Who we are
We're Redis. We built the product that runs the fast apps our world runs on. (If you checked the weather, used your credit card, or looked at your flight status online today, you’re welcome.) At Redis, you’ll work with the fastest, simplest technology in the business—whether you’re building it, telling its story, or selling it to our 10,000+ worldwide customers. We’re creating a faster world with simpler experiences. You in?
Why would you love this job?
As an AI Product Manager focusing on Inference Caching & Routing, you will play an integral role in driving the lifecycle of Redis’ AI capabilities, part of the world's number one real-time database platform. You will be at the forefront of innovation, helping to shape the future of AI applications by optimizing performance and reducing costs for customers in Generative AI through advanced caching and routing products.
What you’ll do:
- Define Product Vision and Strategy: Develop and communicate a clear product vision and strategy for inference caching and routing, aligning with Redis’ overall AI strategy.
- Collaborate with Stakeholders: Work closely with architects, engineers, and other internal and external stakeholders to define and write detailed product requirements.
- Manage Product Lifecycle: Maintain a backlog of features, manage priorities, and ensure execution to specifications—and on time in light of Redis strategy.
- Customer Interaction: Engage with customers and partners to understand their needs and gather feedback to inform product development.
- Go-to-Market Strategy: Collaborate on go-to-market strategies to ensure successful product launches and adoption.
What will you need to have?
- Experience: 5+ years of experience in software product management or equivalent experience in an enterprise organization.
- AI Domain Knowledge: Deep understanding of AI/ML concepts, including experience with machine learning tools such as LLMs, Generative AI frameworks like LangChain and vector databases
- Communication Skills: Excellent communication skills to articulate product vision and requirements to diverse teams.
- Analytical Skills: Strong analytical and problem-solving skills to make data-driven decisions.
- Education: Bachelor’s or Master’s Degree in Computer Science or a related field.
Extra great if you have:
- Experience with Redis: Hands-on experience with Redis and its ecosystem.
- Open-Source Community: Active participation in the AI open-source community.
- Cloud-Native Applications: Experience architecting cloud-native applications.
We give back to our employees:
Our culture is what makes Redis a fun and rewarding place to work. To support you at work and beyond, we offer all our US team members fantastic benefits and perks:
- Competitive salaries and equity grants
- Unlimited time off to promote a healthy work-life balance
- Health, Dental, and Vision coverage along with 401K, FSA, and commuter benefits
#LI-Remote #LI-CA2
As a global company, we value a culture of curiosity, diversity of thought, and innovation from our employees, customers, and partners. Redis is committed to a diverse and inclusive work environment where all employees’ differences are celebrated and supported, and everyone feels safe to bring their authentic selves to work. Redis is dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national orientation, sexual orientation, age, marital status, disability, gender identity, gender expression, Veteran status, or any other classification protected by federal, state, or local law. We strive to create a workplace where every voice is heard, and every idea is respected.
Redis is committed to working with and providing access and reasonable accommodation to applicants with mental and/or physical disabilities. If you think you may require accommodations for any part of the recruitment process, please send a request to [email protected]. All requests for accommodations are treated discreetly and confidentially, as practical and permitted by law.
Redis reserves the right to retain data longer than stated in the privacy policy in order to evaluate candidates.
