Technical AI Product Manager

Information Security Responsibilities

• Promote 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. 

What We Do

Bounteous is a digital transformation consultancy that helps enterprise brands turn AI data and technology into measurable business outcomes. We combine engineering experience design cloud and strategy to build intelligent systems that improve customer experiences and modernize operations at scale. From AI-powered innovation to enterprise platform transformation we help leading organizations move faster work smarter and create lasting impact.

Why Work With Us

Bounteous combines strategy experience design engineering data and AI to help leading brands build intelligent systems that are practical scalable and measurable. People join us to work on meaningful transformation initiatives collaborate with smart and supportive teams and help shape what’s next in AI and digital experience.

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