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Senior Technical Partnerships Manager

PrimeIntellect · San Francisco · posted 33 days ago

📍 Remote · United States onlyPay not publishedPartnerships & BDPermanent

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PrimeIntellect at a glance

Team size
Medium (50–250 people)
Company momentum
Funded (Series A to E)
What you'd sell
AI
Why sellers can succeed here
Ramp period stated
Open remote sales roles
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What the advert tells you

Company
PrimeIntellect
Green flags
Ramp period stated
Accepted locations
United States
Languages required
No other language stated
How remote
Field-based (territory)
Pay
Not published
Level
Partnerships & BD
Job type
Permanent
Company size
Medium (50–250 people)
What you'd sell
AI
Pipeline
Partner or channel sourced
The number
Ramp period stated
How you're paid
Accelerators
Company momentum
Funded (Series A to E)
Growth
Learning budget
Remote culture
Team offsites

Full job description

OWN YOUR INTELLIGENCE Prime Intellect is building the open superintelligence stack: the infrastructure frontier AI labs build internally, made available to every ambitious AI team. Our platform, Lab, unifies compute, environments, evaluations, secure sandboxes, high-performance training, and deployment into one full-stack system for post-training at frontier scale - from SFT and RL to tool use, agent workflows, and continuously improving production models. We are building open frontier AI: open-source models trained end to end for long-horizon tasks like autonomous research, and the full-stack platform our own research team uses to build them. The next generation of AI companies, enterprises, and research teams do not just need more GPUs. They need the ability to turn their own workflows, tools, data, and feedback loops into superintelligence they own. Prime Intellect has raised $150M in total funding from Founders Fund, Radical Ventures, NVIDIA, and exceptional AI, infrastructure, and enterprise operators — including Andrej Karpathy, Dwarkesh Patel, and leaders and founders from Ramp, Perplexity, Harvey, Mercor, Zapier, Datadog, Cognition, OpenAI, Thinking Machines, Together AI, SemiAnalysis, LangChain, Browserbase, Cloudflare, Sierra, Databricks, Airbnb, OpenRouter, Standard Intelligence, Fleet, Core Auto, and more. We are looking for people who want to build at the intersection of frontier research, real infrastructure, and go-to-market for a category that does not fully exist yet. YOUR ROLE No one builds the AI infrastructure stack alone. The GPU makers, cloud and datacenter providers, model labs, and enterprise platforms we work with are core to how we reach customers and how we ship. The partnerships that matter in this industry are not logos on a slide — they are shipped integrations, field teams that can actually sell and support a joint solution, and customers who win because both companies showed up together. Very few people know how to make those partnerships real at the technical and commercial level simultaneously. You will own our most strategic technical alliances end to end: NVIDIA, hyperscalers, neoclouds, datacenter operators, and the next wave of partners across models, tooling, and enterprise. You will be the person a partner's engineering, product, and field teams trust to turn a signed MOU into something that moves pipeline and ships product. The work sits at the intersection of technical depth and commercial execution. You will go deep enough on GPUs, networking, distributed training, and inference stacks to hold your own with partner engineers, and broad enough to run joint go-to-market, executive relationships, and a scalable partner program. You will scope proofs of concept with joint customers, build the enablement that lets partner sellers position us, secure marketplace and co-sell motions, and bring partner roadmaps back into our product and research decisions. The partnerships you build will directly shape how Prime Intellect reaches the labs, enterprises, and research teams building on our stack — and how fast we can deliver compute, training, and environments to them. RESPONSIBILITIES Partner Relationship Management - Own 3–5 tier-1 technical partnerships (e.g., NVIDIA, hyperscalers, neoclouds, datacenter operators) as the single accountable lead - Build relationships across the partner org at every level: alliance managers, developer relations, product and engineering, field sales, and executives - Run quarterly business reviews and set joint annual plans with clear goals, owners, and metrics - Navigate partner programs (e.g., NVIDIA Inception, NPN, cloud marketplace and co-sell programs) to unlock credits, benefits, tiering, and visibility - Negotiate and manage partnership agreements, MOUs, and joint commitments with Legal and Finance Joint Customer Engagement - Lead and join joint customer calls with partner account teams, from discovery through technical deep dives and close - Act as the technical bridge in deals: map customer workloads to the joint solution, scope proofs of concept, and remove blockers - Coordinate escalations across both companies when joint customers hit issues - Build a pipeline of partner-sourced and partner-influenced opportunities, and report on it Technical Integration & Product Feedback - Drive joint technical work: integrations, benchmarks, validated configurations, certifications, and optimizations on partner hardware and software - Get early access to partner roadmaps, hardware, and SDKs, and translate them into product opportunities for us - Bring partner and customer feedback into our product and research roadmaps, and advocate for our needs in the partner's roadmap - Write or co-author reference architectures, technical blog posts, and solution briefs Training & Enablement - Build enablement content for partner field teams: pitch decks, battlecards, demo scripts, reference architectures, and FAQs - Deliver live and recorded training to partner sellers, solution architects, and support engineers so they can position, sell, and troubleshoot our products - Enable our own team on partner products, roadmaps, and programs - Track enablement reach and impact: people trained, certified, and actively co-selling Joint Go-to-Market & Marketing - Plan co-marketing: launches, case studies, webinars, joint press, and partner showcase placements - Represent Prime Intellect at partner events and industry conferences (e.g., NVIDIA GTC), including talks, booths, and customer meetings - Secure marketplace listings and co-sell motions with cloud and channel partners Partner Program & Strategy - Identify and evaluate new strategic partners across compute, models, tooling, and enterprise - Design a scalable partner program: tiers, benefits, onboarding, and playbooks - Own partnership metrics and report regularly to leadership on revenue impact, pipeline, and technical milestones WHAT WE'RE LOOKING FOR - 7+ years in technical partnerships, alliances, solutions architecture, or technical business development, with at least 3 years managing strategic partners - Direct experience working with NVIDIA, a hyperscaler (AWS, GCP, Azure), or a GPU cloud provider — ideally on the partner side of that relationship - Strong technical grounding in AI infrastructure: GPUs and accelerators, networking (InfiniBand, RoCE), distributed training and inference, and the CUDA and PyTorch ecosystem - A track record of co-selling — you've run joint customer calls and closed or influenced deals alongside partner field teams - Experience building and delivering technical enablement to sales and engineering audiences - Comfortable presenting to executives, engineers, and conference audiences - Able to run a complex, multi-stakeholder relationship with little oversight, and to say no when a joint initiative isn't worth it - Clear, concise writer: plans, briefs, and technical docs - High ownership — you see gaps and bu

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