• Lead, coach, and develop Engineering Managers and Software Engineers across multiple Scrum teams. • Serve as a senior people leader for the organization, supporting hiring strategy, performance management, career development, and succession planning. • Oversee delivery health across multiple teams, ensuring alignment to strategic priorities, cross-team coordination, and predictable outcomes. • Drive delivery execution across teams by partnering with Product Owners, Scrum Masters, Architects, and peer leaders to ensure aligned priorities and capacity balance. • Identify and address systemic issues impacting engineering effectiveness, including processes, dependencies, tooling, architecture alignment, and team structure. • Ensure teams consistently deliver high-quality, scalable, and maintainable software aligned with architectural standards. • Balance short-term delivery needs with long-term technical health, platform sustainability, and team capacity. • Foster a culture of accountability, collaboration, psychological safety, and continuous improvement across teams. • Serve as a senior escalation point for delivery risks, people challenges, and cross-team conflicts. • Contribute to organizational design, capacity planning, and workforce strategy to support business growth and product roadmap needs. • Help define and reinforce engineering standards, best practices, and ways of working across teams. • Collaborate with Architecture and senior technical leaders to ensure sound technical direction and alignment. • Monitor delivery and engineering health metrics across teams and use data to drive organizational improvement. • Encourage engineering best practices including code reviews, testing, documentation, and operational excellence. • Mentor Engineering Managers and emerging technical and people leaders. • Communicate effectively with stakeholders and senior leadership on progress, risks, and outcomes. • Support organizational initiatives related to process improvement, tooling, and engineering maturity

• Design, develop, and deploy complex, multi-step AI agents with tool-use, memory and context management, leveraging LangChain, LangGraph, and LangSmith frameworks, and integrating with foundational Large Language Models (LLMs). • Integrate LLMs with external tools, APIs, knowledge sources, and enterprise systems. • Build retrieval layers (e.g., hybrid search, vector search, metadata filtering) optimized for LLM consumption. • Stay up to date with cutting-edge technologies and best practices for building Gen AI-based applications.

• Architect and deliver complex stream-processing solutions. • Mentor engineering teams and foster a culture of technical excellence. • Collaborate with cross-functional stakeholders for robust technical systems. • Optimize streaming jobs for performance, fault tolerance, and resource efficiency. • Conduct design reviews and troubleshoot production issues. • Develop and maintain high-performance backend services and distributed systems using Java. • Design scalable event-driven architectures for high-throughput workloads.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description This role offers an exciting opportunity to lead the technical strategy and execution across advertiser growth initiatives for a major digital platform. You will architect and implement scalable backend solutions that support both internal teams and external partners, enabling advertisers of all sizes to succeed. - Collaborate closely with product, design, data, UX, and sales teams to drive high-impact projects that shape the future of the ads platform. - Mentor other engineers, define long-term roadmaps, and ensure the reliability, performance, and usability of core API services. - This is a high-visibility role where technical decisions directly impact business growth and platform monetization. - Lead the architecture, design, and implementation of the Ads API and related backend services to enable advertiser growth. - Define multi-year technical roadmaps and translate complex business needs into scalable solutions. - Collaborate with cross-functional teams including product, marketing, data science, UX, and sales to align engineering efforts with business goals. - Mentor and coach engineering team members, fostering a culture of technical excellence and proactive problem-solving. - Drive execution on high-leverage projects, prioritizing initiatives that maximize advertiser acquisition, retention, and satisfaction. - Stay current with industry trends, best practices, and emerging technologies to continuously evolve platform capabilities. Qualifications - 7+ years of software engineering experience with a record of leading large-scale, cross-team technical projects. - Expertise in at least one general-purpose programming language (e.g., Go, Python, Scala, Java, or C++) and the ability to develop expertise in multiple languages. - Strong leadership and decision-making skills, including the ability to prioritize and deliver through others. - Experience with experimentation, data-informed decision-making, and hypothesis-driven product development. - Excellent communication and collaboration skills to align stakeholders and influence technical and business decisions. - Self-motivated with a bias for action and the ability to navigate ambiguity independently. - Experience building highly available, performant, and secure APIs or backend systems is strongly preferred. Benefits - Comprehensive healthcare benefits, including medical, dental, and vision coverage. - 401(k) plan with employer match. - Family planning support and gender-affirming care. - Mental health and coaching benefits. - Flexible vacation policy and global days off. - Generous paid parental leave and volunteer time off. - Equity in the form of restricted stock units and potential for performance-based bonuses.