Technical AI Product Manager
Bounteous is a premier end-to-end digital transformation consultancy dedicated to partnering with ambitious brands to create digital solutions for today’s complex challenges and tomorrow’s opportunities. With uncompromising standards for technical and domain expertise, we deliver innovative and strategic solutions in Strategy, Analytics, Digital Engineering, Cloud, Data & AI, Experience Design, and Marketing.
Our Co-Innovation methodology is a unique engagement model designed to align interests and accelerate value creation. Our clients worldwide benefit from the skills and expertise of over 4,000+ expert team members across the Americas, APAC, and EMEA. By partnering with leading technology providers, we craft transformative digital experiences that enhance customer engagement and drive business success.
Technical AI Product Manager
Location Preferences – DFW, NJ, ATL
We are seeking a Technical AI Product Manager who combines strong product management fundamentals with technical fluency in AI systems. This role requires the ability to work closely with business, engineering, data science, and platform teams to define, build, and scale AI-powered products.
The ideal candidate can translate business problems into technical solutions, drive execution across cross-functional teams, and demonstrate strong systems thinking across modern AI architectures and workflows.
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Information Security ResponsibilitiesPromote and enforce awareness of key information security practices, including acceptable use of information assets, malware protection, and password security protocols
Identify, assess, and report security risks, focusing on how these risks impact the confidentiality, integrity, and availability of information assets
Understand and evaluate how data is stored, processed, or transmitted, ensuring compliance with data privacy and protection standards (GDPR, CCPA, etc.)
Ensure data protection measures are integrated throughout the information lifecycle to safeguard sensitive information
Key Responsibilities
Define product vision, roadmap, and execution strategy for AI-driven products and platforms.
Partner with engineering, AI, data, and infrastructure teams to deliver scalable AI solutions.
Drive product discovery, requirements definition, prioritization, and go-to-market planning.
Collaborate on capabilities including model serving, orchestration, data pipelines, and evaluation.
Collaborate to define scalable architectures for AI apps~ RAG, Data integrations, and AI guardrails.
Translate customer and business needs into features and measurable outcomes.
Monitor product performance, adoption, reliability, and operational metrics.
Drive stakeholder alignment across business, engineering, security, compliance, and operations.
Required Qualifications
10+ years of Product Management experience, including experience working on AI products.
Strong technical understanding of systems design and thinking, data, platforms and modern software architectures.
Strong experience driving product launch strategy, GTM planning, and user adoption initiatives
Experience working with AI/ML systems, including concepts such as:
LLMs and Generative AI
Retrieval-Augmented Generation (RAG)
Vector Databases
Model serving and inference architectures
AI safety, governance, and guardrails
Data integration and orchestration pipelines
Ability to communicate effectively with both technical and non-technical stakeholders including Sr/Directors and VPs.
Strong analytical, problem-solving, and prioritization skills.
Preferred Qualifications
Experience with rapid AI prototyping, vibe coding workflows, and building evaluation or testing harnesses for LLM-based applications
Familiarity with GCP/AWS/cloud-native architectures and MLOps practices.
Experience working with experimentation frameworks, evaluation pipelines, or AI observability tooling.
Background working in highly cross-functional product and engineering environments.
Success Criteria
Outcome/KPI-driven product management mindset with experience driving feature prioritization, adoption, and measurable business impact.
Strong product rigor with the ability to drive adoption and ROI through deep user understanding, cohort analysis, customer research, and industry/best-practice insights.
Excellent storytelling, communication, and narrative-building skills with the ability to articulate product vision, influence stakeholders, and galvanize cross-functional teams.
Strong orchestration and accountability management capabilities across client stakeholders, product, engineering, and business teams to drive alignment and execution.
\n$130,000 - $140,000 a year
\nWe invite you to stay connected with us by subscribing to our monthly job openings alert here.
Bounteous is proud to be an equal opportunity employer. Bounteous does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, physical or mental disability, national origin, veteran status, or any other status protected under federal, state, or local law. Bounteous is willing to sponsor eligible candidates for employment visas.
Apply To This Job
Our Co-Innovation methodology is a unique engagement model designed to align interests and accelerate value creation. Our clients worldwide benefit from the skills and expertise of over 4,000+ expert team members across the Americas, APAC, and EMEA. By partnering with leading technology providers, we craft transformative digital experiences that enhance customer engagement and drive business success.
Technical AI Product Manager
Location Preferences – DFW, NJ, ATL
We are seeking a Technical AI Product Manager who combines strong product management fundamentals with technical fluency in AI systems. This role requires the ability to work closely with business, engineering, data science, and platform teams to define, build, and scale AI-powered products.
The ideal candidate can translate business problems into technical solutions, drive execution across cross-functional teams, and demonstrate strong systems thinking across modern AI architectures and workflows.
\n
Information Security ResponsibilitiesPromote and enforce awareness of key information security practices, including acceptable use of information assets, malware protection, and password security protocols
Identify, assess, and report security risks, focusing on how these risks impact the confidentiality, integrity, and availability of information assets
Understand and evaluate how data is stored, processed, or transmitted, ensuring compliance with data privacy and protection standards (GDPR, CCPA, etc.)
Ensure data protection measures are integrated throughout the information lifecycle to safeguard sensitive information
Key Responsibilities
Define product vision, roadmap, and execution strategy for AI-driven products and platforms.
Partner with engineering, AI, data, and infrastructure teams to deliver scalable AI solutions.
Drive product discovery, requirements definition, prioritization, and go-to-market planning.
Collaborate on capabilities including model serving, orchestration, data pipelines, and evaluation.
Collaborate to define scalable architectures for AI apps~ RAG, Data integrations, and AI guardrails.
Translate customer and business needs into features and measurable outcomes.
Monitor product performance, adoption, reliability, and operational metrics.
Drive stakeholder alignment across business, engineering, security, compliance, and operations.
Required Qualifications
10+ years of Product Management experience, including experience working on AI products.
Strong technical understanding of systems design and thinking, data, platforms and modern software architectures.
Strong experience driving product launch strategy, GTM planning, and user adoption initiatives
Experience working with AI/ML systems, including concepts such as:
LLMs and Generative AI
Retrieval-Augmented Generation (RAG)
Vector Databases
Model serving and inference architectures
AI safety, governance, and guardrails
Data integration and orchestration pipelines
Ability to communicate effectively with both technical and non-technical stakeholders including Sr/Directors and VPs.
Strong analytical, problem-solving, and prioritization skills.
Preferred Qualifications
Experience with rapid AI prototyping, vibe coding workflows, and building evaluation or testing harnesses for LLM-based applications
Familiarity with GCP/AWS/cloud-native architectures and MLOps practices.
Experience working with experimentation frameworks, evaluation pipelines, or AI observability tooling.
Background working in highly cross-functional product and engineering environments.
Success Criteria
Outcome/KPI-driven product management mindset with experience driving feature prioritization, adoption, and measurable business impact.
Strong product rigor with the ability to drive adoption and ROI through deep user understanding, cohort analysis, customer research, and industry/best-practice insights.
Excellent storytelling, communication, and narrative-building skills with the ability to articulate product vision, influence stakeholders, and galvanize cross-functional teams.
Strong orchestration and accountability management capabilities across client stakeholders, product, engineering, and business teams to drive alignment and execution.
\n$130,000 - $140,000 a year
\nWe invite you to stay connected with us by subscribing to our monthly job openings alert here.
Bounteous is proud to be an equal opportunity employer. Bounteous does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, physical or mental disability, national origin, veteran status, or any other status protected under federal, state, or local law. Bounteous is willing to sponsor eligible candidates for employment visas.
Apply To This Job