Senior Manager, Engineering - AI & Automation
New
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SmartsheetWork Management Software
Anywhere in the US where Smartsheet is a registered employerFull-TimeManager
Salary205000 - 257500 USD per year
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Job Details
- Experience
- 10+ years experience in software, automation, or systems engineering roles; 4+ years management or technical leadership experience
- Required Skills
- AWSSalesforceCI/CDRESTful APIsNetSuiteWorkdayAWS LambdaPrompt Engineering
Requirements
- 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 (agentic workflows, retrieval pipelines, prompt engineering, enterprise AI features)
- 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
Responsibilities
- Lead and grow a team of 4-8 automation engineers across US and offshore locations
- Serve as a hands-on technical contributor (player/coach) – prototyping AI agents, reviewing architecture, and shipping features alongside your team
- Ship incremental AI-powered features on a regular cadence using Claude, AWS Bedrock, and our internal platform
- Partner with Product Management to prioritize the automation roadmap
- Design and operate LLM-powered automation pipelines
- Partner with Data Engineering, Architecture, and platform teams to design and evolve our internal knowledge graph, RAG infrastructure, and enterprise search capabilities
- Own the internal AI governance model for corporate systems, including the citizen developer framework
- Drive operational excellence across the automation portfolio: sprint execution, CI/CD practices, reliability, SLAs, and data-driven engineering metrics
- Stay at the frontier of AI/automation technologies and bring that perspective into how we work
- Contribute to multi-year strategies for automation and AI governance, lifecycle management, platform consolidation, and deprecation of legacy technologies
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