Sales Engineer

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.

• 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