Sr. Engineering Manager, Search & Recommendations
Posted on: September 17, 2020
Senior Engineer ManagerWayfairs Search and Recommendations team
provides the core platforms and services that allow our customers
to discover the products they love. Our systems leverage Wayfairs
extensive customer and product data to deliver trusted and valuable
recommendations and results in real time using custom machine
learning models. Our services are called over a billion times a
day. We provide both an essential service for Wayfair, but also
serve as a key lever for growth and customer value. Were looking
for an experienced engineering manager to join us and lead one of
our core product recommendations workstreams. The platform, models,
and services this team owns determine the bulk of products we
recommend and drive outsized value for Wayfair and our customers.
While this team is already delivering substantial results, we are
just getting started and want an engineering manager to help us
scale, accelerate, and advance the state of the art for ML based
recommendations.What You'll Do
- Grow, manage, and develop a team of 5-15 engineers.
- Work with a broader highly collaborative cross-functional team
that includes product managers, data scientists, and
- Own the technical vision, roadmap, and platforms for your
- Work with a variety of technologies, including Java, Python,
Hive, Spark, Kafka, Aerospike, Airflow, RESTful web services, gRPC,
Kubernetes, and GCP.
- Build platforms and services that allow us to make realtime ML
- Deliver direct measurable results for our business and
customers through improved product recommendations.
What You'll Need
- At least 7 years of experience in a senior engineer or
technical lead role.
- At least 4 years experience of managing engineers.
- Experience developing and designing scalable distributed
systems with deep understanding of object oriented design, modern
program languages, and design patterns.
- Excellent communication skills and ability to work effectively
with engineers, product managers, data scientists, analysts and
- Experience developing and designing recommendation systems and
productionalizing ML models for real time decisions is a plus.
About UsWayfair is one of the worlds largest online destinations
for the home. Whether you work in our global headquarters in Boston
or Berlin, or in our warehouses or offices throughout the world,
were reinventing the way people shop for their homes. Through our
commitment to industry-leading technology and creative
problem-solving, we are confident that Wayfair will be home to the
most rewarding work of your career. If youre looking for rapid
growth, constant learning, and dynamic challenges, then youll find
that amazing career opportunities are knocking. No matter who you
are, Wayfair is a place you can call home. Were a community of
innovators, risk-takers, and trailblazers who celebrate our
differences, and know that our unique perspectives make us
stronger, smarter, and well-positioned for success. We value and
rely on the collective voices of our employees, customers,
community, and suppliers to help guide us as we build a better
Wayfair and world for all. Every voice, every perspective matters.
Thats why were proud to be an equal opportunity employer. We do not
discriminate on the basis of race, color, ethnicity, ancestry,
religion, sex, national origin, sexual orientation, age,
citizenship status, marital status, disability, gender identity,
gender expression, veteran status, or genetic information.Apply
Keywords: Wayfair, Boston , Sr. Engineering Manager, Search & Recommendations, Engineering , Boston, Massachusetts
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