Director, Product Management (AI Infrastructure)

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  • Location:
    San Jose, California, US
  • Area of Interest
    Engineer - Network
  • Compensation Range
    223100 USD - 314200 USD
  • Job Type
    Professional
  • Technology Interest
    AI or Artificial Intelligence, Cloud & AI (DCN & Compute), Cloud and Data Center, Internet & Mass Scale Infrastructure
  • Job Id
    1445536

The application window is expected to close on: July 15th, 5 PM ET 2025


Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received.


Meet the Team


We are an innovation team on a mission to transform how enterprises harness AI. Operating with the agility of a startup and the focus of an incubator, we’re building a tight-knit group of AI and infrastructure experts driven by innovative ideas and a shared goal: to rethink systems from the ground up and deliver breakthrough solutions that redefine what's possible - faster, leaner, and smarter.


We thrive in a fast-paced, experimentation-rich environment where new technologies aren’t just welcome — they’re expected. Here, you'll work side-by-side with top-tier engineers, architects, and thinkers to craft the kind of iconic products that can reshape industries and unlock entirely new models of operation for the enterprise.


If you're motivated by the challenge of solving hard problems, love working at the edge of the latest innovations in the industry, and want to help craft the future of Infrastructure for Artificial Intelligence infrastructure -we'd love to meet you.


Your Impact


As Director of Product, you will be instrumental in defining and delivering the next generation of enterprise-grade AI infrastructure. You’ll lead the product vision for a software platform that enables scalable, cost-efficient, and high-performance AI workloads across on-prem and cloud environments.


Your work will directly impact how data scientists, ML engineers, and infrastructure teams develop, deploy, and scale AI — from foundation models to real-time inference — across heterogeneous hardware and hybrid environments. You’ll help abstract away complexity while providing deep control, visibility, and performance tuning capabilities, empowering enterprises to move faster and innovate with confidence.


  • Own and articulate the product strategy, and roadmap for our AI infrastructure platform.
  • Lead and grow a small team of high-performing PMs, nurturing a culture of ownership, experimentation, and rapid learning.
  • Serve as a key voice in planning, positioning, and cross-functional initiatives — from partnerships to customer engagements.
  • Explore opportunities across MLOps, GenAI pipelines, FinOps, and AI observability to build compelling platform capabilities.
  • Drive differentiation through close alignment with hardware advancements (GPUs, AI accelerators, storage, networking).
  • Engage with strategic customers and field teams to identify emerging needs, validate direction, and incorporate feedback into product decisions.
  • Work closely with engineering and product teams to plan, implement, and optimize agile sprints, ensuring the timely and successful delivery of software releases.
  • Partner with engineering, architecture, and go-to-market teams to build features that span orchestration, observability, and governance.
  • Leverage Jira to lead product backlogs, track progress, and enhance transparency and collaboration across cross-functional teams.

Minimum Qualifications


  • 10+ years of product management experience, with at least 3 - 5 years in a leadership role within infrastructure, cloud, or AI platforms.
  • Proven success launching enterprise grade technical products involving orchestration, compute scheduling, model serving, or similar systems.
  • Solid understanding and demonstrable experience with AI infrastructure: GPUs, model training and inference lifecycle, Kubernetes, containerization, multi-tenant environments or similar.

Preferred Qualifications


  • Experience collaborating with enterprise customers and aligning product vision to strategic needs.
  • Technical background (CS, EE, or similar); advanced degree or MBA a plus.
  • Experience with MLOps ecosystems (MLflow, Kubeflow), observability, or FinOps in AI.

#WeAreCisco where every individual brings their unique skills and perspectives together to pursue our purpose of powering an inclusive future for all.

Our passion is connection—we celebrate our employees’ diverse set of backgrounds and focus on unlocking potential. Cisconians often experience one company, many careers where learning and development are encouraged and supported at every stage. Our technology, tools, and culture pioneered hybrid work trends, allowing all to not only give their best, but be their best.

We understand our outstanding opportunity to bring communities together and at the heart of that is our people. One-third of Cisconians collaborate in our 30 employee resource organizations, called Inclusive Communities, to connect, foster belonging, learn to be informed allies, and make a difference. Dedicated paid time off to volunteer—80 hours each year—allows us to give back to causes we are passionate about, and nearly 86% do!

Our purpose, driven by our people, is what makes us the worldwide leader in technology that powers the internet. Helping our customers reimagine their applications, secure their enterprise, transform their infrastructure, and meet their sustainability goals is what we do best. We ensure that every step we take is a step towards a more inclusive future for all. Take your next step and be you, with us!

Message to applicants applying to work in the U.S. and/or Canada:

When available, the salary range posted for this position reflects the projected hiring range for new hire, full-time salaries in U.S. and/or Canada locations, not including equity or benefits. For non-sales roles the hiring ranges reflect base salary only; employees are also eligible to receive annual bonuses. Hiring ranges for sales positions include base and incentive compensation target. Individual pay is determined by the candidate's hiring location and additional factors, including but not limited to skillset, experience, and relevant education, certifications, or training. Applicants may not be eligible for the full salary range based on their U.S. or Canada hiring location. The recruiter can share more details about compensation for the role in your location during the hiring process.

U.S. employees have access to quality medical, dental and vision insurance, a 401(k) plan with a Cisco matching contribution, short and long-term disability coverage, basic life insurance and numerous wellbeing offerings.

Employees receive up to twelve paid holidays per calendar year, which includes one floating holiday (for non-exempt employees), plus a day off for their birthday. Non-Exempt new hires accrue up to 16 days of vacation time off each year, at a rate of 4.92 hours per pay period. Exempt new hires participate in Cisco’s flexible Vacation Time Off policy, which does not place a defined limit on how much vacation time eligible employees may use, but is subject to availability and some business limitations. All new hires are eligible for Sick Time Off subject to Cisco’s Sick Time Off Policy and will have eighty (80) hours of sick time off provided on their hire date and on January 1st of each year thereafter.  Up to 80 hours of unused sick time will be carried forward from one calendar year to the next such that the maximum number of sick time hours an employee may have available is 160 hours. Employees in Illinois have a unique time off program designed specifically with local requirements in mind. All employees also have access to paid time away to deal with critical or emergency issues. We offer additional paid time to volunteer and give back to the community.

Employees on sales plans earn performance-based incentive pay on top of their base salary, which is split between quota and non-quota components. For quota-based incentive pay, Cisco typically pays as follows:

.75% of incentive target for each 1% of revenue attainment up to 50% of quota;

1.5% of incentive target for each 1% of attainment between 50% and 75%;

1% of incentive target for each 1% of attainment between 75% and 100%; and once performance exceeds 100% attainment, incentive rates are at or above 1% for each 1% of attainment with no cap on incentive compensation.

For non-quota-based sales performance elements such as strategic sales objectives, Cisco may pay up to 125% of target. Cisco sales plans do not have a minimum threshold of performance for sales incentive compensation to be paid.

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