Note: The job is a remote job and is open to candidates in USA. Revenium is focused on building the best teams possible in the AI Economic Control System industry, and they are seeking a Forward Deployed Engineer for their Go-To-Market team. The role involves owning the technical win in pre-sales processes, partnering with Account Executives, and delivering technical solutions to customers while ensuring measurable success criteria are met.
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. Python and/or TypeScript/Node preferred, Go a plus
- 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
- AI/LLM stacks (agent frameworks, routing, RAG, observability); usage-based billing / quote-to-cash; FinOps or cloud cost management; high-velocity startup experience
- Quota-carrying technical sales role with a competitive base salary plus commission (OTE)
- Variable pay is tied to what you most directly influence — technical wins, POC-to-close conversion, and revenue sourced with your AEs — with uncapped upside
- Plus standard benefits and early-stage equity (details shared during the process)
Benefits
- Commission (OTE)
- Variable pay is tied to what you most directly influence — technical wins, POC-to-close conversion, and revenue sourced with your AEs — with uncapped upside.
- Plus standard benefits and early-stage equity (details shared during the process).
Company Overview