Demo Engineer
Description
Beam is building the operating layer for an AI-native future. Our platform helps teams from fast moving startups to Fortune 500s, automate entire workflows using self-learning agents that adapt in real time. By removing the drag of manual, repetitive work, we free people to focus on what actually needs human thinking. We’re reimagining how operations scale, with clarity, speed, and intelligence at the core.
About the Team
The GTM team at Beam turns AI into impact for customers. We sit at the intersection of product, sales, and solutions, showing prospects what’s possible by turning messy business workflows into crisp, production-feeling demos and fast POCs. Our work accelerates deals, sharpens customer understanding, and makes Beam’s value tangible. Demo Engineers are both builders and translators, able to wire agents to live systems, package reusable assets, and enable GTM teammates to sell Beam with confidence.
About the Role
As a Demo Engineer (GTM), your mission is simple: turn real customer workflows into credible, clickable Beam demos that win deals. You’ll design and ship demos that feel like production systems, wire agents into SaaS and legacy tools, and create fast POCs that prove measurable impact. Beyond building, you’ll package reusable assets, train GTM teams to self-serve, and experiment with the future of dynamic demo generation. If you like making AI real for customers and doing it fast, this role is for you.
Responsibilities
Build production-feel demos in Beam Studio: design graphs, configure tools (MCP, APIs), add human-in-the-loop steps, and build evaluation dashboards.
Hide complexity unless needed: use grouping, visual cues, and inline explanations to keep demos clear and impactful.
Integrate across SaaS and legacy systems: connect via Make, n8n, Zapier, webhooks, OAuth, and MCP servers; stub missing integrations with synthetic datasets.
Translate business → agent flows: turn discovery notes into agent steps, inputs/outputs, and success metrics (accuracy, cycle time, cost-to-serve).
Package and scale assets: ship reusable vertical templates, libraries, Looms, and one-pagers; maintain a searchable demo registry.
Run light POCs: define success criteria, anonymize data, instrument evaluations, and report progress with real metrics.
Train & scale GTM capability: run workshops and hackathons to make GTM “Beam Native”; ensure ≥80% of demos can be run self-serve.
Experiment with dynamic demo generation: maintain anonymized vertical datasets and explore prompt-driven demo spin-up during calls.
Requirements
We’re looking for a hands-on builder with enough experience to work independently but still hungry to grow. You’ve spent time building and shipping technical solutions, maybe in Sales Engineering, Solutions, RevOps, or automation, and you’re comfortable wiring tools together, designing agent flows, and packaging value stories for customers.
Core skills:
No/low-code automation chops (Make, n8n, Zapier, webhooks, OAuth, JSON/REST).
Agent & LLM pragmatism (tool vs. model calls, retries, thresholds, designing evals that matter).
Light coding / “vibe coding” (build small UI tweaks in Cursor/Replit).
Business sense: frame 10-minute value stories with before/after metrics across workflows (KYC, onboarding, collections, CPQ).
Demo taste: tidy fixtures, mock data that feels real, simple UI mockups in Cursor/Figma.
Independence: able to own and ship without Solutions or Engineering support.
Nice to Have:
Background in Sales Engineering, Solutions, or RevOps automation.
Experience with SaaS tools like Salesforce, ServiceNow, Workday, Greenhouse, Airtable, Google Workspace, or MCP registries.
SQL familiarity and comfort with data anonymization and sandbox hygiene
Exposure to AI/LLM platforms and prompt/tool integrations.
Benefits
At Beam, we’re building an environment where ambitious people can do their best work, with clarity, purpose, and room to grow. We’re thoughtful about what we build, how we work, and who we hire. The problems we’re solving are real. The systems we’re building are complex. And the people here care deeply, about craft, about speed, and about doing work that actually matters. You won’t find rigid hierarchies or endless process here. You’ll find high trust, high standards, and a team driven by curiosity, ownership, and long-term thinking.
Our culture is shaped by our values in action:
AI-native thinking: Every teammate thinks in agentic workflows, uses AI tools daily, and looks for leverage through automation. AI isn’t just what we build, it's how we operate.
Customer obsession: We build with urgency and empathy, speak to customers early and often, and measure success through their outcomes.
Speed as a habit: We ship fast, learn faster, and prioritise unblocking over perfection. We favour small experiments with tight feedback loops.
Leverage-focused execution: We hire high-impact players, invest in the 20% that drives 80% of results, and value candid feedback.
Highly aligned, loosely coupled: We align on outcomes, not tasks. You’ll work independently, but never in isolation.
Data-driven, human-guided: We seek clarity over comfort, speak up early, and use feedback to grow together.
If this sounds like the kind of work you want to do and the kind of team you want to grow with, we’d love to hear from you!
