Lead engineering teams building AI-powered platform products (Navi, Agent Studio) and agent platforms. Drive architecture, productionalize LLM/agent systems, partner with product, establish engineering practices, define metrics, and hire and mentor a global team.
Coupa makes margins multiply through its community-generated AI and industry-leading total spend management platform for businesses large and small. Coupa AI is informed by trillions of dollars of direct and indirect spend data across a global network of 10M+ buyers and suppliers. We empower you with the ability to predict, prescribe, and automate smarter, more profitable business decisions to improve operating margins.
Why join Coupa?
🔹 Pioneering Technology: At Coupa, we're at the forefront of innovation, leveraging the latest technology to empower our customers with greater efficiency and visibility in their spend.
🔹 Collaborative Culture: We value collaboration and teamwork, and our culture is driven by transparency, openness, and a shared commitment to excellence.
🔹 Global Impact: Join a company where your work has a global, measurable impact on our clients, the business, and each other.
Learn more on Life at Coupa blog and hear from our employees about their experiences working at Coupa.
The Impact of a Manager, Software Engineering at Coupa:
- Shape how AI is built and delivered across the company by leading the teams behind Navi, Agent Studio, and other AI Platform Services
- Turn cutting-edge AI capabilities into production-grade products used by customers every day
- Define and scale our agent platform, enabling teams to build, deploy, and operate intelligent workflows
- Drive the evolution from experimentation to reliable, enterprise-ready AI systems
- Build and grow a high-performing engineering team at the forefront of applied AI
What You'll Do:
- Lead the development of AI-powered products and platforms (Navi, Agent Studio, AI Platform services)
- Act as a hands-on technical leader, guiding architecture, design, and key engineering decisions
- Drive the transition from AI experimentation to production-grade, reliable systems
- Partner with product to turn ambiguous AI use cases into scalable solutions
- Build and grow a high-performing, globally distributed team (US & India)
- Balance speed of innovation with long-term system quality and maintainability
- Establish strong engineering practices across design, testing, and delivery
- Define and track metrics for delivery, system performance, and quality
- Hire, mentor, and develop engineers and future leaders
What You Will Bring to Coupa:
- 10+ years building distributed systems, with 5+ years in engineering leadership
- Strong experience on Agentic AI.
- Should have strong application engineering in enterprise SAAS.
- Strong technical depth with the ability to guide architecture and challenge decisions
- Experience building platforms or scalable backend systems (AI/LLM experience is a plus)
- Ability to operate in fast-moving, ambiguous environments and bring structure
- Proven track record of hiring and developing strong engineering teams
- Strong communication skills and ability to connect engineering work to business impact
Coupa complies with relevant laws and regulations regarding equal opportunity and offers a welcoming and inclusive work environment. Decisions related to hiring, compensation, training, or evaluating performance are made fairly, and we provide equal employment opportunities to all qualified candidates and employees.
Please be advised that inquiries or resumes from recruiters will not be accepted.
By submitting your application, you acknowledge that you have read Coupa’s Privacy Policy and understand that Coupa receives/collects your application, including your personal data, for the purposes of managing Coupa's ongoing recruitment and placement activities, including for employment purposes in the event of a successful application and for notification of future job opportunities if you did not succeed the first time. You will find more details about how your application is processed, the purposes of processing, and how long we retain your application in our Privacy Policy.
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