Qureos Mentor

Beam AI

<div>
 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. To learn more, visit https://beam.ai/.
 
 
 
 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:
 
 
 
 
 <ul>
 <li>
 Build production-feel demos in Beam Studio: design graphs, configure tools (MCP, APIs), add human-in-the-loop steps, and build evaluation dashboards
 </li>
 <li>
 Hide complexity unless needed: use grouping, visual cues, and inline explanations to keep demos clear and impactful
 </li>
 <li>
 Integrate across SaaS and legacy systems: connect via Make, n8n, Zapier, webhooks, OAuth, and MCP servers; stub missing integrations with synthetic datasets
 </li>
 <li>
 Translate business &rarr; agent flows: turn discovery notes into agent steps, inputs/outputs, and success metrics (accuracy, cycle time, cost-to-serve)
 </li>
 <li>
 Package and scale assets: ship reusable vertical templates, libraries, Looms, and one-pagers; maintain a searchable demo registry
 </li>
 <li>
 Run light POCs: define success criteria, anonymize data, instrument evaluations, and report progress with real metrics
 </li>
 <li>
 Train &amp; scale GTM capability: run workshops and hackathons to make GTM "Beam Native"; ensure &ge;80% of demos can be run self-serve
 </li>
 <li>
 Experiment with dynamic demo generation: maintain anonymized vertical datasets and explore prompt-driven demo spin-up during calls
 
 
 </li>
 </ul>
 
 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
 
 :
 
 
 <ul>
 <li>
 No/low-code automation chops (Make, n8n, Zapier, webhooks, OAuth, JSON/REST)
 </li>
 <li>
 Agent &amp; LLM pragmatism (tool vs. model calls, retries, thresholds, designing evals that matter)
 </li>
 <li>
 Light coding / "vibe coding" (build small UI tweaks in Cursor/Replit)
 </li>
 <li>
 Business sense: frame 10-minute value stories with before/after metrics across workflows (KYC, onboarding, collections, CPQ)
 </li>
 <li>
 Demo taste: tidy fixtures, mock data that feels real, simple UI mockups in Cursor/Figma
 </li>
 <li>
 Independence: able to own and ship without Solutions or Engineering support
 
 
 </li>
 </ul>
 
 Nice to Have
 
 
 
 <ul>
 <li>
 Background in Sales Engineering, Solutions, or RevOps automation
 </li>
 <li>
 Experience with SaaS tools like Salesforce, ServiceNow, Workday, Greenhouse, Airtable, Google Workspace, or MCP registries
 </li>
 <li>
 SQL familiarity and comfort with data anonymization and sandbox hygiene
 </li>
 <li>
 Exposure to AI/LLM platforms and prompt/tool integrations
 
 
 </li>
 </ul>
 
 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.
 
 
 
 What You'll Find Here
 
 
 
 <ul>
 <li>
 Ownership with clarity: You'll drive work from idea to execution in a high-context, high-autonomy environment. We trust people to lead and follow through
 </li>
 <li>
 Growth that compounds: Whether you're deepening your technical expertise, exploring leadership, or learning across disciplines, we support growth paths that aren't one-size-fits-all
 </li>
 <li>
 Work that matters: You'll contribute to AI-native systems already powering real-world operations, not just prototypes or experiments
 </li>
 <li>
 Aligned incentives: We offer competitive compensation and meaningful equity, designed for long-term value creation, not just short-term rewards. When Beam wins, you do too
 </li>
 <li>
 A culture that raises the bar: You'll work with sharp, kind teammates who value directness, curiosity, and momentum. We challenge each other to do better and support each other every step of the way
 
