We're looking for a systems thinker who can work from source eventing through business decisions. You'll help shape the data inputs, define and activate audiences, design experiments, analyze results, and work with leaders across Marketing, Product, BI/Data, and Engineering to turn evidence into better customer experiences.

This is hands-on work across large-scale consumer data and production activation systems. You'll work directly in Snowflake and Salesforce Marketing Cloud, where the quality of the data, audience logic, experiment design, and interpretation all matter because the resulting decisions affect millions of real consumers.

Responsibilities

• Build, validate, and operate audience segmentation and activation workflows in Salesforce Marketing Cloud across lifecycle programs.
• Work directly with large-scale behavioral, lifecycle, transactional, engagement, and event data in Snowflake to identify meaningful audience patterns and opportunities.
• Help shape the source eventing and data inputs needed to answer important customer and business questions, partnering closely with Product, BI, and Engineering.
• Design rigorous experiments, analyze results, and use what we learn to continuously improve audience strategy, lifecycle experiences, and personalization.
• Build clear reporting and communicate findings to leaders so evidence can move quickly into decisions, operational rules, and better product experiences.

Skills and Experience

• 5+ years of hands-on Salesforce Marketing Cloud experience supporting production lifecycle programs, including audience segmentation and activation.
• Strong experience in lifecycle marketing analytics, audience segmentation, and marketing automation operations.
• Meaningful experience in consumer marketing or consumer product environments, working with individual customer behavior and lifecycle signals at scale.
• Advanced SQL skills and strong hands-on Snowflake experience working directly with large customer datasets.
• Strong analytical and reporting capability, including the ability to investigate ambiguous problems, validate data, interpret results, and communicate findings clearly to business and technical leaders.
• Hands-on experience designing and evaluating experiments, including incrementality, statistical testing, or other rigorous measurement approaches.
• Curious, driven, and energized by solving ambiguous, high-impact problems with smart, collaborative people.

Additional Experience (Nice to have)

• Experience with event instrumentation, data modeling, schema design, pipelines, orchestration, identity resolution, or data quality frameworks.
• Python experience for analysis, automation, or repeatable data workflows.
• Exposure to applied data science or machine learning approaches such as clustering, propensity modeling, classification, or recommendation systems.
• Experience with Salesforce Personalization, mobile push, SMS, or other lifecycle activation capabilities.
• Exposure to GA4, dbt, Airflow, Fivetran, or similar analytics and data engineering tools.
• Curiosity and a desire to grow deeper into data engineering and applied data science while remaining close to the operational decisions and customer experiences the work enables.

Classmates is a category-defining consumer brand with durable demand, a deep and rich history, and decades of accumulated first-party customer data. We already have scale, customers, data, and active lifecycle channels. The opportunity is to connect those assets into a much stronger learning and personalization system.

This role will help shape how we understand customer behavior, how we create evidence, and how that evidence turns into better experiences. Come help a category-defining brand with durable demand become much more intelligent about how we create personalized experiences for individual members, graduating classes, and communities connected by shared history.

Classmates

Classmates is the premier online, social, and mobile destination for reconnecting with the people from your high school years. Classmates offers the largest digitized collection of high school yearbooks online, with over 450,000 available to view, tag, sign, and share, and has the most comprehensive directory of high schools and class lists from the 1940s to today.

Salary Range:

Min: $122,900
Mid: $137,600
Max: $153,000

The pay range reflects the salary amount the Company reasonably expects to pay for the position. It is not a guarantee of actual compensation or a specific payment amount to any candidate. The actual compensation will depend on numerous factors including, without limitation, a particular candidate's experience and qualifications.

Local area candidates are encouraged to apply, and please note we are not able to offer visa sponsorship, visa transfer, or corp-corp arrangements.

Note for Principal Agencies - Principal agents should not forward resumes to PeopleConnect, as we will not be responsible for any fees arising from the use of resumes submitted from agencies without a prior written and signed agreement and authorized job order for this position in place.