Product Manager – AI-Powered SaaS Solutions

Encora; México; A distancia; MXN 1,297,000 - 1,854,000; Jornada completa

Descripción de la vacante

A leading technology partner is seeking an experienced Product Manager for AI-Powered SaaS Solutions. This full-time remote role involves leading the delivery of AI capabilities, bridging product strategy with execution, and collaborating with diverse teams. The ideal candidate will have a strong background in managing AI-driven initiatives and a data-driven mindset to enhance user experience. Encora promotes a diverse and inclusive work environment.

Formación

• 7+ years of experience in Product Management, Technical Program Management, or AI/ML Product Delivery.
• Proven experience managing AI/ML-driven product initiatives within SaaS environments.
• Strong understanding of agile methodologies and end-to-end product lifecycle management.

Responsabilidades

• Drive the execution and delivery of AI-powered features across multiple SaaS products.
• Translate business and product requirements into actionable technical stories.
• Collaborate with cross-functional teams to embed AI and automation into products.

Conocimientos

AI/ML Product Management

Agile Execution and Delivery

Stakeholder Collaboration

Data-Driven Decision Making

Backlog Prioritization

Continuous Improvement

Herramientas

TensorFlow

PyTorch

Azure ML

AWS Sagemaker

Jira

Confluence

SQL

Snowflake

Databricks

AWS

Azure

GCP

Descripción del empleo

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 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.

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.