 
 </li>
 </ul>
 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!
</div>

Demo Engineer

<div>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&rsquo;re reimagining how operations scale, with clarity, speed, and intelligence at the core. To learn more, visit https://beam.ai/.<h3 class="jobSectionHeader">
About the Team</h3>
The GTM team at Beam turns AI into impact for customers. We sit at the intersection of product, sales, and solutions, showing prospects what&rsquo;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&rsquo;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.<h3 class="jobSectionHeader">
About the Role</h3>
As a Demo Engineer (GTM), your mission is simple: turn real customer workflows into credible, clickable Beam demos that win deals. You&rsquo;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&rsquo;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.<h3 class="jobSectionHeader">
Responsibilities:</h3><ul>
<li>Build production-feel demos in Beam Studio: design graphs, configure tools (MCP, APIs), add human-in-the-loop steps, and build evaluation dashboards.</li>
<li>Hide complexity unless needed: use grouping, visual cues, and inline explanations to keep demos clear and impactful.</li>
<li>Integrate across SaaS and legacy systems: connect via Make, n8n, Zapier, webhooks, OAuth, and MCP servers; stub missing integrations with synthetic datasets.</li>
<li>Translate business agent flows: turn discovery notes into agent steps, inputs/outputs, and success metrics (accuracy, cycle time, cost-to-serve).</li>
<li>Package and scale assets: ship reusable vertical templates, libraries, Looms, and one-pagers; maintain a searchable demo registry.</li>
<li>Run light POCs: define success criteria, anonymize data, instrument evaluations, and report progress with real metrics.</li>
<li>Train &amp; scale GTM capability: run workshops and hackathons to make GTM &ldquo;Beam Native&rdquo;; ensure 80% of demos can be run self-serve.</li>
<li>Experiment with dynamic demo generation: maintain anonymized vertical datasets and explore prompt-driven demo spin-up during calls.</li>
</ul>Requirements
We&rsquo;re looking for a hands-on builder with enough experience to work independently but still hungry to grow. You&rsquo;ve spent time building and shipping technical solutions, maybe in Sales Engineering, Solutions, RevOps, or automation, and you&rsquo;re comfortable wiring tools together, designing agent flows, and packaging value stories for customers.
Core skills:<ul>
<li>No/low-code automation chops (Make, n8n, Zapier, webhooks, OAuth, JSON/REST).</li>
<li>Agent &amp; LLM pragmatism (tool vs. model calls, retries, thresholds, designing evals that matter).</li>
<li>Light coding / &ldquo;vibe coding&rdquo; (build small UI tweaks in Cursor/Replit).</li>
<li>Business sense: frame 10-minute value stories with before/after metrics across workflows (KYC, onboarding, collections, CPQ).</li>
<li>Demo taste: tidy fixtures, mock data that feels real, simple UI mockups in Cursor/Figma.</li>
<li>Independence: able to own and ship without Solutions or Engineering support.</li>
</ul>Nice to Have<ul>
<li>Background in Sales Engineering, Solutions, or RevOps automation.</li>
<li>Experience with SaaS tools like Salesforce, ServiceNow, Workday, Greenhouse, Airtable, Google Workspace, or MCP registries.</li>
<li>SQL familiarity and comfort with data anonymization and sandbox hygiene</li>
<li>Exposure to AI/LLM platforms and prompt/tool integrations.</li>
</ul>Benefits
At Beam, we&rsquo;re building an environment where ambitious people can do their best work, with clarity, purpose, and room to grow. We&rsquo;re thoughtful about what we build, how we work, and who we hire. The problems we&rsquo;re solving are real. The systems we&rsquo;re building are complex. And the people here care deeply, about craft, about speed, and about doing work that actually matters. You won&rsquo;t find rigid hierarchies or endless process here. You&rsquo;ll find high trust, high standards, and a team driven by curiosity, ownership, and long-term thinking.
What you&rsquo;ll find here<ul>
<li>Ownership with clarity: You&rsquo;ll drive work from idea to execution in a high-context, high-autonomy environment. We trust people to lead and follow through.</li>
<li>Growth that compounds: Whether you're deepening your technical expertise, exploring leadership, or learning across disciplines, we support growth paths that aren&rsquo;t one-size-fits-all.</li>
<li>Work that matters: You&rsquo;ll contribute to AI-native systems already powering real-world operations, not just prototypes or experiments.</li>
<li>Aligned incentives: We offer competitive compensation and meaningful equity, designed for long-term value creation, not just short-term rewards. When Beam wins, you do too.</li>
<li>A culture that raises the bar: You&rsquo;ll work with sharp, kind teammates who value directness, curiosity, and momentum. We challenge each other to do better and support each other every step of the way.</li>
</ul>If this sounds like the kind of work you want to do and the kind of team you want to grow with, we&rsquo;d love to hear from you!</div>

Join Beam AI and explore 2   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

Beam AI

ABOUT_COMPANY

Demo Engineer

Demo Engineer