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Product Manager II

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Onsite

Product Manager II

Auxis

Product Manager II

Skills

Product ManagementData AnalysisMachine LearningAINLP / Natural Language ProcessingServiceNowProduct ManagerChange ManagementMarket ResearchAzure

13 days ago

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Important information


Contract type:

Other

Location:

Bogotá, Bogota, Colombia

Work mode:

Onsite

Published on:

14 October 2026

What they need


Job Summary

As a Product Manager II, you will own delivery outcomes for one or more internal products or a defined major capability, working closely with cross-functional partners to translate business needs into well-defined, shippable solutions. You will be accountable for backlog quality, day-to-day prioritization, and ensuring that delivered features achieve their intended business outcomes.

From day one, you will operate with clear ownership over a product backlog and roadmap execution, partnering with design, engineering, and business stakeholders to drive consistent delivery in a complex professional services environment. You will be empowered by our collaborative culture and commitment to excellence to shape the future of our internal products, fostering agility and innovation in a rapidly evolving professional services landscape.

Responsibilities

Key Responsibilities

● Collaborate with partners to create product vision, strategy, and roadmap, translating business priorities into sequenced delivery plans.

● Own and manage the product backlog for a single product or major capability—writing clear user stories and acceptance criteria, and prioritizing features based on business value and resource constraints.

● Apply domain expertise to design and develop highly specialized analytics tools and products for niche business areas.

● Provide subject matter expertise to guide the development of complex, business-specific solutions.

● Lead discovery sessions with stakeholders to understand business needs, requirements, and user pain points.

● Regularly update stakeholders on product progress, risks, and upcoming milestones.

● Support training and enablement efforts to ensure successful product adoption.

● Identify delivery risks and work with partners to define mitigation strategies.

● Facilitate cross-functional collaboration to ensure successful feature delivery.

● Conduct market research and competitive analysis to identify strategic opportunities and inform product decisions.

● Analyze product metrics and user feedback to inform prioritization and continuous improvement.

● Build and maintain relationships with vendors, manage integrations, and provide input on buy-vs-build decisions.

● Monitor emerging technologies to identify applications for business problems.

● Coordinate with external partners for outsourced development initiatives.

● Implement and refine product development methodologies to improve delivery processes.

AI & Data Specialization

This role carries an AI and Data specialization. Depending on assignment, you may also:

● Support delivery of AI-enabled or automation solutions by translating business workflows into clear product requirements.

● Partner with engineering, data, and business stakeholders to define AI use cases, success metrics, and acceptance criteria.

● Assist in evaluating automation opportunities by assessing feasibility, risks, and expected business impact.

● Ensure AI-enabled features align with firm standards, governance, and responsible AI guidelines.

● Monitor performance and adoption of AI-enabled features to inform prioritization and continuous improvement.

● Support delivery of data products or analytics capabilities, including dashboards, reports, or data-driven workflows.

● Demonstrate foundational awareness of machine learning concepts—including LLMs, NLP techniques, and common model types—sufficient to understand how data- and model-driven capabilities support product requirements and user outcomes.

● Collaborate with Data and Engineering partners to deliver data- and model-enabled features, incorporating guidance on model behavior, testing considerations, and quality signals into day-to-day product work.

● Translate business questions into well-defined data product features and user stories.

● Support backlog prioritization for data initiatives based on business value, dependencies, and data readiness.

● Use data and analytics to inform product decisions and measure product outcomes.

Skills and Experience

Qualifications

**●**English B2+/C1

● Bachelor’s degree in a relevant field.

● 5–8 years of experience in product management or a closely related role, preferably in a professional services environment.

● Experience owning delivery for a major capability, including backlog management and day-to-day prioritization.

● Strong understanding of product management frameworks and Agile methodologies.

● Experience gathering business requirements and translating them into clear user stories and acceptance criteria.

● Experience creating and maintaining product roadmaps and sequencing work based on business priorities and constraints.

● Demonstrated ability to analyze product metrics and user feedback to inform prioritization and continuous improvement.

● Ability to work effectively with cross-functional teams (design, engineering, operations, change management).

● Strong communication skills, with the ability to manage stakeholders and drive alignment at the product level.

● Familiarity with common product and delivery tools such as Azure DevOps, ServiceNow, Smartsheet, or similar platforms.

● Strong organizational skills and attention to detail.

● Fluent professional English; able to work effectively across LATAM and US time zones and with US-based stakeholders.

Preferred Experience

● Professional certifications in one or more domains (Tax, Audit, Advisory, Internal Services).

● Prior experience working within professional services or internal enterprise product environments.

● Exposure to vendor-supported or outsourced development models.

● Experience supporting product adoption and change management for internal users.

● Exposure to analytics, automation, AI, or data-driven solutions applied to business problems.

● Experience working across multiple workstreams or stakeholder groups within a single product area.

● Ability to quickly adapt to new technologies and methodologies.

● Willingness to travel as needed.

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