Prefect
Senior Sales Engineer
Rol remoto de Sales Engineering con fit claro de ubicación del candidato.
Publicado22 abr 2026
Países elegibles1 país aceptado
Señal de senioritySenior
Modelo de trabajoRemoto
Ubicaciones aceptadas para candidatos
Estados Unidos
Resumen del rol
Senior Sales Engineer
Requisitos y responsabilidades
Contenido del rol extraído en secciones para revisar más rápido.
Expectations (you will):
- Develop a clear, technical understanding of Prefect's platform — including durable execution, AI agent orchestration, MCP, and the broader ecosystem of competing solutions
- Lead complex, multi-stakeholder technical evaluations with senior engineering stakeholders across extended enterprise sales cycles
- Build and support long-lasting, mutually beneficial relationships with enterprise clients
- Present and demonstrate the value of Prefect from a technical perspective to prospective clients
- Help bring in new business to Prefect, achieving monthly revenue goals
- Shape product roadmap by synthesizing patterns across customer engagements into clear, actionable feedback for product and engineering
- Mentor and elevate other members of the GTM team through deal collaboration, technical coaching, and knowledge sharing
- Champion our culture and foster a collaborative work environment
- Embody ownership: contribute and advocate for your ideas, while also preventing projects from failing
What You'll Do:
- Engage directly with customers to design, develop, and deploy solutions using Prefect Cloud
- Build production-grade demos, reference architectures, and proof-of-concept deployments that demonstrate Prefect's value in a prospect's actual environment
- Drive competitive displacement from legacy orchestration tools (Airflow, Dagster, Step Functions, Luigi) by articulating Prefect's technical differentiation
- Develop and deliver technical content — blog posts, webinars, tutorials, and conference talks — that builds Prefect's credibility in the data and AI engineering community
- Help customers design and deploy AI-native workflows — including agent orchestration, MCP tool use, and durable execution patterns for autonomous systems
- Develop repeatable technical sales methodologies — playbooks, competitive battlecards, demo environments — that scale the SE function beyond yourself
Your Qualifications:
- 5+ years of experience as a solutions/sales engineer, with at least 3 years supporting enterprise sales cycles
- Strong Python skills and hands-on experience building and deploying data pipelines, ETL/ELT workflows, or ML infrastructure
- Deep familiarity with at least one major cloud platform (AWS, Azure, or GCP) including compute, storage, networking, and IAM
- Experience with workflow orchestration, job scheduling, or pipeline management tools — whether as a user, builder, or seller
- Working knowledge of containers (Docker, Kubernetes), infrastructure-as-code (Terraform, Pulumi), and CI/CD systems
- Demonstrated ability to lead complex, multi-month technical evaluations with senior engineering stakeholders
- Comfort operating autonomously in a fast-moving, small-team environment where you'll shape the playbook as much as run it
- Genuine curiosity about how customers work and a drive to understand their problems before pitching solutions
Nice to Have:
- Experience migrating organizations off Airflow, Dagster, Step Functions, or similar orchestration tools
- Familiarity with MCP, LLM application frameworks, agent architectures, or durable execution patterns for AI workflows
- Background in data engineering, platform engineering, or DevOps before moving into sales engineering
- Track record of producing technical content (blogs, talks, open-source contributions) that built pipeline or community
- Experience with data warehouses, object storage, and observability tooling (e.g., Snowflake, BigQuery, Databricks, Datadog)
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