Senior Product Analyst (AI)

TL;DR

Senior Product Analyst (AI): Responsible for the execution of digital & AI product development and transformation projects for leading industry players with an accent on shaping product vision, strategic designs to managing and transforming agile product and leadership teams. Focus on advising senior clients on how to successfully execute their strategic vision with digital means, translating abstract visions into reality and managing client expectations as well as vendor efficiency.

Location: Remote (USA)

Company

hirify.global, AI by McKinsey, works on complex and pressing challenges, bringing together curious, ambitious, and determined leaders who strive to become better every day.

What you will do

• Shape product vision and strategic designs for digital & AI product development.
• Manage and transform agile product and leadership teams.
• Solve challenging business problems for clients using digital means.
• Translate abstract visions into reality while managing client expectations and vendor efficiency.
• Partner effectively with engineering teams to make informed trade-offs across new feature development, architecture, scalability, and performance.
• Apply AI/advanced analytics to improve product discovery, delivery, or operations across the Product Development Lifecycle (PDLC).

Requirements

• Bachelor's degree in computer science, business, or equivalent discipline.
• 2+ years of experience building digital & AI products in a product management role.
• Experience leading products and cross-functional product teams, with experience as both a product practitioner and coach in Product Analyst or adjacent roles.
• Experience with building consumer-quality products, enabling business capability and objectives through technology.
• Proven experience engaging and influencing leaders (e.g., Director, VP, and above) in ambiguous, high-stakes environments.
• Strong data-driven decision-making skills, including helping define success metrics (OKRs/KPIs), running experiments, and using insights to guide product trade-offs.

Nice to have

• Knowledge and understanding of technical engineering best practices (e.g., test-driven development, continuous integration, etc.).
• Strong experience defining KPIs, analytics instrumentation, and experimentation frameworks.

Culture & Benefits

• Continuous learning and apprenticeship culture with structured programs.
• Value ideas and contributions from day one.
• Global community with colleagues across 65+ countries and over 100 different nationalities.
• Comprehensive benefits package to enable holistic well-being.