Job Details

Sales Engineer

  2026-03-03     Parasail     all cities,AK  
Description:

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.

The Role

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 Do
Pre-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.
Post-Sales (Technical Ownership)
  • 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).
Internal Collaboration
  • 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.
What You Bring
Experience
  • 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.
Technical Skills
  • Familiarity with GPU-backed infrastructure
  • Ability to reason about model performance, latency, concurrency, and scaling tradeoffs.
Strengths
  • 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.
Ideal Background
  • 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.
Compensation & Benefits
  • 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
Why Parasail

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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