Akamai Technologies Logo

Akamai Technologies

Senior Director, Product Management – AI Inferencing

Posted 7 Days Ago
Be an Early Applicant
In-Office or Remote
Hiring Remotely in United States
191K-343K Annually
Senior level
In-Office or Remote
Hiring Remotely in United States
191K-343K Annually
Senior level
Leads product strategy and execution for AI infrastructure and inference offerings, including GPU clusters, model deployment, serverless inference, and cloud platforms. Owns portfolio revenue, adoption, and customer satisfaction; partners with engineering, SRE, and go-to-market teams on delivery, pricing, and positioning. Builds and manages a high-performing product organization while representing the company with customers, partners, and analysts.
The summary above was generated by AI

Are you interested in driving customer and developer experience for next generation cloud services?

Do you enjoy creating products that customers love?

Join our Cloud Technology Group!

As part of Akamai's Cloud Technology Group (CTG), our mission is to empower customers to build powerful, distributed applications, through a simple, scalable, AI and cloud platform. We provide the infrastructure and services that enable developers and enterprises to build next generation edge native applications.

Partner with the best

You will lead the product team managing Akamai's AI infrastructure and inference initiatives, from GPU clusters to scalable model deployment. Capitalizing on substantial company investments, defining product strategy, refining offerings, and ensuring differentiation as the AI industry evolves.

As a Senior Director of Product Management AI, you will be responsible for:

  • Driving long-term product vision and strategy for AI infrastructure, leveraging insights to identify differentiation opportunities, shape positioning, and defining investment priorities.
  • Owning business outcomes across GPU and cloud inferencing portfolio, including revenue growth, adoption, and customer satisfaction.
  • Collaborating with go-to-market leadership on pricing, packaging, and segment strategy, and representing Akamai externally with customers, partners, and analysts.
  • Leading cross-functional execution across product, engineering, and SRE to advance our AI platform, delivering GPU infrastructure and serverless inference innovations from concept through scale
  • Building and leading a high-performing team of product leaders, driving accountability, execution discipline, and a culture of customer obsession.

Do what you love

To be successful in this role you will:

  • Have 12 years of relevant experience and a Bachelor’s degree in Computer Science or related field. 
  • Demonstrate expertise in AI infrastructure, including GPU systems, model deployment, serverless inference, and technologies supporting scalable AI workloads.
  • Have direct product experience building and launching commercial AI infrastructure or inference platforms, from product definition through launch, adoption, and monetization.
  • Build the foundational platforms and services enabling developers to deploy and manage AI workloads, instead of relying on third-party solutions.
  • Bring a successful track record of building and scaling product management organizations and establishing effective operating rhythms.
  • Have executive presence and excellent communication skills, representing the company effectively with customers, partners, and analysts.

About us

At Akamai, we make life better for billions of people, trillions of times a day.
Whether you're streaming live events, scrolling social media, watching your favorite series, or managing your savings, we're the engine behind the scenes. We provide the world's most distributed platform from Cloud to Edge to help the giants of the digital world work faster and stay more secure, making the internet a better experience for everyone.
Our focus is simple:
Cloud and Edge: Running apps closer to users for instant performance.
Security: Neutralizing threats before they ever reach your data.
Content Delivery: Scaling the world's biggest moments without a glitch.
AI: Enabling our customers to build, secure, and scale AI apps on the world's most distributed cloud platform.
At Akamai, we don't just support the internet; we power and protect it, because behind every great digital experience is a massive hidden challenge. And we're the ones who solve it. When millions of people hit play or pay, Akamai ensures it just works.

Benefits at Akamai: We support your health, well-being, finances, and life beyond work. See our benefits.

FlexBase adapts to your job's needs

Akamai's FlexBase program is yet another way we show our commitment to providing employees with an exceptional workplace experience. It's not about telling employees where to work; it's about supporting employees to do their best work.
We trust our incredible employees to work in ways that suit them best: at home, in an office, or a combination of both.

Connect with us on social and see what life at Akamai is like!

Compensation

Akamai is committed to fair and equitable compensation practices. For US based candidates only - the base salary for this position ranges from $190,700 - $343,300/year; a candidate’s salary is determined by various factors including, but not limited to, relevant work experience, skills, certifications and location. Compensation for candidates outside the US will vary. The compensation package may also include incentive compensation opportunities in the form of annual bonus or incentives, equity awards and an Employee Stock Purchase Plan (ESPP). Akamai provides industry-leading benefits including healthcare, 401K savings plan, company holidays, vacation (in the form of PTO), sick time, family friendly benefits including parental leave and an employee assistance program including a focus on mental and financial wellness; Eligibility requirements apply.

Similar Jobs

5 Minutes Ago
Remote or Hybrid
OH, USA
Mid level
Mid level
Financial Services
Leads a team of data scientists developing analytics strategy for consumer banking onboarding and engagement marketing. Designs customer behavior analyses, A/B and incrementality tests, reusable data products, curated datasets, context libraries, and AI agents. Presents recommendations to senior stakeholders and partners with Data & Analytics, Finance, and Marketing leaders. The role combines people leadership with hands-on statistical analysis, SQL, programming, experimentation, and AI-enabled analytics.
Top Skills: Ai AgentsClaude CodeCodexData VisualizationGithub CopilotPythonRSQL
6 Minutes Ago
Remote or Hybrid
CO, USA
Junior
Junior
Financial Services
Manage and grow a portfolio of 70–90 small-business clients by providing customized banking, deposit, cash management, lending, and financial advice solutions. Acquire new clients, build long-term relationships, conduct in-person client and prospect meetings, identify cross-business opportunities, manage credit and portfolio risk, follow regulatory requirements, and collaborate with internal specialists to address clients’ broader financial needs.
Top Skills: ExcelMS OfficeOutlookPowerPointWord
13 Minutes Ago
Remote
California, USA
17-17 Hourly
Mid level
17-17 Hourly
Mid level
Fintech • Real Estate • Sales • Financial Services
Originates mortgage loans, builds referral relationships, develops a book of business, and generates leads through community and professional networking. Advises clients on loan products, evaluates credit and financial documents, guides borrowers from application through closing, resolves concerns, and maintains knowledge of mortgage products and qualification requirements.
Top Skills: Nmls

What you need to know about the Seattle Tech Scene

Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.

Key Facts About Seattle Tech

  • Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Amazon, Microsoft, Meta, Google
  • Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
  • Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Madrona, Fuse, Tola, Maveron
  • Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account