Prefect

3 months ago

Senior Sales Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 4 hours agoStatus: Live

Job Summary

Senior Sales Engineer on the Go-to-Market team responsible for owning the technical relationship with our most strategic customers, leading end-to-end evaluations from discovery to production deployment, and partnering with platform engineering, data, and ML teams. You’ll architect solutions across Prefect’s platform for data engineering and AI-native use cases, develop repeatable SE methodologies, mentor the GTM team, and help scale revenue and product feedback.

Location: United States

Workplace: Remote

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Manager level

Key Responsibilities

•Own the technical relationship with strategic customers and prospects, leading complex evaluations end-to-end from discovery through architecture review, POC, and deployment
•Architect solutions across Prefect’s platform for both traditional data engineering and AI-native use cases
•Develop repeatable technical sales methodologies, playbooks, and demo environments that scale the SE function
•Build production-grade demos, reference architectures, and proof-of-concept deployments for customer environments
•Mentor and elevate GTM team members through deal collaboration and technical coaching

Pay and Benefits

Salary: USD 154,000 - 222,000 annually

Equity and Bonus:Equity

Key Requirements

•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

Experience:5+ yearsData engineeringAISaaSDeveloper tools

Skills:CommunicationCollaborationProblem-solvingLeadershipCustomer empathy

Languages:English

Tech Stack:PythonAWSAzureGCPDockerKubernetesTerraformPulumiCI/CDAirflowDagsterSnowflakeBigQueryDatabricksDatadog

Company Brief

Prefect

Open-source workflow orchestration platform that enables data and ML teams to build, schedule, and observe resilient data pipelines and automated workflows across environments.

Industry: Data Infrastructure

Company Size: Medium (51 to 250 employees)

Growth: Growth Stage Startup

Headquarters: Washington, District of Columbia, United States

Founded: 2018

Glassdoor: 3.2

Website LinkedIn Glassdoor

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Prefect

3 months ago

Senior Sales Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 4 hours agoStatus: Live

Job Summary

Location: United States

Workplace: Remote

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Manager level

Key Responsibilities

•Own the technical relationship with strategic customers and prospects, leading complex evaluations end-to-end from discovery through architecture review, POC, and deployment
•Architect solutions across Prefect’s platform for both traditional data engineering and AI-native use cases
•Develop repeatable technical sales methodologies, playbooks, and demo environments that scale the SE function
•Build production-grade demos, reference architectures, and proof-of-concept deployments for customer environments
•Mentor and elevate GTM team members through deal collaboration and technical coaching

Pay and Benefits

Salary: USD 154,000 - 222,000 annually

Equity and Bonus:Equity

Key Requirements

•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

Experience:5+ yearsData engineeringAISaaSDeveloper tools

Skills:CommunicationCollaborationProblem-solvingLeadershipCustomer empathy

Languages:English

Tech Stack:PythonAWSAzureGCPDockerKubernetesTerraformPulumiCI/CDAirflowDagsterSnowflakeBigQueryDatabricksDatadog

Company Brief

Prefect

Open-source workflow orchestration platform that enables data and ML teams to build, schedule, and observe resilient data pipelines and automated workflows across environments.

Industry: Data Infrastructure

Company Size: Medium (51 to 250 employees)

Growth: Growth Stage Startup

Headquarters: Washington, District of Columbia, United States

Founded: 2018

Glassdoor: 3.2

Website LinkedIn Glassdoor