Product Manager

• Lead the strategy and execution of a B2B SaaS product
• Drive discovery and delivery processes
• Make data-driven decisions
• Serve as the product’s focal point
• Define and monitor product metrics
• Work closely with cross-functional teams
• Participate in team ceremonies
• Stay up to date on trends in AI applied to product

Staff Product Manager

• Ensure clear and assertive communication between business, IT and data, acting as a strategic bridge.
• Serve as the orchestrator of data products, ensuring prioritization, a structured backlog, strategic vision, and value-driven deliveries.
• Lead discovery activities, process mapping, and the identification of pain points and opportunities with partner areas.
• Create user stories, acceptance criteria, functional requirements, and necessary documentation.
• Conduct frequent alignments with the technical team (engineering, analytics) to clarify requirements and remove impediments.
• Monitor deliveries, metrics, and product progression, defining and tracking success KPIs.
• Facilitate agile ceremonies (refinement, planning, review, and retrospective) when necessary.
• Support continuous improvement initiatives and best practices in product, data, and process management.

Senior Product Owner – Data

• Lead the product strategy for the medication search engine and advertising solutions within the Digital Prescription product;
• Define the product vision, roadmap and priorities, balancing user experience, clinical impact and business outcomes;
• Maximize medication discoverability to increase search-to-prescription conversion rates;
• Design and evolve monetization models with the pharmaceutical industry, ensuring regulatory compliance and revenue generation;
• Ensure a smooth and reliable experience for physicians while preserving the integrity of the prescribing act;
• Conduct continuous discovery with users, stakeholders and usage data to identify product evolution opportunities;
• Partner with engineering, design, data and commercial teams for prioritization, execution and launches;
• Define and track KPIs for performance, search, conversion, engagement and monetization;
• Adapt search strategy for multiple distribution channels and usage contexts;
• Foster a culture of experimentation, testing and continuous learning to drive product evolution.

Senior Product Manager – Prescription

• Lead agile rituals: Facilitate refinement sessions (refinement), sprint planning, and daily alignments with the engineering and UX teams, ensuring everyone understands the value of what is being built.
• Decode product complexity: Understand needs and dive into documentation from insurers and partners to map fields, pricing rules, coverages, and assistance services that need to be integrated into our pricing engine.
• Ensure journey quality: Validate and test deliveries together with the QA team, ensuring that the calculation produced by the platform is 100% faithful to the insurer's reality (preventing issuance or claim errors).
• Analyze product health: Monitor dashboards to identify bottlenecks (e.g., why are quotes from Insurer X taking more than 5 seconds? Where are users dropping out of the flow?).
• Manage crises and prioritization: Handle real incidents, such as the sudden unavailability of a partner insurer's service, quickly deciding contingencies to avoid impacting brokers' or customers' operations.

Senior Product Owner

• As a Product Manager Specialist II, you will be the primary owner responsible for managing and integrating the RGM and Demand ecosystem. The unified platform integrates areas such as Portfolio Management, Campaign Management, etc., bringing together Sell-in and Sell-out operations. You will play a central role during a critical transition phase, balancing maintenance of a legacy system with the construction of a new data- and AI-driven architecture.
• Integration of Complex Ecosystems: Lead the development of a unified platform, with deep understanding of the interdependencies among multiple modules (Planning, Campaigns, Pricing, Simulators) and ensure that technical development directly reflects business value;
• Resilience and Stakeholder Management: Act as the point of connection and trust between Technology and Business areas. You will need to manage expectations regarding accumulated technical debt, restore alignment with planners, and manage executive requirements, negotiating priorities between supporting the current model (As-Is) and developing the future solution (To-Be);
• Delivery Management and Value Focus: Break large, complex projects into incremental value deliveries (MVPs). You will define the functional scope of each phase (e.g., centralized data view, automatic recalculation) and be responsible for excluding non-priority features based on return on investment (ROI) and adoption metrics;
• Change Management: Lead user transition by designing highly usable solutions to eliminate dependence on parallel spreadsheets, ensuring the new platform is adopted organically in partnership with stakeholders;
• Data and AI Orientation: Leverage GenAI for automation and ensure transparency (explainability) of predictive models, aiming to increase planners' confidence, reduce bias from manual interventions, and continuously improve error indicators;
• Mentorship and Raising Standards: Serve as a senior reference within the team, sharing best practices for continuous discovery, methodologies for breaking down deliveries, and strategic documentation applied to RGM and Planning.

