Full-Time

Staff Product Manager Agentic AI Infrastructure

DigitalOcean

DigitalOcean

1,001-5,000 employees

Cloud platform enabling rapid app deployment

Compensation Overview

$186k - $233k/yr

+ Bonus + Equity Grants + Employee Stock Purchase Program

Seattle, WA, USA

Hybrid

Hybrid role; on-site days may be required.

Category
Product
Required Skills
Docker
Observability

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Requirements
  • Strong product leadership in infrastructure or developer platforms: Experience building cloud infrastructure, developer tools, ML platforms, runtime systems, workflow engines, security products, or API-first platforms.
  • Fluency in agentic AI systems: Understanding of how agents use tools, execute code, manage context, call APIs, operate across long-running sessions, and interact with external systems.
  • Technical depth in cloud primitives: Familiarity with areas such as containers, MicroVMs, sandboxing, identity and access management, stateful workloads, distributed systems, observability, and secure execution environments.
  • Customer-backed product instincts: Ability to work with early, demanding customers and turn ambiguous feedback into clear product direction, roadmap priorities, and launchable capabilities.
  • Strong systems thinking: You can reason across user experience, platform architecture, security, reliability, pricing, and operational complexity.
  • Developer empathy: You understand what developers need to adopt a platform quickly: simple APIs, clear mental models, fast onboarding, trustworthy docs, and products that work without unnecessary ceremony.
  • Business judgment: You can connect product investments to revenue, adoption, margin, differentiation, and long-term platform strategy.
  • Executive communication and influence: You can align engineering, design, GTM, finance, legal, security, and executive stakeholders around a clear product strategy.
  • Category-building mindset: You are excited to operate in an emerging market where the primitives are still being defined and where product leadership requires both conviction and customer-driven iteration.
Responsibilities
  • Define the Agentic AI infrastructure product strategy: Own the product vision, roadmap, and execution plan for DigitalOcean’s managed agent infrastructure products.
  • Build foundational agent infrastructure products: Lead product definition for services such as Open Harness Server, Code Execution Sandbox, Action Gateway, tool execution, session management, agent runtime APIs, and related developer experiences.
  • Work backwards from agent-native customers: Partner directly with companies building coding agents, productivity agents, workflow agents, and custom AI systems to understand the infrastructure they need to move from prototype to production.
  • Create simple abstractions for complex workloads: Define product experiences that make it easy for developers to run long-lived agents, fork sessions, resume work, attach tools, manage credentials, execute code safely, and observe agent behavior.
  • Shape the developer experience: Build intuitive APIs, CLIs, docs, examples, and workflows that let developers bring their existing harnesses and agent frameworks to DigitalOcean with minimal friction.
  • Partner with engineering on architecture and tradeoffs: Work closely with engineering leaders to translate customer needs into product requirements across MicroVMs, sandboxing, tool execution, identity, state management, observability, security, and scale.
  • Launch new products and SKUs: Partner with GTM, finance, and engineering to define packaging, pricing, beta programs, launch plans, and adoption motions for agentic infrastructure services.
  • Drive operational and business outcomes: Establish product metrics around adoption, retention, usage, reliability, workload scale, gross margin, developer satisfaction, and revenue growth.
  • Evangelize the category: Help DigitalOcean explain why agents need a new infrastructure layer and how our products help developers build, test, deploy, and operate agents with confidence.

DigitalOcean provides cloud computing infrastructure for developers, startups and SMBs to build, deploy, and scale applications using Droplets, managed databases, Kubernetes, object storage, and networking. It offers simple provisioning via a dashboard and APIs with fully managed services so teams avoid managing underlying infrastructure. It differentiates itself through a focus on simplicity, a strong developer community, open-source alignment, affordable pricing, and responsive support. The goal is to free developers from infrastructure chores so they can focus on coding and growing their business.

Company Size

1,001-5,000

Company Stage

IPO

Headquarters

New York City, New York

Founded

2012

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Simplify Jobs

Simplify's Take

What believers are saying

  • Q2 2026 revenue rose 29% to $281 million, and management raised 2026 guidance.
  • AI customer ARR jumped 212% to $234 million, while inference services grew nearly 800%.
  • Committed capacity reached 155 megawatts after Richmond, Kansas City, and Memphis expansion.

What critics are saying

  • July 23, 2026 equity issuance sold 12.5 million shares to retire convertibles, diluting holders.
  • Demand still outruns supply, so delayed Memphis buildout can cap 2027 growth.
  • Amazon, Microsoft, and Google can bundle cheaper AI infrastructure and crush margins.

