Forward Deployed Engineer (Customer)

DevRev•Austin, TX

10d

About The Position

At DevRev, we're building the future of work with Computer – your AI teammate. Unlike traditional tools, Computer unifies all your data sources, tools, and workflows into a single AI-ready platform, giving employees real-time insights, proactive suggestions, and powerful agentic actions. It extends your existing software with AI-native apps and agents that work alongside your teams and customers – updating workflows, coordinating across teams, and eliminating repetitive work. We call this Team Intelligence: human-AI collaboration that breaks down silos, brings people back together, and frees you to solve bigger problems. Backed by Khosla Ventures and Mayfield with $150M+ raised, DevRev is trusted by global companies across industries. As a Forward Deployed Engineer (Customer) , you will serve as the lead technical strategist embedded with our customers. You'll own the end-to-end design of AI-driven business transformation projects from understanding domain-specific needs to architecting scalable agent-based solutions using DevRev’s platform. This role requires a unique blend of enterprise architecture, AI solutioning, customer empathy, and cross-functional collaboration. You’ll act as the connective tissue between pre-sales, customer success, engineering, and product teams bringing our AI capabilities to life for real-world impact.

Requirements

Experience : 7+ years in solution architecture or consulting roles, focused on enterprise-scale, customer-facing software implementations.
AI & Cloud : Hands-on experience with generative AI tools, cloud platforms (AWS, GCP, or Azure), and modern integration patterns (APIs, webhooks, pipelines).
Business Acumen : Strong understanding of customer priorities, with the ability to translate business needs into technical execution plans.
Design Thinking : A problem-solver with a growth mindset, skilled in crafting scalable and future-proof architectures.
Communication : Exceptional ability to convey complex technical and business concepts to diverse stakeholders, both technical and non-technical.
Project Leadership : Proficiency with project planning tools and methodologies; capable of managing multiple solution tracks and timelines.
Metrics Focus : Proven ability to define and track success through OKRs, KPIs, and tangible business outcomes.
SaaS & Platform Fluency : Background in SaaS or enterprise platforms, with understanding of extensibility and multi-tenant design principles.
Education : Bachelor's degree in Computer Science, Engineering, or related discipline.

Nice To Haves

Advanced degrees or certifications in AI/architecture frameworks (e.g., TOGAF, SAFe) are a plus.

Responsibilities

Own Customer Context : Deeply understand customer business domains, systems, and OKRs/KPIs to guide solution design.
Architect AI Transformation : Design and document AI-driven workflows, agents, skills, and system integrations that align with customer goals and industry best practices.
Be a Trusted Advisor : Build strong partnerships with customer stakeholders as their technical counterpart, delivering confidence in our platform’s capabilities.
Translate & Coordinate : Bridge the gap between pre-sales/CS and engineering, ensuring requirements are actionable and outcomes measurable.
Design Reusability : Architect modular, scalable solutions that can be extended across customers and verticals.
Drive Delivery : Collaborate with Applied AI engineers to oversee solution implementation, ensuring architectural alignment and execution excellence.
Support Pre-Sales : Partner with sales engineers and customer teams to scope new opportunities, define technical requirements, and provide input on feasibility and effort.
Lead Innovation : Stay ahead of emerging trends in AI, software integration, and business transformation—and bring that insight to our solution designs.
Maintain Quality & Compliance : Ensure all solutions meet performance, security, and compliance standards.
Travel Ready : Willingness to travel up to 50% for on-site discovery, deployment, and customer engagement.