Sr. Data Scientist & AI/ML, Marketing

About Us:

Proofpoint is a global leader in human- and agent-centric cybersecurity. We protect how people, data, and AI agents connect across email, cloud, and collaboration tools. Over 80 of the Fortune 100, 10,000 large enterprises, and millions of smaller organizations trust Proofpoint to stop threats, prevent data loss, and build resilience across their people and AI workflows. Our mission is simple: safeguard the digital world and empower people to work securely and confidently. Join us in our pursuit to defend data and protect people.

How We Work:

At Proofpoint you’ll be part of a global team that breaks barriers to redefine cybersecurity guided by our BRAVE core values: 

Bold in how we dream and innovate

Responsive to feedback, challenges and opportunities

Accountable for results and best in class outcomes

Visionary in future focused problem-solving

Exceptional in execution and impact

The Role

We are seeking a highly analytical and commercially minded Senior Manager of Marketing Science to drive ICP modeling, lead quality optimization, multi-touch attribution, and intent-driven growth strategy in a fast-scaling AI-driven B2B organization.
This is a hands-on role for a technical leader who can build advanced models while directly shaping go-to-market strategy. You will partner closely with Marketing, Sales, Product, and IT to ensure targeting, scoring, attribution, and investment decisions are grounded in scalable data architecture, predictive analytics, and incremental impact measurement.
Your work will define how we identify, prioritize, and convert high-value accounts — and how we accurately measure marketing’s true influence across complex enterprise buying journeys.

Your day to day

• Develop and continuously refine Ideal Customer Profile (ICP) models using firmographic, technographic, behavioral, and product usage data centralized in Snowflake 
• Build predictive lead and account scoring models leveraging SFDC, Marketo, product telemetry, and third-party intent vendor data 
• Design and maintain multi-touch attribution (MTA) models using Snowflake as the centralized source of truth 
• Integrate first-party behavioral data and third-party intent vendor signals into predictive pipeline models 
• Build scalable ETL pipelines in partnership with IT and Data Engineering to ingest and standardize marketing and intent data   Develop and maintain data models (dbt or similar) to standardize marketing and revenue reporting layers 
• Write advanced SQL in Snowflake across marketing, CRM, product, and revenue datasets 
• Develop predictive models in Python (or R) leveraging warehouse-scale datasets 
• Design and analyze A/B tests and incrementality experiments to distinguish correlation from causation 
• Build pipeline forecasting models incorporating ICP fit, engagement velocity, and intent signals 

What you bring to the team:  

• 8–10+ years of experience in marketing science, growth analytics, or B2B data science 
• Advanced SQL proficiency with hands-on experience in Snowflake 
• Strong Python (or R) experience for predictive modeling and statistical analysis 
• Familiarity with ETL tools (e.g., dbt, Fivetran, Airflow, or similar) 
• Proven experience building predictive lead and account scoring models 
• Experience designing or evolving multi-touch attribution frameworks 
• Experience integrating and operationalizing third-party intent vendor data 
• Strong statistical foundation (experimentation design, regression, causal inference) 
• Experience across Marketo, SFDC, Snowflake

Preferred

• Experience modeling marketing and revenue data within modern cloud data stacks 
• Familiarity with ABM measurement and buying group analytics 
• Experience in AI-native or data-centric B2B SaaS environments
• Background supporting annual planning and board-level reporting

What Success Looks Like

• A data-validated ICP model embedded in marketing and sales workflows 
• Predictive lead and account scoring models that measurably improve pipeline efficiency and win rates 
• Multi-touch attribution models built on Snowflake and trusted for executive budget decisions 
• Intent signals fully integrated into CRM and campaign orchestration systems 
• Scalable, well-documented marketing data pipelines that support reliable reporting and advanced modeling

Why Proofpoint?

At Proofpoint, we believe that an exceptional career experience includes a comprehensive compensation and benefits package. Here are just a few reasons you’ll love working with us:

• Competitive compensation

• Comprehensive benefits

• Career success on your terms

• Flexible work environment

• Annual wellness and community outreach days

• Always on recognition for your contributions

• Global collaboration and networking opportunities

Our Culture:

Our culture is rooted in values that inspire belonging, empower purpose and drive success-every day, for everyone.

We encourage applications from individuals of all backgrounds, experiences, and perspectives. If you need accommodation during the application or interview process, please reach out to [email protected].

How to Apply

Interested? Submit your application along with any supporting information- we can’t wait to hear from you!

Consistent with Proofpoint values and applicable law, we provide the following information to promote pay transparency and equity. Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets as set out below. Pay within these ranges varies and depends on job-related knowledge, skills, and experience. The actual offer will be based on the individual candidate. The range provided may represent a candidate range and may not reflect the full range for an individual tenured employee. This role may be eligible for variable compensation and/or equity. We offer a competitive benefits package, including flexible time off, a comprehensive well-being program with two paid Wellbeing Days and two paid Volunteer Days per year, plus a three-week Work from Anywhere option.

Base Pay Ranges:

SF Bay Area, New York City Metro Area:

California (excludes SF Bay Area), Colorado, Connecticut, Illinois, Washington DC Metro, Maryland, Massachusetts, New Jersey, Texas, Washington, Virginia, and Alaska:

All other cities and states excluding those listed above: