Director of Product Management, Generative AI Job at Mozilla (Remote)

Director of Product Management, Generative AI

Firefox isn’t just a browser. It’s where millions of people think, create, explo...

Location

Canada; United States

Salary:

Not provided

Mozilla

Expiration Date

Until further notice

Requirements

10+ years of product management experience, with a consistent track record of success
5+ years of direct PM management experience
Experience in launching customer-facing features and platforms that leverage AI
Exceptional written and verbal communication abilities, including experience interacting with senior executives
Proficiency in building hypotheses, building tests, and developing success metrics to inform product decisions
Ability to work independently at high velocity while aligning with the overall strategy
Deep understanding of user needs and behaviors, with a passion for creating products that delight users

Job Responsibility

Lead the vision, strategy, and execution for using generative AI to improve productivity and discovery, to solve user problems within the browser
Use cutting-edge technologies (e.g. Agentic AI, MCP) and design thinking to deliver outstanding solutions at industry-leading scale
Work closely with cross-functional teams to define product requirements, prioritize features, and deliver high-quality products that align with user needs and business goals
Collaborate with design and engineering teams to create well-designed, user-centric products that exceed business goals
Partner with business development teams to drive adoption of new features, champion partnerships, and develop new business opportunities that drive revenue growth
Track and analyze key product metrics to inform decisions and drive continuous improvement
Clearly articulate product plans, benefits, and outcomes to a wide range of audiences, including internal partners, leadership, employees, and users
Stay current with industry trends and emerging technologies to drive innovation and maintain Firefox's leadership position
Advocate for the role of generative AI, setting a transformational agenda that distinguishes Firefox as a leader in this space

What we offer

Generous performance-based bonus plans
Rich medical, dental, and vision coverage
Generous retirement contributions with 100% immediate vesting
Quarterly all-company wellness days
Country specific holidays plus a day off for your birthday
One-time home office stipend
Annual professional development budget
Quarterly well-being stipend
Considerable paid parental leave
Employee referral bonus program

Fulltime

Director of Product Management – AI Platform (Compute, Integrations & Cloud Infrastructure)

Location

India , Hyderabad, Telangana, India | Pune, Maharashtra, India | Bengaluru, Karnataka, India

Salary:

Not provided

Teradata

Expiration Date

Until further notice

Requirements

Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or related field (PhD preferred)
10+ years of product management experience, including 5+ years leading AI/ML or advanced analytics products
Deep technical expertise in AI/ML concepts, including LLMs, foundation models, supervised/unsupervised learning, fine-tuning, inference pipelines, and multi-modal AI
Proven success embedding AI into enterprise-scale platforms, especially in data management, analytics, or cloud environments
Strong technical fluency with AI infrastructure — including distributed training, inference optimization, GPU/accelerator integration, and workload orchestration
Experience defining APIs, SDKs, and developer integrations for enterprise AI adoption
Demonstrated knowledge of hybrid and multi-cloud architectures and their impact on AI performance, scalability, and cost optimization
Familiarity with governance and compliance frameworks (HIPAA, GDPR, SOC2) and applying them to AI/ML solutions
Exceptional communication skills with the ability to influence C-level stakeholders and articulate AI product strategy
Track record of customer engagement, market analysis, and competitive benchmarking in enterprise software

Job Responsibility

Serve as a senior Products leader driving Teradata’s AI product management strategy across our global portfolio
Define and influence how Teradata integrates AI/ML technologies into our enterprise-scale data and analytics platforms
Shape how customers harness Teradata’s VantageCloud and data warehouse capabilities through AI-driven insights, automation, and intelligent applications
Set the roadmap for embedding AI into mission-critical workloads, balancing innovation with performance, governance, and compliance
Deliver enterprise-grade AI solutions optimized for hybrid and multi-cloud deployments, unlocking measurable customer value while ensuring scalability, reliability, and cost-efficiency of AI workloads
Collaborate with engineering, cloud infrastructure, data science, UX, and governance functions to bring next-generation AI capabilities into Teradata’s enterprise ecosystem
Define the product vision, roadmap, and execution of AI initiatives, ensuring they meet both business and technical objectives
Report to the VP of Product Management and partner closely with product engineering and platform leaders worldwide
Act as the strategic AI product leader for Teradata, influencing global product direction

What we offer

People-first culture
Flexible work model
Focus on well-being
Commitment to an inclusive environment

Fulltime

Director, AI & Data Strategy - Technical Product Management for Responsible AI - Commercialization

As a Director level Technical Product Manager for Responsible AI within the AI G...

