- Company Name
- Support Revolution
- Job Title
- Senior AI Product Manager - Key Components
- Job Description
-
Job Title
Senior AI Product Manager
Role Summary
Owns product vision, strategy, roadmap, and execution for AI‑driven software solutions that serve developers, data scientists, and enterprise users across web, mobile, API, and edge platforms. Drives cross‑platform integration on cloud (AWS, Azure, GCP), on‑prem, and edge deployments while ensuring AI capabilities are secure, compliant, and user‑centric.
Expectations
- Define, communicate, and pursue a clear AI product vision and strategy.
- Translate market insights, competitive analysis, and emerging technologies into actionable roadmaps.
- Deliver high‑quality AI products that meet performance, reliability, and ethical standards.
- Foster collaboration across engineering, data science, UX, research, and marketing.
- Own metrics, data‑driven decision making, and continuous improvement of product value and user satisfaction.
Key Responsibilities
- Lead product strategy and roadmap definition for AI products across all supported platforms.
- Ensure seamless AI capability integration on AWS, Azure, GCP, on‑prem, and edge environments.
- Partner with UX and engineering to design intuitive AI experiences and developer tools.
- Collaborate with ML engineers and data scientists to productize models (LLMs, CV, NLP, predictive analytics).
- Manage stakeholder relationships – internal teams, external partners, and customers – to align product goals.
- Conduct market and competitive analysis; monitor AI trends and emerging tech.
- Define success metrics, analyze product performance, and guide iterative enhancements.
- Oversee responsible AI practices, ensuring data privacy, fairness, transparency, and compliance.
Required Skills
- 8+ years product management experience, 3+ years in AI/ML product domains.
- Deep understanding of AI/ML concepts: LLMs, NLP, generative AI, MLOps, CV, predictive analytics.
- Familiarity with Python, TensorFlow, PyTorch, or equivalent frameworks.
- Experience with cloud services (AWS, Azure, GCP) and container orchestration (Docker, Kubernetes).
- Proven ability to translate complex technical concepts into business value.
- Strong analytical, strategic thinking, and data‑driven decision making.
- Excellent communication, leadership, and stakeholder‑management skills.
Required Education & Certifications
- Bachelor’s or Master’s degree in Computer Science, Engineering, AI/ML, or related field.
- MBA or comparable business qualification is a plus.