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Salary: USD 143,200 - 243,400 / annual
You will own the end-to-end technical relationship with enterprise customers, translating complex business challenges into high-impact AI solutions built on the Moveworks Platform. This is a customer-facing, field-based role where you'll be the primary technical point of contact throughout the full implementation lifecycle, from solution design through launch. You are expected to travel up to 25% of the time and will regularly be in front of customers.
Key Responsibilities:
- Serve as the primary technical owner across 5–8 enterprise customer engagements simultaneously, driving adoption and measurable outcomes across the full Moveworks implementation lifecycle
- Partner with customers to architect and deliver high-impact AI solutions that solve real business challenges, leveraging the Moveworks Platform in innovative ways
- Design and build secure, performant integrations between the Moveworks Platform and customer enterprise systems including ServiceNow, Workday, Okta, Jira, and others
- Serve as a trusted technical advisor, helping customers develop their Agentic AI roadmap and upskilling their teams to operate the platform independently
- Synthesize on-the-ground customer feedback and technical gaps, working directly with Moveworks Engineering and Product teams to influence platform evolution
- Generalize successful customer solutions into reusable templates and share learnings broadly across the team
You are a technical generalist who genuinely enjoys working directly with customers. You thrive at the intersection of engineering, consulting, and customer success—equally energized by solving a complex integration problem and presenting a solution narrative to a customer's executive team. You have strong communication and relationship skills, and you're compelled to develop and deliver compelling solution narratives through high-quality artifacts such as architecture diagrams, solution proposals, and SOWs tailored to both technical and business audiences. You have a strong grasp of API-based systems integration, LLM-based systems design including prompt engineering, context engineering, and data modeling. You are a rapid learner with high technical aptitude, equally curious about what's happening under the hood and why a business process works the way it does. You have strong product taste and are obsessed with delivering exceptional experiences for end users. You lean into ambiguity, navigate legacy systems with patience, and actively seek exposure across engineering, product, and business functions. You have a strong sense of personal accountability to both customers and internal teammates.
REQUIREMENTS:
Required:
- Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving (may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI's potential impact)
- 5+ years of experience in a customer-facing technical role (Solutions Engineer, Customer Success Engineer, Solutions Architect, Implementation Consultant, or Consulting Engineer)
- Demonstrated track record of driving successful technical adoption with mid-to-large enterprise customers
- Experience designing, building, and launching full-stack workflows and automations leveraging REST APIs, iPaaS tools (Workato, Azure Functions, AWS Lambdas, ServiceNow Flow Designer), or scripting languages (Python, JavaScript, Golang)
- Willingness and ability to travel up to 25% of the time
- Ability to operate across multiple business functions and technical domains
Preferred:
- Familiarity with enterprise platforms such as ServiceNow, Jira Service Desk, Zendesk, Workday, or Okta
- Familiarity with Linux and Windows environments and command line
- Current on the latest AI tools, frameworks, and agentic design patterns—and thoughtful about how to apply them to build reliable, scalable solutions
