This list contains only the countries for which job offers have been published in the selected language (e.g., in the French version, only job offers written in French are displayed, and in the English version, only those in English).
We are seeking an experienced Technical Product Manager – AI/ML to lead the definition, development, and delivery of AI/ML-powered features in our low-code/no-code hyper-automation platform. This role requires deep understanding of predictive AI, NLP, time series analysis, and generative AI capabilities, with a strong ability to translate complex technologies into customer-centric products. The ideal candidate brings a mix of technical expertise, product vision, and market awareness to create differentiated, enterprise-ready AI solutions. A prior background in technical/engineering roles will be critical to bridge the gap between technical feasibility and product strategy.
Job Responsibility:
Define and own the product roadmap for AI/ML features across predictive, NLP, time series, and generative AI domains
Align AI product strategy with overall platform vision, market trends, and customer needs
Identify opportunities for embedding AI capabilities into low-code/no-code workflows
Participate in technical design reviews with engineering and data science teams
Define API contracts, integration patterns, and deployment considerations for AI/ML features
Ensure product features are technically feasible, scalable, and aligned with enterprise architecture principles
Act as a bridge between technical and non-technical stakeholders, ensuring clarity of vision and execution
Collaborate with engineering, data science, and design teams to deliver scalable AI features
Define clear product specifications, use cases, and success metrics
Ensure compliance with security, data governance, and responsible AI principles
Document detailed requirements, epics, and user stories ensuring alignment with product strategy
Define and manage user acceptance criteria (UAC) for each feature
Act as the custodian of product quality, certifying readiness from an end-user perspective before market release
Collaborate with QA and stakeholders to ensure delivered features meet business and customer expectations
Requirements:
15+ years of overall experience
Several years in technical/engineering roles (software development, data engineering, or AI/ML)
7+ years in product management
Strong understanding of Predictive AI/ML (classification, regression, anomaly detection)
Expertise in Natural Language Processing (LLMs, embeddings, conversational AI, text analytics)
Experience with Time Series Modeling (forecasting, demand planning, anomaly detection)
Knowledge of Generative AI (LLM-based copilots, text-to-X products, prompt engineering, RAG pipelines)
Hands-on familiarity with Python/Java, ML frameworks (TensorFlow, PyTorch), and cloud services (AWS, Azure, GCP)
Proven track record in building enterprise SaaS products and leading technical product discussions
Excellent communication and stakeholder management skills
Nice to have:
Strong technical background (B.Tech/M.Tech/MS in Computer Science, Data Engineering, or related Field)
Knowledge of enterprise non-functional requirements (scalability, security, observability, governance)
Familiarity with BPMN, RPA, or workflow orchestration tools
Exposure to responsible AI practices (bias, fairness, model monitoring)
What we offer:
Opportunity to shape the strategy of a next-gen hyper-automation platform
Work with a cross-disciplinary team in a fast-growing, innovation-driven environment
Competitive compensation and growth opportunities
A culture of innovation, ownership, and continuous learning
Welcome to CrawlJobs.com – Your Global Job Discovery Platform
At CrawlJobs.com, we simplify finding your next career opportunity by bringing job listings directly to you from all corners of the web. Using cutting-edge AI and web-crawling technologies, we gather and curate job offers from various sources across the globe, ensuring you have access to the most up-to-date job listings in one place.
We use cookies to enhance your experience, analyze traffic, and serve personalized content. By clicking “Accept”, you agree to the use of cookies.