Lead Product Manager, AI/ML Technology Foundation (Remote Work Option)

OREGON FIELD

Nike

Inspiration und Support für alle Athlet:innen mit innovativen Produkten, Experiences und Services.

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As Nike accelerates and operationalizes its One Technology Roadmap; it has become apparent there is a need for a team and structure that will be responsible for building high-quality enterprise products and platforms at scale. Product Management will play an integral part of the Global Technology team as we move into a technology-led strategy for Nike, with the Domain Product Manager being an essential component of that team. This function has a deep understanding of how to bring the best of Global Tech together, including a deep understanding of how to leverage platform capabilities.

WHO ARE WE LOOKING FOR

We are hiring for the position of Lead Product Manager (PM) supporting Foundational Technology Platforms within the Enterprise Architecture & Platform as a Service domain.

Enterprise Architecture & Platform as a Service provides the Architecture, Platforms, Innovations, and Initiatives that enable our customers and the business to have the Agility, Fast Time-to-Market, and Cost Effectiveness they need to be successful through an ecosystem of composable platforms.

Enterprise Architecture & Platform as a Service team is seeking a Lead Product Manager for the following Foundational Technology Platform:

  • AI/ML Technology Foundation Platform: provides technology and tools necessary to deliver end-to-end ML and GenAI throughout the data science lifecycle to enable developers to build and deploy Generative AI (GenAI) and Machine Learning (ML) Products and Pipelines.

As the Lead, AI/ML Foundational Technology Platform, Product Manager, you will lead the product management function, own product strategy, and design roadmaps for all products and technology solutions within the AIML Tech Foundation platform. You must have proven experience in leading product management in the areas of:

  • Self-service and "as-a-service" technology enterprise platforms (or PaaS)

  • Globally distributed systems at scale

  • API driven solutions (e.g. REST/gRPC) and designing APIs for exposing ML and GenAI capabilities to applications and downstream services

  • Familiarity with modern machine learning frameworks, data pipelines and cloud-native technologies

  • Strong understanding of key ML concepts like feature engineering, hyperparameter tuning, and model evaluation metrics

  • Experience with MLOps practices for end-to-end lifecycle management including MLflow

  • Knowledge of model serving frameworks, and experience with model compression techniques (e.g. quantization, pruning) and optimization for performance on GPUs and edge devices.

  • Knowledge of transformer-based architectures; experience with fine-tuning, deployment and optimization of LLMs; and generative techniques including text-to-text, text-to-image, and text-to-speech applications

  • Expertise in crafting and refining prompts for generative models and fine-tuning pre-trained model on domain-specific datasets using frameworks like Hugging Face Transformers.

  • Strong understanding of model evaluation metrics for GenAI, and experience with explainability tools or model interpretability libraries

  • Ethical AI and Compliance experience including AI governance frameworks and regulatory considerations for deploying ML and GenAI models in production

As a Lead PM, you will focus on driving excellence in product and platform strategy and execution. You will work in close collaboration with various teams within Global Technology (e.g., Digital Technology Product, Engineering leaders) and key Functional Teams across the business (e.g., Global Operations Team, Marketplace, Product Innovation). Lead PMs will require experience designing creative, quality technical products and enabling business capabilities and objectives through technology.

Lead and manage end to end enterprise roadmap

  • Lead the creation of an end to end product/platform vision and multi-year roadmap for a function in partnership with Engineering teams and the business

  • Partner with all stakeholders to understand Business needs, outcomes and value and ensure roadmaps are aligned to those needs

  • Ensure roadmaps account for and integrate dependencies across functional areas within Domains

  • Ensuring Tech Team roadmaps account for and integrate dependencies across functional areas within Domains

  • Collaborating with other PMs to address dependencies across Global Tech; provide inputs into overall end to end Global Tech roadmap development

Define product and platform strategy

  • Partnering with all stakeholders to understand Business needs and goals and providing strategic advice on how to respond

  • Utilizing a "customer-centric" mindset in designing roadmaps and building products/platforms that both meet current and future enterprise needs

  • Developing product and platform strategies to ensure they deliver outsized value to Global Tech quickly and are built to be scalable and agile

  • Bringing best-in-class market and industry insights to platform and product strategy

Deliver value to the business via products & platforms while elevating product management maturity

  • Use a value framework to make product and platform decisions

  • Drive the execution steps of product management in accordance with the value framework

  • Drive adherence to all standard PM ways of working (e.g., process, artifacts, templates, collaboration models)

  • Track value delivered, product adoption, performance, and execution against the end to end roadmap and adjusting roadmaps as necessary

  • Ensure PM maturity throughout all levels of the Tech Team, including support for the discipline

WHO WILL YOU WORK WITH

You will report to the associated Domain PM Leader to ensure alignment with Center-led PM goals and strategies.

You will be responsible for working closely with Engineering teams, collaborating with cross-functional stakeholders (e.g., other PM's, Business leads, Domain leads, HR/Finance), and facilitating decision-making across priorities with Portfolio Management.

WHAT YOU BRING

You should be skilled in product management, analytics, a structured and data-driven thinker and have excellent interpersonal skills.  Experience designing creative, quality technical products and enabling business capabilities and objectives through technology will be critical.  You should be comfortable conducting user research, usability testing, A/B testing, rapid prototyping, and analytics.  Additionally, you should be a skilled communicator with experience forming alliances and bringing together multiple stakeholders to execute on a common mission.

We are committed to fostering a diverse and inclusive environment for all employees and job applicants. We offer a number of accommodations to complete our interview process including screen readers, sign language interpreters, accessible and single location for in-person interviews, closed captioning, and other reasonable modifications as needed. If you discover, as you navigate our application process, that you need assistance or an accommodation due to a disability, please complete the Candidate Accommodation Request Form.

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: A/B testing Agile AI governance APIs Architecture Data pipelines Distributed Systems Engineering Feature engineering Finance Generative AI Generative modeling LLMs Machine Learning MLFlow MLOps Pipelines Prototyping Research Testing Transformers

Regions: Remote/Anywhere North America
Country: United States

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