Live opening · Posted 1 day ago

Product Owner - AI

Strategy · Pune/Pimpri-Chinchwad Area (On-site)
Linkedin No
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At a glance

The key details from the original listing.

Posted 1 day ago
CompanyStrategy
LocationPune/Pimpri-Chinchwad Area (On-site)
Work modeNo
SkillsPython, AWS, Azure, GCP, Docker
SourceLinkedin
Listed1 day ago

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About the role

Description supplied by the original job listing.

Company Description
Strategy (Nasdaq: MSTR) is at the forefront of transforming organizations into intelligent enterprises through data-driven innovation. We don't just follow trends—we set them and drive change. As a market leader in enterprise analytics and AI software, we've pioneered the BI and analytics space, empowering people to make better decisions and revolutionizing how businesses operate. We are now also at the forefront of AI disruption, providing data via our enterprise semantic layer to AI agents, tools, and platforms.
But that's not all. Strategy is also leading a groundbreaking shift in digital assets, adopting bitcoin as our primary treasury reserve asset in 2020. Since then, we have issued innovative bitcoin-backed securities and have been the leader in bitcoin treasury companies. This visionary move has helped us build a fortress balance sheet, and is solidifying our position as a forward-thinking, innovative force in the market.
Our people are the core of our success. At Strategy, you'll join a team of smart, creative minds working on dynamic projects with cutting-edge technologies. We thrive on curiosity, innovation, and a relentless pursuit of excellence.
Our corporate values—bold, agile, engaged, impactful, and united—are the foundation of our culture. As we lead the charge into the new era of AI and financial innovation, we foster an environment where every employee's contributions are recognized and valued.
Join us and be part of an organization that lives and breathes innovation every day. At Strategy, you're not just another employee, you're a crucial part of a mission to push the boundaries of analytics and redefine financial investment.
Job Description
Product Owner-AI
Role Overview
We are seeking an experienced and strategic AI Product Owner to lead the development and delivery of AI-powered solutions. This role will own the product vision, roadmap, and execution for AI/LLM-based applications, working closely with engineering, data, and business stakeholders.
The ideal candidate combines strong technical understanding of AI technologies (LLMs, APIs, cloud infrastructure) with product management expertise, stakeholder alignment capabilities, and the ability to translate business needs into scalable AI solutions.
Key Responsibilities
Own the product vision, roadmap, and backlog for AI-driven solutions.
Translate business requirements into clear technical specifications.
Oversee development of AI applications using Python and REST APIs (FastAPI).
Guide implementation of LLM solutions (OpenAI, Azure OpenAI), including vector databases, embeddings, and RAG architectures.
Partner with DevOps to deploy scalable AI applications on AWS, Azure, or GCP using Docker.
Monitor product performance, define success metrics, and drive continuous optimization.
Collaborate with cross-functional stakeholders to ensure alignment and adoption.
Requirements
Bachelor’s/Master’s degree in Computer Science or related field.
5+ years of experience in AI/ML product ownership or technical product management.
Strong understanding of Python-based AI applications, REST APIs, LLM integration, vector databases, and cloud deployment.
Experience working with OpenAI/Azure OpenAI and modern AI architectures.
Proven ability to lead and coordinate small technical teams.
Strong analytical, problem-solving, and stakeholder management skills.
Familiarity with BI tools such as MicroStrategy is a plus
Additional Information
The recruitment process includes online assessments as a first step (English, logic, design) - we send them via e-mail, please check also your SPAM folder.
This position requires applicant to work full time from Strategy Pune office

Work arrangement
No

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