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At Infinidat, a Lenovo company, we empower enterprises and service providers with cutting-edge storage platforms that redefine performance, reliability, and cyber resilience at scale. We are looking for an experienced Senior Product Manager to join our Product Management team, focusing on AI workloads and AI operations tools. In this role, you'll drive the AI capabilities customers use to operate enterprise storage and to build AI data services, taking the product from definition through GA and measuring its success.

Responsibilities:

* Drive the AIOps and AI-data-readiness strategy and roadmap, inbound and outbound, informed by where the market and the technology are moving
* Lead discovery with enterprise customers and Fortune 500 accounts, and work with the field and sales teams to turn what you learn into product and feature decisions
* Oversee deployment models considering cost, data governance, privacy, and compliance
* Take the product from PRD to GA with R&D, QA, Support, and Operations. Win the commitment of the executive team, Sales, and Marketing
* Measures for success: adoption, customer impact, and business outcome
* Be the subject-matter expert on AIOps: lead the conversation about this product with customers and internal teams.

Join team to build and extend the AI assistant embedded across our product suite. The platform is a production LLM agent system that's integrated into multiple host applications, backed by a RAG knowledge base and an evaluation-driven development workflow.

You'll work end-to-end: agent design, tool implementation, retrieval quality, integration into existing product UIs, cloud infrastructure, and evaluation/observability. The platform already ships to customers - you'll extend it, raise its quality bar, and help define where it goes next.

What you'll do

Design and evolve agents - build LLM agents with tool use, routing, and human-in-the-loop flows.
Implement tools and integrations - expose product capabilities to the agent, with multi-tenant context, via internal APIs and MCP servers.
Own retrieval quality - contribute to our RAG pipeline end-to-end: ingestion, embeddings, vector search, and reranking.
Define and evolve host integration contracts - collaborate with host application teams to integrate the assistant into product UIs built on different frontend stacks. You own the shared remote module and the integration API; host teams own their stacks.
Drive evaluation-led development - write evaluators (rule-based, LLM-as-judge, multi-turn), maintain CI eval gates, and use traces and feedback to debug production behavior.
Operate the platform - own deployments, observability, and the performance and cost of LLM-backed services.
Establish engineering practices** for AI-specific work: prompt versioning, eval coverage, testing, and code review.

We are looking for a Senior Product Designer who designs products and builds the tools that change how design gets done.

This role has two halves. You will own the design of a core area of the platform, end to end, at the same craft bar as everyone else on the team. Alongside that, you will build the agents, skills and internal tools that reshape how our whole design team works., and prove them on your own product area first.

We think these belong together. Someone rebuilding the workflow should be living inside it every day, so what they build survives contact with real product work. If you have been quietly automating your own design process and wishing it were your actual job, this is that job.

We already have an AI agent in the product. It works, it is early, and it is nowhere near what it should be. How far it goes, and what it grows into, is genuinely open. The designer who understands agents best will have a real voice in answering that.

This is an individual contributor role. You will mentor, and you will change how the team works, but you will not manage people.

Key Responsibilities:

Own a core product area: Take full design ownership of a significant surface, from discovery through shipped experience and beyond launch, working directly with product and engineering.
Build the agentic design toolchain: Create and maintain the skills, agents and commands the design team uses day to day, covering the path from ticket to reviewable prototype.
Prototype in working code: Move from problem statement to a clickable, testable artifact quickly by orchestrating agents to do the building while you review, steer and cut.
Orchestrate agents through a product cycle: Decide what gets delegated, what stays human, and where the human gate sits, then write it down so others can repeat it.
Make new ways of working stick: Run the rituals that turn tools into habits. Prototyping sprints, office hours, pairing, internal demos, and the documentation behind them. Retire what does not earn its place.
Keep us honest about quality: Define how we know an agent output is good, build lightweight checks for what you ship, and tell us plainly when the agentic path is worse than the manual one.

This role operates in an open, collaborative, and innovationdriven environment, leveraging modern client and server-side technologies to deliver scalable and impactful solutions.

This is a hands-on leadership role requiring a balanced allocation of responsibilities, with approximately 50% focused on engineering leadership activities such as technical reviews, planning, stakeholder management, talent development, and delivery oversight, and 50% dedicated to hands-on software engineering, including architecture, coding, design reviews, and technical problem solving.

Job Description
Key Responsibilities:

Design, develop, and deliver scalable microservices from architecture through production deployment.
Lead backend system design and implementation, ensuring robust, secure, and maintainable solutions.
Leverage GitHub Copilot and AI-assisted development tools to accelerate software delivery, improve codequality, and enhance engineering productivity.
Take ownership of development, maintenance, testing strategy, design discussions, and operations of the team, with containerized API services
Participate in all aspects of agile software development including design, implementation, and deployment.
Responsible for the end-to-end lifecycle of new product features/components
Ensuring application performance, uptime, and scale, maintaining high standards of code quality and thoughtful application design
Work with a small, cross-functional team on products and features to drive growth.
Learning new tools, languages, workflows, and philosophies to grow
Research and suggest new technologies for boosting the product.
Have an impact on product development by making important technical decisions, influencing the system architecture, development practices and more.

We are seeking an experienced Senior Developer with deep expertise in Python and AI development to join our team. The ideal candidate will have hands-on experience building AI-powered applications and agentic AI systems that can autonomously perform complex tasks.

Job Description
Design and build autonomous AI agents capable of multi-step reasoning and task execution
Work with LLMs (Large Language Models) and Agentic Frameworks (AutoGen, Microsoft Agent Framework)
Responsible for implementing micro-services from design to production.
Take ownership of development, maintenance, testing strategy, design discussions, and operations of the team, with containerized API services
Participate in all aspects of agile software development including design, implementation, and deployment.
Responsible for the end-to-end lifecycle of new product features / components
Ensuring application performance, uptime, and scale, maintaining high standards of code quality and thoughtful application design
Work with a small, cross-functional team on products and features to drive growth.
Learning new tools, languages, workflows, and philosophies to grow
Research and suggest new technologies for boosting the product.
Have an impact on product development by making important technical decisions, influencing the system architecture, development practices and more.

We are seeking an experienced Senior Developer with deep expertise in Python and AI development to join our team.

The ideal candidate will have hands-on experience building AI-powered applications and agentic AI systems that can autonomously perform complex tasks.

Job Description
Design and build autonomous AI agents capable of multi-step reasoning and task execution
Work with LLMs (Large Language Models) and Agentic Frameworks (AutoGen, Microsoft Agent Framework)
Responsible for implementing micro-services from design to production.
Take ownership of development, maintenance, testing strategy, design discussions, and operations of the team,
with containerized API services
Participate in all aspects of agile software development including design, implementation, and deployment
Responsible for the end-to-end lifecycle of new product features / components
Ensuring application performance, uptime, and scale, maintaining high standards of code quality and thoughtful application design
Work with a small, cross-functional team on products and features to drive growth.
Learning new tools, languages, workflows, and philosophies to grow
Research and suggest new technologies for boosting the product.
Have an impact on product development by making important technical decisions, influencing the system architecture, development practices and more.