
Technical Product Manager
Posted 2 days ago

Posted 2 days ago
This is a fully remote position, open to applicants in Brazil.
• Organize the backlog in alignment with the product's strategic direction
• Facilitate technical refinement sessions and establish the definition of done for each phase
• Create AI-enhanced delivery forecasts utilizing GitHub historical data
• Define work in progress (WIP), queue policies, and service classes for customer-reported issues
• Ensure accurate measurement of the initiation and conclusion of each task
• Publish flow metrics and DORA metrics to guide decision-making
• Evaluate and identify risks in Ruby monoliths, React/Node microservices, offline mobile applications, and IoT architectures
• Spearhead AI-assisted reverse engineering initiatives for legacy systems
• Integrate business-impact considerations into decision-making processes through spikes
• Establish coding standards and platform guidelines
• Oversee the team harness, including rules, skills, and agents to standardize and scale AI integration
• Set governance for AI-generated code and monitor its adoption
• Transform continuous integration into a quality checkpoint with verifiable standards and agreed-upon code review procedures
• Allocate resources for maintenance and addressing technical debt
• Incorporate infrastructure priorities into the workflow, such as observability, deployment, and rollback
• Liaise with vendors regarding scope, service level agreements (SLAs), tracking, and acceptance criteria
• Lead planning sessions, refinement processes, and daily stand-ups while reporting risks in advance of deadlines
• Engage in the Product Chapter, considering feasibility, costs, risks, and dependencies
• Assist Development and QA teams in implementing deployment, observability, and rollback practices
• Proven experience as a Technical Product Manager, Technical Program Manager (TPM), Technical Lead, Engineering Manager, or Delivery Manager within a SaaS environment
• Strong technical expertise to interpret architectures, evaluate risks, and collaborate with developers as peers
• Familiarity with cloud services and CI/CD processes, including pipelines, deployment, observability, and rollback
• Proficiency in flow management utilizing metrics such as cycle time, throughput, and DORA
• Daily utilization of AI in software engineering tasks
• Structured analytical thinking and exceptional synthesis capabilities
• Experience within a startup or scaling organization
• Excellent writing skills and the ability to thrive in remote and asynchronous work settings
• Nice to have: development background; experience with Azure DevOps, GitHub, and GCP/BigQuery; familiarity with legacy systems involving microservices, offline mobile, or IoT; experience in reverse engineering or legacy modernization; knowledge of rules, skills, and agents for tools like Claude, Cursor, or similar; understanding of technology vendors and SLAs; experience with engineering OKRs and FinOps
• Career development plan
• Profit-sharing bonus
• Life insurance
• TotalPass wellness benefit
• Partnership with Open English
• Coworking space in São Paulo
• Peternity leave
• Health insurance
• Parental leave policy
• Income protection insurance
• Bereavement leave for the loss of a pet
• Paid time off
• Birthday day off
• Remote work model
• Dental insurance
Keyfactor
Gravitate
Leap
Wolters Kluwer
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