Key skills
Product ManagementAI productsSystems DesignData PlatformsModern Software ArchitecturesAI/ML systemsLarge Language Models (LLMs)Generative AIRetrieval-Augmented Generation (RAG)Vector DatabasesModel ServingInference ArchitecturesAI SafetyAI GovernanceAI GuardrailsData IntegrationOrchestration PipelinesGCPAWSCloud-native ArchitecturesMLOpsExperimentation FrameworksEvaluation PipelinesAI Observability ToolingGoAIMLLLMRAGPrototyping
About this role
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. They are seeking a Technical AI Product Manager who will define, build, and scale AI-powered products while collaborating with cross-functional teams to drive execution and align stakeholder interests.
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
Requirements:
- 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
- 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