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Salary
≈ $53k – $142k per year (Estimated)
Location
In office (Bogotá)
Seniority
Middle · 5+ years exp

Confirmed on the employer's own hiring board on Oct 19, 2026. First seen by Alion on Oct 15, 2026.

Overview
Company
Impact
Profile match
Auxis is a business transformation and nearshore outsourcing firm based in Fort Lauderdale, Florida, providing finance and accounting outsourcing, IT operations and service desk support, cybersecurity, shared services consulting, automation, cloud and analytics services. Operating since 1997, it delivers work from nearshore centres in Costa Rica and Colombia, including Bogotá and Barranquilla, and has joined forces with Grant Thornton, now operating as a Grant Thornton US company. It hires accounts payable and receivable analysts, staff accountants, service desk analysts, security operations and cybersecurity engineers, data engineers and analysts and project managers.

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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