648 Head Of Product Development Lps X F M jobs in New York,NY

New, Posted 5 hours ago

CIB Head of Market Risk for Securitized Products Trading, Executive Director

Santander Holdings USA

New York, NY 10025

Onsite

Bachelor's Degree or equivalent work experience: Business, Finance, Management, or equivalent field. – Required.
Graduate degree in a quantitative field preferred.
In-depth understanding of products and trading strategies across agency and non-agency securitized products
Strong knowledge of prepayment and valuation methodologies for securitized products.
Ability to advise trading desks on risk taking/mitigation and (regulatory) capital usage
Strong cross-functional expertise (e.g., market risk, finance, model risk management, technology)
Strong knowledge of regulatory standards and experience with market risk methodologies (e.g., VaR, ES, CCAR, stress testing)
Solid quantitative skills (e.g., statistics, probability theory, derivatives valuation) and basic programming skills (e.g., Python).
Superior verbal and written communication skills including the ability to tailor a message to the relevant audience (e.g., trading desk, senior management, regulators, quantitative developers)
Experience in managing teams and proven people management skills
Ability to independently operate in a complex, matrixed environment; adept at delivering and maintaining productive working relationships across business, functions, geographies and lines of defense.

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Principal Product Manager-Tech, Advertising

Amazon.com Services LLC

New York, NY 10261

OnsiteHealth InsurancePaid Time OffRetirement Benefit

10+ years of technical product or program management experience
3+ years of end to end product delivery experience
Experience leading engineering discussions around technology decisions and strategy related to a product
Experience with feature delivery and tradeoffs of a product
Experience owning/driving roadmap strategy and definition
Experience leading cross-organizational programs and setting and holding teams and individuals to timelines and deliverables without explicit authority
Experience working with and influencing senior level stakeholders
Bachelor's degree

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Product Development Scientist, Baby Care R&D

Kenvue

Summit, NJ 07901

Hybrid~ 39 minPaid Time Off

A minimum of a Bachelor's degree in a relevant subject area (Science, Engineering, Pharmacy with pharmaceutical or consumer (cosmetics, OTC) experience) with at least 5 years of related industry experience, a Master's degree with 3-5 years related experience, or a PhD in a relevant subject area is required.
A degree in Chemistry, Chemical Engineering, Industrial Pharmacy, Material Science or other science or engineering discipline is preferred.
Strong organizational and interpersonal skills and ability to work in a matrixed environment, successfully partnering with multidisciplinary teams is required
MS Office (Word and Excel) proficiency, excellent oral and written communication skills are required
Effective presentations skills that are used to communicate clearly & informatively

SmartExplore AI is experimental.

New, Posted 1 day ago

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Vice President, Product Designer

BNY

New York, NY 10261

$68,000-$203,000/yr

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Principal Product Manager - Technical, Amazon Demand Tech Campaign Creation

Amazon Advertising LLC

New York, NY 10261

OnsiteHealth InsurancePaid Time OffRetirement Benefit

8+ years of technical product or program management experience
2+ years of end to end product delivery experience
Bachelor's degree
Experience with feature delivery and tradeoffs of a product
Experience owning/driving roadmap strategy and definition
Experience leading engineering discussions around technology decisions and strategy related to a product

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Head of AI Data Science, Intelligence Ventures

Spectrum

New York, NY 10036

Onsite

Deep expertise in transformer-based sequence modeling and its application to behavioral or interaction data at consumer scale — including architecture design, training methodology, fine-tuning, and embedding quality evaluation
Proven track record developing and deploying household- or user-level embedding models applied to real-world use cases in media, marketing, commerce, and/or customer intelligence — not just research environments. Demonstrated understanding of the unique characteristics of behavioral sequence data: sparsity, temporal dynamics, multi-entity structure, and the signal differences between behavioral intent and explicit interaction
Strong command of the full data science lifecycle in production settings — from exploratory data analysis and feature engineering through model training, validation, deployment, monitoring, and iteration — at large dataset scale (billions, even trillions of records)
Hands-on proficiency with Python, PyTorch or TensorFlow, and distributed ML training frameworks; experience running ML workloads on cloud platforms (AWS SageMaker, Snowflake Cortex, Databricks, or equivalent)
Experience designing and operationalizing feature stores and predictive modeling pipelines that serve downstream intelligence products, audiences, or decision systems in production environments
Ability to communicate complex AI/ML concepts clearly to non-technical executive audiences, product stakeholders, and external partners; comfort operating as an external-facing technical spokesperson for the platform's modeling capabilities and intelligence differentiation
Track record of leading and growing high-performing data science teams; experience recruiting and developing senior ML talent in competitive markets
Genuine intellectual curiosity about the application of AI to behavioral science, consumer intelligence, and agentic systems; awareness of the evolving landscape of foundation models, retrieval-augmented generation, and multi-agent AI architectures
Bachelor's Degree in Computer Science, Statistics, Mathematics, or a related quantitative field
Experience leading applied ML or data science teams building consumer-facing or enterprise intelligence products — 7 years
Hands-on experience designing and training transformer or deep learning models on sequential behavioral data at scale — 5 years
In-office position preferably based in New York City
Travel as required for partner engagements, executive meetings, and industry events

