Associate Technical Product Manager

United States Digital Space LLC; United States; Hybrid; USD 75,000 - 110,000; Full time

Job summary

the company is seeking a foundational PM for its Data Infrastructure, Growth Data Foundations, and AI Enablement surfaces. You will partner closely with our Data Foundations TPM, Engineering leadership, and Marketing Analytics to ensure platform data and customer signals are governed, high-quality, and integrated into enterprise decision-making.

This is a broad-scope entry point that grows into either Data Foundations or AI Platforms specialization, with a focus on bridging technical and

Qualifications

• Bachelor’s degree in Computer Science, Analytics, Data Engineering, or a related technical field.
• 1–3 years in product management, program management, data engineering, technical operations, or analytics roles.
• Working knowledge of SQL, data ingestion patterns, API integrations, and how customer signals are modeled in data warehouses.

Responsibilities

• 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 into the enterprise data ecosystem.
• Maintain Data Contracts — Define and monitor agreements between external platforms and internal infrastructure to ensure analytics 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 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.

Skills

SQL

Data ingestion

APIs

Data warehousing

Redshift

Education

Bachelor's degree in CS/Analytics/Data Eng

Tools

Jira

Rally

Job description

About the company:

When you join the company, you join a human-centered company where every person’s story is important. the company®, 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- ). 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.

the company 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.

the company’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 Redshift, AWS, or comparable platforms is a plus.
• Multi-Domain Comfort: You are energized by breadth across infrastructure, growth data, and AI tooling — and disciplined about quarterly prioritization to avoid spreading thin.
• Bridge Builder: Ability to influence across Engineering, Marketing, and Analytics teams without direct authority.
• Privacy-Centric: Commitment to data stewardship, privacy‑by‑design, and ethical data handling — especially for customer engagement signals.
• Agile Familiarity: Exposure to Agile/Scrum methodologies and tools like Jira or Rally.
• AI-Curious: Genuine interest in GenAI, LLM workflows, and AI‑augmented PM practices. Hands‑on experimentation (prompting, agents, automation tools) is a plus.

Preferred Qualifications

• Internship or co‑op experience in data platforms, Analytics, or AI tooling environments.
• Exposure to attribution modeling, customer data platforms (CDP), or marketing analytics.
• Familiarity with BI, workflow automation, or experimentation tools.

Helping people discover their story is at the heart of ours. the company is the largest provider of family history and personal DNA testing, harnessing a powerful combination of information, science and technology to help people discover their family history and stories that were never possible before. the company’s suite of products includes: AncestryDNA, AncestryProGenealogists, Fold3, Newspapers.com, Find a Grave, Archives.com, and Rootsweb. We offer excellent benefits and a competitive compensation package. For additional information, regarding our benefits and career information, please visit our website at http://the company.com/careers

As a signatory of the ParityPledge in Support of Women and the ParityPledge in Support of People of Color, the company values pay transparency and pay equity. We are pleased to share the base salary range for this position: $81,720 - $102,1050 with eligibility for bonus, equity and comprehensive benefits including health, dental and vision. The actual salary will vary by geographic region and job experience. We will share detailed compensation data for a specific location during the recruiting process.

• Note: Disclosure as required by sb19-085(8-5-20) and sb1162(1-1-23).

Additional Information:

the company is an Equal Opportunity Employer that makes employment decisions without regard to race, color, religious creed, national origin, the company, sex, pregnancy, sexual orientation, gender, gender identity, gender expression, age, mental or physical disability, medical condition, military or veteran status, citizenship, marital status, genetic information, or any other characteristic protected by applicable law. In addition, the company will provide reasonable accommodations for qualified individuals with disabilities.

All job offers are contingent on a background check screen that complies with applicable law. For candidates who live in San Francisco, CA, pursuant to the San Francisco Fair Chance Ordinance, the company will consider for employment qualified applicants with arrest and conviction records.

the company is not accepting unsolicited assistance from search firms for this employment opportunity. All resumes submitted by search firms to any employee at the company via-email, the Internet or in any form and/or method without a valid written search agreement in place for this position will be deemed the sole property of the company. No fee will be paid in the event the candidate is hired by the company as a result of the referral or through other means.