Member of Applied AI - Strategist

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. What you'll bring 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. Advanced degrees or certifications in AI/architecture frameworks (e.g., TOGAF, SAFe) are a plus. DevRev is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.