---
title: 'Sales Development Representative at Shadeform'
canonical: 'https://feeny.ai/job/sales-development-representative-shadeform-remote-s4pnywzssrbt'
type: 'job'
last_seen: '2026-10-18'
---

# Sales Development Representative at Shadeform

- **Company:** Shadeform
- **Location:** Remote
- **Employment:** full-time
- **Work type:** remote
- **Posted:** 2026-07-02
- **Last confirmed live:** 2026-10-18
- **Apply:** https://jobs.ashbyhq.com/shadeform/766ed759-9ca3-40ee-99fa-6f3adb880d39

## Job description

## About Shadeform

Shadeform is a GPU cloud marketplace. We aggregate compute across 30+ cloud providers through a single API and dashboard, so teams can find, deploy, and manage GPUs wherever capacity is available and affordable.

We're a YC-backed company (S23) on track to surpass $100M in revenue this year. We're a small team of around 15 people building one of the most important layers of AI infrastructure.

## About the Role

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.

## What You'll Bring

- 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.

## About Shadeform

## Company Overview
- **One-liner**: Shadeform is a GPU cloud marketplace that provides a unified platform and API for AI and ML teams to access and manage GPU capacity across multiple cloud providers.
- **Entity Type**: Private (Pre-Seed/Seed stage; total funding $500K)
- **Headquarters**: San Francisco, California, United States
- **Founded**: 2023
- **Founders**: Ed Goode (CEO) and Ronald Ding (CTO)

## Core Business
- **Primary industry**: Cloud infrastructure for AI/ML (GPU computing)
- **Target customers**: B2B – AI startups, engineering teams, and enterprises that need reliable, on-demand GPU capacity for training and inference workloads.
- **Mission or purpose statement**: To unify ML infrastructure across clouds so teams are never blocked by their current provider’s GPU capacity and features.

## Products & Services
- **Shadeform Platform**: A single console and API that aggregates GPU availability and pricing from 30+ vetted providers across 100+ regions. Users can provision instances, deploy models for inference, receive availability notifications, configure auto-reservations, and manage all providers from one control plane.
- **Unified API**: Generalized API to launch workloads on any provider without managing multiple cloud logins, quotas, or vendor integrations.

## Market Standing
- **Valuation / Market Cap**: Not disclosed (private company)
- **Key Metric**: Total fundraised: $500K (latest round: Seed VC; previously pre-seed)
- **Notable Investors/Partners**: Y Combinator (Summer 2023 batch), Unpopular Ventures, Translink Capital, Soma Capital, Charlotte Fund
- **Growth Signals**: Small but growing team of 10-11 employees; active job postings (Founding Software Engineer, Chief of Staff, Founding Sales, Operations Specialist, Senior Marketer); LinkedIn follower growth +14.9% monthly; recent hires from top tech companies (Microsoft, AWS, Robinhood, Tesla, io.net).

## Competitive Advantages
- **Multi-cloud abstraction**: Eliminates the friction of dealing with disparate provider interfaces, quotas, and support pipelines.
- **Real-time availability & pricing data**: Ensures inference and training jobs run at optimal cost without manual comparison.
- **Strong industry partnerships**: Vetted network of 30+ GPU cloud providers, enabling capacity that large hyperscalers cannot always offer.
- **Founder expertise**: Previous experience building and operating critical cloud infrastructure at AWS, Azure, and scaling distributed systems at Robinhood.

## Strategic Focus
- **Scaling the platform**: Adding more providers and regions to expand capacity and geographic reach.
- **Automation & self-service**: Enhancing auto-reservation, notifications, and one-click deployment to reduce manual overhead.
- **Go-to-market expansion**: Hiring sales and marketing leadership to reach AI startups and enterprise teams struggling with GPU shortages.

## Why Work Here
- **Impact**: Early-stage infrastructure startup where engineers and sales hires can directly shape the product and company direction.
- **Remote-friendly**: Roles listed as San Francisco, CA / Remote (US) – flexible work arrangement.
- **Culture**: Small, high-impact team working on hard infrastructure problems; YC-backed with a fast-paced, ownership-driven environment.
- **Compensation**: Salary ranges posted ($100K-$190K for engineering, $125K-$300K for founding sales, plus equity likely included).
- **Engineering focus**: Building distributed systems, cloud APIs, and orchestration tools – ideal for engineers who enjoy deep infrastructure challenges.

## Sources
1. [Shadeform Careers](https://shadeform.com/jobs)
2. [Y Combinator Profile](https://www.ycombinator.com/companies/shadeform)
3. [LinkedIn Company Page](https://www.linkedin.com/company/shadeformai)
4. [CB Insights Profile](https://www.cbinsights.com/company/shadeform)
5. [Y Combinator Jobs](https://www.ycombinator.com/companies/shadeform/jobs)

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