R

Runpod

Rents cloud GPUs for building AI applications

Senior Product Manager

Full-Time
$175k - $225k
Senior
Remote in USA
Remote
ProductTechnical Product Management
No H1B Sponsorship

About the job

Requirements
  • Six or more years of product management experience, ideally owning a technical, infrastructure, developer platform, cloud, AI/ML, enterprise software, marketplace, or usage-based product.
  • Proven experience operating products at significant scale, ideally serving millions of users, hundreds of thousands of developers, large enterprise customers, or high-volume infrastructure workloads.
  • Demonstrated ability to make product decisions in scaled environments where reliability, performance, usability, cost efficiency, and customer trust are critical.
  • Strong business judgment with a track record of connecting product strategy to revenue growth, customer acquisition, retention, expansion, margin improvement, or operational efficiency.
  • Deep analytical capability, including experience defining KPIs, analyzing funnels, interpreting usage trends, evaluating cohorts, measuring launch impact, and using data to prioritize roadmap decisions.
  • Experience building business cases for product investments, including market sizing, customer segmentation, ROI analysis, adoption assumptions, competitive positioning, and financial impact.
  • Strong customer discovery skills, including engaging prospects and customers, uncovering business and technical pain points, and translating insights into scalable product opportunities.
  • Comfort operating in technical domains, with the ability to understand infrastructure concepts, APIs, developer workflows, cloud platforms, distributed systems, AI/ML workloads, or usage-based compute products.
  • Proven ability to partner cross-functionally with Engineering, Design, Sales, Marketing, Customer Success, Finance, Infrastructure, Legal, and executive teams to drive alignment and execution.
  • Excellent communication and leadership skills, including the ability to craft strategy documents, executive narratives, roadmap updates, launch plans, and business cases in ambiguous, fast-moving environments.
Responsibilities
  • Own and execute a multi-quarter product strategy for a high-impact area of the AI infrastructure platform, tied to revenue growth, adoption, retention, gross margin, customer outcomes, and platform expansion.
  • Define the target market, customer segments, buyer personas, user personas, and ideal customer profile using customer research, product usage data, sales insights, competitive analysis, and market trends.
  • Build business cases for major product investments, including market opportunity, customer pain points, willingness to pay, competitive dynamics, adoption barriers, risks, and expected ROI.
  • Develop and manage a KPI-driven roadmap where every major initiative has a clear customer problem, business objective, success metric, leading indicator, and measurable impact.
  • Define, track, and report key product and business metrics, including activation, conversion, usage growth, revenue contribution, retention, expansion, churn, compute utilization, gross margin, time-to-value, NPS, and feature engagement.
  • Use quantitative and qualitative data to guide product decisions, prioritize roadmap tradeoffs, evaluate launch performance, and continuously refine strategy.
  • Conduct frequent customer discovery with prospects, customers, partners, and internal go-to-market teams to identify scalable market opportunities and validate product direction.
  • Partner with Engineering, Design, and Infrastructure to deliver reliable, scalable, and intuitive platform capabilities that improve customer outcomes and support business growth.
  • Collaborate with Sales, Marketing, Customer Success, Finance, Partnerships, and Legal to drive go-to-market readiness, including positioning, pricing and packaging input, launch planning, enablement, onboarding, and expansion motions.
  • Communicate product strategy, business impact, roadmap progress, competitive insights, key risks, and tradeoffs to executives, strategic customers, and cross-functional stakeholders.
  • Define a clear product strategy tied to company-level growth objectives and identify and prioritize the highest-value customer and market opportunities.
  • Build a KPI framework that guides roadmap decisions and measures impact; launch product capabilities that improve adoption, retention, revenue, and customer outcomes.
  • Partner with go-to-market teams to improve positioning, pricing, sales enablement, and customer success; use data to make decisions, challenge assumptions, and refine strategy.
  • Help strengthen Runpod’s position as an AI infrastructure platform.

About the company

Runpod rents cloud computing power to developers and businesses building AI applications, with GPUs for model training, fine-tuning, and running models for users. Its Pods give teams a dedicated environment to run their own containers, while Serverless turns code into endpoints that adjust capacity to incoming requests. Clusters link multiple GPUs for larger training jobs, and the platform includes tools to deploy and monitor workloads through a web console or software interfaces. Customers pay for metered compute time and storage, with options for reserved resources and enterprise support. Runpod was founded in 2022 and is headquartered in San Francisco, California.

