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.
We are seeking a Senior Product Manager, AI to build and scale AI-powered products in a complex enterprise environment.
This is a high-impact role for a hands-on builder and operator who thrives in ambiguity, moves quickly, and delivers outcomes, not just roadmaps.
You will take products from zero to one and drive them to meaningful adoption, operating like an internal startup founder at the intersection of product, engineering, and applied AI.
Role Focus
0→1 product development and rapid iteration
Scaling AI products to real adoption and business impact
Operating within complex enterprise systems and constraints
Bridging product, engineering, and applied AI
Information Security ResponsibilitiesPromote and enforce awareness of key information security practices, including acceptable use of information assets, malware protection, and password security protocolsIdentify, assess, and report security risks, focusing on how these risks impact the confidentiality, integrity, and availability of information assetsUnderstand 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 informationCore Responsibilities
Product Strategy & Ownership
Define and execute a clear, outcome-driven vision for AI-powered capabilities (copilots, recommendations, summarization, search/chat, workflow automation)
Translate business goals into measurable product outcomes and prioritized roadmaps
Identify high-impact use cases through deep customer and stakeholder discovery
AI Product Development
Translate complex AI/ML capabilities into simple, intuitive, and trustworthy user experiences
Partner with engineering and data science to design and deliver solutions leveraging LLMs, RAG, and agentic architectures
Define AI system behavior, including inputs/outputs, confidence handling, fallback logic, and UX for uncertainty
Execution & Delivery
Drive end-to-end execution with strong ownership and urgency
Make high-quality product and technical tradeoffs (MVP vs scale, speed vs quality)
Manage cross-functional dependencies across engineering, design, data science, and business teams
AI Quality & Evaluation
Own evaluation frameworks (offline and online), including quality metrics, human review, and experimentation
Ensure systems meet standards for accuracy, latency, reliability, and user trust
Continuously improve performance through iteration and data-driven insights
Adoption & Change Management
Own adoption as a primary success metric, not just delivery
Design onboarding, enablement, and feedback loops that drive behavior change
Track and optimize engagement, usage, and business impact metrics
Stakeholder Leadership
Navigate complex enterprise environments with multiple stakeholders, legacy systems, and constraints
Influence without authority across product, engineering, sales, operations, and leadership teams
Communicate clearly with executives, translating technical concepts into business impact
Qualifications
Product & Execution
5–8+ years of product management experience in B2B or enterprise environments
Proven track record of building and scaling products from zero to one
Strong execution mindset with the ability to operate in ambiguity and deliver quickly
AI & Technical Depth
Hands-on experience shipping AI/ML or generative AI features in production
Strong working knowledge of LLMs, RAG systems, and agentic workflows
Experience defining evaluation frameworks, experimentation strategies, and AI performance metrics
Ability to collaborate deeply with engineering and data science on system design and tradeoffs
Adoption & Business Impact
Demonstrated success driving adoption in complex, change-resistant environments (e.g., sales, operations)
Strong analytical skills with the ability to connect product decisions to measurable business outcomes
Deep product instincts, can distinguish high-impact solutions from low-value AI use cases
Leadership & Communication
Excellent communication and storytelling skills across technical and executive audiences
High ownership mentality with a bias for action, resilience, and accountability
Ability to influence and align cross-functional teams without formal authority
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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.
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