Product Manager

• Own the full product lifecycle for the emissions management product line — from market discovery and concept through to launch, iteration and long-term growth.
• Define and communicate a compelling product vision that is grounded in customer needs, regulatory trends (CII, EU ETS, FuelEU Maritime, IMO 2030/2050) and competitive dynamics.
• Establish and maintain the product roadmap, making clear prioritisation decisions that balance customer value, commercial opportunity and technical feasibility.
• Act as the internal authority on emissions management — the go-to expert who shapes how the business thinks about and monetizes this space.
• Serve as the senior stakeholder voice on all matters relating to emissions management solutions, with final say on solution set design and direction.
• Lead alignment across commercial, product and operations — cutting through complexity to keep cross-functional teams moving in the same direction.
• Build trusted relationships with key customers, acting as a strategic advisor who understands their business and helps them achieve measurable outcomes.
• Represent the product externally at industry forums, customer briefings and partner discussions.
• Partner closely with commercial leadership to develop go-to-market strategies, pricing frameworks and value propositions for the emissions management portfolio.
• Identify and pursue revenue expansion opportunities across the group — including upsell, cross-sell and new market entry.
• Contribute to business cases, pipeline development and contract strategy where the product intersects with commercial engagements.
• Lead the design of customer-facing solutions that translate complex emissions data, analytics and compliance workflows into intuitive, high-value products.
• Ensure solutions are built with longevity in mind — avoiding one-off customisations in favour of reusable, platform-ready components.
• Lead cross-functional initiatives from discovery through to execution, coordinating internal teams and external stakeholders to deliver on time and on brief.
• Define success metrics, track progress against them and communicate clearly to senior leadership on risk, progress and outcomes.
• Champion agile, iterative delivery practices while maintaining a clear view of the longer-term roadmap.

Senior Product Manager

• Build and scale the mentoring program for field teams – designing flows, tools, success metrics, and operational processes
• Develop the learning block inside the Agent App, ensuring field staff have simple, high-quality, mobile-friendly training experiences
• Lead the creation of AI-powered learning tools (AI Trainer, AI Examiner, coaching assistants) that boost speed, consistency, and quality of upskilling
• Spend time in the field: visit stores, observe mentoring sessions, shadow agents – deeply understand their realities and learning gaps
• Translate insights into a clear, prioritised backlog that accelerates agent performance and organizational capability
• Partner closely with engineering, design, L&D, operations, and business leaders to ship impactful solutions fast
• Define measurable KPIs for learning effectiveness, adoption, and productivity – track results and iterate relentlessly

L&D Product Manager

• Design and implement a structured quality system across the full customer journey: prevent → proactive → self-service → online support → back-office
• Define evaluation criteria for each stage and align them with business and operations
• Run calibration sessions to ensure consistent standards
• Continuously evolve the framework as products and channels grow
• Help the company move from fragmented quality checks toward a clearer, more scalable quality development model
• Bring together signals from different data sources: chats, social media, app-related interactions, chat history, and other relevant customer touchpoints
• Define and implement quality assessment tools: manual review, AI scoring, CSAT/NPS/CES, self-service and back-office analytics
• Build monitoring for key metrics such as repeat contacts, escalations, long chats, bot fallback rate, FAQ conversion, and SLA
• Identify weak points across the journey and quantify the level of customer pain
• Own rollout and performance tracking of all quality tools
• Work with analytics and internal tooling teams to improve how quality data is collected, interpreted, and used
• Establish a clear definition of high-quality resolution focused on customer outcomes
• Set target metrics and connect them to business results
• Ensure shared understanding of quality standards across stakeholders
• Translate insights into action by building structured reporting for operations, business, training, and product teams
• Act as an ambassador for quality across internal teams, helping service and product stakeholders understand where the biggest issues are and what should improve
• Escalate critical cases and initiate improvement projects

Product Manager, Customer Quality

• Drive a wide range of initiatives across POS business and nearby areas
• Run pilots and tests with partners
• Help define and launch rates, pricing logic, promos, and product conditions
• Support product infrastructure topics such as tariff setup, promotions, onboarding, and origination-related changes
• Work on improving unit economics and product profitability
• Coordinate with analytics, development, and field sales teams to move initiatives from idea to launch
• Help ensure product changes are clearly explained and operationalized in the field
• Hold several parallel workstreams at once and keep them moving without losing context

