Note: The job is a remote job and is open to candidates in USA. Revenium provides an AI Economic Control System for tracking AI usage, costs, and profitability. The Sales Engineer will own the technical pre-sales motion, lead discovery, demonstrations, workshops, evaluations, and security reviews, while deploying the platform in customer environments and driving technical wins. The role also advises customers on AI economics, pricing, metadata, cost controls, and usage-based monetization.
Responsibilities
- Own the technical win (end-to-end pre-sales). Partner with AEs to qualify fit, shape deals, and run the technical process from discovery → demo → POV/POC → security review → close. Lead sharp discovery across Engineering, Product, Finance/RevOps, and Security. Translate vague pain ("AI spend is spiky") into measurable success criteria — cost per task by customer, margin by product tier, sub-minute budget alerts. Deliver demos, whiteboards, and workshops that land with engineers and executives alike
- Deploy Revenium into real customer environments. Guide the fastest path to value for the customer's stack: wrap AI calls via SDK/middleware or direct API (typically no app code changes); validate that every transaction carries the metadata to attribute cost and outcome by customer, agent, product, and task; connect provider accounts for a ground-truth cost baseline; configure real-time spend limits, alerts, and anomaly detection that block runaways before the bill lands. When relevant, help prospects model usage-based products, pricing tiers, and quotas — then wire up metering and payments
- Be the technical + economic trusted advisor. Help prospects design metadata conventions Finance trusts and Engineering ships. Guide pricing and packaging with practical examples — tiered usage, bundled credits, per-task pricing, internal chargeback. Advise on provider selection, model routing, caching, and agent design through the lens of cost, latency, and margin
- Create repeatable playbooks that scale revenue. Build reusable demo environments, POV templates, and reference architectures. Feed field learnings back to Product/Engineering. Enable GTM with trainings, objection handling, and competitive talk tracks
- You'll work with Sales (deal strategy, close plans), Product + Engineering (roadmap feedback, integration patterns), and Customer Success (clean handoff from technical win to onboarding and expansion)
Skills
- 5+ years in a customer-facing technical role in B2B SaaS (Sales/Solutions Engineer, Solutions Architect, FDE, or similar)
- Hands-on technical depth — you read and write code and guide implementation
- Comfortable with APIs, webhooks, auth, and debugging production-like integrations
- Excellent customer presence — run a room with executives and engineers, explain complex systems simply, and create urgency without pressure
- Commercial & economic acumen — speak credibly about unit economics, margins, cost allocation, and pricing & packaging
- High agency — find the path, build the plan, drive it to done
- Python and/or TypeScript/Node preferred, Go a plus
- AI/LLM stacks (agent frameworks, routing, RAG, observability); usage-based billing / quote-to-cash; FinOps or cloud cost management; high-velocity startup experience
Benefits
- Commission (OTE) with uncapped upside
- Standard benefits
- Early-stage equity
Company Overview