Full-Stack Engineering Manager

📋 Description

• Lead and develop a GTM AI engineering team of 4–7 senior engineers.
• Stay hands-on: architecture, code reviews, and problem solving.
• Own the GTM AI systems roadmap with cross‑functional partners.
• Build AI-first pipelines: LLM orchestration and Salesforce integrations.
• Establish standards for testing, observability, on-call, and docs.
• Foster inclusive, high-trust culture and career growth.

🎯 Requirements

• 8+ years software engineering, with 2+ years in mgmt/tech lead roles.
• Python (async, production) and TypeScript/JS (React/Node).
• Salesforce REST/Bulk/Streaming APIs, SOQL, CPQ, and platform events.
• AWS: Lambda, SQS/SNS/EventBridge, API Gateway, S3, RDS/Aurora.
• LLM-powered systems: OpenAI API, Anthropic, LangChain.
• Lead multi-engineer efforts: design docs, reviews, and engineering standards.

🎁 Benefits

• Flexible remote model with onsite options.
• Professional development stipend.
• Comprehensive health and parental leave.
• Above-market total compensation and equity (eligible).
• Inclusive, high-trust team culture.
• Rewards program and growth opportunities.