Company Size

51-200

Company Stage

Growth Equity (Venture Capital)

Total Funding

$122M

Headquarters

Mount Laurel Township, New Jersey

Founded

2022

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Simplify Jobs

Simplify's Take

What believers are saying

  • Learning has a budget: Runpod employees receive annual development funding and an AI-tool allowance.
  • Expansion has fresh backing: Runpod secured a $100 million Summit-led investment in June 2026.
  • Demand is compounding: Runpod reported $325 million annual recurring revenue in October 2026, versus $120 million in January.

What critics are saying

  • Expect duties beyond your function: Runpod asks engineers, sales staff, and operators to wear multiple hats.
  • Immediate responses carry ongoing costs: Runpod bills always-on Serverless workers continuously, including idle time.
  • Failover needs extra setup: one Runpod network volume restricts Serverless workers to its data center.

What makes Runpod unique

  • Cold starts get a dedicated shortcut: Runpod FlashBoot retains worker state after shutdown to speed subsequent requests.
  • Stored models span deployment types: Runpod network volumes attach to Secure Cloud Pods and Serverless endpoints.
  • GPU supply spans outside operators: Runpod's infrastructure partners include data centers, cloud providers, and GPU operators.

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Benefits

Health Insurance

Dental Insurance

Vision Insurance

Unlimited Paid Time Off

Remote Work Options

Home Office Stipend

Stock Options

Growth & Insights and Company News

Headcount

6 month growth

-6%

1 year growth

-8%

2 year growth

2%
PR Newswire
Sep 24th, 2026
Runpod secures ISO 27001 certification, adds enterprise governance for AI workloads

Runpod, an AI Developer Cloud, has announced new enterprise capabilities including organisational governance controls, single sign-on, group management, and cost-centre billing. The platform has also achieved ISO/IEC 27001 certification to complement its existing SOC 2 Type II compliance. The company, which raised $100 million in Series A funding, now processes over 10 million serverless inference requests daily. Its customer base exceeds one million developers and includes Sony, Toyota, Intel, and several universities including Columbia and Cornell. Runpod Enterprise unifies pods, serverless inference, and dedicated GPU clusters under single enterprise agreements. The platform offers reserved capacity across 30-plus GPU configurations in 32 regions, with contractual service-level agreements and dedicated technical account managers for enterprise clients.

Logicity
Jul 21st, 2026
The 24 largest US startup funding rounds of June 2026.

