Monitor risks in autonomous AI agent ecosystems and identify vulnerabilities in AI models to protect business operations. Develop an autonomous platform for continuous AI risk surface assessment and bridge communication between technical and non-technical stakeholders.
iFood
27 Remote Job Openings at iFood
Evolve the credit platform architecture focusing on scalability, resilience, and critical solution coding. Mentor engineers in design best practices and build robust observability through dashboards and metrics.
Define and implement visual standards for logistics groups while optimizing the courier's journey. Create high-quality, state-of-the-art interfaces that align with business objectives and inspire the design team.
Lead the design of anticipation and credit experiences for partners by integrating AI agents into the financial ecosystem. Collaborate with Product, Business, Data, and Engineering teams to define product vision and elevate the team's technical design standards.
Develop AI-driven automations and agents to improve productivity and quality across the company. Research and implement new AI tools and processes while collaborating with cross-functional teams to define technical decisions.
Develop AI-driven automations and agents to improve productivity and quality across iFood's workflows. Research and implement new AI tools and processes while collaborating with cross-functional teams to deliver scalable technical solutions.
Plan and execute offensive operations and adversary simulations against iFood Pago's infrastructure, applications, and AI-powered systems. Collaborate with Blue Teams in Purple Team exercises to improve detection and response capabilities.
Develop AI-driven automations and agents to improve productivity and quality across the company. Conduct experiments and collaborate with cross-functional teams to implement scalable AI tools and processes.
Organize internal processes and team cadence to align logistics parametrization solutions with the product vision. Collaborate on the development of AI agents and maintain alignment with stakeholders to ensure operational needs are met.
Develop AI-driven automations and agents to improve productivity and quality across the company. Conduct experiments and collaborate with cross-functional teams to implement scalable AI tools and processes.
Lead the technical machine learning area by building an agentic architecture from scratch and managing promotional investment structures. Implement guardrails, monitoring, and risk management for production agents while ensuring low latency and high responsiveness.
Develop and improve generative models for recommendation systems using LLM structures. Contribute to the creation of APIs and ETLs to optimize user experience and explore new recommendation opportunities within the app.
Monitor KPIs and analyze data to improve the restaurant partner experience and drive sustainable growth. Collaborate with multidisciplinary teams to build innovative solutions and manage multiple projects simultaneously.
Monitor and analyze operational indicators such as SLA, productivity, and CSAT to identify performance gaps and root causes. Implement process improvements and automation using AI to reduce operational costs and increase partner satisfaction.
Product Manager Sênior (Tributário e Regulatório) - Vaga afirmativa para Mulheres
iFood
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Full Time
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14 days ago
iFood
Lead product strategies focused on tax and regulatory compliance, specifically addressing the Tax Reform. Act as a bridge between technical teams and stakeholders to monitor KPIs and ensure operational health.
Perform deep security analyses on products and flows, focusing on AppSec, architecture, and risk tracking. Propose and implement security controls and develop automation systems to enhance application security.
Manage a team to ensure the security and continuous operation of network infrastructure, including firewalls and VPNs. Oversee WAF administration, bot control strategies, and vendor relationships to protect web applications.
Focus on commercial planning for the market sector with an emphasis on market share and commercial policy. This involves analyzing data to provide business recommendations and creating dashboards to support decision-making.
Actively prospect new partners and manage a portfolio of opportunities to present iFood's business solutions. Handle the entire sales funnel from demand generation to closing through virtual meetings and CRM management.
Coordinate and prioritize security tests for LLM-based applications, focusing on prompt injection, jailbreaks, and data leakage. Monitor AI security controls and lead the evolution of testing suites and tools to ensure the safety of AI agents and platforms.
Manage the operational aspects of the ID League project and implement scalable identity controls and guardrails. Analyze complex user databases to generate actionable insights and maintain technical documentation through RFCs and ADRs.
Evolve the credit platform architecture with a focus on scalability, resilience, and observability. Mentor engineers and develop critical technical solutions while collaborating with partner teams for internal clients.
Support the AI Security team in protecting the AI ecosystem, focusing on LLMs, agents, and ML models. Responsibilities include performing security tests for prompt injection and jailbreaks, analyzing security alerts, and documenting technical findings.
Design and develop ETL code and data pipelines to expand the Enterprise Data Lake. Collaborate with teams to collect business requirements and maintain high-scale data products and documentation.
Plan and execute offensive operations and adversary simulations against iFood Pago's infrastructure, applications, and AI systems. Collaborate with Blue Teams in Purple Team exercises to improve detection and response capabilities.
You will define and implement data governance policies and frameworks, focusing on data quality, reliability, and lineage. Additionally, you will collaborate with engineering teams to build automated monitoring, validation, and testing solutions for data pipelines.
The Staff Software Engineer will be responsible for designing, developing, and optimizing tools and systems supporting Continuous Integration (CI) pipelines, build systems, and platform infrastructure. This role focuses on ensuring engineers can deliver software quickly, reliably, and securely by improving build times and test automation.