Shadeform
Remote Jobs
Shadeform is the cloud marketplace for GPU infrastructure. We make it simple for AI teams to find, compare, and launch GPU capacity across every major cloud provider. We're a small, fast-moving team building critical infrastructure for the AI era. We care deeply about clear thinking, strong execution, and working with people who raise the bar for the team around them. The AI infrastructure market is evolving quickly, and we think that creates an opportunity to rethink how modern technical companies approach marketing from the ground up.
3 Jobs
Sales Development Representative
ShadeformShadeform is the cloud marketplace for GPU infrastructure. We make it simple for AI teams to find, compare, and launch GPU capacity across every major cloud provider. We're a small, fast-moving team building critical infrastructure for the AI era. We care deeply about clear thinking, strong execution, and working with people who raise the bar for the team around them. The AI infrastructure market is evolving quickly, and we think that creates an opportunity to rethink how modern technical companies approach marketing from the ground up.
Role Description As an SDR at Shadeform, you'll build and feed a qualified pipeline into the sales team through both outbound prospecting and inbound lead management. The role combines market intelligence, technical awareness, and structured outreach to find and engage the right buyers — while making sure no inbound opportunity slips through without a timely, high-quality response. What You'll Do - Market intelligence and prospecting - Own end-to-end research for the verticals you identify as most promising — mid-market and early-stage startups, enterprise, AI labs, GenAI companies, VFX and rendering, bioinformatics, and others. - Build accurate, enriched prospect lists using tools like Apollo, Unify, Crunchbase, and LinkedIn Sales Navigator. - Map org structures to find decision-makers and budget holders (CTO, Head of Infrastructure, ML Lead, Ops). - Track GPU capacity trends, ecosystem movements, and gaps that point to product opportunities. - Feed that intelligence back to the team to shape messaging and campaigns. - Outbound execution - Run multi-channel campaigns across email, social, and phone, with messaging tailored to each prospect's stack and scaling needs. - Write technically aware messaging that shows real understanding of AI infrastructure pain points — GPU scarcity, latency, scaling bottlenecks, market shifts. - Book a minimum of 30 discovery calls per month with qualified buyers, plus platform registrations. - Deliver at least 5 qualified opportunities per month to the AE team that convert into pipeline. - Inbound lead management - Own the inbound lead queue as your first priority — no inbound lead goes uncontacted beyond 4 business hours. - Respond to every inbound lead with a personalized, technically aware first touch that reflects their context, not a generic template. - Qualify inbound leads with the same frameworks you use for outbound — validating pain, budget, timing, and technical fit before routing. - Triage accurately: route high-value or complex opportunities to the Senior AE and Head of Sales with full context, and self-manage smaller or early-stage leads through to qualification. - Track and report on inbound volume, source quality, and conversion rates so the GTM team can see which channels perform best. - Log every inbound lead in the CRM on receipt, with source, initial context, and next step recorded. - Lead qualification and handoff - Use our sales frameworks and playbooks to validate pain, budget, and timing, and to think creatively about how we onboard customers for the long term. - Understand each customer's technical context — workload type (LLM training vs. inference), GPU requirements, current deployment scale, and who to engage to support them over time. - Hand off qualified opportunities to the AE team with complete context and a full set of qualification questions answered, so they walk into the meeting knowing what the customer needs. - Log all activity, insights, and engagement data cleanly in the CRM. - Strategic enablement - Continuously optimize outreach methods and sequences based on performance data. - Collaborate with marketing, GTM, and the AE team on outbound content — case studies, email hooks, and campaign angles. - Experiment with AI-driven prospecting tools and automation to scale efficiency across the GTM team. - Cloud provider and capacity sourcing - Proactively identify and vet new GPU cloud providers and capacity sources to close supply gaps against active pipeline — particularly for high-demand SKUs (H100, H200, B200/B300) where existing supplier inventory can't meet a deal's requirements or timeline. - Monitor the GPU supplier landscape — neoclouds, regional data centers, emerging capacity providers — to build a bench of vetted, ready-to-activate providers before they're needed, rather than sourcing reactively once a deal stalls. - Work directly with Sales and the founding AE team to understand unmet requirements on live deals (region, SKU, node count, SLA terms, timeline) and translate them into targeted outreach to prospective suppliers. - Run initial vetting on new providers — capacity, pricing competitiveness, SLA terms, data center tier and certifications, network performance — before looping in Sales or Ops for deeper diligence. - Keep accurate, up-to-date records of prospective and onboarded providers in Airtable (Supplier Inventory), including capacity, pricing, lead times, and relationship status. - Flag supply constraints or emerging shortages to Sales and leadership early, so pricing and deal strategy can adjust before they become blockers. - Build relationships with provider-side BD and sales contacts to create a repeatable sourcing