Manager, Engineering, AI/ML Data and Infrastructure at Peloton

New York, New York, United States -

Full Time

Start Date

Immediate

Expiry Date

26 Jan, 26

Salary

271000.0

Posted On

28 Oct, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

ETL, Hadoop, SQL, BigData, Spark, Looker, Python, Scala, Project Management, Team Management

Industry

Wellness and Fitness Services

Description

Peloton Interactive, Inc. seeks Manager, Engineering, AI/ML Data and Infrastructure in New York, NY: Job Duties: Manage and grow a team of data engineers and ML infrastructure engineers responsible for delivering on that roadmap. Establish processes within the team to effectively drive operational excellence and increase developer velocity. Identify and drive the adoption of new technologies, architecture and skill sets for the team to take on new challenges. Partner closely with recruiting to identify and hire strong candidates from diverse backgrounds. Motivate and drive a continuous performance-based culture within the team. Provide adequate management support for the team in the form of team meetings, 1:1’s and other forums as needed to support the group and individual development objectives of team members. Coach and mentor team members to help with their career growth through setting objectives, regular feedback, and sharing best practices. Evolve the technical roadmap by understanding the current needs and pain points of key stakeholders in AI/ML organization and drive for its execution. Work closely with Platform teams to understand their current offerings and find ways to either integrate or evolve them to meet the needs of the AI/ML organization. Handle planning and breaking down large projects. Manage program and project risks appropriately. Identify and mitigate internal and cross-functional dependencies and blockers. Leverage a strong technical foundation and experience to provide appropriate guidance in a team of junior and senior engineers. Drive technical decision making through objectively assessing trade-offs based on scope, business priorities, and impact to stakeholders’ deliverables. Telecommuting is an option. Minimum Requirements: Master’s degree (or its foreign degree equivalent) in Computer Science, Engineering (any field), or a related quantitative discipline, and two (2) years of experience in the job offered or related field. Special Skill Requirements: (1) ETL (2) Hadoop (3) SQL (4) BigData (5) Spark (6) Looker (7) Python (8) Scala (9) Project management (10) Team management. Any suitable combination of education, training and/or experience is acceptable. Telecommuting is an option. Salary: $258,195 - $271,000.00 per annum. Submit a resume with references using the apply button on this posting (Req.# 22-133691). #LI-DNI ABOUT PELOTON: Peloton (NASDAQ: PTON) provides Members with expert instruction, and world class content to create impactful and entertaining workout experiences for anyone, anywhere and at any stage in their fitness journey. At home, outdoors, traveling, or at the gym, Peloton brings together innovative hardware, distinctive software, and exclusive content. Founded in 2012 and headquartered in New York City, Peloton has millions of Members across the US, UK, Canada, Germany, Australia, and Austria. For more information, visit www.onepeloton.com. Peloton is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws. Equal employment opportunity has been, and will continue to be, a fundamental principle at Peloton, where all team members, applicants, and other covered persons are considered on the basis of their personal capabilities and qualifications without discrimination because of race, color, religion, sex, age, national origin, disability, pregnancy, genetic information, military or veteran status, sexual orientation, gender identity or expression, marital and civil partnership/union status, alienage or citizenship status, creed, genetic predisposition or carrier status, unemployment status, familial status, domestic violence, sexual violence or stalking victim status, caregiver status, or any other protected characteristic as established by applicable law. This policy of equal employment opportunity applies to all practices and procedures relating to recruitment and hiring, compensation, benefits, termination, and all other terms and conditions of employment. If you would like to request any accommodations from application through to interview, please email: applicantaccommodations@onepeloton.com. At Peloton, we embrace technology, including AI, to enhance productivity and accelerate innovation in the work we do for our members. However, in our hiring process, our priority remains in getting to know you and your unique qualifications. To ensure a fair and equitable process, we do not permit the use of AI tools during any stage of the application and interview process. In considering you as an applicant, we want to understand your skills, experiences, and motivations without mediation through an AI system. We also want to directly assess your communication skills without the use of an AI tool. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act, the City of Los Angeles Fair Chance Initiative for Hiring Ordinance and the San Francisco Fair Chance Ordinance, as applicable to applicants applying for positions in these jurisdictions. Please be aware that fictitious job openings, consulting engagements, solicitations, or employment offers may be circulated on the Internet in an attempt to obtain privileged information, or to induce you to pay a fee for services related to recruitment or training. Peloton does NOT charge any application, processing, or training fee at any stage of the recruitment or hiring process. All genuine job openings will be posted here on our careers page and all communications from the Peloton recruiting team and/or hiring managers will be from an @onepeloton.com email address. If you have any doubts about the authenticity of an email, letter or telephone communication purportedly from, for, or on behalf of Peloton, please email applicantaccommodations@onepeloton.com before taking any further action in relation to the correspondence. Peloton does not accept unsolicited agency resumes. Agencies should not forward resumes to our jobs alias, Peloton employees or any other organization location. Peloton is not responsible for any agency fees related to unsolicited resumes.

Responsibilities

Manage and grow a team of data engineers and ML infrastructure engineers while establishing processes to drive operational excellence. Evolve the technical roadmap by understanding the needs of key stakeholders and managing program and project risks.