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Salary: USD 154,000 - 222,000 / annual
Prefect builds automation platforms for an unpredictable world. Following the August 2026 merger with Dagster, the company now operates an integrated ecosystem including Prefect (agent platform), Dagster (data platform), and FastMCP (open-source MCP framework). These products are used by Fortune 500 companies and high-growth tech firms for mission-critical data pipelines and AI agent fleets.
As a Senior Sales Engineer on the Prefect subject-matter-expert pod, you will own the technical side of enterprise deals from discovery through close. You'll pair with account executives on new business, conducting discovery calls, delivering tailored demos, running proofs of concept, and managing security and architecture reviews. Your role spans the entire platform—Prefect Cloud, Dagster+, AI governance tooling, and FastMCP integration—helping customers understand how these pieces fit together to solve their use cases.
Key responsibilities include:
- Advising prospects and demonstrating platform value from a technical perspective throughout the sales cycle
- Distilling customer use cases: taking fragmented requirements (existing data platforms, tool stacks, team expectations, budgets) and mapping them to Prefect solutions
- Selling across the full platform, often in conversations spanning Prefect, Dagster, FastMCP, hybrid architectures, and AI governance with teams that know their destination but not the path
- Translating field signal into product direction through GTM-engineering partnership channels
- Building demo environments, architecture diagrams, competitive battlecards, and internal tooling
- Contributing ideas and championing the culture; surfacing problems early and helping resolve them
You report to Wayne Grigsby, Sales Engineering Lead, within a function led end-to-end by George Coyne, Director of Sales Engineering. This is a pre-sales seat focused on new business.
REQUIREMENTS:
- 3+ years of engineering experience building real solutions (data engineering, DevOps, software engineering, data science). Python is the house language.
- 2+ years in a customer-facing role with deep discovery skills; ability to uncover the real problem before proposing solutions.
- Curiosity and creativity: you take things apart to understand how they work, then recombine pieces in novel ways (new use cases, unexpected demos, creative workarounds).
- Ability to explain complex technical concepts clearly to senior engineers; they should trust you after a call.
NICE TO HAVE:
- 2+ years of prior sales engineering experience
- 2+ years of enterprise infrastructure depth (AWS, Azure, or GCP; Kubernetes, networking, IAM, service mesh, production databases like Postgres)
- Experience with orchestration tools as user, builder, or seller (Prefect, Dagster, Airflow, Temporal, Step Functions, etc.)
- Fascination with AI; hands-on experience with MCP, agents, or LLM applications