What makes DigitalOcean unique

  • DigitalOcean's AI-Native Cloud bundles inference, databases, and networking for SMB developers.
  • OpenRouter, Weaviate, and Kimi K3 partnerships deepen its developer ecosystem in 2026.
  • Its simplicity-first pricing targets smaller teams ignored by AWS, Azure, and Google Cloud.

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Benefits

Remote-first

Full health coverage

Wellness coverage

Flexible vacation time

Team-building & social events

401(k) plans

ESPP

Education support

Partner support

Employee giving

Growth & Insights and Company News

Headcount

6 month growth

0%

1 year growth

1%

2 year growth

1%
Yahoo Finance
Aug 11th, 2026
DigitalOcean soars 275% as AI cloud platform challenges Amazon, Microsoft and Alphabet

DigitalOcean, a $14 billion cloud company, has seen its stock surge 275% over the past year, vastly outperforming Amazon, Microsoft, and Alphabet's average 31% return. The company targets small and midsized businesses with affordable AI cloud solutions through its AI-Native Cloud platform. The platform includes infrastructure across 20 data centers with Nvidia and AMD chips, plus access to AI models from OpenAI and Anthropic. Its inference router optimises prompts for cost and performance. At the end of Q2 2026, DigitalOcean reported $894 million in remaining performance obligations, up 12-fold year-over-year. This backlog indicates strong demand as customers await additional data center capacity. Whilst tech giants chase high-spending customers, DigitalOcean focuses on delivering simple, cost-effective AI services with personalised support.

Smart Business News
Aug 6th, 2026
Pranav Nambiar joins Rackspace Technology to scale sovereign AI Infrastructure.

Pranav Nambiar joins Rackspace Technology to scale sovereign AI Infrastructure. August 6, 2026 San Antonio, TX - August 6, 2026 - Rackspace Technology(R)(NASDAQ: RXT), a global enterprise AI infrastructure and solutions provider, today announced the appointment of Pranav Nambiar as Senior Vice President and General Manager, AI Infrastructure. Nambiar will lead the infrastructure, operating model, partnerships and go-to-market strategy behind Rackspace's AI infrastructure offerings, further strengthening the company's position as a governed, model-agnostic operator of AI in production for regulated and mission-critical enterprises. As enterprises move AI out of pilots and into production, demand has shifted from raw GPU capacity to governed compute: sovereign environments, compliance by design and operational discipline at scale. Nambiar's appointment accelerates Rackspace's investment in exactly that layer. Nambiar brings more than two decades of experience architecting multi-billion-dollar technology ecosystems and delivering transformative growth at Amazon Web Services, DigitalOcean, Google and Microsoft. At DigitalOcean, he served as Senior Vice President and General Manager of AI and Data Cloud, leading the company's strategic shift into a premier "AI Neo Cloud" and expanding production inference infrastructure for thousands of customers. "Enterprise AI has moved past the question of which model to use. The hard problem now is the infrastructure and operating discipline around the model: governed, sovereign, compliant and running in production at scale," said Gajen Kandiah, CEO of Rackspace Technology. "Pranav has spent his career building and scaling AI and cloud platforms at hyperscale, and he knows what it takes to run AI as a reliable operation rather than a pilot. His leadership will accelerate the infrastructure, operating model and partnerships behind sovereign, compliant and enterprise-ready AI for our customers. I am delighted to welcome him to Rackspace." Prior to his tenure at DigitalOcean, Nambiar led Google's generative AI and data services portfolio. At AWS, he led services including Amazon DynamoDB, Amazon Elasticsearch and Amazon SageMaker, and played a key role in shaping the company's data and AI platforms. Earlier in his career, Nambiar held multiple leadership positions at Microsoft, where he led digital strategies across its mobile, search and Windows businesses. He has advised C-suite executives and board members on enterprise AI, agentic innovation and autonomous systems for regulated industries. "Rackspace has something rare in this market: real infrastructure, deep operational experience and the trust of enterprises in the most demanding regulated sectors," said Nambiar. "The next phase of enterprise AI will be won in production, and I look forward to building the platform that gets customers there."

MarketBeat
Aug 5th, 2026
DigitalOcean Q2 earnings call highlights.

