Manager Engineering, Personalization

San Francisco - California

Date Posted: Apr. 25, 2019

Requisition ID: MAC14729

Job Overview:

Our Digital Technology team is the proud owner of all platforms and services and functions needed to power our digital experiences and engagement for millions of Macy’s customers every day. We are passionate technologists who thrive on simple and elegant architecture and agility. We own the architecture and development of both back-end and front-end components. Innovation is our core to stay ahead of our customer and the industry engineering landscape.  We are working on Restful Services, Big-Fast data, Social Commerce, Machine Learning, Scalability & High availability, Diagnostics, and embracing various new open source technologies. We are working on building our innovations lab to foster empowerment of our engineers as we build next generation roadmap for our customers. Come get challenged in a fast, agile environment with other A players.

An Engineering Manager for Personalization is a highly technical leader, who is experienced with delivering complex and mission critical systems, including high volume data repositories like Cassandra, HDFS, Spark, Elasticsearch, etc along with highly scalable micro service applications.  This person should have demonstrated the successful management of multiple development teams, each team encompassing a total of 5-12 engineers where resources may be either onshore or offshore. This person will need to be comfortable in an experimentation culture where the team is continuously measuring, reflecting on what was launched, and pivoting on a dime based on data. This person will need to understand the value of having strong design/architecture and will need to be motivated by the need to serve the business. Additional responsibilities include mentoring the team, driving the SDLC and methodology, tracking the current tasks of the team members, and escalating issues as needed. This person will need to have strong Java and Big Data skills. Experience with Machine Learning a strong plus. The successful applicant will work closely with product managers, other Technical Leads, Software Engineers and Operations in a highly collaborative environment to provide quality software and solutions, while providing the necessary leadership to deliver releases continuously and quickly. Perform other duties as assigned.

Essential Functions:
  • Be responsible for building, steering, nurturing and maintaining a leading-edge big data team supporting our machine learning practice by providing guidance, vision & leadership, set team strategy and direction.
  • Manage your direct reports to continually develop and apply skills relevant to the space, including Machine learning and statistical modeling techniques and Python/Scala programming skills on Apache Spark, or Google CloudML, Cassandra, Elasticsearch, Kafka, as well as sound business judgement and communication skills.
  • Strong interest and proven experience in analytics-enabled digital transformations (e.g. multi-channel, segmentation, user experience, digital plant, etc.).
  • Proven technical leadership on developing high scalable ML systems in production. 
  • Own development team’s tools, processes, and quality / performance of the work produced by the team. 
  • A demonstrated passion for working with data at scale and empowering organizations through data.
  • Exceptional architecture abilities and experience with architectural patterns of large, high-scale application.
  • Extensive experience with A/B experimentation and data/metric-driven product development. 
  • Proven track record of hiring high quality ML and/or backend/big data engineers. 
  • Actively coached and mentored engineers in their careers. 
  • Work with Technical Leads, Software architects and quality assurance engineers to resolve development roadblocks. 
  • Own the relationships with key supporting teams. 
  • Report critical issues to senior management effectively, timely, and with clarity. 
  • Hands-on system design and development as needed. 
  • Hands-on mentoring of the team. 
  • Regular, dependable attendance and punctuality. 

  • Bachelor’s Degree in Computer Science/Engineering and 3 years experience required or Master’s Degree in Computer Science/Engineering and 2 years experience.
  • 10+ years total experience as an engineer in an engineering environment. 
  • 2+ years management experience of guiding multiple teams of significant size. 
  • Strong understanding of search, relevancy and ML/AI techniques a strong plus.
  • Experience with Solr, Spark, Hadoop or similar large-scale data technologies.
  • Highly technical - experienced with caching, high performance and highly scalable web applications. 
  • Experience with Agile (Scrum) mehodologies. 
  • Offshore team management experience desired. 
  • Experience in design and code reviews and writing required design and analysis documents for the applications. 
  • Experience writing application architecture specifications and assisting with architecture building.
Communication Skills: 
  • Strong written and verbal communication skills. 
  • Ability to effectively communicate with and tailor communication to peers, stakeholders, direct reports and senior leadership.
  • Able to effectively communicate across teams and roles – written and verbal skills. 
Mathematical Skills:
  • Basic math functions such as addition, subtraction, multiplication, division, and analytical skills.
Reasoning Ability:
  • Ability to deliver full life cycle engagements. 
Physical Demands:
  • This position involves regular walking, standing, sitting for extended periods of time, hearing, and talking. 
  • May occasionally involve stooping, kneeling, or crouching. 
  • May involve close vision, color vision, depth perception, focus adjustment, and viewing computer monitor for extended periods of time.  
  • Involves manual dexterity for using keyboard, mouse, and other office equipment. 
  • May involve moving or lifting items under 10 pounds.
Other Skills:
  • Desire to work in a fast paced, agile, collaborative environment. 
  • Strong estimating and planning skills.
Work Hours:
  • Ability to work a flexible schedule based on business needs.
Company Profile:
As the fastest growing part of Macy's Inc. business, is achieving record sales and broadening our workforce. offers the entrepreneurial culture of a web business with the stability and support of the best brand in retailing. Creativity and ingenuity partner with business acumen and tech savvy to build a unique business poised for substantial growth. If you're interested in being a part of that growth and want to know what it's really like to work at, get an inside look at

Our employees have long-term opportunities and are encouraged to utilize their Supervisors and Human Resources for cross-functional movement to further their careers. At we are committed to giving back to the community by partnering with local charitable organizations. By skillfully combining the power of digital technology and omnichannel integration with the best in retailing, is reaching new heights.

This job overview is not all inclusive.  In addition, Macy’s, Inc. reserves the right to amend this job overview at any time.  Macy’s is an Equal Opportunity Employer, committed to a diverse and inclusive work environment.  Macy’s, Inc. – including Macy’s and Bloomingdale’s – will consider for employment qualified applicants with criminal convictions in a manner consistent with SFPC Art. 49 and LA MC ch.XVIII Art. 9.