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Sr Product Manager, Tech - Ad Products, Prime Video

Amazon.com Services LLC

New York, NY 10261

OnsiteHealth InsurancePaid Time OffRetirement Benefit

Experience owning/driving roadmap strategy and definition
Experience with feature delivery and tradeoffs of a product
Experience contributing to engineering discussions around technology decisions and strategy related to a product
Experience in representing and advocating for a variety of critical customers and stakeholders during executive-level prioritization and planning
Experience in technical product management, program management or engineering
Experience with end to end product delivery
You must have strong business judgment, customer obsession, and be technical with a passion for streaming and digital advertising.
You must be able to thrive and succeed in an entrepreneurial environment and not be hindered by ambiguity.
This means you are not only able to develop and drive high-level strategic initiatives, but can also roll up your sleeves and get the job done.
You leverage mental models and data-driven decision making, and can effectively communicate verbally, and in writing, with leaders of all levels.

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Head of AI Data Science, Intelligence Ventures

Spectrum Careers

New York, NY 10025

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Head of Technology, Intelligence Ventures

Spectrum

New York, NY 10036

Onsite

Deep expertise across the full intelligence platform stack — including distributed data pipelines, ML platform architecture, embedding systems, feature stores, agent-to-agent API design, and LLM-powered application layers — with demonstrated ability to architect and ship all layers as a coherent, production-grade product
Demonstrated experience architecting and operating consumer data intelligence or data product platforms underpinned by complex machine learning systems and built on modern, cloud-native data infrastructure
Hands-on proficiency with Snowflake (including Cortex, Native Apps, and data sharing frameworks), cloud data platforms (AWS, Azure, or GCP), and production ML/AI systems at scale
Experience building agentic AI systems and LLM-powered product interfaces — including agent-to-agent APIs, retrieval-augmented generation architectures, and natural language UIs grounded in proprietary data — with strong product instincts around accuracy, trust, and user experience for non-technical enterprise audiences
Proven ability to translate complex technical architecture into clear executive and partner-facing communications; comfortable engaging at the C-suite level and in strategic partner negotiations with hyperscalers and technology platforms
Strong understanding of privacy-preserving data architecture, including differential privacy, de-identification techniques, zero-copy and clean room frameworks, and the regulatory landscape governing consumer behavioral data
Track record of recruiting and developing exceptional engineering talent in competitive markets; experience building high-performance teams from early-stage through scaled operations
Experience managing external development partners and outsourced engineering resources alongside an internal team in a fast-moving, build-from-scratch environment
Ability to operate in an ambiguous, early-stage environment while maintaining rigorous engineering standards and delivering against aggressive milestones
Experience building externally-consumed data or intelligence platforms — including developer-facing APIs, data marketplace integrations, or partner-accessible data products — with strong instincts around developer experience, access governance, and commercial platform design
Bachelor's Degree in Computer Science, Software Engineering, Electrical Engineering, or a related technical field
Experience leading consumer data intelligence, AI/ML platform, or data product engineering organizations — 10 years
Engineering leadership and team-building experience, including managing senior technical staff — 7 years

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New, Posted 2 hours ago

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Principal Product Manager

UVEye

Teaneck, NJ 07666

RemoteHealth InsurancePaid Time OffRetirement Benefit

10+ years proven experience in Product Management and R&D;
Hands-on approach to modern development, including: Modern IDEs & Tools: Proficient with Visual Studio Code and Cursor.
Expert-level use of LLM-based coding agents and AI-assisted development to accelerate prototyping.
AI-Native Workflows: Full-Stack Fundamentals: Strong grasp of both Backend and Frontend architecture to guide technical decision-making.
Advanced experience in product discovery workflows and UX design principles, ensuring a seamless bridge between complex technology and user-centric value.
Revenue-Driven Mindset: Demonstrated ability to translate product features and platform capabilities into measurable business impact and revenue growth.
Exceptional communication skills with the ability to navigate complex stakeholder landscapes, influencing engineers, executives, and external partners without formal authority.
A high-autonomy "owner" mindset, comfortable leading through ambiguity and taking full accountability for end-to-end outcomes.

SmartExplore AI is experimental.