Must have Skills:- AI Models Analytics API LLM (Large Language Model) Machine Learning Product Management Telecom
Required Skills Experience & Abilities:
Product Management Excellence:
7 years of product management experience building digital products with at least 3 years in a senior or lead role Proven track record of shipping successful products that delivered measurable customer and business outcomes
Experience owning product strategy end-to-end: from discovery through delivery to measuring impact
Deep understanding of modern product practices including continuous discovery assumption testing and outcome-based road mapping
Portfolio of products where you can demonstrate the progression from customer problem to shipped solution to measured impact AI/ML
Product Experience:
1 years of hands-on experience building and shipping AI/ML-powered products or features
Direct experience working with data science and ML engineering teams to scope develop and deploy machine learning models in production
Understanding of AI/ML product lifecycle:
data requirements model training and evaluation deployment considerations monitoring and continuous improvement
Experience with at least one of the following AI/ML applications: recommendation systems personalization engines natural language processing/LLMs predictive analytics computer vision or conversational AI
Demonstrated ability to translate technical AI/ML capabilities into valuable customer experiences
Experience defining success metrics and quality standards for AI-powered features including both model performance metrics and customer/business outcomes
Continuous Discovery Practices:
Demonstrated experience conducting regular customer interviews and research as part of product development (not delegated to a research team)
Experience using opportunity solution trees customer journey maps or similar frameworks to visualize discovery work
Track record of running assumption tests prototypes and experiments to validate ideas before building
Comfortable working in ambiguity and making decisions with incomplete information then learning quickly through experimentation
Cross-Functional Leadership:
Proven ability to influence and align diverse stakeholders including executives engineering leaders designers and business partners
Experience leading product trios or cross-functional teams where decision-making is collaborative not hierarchical
Strong communication skills:
can articulate strategy rally teams around outcomes and present to senior leadership
Experience managing complex products with multiple dependencies and stakeholders
Strongly Preferred Experience Domain Expertise:
Experience in telecommunications consumer digital services B2C/B2B2C products or enterprise SaaS
Background in products serving millions of users at scale
Experience with personalization recommendation systems or customer engagement platforms
Understanding of digital commerce subscription models or customer lifecycle management
Advanced AI/ML:
Experience with generative AI products or integrating LLMs (GPT Claude Gemini etc.) into customer-facing applications
Familiarity with responsible AI practices: bias detection fairness transparency privacy and ethical AI development
Experience with AI-powered customer service conversational interfaces or intelligent automation
Understanding of data pipelines feature engineering and the infrastructure needed to support ML at scale
Product Leadership:
Experience coaching or mentoring other product managers
Track record of improving product practices or culture within an organization
Experience leading transformation from feature teams to empowered product teams Public speaking writing or thought leadership in product management
Technical Depth:
Ability to read code and engage in technical discussions with engineering teams
Understanding of modern software architectures APIs cloud platforms and data infrastructure
Experience with analytics
Required Education:
Background in software engineering or technical degree (Computer Science Engineering etc.)
Must have Skills:- AI Models Analytics API LLM (Large Language Model) Machine Learning Product Management Telecom Required Skills Experience & Abilities: Product Management Excellence: 7 years of product management experience building digital products with at lea...
Must have Skills:- AI Models Analytics API LLM (Large Language Model) Machine Learning Product Management Telecom
Required Skills Experience & Abilities:
Product Management Excellence:
7 years of product management experience building digital products with at least 3 years in a senior or lead role Proven track record of shipping successful products that delivered measurable customer and business outcomes
Experience owning product strategy end-to-end: from discovery through delivery to measuring impact
Deep understanding of modern product practices including continuous discovery assumption testing and outcome-based road mapping
Portfolio of products where you can demonstrate the progression from customer problem to shipped solution to measured impact AI/ML
Product Experience:
1 years of hands-on experience building and shipping AI/ML-powered products or features
Direct experience working with data science and ML engineering teams to scope develop and deploy machine learning models in production
Understanding of AI/ML product lifecycle:
data requirements model training and evaluation deployment considerations monitoring and continuous improvement
Experience with at least one of the following AI/ML applications: recommendation systems personalization engines natural language processing/LLMs predictive analytics computer vision or conversational AI
Demonstrated ability to translate technical AI/ML capabilities into valuable customer experiences
Experience defining success metrics and quality standards for AI-powered features including both model performance metrics and customer/business outcomes
Continuous Discovery Practices:
Demonstrated experience conducting regular customer interviews and research as part of product development (not delegated to a research team)
Experience using opportunity solution trees customer journey maps or similar frameworks to visualize discovery work
Track record of running assumption tests prototypes and experiments to validate ideas before building
Comfortable working in ambiguity and making decisions with incomplete information then learning quickly through experimentation
Cross-Functional Leadership:
Proven ability to influence and align diverse stakeholders including executives engineering leaders designers and business partners
Experience leading product trios or cross-functional teams where decision-making is collaborative not hierarchical
Strong communication skills:
can articulate strategy rally teams around outcomes and present to senior leadership
Experience managing complex products with multiple dependencies and stakeholders
Strongly Preferred Experience Domain Expertise:
Experience in telecommunications consumer digital services B2C/B2B2C products or enterprise SaaS
Background in products serving millions of users at scale
Experience with personalization recommendation systems or customer engagement platforms
Understanding of digital commerce subscription models or customer lifecycle management
Advanced AI/ML:
Experience with generative AI products or integrating LLMs (GPT Claude Gemini etc.) into customer-facing applications
Familiarity with responsible AI practices: bias detection fairness transparency privacy and ethical AI development
Experience with AI-powered customer service conversational interfaces or intelligent automation
Understanding of data pipelines feature engineering and the infrastructure needed to support ML at scale
Product Leadership:
Experience coaching or mentoring other product managers
Track record of improving product practices or culture within an organization
Experience leading transformation from feature teams to empowered product teams Public speaking writing or thought leadership in product management
Technical Depth:
Ability to read code and engage in technical discussions with engineering teams
Understanding of modern software architectures APIs cloud platforms and data infrastructure
Experience with analytics
Required Education:
Background in software engineering or technical degree (Computer Science Engineering etc.)
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