• Collaborate with all the sensor development teams, across the company, on architecture and strategic initiatives. • Conceptualize and develop new product features. • Provide guidance and support to development teams in designing and implementing software for cross-platform delivery (Windows, macOS, Linux). • Take ownership of features throughout the entire lifecycle, from initial design to final delivery, including presenting product demonstrations at the conclusion of each sprint. • Engage in cross-functional collaboration with teams situated in various locations.

Role Description We are seeking a skilled Engineering Manager in the Fraud team who thrives in a dynamic environment and is passionate about leveraging technology to combat fraudulent activities. In this leadership role, you will drive the technical vision and oversee a talented group of engineers dedicated to building sophisticated fraud detection systems. Your main responsibility will be leading the development and deployment of algorithms that identify potentially fraudulent behavior, balancing security with user experience. You will foster a culture of collaboration and innovation while ensuring that the engineering team has the tools and mentorship they need to succeed. Key Responsibilities: - Manage and lead multiple engineering teams, setting clear objectives and ensuring alignment with company goals. - Play a key role in hiring, training, and developing engineering talent, fostering a growth-oriented and supportive environment. - Establish a culture of technical excellence, accountability, and innovation. - Drive performance management, ensuring continuous learning, coaching, and career progression for team members. - Guide conversations to remove blockers and foster collaboration within the team. - Define clear KPIs and OKRs to measure team effectiveness and delivery success. - Make proactive adjustments to team capacity and delivery timelines as needed. - Accompany the different stakeholders in planning and organizing priorities. - Ensure teams deliver projects on time, meeting quality and scalability standards. - Manage engineering budgets, tooling investments, and infrastructure costs to maximize efficiency. - Clearly communicate the technical vision to engineering teams, ensuring alignment and commitment to delivery. - Collaborate with Product, Design, and Business stakeholders to ensure strategic alignment. - Act as a bridge between business, product and technology, translating technical insights into business impact. - Foster a culture of open communication, knowledge sharing, and cross-team collaboration. - Ensure clarity in system design, advocating for scalable, maintainable, and resilient architectures. - Guide teams in making high-impact architectural decisions, balancing tradeoffs between scalability, security, and performance. - Oversee technical roadmaps, ensuring alignment with business goals and long-term system evolution. - Encourage best practices in software engineering, including code reviews, CI/CD automation, observability, and performance optimization. - Collaborate with cross-functional teams to define and refine technical requirements. - Promote the adoption of AI-assisted engineering practices within your squad and chapter, leveraging tools for code generation, automated refactoring, test case creation, and technical documentation. Qualifications - Academic background oriented toward computer science, engineering, or software development disciplines. - Proven track record of leading teams and working in product-driven companies. - Hands-on experience in backend (Java, Spring Boot, Kafka, PostgreSQL, AWS) and optionally frontend development, with a track record of delivering scalable systems. - Background optimizing engineering processes using agile methodologies, DevOps principles, and continuous delivery pipelines. - Experience working in medium to high complexity domains, with strong understanding of web and mobile application architecture, security, and best practices. - Knowledge of relational database systems and Object Oriented Programming. - Familiarity with Domain-Driven Design (DDD) and experience designing or maintaining microservices-based systems. - Ability to work and thrive in a fast-paced environment, learn rapidly and master diverse web and mobile technologies and techniques. - Practical experience applying AI frameworks in development projects. - Advanced Problem-Solving and Decision-Making Skills. - Ability to engage both technical and non-technical stakeholders. - Proven ability to lead high-performing engineering teams, define clear objectives, and ensure successful, on-time delivery. - Ability to evaluate and prioritize technical work based on business value, system health, and long-term platform goals. - Experience driving knowledge sharing, and promoting collaborative development practices. - Active contribution to aligning technological strategies with broader organizational objectives. - Strong grasp of software quality practices: testing strategies, code reviews, observability, performance optimization. - Strong understanding of software architecture and distributed systems, with experience guiding decisions around scalability, security, and maintainability. - Familiarity with AI-assisted development tools (e.g., code generation, test automation, documentation support). - Proven ability to manage engineering budgets, infrastructure resources, and tooling investments. - Track record of hiring, coaching, and developing engineering talent, including mentoring technical leads and fostering team growth. - Success in managing managers and building layered leadership structures is a plus. - Strong business acumen and ability to translate technical initiatives into business value. - Proven capability defining and tracking team KPIs and OKRs to measure delivery success. - Ability to manage timelines, priorities, and resources across multiple squads or teams. - Demonstrated success working with cross-functional stakeholders (Product, Design, Business, Operations). Benefits - Competitive and market-aligned salary. - Annual Award Program. - Remote work — wherever you are, you’re part of the team! - Home office allowance through a monthly deposit in the RecargaPay app. - Health and dental plans with no co-pay. - Life insurance. - Flexible meal allowance (via Flash). - TotalPass membership to take care of your health. - Language classes. Company Description At RecargaPay, you’ll have the freedom to be who you are because we believe that diverse perspectives and experiences make us more creative and stronger. Here, everyone is welcome to express themselves authentically. We value the richness of each journey and the multiple ways of seeing the world, without distinctions of gender, race, sexual orientation, age, religion, or any other characteristic that makes us unique.

• Lead teams across Reddit's Developer Productivity and AI portfolio, spanning agent infrastructure, AI-assisted code review, developer environments, LLM governance, developer tooling, AI workflow measurement, and software delivery automation. • Partner deeply with engineering teams as a technical leader, balancing execution, organizational alignment, technical quality, and long-term platform strategy. • Lead and grow high-performing engineering teams focused on AI-native developer productivity. • Define and evolve the operating model for AI-native software development. • Drive alignment across infrastructure, developer experience, reliability, security, compliance, product engineering, machine learning, and executive stakeholders. • Build engineering systems and organizational processes to help teams move from experimentation to durable adoption of AI-assisted workflows while maintaining quality, reliability, and operational safety. • Develop communication and enablement mechanisms that bring engineers and leaders along for the journey.

• Lead, coach, and grow a senior-skewed team of ~12 engineers across multiple workstreams • Set and maintain the unifying technical thesis for the team • Drive consolidation of bespoke retailer-vertical services onto unified Instacart platform rails • Partner with ML and Data Engineering on long-term enterprise data platform compliance • Deliver self-service tooling that lets retailers and internal teams ship without engineering bottlenecks • Represent technical and product trade-offs across multiple engineering and product organizations