channel rather than one-off outreach per deal. Qualifications - 1–3 years in an SDR, BDR, or similar outbound sales role, ideally selling a technical product to a technical buyer. - A real prospecting habit — you're comfortable running email, social, and phone outreach, and you write messaging that lands. - Enough technical fluency to hold your own in a conversation about AI infrastructure, or the appetite to get there fast. - Discipline with a CRM and your pipeline. You log activity as you go and treat clean data as part of the job, not an afterthought. - Comfort qualifying against frameworks — validating pain, budget, timing, and technical fit — and knowing when to route a lead up versus run with it yourself. - Hands-on experience with prospecting tools like Apollo or LinkedIn Sales Navigator (or the ability to pick them up quickly). Nice to Have - Experience selling into AI labs, infrastructure teams, or developer-heavy organizations. - Familiarity with the GPU or cloud market — neoclouds, data center capacity, SKUs like H100 and H200. - A track record of experimenting with AI-driven or automated prospecting workflows. What We Offer - Competitive base salary and performance-based variable compensation. - A remote-first team that works across the US and EU. - Comprehensive health benefits and flexible time off. Equal Opportunity Shadeform is an equal opportunity employer. We're committed to building a diverse team and welcome applicants of all backgrounds. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. To apply, submit your resume through our careers page and we'll be in touch.
Colocation & Data Center Manager
ShadeformShadeform is the cloud marketplace for GPU infrastructure. We make it simple for AI teams to find, compare, and launch GPU capacity across every major cloud provider. We're a small, fast-moving team building critical infrastructure for the AI era. We care deeply about clear thinking, strong execution, and working with people who raise the bar for the team around them. The AI infrastructure market is evolving quickly, and we think that creates an opportunity to rethink how modern technical companies approach marketing from the ground up.
Role Description As demand for GPUs outpaces supply, the most engaging part of our business is finding and developing capacity. We source it by going deeper into the market than anyone else: working directly with data center operators, developers, and neo-clouds, and helping them clear the barriers that keep them from scaling. As our Colocation & Data Center Manager, you'll work alongside our supply lead to build out the colocation and powered land side of that program. The role is part business development and part account management. You'll source new capacity, build long-term relationships with the operators who hold it, and help them solve the power, space, and capital constraints that limit their growth. This is primarily a supply sourcing and account-management role, with occasional direct engagement on the demand side when it helps close a deal. What You'll Do - Source colocation and powered land capacity - Run outbound to smaller and mid-tier data center operators, developers, and neo-clouds. - Qualify opportunities on the factors that matter: power quota, colocation space, capital readiness, zoning and regulatory status, pricing, and timeline. - Help operators clear the barriers to scale - often power, space, or capital. You'll help them solve it, or connect them with partners who can. - Manage and grow supplier relationships - Own recurring touch points across the supplier base, on a weekly or biweekly cadence depending on the account. - Track capacity as it comes online, plan against it, and capture it for Shadeform's customers. - Become the first call operators make when they have capacity to move or need help expanding it. - Support demand when it matters - Step in alongside the supply lead and sales team on demand-side conversations when your relationships or expertise help move a deal forward. Qualifications - 3+ years (5+ preferred) in business development, site selection, supply, capacity, or account management within data centers, colocation, powered land, or cloud infrastructure. - A track record of building and owning long-term commercial relationships, not one-off transactions. - Experience qualifying capacity or deals across power, colocation space, capital readiness, zoning and regulatory, pricing, and timeline. - Comfort operating in a new, fast-moving function where you'll build process as you go. - Willingness to travel occasionally to suppliers and sites. Nice to Have - Direct experience on the colocation and/or powered land side of the market. - Project finance or project development experience involving colocation facilities, data centers, or GPU cluster deployments. - Familiarity with power generation, transmission, or utility infrastructure. - Experience at a neo-cloud, data center developer or operator, hardware OEM (server, storage, or networking), energy or power developer, utility infrastructure firm, or a commercial real estate data center and industrial team. - An existing network of operators, developers, or capacity partners. Benefits - Competitive base salary, performance-based variable compensation, and meaningful equity in a profitable, fast-growing company. - A remote-first team that works across the US and EU. - The chance to build a brand-new function and own one of the most strategic areas of our business as it scales. - Comprehensive health benefits and flexible time off. Equal Opportunity Shadeform is an equal opportunity employer. We're committed to building a diverse team and welcome applicants of all backgrounds. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. To apply, submit your resume through our careers page and we'll be in touch.
