Forward Deployed Engineer, Applied AI

As the first Forward Deployed Engineer in the Applied AI team, you will embed with one function at a time to map current work, design agentic workflows on Snowplow’s factory framework, and hand these capabilities off to the function. You will lead discovery, build the automation patterns, and ensure robust handoffs and continuous improvement. Your work enables AI-native transformation across major business functions, turning manual processes into scalable, auditable automations. This role blends hands-on engineering with process discovery to deliver repeatable, reference implementations for future engagements.

• Meaningful equity stake
• Competitive base salary
• Flexible working
• Generous PTO
• Private medical insurance
• Company pension

• Map how current work actually runs with the function’s leadership and team
• Decide if and how workflows should move to agents, presenting evidence-based cases
• Design and build agentic workflows on the shared factory framework
• Define approval gates and what gets recorded for traceability
• Ensure agent readiness by codifying knowledge, systems of record, and quality thresholds
• Address post-prototype reliability, edge cases, evaluation, and transition to the function
• Handoff delivery: train the function to run and evolve the workflow, then transition to embedded engineers
• Document the workflow pattern for reuse in future engagements and feed improvements into the shared framework

• Shipped real software in someone else’s stack
• Comfort with unfamiliar codebases, datasets, or business systems
• Fluent in Python, TypeScript, or Go; willingness to learn more languages as needed
• Experience designing agents or agentic workflows with prompts, tools, evaluation, and failure modes
• Proven track record in forward deployed, solutions engineering, internal tools, or consulting engineering
• Ability to work with non-engineers and understand their work through active listening
• Self-directed, comfortable with ambiguity and changing priorities
• Strong communication with senior stakeholders and clear rationale for architectural choices

• Active listening
• Self-direction
• Low ego
• Python
• TypeScript
• Go