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8961 Manager Product Engineering jobs in New York,NY

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Product Manager, Ads (Live Ad Serving)

Netflix

New York, NY 10001

New, Posted 7 hours ago

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Senior Manager, Product Development [209011]

Aquent Talent

New York, NY

Hybrid

Bachelor's degree in Product Development, Business, Industrial Design, Engineering, or a related field (Master's degree preferred).
7+ years of progressive experience in product development within the Beauty, CPG, Fashion, or Luxury Goods industries.
Demonstrated success in executing strategic product development for major global B2B or retail partners.
Deep understanding of the full product lifecycle, from initial CAD/Design to mass manufacturing and logistics.
Proven experience managing and mentoring high-performing, cross-functional teams.
Strong ability to translate market data and client needs into a strategic product direction.
Ability to influence senior stakeholders both internally and externally.
Expert in Microsoft Office
Travel: Ability to travel domestically and internationally as required by project needs.

SmartExplore AI is experimental.

New, Posted 5 hours ago

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Associate Product Manager - Fully Remote

Apotheco Medicinals

New York, NY 10261

$90,000/yr

Remote

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Assistant Product Manager

Macy’s

New York, NY 10261

Flexible Schedule

New, Posted 5 hours ago

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Head of Growth Product | Remote Work | New York, New York, United States

Bairesdev

New York, NY 10261

Remote

New, Posted 5 hours ago

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Product Manager, Shopping (Remote-Eligible)

Capital One

New York, NY 10261

Remote

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Head of AlphaGen - Investor Research Product Engineering, Director

Blackrock

New York, NY 10007

HybridEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

Bachelor's degree in Computer Science, Engineering, or a related field; or equivalent practical experience.
Strategic Engineering Leadership: Proven experience leading large-scale engineering organizations through product transformation initiatives (e.g., platform modernization, cloud migration, operating model changes).
Demonstrated success in setting vision and executing across complex, multi-year technology programs.
Demonstrated strength in partnership-building and cross-functional collaboration.
Able to influence and align product teams, platform/infrastructure teams, and governance bodies around a common vision and roadmap.
Ability to operate in complex market and organizational contexts, translating strategic objectives into actionable plans.
Proven track record of driving innovation, navigating ambiguity, and delivering measurable outcomes at scale.
AI-First, Human-in-the-Loop: Embraces AI-driven solutions as a default for efficiency and scale, while keeping expert human judgment in critical loops to ensure quality and trust.
Platform Over People: Prioritizes building robust platforms and automation over relying on individual heroic efforts, enabling sustainable and scalable growth.
Single Front Door: Advocates for a unified user experience where researchers and stakeholders have one intuitive portal for all their needs, simplifying access and support.
Standardization Everywhere: Drives consistency in tools, processes, and data across the board, reducing complexity and improving interoperability and maintainability.
Self-Service as the Default: Champions self-service capabilities, empowering users to accomplish tasks independently (from data ingestion to model deployment) without bespoke engineering work.
Deep Co-Ownership with PMG: Fosters a culture of partnership with the Portfolio Management Group, aligning closely on priorities, sharing roadmaps and KPIs, and co-owning outcomes to ensure the platform truly meets investment teams' needs.
Alpha generation workflows or closely related quantitative research processes in finance/investments.
Cloud technologies and cloud-native architectural patterns (e.g., microservices, containerization, distributed computing e.g. Ray).
API-first platform design and developer experience best practices.
AI/ML applications for workflow automation, data validation, and operational excellence
Modern stack knowledge and skills - e.g. Python, Polars, Ray, MLFlow or equivalent technology