Lead design and delivery of Ripple's AI platform (GSmart). Own roadmap, enable product teams, operate production AI systems, hire and mentor engineers, contribute to architecture and full-stack code.
At Ripple, we’re building a world where value moves like information does today. It’s big, it’s bold, and we’re already doing it. Through our crypto solutions for financial institutions, businesses, governments and developers, we are improving the global financial system and creating greater economic fairness and opportunity for more people, in more places around the world. And we get to do the best work of our career and grow our skills surrounded by colleagues who have our backs.
If you’re ready to see your impact and unlock incredible career growth opportunities, join us, and build real world value.
Join Ripple Labs Inc. as the Manager, AI Platform Engineering in Chicago, IL, and spearhead our bold venture in AI platform development! This remarkable opportunity enables you to craft the future of our AI platform, GSmart, powering smart features across our enterprise treasury products. You will be involved in greenfield projects, bringing insight and focus to undefined problems. You will also work hand-in-hand with product and solution teams to convert customer challenges into fluid technical solutions.
Responsibilities- Own the AI platform roadmap and delivery end to end
- Ensure platform AI is measurable and dependable
- Work together with product and solution teams to address real customer challenges
- Enable teams to build on the platform and own their deliverables
- Hire, mentor, and grow the platform ai engineering team
- Stay actively involved and contribute to architecture and full-stack production code
- 7+ years of software engineering experience, including full-stack development and AI/ML platform infrastructure
- 2+ years of engineering management experience
- Strong full-stack development skills — front-end through back-end and APIs — with solid cloud infrastructure experience
- Experience operating AI systems in production
- Deep, current command of AI and modern LLM/GenAI infrastructure
Join us and play a role in advancing the future growth of AI platform engineering at Ripple Labs Inc.!
WHO WE ARE:
Do Your Best Work
- The opportunity to build in a fast-paced start-up environment with experienced industry leaders
- A learning environment where you can dive deep into the latest technologies and make an impact. A professional development budget to support other modes of learning.
- Thrive in an environment where no matter what race, ethnicity, gender, origin, or culture they identify with, every employee is a respected, valued, and empowered part of the team.
- In-office collaboration for moments that matter is important to our culture, and we give managers and teams the flexibility to decide which 10+ days a month they come in.
- Bi-weekly all-company meeting - business updates and ask me anything style discussion with our Leadership Team
- We come together for moments that matter which include team offsites, team bonding activities, happy hours and more!
Take Control of Your Finances
- Competitive salary, bonuses, and equity
- Competitive benefits that cover physical and mental healthcare, retirement, family forming, and family support
- Employee giving match
- Mobile phone stipend
Take Care of Yourself
- R&R days so you can rest and recharge
- Generous wellness reimbursement and weekly onsite & virtual programming
- Generous vacation policy - work with your manager to take time off when you need it
- Industry-leading parental leave policies. Family planning benefits.
- Catered lunches, fully-stocked kitchens with premium snacks/beverages, and plenty of fun events
Benefits listed above are for full-time employees.
Ripple is an Equal Opportunity Employer. We’re committed to building a diverse and inclusive team. We do not discriminate against qualified employees or applicants because of race, color, religion, gender identity, sex, sexual identity, pregnancy, national origin, ancestry, citizenship, age, marital status, physical disability, mental disability, medical condition, military status, or any other characteristic protected by local law or ordinance.
Please find our UK/EU Applicant Privacy Notice and our California Applicant Privacy Notice for reference.
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