycling, we’ve got you covered on the Cycle-to-Work Scheme. With secure bike storage too
  

MacBooks are our standard, but we also offer Windows for certain roles when needed.

Intercom has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week.

We have a radically open and accepting culture at Intercom. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our core values.

Intercom values diversity and is committed to a policy of Equal Employment Opportunity. Intercom will not discriminate against an applicant or employee on the basis of race, color, religion, creed, national origin, ancestry, sex, gender, age, physical or mental disability, veteran or military status, genetic information, sexual orientation, gender identity, gender expression, marital status, or any other legally recognized protected basis under federal, state, or local law.

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