Intercom is building a GTM Data Products team to embed machine learning and AI directly into our Sales and Marketing workflows.

We are hiring a Senior GTM Data Scientist to design and deploy predictive systems that materially improve:

Customer acquisition (e.g. via lead scoring, attribution)
Sales efficiency (e.g. via book carves, sales quotas)
Customer retention and expansion (e.g. via revenue prediction)

This is not a reporting role.

This role owns end-to-end data products - from problem framing and modeling to deployment and operational integration - that directly influence how our GTM organization prioritizes leads, manages accounts, allocates resources, and drives revenue.

You’ll work closely with Marketing, Sales, and RevOps leadership to build ML-powered systems that change how decisions are made at scale.

If you are excited about building applied machine learning systems that generate measurable revenue impact, this role is for you.

What will I be doing?

Build Revenue-Impacting ML Systems

Develop, deploy, optimize predictive models (lead scoring, account prioritization, marketing attribution, revenue estimation)
Productionize models into operational systems (Salesforce, Marketo, outbound workflows)
Monitor model performance and iterate for measurable business lift
Design and implement experimentation frameworks (A/B testing, holdouts, incremental lift measurement)
Apply advanced techniques when appropriate (e.g., causal inference, uplift modeling, segmentation, LTV modeling)

You don’t just build models - you ensure they change behavior.

2. Own End-to-End Data Products

Translate ambiguous business problems into clear, measurable objectives
Define GTM data products vision, success metrics, and roadmap
Ensure integration into existing workflows and systems
Lead stakeholder alignment and change management
Secure buy-in from system owners before replacing or enhancing existing solutions

You operate as a mini GM for your data products.

3**. Architect Scalable Data Foundations**

Design robust data pipelines and modeling infrastructure in collaboration with Data Engineering / Data Infrastructure
Ensure data quality, governance, and reproducibility
Elevate the team’s standards for experimentation, documentation, and knowledge sharing
Push adoption of new tools and AI capabilities where appropriate

You raise the technical bar for the GTM organization.

What impact might I have?

Within 6-12 months, you might:

Launch predictive models that materially improve conversion, expansion, or retention
Reduce inefficiencies in Sales workflows through automation
Help leadership make investment decisions backed by rigorous data science
Influence GTM strategy through quantitative insight and modeling

Success is measured in business outcomes - not dashboards built.

What we’re looking for

Experience

5+ years in Data Science, Applied ML, or Advanced Analytics
Experience building predictive models deployed into production environments
Experience working with Sales, Marketing, or GTM teams in a B2B SaaS environment preferred
Proven track record influencing senior stakeholders through data

Technical Skills

Expert-level SQL
Advanced Python or R for modeling and experimentation
Strong foundation in statistics and experimental design
Experience with:
Predictive modeling
Feature engineering
Model evaluation & validation
Causal inference or uplift modeling (strong plus)
Model deployment & monitoring (strong plus)

Mindset & Leadership

You are:

A trusted advisor who influences strategy, not just execution
Deeply curious about the “why” behind business metrics
Comfortable operating with autonomy in ambiguous environments
AI-first: you look for opportunities to automate, optimize, and scale
Clear and compelling in communication - you turn complex models into strategic decisions
Impact-oriented: you prioritize work that moves revenue

Benefits

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 meaningful equity
Comprehensive medical, dental, and vision coverage
Regular compensation reviews - great work is rewarded!
Flexible paid time off policy
Paid Parental Leave Program
401k plan & match
In-office bicycle storage
Fun events for Intercomrades, friends, and family!

*Proof of eligibility to work in the United States is required

The base salary range for candidates within the San Francisco Bay Area is $197,600 - $246,713. Actual base pay will depend on a variety of factors such as education, skills, experience, location, etc. The base pay range is subject to change and may be modified in the future. All regular employees may also be eligible for the corporate bonus program or a sales incentive (target included in OTE) as well as stock in the form of Restricted Stock Units (RSUs).

#LI-Hybrid

Policies

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.