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Senior Product Software Engineer - Senior Technical Product Manager
CapgeminiUnited Statesfull_timeVerifiedPosted 11 Jan 2025
💰 $156,310/yr($76,200/yr – $156,310/yr)
About the role
Senior Product Software Engineer - Senior Technical Product Manager-078004
Description
Location: Seattle, WA
Job description:
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. 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.Key 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.Required Skills:
• 4+ years of prior technical product management experience with Machine learning in an infrastructure or platform team. • 7 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.Life at Capgemini
Capgemini supports 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) and Employee Share Ownership Plan • Paid time off and 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 • Employee Resource Groups • Disaster Relief About Capgemini Engineering World leader in engineering and R&D services, Capgemini Engineering combines its broad industry knowledge and cutting-edge technologies in digital and software to support the convergence of the physical and digital worlds. Coupled with the capabilities of the rest of the Group, it helps clients to accelerate their journey towards Intelligent Industry. Capgemini Engineering has more than 55,000 engineer and scientist team members in over 30 countries across sectors including Aeronautics, Space, Defense, Naval, Automotive, Rail, InfrastructApply for this role
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