Associate Technical Product Manager

About Ancestry:

When you join Ancestry, you join a human-centered company where every person’s story is important. Ancestry®, the global leader in family history, connects everyone with their past so they can discover, preserve, and share their unique family stories. With our unparalleled collection of more than 65 billion records, over 3.5 million subscribers, and over 27 million people in our growing DNA network, customers can discover their family story and gain a new level of understanding about their lives. Over the past 40 years, we’ve built trusted relationships with millions of people who have chosen us as the platform for discovering, preserving, and sharing the most important information about themselves and their families.

We are committed to our location flexible work approach, allowing you to choose to work in the nearest office, from your home, or a hybrid of both (subject to location restrictions and roles that are required to be in the office- see the full list of eligible US locations HERE). We will continue to hire and promote beyond the boundaries of our office locations, to enable broadened possibilities for employee diversity.

Together, we work every day to foster a work environment that's inclusive as well as diverse, and where our people can be themselves. Every idea and perspective is valued so that our products and services reflect the global and diverse clients we serve. 

Ancestry encourages applications from minorities, women, the disabled, protected veterans and all other qualified applicants. Passionate about dedicating your work to enriching people’s lives? Join the curious.

Ancestry's Data, AI & Analytics Platforms team builds the platforms that power enterprise intelligence — from data pipelines and warehouse performance to customer-signal foundations and AI-augmented analytics. In this role, you will be a foundational PM working across three interconnected surfaces: Data Infrastructure, Growth Data Foundations, and AI Enablement.

You will partner closely with our Data Foundations TPM, Engineering leadership, and Marketing Analytics to ensure that platform data and customer signals are governed, high-quality, and seamlessly integrated into enterprise decision-making. This is a broad-scope entry point that grows into either a Data Foundations or AI Platforms specialization.

What you will do...

• Support Foundational Data Strategy — Help execute platform initiatives that balance technical scalability with the needs of internal stakeholders across Marketing, Finance, and Product.

• Steward Growth Data & Customer Signals — Support standardization, governance, and integration of external engagement data (attribution, conversion, customer journey) into the enterprise data ecosystem.

• Maintain Data Contracts — Help define and monitor agreements between external platforms and internal infrastructure to ensure analytics and AI models are not disrupted by upstream changes.

• Enable Platform Operations — Track pipeline health, data freshness, query performance, and cost optimization metrics for downstream partners.

• Bridge Technical & Business Requirements — Translate stakeholder needs into clear technical specifications for Engineering and Platform Architecture teams.

• Support AI Enablement — Coordinate rollout, feedback loops, and observability for internal AI tools and platforms; contribute to the team's AI literacy programming.

• Privacy & Compliance Stewardship — Ensure customer signal data meets privacy standards and is handled ethically across the data lifecycle.

• Document Rigorously — Create and maintain feature requirements, technical specifications, user stories, and platform documentation.

• AI Literacy Programming — Operate AI tooling office hours; support team's 10% AI literacy charter commitment.

Who you are...

• Educational Background: Bachelor's degree in Computer Science, Analytics, Data Engineering, or a related technical field.

• Professional Experience: 1–3 years in product management, program management, data engineering, technical operations, or analytics roles. Strong new grads with relevant internships will be considered.

• Technical Literacy: Working knowledge of SQL, data ingestion patterns, API integrations, and how customer signals are modeled in data warehouses. Familiarity with Redshi