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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 using Python, TypeScript, or Go, with a strong focus on collaboration with business functions and engineering teams. Proven ability to assess and improve workflows, ensuring quality standards and effective handoffs for ongoing ownership.
Highest-signal resume keywords
Python ProgrammingTypeScript ProgrammingGo ProgrammingAgentic Workflow DevelopmentClear Communication
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Workflow MappingWorkflow DesignQuality Standards DefinitionReliability ImprovementEdge-Case HandlingEvaluation TechniquesPrompt EngineeringAutomationSystems of Record ManagementDocumentation
Soft Skills
Self-DirectionComfort with AmbiguityLow EgoCollaborationStakeholder Communication
Tools & Technologies
Snowplow FrameworkLLMsInternal ToolsSolutions Engineering
Industry Keywords
End-to-End Process TransformationForward Deployed EngineeringConsulting Engineering
Tech Stack
Tools & technologiesPythonTypeScriptGo
About the role
Key responsibilities & impact- Map how business workflows operate, including inputs, handoffs, approvals, and quality standards
- Assess whether workflows should be moved onto agents and present the evidence-based case
- Design and build agentic workflows on Snowplow's shared factory framework
- Define approval gates, autonomous actions, human approvals, and audit records
- Make function knowledge, systems of record, and quality standards explicit for agent use
- Improve prototypes through reliability work, edge-case handling, evaluation, and expert tuning
- Train functions to run and evolve the workflows, then hand them off for ongoing ownership
- Coordinate post-handoff improvements with embedded and platform engineers
- Document the workflow-to-handoff pattern and contribute reference implementations to the shared framework
- Embed with business functions one at a time and collaborate with function leaders, domain experts, the Senior Director of Applied AI, and engineering teams
Requirements
What you’ll need- Comfortable being dropped into an unfamiliar codebase, dataset, or business system and becoming productive quickly
- Fluent in at least one of Python, TypeScript, or Go, with ability to pick up the others as needed
- Experience building agents or agentic workflows with LLMs in production, including prompts, tools, evaluation, and failure modes
- An AI-native workflow, automation, or agent that you built and still use; willingness to demonstrate it during the interview process
- Ability to understand undocumented processes by working directly with non-engineers
- Self-direction and comfort with ambiguity
- Instinct to hand off capabilities so teams can operate them independently
- Low ego and willingness to replace prior work with better approaches
- Clear communication with senior stakeholders
- Experience in a forward deployed, solutions engineering, internal tools, or consulting engineering role, or end-to-end process transformation inside a company
Benefits
Comp & perks- Meaningful equity stake
- Competitive Base Salary
- Flexible working
- Generous PTO
- Private Medical Insurance
- Company Pension
- MacBook and home office equipment allowance
- Enhanced Family leave