Affiliate & Creator Marketing Lead
About the job
- At least 4 years of experience in affiliate marketing, influencer or creator partnerships, community, or growth marketing, including direct end-to-end program ownership.
- A proven track record of finding, recruiting, and managing affiliates or creators.
- Comfort with incentive design and creator economics.
- Experience with affiliate platforms such as PartnerStack, Awin, or similar.
- Strong relationship-building and communication skills.
- Analytical skills and the ability to pull and interpret performance data independently.
- Ability to work cross-functionally with content, growth, and sales in a fast-moving environment.
- Fluency in internet and creator culture, including understanding what makes content spread and spotting promising creators early.
- Successful completion of a background check.
- Own and scale Runpod's affiliate program end to end, take over agency-managed relationships as contracts wind down, and bring affiliate management fully in-house.
- Strengthen relationships with existing high-performing affiliates through proactive outreach, better communication, and improved support.
- Monitor affiliate performance and program health, including signups, fraud signals, and engagement, in PartnerStack, and partner with Marketing Operations to maintain accurate tracking and attribution.
- Test and refine commission structures, tiering, and incentives, including challenges, competitions, and utilization-based kickbacks, to maximize signups and program integrity.
- Transition the existing influencer program from one-off, impressions-measured sponsorships into a performance-based motion within the affiliate program.
- Build a repeatable process for finding creators across YouTube, X, TikTok, LinkedIn, Discord, and other platforms who reach developers, AI/ML practitioners, and technical builders.
- Partner with Developer Relations to source creators and community members engaging with Runpod through hackathons, meetups, and community programs for the affiliate program.
- Evaluate and prioritize creators based on audience fit, reach, and content quality rather than follower count or impressions alone.
- Build relationships with promising creators and bring selected creators into the affiliate program with properly structured signups- and revenue-based incentives.
- Design and pitch partnership concepts, including challenges, giveaways, co-branded content, and creator takeovers, to maximize organic reach and shareability.
- Partner with Content, Product Marketing, Public Relations/Communications, and Developer Relations to keep creator content technically accurate, on-brand, and consistent with existing sponsorship relationships.
- Track creator content performance and invest further in the formats and partners driving signups and revenue rather than impressions alone.
- Partner with employees who want to build a public presence, helping them identify suitable topics, formats, and publishing cadences.
- Build lightweight systems, including briefs, prompts, and content calendars, to help non-marketers publish consistently.
- Support Product Marketing in growing the reach and engagement of executives' personal accounts by applying affiliate and creator amplification tactics, timing, and distribution to content Product Marketing develops.
- Work with Content and Product Marketing to align employee content with Runpod's broader narrative and product priorities.
- Own a reporting cadence for affiliate and creator performance, including signups, spend, return on investment, and program growth.
- Deliver regular updates and recommendations to marketing leadership.
- Manage contracts, payouts, and day-to-day coordination with affiliates, creators, and supporting platforms such as PartnerStack.
- Experience marketing a developer tool, cloud infrastructure, or B2B SaaS product.
- Familiarity with the AI/ML ecosystem and the ability to speak credibly to a technical audience.
- Experience coaching non-marketer employees on content and personal brand, or amplifying executive or founder content on behalf of a marketing team.
- Experience with HubSpot or similar customer relationship management and analytics platforms.
- Comfort working in a lean team where ownership is broad and ambiguity is common.
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'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
6 month growth
-6%1 year growth
-8%2 year growth
2%Runpod's new CFO prioritizes scaling finance, AI infrastructure. A veteran of Amazon and Microsoft, Runpod's newly-minted CFO Brian Erickson is already hunting for new FP&A managers. Published Oct. 13, 2026 Danielle McLean Contributor Amazon and Microsoft veteran Brian Erickson is bringing legacy tech experience to the early-stage AI developer cloud company Runpod as it looks to expand. Runpod, which announced the appointment of Erickson as CFO Tuesday, provides cloud GPU infrastructure and tools that developers use to experiment, train, fine-tune, deploy and scale AI models such as large language models, an area that's "exploding," Erickson said during an interview. "Being in a high-growth business where a lot of capital is flowing is extremely attractive," said Erickson, who previously served as CFO of the market research consumer insights platform Suzy. Runpod has grown substantially this year with annual recurring revenue jumping from $120 million in January to over $325 million today, the company stated in a press release. Likewise, the number of developers building on Runpod's platform has surged from 495,000 a year ago, to more than 1.2 million today. That includes large corporations such as Sony, Toyota, and Intel, the company stated. It also includes higher education institutions such as Columbia University, Cornell University, and the University of California, Los Angeles, and high-growth AI companies like Deep Cogito, Rendair and Nodalview. Erickson said he plans to help scale the company financially and operationally to keep pace with growth. His job, he said, is to build out a finance organization and put the right investments in place to help the company expand. He is already on the hunt for new talent: on LinkedIn he said the company is hiring two FP&A managers. Runpod's ambitious growth plans are intended to enable the company to serve large enterprises, he said. "That changes the way we need to operate as an organization. How we forecast, how we contract and commit capacity that we're buying across the board," said Erickson. "Those are all going to be very important elements as I think about the financial and operational strategy for the company." Runpod, with Erickson, will need to accomplish this in an environment where the supply of GPUs is constrained. AI companies are reportedly scrambling for GPU capacity while CFO Dive sister publication CIO Dive reported recently that tech giant Nvidia warned of supply bottlenecks extending into 2028. Erickson said he plans to make sure Runpod is "allocating resources in the correct way so that we can be able to supply those infrastructure needs to the demand that's coming." The company will also need to consider its strategy for going after that limited GPU supply and how to pay for it, he said. Returning to his roots. At Runpod, Erickson will apply his experience as senior finance manager at Amazon Web Services from 2011 to 2015, and finance director for Microsoft's Azure cloud business through 2017. At Amazon and Microsoft, Erickson worked in environments that grew rapidly, he said. Conducting due diligence and ensuring processes and tools are in place before making tough investment decisions were critical given the end-result could be costly, he said. "What's challenging in some of these businesses is usually the faster you grow, the more money you have to spend, and the more money that you're draining or burning," said Erickson. "How do you manage through a very high, fast growth environment, but also try to drive profitability through the operations?" Beyond the opportunity to help build a business in a "category-defining market," Erickson said Runpod has an excellent product market with about 1 million developers using its platform. That speaks to the value of what the company is offering, he said. Runpod's founders and management team also laid a strong foundation, Erickson added. When Erickson led financial planning at DigitalOcean from 2017 to 2023, the cloud computing and infrastructure-as-a-service company was similar to Runpod's current position, he said. It went after developers before transforming the business into a larger enterprise that went public in 2021, he said. "I'm kind of coming back to my roots in the cloud infrastructure space," Erickson said.
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.
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.
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
/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...