• Hire, guide, and enable a high-performing Growth engineering team, creating an environment where GitLab team members can do their best work and deliver strong results. • Partner closely with Product Managers, Product Designers, Data counterparts, and other Engineering Managers to define and deliver improvements that increase user discovery, activation, and expansion of value in GitLab. • Own delivery for your team, including planning, prioritization, and execution of work across experiments and product improvements, turning learnings into measurable gains in conversion, engagement, and upgrade flows. • Drive Growth’s operating model by guiding experiment ideation, ICE-based prioritization, hypothesis development, and review of results so the team can scale winning changes and stop low-impact work quickly. • Guide the technical design and implementation of experiments and growth-oriented product changes, ensuring they are measured well and tied to activation, conversion, and retention outcomes. • Work across Growth and other stage groups when work touches areas owned by other teams, helping your team move quickly while maintaining strong partnership and clear ownership boundaries. • Dive into technical discussions and reviews, helping unblock complex issues and translating technical and experimental tradeoffs into clear context for technical and non-technical stakeholders. • Foster strong async communication and healthy cross-functional operating rhythms with Product, Design, Analytics Instrumentation, Data, Customer Success, Sales, and other Growth counterparts to improve experiment execution and business outcomes. • Drive the adoption of AI-native experimentation and workflows, actively identifying creative opportunities to use AI to accelerate user value delivery.

• Hire, manage, and enable a high-performing Data Insights Platform engineering team, creating an environment where team members can do their best work and deliver strong results. • Partner closely with product managers, product designers, and peer engineering managers to define and deliver the roadmap for Data Insights Platform (DIP) and related Platform Insights initiatives. • Own delivery for your team, including planning, prioritization, execution, and operational follow-through across architecture work, platform improvements, and production readiness. • Guide the technical design of distributed data-path components, including ingestion, buffering, enrichment, exporting, and querying. • Help the team design safe and scalable integrations with the GitLab monolith. • Drive a high bar for security, privacy, and governance in how platform data is handled. • Improve operational maturity across the platform, including observability, metrics, logging, readiness, capacity planning, performance monitoring, and clear runbooks for managed environments. • Collaborate asynchronously across teams and functions.

Role Description This position is a key leader responsible for driving the development and delivery of our internal AI platforms and solutions. This role has end-to-end ownership for the team's delivery, focusing on accelerating AI enablement across the Bentley business. You will lead a team of talented engineers and external vendors, coaching them to solve complex business user requirements to maximize adoption and impact across the organization. - Lead a hybrid software engineering team, including internal engineers and external vendors, to deliver highly available, scalable, and performant AI platforms and services. - Set and maintain a high bar for code quality and excellence in delivery, taking ownership of the long-term quality, maintainability, and uptime of the team's products. - Act as an active participant in project planning, ensuring that project goals and milestones are met within the approved budget and timeline whilst ensuring quality. - Define and own the long-term architectural vision and strategy for our enterprise AI platforms, guiding the design of the full solution, from sophisticated AI agents to intuitive UIs. - Proactively meet with key stakeholders across the organization to understand their operational pain points and gather business AI requirements. - Be responsible for the skills development of your team, developing career plans and providing coaching for continuous learning and improvement. - Make fact-based decisions to drive product adoption, guide development priorities, and control costs through proper architectural choices. Qualifications - Bachelor's degree in Computer Science, Engineering, or a related field. - 10+ years of proven experience in Software Engineering, with a strong background in building enterprise-scale applications. - 2+ years of leadership experience managing a software development team, with experience leading globally diverse or hybrid teams being a plus. - Experience managing multi-million dollar vendor engagements. - Hands-on experience implementing enterprise-wide AI tool rollouts. - Proficient in modern software development practices. - Experience with AI/ML projects or platforms and familiarity with relevant languages such as Python, Java, or C#. - Strong ability to estimate, plan, and supervise the work of a significant team for a complex, long-term project. Benefits - A great Team and culture. - An exciting career as an integral part of a world-leading software company providing solutions for architecture, engineering, and construction. - An attractive salary and benefits package. - A commitment to inclusion, belonging and colleague wellbeing through global initiatives and resource groups. - A company committed to making a real difference by advancing the world’s infrastructure for better quality of life. Company Description Around the world, infrastructure professionals rely on software from Bentley Systems to help them design, build, and operate better and more resilient infrastructure for transportation, water, energy, cities, and more. Founded in 1984 by engineers for engineers, Bentley is the partner of choice for engineering firms and owner-operators worldwide, with software that spans engineering disciplines, industry sectors, and all phases of the infrastructure lifecycle.

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we're helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Director, Software Engineering About Mastercard Mastercard is a global technology company in the payments industry. Our mission is to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart, and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments, and businesses realize their greatest potential. Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. With connections across more than 210 countries and territories, we are building a sustainable world that unlocks priceless possibilities for all. Role Summary Lead Quality Engineering as a strategic function across all CNPF products and platforms. Build and lead a global team of quality engineers obsessively focused on customer experience and product reliability - operating across the full stack (frontend, backend, APIs, data pipelines, AI/ML, infrastructure). Define QE strategy and ensure its execution at pace. The role is responsible for designing, developing, testing, maintaining, and enhancing Mastercard's software solutions to ensure quality, security, scalability, and performance to deliver measurable business value. Key Responsibilities - Develop and execute short-term and medium-term strategic plans for Quality Engineering - Lead the design and delivery of complex testing solutions across full-stack applications, data systems, and infrastructure - Drive test automation strategy - define what to automate, at what layer, with what tooling - Embed quality earlier in the lifecycle (shift-left) and extend into production (shift-right) - Define QE strategy for data products - pipeline validation, data contracts, schema drift detection, ML model quality - Establish evaluation and quality frameworks for AI and agentic products - guardrail testing, hallucination detection, prompt regression testing - Own release quality gates and define ship-or-hold criteria - Drive root cause analysis on production incidents and escaped defects - Manage budget, resource planning, and vendor relationships for QE - Hire, develop, and retain world-class QE talent; build compelling career paths - Evaluate, select, and manage QE tooling; drive build-vs-buy decisions - Stay current with industry QE practices and represent Mastercard externally Qualifications Required: - 12+ years of software engineering experience, with 7+ years focused on Quality Engineering at increasing levels of scope and leadership - 5+ years managing engineering teams, including managing people leaders (managers of managers) - Demonstrated expertise across full-stack application quality (API, UI, microservices) and data/ML system quality (pipelines, models, data platforms) - Track record of defining and executing QE strategy at scale - not just running a test team, but transforming how an organization approaches quality - Experience in financial services, payments, or other highly regulated technology environments - Strong communication skills including the ability to assert quality positions to senior leadership, present to executives, and influence without authority - Experience with budget and resource management, including forecasting, vendor management, and build-vs-buy decisions - Bachelor's degree in Computer Science, Software Engineering, or equivalent practical experience Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: - Abide by Mastercard's security policies and practices; - Ensure the confidentiality and integrity of the information being accessed; - Report any suspected information security violation or breach, and - Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines.