Forward Deployed Engineer

What you'll do Client-facing: 50% working directly with external customers and partners. Internal Building & Product SME: 50% building for internal customers (internal stakeholders) and acting as the go-to product expert. Own the End-to-End Implementation Partner Lifecycle: Take ownership across the full implementation-partner lifecycle — partner onboarding, enablement and certification, co-selling and deal support, implementation delivery, and ongoing partner management — covering all partner-related work across every engagement. Build & Run Partner Enablement: Create partner enablement courses and hands-on training materials, track partner progress and engagement through dashboards, and act on those insights to close gaps and drive certification and readiness. Build & Deploy Solutions: Design, develop, and launch AI agents, skills, integrations, and automations that connect DevRev with customers' existing tech stacks and workflows. Build Vertical Solutions: Design and develop industry-specific, vertical solutions (e.g. pharma, financial services, retail) — packaging DevRev's platform into repeatable, domain-tailored offerings that map to real customer use cases. Co-Build Vertical Solutions with Partner PMs & Product Leaders: Work with implementation partners' Product Managers and Product leaders to shape, scope, and co-build vertical solutions — aligning on use cases and priorities and jointly deciding what gets built. Scale Horizontally Across Partner Implementations: Support multiple partner implementations in parallel — reusing frameworks, playbooks, and solutions to drive delivery across many engagements at once rather than one at a time. Be the Face of DevRev: Represent DevRev as the technical face in partner calls — and sometimes directly in customer calls — building trust, guiding decisions, and owning the technical relationship. Unblock Everything: Solve both technical and non-technical blockers across partner implementations, keeping delivery moving and stepping in wherever a project is stuck. Integrate Systems: Connect DevRev with SaaS and non-SaaS platforms through APIs, webhooks, and real-time communication architectures for seamless one-way and two-way data flow. Build for Internal Stakeholders: Design and ship internal tools, agents, and automations that make DevRev's own field, delivery, and go-to-market teams faster and more effective. Product SME: Serve as the subject-matter expert on the DevRev platform — the go-to person internal teams and partners rely on for deep product, integration, and agent guidance. Close the Product Feedback Loop: Turn field learnings into structured product input — filing issues and enhancements, and partnering with Product and Engineering to shape the roadmap and unblock delivery. Optimize AI Performance: Apply prompt engineering, fine-tune semantic search engines, and leverage generative AI techniques to enhance agent accuracy and user experience. Scope & Estimate: Run requirements gap analysis, solution design, and effort estimation so partner and delivery teams start with a clear, grounded plan. Own Data Insights: Write SQL queries, perform data analysis, and build dashboards to surface insights that drive customer and delivery decision-making. Prototype & Iterate: Develop rapid proofs-of-concept, conduct live technical demos, and refine solutions based on customer and stakeholder feedback. Manage Stakeholders & Cross-functional Alignment: Manage expectations across partner, customer, and internal stakeholders, and keep tight communication loops with engineering, product, customer success, support, and revenue teams to ensure alignment. Guide Technical Adoption: Learn and master new tools, then guide partners through critical workflows like code repository integrations and advanced configurations. What you'll bring Experience: 5+ years in software development, systems integration, or platform engineering. Customer-facing experience is a plus. Background: Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field. Coding Skills: Strong proficiency in TypeScript/JavaScript, Python, data structures and algorithms. (Nice to have: Go) Applied AI Knowledge: Familiarity with large language models (LLMs), prompt engineering, frameworks like RAG and function calling, and building evals to validate agentic AI solutions. Integration Expertise: Deep experience with large-scale data synchronization (one-way and two-way), API integration patterns (REST, GraphQL, webhooks), and event-driven/pub/sub architectures. Cloud & Deployment: Hands-on experience deploying on serverless and edge platforms (AWS Lambda, Google Cloud Functions) with modern DevOps practices (CI/CD, containers, observability). Data Transformation: Skilled in data mapping, schema alignment, and working with heterogeneous systems. Understanding of data modeling and graph data structures. Observability: Experience implementing clear logging, actionable error surfacing, and telemetry to support faster debugging and issue resolution. Context-Aware Systems: Familiarity with Model Context Protocol (MCP) for building adaptive, context-aware integrations. End-to-End Partner Ownership: Ability to own the implementation-partner lifecycle end to end — from onboarding and enablement through co-selling, delivery, and ongoing partner management. Partner Enablement: Ability to build enablement courses and hands-on training, and use dashboards to track progress and drive partner readiness. Vertical & Domain Awareness: Ability to learn a customer's industry quickly and translate domain requirements into product and solution design. Stakeholder Management & Communication: Skilled at managing expectations and building trust across partner, customer, and internal stakeholders, and articulating technical concepts clearly to engineers, product teams, and business stakeholders. Ownership & Presence: Able to be the trusted technical face in partner and customer calls and scal