Join us as a Product Director, Solutions Engineering, where you’ll drive the adoption of Fusion. You’ll collaborate with clients and technologists to shape impactful AI solutions that advance commercial goals. This is your opportunity to lead a small, highly technical team, influence platform strategy, and work side by side with experts across the business. We value innovation, collaboration, and a passion for delivering AI at scale. If you thrive in a dynamic environment and want to make a real impact, we want to hear from you.
As a Product Director, Solutions Engineering in the Fusion Customer Success team in the Chief Data and Analytics Office at JPMorganChase, you will lead a small group of engineers to help clients adopt Fusion end to end. You will work directly with Line of Business technologists to understand their commercial goals and co-design solutions using Fusion components. You will develop, document, and roadshow common solutions (“paved paths”) to accelerate Fusion adoption. This role combines hands-on technical work with people management, offering the chance to shape both team culture and platform strategy.
Job Responsibilities:
1. Lead and mentor a small team of Solutions Engineers
2. Collaborate with clients to understand their commercial AI goals
3. Co-design solutions with client technologists using Fusion platform components
4. Develop, document, and present common solutions to accelerate Fusion adoption
5. Work side by side with Data Scientists and Engineers to deliver AI solutions to production
6. Architect solutions with a focus on scale, reliability, and controls
7. Oversee the work of experienced AI engineers
8. Foster strong collaboration across Fusion product, engineering, and client teams
9. Champion best practices for AI delivery and platform adoption
Required Qualifications, Capabilities, and Skills:
10. Hands-on experience applying cloud-based AI technologies at scale in Finance
11. Proven experience working directly with Data Scientists and Engineers to deliver AI solutions to production
12. Demonstrated ability to architect solutions for scale, reliability, and controls
13. Experience overseeing the work of other experienced AI engineers
14. Excellent collaboration skills across product, engineering, and client teams
15. Hands-on AI experience
16. Significant years of engineering experience
Preferred Qualifications, Capabilities, and Skills:
17. Familiarity with Fusion platform components or similar enterprise AI platforms
18. Ability to drive platform adoption through technical enablement and advocacy
19. Experience with cloud-native architectures and controls in financial services
20. Passion for mentoring and developing engineering talent
21. Track record of delivering innovative AI solutions at scale