DigitalOcean Q2 earnings call highlights. August 5, 2026 Key points. * DigitalOcean's revenue rose 29% year over year to $281 million in Q2 2026, exceeding guidance. Management raised its full-year outlook to approximately 30.5% growth, with fourth-quarter growth expected to reach at least 35%. * Growth was driven by large customers and AI offerings: AI customer ARR surged 212% to $234 million, while ARR from customers spending at least $1 million increased 214%. Inference services grew nearly 800% year over year, and more than 6,000 customers have used the company's Inference Engine since its April launch. * DigitalOcean maintained strong profitability, reporting a 40% adjusted EBITDA margin and $61 million in adjusted free cash flow. The company is expanding data-center capacity, with approximately 155 megawatts committed, to meet demand that management said continues to exceed available supply. * MarketBeat previews top five stocks to own in September. DigitalOcean NYSE: DOCN reported second-quarter 2026 revenue of $281 million, up 29% from a year earlier and above the high end of its guidance, as growth accelerated among its largest customers and AI-focused offerings gained adoption. Chief Executive Officer Paddy Srinivasan said the company added a record $93 million in annual recurring revenue during the quarter, nearly triple the incremental ARR reported in the year-earlier period. The company also raised its full-year outlook, citing demand that it said continues to exceed available capacity. "We delivered 29% year-over-year revenue growth while continuing to have strong profitability," Srinivasan said. He added that DigitalOcean expects roughly 30% revenue growth for the full year and at least 35% growth in the fourth quarter. Large customers and AI revenue drive growth. DigitalOcean said ARR from customers spending at least $100,000 annually rose 98% year over year. ARR from customers spending at least $500,000 increased 160%, while ARR from customers spending $1 million or more climbed 214%. The company's largest customer cohort represented 23% of total ARR in the second quarter, compared with 9% a year earlier. AI customer ARR reached $234 million, rising 212% year over year, according to Chief Financial Officer Matt Steinfort. DigitalOcean said 85% of AI customer ARR came from inference services and Core Cloud products rather than Bare Metal offerings. Inference services grew nearly 800% year over year and accounted for more than 70% of total AI customer ARR, Srinivasan said. The company's remaining performance obligations rose to $894 million, more than 12 times the prior-year level, with an average duration of 3.7 years. Steinfort said those commitments were secured from a range of customers and that the company's top 25 customers accounted for 20% of ARR during the quarter. DigitalOcean also said it would no longer emphasize net dollar retention as a key metric. NDR reached 102% in the quarter, a three-year high, but Steinfort said the measure has become less representative of the company's business as growth increasingly comes from its biggest customers and newer AI customers. Inference Engine expands AI platform adoption. DigitalOcean launched its Inference Engine in late April, offering managed serverless inference and related technologies. Srinivasan said more than 6,000 customers have used the service since launch, with customer count growing by nearly 60% on average each month. Token volume increased 30-fold over the past 60 days, he said. Discover more Self-Help & Motivational ETF Screener Tool Stock Split Calculator Open-weight models accounted for about 15% of token volume shortly after the launch and had grown to nearly 75% by the time of the call. The company said it now offers more than 75 open- and closed-source models through a single endpoint and has completed 14 day-zero model launches since April. Srinivasan said DigitalOcean is seeing a shift from customers seeking the greatest possible token consumption toward optimizing the quality, latency and cost of AI workloads. He described the company's Inference Engine as a production runtime that integrates functions including routing, model evaluations, batch inference, prompt caching and server-side tools for AI agents. The company said its Inference Router, which adjusts requests across open and frontier models based on quality, latency and cost, had nearly 1,400 active customers. DigitalOcean also highlighted its launch-partner status for Kimi K3, stating that the model brought more than 400 net new customers in its first week on the platform. Core Cloud attachments and capacity plans. Management said it is seeking to build an "AI-Native Cloud" platform that connects inference, agents, data products and core infrastructure. More than half of new AI customers added year to date had attached a Core Cloud product, Srinivasan said. Among AI customers with at least $100,000 in ARR, roughly 70% had attached a Core Cloud product in the second quarter. The company cited customers and ecosystem relationships including OpenCode, Daytona, Vercel and OpenRouter. DigitalOcean said it serves more than 20 billion tokens per day through OpenRouter, up more than 330% over the prior 60 days. DigitalOcean launched data centers in Richmond during the first quarter and Kansas City during the second quarter, both ahead of schedule, management said. The company remains on track to open its Memphis data center in the second half of 2026. It also secured about 20 megawatts of additional capacity expected to come online in late 2027 and 2028. Total committed capacity is now approximately 155 megawatts, with the majority expected to be online by the end of 2027. Management said the company has 15 megawatts remaining to bring online this year. During the quarter, DigitalOcean increased list prices on several GPU fleets by approximately 30%. Steinfort said the effect on second-quarter incremental ARR was modest, while pricing actions were included in the company's outlook for the remainder of 2026. Profitability, balance sheet and outlook. Adjusted EBITDA was $114 million, representing a 40% margin. GAAP operating income was $29 million, or a 10% margin, while adjusted operating income was $67 million, or a 24% margin. Non-GAAP diluted earnings per share were $0.45, and adjusted free cash flow totaled $61 million. Trailing 12-month adjusted free cash flow was $175 million, equal to 17% of revenue. For the full year, DigitalOcean expects adjusted free cash flow margin of 11% to 13%. In July, the company retired approximately $472 million of its 0% convertible senior notes due in 2030. Steinfort said the transaction reduced leverage with minimal cash use and effectively no dilution because the underlying shares had already been reflected in diluted share calculations. * Third-quarter revenue is projected at $304 million to $307 million, representing 32% to 34% year-over-year growth. * Third-quarter adjusted EBITDA margin is expected to be 38% to 39%. * Third-quarter non-GAAP diluted EPS is forecast at $0.28 to $0.30. * Full-year revenue is expected to be $1.17 billion to $1.18 billion, representing approximately 30.5% growth. * Full-year adjusted EBITDA margin is projected at about 39%, with non-GAAP diluted EPS of $1.35 to $1.40. Management did not provide formal 2027 guidance but reiterated greater confidence in its previous expectation for revenue growth of more than 50% next year. Steinfort said the timing of future data-center capacity additions remains an important variable in determining the company's 2027 results. About DigitalOcean (NYSE:DOCN). DigitalOcean Holdings, Inc is a cloud infrastructure provider that focuses on simplicity, performance and developer experience. The company offers a range of cloud services designed to help software developers, startups and small- to medium-sized businesses deploy, manage and scale applications. Its flagship offering, Droplets, provides virtual private servers that can be configured with various CPU, memory and storage options. In addition to compute instances, DigitalOcean's platform includes managed Kubernetes, scalable object and block storage, managed databases, load balancers and networking capabilities such as Virtual Private Cloud (VPC) and Floating IPs. Founded in 2011 and headquartered in New York City, DigitalOcean was created with the goal of making cloud computing more accessible to individual developers and smaller teams. This instant news alert was generated by narrative science technology and financial data from MarketBeat in order to provide readers with the fastest reporting and unbiased coverage. Please send any questions or comments about this story to [email protected]. Continue following MarketBeat Before you consider DigitalOcean, you'll want to hear this. MarketBeat keeps track of Wall Street's top-rated and best performing research analysts and the stocks they recommend to their clients on a daily basis. MarketBeat has identified the five stocks that top analysts are quietly whispering to their clients to buy now before the broader market catches on... and DigitalOcean wasn't on the list. While DigitalOcean currently has a Moderate Buy rating among analysts, top-rated analysts believe these five stocks are better buys. The AI wave will soon hit public markets with Anthropic and OpenAI set to go public later this year. However, you don't have to wait to invest. This report shows seven AI stocks that you can buy today while the big model providers get ready to go public.

