Prefect
Senior Sales Engineer
Vaga remota de Sales Engineering com fit claro de localização do candidato.
Publicada22 de abr. de 2026
Países elegíveis1 país aceito
Sinal de senioridadeSenior
Modelo de trabalhoRemoto
Locais aceitos para candidatos
Estados Unidos
Resumo da vaga
Senior Sales Engineer
Requisitos e responsabilidades
Conteúdo da vaga extraído em seções para revisão mais rápida.
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)
Vagas similares
Mantenha uma lista reserva.
AWS, Kubernetes 13 países aceitos
Senior Backend Engineer (AdTech)Leap ToolsVer vaga AWS, Kubernetes 13 países aceitos
Senior Backend EngineerLeap ToolsVer vaga Python, Snowflake USA
Senior Data EngineerTop Us Wealth Management FirmVer vaga Docker, Python 5 países aceitos
Lead Full Stack EngineerKepler GroupVer vaga Stack
Use estas tags para comparar vagas remotas similares.
Elegibilidade de localização
Candidatos devem aplicar apenas quando o país do perfil estiver listado aqui.
Seu perfilPaís não definidoEntre para comparar seu país com esta vaga.
Fluxo de contratação
O WithMira mostra a vaga e depois envia candidatos para a aplicação da empresa.
1Confira fit da vaga, stack e elegibilidade de localização no WithMira.
2Abra a página de aplicação da empresa pelo link rastreado.
3Salve a vaga ou assine oportunidades similares antes de sair.