As a Senior Solutions Engineer, you'll own the full lifecycle of automation delivery, from discovery through deployment, working directly with enterprise clients to turn complex workflows into scalable, AI powered solutions using Beam's Agent OS.
This is a high context, high ownership role. You'll spend your time in client conversations, prompt engineering, workflow decomposition, integration planning, and close collaboration with product and engineering.
Responsibilities
- Partner with enterprise customers to identify automation opportunities, gather requirements, and translate business problems into agent powered solutions
- Design and build agentic automations using Beam's Agent OS. This includes scoping workflows, engineering prompts, and configuring integrations
- Manage delivery end to end: timelines, client expectations, and stakeholder communication across technical and executive audiences
- Troubleshoot and iterate on live automations by diagnosing issues, refining prompts, and improving performance
- Collaborate with product and engineering to scope features, surface platform gaps, and feed customer insights back into the roadmap
- Act as a strategic advisor to clients on AI adoption, workflow automation best practices, and integration architecture
Qualifications
- 2 3 years in a client facing technical role such as Solutions Engineer, Implementation Consultant, Deployment Engineer, Customer Engineer, or similar
- Strong project management and communication skills. You can run delivery timelines, manage client expectations, and explain technical concepts clearly to both engineers and executives
- Demonstrated prompt engineering expertise. You've systematically written, tested, and optimized prompts in production or near production settings
- Experience automating workflows with AI. You've used AI to automate real business processes, not just experimented in sandboxes
- Solid API knowledge and integration experience. You're comfortable scoping and coordinating API based integrations with external systems
- Analytical, process driven thinking. You can take a messy business workflow, break it into structured components, and design an automation approach
Nice to Have
- AI/ML background or hands on experience applying AI to business workflows
- Experience in a fast paced startup environment