Product Manager – Specialist II, RGM and Demand Products

• As a PM I, you will be responsible for the Artificial Intelligence and Data journey within the RGM and Demand platform. Your focus will be to ensure that Traditional AI and GenAI capabilities are not only developed but effectively adopted and understood by end users in Sell-in and Sell-out operations.
• AI Journey Leadership: Map and develop the user experience across all interactions with artificial intelligence in GPLAN (from demand forecasts to scenario simulations with GenAI), ensuring the technology addresses real pain points in the planning process.
• Explainability and Trust (Explainable AI): Operate at the intersection of Data Science, Design (UX) and Business teams. You will be responsible for ensuring users understand the reasoning behind algorithmic recommendations, reducing bias from manual intervention (unjustified adjustments to the machine forecast).
• Model Lifecycle Management in the Product: Define the scope of AI deliveries in MVP format. You will need to balance the complexity of data models with delivery timelines, deciding when to use simple heuristics and when to apply advanced predictive models.
• AI Adoption and Performance Metrics: Establish and monitor data-journey-specific indicators, such as recommendation acceptance rate, improvement in WAPE (forecast error), bias, and reduction in planning cycle time.
• Alignment with Technical and Business Stakeholders: Negotiate priorities directly with Machine Learning Engineers and Data Scientists, translating planners’ needs into technical requirements and vice versa.

Product Manager – Specialist I, RGM and Demand Products

• Partner with Subject Matter Experts, operational leaders, and business users to develop a deep understanding of product features, workflows, and business needs.
• Collaborate with product, design, and engineering teams to define and evolve product strategy in the auto finance and loan servicing domain.
• Own and manage the product backlog, ensuring priorities align with business goals and customer impact.
• Write clear, actionable user stories with well-defined acceptance criteria.
• Facilitate backlog grooming, sprint planning, and other Agile ceremonies to drive efficient delivery.
• Act as the primary liaison between stakeholders and engineering teams, ensuring clarity, alignment, and timely decision-making.
• Translate complex business requirements into scalable technical solutions.
• Monitor product performance, gather feedback, and continuously iterate to improve outcomes.
• Work closely with Product Management during the initial 6 to 12 months to ramp up on domain and product knowledge, then take ownership of specific product areas.

Product Owner – Contract

• Serve as the client's official and trusted point of contact, monitoring their pain points in real time and aligning expectations
• Deeply understand clients' business objectives and translate them into well-defined technical scopes and value-driven deliveries
• Evaluate the impact of client requests to prioritize the backlog with the technical team, providing quick responses and intelligent solutions during high‑urgency moments
• Act as a facilitator between technical and business stakeholders (both internal and clients), ensuring clear and aligned communication
• Manage project timelines, delivery milestones, and alignment meetings for the accounts under your responsibility
• Ensure deliveries operate with excellence, securely and in full compliance with BACEN and SUSEP regulations
• Provide consultative support to clients, addressing strategic and conceptual questions about the operation of the Open ecosystem

Product Owner – Open Ecosystem

• Define and prioritize the roadmap for AI solutions, balancing business value, technical feasibility, and model maturity.
• Lead product discovery: customer interviews, journey analysis, and identification of opportunities where generative AI provides real value (and where it does not).
• Write user stories, acceptance criteria, and clear functional specifications for engineering teams.
• Manage the backlog, run agile ceremonies (refinement, planning, review), and ensure incremental deliveries.
• Communicate progress, risks, and trade-offs to technical and non-technical stakeholders, including client C-level executives.

