Senior Technical Product Manager

Only Local candidate with Linkedin
NO H1B Please

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

Role: Role:
We're looking for an experienced Lead Product Manager to lead product strategy and discovery for our next-generation digital customer experiences. This isn't a role where you'll manage a backlog of stakeholder requests. This is a role where you'll own outcomes, lead continuous discovery, and build products that customers love while driving measurable business impact.  As a Lead PM, you'll work at the intersection of customer needs, business strategy, and emerging technology—particularly AI/ML—to discover and deliver solutions that transform how millions of customers experience connectivity, personalization, and digital services. You'll operate as part of an empowered product trio (PM, Designer, Engineer) with the autonomy to discover the right solutions and the accountability to deliver meaningful outcomes.

Responsibilities:
Product Strategy & Outcomes:
• Own and drive product strategy for [specific product area], defining clear outcome-based objectives that align with business goals
• Translate business strategy into product strategy, identifying the critical problems we need to solve to achieve our desired outcomes
• Set and manage team OKRs that empower your product trio to discover solutions rather than build prescribed features
• Develop product vision and roadmap that balances short-term impact with long-term strategic positioning
• Identify opportunities where AI/ML can create differentiated customer value and build business leverage Continuous Discovery
• Lead weekly customer interviews and research activities with your product trio to maintain continuous customer contact
• Map and prioritize opportunities using opportunity solution trees, ensuring your team is always working on the highest-impact problems
• Design and run assumption tests and experiments to validate solutions before committing to full development
• Synthesize customer insights, market trends, and data analytics to inform product decisions
• Build rapid prototypes and MVPs to test hypotheses with real customers and iterate based on learning

AI/ML Product Development:
• Identify and prioritize opportunities where generative AI, machine learning, and advanced analytics can solve customer problems or create business value
• Partner with data science and ML engineering teams to scope, design, and ship AI-powered features and experiences
• Define success metrics and measurement frameworks for AI/ML initiatives, including model performance, customer satisfaction, and business impact
• Navigate the unique challenges of AI product development: managing uncertainty, setting appropriate quality bars, handling edge cases, and building responsible AI practices
• Stay current on AI/ML capabilities and trends, translating technical possibilities into customer valuable product opportunities Cross-Functional Leadership
• Build and maintain strong collaborative relationships with engineering, design, data science, marketing, operations, and business stakeholders
• Influence without authority across the organization, using data, customer insights, and strategic thinking to build alignment
• Coach and elevate product thinking across your immediate team and the broader organization
• Navigate organizational complexity to ship products, managing dependencies and aligning diverse stakeholders around shared outcomes
• Present product strategy, discovery learnings, and business results to senior leadership Team Development & Culture
• Champion continuous discovery, experimentation, and customer-centricity across the organization
• Model the behaviors of an empowered product team: showing work, sharing learning, defaulting to action with appropriate risk management
• Contribute to building a product culture that values outcomes over outputs and learning over perfection