Senior Technical Product Manager – AI/ML

Part of the Capgemini Group, Sogeti makes business value through technology for organizations that need to implement innovation at speed and want a local partner with global scale. With a hands-on culture and close proximity to its clients, Sogeti implements solutions that will help organizations work faster, better, and smarter. By combining its agility and speed of implementation through a DevOps approach, Sogeti delivers innovative solutions in quality engineering, cloud and application development, all driven by AI, data and automation.

Senior Technical Product Manager – AI/ML

Seattle, WA

We’re looking for an experienced Senior technical product manager with domain expertise in Machine Learning, and building production infrastructure at scale. This role will plan and execute on a strategy for accelerating development of reliable, scalable and responsible Machine Learning services with client. They should have both a deep technical background and a strong, customer-centric approach to product management, which they will have demonstrated through past projects.

Qualifications

• 4 years of prior technical product management experience with Machine learning in an infrastructure or platform team.
• 4-6 years of overall product management or other related experience.
• Technical expertise in Machine Learning, with experience in building libraries and tooling for both production and experimentation infrastructure at scale.
• Demonstrated experience owning product delivery of scalable and high availability machine learning models called with live data inputs.
• Experience with Python and the machine learning ecosystem in Python (Numpy, Pandas, Scikit-learn, LightGBM, PyTorch, SHAP).
• Strong understanding of statistics and machine learning.
• Experienced with crafting roadmaps that serve internal customers and be able to use a strong toolbox of tried and tested processes for ensuring effective communication and teamwork across organizations.
• Excellent written and verbal communication skills.
• Experience with Azure and Databricks (Unity Catalog, Feature Store, AutoML etc.) highly preferred.
• Experience with Generative AI is a PLUS, but not required.

Responsibilities:

This Technical Product Manager will collaborate with various Data Science and Data Product teams to gather insights and find opportunities for us to improve the ML Platform tools, MLOPS process and code libraries enabled by the MLOPS Platform team.

• Own the lifecycle of technical products and their projects, including ideation, building POC, drafting functional specifications, reviewing them with stakeholders, monitoring their build status, validating their implementation against specifications and analyzing their success post launch.
• Be able to clearly communicate changes to timelines, scope and impact of technical projects to the AI/ML product teams, and other key stakeholders
• Monitor and communicate analytically the success of product features launched
• Advocate for technical product innovation in our product roadmap
• Clearly articulate why technical product solutions are needed/implemented to a non-technical audience

Apply online: https://career.us.sogeti.com/jobs/faces/home?jobId=14827

Education:

• Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field.

Life at Sogeti - We support all aspects of your well-being throughout the changing stages of your life and career. For eligible employees, we offer:

• Flexible work
• Healthcare including dental, vision, mental health, and well-being programs
• Financial well-being programs such as 401(k) (matched 150% up to 6%) and Employee Share Ownership Plan
• 100% Company-paid mobile phone plan
• 3 weeks Personal Time Off (PTO) and 7 Paid Holidays
• Paid parental leave
• Family building benefits like adoption assistance, surrogacy, and cryopreservation
• Social well-being benefits like subsidized back-up child/elder care and tutoring
• Mentoring, coaching and learning programs
• Continuing Education: $12,000 Annual Tuition Reimbursement plus access to over 20,000 online courses and certifications through Capgemini University, as well as Coursera and Degreed.
• Programs for Counseling, Support, Health and Fitness perks, Auto discounts and much, much more!
• Employee Resource Groups
• Disaster Relief

Disclaimer - Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.

Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.

This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodations do not pose an undue hardship.

Capgemini is committed to providing reasonable accommodations during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.

Click the following link for more information on your rights as an Applicant http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law