Senior Principal Product Manager
Redis
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?
What you’ll do:
- Define product vision/strategy; develop/communicate clear product vision/strategy for Redis’s AI offerings (semantic caching, vector memory, AI infrastructure capabilities), inference caching/routing;
- Align with Redis’ overall AI strategy; use Large Language Models (LLM)/Natural Language Processing (NLP) architecture [Transformer models (GPT-3.5/4/5, Codex, Gemini, Claude Sonnet, Mistral), Context window optimization (8k–32k)];
- Work on custom model development (HumanEval, MBPP benchmarks); preprocessing (tokenization, deduplication, syntax validation);
- Work with model deployment/GPU Infrastructure: Azure ML deployment pipelines, model quantization (FP16, INT8);
- Translate market trends, customer requirements, emerging technologies (LLMs, NLP) embeddings into detailed product requirements/development plans;
- Work with architects, engineers, internal/external stakeholders to define/write detailed product requirements;
- Analyze product telemetry/customer usage data to identify optimization opportunities; improve performance; inform data-driven product decisions;
- Evaluate trade-offs between model latency, accuracy, cost across different architectures;
- Design experiments/evaluation pipelines to guide technical decisions; develop proof-of-concept (POC) applications, demos, reference implementations (RAG workflows, LLM chatbots, AI agents) to demonstrate Redis’ AI capabilities;
- Partner with enterprise customers to understand AI workloads; design Redis-based architectures to meet scalability, latency, reliability requirements;
- Lead cross-functional product launches;
- Ensure alignment across engineering, marketing, sales, customer success for successful go-to-market executions;
- Evaluate third-party model deployment; serve solutions to provide recommendations to leverage external platforms versus in-house Redis AI capabilities, balancing performance, cost, control;
- Develop/maintain comprehensive technical documentation, best practices, architecture guides to enable customers/partners to implement/optimize Redis AI solutions; manage product’s lifecycle by maintaining backlog of features;
- Manage priorities;
- Ensure execution to specifications in accordance with Redis’ strategic goals; engage with customers/partners to understand needs;
- Gather feedback to inform product development;
- Define/analyze metrics that inform success of products;
- Track business impact using OKRs/KPIs; ensure compliant telemetry with engineering teams;
- Build/maintain relationships with key stakeholders, partners, potential customers;
- Generate buy-in/drive consensus across organizations;
- Drive decision making through user insights, quantitative analysis, AB testing;
- Stay updated with latest trends/ advancements in AI/ML technologies to integrate relevant innovations into product roadmap;
- collaborate with leadership, engineering, applied science, architecture teams to design foundational components to enable high-performance, low-latency AI applications.
- This is a telecommuting position with remote benefit from various unanticipated locations throughout the U.S.
What will you need to have?
- Master’s degree or foreign equivalent in Information Technology, Information Science, or Business Administration plus 2 years experience.
- Experience to include using LLM/NLP architecture [Transformer models (GPT-3.5/4/5, Codex, Gemini, Claude Sonnet, Mistral), Context window optimization (8k–32k)];
- Custom model development (HumanEval, MBPP benchmarks);
- Preprocessing (tokenization, deduplication, syntax validation)
- Working with model deployment/GPU Infrastructure: Azure ML deployment pipelines, model quantization (FP16, INT8).
- This is a telecommuting position with remote benefit from various unanticipated locations throughout the U.S.
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
- H/D/V coverage along with 401K, FSA, and commuter benefits
- Frequent team celebrations and recreation events
- Home internet & phone stipend
- Learning and development opportunities
- Ability to influence a high-performance company on its way to IPO
The estimated gross base annual salary range for this role is $240,000 – $260,000 per year in New York, California, Washington, Colorado, and Rhode Island. Actual compensation may vary and is dependent on various factors, including a candidate’s work location, qualifications, experience, and competencies. Base annual salary is one component of Redis’ total compensation and competitive benefits package, which may include 401(k), unlimited time off, learning and development opportunities, and comprehensive health and wellness benefits. This role may include discretionary bonuses, stock options, commuter benefits based on location, or a commission plan. Salary history is not used in compensation package decisions. Redis utilizes market pay data to determine compensation, so posted compensation ranges are subject to change as new market data becomes available.