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.
As a Sales Engineer at Parasail, you will own the technical motion across the full customer lifecycle—from discovery through production deployment. You will partner closely with Account Executives to win strategic deals, and remain deeply involved post-sale to ensure successful implementation, performance, and expansion. You are equally comfortable running a technical discovery with a CTO, whiteboarding infrastructure with an ML engineer, building a live demo environment, or debugging a production inference issue. This is a highly cross-functional role spanning sales, engineering, product, and customer success.
What You’ll DoPre-Sales (Revenue Partnership)- Lead technical discovery to understand AI/ML architectures, inference workloads, compliance constraints, and scaling requirements.
- Architect production-ready solutions leveraging Parasail’s inference endpoints and infrastructure.
- Deliver customized demos and proof-of-concept environments aligned to customer use cases.
- Evaluate API integrations, model performance requirements, data residency, SLAs, and security needs.
- Own technical validation during enterprise procurement processes.
- Address technical objections and support negotiations around SLAs, deployment models, and implementation timelines.
- Partner with AEs to convert inbound and outbound opportunities into closed deals.
- Serve as the technical lead for strategic accounts during onboarding and early production.
- Diagnose runtime issues across latency, GPU utilization, concurrency, memory behavior, and model lifecycle.
- Debug infrastructure issues (Kubernetes, container orchestration, networking, observability).
- Lead high-severity escalations with executive-level communication.
- Translate recurring technical pain points into internal improvements (runbooks, documentation, product roadmap signals).
- Provide structured product feedback based on real-world customer usage.
- Contribute to competitive positioning and field enablement.
- Maintain and improve demo environments, internal knowledge bases, and technical collateral.
- Stay current on trends in LLMs, inference optimization, open-source model ecosystems, and AI infrastructure.
- 4+ years in Sales Engineering, Solutions Engineering, Customer Engineering, or Technical Account roles in B2B SaaS or infrastructure.
- Experience supporting enterprise customers with production SLAs.
- Background working with AI/ML systems, LLM inference, or high-performance workloads strongly preferred.
- Familiarity with GPU-backed infrastructure
- Ability to reason about model performance, latency, concurrency, and scaling tradeoffs.
- Executive presence and ability to explain complex systems clearly.
- Customer-first mindset with strong ownership instincts.
- Ability to move fluidly between strategic architecture and tactical debugging.
- Highly organized, capable of managing multiple enterprise accounts in parallel.
- Thrives in fast-paced, high-growth environments.
- Experience supporting AI infrastructure platforms or model-serving systems.
- Exposure to open-source model ecosystems.
- Experience running structured POCs.
- Comfortable experimenting and iterating on sales processes and technical positioning.
- Competitive base + OTE + meaningful equity
- Comprehensive health, dental, and vision coverage
- Generous PTO and company holidays
- 401(k), Family Planning (Fertility)
- Opportunity to work at the frontier of AI infrastructure
We are building the enterprise layer for open-source AI. As organizations increasingly demand flexibility beyond closed model providers, Parasail enables secure, scalable, production-ready endpoints for frontier models. If you want to operate at the intersection of AI research, production systems, and enterprise impact—and serve as the orthogonal bridge between revenue and engineering—this role is for you.
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