Full-Time
Senior Sales Engineer
Parasail
11-50 employees
Enterprise-grade AI compute infrastructure provider
No salary listed
San Mateo, CA, USA
In Person
On-site in San Mateo, California.
 Sales & Solution Engineering (1) |
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- A few years of technical, customer facing experience. Roughly 4+ years where you've been the technical owner of customer relationships, in solutions or sales engineering, forward deployed engineering, applied AI, or a comparable hands on role.
- Real fluency with inference. You understand serving models at scale and the tradeoffs that come with it, and you can speak credibly about latency, throughput, and cost without hand waving.
- You write code. Python specifically, at a level where you can build, read, and debug something that runs in production, not only prototype it.
- Cloud at scale. Practical experience operating on AWS, Azure, or GCP and serving real workloads on them.
- A communicator people trust. You can lead a focused discovery call, hold your own in front of an executive, and get into the weeds with an engineer, adjusting your altitude to the room.
- Understand the problem. Run deep discovery to fully understand the customer's requirements and use case, what they've optimized for in the past, where they're investing today, and what "good" actually looks like to them, before you propose anything.
- Prove it on Parasail. Scope a focused proof of concept, agree with the customer on how success will be measured, and drive it to a working result alongside our product and engineering teams. You keep the scope defined and the timeline real.
- Tune for production. Run inference sweeps, set performance baselines for their workload, and dial in deployments that hit their specific latency, throughput, and cost numbers. Recommend the right model and serving approach, and help them stand up the evals that keep quality honest once they scale.
- Stay their technical partner. Keep the relationship healthy from the first engineer who championed you to the executive who signs off, sustain momentum through longer cycles, and turn what you see in the field, the recurring friction, the missing capability, the pattern across accounts, into concrete input for our roadmap.
- Hands on time with modern inference tooling such as vLLM, TensorRT LLM, CUDA, or Kubernetes.
- A working sense of when and how to fine tune, and the methods behind it.
- Experience moving fluidly across engineering, product, and go to market without dropping the thread.
Parasail provides scalable, enterprise-grade AI compute infrastructure designed to support diverse machine learning workloads. It offers high-performance computing resources to run AI and ML tasks, including batch processing and multimodal AI, with a focus on speed, reliability, data privacy, and security compliance. By removing traditional barriers like long-term contracts and sales intermediaries, Parasail aims to make AI compute more accessible and affordable for a wide range of customers—from startups to large enterprises. Its goal is to power the AI revolution by enabling high-throughput screening and efficient workloads with minimal engineering overhead.
Company Size
11-50
Company Stage
Series A
Total Funding
$32M
Headquarters
San Mateo, California
Founded
2023
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See people who can refer or advise you
Simplify's Take
What believers are saying
- Series A capital expands capacity and scheduling algorithms.
- Batch pricing cuts large offline job costs by up to 50%.
- Elicit already screens over 100,000 scientific papers daily on Parasail.
What critics are saying
- OpenAI, Anthropic, and Google commoditize Parasail's price-speed advantage.
- GPU supplier tightening raises costs and weakens Parasail's brokerage margins.
- Heterogeneous routing creates inconsistent performance that can break enterprise inference SLAs.
What makes Parasail unique
- Aggregates GPU supply across 40 data centers in 15 countries.
- Combines NVIDIA Hopper and Blackwell with d-Matrix Corsair for heterogeneous inference.
- Deploys production endpoints in under five minutes with no contracts.
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Benefits
Company Equity
Growth & Insights and Company News
6 month growth
↑ 33%1 year growth
↑ 33%2 year growth
↑ 45%Parasail's AI Supercloud: A platform play aiming to monetize the next wave of AI. April 15, 2026 Parasail today revealed a 32 million Series A to build its AI Supercloud, a platform designed to put developers in control of the growing flood of AI agents and workloads. The core concept is audacious in scale and pragmatically valuable for money making: create a portable, secure, governance-friendly runtime for training and inference that works across ecosystems, enabling developers to deploy, manage and monetize intelligent agents without being trapped in a single cloud or vendor. What makes the idea technically compelling is the Supercloud's promise of interoperability and control. AI agents require orchestration, data access, model execution environments and cost governance across heterogeneous infrastructure. Parasail positions itself as the abstraction layer that lets teams train agents once and run them anywhere, with standardized interfaces and robust policy controls. If successful, this reduces vendor lock-in, speeds time to value, and lowers the total cost of ownership for enterprise AI programs. In practice, it could also accelerate the deployment of autonomous workflows in customer service, operations, supply chains and product development by removing friction between models, data sources and compute fabrics. From a money-making perspective, the opportunity is substantial. Enterprise AI budgets are projected to grow as firms scale hundreds or thousands of autonomous tasks, agents and decisioning systems. A platform that monetizes developer activity - through usage-based charges for runtime hours, data access, model hosting, and governance features - can become a recurring revenue backbone for AI programs. Additional revenue streams could include: - Tiered subscriptions for different levels of control, security, and governance capabilities. - Pay-as-you-go inference and training usage, with elastic pricing tied to workload size and latency requirements. - A marketplace for AI agents, tools and connectors that accelerates go-to-market for independent software vendors and system integrators. - Professional services and managed deployments for regulated industries such as finance, healthcare and manufacturing. The market dynamics support a platform thesis. Large enterprises are increasingly investing in multi-cloud strategies and in complex AI ecosystems that require portability and governance. Hyperscalers offer powerful infrastructure but often lock customers into their ecosystems. A True AI OS layer that coordinates across clouds could capture a broad slice of the AI operations budget, especially as firms seek to standardize agent development, testing, deployment and compliance across lines of business. Investment implications are meaningful for founders and investors. A 32 million Series A signals strong venture appetite for infrastructure plays in the AI stack, not just applications or services. If Parasail can demonstrate real multi-cloud runtimes, security, audit trails and reliable agent lifecycle management, subsequent funding rounds will likely emphasize scaling, go-to-market partnerships and ecosystem development. Strategic bets from cloud providers, AI chipmakers, or enterprise software platforms could accelerate growth or lead to beneficial collaborations. The risks are non-trivial, including competition from hyperscalers building similar portability layers, the challenge of achieving true cross-cloud performance parity, and the need to navigate data privacy and regulatory requirements across industries. For entrepreneurs, Parasail represents a blueprint of how to monetize AI infrastructure. The product opportunity sits at the intersection of developer experience, enterprise governance, and cloud-agnostic deployment. Success will hinge on quantifiable savings for customers (lower compute costs, faster deployment cycles, easier compliance) and a robust partner ecosystem that expands the Supercloud's reach beyond a single logo or use case. In the near term, expect a focus on industry-specific deployments, certification programs, and compliance-ready templates that reassure buyers in regulated sectors. Longer term, the company could evolve into a critical platform layer alongside data management and model marketplaces, becoming a recurring revenue hub for AI operations. If Parasail delivers on its promise, the AI Supercloud could transform how organizations build, run and profit from autonomous software, unlocking a new era of tech-driven wealth creation for developers and investors alike.