Product Manager – AI Hub

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October 7

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Escalent

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Data Analytics • Research • Consulting

Escalent is a top research, data analytics and advisory firm that helps clients understand human and market behaviors to navigate disruption. Our seasoned market research consultants transform complex data into strategic consumer insights to empower businesses with actionable intelligence, utilizing expertise across various sectors to offer tailored solutions in customer experience, market assessment, and strategic growth.

1001 - 5000 employees

📋 Description

• Own the AI/ML product roadmap, ensuring initiatives align with business strategy, technical feasibility, and customer value. • Partner with data science and engineering teams to define, refine, and validate machine learning models, pipelines, and APIs powering our SaaS platforms. • Translate technical AI/ML concepts (e.g., training data, model accuracy, inference latency) into business value and customer-facing outcomes. • Drive use case discovery for AI features by working with internal stakeholders, clients, and end-users to identify high-impact applications. • Define and track AI performance metrics (precision, recall, fairness, latency, adoption) to evaluate and improve model effectiveness in production. • Ensure proper data governance, bias mitigation, and ethical AI practices are applied to features throughout the product lifecycle. • Collaborate with UX/UI teams to design user experiences that clearly communicate AI outputs, confidence levels, and recommendations. • Work with engineering to scale and operationalize AI features, ensuring maintainability, monitoring, and feedback loops. • Partner with marketing, client services, and sales teams to communicate AI value propositions and support client adoption.

🎯 Requirements

• 4+ years of product management experience in SaaS or digital platforms, with at least 2+ years working on AI/ML-powered products. • Strong understanding of machine learning fundamentals, such as supervised vs. unsupervised learning, NLP, model training, validation, and deployment. • Proven ability to collaborate with data scientists, ML engineers, and cloud engineering teams to deliver production-ready AI solutions. • Familiarity with ML tools and frameworks (e.g., Open AI, Perplexity, ChatGPT) and cloud platforms (AWS, Azure). • Experience defining and monitoring AI success metrics, including accuracy, bias/fairness, interpretability, and user adoption. • Strong knowledge of UX for AI products, particularly around explainability and trust-building. • Excellent communication skills, with the ability to bridge technical complexity and business strategy for diverse stakeholders. • Bonus: experience in market research, insights platforms, or data-heavy SaaS products.

🏖️ Benefits

• Access experts across industries for maximum learning opportunities including Weekly Knowledge Sharing Sessions, LinkedIn Learning, and more. • Gain exposure to a rich variety of research techniques from knowledgeable professionals. • Enjoy a remote first/hybrid work environment with a flexible schedule. • Obtain insights into the needs and challenges of your clientsto learn how the worlds leading brands use research. • Experience peace of mind working for a company with a commitment to conducting research ethically. • Build lasting relationships with fun colleagues in a culture that values each person.