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Solutions Engineer

SF Bay Area (Hybrid)

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 looking for Parasail’s first Solutions Engineer to work closely with our customers and prospects to evaluate Parasail’s platform, understand complex technical needs, and design high-impact solutions. In this role, you’ll act as the primary technical partner during the pre-sales and onboarding lifecycle, guiding teams through architectural decisions, API integrations, and proof-of-concept implementations.

About the Role

Solutions Engineers at Parasail bridge the gap between our product and our users. You’ll work hand-in-hand with AI/ML leaders and platform engineering teams to uncover their needs and demonstrate how Parasail can solve their most critical infrastructure challenges. Whether you're helping a customer evaluate our observability tooling, supporting an LLM deployment workflow, or guiding a real-time inference stack migration, you’ll serve as both an educator and a collaborator.

This role is ideal for someone who thrives at the intersection of AI, systems engineering, and developer experience and is excited to work closely with leading ML teams across industries.

Core Responsibilities

  • Partner with prospective customers to understand their technical goals and evaluate Parasail’s fit in their AI/ML or data infrastructure
  • Lead technical discovery, architecture design, and proof-of-value engagements with engineering teams
  • Build and deliver tailored demos, sample applications, and workshops that illustrate Parasail’s value across a variety of AI/ML use cases
  • Serve as the technical point of contact for the pre-sales lifecycle, working alongside our CEO and go-to-market team to define success criteria and implementation plans
  • Collaborate with our CEO on building and scaling Parasail’s Sales function
  • Build strong relationships with ML engineers, MLOps teams, and platform owners as a trusted advisor throughout the engagement
  • Synthesize insights from the field to inform Product and Engineering, helping shape Parasail’s roadmap with real customer feedback
  • Contribute technical artifacts including code samples, notebooks, internal tools, and onboarding templates to accelerate future engagements

What We’re Looking For

  • 6+ years of experience in a technical role, such as Solutions Engineering, ML Engineering, MLOps, or Developer Tooling
  • Deep passion for AI, someone who keeps up with the latest models and hardware, use case innovations, and industry news
  • Strong programming skills in Python and hands-on experience with platforms and frameworks like PyTorch, TensorFlow, or Hugging Face
  • Familiarity with machine learning workflows from experimentation and model deployment to observability and optimization
  • Excellent communication skills, including comfort guiding technical conversations and presenting to both engineering and leadership audiences
  • Experience with cloud environments (AWS, GCP, or Azure) and containerization tools
  • Comfort working in an early-stage, fast-paced, high-ownership environment where collaboration and adaptability are essential

Bonus Points For

  • Experience working with LLMs or GenAI workloads in production
  • Familiarity with Kubernetes or infrastructure-as-code tools
  • Prior experience running proof-of-concept projects, product evaluations, or technical onboarding in a pre-sales context
  • Contributions to open-source projects or developer education (e.g., blog posts, workshops, GitHub examples)
  • Interest in privacy-preserving AI and observability at scale

Why Join Parasail

  • Shape the technical foundation of a category-defining AI deployment platform
  • Collaborate with a mission-driven, deeply technical team
  • Work directly with some of the most advanced ML and infrastructure teams in the world
  • Competitive salary, equity, and full benefits
  • Hybrid collaborative culture with a focus on autonomy, speed, and deep learning

Apply Now

If you’re excited to work at the frontier of AI infrastructure and help engineering teams succeed with cutting-edge tooling, we’d love to hear from you.

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