Customer Deployment Architect

Team: Applied AI Engineering
DevRev’s AgentOS, purpose-built for SaaS companies, comprises three modern CRM apps for
support, product, and growth teams. It connects end users, sellers, support, product people, and
developers, reducing 9 business apps and converging 6 teams onto a common platform.
Unlike horizontal CRMs, DevRev takes a blank canvas approach to collaboration, AI, and
analytics, enabling SaaS companies to increase product velocity and reduce customer churn.
DevRev is used by thousands of companies in search of low latency analytics and customizable
LLMs to thrive in this era of GenAI.
Headquartered in Palo Alto, California, DevRev has offices in seven global locations. We have
raised $100 million in funding from investors like Khosla Ventures and Mayfield at a $1.1 billion
valuation. We are also honored to be named on the Forbes 2024 list of America’s Best Startup
Employers. Founded in October 2020 by Dheeraj Pandey, former co-founder and CEO of
Nutanix, and Manoj Agarwal, former SVP of Engineering at Nutanix, DevRev continues to push
the boundaries of innovation, helping thousands of companies thrive in the rapidly evolving
landscape of AI-driven SaaS.

About the Role: Customer Deployment Architect (Echo)
As a Customer Deployment Architect, 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 AgentOS 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.

What You’ll Do
● 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.

What You Bring
● Experience: 8+ 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.
Advanced degrees or certifications in AI/architecture frameworks (e.g., TOGAF, SAFe)
are a plus.