Customer Success Engineer II
ShadeformShadeform is the cloud marketplace for GPU infrastructure. We make it simple for AI teams to find, compare, and launch GPU capacity across every major cloud provider. We're a small, fast-moving team building critical infrastructure for the AI era. We care deeply about clear thinking, strong execution, and working with people who raise the bar for the team around them. The AI infrastructure market is evolving quickly, and we think that creates an opportunity to rethink how modern technical companies approach marketing from the ground up.
Role Description We're hiring a Customer Success Engineer II to help customers successfully use and scale AI infrastructure on Shadeform. As a technical point of contact, you'll: - Investigate, troubleshoot, and resolve customer-reported issues across infrastructure, platform, hardware, and Linux, coordinating with providers as needed. - Manage server provisioning, deployments, and delivery timelines by coordinating across infrastructure providers and internal teams. - Communicate proactively with customers throughout issue resolution and deployment, providing clear updates and setting expectations. - Create and maintain documentation, troubleshooting guides, and operational playbooks that improve internal efficiency and the customer experience. - Monitor recurring issues, identify root causes, and partner with engineering and product teams to drive fixes that improve reliability. - Serve as a technical advocate for customers, surfacing trends and product feedback that shape continuous improvement. - Consistently meet service levels, support KPIs, and customer success objectives while adapting to evolving team priorities. Qualifications - 2+ years in a customer-facing technical role (Customer Success Engineering, Technical Support, Solutions Engineering, or similar), ideally supporting infrastructure or cloud products. - Strong Linux fundamentals: comfortable navigating the command line, reading logs, diagnosing networking and hardware issues, and troubleshooting performance problems. - Proven ability to manage multiple issues and deployments in parallel without dropping details or missing timelines. - Excellent written and verbal communication, with a track record of explaining technical concepts clearly to both technical and non-technical audiences. - A customer-first mindset paired with the judgment to know when to escalate, when to dig deeper, and when to loop in providers or internal teams. - Comfort working in a fast-moving environment where priorities shift and processes are still being built. Requirements - Bonus: Working knowledge of cloud and/or GPU infrastructure (compute, networking, storage); familiarity with GPU servers, drivers, or ML workloads is a strong plus. - Bonus: Experience with provisioning/deployment workflows, scripting (Bash/Python), networking concepts (InfiniBand/RoCE, subnets), or working directly with infrastructure vendors. Benefits - Health, dental, vision, 401(k), flexible PTO Company Description Shadeform is the cloud marketplace for GPU infrastructure. We make it simple for AI teams to find, compare, and launch GPU capacity across every major cloud provider. We're a small, fast-moving team building critical infrastructure for the AI era. We care deeply about clear thinking, strong execution, and working with people who raise the bar for the team around them. The AI infrastructure market is evolving quickly, and we think that creates an opportunity to rethink how modern technical companies approach marketing from the ground up.