The 24 largest US startup funding rounds of June 2026. Key takeaways. Rizingbharat Startup Funding Roundup - 24th June to 2nd July, 2026 * MainFunc (Genspark) raised the largest total equity at $654.3M, signaling massive bets on AI-powered SME automation * Infrastructure plays dominated: GPU cloud platforms, liquid cooling, and quantum computing attracted multiple nine-figure rounds * Defense tech startup Twenty Technologies raised $138M just one year after founding, reflecting accelerated government tech cycles June 2026 delivered some of the year's biggest venture bets, with 24 US startups pulling in rounds that tell a clear story: investors are doubling down on AI infrastructure, enterprise automation, and defense tech. The month's top rounds ranged from $100M to cumulative totals exceeding $650M, spanning everything from sales tax automation to quantum computing. AlleyWatch compiled the data from Crunchbase, and the picture that emerges shows capital clustering around a handful of themes. GPU cloud providers, AI enterprise tools, and deep tech all attracted nine-figure checks. Here's what founders should know about where the smart money went. Advertisements Who raised the most in June 2026? Palo Alto-based MainFunc tops the list with $654.3M in total equity funding. The company builds Genspark, an AI workspace targeting SME automation. Founded in 2023 by Eric Jing, Jamison Powell, Kaihua Zhu, Lenjoy Lin, and Wen Sang, MainFunc has grown aggressively. The sheer size of the raise suggests investors see a path to replacing significant portions of back-office labor for small and mid-sized businesses. Cosm, the Los Angeles immersive media company, sits second at $350M total funding. Backed by Fox, Sony Pictures Entertainment, and Baillie Gifford, the company builds end-to-end experience technology for entertainment venues. Think dome theaters and next-generation sports viewing. Cadence, a New York-based remote patient monitoring company, has now raised $241M. General Catalyst, Thrive Capital, and Coatue lead a syndicate betting that chronic disease management will shift permanently to home-based, tech-enabled care. AI infrastructure attracted the deepest pockets. Three GPU and AI infrastructure companies landed on the list, reflecting the ongoing compute crunch. Runpod, a Mount Laurel cloud platform for GPU workloads, has raised $122M from Summit Partners, Intel Capital, and Dell Technologies Capital. The platform lets developers deploy full-stack AI applications without managing hardware. Boulder-based Hydra Host raised $118.6M, backed by NVIDIA, Founders Fund, and NEA. The company operates what it calls "AI Factory Franchises," essentially standardized bare-metal GPU data centers run by independent operators but accessible through a unified platform. ZutaCore, based in Foster City, pulled in funding that brought its total to $100M. The company develops liquid cooling systems for data centers and AI infrastructure. With GPU clusters generating increasingly dense heat loads, cooling has become a genuine bottleneck. Samsung Ventures and Mitsubishi Electric are among the backers. Enterprise AI and compliance software. Numeral, a San Francisco sales tax automation platform, has now raised $157.5M. The company, founded in 2022 by Jake Moffatt, Matt DuVall, and Sam Ross, automates sales tax for e-commerce and SaaS businesses. The investor roster reads like a hall of fame: Y Combinator, Benchmark, Insight Partners, and Salesforce Ventures. Disclosure. Some links in this post are affiliate links - Logicity earns a commission if you sign up, at no extra cost to you. Logicity Pvt Ltd only link products Logicity Pvt Ltd has used or actively recommend. The Numeral raise reflects a real pain point. Since the 2018 Wayfair Supreme Court decision, online sellers face sales tax obligations in states where they have no physical presence. For a SaaS company selling to customers across all 50 states, the compliance burden is substantial. Manual processes don't scale. Scaled Cognition, an Amesbury-based startup, raised $100M total. The company ensures that AI-powered customer interactions stay accurate and compliant with company policies. Khosla Ventures and Lerer Hippeau led. As enterprises deploy more AI chatbots and agents, the "hallucination problem" becomes a legal and brand risk. Scaled Cognition sits at that intersection. Ent.AI, founded just last year in Santa Clara, already hit $100M in funding. The company offers end-to-end AI services: data labeling, model building, and strategy consulting. Sequoia Capital and Felicis backed the round. The speed of the raise suggests demand from enterprises that want AI but lack internal ML teams. Defense and security tech accelerates. Twenty Technologies, based in Arlington, raised $138M just one year after its 2024 founding. The company builds cyber warfare software to automate offensive cyber operations. General Catalyst, Accel, and In-Q-Tel (the CIA's venture arm) backed the round. The speed from founding to nine-figure raise reflects how quickly defense procurement is moving for software-based capabilities. Trase Systems, a McLean-based AI firm, raised $117.5M total. The company provides AI-powered safety and security tools for administrative workflows. ARCH Venture Partners and Red Cell Partners participated. McLean's proximity to the Pentagon and intelligence agencies isn't coincidental. Advertisements Deep tech and quantum computing. Atom Computing, based in Berkeley, has raised $190.2M to develop gate-based quantum computers using neutral atoms as qubits. Founded in 2018 by Benjamin Bloom and Jonathan King, the company competes against ion-trap and superconducting approaches. Venrock and Cisco Investments are among the backers. Quantum remains pre-commercial, but the funding signals belief that practical applications are within reach this decade. GT Medical Technologies in Tempe raised $227.5M total for brain tumor treatment devices. Founded in 2017, the company has been at it long enough to move through clinical validation. Medical device timelines are measured in years, not months, and patient outcomes are the only metric that matters. Sports and media bets. The Premier Lacrosse League, founded by brothers Michael and Paul Rabil in 2018, raised $100M from Ares Management, Arctos Sports Partners, and ESPN. The league has pushed lacrosse toward mainstream viability, and ESPN's participation suggests media rights have real value. Sports league equity has become an asset class of its own. Taktile, a New York-based decision platform for financial institutions, rounds out the list. The company helps banks and lenders automate risk management with AI. Financial services remains one of the largest potential markets for applied AI, given the volume of decisions made daily on credit, fraud, and compliance. Logicity's take. The June 2026 funding data reveals three distinct investor theses. First, the AI compute stack remains constrained, and anyone solving GPU access or cooling will find buyers. Runpod competes with Lambda Labs, CoreWeave, and major cloud providers, but fragmentation means room for specialists. Second, compliance automation is quietly becoming a category. Numeral's raise, alongside the ongoing success of tools like [Zapier](https://logicity.in/r/zapier) and [Make](https://logicity.in/r/make) for workflow automation, suggests that any repetitive, rules-based back-office function will eventually get automated. Third, defense tech has entered a new phase. Twenty Technologies going from founding to $138M in 12 months would have been unthinkable five years ago. Government buyers are moving faster, and VCs are following. What this means for founders raising now. If you're building in AI infrastructure, enterprise compliance, or defense, the capital is clearly available. But the bar is high. Most of these companies had either top-tier founder pedigrees, clear technical differentiation, or both. Numeral's backers include Y Combinator and Benchmark. Twenty Technologies landed In-Q-Tel. Ent.AI got Sequoia a year after founding. The pattern isn't "AI is hot." It's more specific: investors want to fund AI companies that solve measurable business problems for customers who will pay enterprise prices. Workflow automation for SMEs, compliance for e-commerce, cooling for data centers. Each addresses a clear, growing pain. Frequently asked questions. Which US startup raised the most funding in June 2026? MainFunc, the maker of Genspark AI workspace, leads with $654.3M in total equity funding. The Palo Alto company targets SME automation and was founded in 2023. What sectors attracted the most venture capital in June 2026? AI infrastructure (GPU cloud platforms, liquid cooling), enterprise automation, defense tech, and healthcare technology dominated the largest rounds. How much did Numeral raise for sales tax automation? Numeral has raised $157.5M in total equity funding. The company automates sales tax compliance for e-commerce and SaaS businesses, backed by Y Combinator, Benchmark, and Salesforce Ventures. Which defense tech startups raised funding in June 2026? Twenty Technologies raised $138M for cyber warfare automation, backed by General Catalyst and In-Q-Tel. Trase Systems raised $117.5M for AI-powered security workflows. Is quantum computing still attracting venture investment? Yes. Atom Computing raised $190.2M total for its neutral-atom quantum computers. The Berkeley-based company competes with ion-trap and superconducting approaches. Need help implementing this? Advertisements Manaal Khan Tech & Innovation Writer Produced with AI assistance and reviewed by the Logicity editorial team. Learn more in its Editorial Policy.

