Principal Product Manager, AI Infrastructure
$250,444.00 to $375,666.00
Apply (opens in a new tab)Principal Product Manager, AI Infrastructure
Posted 45 days ago
SENIORITY
Manager
SALARY
$250,444.00 to $375,666.00
About the role
- We are looking for a customer-obsessed and hands-onexperienced
- Product Manager to lead the strategy, development, and optimization of our AI and agent products.
- In this role, you will own the end-to-end product lifecycle, working cross-functionally with engineering, design, marketing, CRM, and analytics to build AI infra and application products/systems to support both.
- You will play a key role in driving user engagement, retention, and conversion through effective use of push notifications—balancing personalization, timing, frequency, and business impact.
- Drive product roadmap for key components of AI and agent platforms or application products, ensuring alignment with business goals and customer needs
- Partner with science and engineering teams to define and prioritize technical requirements for new AI features and capabilities
- Lead the end-to-end product development lifecycle, from conception through launch, including writing PRDs, technical specifications, and business requirements
- Develop and track success metrics, conduct data analysis to measure product performance and identify areas for improvement
- Collaborate with UX teams to ensure optimal user experience across various Alexa-enabled devices and surfaces
- Build strong partnerships with stakeholders across the company, including Science, Engineering, Design, Business Development, and Legal teams
- Drive technical decisions that balance customer experience, technical feasibility, and business requirements
- Identify and assess new opportunities for applying emerging AI technologies to enhance Alexa's capabilities
- What We Look For In YouBachelor's degree in computer science, electrical engineering, analytics, mathematics, IT or equivalent 5+ years of industry experience with at least 3+ years in technical product management
- Strong technical background and proven track record of delivering complex technical products at scale
- Excellence in written and verbal communication, with the ability to translate technical concepts for various audiences
- Strong analytical and problem-solving skills with data-driven decision making
- Experience working with technical teams and managing complex stakeholder relationships
- Master's degree in computer science, electrical engineering, analytics, mathematics, IT or equivalent
- Experience with conversational AI or voice-based products
- Strong technical understanding of ML/AI concepts, particularly in NLP and LLMsTrack record of innovation and zero-to-one product development
- Experience with Deep Learning model training or inference
- Competitive total compensation packageL&D programs and Education subsidy for employees' growth and development
- Various team building programs and company events
- Wellness and meal allowances
- Comprehensive healthcare schemes for employees and dependants
Before you apply
Applying takes about a minute. These four things decide how fast it moves after that.
Your profile is current
It's what we read first. Occupations, seniority and locations matter more than a long history.
Two examples you can talk through
Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.
A number in mind
What you're on now and what would make you move. We negotiate better when we know both.
Your notice period
Employers plan around it, and it's the question that stalls offers most often.
Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.
