Principal Product Manager, Recommendations Experience 

Product Management | Lehi, Utah, United States

Principal Product Manager, Recommendations Experience

  • Lehi, Utah, United States
  • Product Management
  • Full-time

About Ancestry:

When you join Ancestry, you join a human-centered company where every person’s story is important. We believe that by discovering the struggles and triumphs of our past, we can foster deeper bonds and more meaningful connections among families and communities. Our talented team of scientists, engineers, genealogists, historians, and storytellers is dedicated to empowering customers around the world from all backgrounds on their journeys of personal discovery. 

With more than 30+ billion digitized global historical records, 100+ million family trees, and 20+ million people in our growing AncestryDNA database, Ancestry helps customers discover their family story and gain a new level of understanding about their lives. Passionate about dedicating your work to enriching people’s lives? You belong at Ancestry.

About the team and role:

Recommendations on Ancestry help people make unique and powerful discoveries about their family. The Recommendations team focuses on enhancing and expanding the ways recommendations guide people to:

- Discover their family legacy and identity

- Craft their family story to highlight exciting and meaningful discoveries

- Connect and share with their family and community

Passionate and values driven, this team guides our users with recommendations that resonate and are personal and engaging to help our customers better find and understand more about their family.

As a Principal Product Manager on this team, you will help drive the vision and strategic roadmap that evolves Ancestry’s recommendation ecosystem. You will partner tightly with leadership and domain stakeholders in the development of Ancestry’s recommendations engine, and the delivery of recommendations to customers throughout the product experience. You will create ever increasing customer value through one of the world’s most unique data sets to create a delightful and engaging experience. You will partner with our Platform Product Managers, UX Designers, Researchers, Subject Matter Experts to make the Ancestry recommendations experience faster, easier, and more fun, uncovering unique discoveries about our users and their families.

This position can be based in our Lehi, UT Corporate or San Francisco offices. We are currently 100% remote. Our offices are open for employees who wish to work onsite on a voluntary basis. 

What you will do:

  • With a deep understanding of our current Recommendations Platform and user experience, our customers, and the engine that powers our recommendations, you will work with our leadership and domain stakeholders to champion our customers’ needs at all times.
  • Create and evangelize the Recommendations vision and roadmap based on assessing both customer and business needs. This highly iterative process requires synthesizing qualitative and quantitative research consumer insights & data into high impact solutions for our customers.
  • Success will be measured by delivering a more engaging experience. Data and a/b testing will guide priorities. 
  • Collaborate with domain partners to look for opportunities to innovate the Recommendations experience and to deliver new types of recommendations to our customers.
  • Essentially, you are our Recommendations domain product experience expert. 

Who you are:

  • You have built products that customers love by helping them accomplish their goals and removing their pain points. You smile with every joyful exclamation of “Wow, I never knew that about my family!” knowing it's because of what you and this team are delivering is making a difference in their lives.
  • You are a “Let’s build this!” product leader who balances the needs of the customer and the team’s ability to deliver high impact product experiences. You’ve done it in your current role. At least, 10+ years defining and delivering front end experiences for recommendations or search ML/AI based data products to customers. 
  • You know how to work with UX Design, Research, customer service, subject matter experts, and front-end web development teams to create and deploy complex software systems. You know how to prioritize the right features to design sophisticated experiences that deliver rich ML based recommendations and discoveries to customers.
  • You can present complex information so everyone in the room understands the product vision and how we are going to get there.
  • More than anything, you pride yourself on consistently delivering through highly engaged partnerships and collaboration with your colleagues, saying what you do and doing what you say. You are driving this bus and you got this!




Additional Information:

Ancestry is an Equal Opportunity Employer that makes employment decisions without regard to race, color, religious creed, national origin, ancestry, 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, Ancestry 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 San Francisco office candidates, pursuant to the San Francisco Fair Chance Ordinance, Ancestry will consider for employment qualified applicants with arrest and conviction records.  

Ancestry is not accepting unsolicited assistance from search firms for this employment opportunity. All resumes submitted by search firms to any employee at Ancestry 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 Ancestry. No fee will be paid in the event the candidate is hired by Ancestry as a result of the referral or through other means.

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