Location

Singapore , Singapore

Salary:

Not provided

Mastercard

Expiration Date

Until further notice

Requirements

A strong academic background in Computer Science, Data Science, Engineering, Mathematics, Statistics, or equivalent practical experience
Hands on experience building, testing, approving, and deploying data science or AI systems including post deployment lifecycle management
Demonstrated success delivering production grade AI platforms or tooling intended for external use
Experience working directly with external stakeholders such as customers, government agencies, regulators, vendors, or systems integrators
Proven ability to operate in ambiguous environments, drive decisions through influence, and communicate clearly with both technical and non technical audiences
Technical Skills
Experience building or scaling Responsible AI or AI governance tooling for external use
Experience designing or integrating governance capabilities including monitoring, documentation, approval workflows, and lifecycle controls
An understanding of the responsible AI marketplace and key products within the domain
Long term work eligibility for Singapore

Job Responsibility

Technical Product Management Responsible AI Commercialization
Collaborate with internal teams to define the productization strategy for Responsible AI tooling, evolving internal platforms and prototypes into sellable products or consulting accelerators
Define and manage technical product requirements including epics, acceptance criteria, and dependencies with an explicit focus on external usability, operability, and governance defensibility
Establish product standards for commercial readiness including documentation, audit evidence, configuration guidance, versioning, and support and operating models
Translate complex data science and Responsible AI concepts into clear client ready value propositions and provide precise direction to engineering teams
Track outcomes and adoption signals to identify when Responsible AI tools or services require refinement, modularization, repositioning, or retirement
Solution Architecture Deployable and Client Ready Responsible AI
Engage directly with customers, government agencies, regulators, and partners to understand deployment environments, security models, regulatory requirements, and operational constraints
Design end to end Responsible AI by design systems that integrate data pipelines, models or large language models, orchestration layers, APIs, monitoring, human oversight, and documentation
Translate governance and regulatory expectations into implementable system designs with clear operational controls, accountability, and evidence generation

Fulltime

Director of Product Management (Application Acceleration and Security)

As the Director of Product Management (App Acceleration & Security), you will se...

Location

United States , Santa Clara

Salary:

Not provided

Palo Alto Networks

Expiration Date

Until further notice

Requirements

10+ years in Product Management, including at least 5 years in a senior leadership role
Proven ability to build products from the ground up to significant revenue, as well as optimizing existing high-scale product lines
Deep understanding of SASE architecture, Next-Generation Firewalls, edge computing, WAF, and Bot Management
Hands-on experience writing and refining AI model evaluations
Demonstrated ability to 'influence the influencers' and drive alignment across large, complex organizations without direct authority
Proven track record of managing product financials, including gross margin analysis and unit economics
Bachelor’s degree in Computer Engineering, Computer Science, or a related technical field

Job Responsibility

Define a multi-year vision for the App Acceleration and App Security business units, ensuring seamless integration into broader SASE frameworks
Direct the evolution of firewall capabilities, including WAF, NGFW, and Distributed Cloud Firewalls, to support modern distributed workloads
Establish and maintain a 'Competitive Moat' to ensure continuous technical superiority over both legacy and emerging competitors
Drive the unification of security policies and user interfaces following acquisitions to ensure the customer experience is intuitive and cohesive, rather than a reflection of internal organizational silos
Establish standards for AI model evaluations and coach individual contributors on perfecting these evals to ensure product quality and relevance
Drive the commercial health and P&L influence of product lines, specifically optimizing Blended Margins across hardware, software, and cloud services
Lead the scaling of product lines from early-stage development to significant revenue milestones, while simultaneously managing and expanding established portfolios
Collaborate with Engineering and Operations to manage COGS, ensuring high-performance security inspection remains cost-effective
Develop value-based pricing models that reflect the converged value of networking and security
Lead the IP strategy by identifying patent opportunities in areas like low-latency security processing and automated threat mitigation

What we offer

restricted stock units and a bonus

Fulltime

Director, Product Management- Enterprise AI

Director, Product Management- Enterprise AI. Product Management at Capital One i...

Location

United States , McLean, Virginia | Richmond, Virginia | New York, New York | Chicago, Illinois

Salary:

209500.00 - 286900.00 USD / Year

Capital One

Expiration Date

Until further notice

Requirements

At least 7 years of experience working in Product Management
A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, Computer Engineering, Software Engineering, Mechanical Engineering, Information Systems or a related quantitative field)
A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, Computer Engineering, Software Engineering, Mechanical Engineering, Information Systems or a related quantitative field) or an MBA with a quantitative concentration

Job Responsibility

Establish Strategic Vision: Own the AX AI roadmap and governance standards to manage risk, prioritize high-value use cases, and ensure our infrastructure supports the broader Enterprise AI roadmap
Lead Product Execution: Direct a team focused on integrating core services with AI agents, utilizing agentic frameworks and orchestration protocols as the baseline for our vision
Drive User Enablement: Champion AI adoption through standardized prompt/interaction patterns and comprehensive enablement programs to drive workforce proficiency
Drive Cross-Functional Alignment: Work seamlessly across lines of business (LOBs) to establish governance protocols, consolidate disparate AI initiatives, and build a cohesive ecosystem

What we offer

Performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)
comprehensive, competitive, and inclusive set of health, financial and other benefits

Fulltime

Ai Director / Head Of Ai

We are currently at a defining crossroads of our digital evolution, shedding leg...

