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

This passionate and values driven team guides our users with recommendations that resonate and return great insight and value to our customers. 

As a Senior Technical Product Manager on this team, you will improve and diversify our Recommendations Engine, infusing integrated machine learning (ML) and artificial intelligence (AI) models into the Ancestry's Recommendations Platform. You will create ever increasing customer value through one of the world’s most unique data sets. You will work with industry-leading data scientists and engineers to make the Ancestry experience faster, easier, and more fun, uncovering unique discoveries about our users and their families.

This position can be based in either the Lehi, UT or San Francisco, CA offices. We are currently 100% remote and anticipate reopening our office in Q1 2022 on a hybrid work model. 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, its customers, and the engine that powers it, you will work with our Data Science team to build a long term roadmap and champion our customers’ needs at all times
• Create and evangelize the Recommendations Platform vision and roadmap and coordinate with cross-domain partners to execute. This highly iterative process requires synthesizing qualitative and quantitative research and consumer insights into high impact platform functionality. 
• Collaborate with data scientists to define functional and system requirements for integration of ML/AI models into the Recommendation Engine
• Essentially, you are our Recommendations Platform and Engine technical product expert. 

Who you are:

• You totally understand how knowledge graph data science and have successfully partnered with Data Science to deliver ML/AI based products.
• You know how to prioritize product features with data science and engineering to design sophisticated algorithms that deliver loads of high quality data mined content. 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 get this done” technical product manager. You most likely were an engineer or a data scientist in your previous roles. You may be a senior product owner or product savvy engineer today. At least, 5+ years defining and delivering ML/AI based recommendation engines or data products
• You know how to work with and deploy complex software systems, really large data sets, and absolutely understand machine learning based products
• 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!

#GDSponsored

#IND2

#LI-DO1

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.