Product Profitability & FinOps Specialist

Overview

Jobs To Be Done

• Build and fine-tune pricing and tariff models that reflect market realities and business goals.
• Support the product teams when they need defining a financial report for their products: be the financial whizz of our Energy tools.
• Master our cloud and AI service spending, hunting down savings by right-sizing resources, eliminating waste, and optimizing usage.
• + Implement and enforce smart cloud governance, including a rock-solid tagging strategy, so every dollar of cloud spend has an owner.
• + Dig into total costs—including cloud infrastructure—to find savings and margin wins, then partner with the team to make it happen.
• Track and map every dollar flowing in and out of our product portfolio for full transparency.
• + Work hand-in-hand with Product Managers and Engineers to weigh the financial impact of new features, pricing moves, and architectural choices.
• + Help Operations decode cost drivers and resource use for maximum efficiency.
• + Own financial KPIs and deep-dive P&L reviews for both individual products and our full lineup.
• Create killer dashboards using Power BI and other tools to spotlight financial health, cloud consumption, and growth areas.

Education Requirements

• Bachelor’s Degree in Computer Science, Information Systems, Engineering, Business Administration, or a related field.
• Certifications in Project Management (e.g., PMP, Prince2, Scrum Master) are highly valued.
• Bonus points for certifications or coursework in Data Engineering, Cloud Architecture, or Database Management.

Experience

• 5+ years of experience in technical delivery, SaaS implementation, solutions architecture, or technical account management.
• Proven track record of successfully onboarding B2B enterprise customers with heavy data integration requirements.
• Hands-on experience navigating data ingestion pipelines, APIs, ETL processes, and complex data mapping/ontology mapping.
• Experience working alongside sales or business development teams in a fast-paced, high-growth tech environment.

Skills And Competencies

• Delivery Management: Exceptional project management skills with the ability to herd cats, manage scope creep, and keep complex deployments strictly on schedule.
• Technical Fluency: Deep understanding of how data flows between systems. You don't need to write the code, but you must confidently discuss APIs, data ingestion, and ontology mapping with engineers.
• Product Mastery: Rapid ability to deeply understand our entire product portfolio and how different modules interact with customer data.
• Client Management: Excellent executive presence and communication skills. You can translate highly technical data requirements into clear business outcomes for stakeholders.
• Problem Solving: A proactive, "fix-it-first" mentality when dealing with data integration bottlenecks.

Kpis

• Time-to-Value (TTV): Reduction in the average number of days from contract signature to the customer's first successful use of AI insights.
• Onboarding Success Rate: Percentage of customer implementations delivered on time and within scope.
• Data Integration Efficiency: Reduction in manual interventions or rework required during the data mapping and ingestion phases.
• Customer Satisfaction (CSAT): High satisfaction scores specifically tied to the onboarding and delivery experience.
• Playbook Adoption: Successful creation and internal adoption of standardized delivery processes.

Why Us

Información Movilidad