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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in automation solutions, project management, and client engagement, with a strong focus on prompt engineering and API integrations. Capable of translating complex business needs into effective agent-powered automations while managing stakeholder expectations.
Highest-signal resume keywords
Prompt Engineering ExpertiseAPI Integration CoordinationProject Management SkillsClient-Facing Technical ExperienceAI Workflow Automation
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Prompt EngineeringAPI KnowledgeAutomation DesignWorkflow ScopingIntegration ArchitectureAI ApplicationTechnical Problem SolvingPerformance OptimizationBusiness Process AutomationStakeholder Communication
Soft Skills
Analytical ThinkingProcess-Driven MindsetCommunication SkillsClient ManagementCollaboration
Tools & Technologies
Beam's Agent OS
Industry Keywords
Automation OpportunitiesClient ExpectationsTechnical ConceptsStartup EnvironmentAI/ML Background
About the role
Key responsibilities & impact- Partner with enterprise customers to identify automation opportunities and gather requirements
- Translate business problems into agent-powered solutions
- Design and build agentic automations using Beam's Agent OS
- Scope workflows, engineer prompts, and configure integrations
- Manage automation delivery end-to-end, including timelines, client expectations, and stakeholder communication
- Troubleshoot and iterate on live automations by diagnosing issues, refining prompts, and improving performance
- Collaborate with product and engineering to scope features, identify platform gaps, and provide customer insights for the roadmap
- Advise clients on AI adoption, workflow automation best practices, and integration architecture
- Participate in a case study involving an extraction prompt, project plan, and presentation
Requirements
What you’ll need- 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
- Ability to run delivery timelines, manage client expectations, and explain technical concepts to engineers and executives
- Demonstrated prompt engineering expertise, including systematically writing, testing, and optimizing prompts in production or near-production settings
- Experience automating real business processes with AI
- Solid API knowledge and experience scoping and coordinating API-based integrations with external systems
- Analytical, process-driven thinking and ability to break messy business workflows into structured components
- AI/ML background or hands-on experience applying AI to business workflows (nice to have)
- Experience in a fast-paced startup environment (nice to have)
Benefits
Comp & perks- AI-native thinking and daily use of AI tools
- Customer-focused work with early and frequent customer interaction
- High-trust, high-standards team environment
- Flexible, autonomous work with aligned outcomes
- Professional growth and room to grow
- Candid feedback and data-driven development
- Team culture emphasizing curiosity, ownership, speed, and long-term thinking