Ancestry

Product Manager

• Lead continuous product discovery by rapidly prototyping, interviewing customers, and validating assumptions to test hypotheses before building.
• Partner with engineering and architecture to build a genetic genealogy platform—the APIs, matching logic, and front end components that will power our products.
• Write agents to combine historical and genetic data to provide new insights to our users.
• Develop and articulate a vision for an integrated experience that seamlessly combines DNA insights with historical records, grounded in customer needs and the latest trends in genomic and genealogical data.
• Surface meaningful family connections by combining the richness of our record artifacts with the power of DNA.
• Lead UI/UX design initiatives in collaboration with your product designer to create elegant, intuitive components that help simplify the complexities of research through combined genetic and historical record sets.
• Collaborate with colleagues to transform your strategic vision into a globally scalable product, taking into account local customer needs, cultural nuances, and competitive landscapes.
• Work closely with UX research and design, marketing, customer support, and legal teams to deliver value to customers swiftly and consistently.
• Learn rapidly from both quantitative and qualitative feedback, and adapt strategies with agility based on these insights.
• Partner closely with Senior Engineers to own the platform vision, use-case prioritization, and the internal developer experience.
• Engage with our content professionals and in-house genealogists to gain a thorough understanding of Ancestry’s content, which includes over 60 billion artifacts and user-created trees.

Senior Product Manager, Genetic Genealogy

Product Analyst

• Lead Product Measurement Strategy
• Generate Proactive Insights
• Shape Product Strategy with Data
• Design Scalable Data Foundations
• Leverage AI to Improve Analytical Efficiency
• Create Reusable AI-Enabled Analytics Solutions
• Elevate the Analytics Community

Staff Product Analyst

AI Research Scientist

• Support the development of representation learning models to integrate massive-scale hierarchical data with diverse record sets.
• Evaluate and benchmark diverse machine learning models to resolve data conflicts and improve the accuracy of relationship discovery at scale.
• Assist in building scalable ML prototypes that analyze billions of data points to provide automated insights and personalization.
• Develop efficient data pipelines to process and vectorize massive-scale datasets for downstream research and modeling tasks.
• Collaborate closely with senior researchers to document findings and prepare technical reports on model performance and scalability.

Graduate Research Co-op – AI & Representation Learning

Manager

• Lead research projects specializing in the U.S. Mid-South and South
• Identify and access research resources effectively
• Produce research logs, reports, and client updates
• Manage 30-60 client projects, defining scope and budget
• Ensure project deliverables meet standards and expectations
• Maintain an average of 5.5 billable hours per day
• Give and receive feedback, updating clients regularly
• Supervise accuracy and efficiency of research
• Conduct regular team meetings and available for consults

Research Manager

Product Designer

• Lead design initiatives across multiple product areas
• Partner with product teams to identify friction and define solutions
• Collaborate with Product Marketing to communicate value
• Identify key moments in the customer journey
• Create and guide high-quality design artifacts
• Advocate for the customer across the organization

Principal Product Designer – Customer Lifecycle

Data Analyst

• People Data Analysis: Utilizing data from internal and external resources and applying statistical methods to find patterns in data related to recruitment, attrition, engagement, organizational structure, pay practices and more.
• Connect Data with Business Need and People Strategy: Partnering with People Business Partners, Centers of Excellence, and Business leadership, identify data trends and incorporate business context to make insightful connections between experience and data.
• Strategic Advisor: Offer practical and informed recommendations to improve policy, workforce planning, talent development, retention, etc. to achieve business goals.
• Reporting and Visualization: Collect and synthesize data into user-friendly dashboards to support data-driven decision-making.

People Analytics Manager

Analyst

• Administer the company’s compensation program
• Support administration of the company’s stock incentive plan
• Manage compensation administration and visualization systems and HRIS integrations
• Analyze internal and external compensation trends and employee engagement data to assess program effectiveness
• Identify opportunities to enhance transparency, understanding, improve communications, and increase employee experience with compensation and equity awards
• Partner with HR, Accounting, Finance, and others to build and maintain self-serve tools which address operational issues