Product Manager – POS Lending, Commercial Initiatives

• Internal First, External Next: Lead the development of internal AI tools and workflows, with a clear roadmap to evolve them into customer-facing products.
• Monetization Readiness: While initial focus is internal efficiency, design systems with future monetization in mind (usage-based pricing, credits, outcome-based billing).
• Competitive Intelligence: Maintain a "Battlecard" mindset—track both internal performance and external market trends to ensure our solutions are 10x better, not 10% faster.
• Prepare internal products for external launch by defining ICP, use cases, and ROI narratives early.
• Balance Accuracy, Latency, and Unit Cost across internal AI systems, with scalability for external deployment in mind.
• Build beyond copilots—develop autonomous agents that execute workflows (e.g., ticket resolution, QA automation).
• Establish internal data pipelines and feedback loops (RLHF) that will later serve as a competitive advantage for external products.
• Launch "Flash Builds" for internal users—prototypes in days, not months.
• Use internal teams as your first users to validate product-market fit before external rollout.
• Define and measure what “good” looks like—ensure reliability before scaling externally.

• Own a specific product area from concept through delivery
• Write clear, well-structured development tickets with acceptance criteria
• Gather and clarify requirements from stakeholders (communication is in English)
• Coordinate with developers and QA to ship features on time
• Test delivered features for correctness, edge cases, and compliance with industry requirements
• Maintain product documentation and roadmap for your area
• Use AI tools as a core part of your daily workflow — not as an afterthought, but as your primary way of working faster and better

Junior Product Manager

• - Lead the development and execution of critical product initiatives, driving strategy from concept to launch.
• - Own key product metrics and ensure that every decision contributes to meaningful business outcomes.
• - Work cross-functionally with engineering, design, data, and business teams to align on priorities and execute efficiently.
• - Leverage data and deep analytical thinking to identify opportunities, solve complex problems, and drive continuous improvement.
• - Take a highly **outcome-oriented approach**, ensuring efforts translate into real impact for customers and the business.
• - Operate with **extreme ownership**—you are responsible for delivering results, not just managing a backlog.
• - Work in a high-performance culture that demands top-notch work effort, strategic thinking, and relentless execution.
• - Travel to Manila periodically to work closely with teams on the ground.

• Define and own the product vision, roadmap, and backlog for enterprise data, analytics, or AI product areas.
• Act as the primary interface between the CDO and business, finance, and functional leaders for assigned domains.
• Own and maintain a prioritized, well-defined backlog with clear acceptance criteria and readiness standards.
• Partner with Data Governance, Data Stewards, and Platform Owners to ensure consistent KPI definitions and metric logic.
• Drive product adoption by ensuring solutions are intuitive, reliable, and aligned to real user workflows.

Product Owner

• Define and own the product vision, roadmap, and backlog for enterprise data, analytics, or AI product areas.
• Serve as the single point of accountability for product outcomes, delivery health, and user experience.
• Define and communicate product goals, success metrics, and value drivers to stakeholders and delivery teams.
• Ensure products operate with clear ownership, release discipline, and lifecycle management, behaving like true products—not one‑off projects.
• Act as the primary interface between the CDO and business, finance, and functional leaders for assigned domains.
• Partner with stakeholders to prioritize demand, manage tradeoffs, and align delivery to business timelines.
• Translate business needs into clear, actionable requirements without compromising data integrity or architectural standards.
• Establish and maintain trusted relationships that enable fast decision‑making and alignment.
• Own and maintain a prioritized, well‑defined backlog with clear acceptance criteria and readiness standards.
• Work with Program Managers, Scrum Masters, and delivery teams to plan releases and manage dependencies.
• Balance short‑term delivery needs with long‑term product health, scalability, and maintainability.
• Surface risks, constraints, or scope trade‑offs early to enable leadership decisions.
• Partner with Data Governance, Data Stewards, and Platform Owners to ensure consistent KPI definitions and metric logic, data quality, lineage, and trust standards, and alignment with enterprise data architecture and security policies.
• Ensure products meet operational readiness standards prior to release and are supported post‑launch.
• Drive product adoption by ensuring solutions are intuitive, reliable, and aligned to real user workflows.
• Define and track usage, adoption, and value realization metrics.
• Collect feedback and iterate to continuously improve product experience and impact.
• Support leadership by providing a clear narrative on what is delivered, what value it creates, and what comes next.

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