Senior Sales Engineer at Prefect

Role Summary: Prefect acquired Dagster and now sells three core products: Prefect Cloud, Dagster+, and next-gen AI tooling for agents and humans. The Senior Sales Engineer role focuses on pre-sales activities, including discovery, tailored demos, proofs of concept, security/architecture reviews, and procurement support. You’ll work across the entire platform, advising prospects and demonstrating technical value.

You report to Wayne Grigsby, Sales Engineering Lead, and collaborate closely with account executives to drive enterprise deals from the first technical call to signature.

What You'll Do:

• Own the technical side of enterprise deals, from discovery to close, advising prospects and presenting the value of Prefect’s platforms.
• Distill complex use cases by understanding prospects’ data platforms, tools, teams, and budgets, then mapping Prefect’s solutions to their needs.
• Sell across the platform, covering Prefect, Dagster, FastMCP, hybrid architectures, and AI governance in a single conversation.
• Turn field insights into product direction, acting as a market pulse for the company by sharing customer feedback with GTM-engineering teams.
• Build demo environments, architecture diagrams, and competitive materials, contributing to internal repos and occasionally writing blog posts.
• Champion culture and projects, ensuring transparency and helping resolve issues early.

Your Qualifications:

Must-haves:

1. 3+ years of engineering experience, including data engineering, DevOps, software engineering, or data science, with a focus on building and shipping solutions in Python.
2. 2+ years in a customer-facing role, with strong discovery skills to uncover real problems before proposing solutions.
3. Curiosity and creativity—take apart systems to understand them, then innovate with new use cases, demos, or workarounds.
4. Ability to explain technical concepts clearly to engineers, ensuring trust and alignment post-call.

Nice-to-haves:

• 2+ years of prior sales engineering experience.
• 2+ years of enterprise infrastructure depth, including expertise in Azure, AWS, or GCP, Kubernetes, networking, IAM, service mesh, and production databases like Postgres.
• Experience with orchestration tools such as Prefect, Dagster, Airflow, Temporal, or Step Functions.
• Fascination with AI and MCP (Multi-Agent Collaboration Platforms), including LLM applications.