Product Manager – AI-Powered SaaS Solutions

Join to apply for the Product Manager – AI-Powered SaaS 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 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.

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).

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.

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)

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, 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.

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📌 Product Manager – AI-Powered SaaS Solutions (México)
🏢 Encora
📍 México