• 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.

Role Description UP.Labs is hiring a hands-on Head of Engineering for a stealth startup building an AI-powered identification and commerce platform for a large, fragmented industrial aftermarket. The industry is massive, essential, and almost entirely un-digitized. The core problem: the journey from how industrial equipment is manufactured to how it gets serviced in the field is fundamentally broken. Parts go unidentified. Wrong parts get ordered and returned at staggering rates. And the experts who know how to navigate this complexity are retiring with no system in place to capture what they know. We're building the platform that fixes this end-to-end - starting with AI-powered visual identification and expanding into the full commerce layer: cross-reference, fit confirmation, inventory, and embedded ordering. The goal isn't just an identification tool. It's the commerce OS for this industry, with identification as the entry point. As the first engineering leader, you'll own architecture, data infrastructure, and team building. You'll remain hands-on early, build the technical foundation from scratch, and set long-term technical direction as we scale. You'll also have access to the UP.Partners ecosystem - product, engineering, design, analytics, legal, talent, finance, and VC - to help accelerate execution. In this role, you will: - Lead and grow the engineering team, balancing hands-on development with strategic leadership. - Architect and own the core platform, including data pipelines, AI/ML integration layers, machine vision systems, and scalable cloud infrastructure. - Lead ingestion and transformation of complex structured industrial data — bridging the gap between how equipment is built and how it can be identified and serviced in the field. - Build and oversee a mobile-first product experience, leveraging camera, LiDAR, and on-device sensors for AI-powered identification in the field. - Design and ship robust integrations with OEM ERP and DMS systems to ingest inventory, pricing, and product data at scale. - Partner with Product and Data Science to translate messy real-world industrial workflows into intelligent, automated systems. - Drive best practices around security, CI/CD, observability, testing, and documentation. - Establish the technical vision for AI-driven identification, predictive data enrichment, and closed-loop fulfillment execution. - Manage and mentor distributed contributors (including nearshore/offshore teams) to build a high-performance engineering culture. - Deliver quick MVP iterations while laying the foundation for enterprise scale. Qualifications - A technical leader who thrives at the intersection of AI, data, and enterprise SaaS. - Hands-on and detail-oriented, comfortable writing code, reviewing PRs, and guiding architecture. - Fluent in agentic AI development - you've worked with AI coding tools and understand how to build and lead teams in this new world order. - Skilled at integrating complex enterprise data systems (ERP, DMS, supply chain, pricing engines). - Experienced building products that combine data infrastructure with applied machine learning and computer vision. - A collaborative partner who can work closely with product, data science, and business stakeholders - and represent the technical vision credibly in front of customers and investors. - Capable of thriving in ambiguous, high-growth startup environments and scaling teams from 0→1 and beyond. Requirements - 8+ years in software engineering, including 4+ years leading small, high-output teams in early-stage environments. - Strong backend or full-stack background and ability to remain hands-on. - Proven experience scaling B2B enterprise SaaS platforms with real-time data pipelines and system integrations - you think in SLAs, uptime, and enterprise integration patterns. - Expertise in cloud architecture, CI/CD pipelines, observability, and distributed systems. - Experience working with AI/ML platforms (e.g., predictive models, computer vision, optimization engines, LLM copilots). - Experience overseeing or building mobile app products (iOS/Android); familiarity with on-device sensor capabilities (camera, LiDAR) is a strong plus. - Familiarity with ERP/CRM/DMS integrations - SAP experience is a plus. - Experience leading or managing distributed teams (nearshore/offshore). - Background in aftermarket, supply chain, manufacturing, or industrial systems (nice-to-have). Benefits - Build and lead the engineering organization for a high-growth AI startup from day one - full ownership, meaningful equity. - Solve a genuinely hard problem in a market that has been ignored by technology - the opportunity to be first matters here. - Work directly with a CEO with deep commercial experience in the space who wants a technical co-founder-level partner - not someone behind the glass. - Collaborate with UP.Labs, strategic OEM partners, and investors to drive real impact in a $20–30B+ market. - Earn meaningful equity in a company positioned to transform how OEMs and distributors generate and protect revenue. - Remote-friendly. We care about output, not location.