Software Engineering Manager, Product RecommendationsBoston Staffing • United States
Software Engineering Manager, Product Recommendations
Boston Staffing
- United States
- United States
À propos
Candidates for this position are preferred to be based in our Boston office and will be expected to comply with their team's hybrid work schedule requirements (3 days/week in office Tues-Thursday). Wayfair's Product Recommendations team builds the core platforms and services that allow our customers to discover & buy the products they love. We productionalize these ML models as microservices and build data pipelines necessary for inference and model training. Our services are used across storefront and marketing channels and are called over a billion times a day. We're looking for an experienced engineering manager to join our team to help us build our next-generation product recommendations platform. We are a highly impactful & fully autonomous team. Our models, services and platforms leverage a massive amount of customer and catalog data in real time to deliver a personalized experience to customers who browse our site. What You'll Do: Lead and manage a team of 5 - 9 engineers focused on building services, integrations and tools powering the Business and its interactions with partners. Own the output of the team both from a technical and performance perspective. Mentor engineers in the team through training, coaching, code reviews, and 1:1 mentorship providing career and professional development for your staff. Work not only within your pod, but across the workgroup and wider Wayfair Engineering to deliver value in a collaborative environment. Be accountable for the systems built by your team including technical design, development, test, monitoring, and deployment. Engage your team to construct the technical roadmap and lead planning, delivery and continuous improvement. Partner with product on defining roadmaps and ensure the team has a compelling mission with well defined KPIs to measure progress and success. Raise the bar from both a technical and process perspective. We Are a Match Because You Have: 6+ years of software development experience with strong familiarity in Java SpringBoot. Experience with GCP or AWS is a plus. 3+ years of experience managing a high performing engineering team. Bachelor's degree in Computer Science, Computer Engineering or equivalent combination of education and experience. Experience with scaling low-latency REST/gRPC, ML-powered services. Understanding of integrating ML models (TensorFlow, ONNX, or Python gRPC) into production services. Proficiency with Docker, Kubernetes, Helm, and CI/CD pipelines. Practical use of Redis, Elasticsearch or NoSQL stores for low-latency workloads. Ability to think creatively and find opportunities in processes, code and architecture to improve. A collaborative approach to problem solving and strong communication skills, able to work effectively with engineers, product managers, machine learning scientists, data scientists and business stakeholders. Why You'll Love Wayfair: Time Off: Paid Holidays, Paid Time Off (PTO) Health & Wellness: Full Health Benefits (Medical, Dental, Vision, HSA/FSA), Life Insurance, Disability Protection (Short Term & Long Term Disability), Global Wellbeing: Gym/Fitness discounts, Mental Health Support, Caregiver Services Financial Growth & Security: 401K Matching, Tuition Reimbursement, Financial Health Education, Tax Advantaged Accounts Family Support: Family Planning Support, Parental Leave, Global Surrogacy & Adoption Policy Professional Development & Recognition: Rewards & Recognition, Global Employee Anniversary Awards, Paid Volunteer Work Unique Perks: Employee Discount, U.S. Bluebikes Membership, Global Pod Outings Work/Life Balance: Emphasizing a supportive & flexible work environment that encourages a balance between personal and professional commitments We are looking forward to your application! Assistance for Individuals with Disabilities Wayfair is fully committed to providing equal opportunities for all individuals, including individuals with disabilities.
Compétences linguistiques
- English
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