Be an early applicantLess than 25 applicants

Company

Nike · 13 hours ago

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

Beaverton, OR

Full-time

Remote

Senior Level, Lead/Staff

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ApparelE-Commerce

H1B Sponsor Likely

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Responsibilities

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

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Product ManagementAI/ML TechnologyAPI driven solutionsMLOps practicesCloud-native technologiesFeature engineeringModel evaluation metricsModel serving frameworksEthical AIGenerative AIUser researchUsability testingA/B testingRapid prototypingStakeholder management

Required

Proven experience in leading product management in the areas of self-service and 'as-a-service' technology enterprise platforms (or PaaS)

Experience with globally distributed systems at scale

Experience with 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

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

Comfortable conducting user research, usability testing, A/B testing, rapid prototyping, and analytics

Skilled communicator with experience forming alliances and bringing together multiple stakeholders to execute on a common mission

Benefits

Generous total rewards package

Casual work environment

Diverse and inclusive culture

Electric atmosphere for professional development

Company

Nike

Glassdoor

4.1

Nike is a retail brand that provides the sale of apparel, footwear, sports equipment, and accessory products.

Founded in 1964

Beaverton, Oregon, USA

10,001+ employees

http://www.nike.com

H1B Sponsorship

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Trends of Total Sponsorships

2023 (206)

2022 (496)

2021 (506)

2020 (241)