Role: Senior Technical Product Manager on W2
Role: Dallas, TX, USA Onsite Interview
Must have : Artificial Intelligence (AI), Product Development, SCRUM, SDLC, Strategic Planning
Position Description:
***Only qualified Technical Product Manager candidates located near Dallas, TX, will be considered due to the position requiring an onsite presence. ***
Required Education:
• Background in software engineering or technical degree (Computer Science, Engineering, etc.)
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.
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