Yahoo Finance
Aug 4th, 2026
DigitalOcean raises 2026 guidance to 30% growth as AI inference drives $93M ARR and 800% service surge

DigitalOcean reported accelerated revenue growth of 29% year-over-year in Q2 2026, driven by a record $93 million in incremental annual recurring revenue. The company attributed strong performance to a market shift towards optimising AI model costs rather than maximising token consumption. Inference services grew nearly 800% year-over-year, with 70% of high-spend AI customers adding core cloud products to their workloads. Open weight models now represent 75% of token volume, up from 15% at launch. The company raised full-year 2026 revenue guidance to approximately 30% growth, with an expected exit rate of 35% or more by Q4. Management expressed increased conviction in achieving over 50% revenue growth for 2027. DigitalOcean secured 20 megawatts of additional capacity for late 2027 and 2028, bringing total committed capacity to approximately 155 megawatts.

Yahoo Finance
Aug 4th, 2026
DigitalOcean beats Q2 revenue expectations with $281M but stock falls 10.9%

DigitalOcean reported second quarter revenue of $281.2 million, up 28.6% year on year and beating analyst estimates of $278.8 million. The cloud computing platform's adjusted earnings per share of $0.45 exceeded expectations by 72.9%. Despite the strong results, the stock dropped 10.9%. The company raised its full-year revenue guidance to $1.18 billion from $1.14 billion, a 3.3% increase, and lifted adjusted EPS guidance to $1.38, up 19.6%. DigitalOcean's annual recurring revenue reached $1.13 billion, growing 28.6% year on year. Billings rose 46.2% to $327.9 million. The company's free cash flow margin improved to 21.5% from 0.8% in the previous quarter, though operating margin declined to 10.4% from 16.3% a year earlier.