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 

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Job Summary:

The Product Manager – AI-Powered SaaS Solutions will lead the delivery and integration of AI and automation capabilities across a suite of SaaS products. This role bridges product strategy with execution—translating business needs into technical requirements and ensuring that AI-driven features deliver measurable value. The ideal candidate will coordinate closely with data science, engineering, and product teams to build scalable, high-impact AI solutions that enhance user experience and business performance.

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Responsibilities and Duties:

• Drive the execution and delivery of AI-powered features, use cases, and platform capabilities across multiple SaaS 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.

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Qualifications and Skills:

• Proven experience managing AI/ML-driven product initiatives within SaaS 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).

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Role-Specific Requirements:

• Experience with machine learning model lifecycle management—from concept to deployment.

• Familiarity with AI integration in enterprise SaaS 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.

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Technologies:

• AI/ML platforms (TensorFlow, PyTorch, Azure ML, AWS Sagemaker, etc.)

• Agile tools (Jira, Confluence, Aha!)

• Data infrastructure (SQL, Snowflake, Databricks, or similar)

• Cloud ecosystems (AWS, Azure, GCP)

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Skillset Competencies:

• AI/ML Product Management

• Agile Execution and Delivery

• Stakeholder Collaboration

• Data-Driven Decision Making

• Backlog Prioritization

• Continuous Improvement

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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, DevSecOps, 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.