At Enable, we are transforming the supply chain with our cutting-edge rebate management software. We see rebates as a strategic advantage, strengthening partnerships, driving smarter decisions, and unlocking significant value across the entire supply chain – from manufacturers to consumers. After securing $276M in Series A-D funding, we are positioned for continued, significant growth. Since the launch of our flagship product in 2016, we have been rapidly scaling our client base, product offerings, and built a team of top-tier talent committed to reshaping the industry. Want a glimpse into life at Enable? Visit our Life at Enable page to learn how you can be part of our journey. Job Summary We are seeking a Tech Lead Platform Engineer – AI & MLOps to drive the evolution of Enable’s cloud-native platform, ensuring scalability, reliability, and efficiency across all aspects of our SaaS infrastructure. This role will focus on architecting and optimizing our platform for high-performance distributed systems while also enabling machine learning (MLOps) capabilities for AI-driven applications.As a key technical leader, you will collaborate across teams to develop best-in-class platform solutions that support product engineering, data engineering, and AI/ML teams. You will establish best practices, automate workflows, and ensure that Enable’s infrastructure is secure, resilient, and future-proof.
Key Responsibilities - SaaS Platform Engineering:
Design, build, and optimize a cloud-native, multi-tenant SaaS platform that scales with Enable’s rapid growth.
Develop and maintain core infrastructure components, including compute, networking, observability, and CI/CD pipelines.
Implement best practices for cloud cost optimization, security, and system reliability.
Enhance API gateways, identity management, and service orchestration for seamless integration across services.
Key Responsibilities - MLOps & AI Infrastructure:
Architect and manage scalable AI/ML pipelines for model training, deployment, and monitoring.
Develop and maintain MLOps workflows using tools like Kubeflow and MLflow.
Optimize ML model inference for real-time and batch processing in a production SaaS environment.
Collaborate with data scientists and ML engineers to streamline model lifecycle management.
Contributions to open-source DevOps, platform, or MLOps tooling.
Total Rewards: At Enable, we’re committed to helping all Enablees grow. During the interview process, we assess your level based on experience, expertise, and role scope, aligning it with our compensation bands. Starting pay is determined by factors like location, skills, experience, market conditions, and internal parity. Salary/TCC is just one component of Enable’s total rewards package. Enable is committed to investing in the holistic health and wellbeing of all Enablees and their families. Our benefits and perks include, but are not limited to: Paid Time Off: Take the time you need to relax and recharge Wellness Benefit: Quarterly incentive dedicated to improving your health and well-being Comprehensive Insurance: Health and life coverage for you and your family Retirement Plan: Build your future with our retirement savings plan Lucrative Bonus Plan: Enjoy a rewarding bonus structure subject to company or individual performance Equity Program: Benefit from our equity program with additional options tied to tenure and performance Career Growth: Explore new opportunities with our internal mobility program
Additional Perks: Free Food: Complimentary meals, snacks, and drinks on-site in our global offices Training: Access a range of workshops and courses designed to boost your professional growth and take your career to new heights Pets: Bring your pets to our welcoming, pet-friendly offices According to LinkedIn's Gender Insights Report, women apply for 20% fewer jobs than men, despite similar job search behaviors. At Enable, we’re committed to closing this gap by encouraging women and underrepresented groups to apply, even if they don’t meet all qualifications. Enable is an equal opportunity employer, fostering an inclusive, accessible workplace that values diversity. We provide fair, discrimination-free employment, ensuring a harassment-free environment with equitable treatment. We welcome applications from all backgrounds. If you need reasonable adjustments during recruitment or in the role, please let us know.
