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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in platform engineering, particularly in building and managing production-grade systems that support internal teams and customers. Proficient in Python or TypeScript, SQL, and cloud infrastructure, with a strong focus on operational discipline and AI-native workflows.
Highest-signal resume keywords
Production Software ExperiencePlatform EngineeringPython or TypeScript ProficiencyBuilding Production LLM SystemsData Platform Fluency
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
PythonTypeScriptSQLCI/CDCloud InfrastructureProduction LLM SystemsData ContractsPipelinesVersion ControlAlerting
Soft Skills
Collaboration with Non-Engineering TeamsTechnical Direction Setting
Tools & Technologies
SnowflakeMCP ServersGatewaysTracingEvaluation ToolsFactory Framework
Industry Keywords
GTM IntelligenceAI-Native WorkflowOperational DisciplineCost TrackingService Handover
Tech Stack
Tools & technologiesCloudPythonSnowflakeSQLTypeScript
About the role
Key responsibilities & impact- Lead expansion of Firn, Snowplow’s internal data and AI platform
- Design and build the GTM intelligence engine that determines which accounts and people to engage, how to engage them, and learns from outcomes
- Bring existing GTM services onto a shared platform foundation and modernize them
- Build trusted, inspectable agents and tools using the factory framework, holdback gates, review steps, and evaluations
- Own the MCP gateway, LLM gateway, tracing, factory framework, ledger, and broader platform architecture
- Establish production-grade version control, CI, alerting, recovery, cost visibility, documentation, and service handover
- Move business logic from individual tools into versioned platform code
- Build learning loops that record actions, outcomes, and nightly CRM and billing true-ups
- Own evaluation and tracing infrastructure for embedded and forward-deployed engineers
- Set the Applied AI team’s engineering bar and own the platform roadmap
- Report to the Senior Director of Applied AI and work as a peer
- Serve Marketing, Sales, Account Management, and Partnerships as platform customers
- Retain ownership of GTM services after they operate independently and focus on future platform needs
Requirements
What you’ll need- Years of production software experience; this is a principal role
- Experience designing, shipping, and running systems other teams depend on
- Proficiency with Python or TypeScript
- SQL, CI/CD, and cloud infrastructure experience
- Experience building production LLM systems, including agents with tools, MCP servers, gateways, tracing, and evaluation
- Platform engineering experience building systems used by internal teams or customers
- Data platform fluency with Snowflake or an equivalent warehouse, dbt, data contracts, and pipelines between warehouse data and SaaS tools
- Operational discipline with alerting, recovery, runbooks, and cost tracking
- Ability to determine which decisions should be deterministic code, agent-driven, or handled by a person
- Demonstrable AI-native workflow, agent, or tool that the candidate built and still uses
- Ability to work with non-engineering internal customers
- Experience setting technical direction for platforms adopted by other engineers
- Ability to use own AI setup in a working-session interview
- Ability to participate in a design conversation on an existing system
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