Senior Manager, Engineering - AI & Automation

Smartsheet Smartsheet · Seattle · United States · Engineering - Developers

Senior Manager, Engineering - AI & Automation at Smartsheet. Leads a team building AI-powered capabilities, agents, and automation solutions for internal employees using LLMs (Claude, AWS Bedrock). Focuses on shipping features rapidly, improving employee efficiency, and developing internal AI infrastructure like RAG and enterprise search, while also owning AI governance.

What you'd actually do

  1. Lead and grow a team of 4-8 automation engineers across US and offshore locations, responsible for designing, building, and operating automation solutions across Finance, Sales/GTM, People & Culture, and shared corporate workflows.
  2. Serve as a hands-on technical contributor (player/coach) — prototyping AI agents, reviewing architecture, and shipping features alongside your team, particularly in early-stage capabilities where speed matters more than delegation.
  3. Ship incremental AI-powered features on a regular cadence using Claude, AWS Bedrock, and our internal platform. Your team's primary output is employee-facing AI capabilities - agents that can read, write, and act across enterprise systems through natural language.
  4. Partner with Product Management to prioritize the automation roadmap, balancing quick wins that demonstrate value with foundational platform investments. You own delivery; the PM owns prioritization.
  5. Design and operate LLM-powered automation pipelines - intelligent search, retrieval-augmented generation, and decision workflows that allow employees to programmatically interact with system data through natural language.

Skills

Required

  • 10+ years experience in software, automation, or systems engineering roles
  • 4+ years management or technical leadership experience with player/coach characteristics
  • Hands-on experience building with LLMs - whether that's agentic workflows, retrieval pipelines, prompt engineering at scale, or enterprise AI features. You've shipped something real, not just experimented.
  • Integration development skills using iPaaS or custom code connecting enterprise systems via APIs
  • Experience building or operating enterprise automations against systems such as Workday, NetSuite, Salesforce
  • Experience with AWS or another cloud environment for automation workloads (Bedrock, SNS, SQS, Lambda, Step Functions, EventBridge)
  • Experience partnering with Product Managers or equivalent business prioritization models
  • Experience supporting data programs, data governance and tooling to support data initiatives
  • Experience implementing or consuming LLM-based workflows, retrieval pipelines, or enterprise search
  • Experience defining execution rituals, backlog management, outcome-based tracking without PM intermediaries
  • Experience building and mentoring engineering talent
  • A degree in Computer Science, Engineering, or a related field or equivalent practical experience
  • Legally eligible to work in the U.S. on an ongoing basis

Nice to have

  • Experience defining AI governance frameworks, citizen developer programs, or internal platform standards

What the JD emphasized

  • shipping AI-powered capabilities
  • player/coach
  • shipping features
  • speed matters
  • AI-powered features
  • agents
  • read, write, and act
  • intelligent search
  • retrieval-augmented generation
  • natural language
  • AI governance
  • build with AI safely

Other signals

  • shipping AI-powered capabilities
  • agentic AI
  • LLMs
  • internal tools
  • employee efficiency