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DevRev is building Computer, an AI teammate that unifies data sources, tools, and workflows into a single AI-ready platform. The company, backed by Khosla Ventures and Mayfield with $150M+ raised, is seeking a Senior Technical Specialist to own enterprise engagements end-to-end at the intersection of solution design and hands-on delivery.
In this hybrid role, you will run technical discovery with customers, design agentic system architectures, build and deploy production agents on the DevRev platform, and measure business impact through real-world outcomes. You will work directly with customer engineering, operations, and executive teams, translating complex workflows into deterministic, reliable AI agents.
Key responsibilities include:
**Discover & Design:** Lead technical discovery to map customer workflows and identify where agentic automation creates measurable economic impact. Build and deliver proofs of concept on live customer data. Translate business problems into agent architectures covering orchestration design, state management, tool decomposition, guardrails, and escalation paths. Shape statements of work and delivery plans with defensible scope and effort estimates.
**Build & Deploy:** Implement production agents on the DevRev platform with agent instructions, deterministic workflows, skills, and integrations with enterprise systems (CRM, ERP, payments, operational APIs). Own reliability by designing evaluation harnesses, debugging agent failures (hallucination, state drift, loops, guardrail leakage), and iterating to production-grade adoption. Drive integration work hands-on with REST APIs, webhooks, auth flows, and data mapping. Instrument and report outcomes including adoption, containment, accuracy, and cost metrics.
**Scale & Enable:** Convert engagement learnings into reusable assets including reference architectures, playbooks, and sandbox environments. Enable partner engineers and integrators to deliver independently through workshops and bootcamps. Feed structured field signal to Product on what breaks, what's missing, and competitive intelligence.
Required qualifications: 8–10 years in customer-facing technical roles (forward-deployed engineering, field engineering, solution delivery, technical specialist) in B2B SaaS or enterprise software. Hands-on production experience building LLM-based systems including agent orchestration, prompt and context engineering, RAG, tool/function calling, and evaluation. Strong engineering fundamentals with proficiency in Python or JavaScript/TypeScript, fluency with REST APIs, webhooks, integration patterns, SQL, and working directly in customer data. Strong discovery and solutioning craft with stakeholder workshops, PoCs, and technical scoping. Executive-grade communication ability. Operates well in ambiguity with bias to ownership.
Strong plus qualifications: Experience with deterministic workflow and state-machine design for AI agents. Production experience in complex enterprise domains (airlines, BFSI, telecom, manufacturing). Familiarity with CRM/CX platforms (Salesforce, Zendesk, ServiceNow), cloud platforms (AWS/Azure/GCP), and modern DevOps tooling. Exposure to AI-assisted development workflows (Cursor, Copilot, Claude Code).
