Senior Director, Generative AI Product Management

Who are we?
Equinix is the world’s digital infrastructure company®, shortening the path to connectivity to enable the innovations that enrich our work, life and planet.
A place where bold ideas are welcomed, human connection is valued, and everyone has the opportunity to shape their future.
A career at Equinix means being at the center of shaping what comes next and amplifying customer value through innovation and impact. You’ll work across teams, influence key decisions, and help shape the path forward. You’ll find belonging, purpose, and a team that welcomes you—because when you feel valued, you’re empowered to do your best work.
Job Summary
We’re looking for a Senior Director of Generative AI Product Management to own the strategy, development, and delivery of Generative AI–powered products. This role sits at the intersection of product vision, cutting-edge AI technology, and real customer value. You’ll translate fast-moving GenAI capabilities into scalable, safe, and impactful products.
This role is responsible for driving Equinix’s applied Generative AI strategy, operate as an embedded Gen AI expert across Go to Market, Operations, Product, and Corporate domains, advising, partnering, or leading initiatives based on strategic priority and readiness.
Responsibilities
Gen AI Product Strategy & Vision

Define and own the GenAI product vision, roadmap, and success metrics in alignment with strategic business goals, and short and long-term priorities
Serve as the SME to work across domain on how Equinix embed Gen AI in internal analytics, workflows, and customer facing process to drive revenue and efficiency impact
Communicate to Enterprise employees and Executives on GenAI tools and features are enabled
Decide what to build as reusable enterprise capability (e.g., a central RAG infrastructure, prompt management layer) vs. bespoke domain solutions
Stay ahead of GenAI trends (LLMs, multimodal models, agents, RAG, fine-tuning, evaluation frameworks) and drive innovation in the company
Use Case Discovery & Qualification

Own Enterprise GenAI strategy and execution for Equinix ‘Sidekick’ and build a Platform vision for reusable components of Sidekick
Define vision of RAG-AS-Service and Agents-as-Service
Define vision of how Sidekick can coexist with SAAS Native GenAI agents along with few internal high value Agents
A Startup mindset of building Sidekick as a Product for solving diverse domains in Enterprise
Proactively mine the organization for high-value Gen AI opportunities
Build a Training academy of the Sidekick platform and LLM/LLR fundamentals to accelerate Sidekick adoption
Distinguish between "cool demos" and production-worthy investments
Build a scoring framework: business impact × feasibility × data readiness × risk
Work with Business Operations and finance counter parts to enable prioritization across use cases
Execution & Delivery

Lead end-to-end product development from discovery to launch
Drive actual usage, not just deployment
Build training, documentation, and change management into every launch
Drive rapid experimentation, MVPs, and iterative improvements
AI & Model Collaboration

Work with ML/AI teams on model selection, prompting strategies, fine-tuning, and evaluation
Make trade-offs between latency, cost, accuracy, and safety
Ensure responsible AI practices (privacy, bias, explainability, compliance)
Governance & Risk Management

Partner with Data Governance leader to define guardrails: what data can flow to which models, what use cases are off-limits
Partner with Legal, Security, and Compliance on policy
Own the responsible AI framework: bias testing, hallucination monitoring, human-in-the-loop requirements
Qualifications

Analytical problem solver with the ability to work under pressure and multitask while leading cross-functional teams
Excellent communicator able to simplify the complex
Ability to build and maintain strong business relationships with key stakeholders as a trusted advisor
Ability to demonstrate ownership and proactively drive initiatives
Ability to balance collaboration and driving alignment, and being decisive
Minimum of 8 years’ experience in Product Management and/or Data Science, preferably within the data/analytics domain, either internal facing or both internal and customer facing products (e.g., commercialized and generating revenue)
Track record of leading successful AI/ML or Generative AI product related programs from project initiation through development and implementation, with quantified success metrics
Strong understanding of LLM concepts (prompting, RAG, embeddings, fine-tuning, agents)
Proven ability to lead cross-functional teams and ship products at scale
Excellent communication and interpersonal skills, with proven track record of building strong relationships with business stakeholders
Experience operating in a highly cross functional, multinational business
Dynamic, forward-thinking leader with a bias for action, rapid experimentation, and ability to break down complex problems
Preferred:
Experience launching customer facing Gen AI products
Prior experience in Data Center, Cloud, Telecommunications, IT industry
Advanced degree (Masters or PhD) in Data Science, Computer Science, Statistics, Physics, Engineering, or a related field.
Experience with OpenAI, Anthropic, Google, or open-source LLMs
Familiarity with MLOps, model evaluation, and AI observability tools
Background in B2B SaaS, platforms, or developer-focused products
Experience building copilots, chat interfaces, or AI-powered workflows
The targeted pay range for this position in the following location is / locations are:
United States - Redwood City Office GHQ : 240,000 - 360,000 USD / Annual
United States - CA Bay Area : 240,000 - 360,000 USD / Annual
United States - CA Non-Bay Area, AK, CT, DC, IL, MD, MA, NJ, NY, VA, WA : 220,000 - 330,000 USD / Annual
United States - Other posted locations not specifically listed : 200,000 - 300,000 USD / Annual
Our pay ranges reflect the minimum and maximum target for new hire pay for the full-time position determined by role, level, and location. The pay range shown is based on our compensation structure in place at the time of posting and may be updated periodically based on business needs. Individual pay is based on additional factors including job-related skills, experience, and relevant education and/or training.
The targeted pay range listed reflects the base pay only and does not include bonus, equity, or benefits. Employees are eligible for bonus, and equity may be offered depending on the position.
Equinix Benefits
As an employee, you become important to Equinix’s success. We ensure all your benefits are in line with our core values: competitive, inclusive, sustainable, connected and efficient. We keep them competitive within the current marketplace to ensure we’re providing you with the best package possible. So, wherever you are in your career and life, you’ll be able to enhance your experience and bring your whole self to work.
Employee Assistance Program : An Employee Assistance program is available to all employees.
US Benefits: - Insurance: You may enroll in health, life, disability and voluntary plans that are designed for you and your eligible family members. - Retirement: You and Equinix may contribute to a retirement plan to help you plan for your financial future. - Paid Time Off (PTO) and Paid Holidays: You will receive an accrued amount of PTO each pay period along with various paid holidays for you to rest and recharge. Eligibility requirements apply to some benefits. Benefits are subject to change and may be subject to specific plan or program terms.
Equinix is committed to ensuring that our employment process is open to all individuals, including those with a disability. If you are a qualified candidate and need assistance or an accommodation, please let us know by completing this form.
Equinix is an Equal Employment Opportunity and, in the U.S., an Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to unlawful consideration of race, color, religion, creed, national or ethnic origin, ancestry, place of birth, citizenship, sex, pregnancy / childbirth or related medical conditions, sexual orientation, gender identity or expression, marital or domestic partnership status, age, veteran or military status, physical or mental disability, medical condition, genetic information, political / organizational affiliation, status as a victim or family member of a victim of crime or abuse, or any other status protected by applicable law.
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