Manager, Software Engineering

dbt LabsRemote - US - Remote$180k – $220k+ Equity3d ago

Remote Staff NA Artificial Intelligence Developer Tools Software Engineering Manager Engineering Manager Data Engineer dbt SQL Claude Team Management Coaching

Upload My Resume

Drop here or click to browse · PDF, DOCX, TXT

Apply in One Click

Requirements

Define dbt’s MCP Strategy: Lead the development of dbt MCP tools that allow Claude, Codex, and other LLMs to fetch context, validate SQL, and understand metrics without leaving their development environment.
Define dbt’s MCP Strategy:
dbt MCP tools
Bridge Platform and Product: Partner with product teams to ensure that the AI Platform provides the necessary primitives (memory, tool-calling, and reasoning loops) for dbt’s specific agentic use cases.
Bridge Platform and Product:
Coach engineers in building "Agent-ready" codebases—focusing on deterministic outputs from a non-deterministic world and the nuances of tool-use optimization.
Coach engineers
Drive Technical Excellence: Establish the standards for how agents should interact with dbt Cloud, ensuring security, governance, and auditability are never compromised for autonomy.
Drive Technical Excellence:
3+ years in people management leading high-performing software engineering teams.
3+ years in people management
Experience with Agentic Architectures: You understand the lifecycle of an agentic loop (Plan -> Act -> Observe) and how to build infrastructure that supports it.
Technical Breadth in APIs & Protocols: Deep experience with API design, and ideally, familiarity with emerging standards like MCP (Model Context Protocol) or OpenAI Function Calling.
Technical Breadth in APIs & Protocols:
MCP (Model Context Protocol)
Software Engineering Fundamentals: You have a strong POV on how to maintain dbt’s "Analytics Engineering" rigors (testing, CI/CD) in an AI-driven world.
Software Engineering Fundamentals:
A passion for Developer Tools: You understand the workflow of a data engineer and how tools like Claude Code or Codex are changing that workflow.
A passion for Developer Tools:
Claude Code
Codex
Experience with Orchestration: You’ve built systems that manage state and context for LLMs.
Strategic Collaboration: You can partner with external AI labs and internal teams to ensure dbt is the preferred "data context" layer for all major LLMs.
Strategic Collaboration:
Direct experience building or contributing to MCP servers.
Experience in the "Modern Data Stack": You understand the importance of the dbt Semantic Layer and how it acts as a "source of truth" for AI.
Excellent written communication skills: Essential for a remote-first culture and for documenting the "rules of engagement" for AI agents.

Responsibilities

Build, lead, and coach a team of 5–8 engineers focused on building a robust, scalable platform for AI agents.
Build, lead, and coach
Architect the "Agent-First" Experience: Move dbt beyond a UI-driven tool by building the APIs and services required for agents to reason, plan, and execute within the dbt ecosystem.

Benefits

Salary:We offer competitive compensation packages commensurate with experience, including salary, equity, and where applicable, performance-based pay. Our Talent Acquisition Team can answer questions around dbt Labs' total rewards during your interview process. In select locations (including Boston, Chicago, Denver, Los Angeles, Philadelphia, New York Metro, San Francisco, DC Metro, Seattle, Austin), an alternate range may apply, as specified below.
The typical starting salary range for this role is: $180,000 - $220,000 USD
The typical starting salary range for this role in the select locations listed is: $200,000 - $243,000 US
Equity Stake
Unlimited vacation (and yes we use it!)
401k w/3% guaranteed contribution
Excellent healthcare
Paid Parental Leave
Wellness stipend
Equity or comparable benefits may be offered depending on the legal limitations
Our Hiring Process (All Video Interviews)
Interview with a Talent Acquisition Partner (30 Mins)
Technical Interview with Hiring Manager (60 Mins)
Team Interviews ( 3 rounds, 45 Mins each)
Final Leadership Interview (30 Mins)
If you’re passionate about building well-designed, high-impact software, we’d love to hear from you!