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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and building agentic workflows, with proficiency in Python, TypeScript, or Go. Capable of mapping business workflows, improving prototypes, and coordinating with engineers to enhance workflow reliability and efficiency.
Highest-signal resume keywords
Workflow MappingPython ProgrammingAgentic Workflow DevelopmentClear CommunicationExperience with AI and Automation
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
PythonTypeScriptGoWorkflow TransformationLLM DevelopmentAutomationSystems EvaluationPrototypingDocumentationQuality Standards
Soft Skills
Self-DirectionComfort with AmbiguityClear Communication
Tools & Technologies
Snowplow FrameworkAI ToolsInternal Tools
Industry Keywords
Solutions EngineeringEnd-to-End Process TransformationConsulting EngineeringBusiness Systems
Tech Stack
Tools & technologiesPythonTypeScriptGo
About the role
Key responsibilities & impact- Map business workflows by documenting inputs, steps, approvals, and quality standards
- Evaluate whether workflows should be moved onto agents, including cases where AI is unnecessary
- Design and build agentic workflows on Snowplow's shared factory framework
- Define approval gates, autonomous actions, human approvals, and audit records
- Make domain knowledge, systems of record, and quality standards explicit for agent use
- Improve prototypes for reliability, edge cases, evaluation, and adoption
- Tune outputs with domain experts and encode their judgment into checks
- Train functions to operate and evolve the workflows, then hand them off
- Coordinate post-handoff improvements with embedded and platform engineers
- Develop and document repeatable workflow transformation patterns and reference implementations
Requirements
What you’ll need- Shipped real software in someone else's stack; comfortable with unfamiliar codebases, datasets, or business systems
- Fluent in at least one of Python, TypeScript, or Go; able to learn the others as needed
- Built LLMs/agents or agentic workflows in production, including prompts, tools, evaluation, and failure modes
- AI-native workflow, automation, or agent built and still used; willingness to demonstrate it during interviews
- Experience understanding undocumented processes by working with non-engineers
- Self-direction and comfort with ambiguity
- Clear communication with senior stakeholders
- Experience in a forward deployed, solutions engineering, internal tools, or consulting engineering role, or end-to-end process transformation experience
- Willingness to use AI during the application process and demonstrate work with AI on a real task
Benefits
Comp & perks- Meaningful equity stake
- Competitive Base Salary
- Flexible working
- Generous PTO
- Medical, Dental & Vision Insurance
- 401k
- MacBook and home office equipment allowance
- Enhanced Family leave