Product Manager – AI-Powered SaaS Solutions
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Job Location:
Mexico City - Mexico
Monthly Salary:
Not Disclosed
Posted on:
30 days ago
Vacancies:
1 Vacancy
Job Summary
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
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 executiontranslating 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.
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 managementfrom 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 worlds leading enterprises and digital native companies. With over 9000 experts in 47 offices and innovation labs worldwide Encoras 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.
Required Experience:
IC
Key Skills
- Organizational Management
- Presentation Skills
- Agile
- SAFe
- AWS
- Solution Architecture
- Conflict Management
- Data Management
- Scrum
- Team Management
- Pre-sales
- Management Consulting
About Company
As Encora Inc. expands its footprint in Latin America, its acquisition of Nearsoft provides our clients with a unique chance to Nearshore on a global scale.