Location

Singapore , Singapore

Salary:

20000.00 - 24000.00 SGD / Month

Randstad

Expiration Date

July 12, 2026

Requirements

Advanced degree (MSc/PhD) in AI, Computer Science, or a related technical field.
Significant experience leading AI/ML product teams with deep expertise in LLMs, Generative AI, and MLOps (Azure/Databricks preferred).
A proven track record of connecting AI initiatives to volume growth, sales efficiency, and profit.
Exceptional ability to translate advanced AI concepts into business language that inspires stakeholders.
Experience in fast-paced, global transforming environments

Job Responsibility

Serve as the high-stakes 'translator' between technical engineering and the C-suite, identifying the exact point where AI innovation creates measurable commercial growth.
Scale and mentor a premier squad of 5–10 AI specialists in Singapore, championing a 'fail-fast, learn-faster' mindset to accelerate time-to-market.
Mastermind the global rollout of transformative tools from GenAI copilots to hyper-personalized recommendation engines that redefine the customer journey.
Build deep-rooted alliances within the world-class Singapore tech scene, academic circles, and specialized AI vendor networks to keep the organization at the frontier of R&D.

What we offer

company perks and benefits

Director, Product Management - AI/ML, Core Product

Abridge’s ability to deliver the most accurate, personalized, and clinically use...

Location

United States , San Francisco

Salary:

257550.00 - 272700.00 USD / Year

Abridge

Expiration Date

Until further notice

Requirements

7 to 10+ years of product management experience with significant ownership of ML powered products or platform systems
Experience managing PMs and leading high performance product teams
Deep understanding of how to measure and improve model quality, including evaluation frameworks, annotation pipelines, and benchmark design
Strong technical fluency across ML, data pipelines, and distributed systems
Experience working closely with ML researchers and engineers to drive impact in production
Ability to balance long term architectural investments with near term quality improvements
Strong communication skills and the ability to translate complex technical concepts into clear decisions and narratives
A track record of delivering high quality products in domains where accuracy, reliability, and trust are paramount

Job Responsibility

Lead AI product strategy for Note Generation
Oversee the evaluation platform and measurement systems
Drive depth across specialties and clinical contexts
Lead and develop a team of PMs
Foster a culture of excellence, speed, and accountability
Cross functional leadership

What we offer

Generous Time Off
Comprehensive Health Plans: Medical, Dental, and Vision coverage
Generous HSA Contribution
Paid Parental Leave
Family Forming Benefits
401(k) Matching
Personal Device Allowance
Pre-tax Benefits
Lifestyle Wallet
Mental Health Support

Fulltime

Director of AI Engineering

Mastercard is seeking a Director of AI Engineering to lead a specialised team of...

Location

Ireland , Dublin 18

Salary:

Not provided

Mastercard

Expiration Date

Until further notice

Requirements

Proven experience leading teams delivering AI/ML solutions in production, particularly in use-case driven environments
Strong hands-on understanding of transformer architectures and generative AI, including fine-tuning, prompting, embeddings, and evaluation
Experience bridging model development and real-world application, translating AI capabilities into business impact
Solid engineering background, with familiarity with Python, ML frameworks (e.g. PyTorch/TensorFlow), and production deployment patterns
Experience working with data engineering and MLOps practices to support training, evaluation, and inference at scale
Strong stakeholder management skills, with the ability to align technical delivery to business priorities and measurable outcomes
Demonstrated ability to lead and develop high-performing teams, providing technical direction, coaching, and delivery oversight
Comfortable operating in a fast-moving, evolving AI landscape with ambiguity and shifting priorities
Excellent communication skills, able to articulate complex AI concepts to both technical and non-technical audiences

Job Responsibility

Lead a team of AI engineers focused on foundation model development, fine-tuning, and optimisation, particularly transformer-based and generative AI systems
Drive the end-to-end delivery of AI use cases, from problem definition through model integration and production deployment
Partner with product and business stakeholders to identify and prioritise high-impact AI use cases, translating them into clear technical execution plans
Ensure effective use of foundation models across use cases, including prompting strategies, embeddings, fine-tuning, evaluation, and performance optimisation
Collaborate with data engineering and platform teams to ensure data readiness, model integration, and scalable deployment patterns
Establish best practices for model evaluation, experimentation, and continuous improvement, ensuring solutions are robust and measurable
Embed responsible AI practices, including model validation, bias considerations, and appropriate guardrails
Provide technical guidance and coaching to engineers, ensuring high standards in both AI development and software engineering practices
Track delivery progress, manage risks, and ensure timely, high-quality execution of use cases aligned to program priorities

Fulltime

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Director of Product Management, Generative AI

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