Product Manager - Data Infra Privacy and Secruity
Menlo Park, CA
Meta
Giving people the power to build community and bring the world closer together
AIDR org (within Data Infra) addresses critical company problems at the intersection of data and models, delivering on our mission to enable responsible, safe and frictionless use of AI and data at Meta. Across Meta, shared problems exist related to increasing cost of privacy compliance; lack of privacy awareness in ML and Analytics dev workflow; and lack of trust and consistency in decision making. Come and be a part of this exciting space to help build data products to accelerate developer productivity and make privacy and security compliance more efficient.
As a PM supporting this org, you will help the analytics and ML community across Meta, unlock the potential of their organizations data through deep understanding and curation of their assets by working closely with two key pillars of the AIDR org - responsible for asset understanding and asset life cycle management.
Teams and areas of focus
Asset understanding pillar develops data products to serve the needs of DE’s and MLE’s across Meta to help them understand the semantics and context associated with the assets they work with (tables, models, features etc). This enables them to answer questions such as: what is the asset, which user(s) does it belong to, and what is it being used for (among others). This understanding helps unlock the potential of this data for analytics, privacy and security use cases. Our long term vision for asset understanding is a well-understood warehouse that allows us to efficiently address the problems mentioned above.
Asset lifecycle management pillar develops data products to serve the needs of DE’s and MLE’s across Meta to help them reduce the total ownership costs of assets they work with (tables, models, features etc). This enables them to unlock the potential of this data for analytics, privacy and security use cases. The long term vision for this problem domain is to enable Meta to track and manage AI and data warehouse assets (for example, training data, features and models) throughout their lifecycle meanwhile fulfilling privacy commitments and requirements efficiently.Product Manager - Data Infra Privacy and Secruity Responsibilities
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.
As a PM supporting this org, you will help the analytics and ML community across Meta, unlock the potential of their organizations data through deep understanding and curation of their assets by working closely with two key pillars of the AIDR org - responsible for asset understanding and asset life cycle management.
Teams and areas of focus
Asset understanding pillar develops data products to serve the needs of DE’s and MLE’s across Meta to help them understand the semantics and context associated with the assets they work with (tables, models, features etc). This enables them to answer questions such as: what is the asset, which user(s) does it belong to, and what is it being used for (among others). This understanding helps unlock the potential of this data for analytics, privacy and security use cases. Our long term vision for asset understanding is a well-understood warehouse that allows us to efficiently address the problems mentioned above.
Asset lifecycle management pillar develops data products to serve the needs of DE’s and MLE’s across Meta to help them reduce the total ownership costs of assets they work with (tables, models, features etc). This enables them to unlock the potential of this data for analytics, privacy and security use cases. The long term vision for this problem domain is to enable Meta to track and manage AI and data warehouse assets (for example, training data, features and models) throughout their lifecycle meanwhile fulfilling privacy commitments and requirements efficiently.Product Manager - Data Infra Privacy and Secruity Responsibilities
- Is the primary driver for identifying significant opportunities, and driving product vision, strategies and roadmaps in the context of broader organizational strategies and goals.
- Understand Meta’s strategic and competitive position and deliver products that are aligned with our mission and recognized best in the industry.
- Maximize efficiency in a constantly evolving environment where the process is fluid and creative solutions are the norm.
- Incorporate data, research, and market analysis to inform product strategies and roadmaps.
- Plan, initiate, and manage information technology projects for web-based products and platforms.
- Lead the ideation, technical development, and launch of innovative tools, platforms, and/or products.
- Drive product development with teams of world-class engineers and designers, while maintaining team health.
- Work closely with cross-functional teams to drive product vision, define product requirements, coordinate resources from other groups (design, legal, etc.), and guide the team through key milestones.
- Integrate usability studies, research, and market analysis into product requirements to improve engineer productivity and enhance user satisfaction.
- Define and analyze metrics that inform the success of products. Identify and track key performance metrics.
- Developing a long term strategy for asset understanding and lifecycle management (including data and AI assets) empowering responsible analytics and AI development and usage, while safeguarding the privacy and security of our users' data.
- Partner across the company with PGs, privacy review team, tech audit, privacy PMs and product groups to establish and align on a vision for driving adoption of asset understanding and lifecycle management capabilities.
- 8+ years product management or related industry experience
- Requires a Bachelor's degree (or foreign degree equivalent) in Computer Science, Engineering, Information Systems, Analytics, Mathematics, Physics, Applied Sciences, or a related field and 2+ years of experience in the following:
- Experience in product management or product design
- Experience working in a technical environment with a broad, cross functional team to drive product vision, define product requirements, coordinate resources from other groups (design, legal, etc.), and guide the team through key milestones
- Experience delivering technical presentations
- Experience in analyzing complex, large-scale data sets and making decisions based on data
- Experience in gathering requirements across diverse areas and users, and converting and developing them into a product solution
- Experience in technical experience with analytical tools, methodologies, and design
- Displaying leadership, organizational and execution skills
- Proven communication skills
- Experience defining vision and strategy for a product.
- Experience going through a full product lifecycle, integrating customer feedback into product requirements, driving prioritization and pre/post-launch execution.
- Experience recruiting and leading a cross-functional team of world-class individuals.
- Enthusiastic and resilient in a constantly evolving environment where the process is fluid and creative solutions are the norm.
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.
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Categories:
Leadership Jobs
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Tags: Computer Science Data warehouse Engineering Machine Learning Mathematics Physics Privacy Research Security VR
Perks/benefits: Competitive pay Equity / stock options Health care Salary bonus
Region:
North America
Country:
United States
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