Senior Data/AI Product Owner

• Manage, organize, and prioritize the backlog for the products under your responsibility
• Translate business needs into clear requirements for development teams
• Refine user stories, acceptance criteria, and functional specifications
• Work closely with Product Managers, Design, and Technology to ensure continuous delivery of value
• Participate in agile ceremonies and support the team in removing product-related impediments
• Monitor the execution of tasks, ensuring alignment between scope, timelines, and quality
• Support the definition of operational metrics and monitor product KPIs
• Validate deliveries and ensure implemented solutions meet defined objectives
• Maintain constant communication with internal stakeholders, ensuring alignment and transparency on initiative progress
• Contribute to the continuous improvement of the company’s processes and products.

Product Owner, EdTech

• Manage the backlog
• Define priorities
• Align requests with stakeholders
• Ensure the product meets business needs

• Define and evolve the vision, strategy, and roadmap for products related to AI, Analytics, and conversational platforms;
• Lead prioritization decisions considering business impact, user experience, technical complexity, and scalability;
• Translate complex technical capabilities into intuitive, relevant solutions for B2B customers;
• Operate in environments with multiple technical, architectural, and organizational dependencies;
• Partner with Engineering, Data, AI, Design, and commercial teams to accelerate delivery and mitigate risks;
• Understand fundamentals of architecture, data, performance, reliability, and governance as part of the product scope;
• Lead strategic initiatives related to automation, conversational intelligence, analytics, and observability;
• Ensure real product adoption by reducing friction across different user profiles;
• Communicate directions, decisions, and trade-offs clearly to technical and business stakeholders;
• Influence strategic decisions even without formal authority.

Senior Product Manager – Studio & Analytics

• End-to-End Leadership: Define, prioritize and manage the product/project backlog, ensuring alignment between the company's strategic vision and technical delivery.
• Focus on Innovation and AI: Identify opportunities to apply AI (Agentic AI, Data, LLMs, etc.) to optimize processes and create new product features.
• Stakeholder Management: Work with the executive board, business areas and the development team.
• Delivery Assurance: Monitor schedules, risks, dependencies and success KPIs, ensuring innovation projects are delivered with quality and real value.
• Agile Culture and Adaptation: Facilitate agile ceremonies (Daily, Planning, Review, Retrospective), adapting the methodology to the team's reality and maturity.

• Lead discovery and evolution of AI products and the platform, aligning customer, business, and technology needs.
• Define the roadmap, requirements, and prioritization of features related to AI agents, automations, and AI-native experiences.
• Collaborate with engineering and design to build scalable, secure, multi-tenant solutions.
• Monitor adoption, efficiency, quality, and product monetization metrics, driving continuous improvement.
• Explore trends, emerging technologies, and opportunities to apply Artificial Intelligence to generate business value.
• Digital mindset, curiosity about new technologies, and an interest in understanding how Artificial Intelligence can transform processes, experiences, and outcomes.

Staff AI Product Manager

• Conduct continuous discovery with internal users to identify impactful opportunities to advance and improve our platform;
• Roadmap ownership: define the product vision, prioritize features, and calibrate decisions according to the progress of our pipeline’s agentic capabilities;
• Rapid prototyping and implementation of new ideas using AI tools across the product lifecycle (Profile Builder);
• Analytical perspective to define product metrics and evaluate quality, adoption, and effectiveness of platform applications as a B2E product;
• Cross-functional leadership with development, design, customer success (forward engineering) teams and business stakeholders, working on trade-offs and accelerating the team’s delivery velocity;
• Active monitoring of the evolution of our internal AI capabilities and the market, proactively proposing feature revisions and new opportunities.

• Discovery & Refinement: Transform prioritized business requests into clear user stories, robust acceptance criteria and dependency mapping.
• Complex Ecosystem Management: Negotiate and design solutions considering the integration of the Newcon ERP with approximately 20 legacy systems.
• Executive Communication: Translate technical and business status into clear, concise executive presentations for stakeholders and the board.
• Delivery Assurance: Track development timelines with the technical team, mitigate schedule risks and validate final production delivery (UAT/Homologation and Go-Live).
• Agile in Practice: Facilitate refinement and planning rituals, ensuring backlog health and tactical prioritization.

