About the company
Smartsheet is a tech company with a human story to tell. We’re here to empower teams to manage projects, automate workflows, and rapidly build new secure solutions, using simple no-code tools. We’re revolutionaries – so for us changing the way the world works is all in a day’s work.
Responsibilities
- Develop, build, test and deploy custom software solutions leveraging a wide array of Smartsheet product & third party APIs
- Design and build AI-powered workflows and automations — leveraging LLMs, AI agents, and Smartsheet’s native AI capabilities — to solve customer problems that traditional configuration can’t
- Leverage AI coding assistants such as Claude Code to accelerate custom development, prototyping, and solution delivery across customer engagements
- Evaluate emerging AI tools and techniques and apply them to accelerate time-to-value for customers
- Lead technical consulting engagements that require custom software development by leading design sessions, defining technical requirements, and validating solution architecture against product best practices
- Design and document technical solutions aligned with client business objectives
- Partner directly with customer teams throughout an engagement, embedding deeply enough in their workflows to translate real-world pain points into working solutions quickly
- Rapidly prototype and iterate on solutions in close collaboration with customers, refining scope and design based on hands-on feedback rather than waiting for formal review cycles
- Own solutions end-to-end — from initial discovery through deployment, adoption, and ongoing refinement in production
- Build reusable components, frameworks, and accelerators that can be extended and redeployed across future customer engagements
- Serve as the Smartsheet subject matter expert (SME) on Smartsheet product capabilities and AI-powered extensibility scenarios that leverage the API
- Manage all aspects of technical projects, including, but not limited to, the schedule, deliverables, deadlines and client relationships
- Drive the technical delivery of custom development, integrations, and data migration elements of a Smartsheet implementation
- Maintain a target billable utilization aligned to the role
- Provide feedback to our Product & Platform Engineering teams that inform product improvements and identify feature gaps
- Other duties as assigned
Requirements
- 3 years relevant work experience or equivalent combination of relevant work experience and education
- Working experience with two or more of our primary languages (.Net, NodeJS, Python, Java, Ruby)
- Full-stack development skills, with the ability to independently design, build, and ship production-quality applications — not just configure existing tools
- Familiarity with AI/LLM technologies and experience integrating them into applications via APIs
- Working knowledge of prompt engineering and AI agent design patterns, with curiosity for applying AI to solve real business problems
- Hands-on experience with AI-assisted development tools such as Claude Code, with comfort integrating them into a daily engineering workflow
- Willing to travel periodically (up to 15%) based on customer and business need
- Strong communication skills (written, verbal, presentation), with the ability to explain technical subjects to non-technical end user personnel in large enterprises
- Proven ability to drive projects from concept through completion with minimal guidance
- Customer facing experience
- Comfort operating with high autonomy in ambiguous, fast-changing environments where requirements evolve in real time
- A strong bias toward ownership — treating customer problems as your own and staying engaged through to a successful outcome
- Experience rapidly prototyping and iterating on solutions based on direct, hands-on customer feedback
- Experience working with SaaS/IPaaS applications in an enterprise environment
- Understanding of systems architecture and ability to design scalable performance-driven solutions
- Understanding of key design patterns and large data volume best practices
- Knowledge of data integration and experience integrating SaaS applications with different business systems