Product Manager – AI-Powered Saa S Solutions Join to apply for the
Product Manager – AI-Powered Saa S Solutions
role at
Encora Inc.
Important Information
Years of Experience: 7+ years in Product Management, Technical Program Management, or AI/ML Product Delivery
Job Mode: Full-time
Work Mode: Remote
Seniority level Mid-Senior level
Employment type Full-time
Job function Product Management
Industries Construction, Software Development, and IT Services and IT Consulting
Responsibilities and Duties
Drive the execution and delivery of AI-powered features, use cases, and platform capabilities across multiple Saa S products.
Translate business and product team requirements into actionable technical stories and sprint deliverables for data science and engineering teams.
Collaborate with cross-functional squads to embed AI and automation into existing product workflows (e.g., recruiting, onboarding, performance, learning, analytics, and public safety).
Define and manage the product backlog for AI feature delivery, balancing immediate priorities with long-term platform scalability.
Develop execution roadmaps, milestones, and release plans for model training, integration, and deployment across multiple product lines.
Track key performance indicators (velocity, cycle time, release quality, adoption metrics) to ensure continuous improvement in delivery efficiency.
Oversee post-deployment validation, ensuring model accuracy, reliability, and user experience alignment.
Qualifications and Skills
Proven experience managing AI/ML-driven product initiatives within Saa S environments.
Strong understanding of agile methodologies and end-to-end product lifecycle management.




Exceptional communication skills with the ability to translate complex technical concepts into business terms.
Data-driven mindset with the ability to define success metrics and measure adoption and performance.
Experience coordinating multidisciplinary teams (engineering, data science, product, and UX).
Role-Specific Requirements
Experience with machine learning model lifecycle management—from concept to deployment.
Familiarity with AI integration in enterprise Saa S systems, including automation, natural language processing (NLP), and predictive analytics.
Understanding of MLOps, model monitoring, and continuous improvement practices.
Ability to balance innovation with scalability and compliance requirements.
Technologies
AI/ML platforms (Tensor Flow, Py Torch, Azure ML, AWS Sagemaker, etc.)
Agile tools (Jira, Confluence, Aha!)
Data infrastructure (SQL, Snowflake, Databricks, or similar)
Cloud ecosystems (AWS, Azure, GCP)
Skillset Competencies
AI/ML Product Management
Agile Execution and Delivery
Stakeholder Collaboration
Data-Driven Decision Making
Backlog Prioritization
Continuous Improvement
About Encora Encora is the preferred digital engineering and modernization partner of some of the world’s leading enterprises and digital native companies. With over 9,000 experts in 47+ offices and innovation labs worldwide, Encora’s technology practices include Product Engineering & Development, Cloud Services, Quality Engineering, Dev Sec Ops, Data & Analytics, Digital Experience, Cybersecurity, and AI & LLM Engineering. At Encora, we hire professionals based solely on their skills and qualifications, and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.

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