Parasail is redefining AI infrastructure by enabling seamless deployment across a distributed network of GPUs, optimizing for cost, performance, and flexibility. Our mission is to empower AI developers with a fast, cost-efficient, and scalable cloud experience—free from vendor lock-in and designed for the next generation of AI workloads.
We’re hiring a Sales Engineer to serve as the technical anchor of our pre-sales motion. You’ll partner closely with Account Executives at roughly a 3:1 AE-to-SE ratio, supporting a high-velocity pipeline with deal sizes typically ranging from $50K–$200K ARR. Our buyers are developers and infrastructure teams. They expect a sales experience that is technically credible, hands-on, and efficient. In this role, you’ll work directly with prospects to understand their workloads, run demos and performance validations, guide proofs-of-concept, and help teams confidently move from evaluation to production.
A key differentiator for this role: you should be fluent in modern AI-assisted development workflows. Our customers increasingly build with coding agents and AI-native tooling, and we want an SE who can meet them at that level—with real, professional experience using these tools in production environments.
What You’ll DoPre-Sales & Technical Validation- Own the technical side of the pre-sales process end-to-end: discovery, qualification, solution design, and validation
- Support multiple AEs simultaneously in a fast-moving sales environment, prioritizing effectively across concurrent deals
- Lead deep technical conversations with developer and infrastructure teams around Parasail’s APIs, architecture, and performance characteristics
- Design and run proof-of-concepts, benchmarks, and performance tests in partnership with prospects and internal engineering
- Translate customer workloads and requirements into clear technical recommendations and solution designs
- Build and deliver compelling, customized technical demos aligned to real customer use cases
- Engage directly with developer audiences through live coding, API walkthroughs, and real-time troubleshooting
- Use coding agents and AI-assisted development tools in demos and POCs to reflect how modern teams actually build
- Create reusable demo assets, scripts, and environments to accelerate future sales cycles
- Support new customers through early integration to ensure fast time-to-value
- Partner with product and engineering to unblock technical issues during onboarding
- Flex into adjacent customer success responsibilities as the post-sales function scales
- Bring structured feedback from the field to product and engineering to inform roadmap and prioritization
- Partner with founders and GTM leadership to refine the pre-sales playbook, qualification standards, and technical validation process
- Identify recurring objections, requirements, and competitive patterns to improve win rates over time
- 4+ years in a pre-sales technical role (Sales Engineer, Solutions Engineer, or similar) at an infrastructure, platform, or developer tools company
- Strong technical foundation across APIs, cloud infrastructure, developer platforms, and AI/ML workloads
- Hands-on experience with coding agents and AI-assisted development tools (e.g., Cursor, GitHub Copilot, Claude Code), ideally in a professional production environment
- Experience selling to developer and engineering teams as primary buyers
- Proven ability to operate in a high-velocity sales motion with multiple concurrent deals
- Comfortable spanning both technical depth and business context—from live debugging to value and ROI conversations
- Clear, concise communicator who can translate complex infrastructure concepts for technical audiences
- Thrives in fast-moving, ambiguous startup environments with high ownership and bias toward action
- Background at an infrastructure or PaaS company serving developer-first customers
- Experience with AI/ML infrastructure, inference optimization, or GPU-based systems
- Exposure to early-stage GTM development or building pre-sales motions from scratch
- Familiarity with product-led growth and technical onboarding flows
- Experience with LLM-based systems, real-time AI applications, or speech pipelines
- Join early at a high-growth AI infrastructure company with real technical differentiation
- Shape how we sell, validate, and onboard customers from the ground up
- Work alongside a tight-knit team that values speed, impact, and customer obsession
- Competitive compensation, meaningful equity, and a flexible hybrid work environment
Top Skills
What We Do
Parasail is the first AI Deployment Network built for the new era of open and scalable AI. We connect teams to the world’s largest pool of on-demand GPU compute—giving AI builders fast, flexible, and cost-efficient infrastructure to deploy and scale models without contracts, quotas, or cloud complexity. From real-time inference to massive batch jobs, Parasail intelligently matches workloads across a global GPU network, optimizing for performance, price, and geography. No DevOps burden, no vendor lock-in—just plug-and-play access to high-performance infrastructure that works with the latest open-source models and evolving AI stacks. Companies like Weights & Biases, Elicit, Rasa, Everpilot, and Oumi are already building faster and saving up to 30x on costs with Parasail. The future of AI deployment isn’t a single cloud. It’s a global compute network. Parasail is making that future a reality. 🔗 www.parasail.io
