Job Description
Join InnovateX Labs at the forefront of AI innovation as we redefine technological boundaries in 2026. We're seeking a visionary AI Product Manager to architect and launch cutting-edge solutions that shape tomorrow's digital landscape. In this pivotal role, you'll bridge the gap between complex AI capabilities and market-ready products, driving our mission to democratize artificial intelligence for global enterprises.
Our ideal candidate thrives in ambiguity, possesses deep technical empathy, and excels at translating AI breakthroughs into tangible business value. You'll collaborate with world-class researchers, engineers, and strategists to build products that solve humanity's most pressing challenges while ensuring ethical AI deployment at scale.
Responsibilities
- Define product vision and roadmap for next-gen AI solutions including generative models and autonomous systems
- Conduct market research and user interviews to identify unmet needs in enterprise AI adoption
- Lead cross-functional teams through agile development cycles, ensuring timely delivery of ML-powered features
- Develop GTM strategies for AI product launches including pricing models and go-to-market plans
- Establish KPI frameworks to measure product success and ROI for AI-driven initiatives
- Collaborate with ethics teams to ensure responsible AI deployment and bias mitigation
- Present product vision and progress to executive stakeholders and investor boards
Qualifications
- 5+ years in product management with 3+ years focused on AI/ML products or related technologies
- Proven track record launching successful SaaS products with complex technical components
- Expertise in machine learning frameworks (TensorFlow, PyTorch) and cloud AI platforms (AWS SageMaker, GCP Vertex)
- Strong data analytics skills with ability to interpret complex model outputs and user behavior metrics
- Experience with AI governance frameworks and responsible AI implementation
- Exceptional communication skills for translating technical concepts to non-technical stakeholders
- MBA or advanced degree in Computer Science, Engineering, or related field preferred
- Published research or patents in AI/ML or adjacent fields highly advantageous