Demo Engineer
Beam AI
- Karachi, Sindh
- Permanent
- Full-time
- 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.
- 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.
- 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.
- 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.
- 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.
- Work that matters: You’ll contribute to AI-native systems already powering real-world operations, not just prototypes or experiments.
- 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.
- 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.