The SaaS News
Jun 26th, 2026
Runpod raises $100M Growth Capital.

Runpod raises $100M Growth Capital. Runpod raises $100M in growth capital led by Summit Partners at a $1 billion valuation to expand its AI developer cloud infrastructure. Updated June 25, 2026 Runpod raises $100M Growth Capital at $1.0B valuation. Runpod, based in Newark, New Jersey, is an AI developer cloud platform that provides infrastructure for training, fine-tuning, and deploying artificial intelligence models. The company recently announced a $100 million growth investment, bringing its total valuation to $1.0 billion. Investors. The funding round was led by Summit Partners, a growth-focused investment firm. No other investors were listed as participating in this round. Runpod use of funds. Runpod plans to use the new capital to continue developing its full lifecycle AI platform, expand its engineering and developer relations teams, and broaden global access for its user base of over one million developers. About Runpod. Founded to simplify the AI development process, Runpod provides a single, self-serve cloud destination where developers can experiment, train, and deploy AI models. Its platform features transparent per-second pricing and supports tasks ranging from initial experimentation to production traffic without requiring multiple tools. Funding details. Company: Runpod Raised: $100M Round: Growth Capital Funding Date: June 24, 2026 Lead Investor: Summit Partners Company Website: https://runpod.io Software Category: Cloud Computing and Artificial Intelligence Source: https://siliconangle.com/2026/06/25/runpod-raises-100m-build-leading-cloud-platform-ai-developers/ Updated June 25, 2026

PR Newswire
Jun 24th, 2026
Runpod Raises $100M Led by Summit Partners to Accelerate the AI Developer Cloud

/PRNewswire/ -- Runpod, the AI Developer Cloud, today announced a $100 million growth investment led by Summit Partners. The round comes on the heels of strong...

Cointime
Jun 24th, 2026
Runpod raises $100M to provide GPU computing power for AI developers

Cloud computing startup Runpod has secured $100 million in funding whilst rejecting multiple acquisition offers. The company provides GPU computing power rental services for developers, supporting deployment of open-source models and AI applications. Runpod operates in a sector that relies heavily on NVIDIA GPU servers for computing resources. Rising demand for low-cost, flexible computing infrastructure driven by expanding AI applications has increased valuations and investor interest in cloud service providers like Runpod. The funding reflects strong market appetite for companies offering accessible GPU computing power as AI development accelerates.