Job
Description
Role Overview: We seek a visionary Product Lead to drive our data sciences and AI/ML product portfolio. This role combines deep technical expertise with strategic product leadership to deliver exceptional client value while maintaining innovation leadership in the Business Intelligence market. You'll define product strategy, lead cross-functional teams, and scale technical products from conception to market success. Key Responsibilities: Strategic Product Leadership: Define comprehensive product strategy for AI/ML -powered solutions Establish roadmaps aligned with market opportunities and client needs Drive product vision and competitive positioning in BI and data analytics Lead cross-functional collaboration across Engineering, Data Science, and Go-to-Market teams Technical Product Management: Oversee ML -driven intelligence product development for complex business problems Integrate advanced AI/ML capabilities including LLMs, NLP, and agent frameworks Champion best practices in data management, algorithm development, and model deployment Drive innovation in vector databases, embedding-based retrieval, and advanced analytics Market & Client Focus: Conduct market research and competitive analysis to identify opportunities Translate technical capabilities into compelling value propositions Lead client advisory sessions and refine product-market fit Ensure measurable business impact and ROI across diverse industries Team Leadership: Build and mentor high-performing product and technical teams Foster culture of innovation, technical excellence, and client-centricity Establish frameworks for skill development and knowledge sharing Drive adoption of emerging technologies and methodologies Business Impact: Support P&L responsibility for data sciences product portfolio Define and track key metrics: adoption, retention, revenue impact Lead product launches and market entry strategies Collaborate with Sales and Marketing for successful go-to-market execution Required Qualifications: Technical Expertise: Advanced degree in Data Science, Computer Science, Statistics, or related field 8-12 years’ experience in data sciences, ML, and technical product management Deep expertise in statistical analysis, ML algorithms, and practical applications Proficiency in Python/R, SQL, ML frameworks and libraries Strong understanding of NLP, LLMs, agent frameworks, and modern AI/ML architectures Experience with big data technologies, cloud platforms, and scalable data processing Product Leadership: 5+ years senior product management experience, 3+ years in leadership roles Proven track record launching and scaling technical B2B products Experience in Business Intelligence, analytics, or data sciences industry Strong background in product strategy, roadmaps, and cross-functional leadership Business & Leadership: Understanding of BI, data analytics, and enterprise software markets Experience with product monetization and revenue optimization Proven ability to work with C-level executives and drive strategic decisions Exceptional communication skills and ability to articulate complex technical concepts Experience in fast-paced, high-growth technology environments Preferred Qualifications: Experience with vector databases, MLOps, and production ML systems Startup or scale-up technology company background Enterprise software sales and customer success experience Track record of successful product exits or organizational scaling Knowledge of data governance, privacy, and compliance requirements What We Offer: Lead product strategy for cutting-edge AI/ML solutions Competitive compensation package including equity options Innovation-driven environment with top-tier technical talent Direct impact on company strategy and growth Access to latest technologies and Opportunity to be a part of core pioneering team About Icogz Technologies: We're at the forefront of AI-driven business intelligence, helping organizations transform data into actionable insights through advanced ML capabilities and intuitive user experiences. Job Types: Full-time, Permanent Application Question(s): How many months of experience do you have in LLM's & Agentic work flows? How many months of experience do you have in Machine Learning? How many months of experience do you have in Deep Learning? How many months of experience do you have in Natural Learning Processing? Work Location: In person
