Technical AI Product Manager

🕒 May 19

🤠 Texas – Remote

🤠 Texas – Remote

💵 $130k - $140k / year

⏰ Full Time

🟠 Senior

🔴 Lead

✅ Product Manager

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Bounteous

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2003

🏢 Enterprise

☁️ SaaS

🤖 Artificial Intelligence

💰 Private Equity Round on 2021-08

Enterprise • SaaS • Artificial Intelligence

Bounteous is a digital solutions firm known for its co-innovation model, which assists leading brands in navigating digital transformations and enhancing user experiences. The company partners with businesses from various sectors such as financial services, healthcare, telecommunications, retail, and convenience, to deliver data-driven solutions. Bounteous offers expertise in areas including artificial intelligence, data analytics, digital commerce, and cloud enablement, helping its clients harness technology for sustained growth and brand loyalty. With a global presence, Bounteous is dedicated to creating personalized and effective digital strategies that drive business success.

📋 Description

• 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.