Engineering Manager, Sense360

Remote, United States

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Posted 1 month ago

Medallia’s mission is to help companies win through customer experience. The world’s best-loved brands trust Medallia’s Experience Cloud™, which embeds the pulse of the customer in an organization and empowers employees with the real-time customer data, insights, and tools they need to make every experience great. Named a leader in the most recent Forrester Wave and ranked in the 2018 Forbes Cloud 100 list, Medallia is growing quickly, with a global footprint that spans Silicon Valley, Austin, New York, Washington DC, London, Paris, Sydney, Buenos Aires, Tel Aviv, and Prague. Here, we value people for each of the aspects that make them whole. We believe that people should not be defined only by a job title—nobody is "just an engineer" or "just a salesperson." We are each partners, parents, children, siblings, friends, and former classmates. We have different backgrounds and we celebrate different cultures. And, just like our product, we honor each of the experiences that build our people.
At Medallia we hire the whole person, not just a part of them.
As an Engineering Manager at Medallia, you will be leading our Sense360 Data Science team, whose mission is to create actionable insights for the leading enterprises.  You’ll help our high performing team continue to expand our capabilities leveraging panels of millions of users – combining foot traffic, transaction data, and user survey data.  You’ll work with our product team to discover new business opportunities to help some of the largest brands in the world.
Our data pipeline processes 1.6+ TB sensor data/day and is built using Spark, AWS, Python, Airflow. Below is a list of the major initiatives that you will be helping with.
*Analyze and integrate new data sources such as receipt data, POS data, product review data*Enhance our survey pipeline from batch to near real-time*Work closely with our data science team to build and deploy model training platforms*Create new products to drive value for our enterprise clients*Scale and optimize our analytics database cluster
What do we look for? Leaders who thrive at Sense360 have a few key traits:
*Able to take ownership of a problem, propose solutions and drive them to successful completion*Driven to be the best version of themselves on a daily basis and bring out the same in their team*Care about their work, their team and their company*Expect their ideas to be challenged because they believe that the best ideas can come from anywhere*View feedback as a gift that they give and receive


  • We are looking for a hands on individual that will lead and mentor a team of 8 data scientists and data analysts working on a variety of problems such as:

  • Building new market research metrics using our Foot Traffic, Transaction and Survey data sets.
  • Use tools like Airflow, Spark and Redshift to build data pipelines.
  • Training and deploying Machine Learning models to enhance the customer experience.
  • Providing data analysis and dashboards for internal and external customers.
  • Build and inspire a Sense360 team with distributed team members and global dependencies
  • Develop and mentor the growth of engineers on the team
  • Lead hiring for positions and backfills on the Sense360 team
  • Work closely with Product and Design teams to refine requirements and plan out new user-facing features
  • Develop new user-facing features and customer-driven enhancements to Employee Experience 360
  • Work with team to provide accurate estimates for work and manage to successful, on-time completion
  • Guide team to build scalable, maintainable solutions
  • Assist in monitoring of production assets and incident management
  • Participate in a thriving Engineering community, helping shape mid/long-term technical roadmap and architecture patterns for the global Engineering organization


  • MS in CS, math, statistics, or other quantitative major
  • 5+ years working in Data Science, 2+ years leading a team 
  • Advance knowledge of SQL
  • Advance knowledge of Python and software development best practices
  • Advance knowledge of Statistics
  • Experience with Machine Learning in a professional environment
  • Experience with Spark or other distributed framework
  • Experience with AWS or any other cloud provider
  • Experience developing production code and pipelines
  • Strong communication skills
  • Experience communicating and presenting to leadership team
  • Familiarity with Scrum and Agile processes
  • Experience with GitHub, Jira or equivalent
  • Ability to work in fast-paced and distributed teams.

Nice to haves

  • Experience managing contractors
  • Bring an ownership mindset with quality orientation and DevOps experience
  • AWS components like S3, Lambda, Athena, Glue, Redshift, RDS, etc
  • Experience managing processes using Airflow
At Medallia, we don’t just accept difference—we celebrate it and recognize the value it brings to our customers and employees. Medallia is proud to be an equal opportunity workplace and is an affirmative action employer. Equal opportunity and consideration are afforded to all qualified applicants and employees. We won't unlawfully discriminate on the basis of gender identity or expression, race, ethnicity, religion, national origin, age, sex, marital status, physical or mental disability, Veteran status, sexual orientation, and any other category protected by law. We also consider all qualified applicants regardless of criminal histories, consistent with legal requirements.
Medallia is committed to working with and providing reasonable accommodation to applicants with disabilities in accordance with the American Disabilities Act and local disability laws.
For information regarding how Medallia collects and uses personal information, please review our Privacy Policies.
Job tags: Airflow AWS Data Analysis DevOps Jira Machine Learning Mentor Python Redshift Research S3 Scrum Spark SQL Statistics Training
Job region(s): North America
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