Senior Product Owner – Consórcio

• Manage initiatives to improve data product offering work with engineering or use AI tools to define problems, shape solutions, and ship
• Investigate data quality issues independently and own the full feedback loop, from root cause to resolution to clear communication with Customer Success and customers (joining customer calls, providing written resolution notes, etc)
• Design QA procedures to proactively identify and prevent data integrity issues
• Build repeatable, automated checks to reduce reliance on manual investigation

Product Manager – Data Quality

• Own the evolution of Accruent’s core Property & Facility Management capabilities
• Set direction, translate insight into action, and partner closely with Engineering, Design, and Go‑to‑Market teams to deliver products customers rely on every day
• Develop a clear, compelling product vision aligned with customer needs, market trends, and Accruent’s long‑term strategy
• Analyze customer feedback, usage data, and competitive dynamics to identify growth opportunities and unmet needs
• Define and manage a roadmap that balances customer value, business impact, and technical feasibility
• Own and prioritize the product backlog, writing clear epics and user stories with strong acceptance criteria
• Partner with Design and UX to explore, prototype, and validate solutions through user research and experimentation
• Align stakeholders across Product, Engineering, Design, Sales, and Customer Success on priorities and outcomes

Senior Product Manager

• Refine and elaborate user stories, ensuring clarity and well-defined acceptance criteria;
• Prioritize requests based on value, impact, risk and product strategy;
• Monitor the development cycle, ensuring alignment between requirements and deliveries;
• Lead requirements meetings, interviews and needs-mapping sessions with stakeholders;
• Analyze business processes and identify opportunities for improvement or automation;
• Translate business requirements into functional and technical specifications for the team;
• Validate deliveries against acceptance criteria, user experience and business impact;
• Support functional testing, user acceptance testing (UAT) and validation with end users;
• Evaluate hypotheses, MVPs, prototypes and A/B test results when applicable;
• Actively participate in planning, review, refinement and other Agile ceremonies;
• Work with the team to clarify questions about business rules, flows and expectations;
• Promote continuous alignment between the business and the technical team;
• Identify opportunities based on data, feedback and product metrics;
• Contribute to a culture of continuous improvement in processes, deliverables and user experiences;
• Monitor product indicators (usage, delivered value, performance, satisfaction);
• Research business requirements related to ERP modules;
• Develop detailed specifications and validate solutions with stakeholders;
• Recommend improvements and evolutions for ERP modules aligned with organizational processes.

Product Owner

• Define and execute the credit card acquisition strategy, focusing on sustainable and profitable growth;
• Manage the end-to-end acquisition funnel (traffic → application → approval → activation);
• Lead backlog prioritization based on data, financial impact and customer experience;
• Use advanced analytics to identify opportunities to increase conversion and reduce friction;
• Define and track key KPIs such as CAC, approval rate, conversion and activation;
• Drive continuous experimentation (A/B testing) across offers, journeys, communications and channels;
• Work closely with data, business, risk, CRM and engineering teams;
• Operate with a strong business-results orientation, connecting product to revenue and efficiency;
• Influence stakeholders and ensure executive alignment on priorities and outcomes.

See all jobs on JobTailor

Staff Product Manager

Senior Product Owner – Data

Senior Product Manager – Prescription

Senior Product Owner

Product Manager – Specialist II, RGM and Demand Products

Product Manager – Specialist I, RGM and Demand Products

Product Owner – Contract

Product Owner – Open Ecosystem

Senior Data/AI Product Owner

Product Owner, EdTech

Senior Product Owner

Senior Product Manager – Studio & Analytics

Senior Product Owner

Staff AI Product Manager

Product Manager

Senior Product Owner – Consórcio

Product Manager – Data Quality

Senior Product Manager

Product Owner

Product Manager – Credit Card Acquisition