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MetropolisMetropolisSeattle, WA

Director, Applied AI

Leads Applied AI team to redesign business processes across finance, ops, revenue, and GTM using AI workflows and LLMs. Requires 7+ years in software/AI/ML leadership, hands-on AI tooling expertise, and cross-functional change management.

225k – 265k
Hybrid7+ YOEEngineering Management

About the role

What you'll do

  • Own the Applied AI roadmap by identifying high-leverage opportunities to rebuild business processes across finance, operations, revenue, and GTM
  • Hire, develop, and lead a team of AI Engineers and Process Analysts while establishing a culture of fast iteration
  • Partner deeply with functional leaders to understand current work flows and design AI-first solutions to eliminate friction
  • Set standards for how the team designs, evaluates, and deploys AI workflows, including prompt systems and LLM integrations
  • Establish metrics for each process transformation and hold the team accountable to time savings, error reduction, and cost impact
  • Serve as the internal authority on applied AI capabilities, tooling trends, and emerging best practices
  • Present strategy, progress, and results to senior leadership and the executive team

What we're looking for

  • 7+ years of experience in software engineering, AI/ML, or technical product leadership
  • At least 2 years leading teams that shipped AI-powered systems in production
  • Maintain deep hands-on familiarity with LLMs, agentic workflows, and AI automation tooling such as OpenAI, LangChain, and vector databases
  • Demonstrate strong engineering skills and the ability to credibly review and guide technical decisions
  • Show a track record of driving organizational change through technology and ensuring tools are adopted for sustained impact
  • Apply experience working across functional boundaries to redesign processes with strong instincts for change management
  • Utilize excellent communication skills to distill complex AI concepts for a non-technical executive audience
  • Maintain a bias toward shipping by moving fast and setting clear expectations for high standards

Our Stack

Languages + Frameworks: TypeScript, React, Scala (principally), Java (limited)

Datastores: MySQL, PostgreSQL, Snowflake

Cloud: AWS

Version control: Git & GitHub

AI Tooling: Copilot on GitHub and Claude Code

Observability: Datadog

Compensation: Anticipated base salary $225,000 - $265,000 USD annually, plus healthcare benefits, 401(k), stock options, bonus plans.

Skills

LLMsOpenAILangChainVector DatabasesTypeScriptReactScalaJavaMySQLPostgresSnowflakeAWSGitGitHubDatadog

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