Service And Engagement Executive Team Leader Jobs

Overview: Guidepoint seeks an experienced Data/AI Engineer as an integral member of the Toronto-based AI team. The Toronto Technology Hub serves as the base of our Data/AI/ML team, dedicated to building a modern data infrastructure for advanced analytics and the development of responsible AI. This strategic investment is integral to Guidepoint’s vision for the future, aiming to develop cutting-edge Generative AI and analytical capabilities that will underpin Guidepoint’s Next-Gen research enablement platform and data products. This role demands exceptional leadership and technical prowess to drive the development of next-generation research enablement platforms and AI-driven data products. You will develop and scale Generative AI-powered systems, including large language model (LLM) applications and research agents, while ensuring the integration of responsible AI and best-in-class MLOps. The Senior AI/ML Engineer will be a primary contributor to building scalable AI/ML capabilities using Databricks and other state-of-the-art tools across all of Guidepoint’s products. Guidepoint’s Technology team thrives on problem-solving and creating happier users. As Guidepoint works to achieve its mission of making individuals, businesses, and the world smarter through personalized knowledge-sharing solutions, the engineering team is taking on challenges to improve our internal application architecture and create new AI-enabled products to optimize the seamless delivery of our services. This is a hybrid position based in Toronto. What You'll Do: Architect and Build Production Systems: Design, build, and operate scalable, low-latency backend services and APIs that serve Generative AI features, from retrieval-augmented generation (RAG) pipelines to complex agentic systems. Own the AI Application Lifecycle: Own the end-to-end lifecycle of AI-powered applications, including system design, development, deployment (CI/CD), monitoring, and optimization

Overview: Guidepoint seeks an experienced AI Engineer as an integral member of the Toronto-based AI team. The Toronto Technology Hub serves as the base of our Data/AI/ML team, dedicated to building a modern data infrastructure for advanced analytics and the development of responsible AI. This strategic investment is integral to Guidepoint’s vision for the future, aiming to develop cutting-edge Generative AI and analytical capabilities that will underpin Guidepoint’s Next-Gen research enablement platform and data products. This role demands exceptional leadership and technical prowess to drive the development of next-generation research enablement platforms and AI-driven data products. You will develop and scale Generative AI-powered systems, including large language model (LLM) applications and research agents, while ensuring the integration of responsible AI and best-in-class MLOps. The AI/ML Engineer will be a primary contributor to building scalable AI/ML capabilities using Databricks and other state-of-the-art tools across all of Guidepoint’s products. Guidepoint’s Technology team thrives on problem-solving and creating happier users. As Guidepoint works to achieve its mission of making individuals, businesses, and the world smarter through personalized knowledge-sharing solutions, the engineering team is taking on challenges to improve our internal application architecture and create new AI-enabled products to optimize the seamless delivery of our services. This is a hybrid position based in Toronto. What You'll Do: Architect and Build Production Systems: Design, build, and operate scalable, low-latency backend services and APIs that serve Generative AI features, from retrieval-augmented generation (RAG) pipelines to complex agentic systems. Own the AI Application Lifecycle: Own the end-to-end lifecycle of AI-powered applications, including system design, development, deployment (CI/CD), monitoring, and optimization in production

About Capco Capco is a global technology and business consultancy focused on the financial services and energy sectors. We bring together industry expertise, technology and innovative thinking to help our clients navigate complex transformations and create lasting impact. In Belgium, our consultants work closely with leading financial institutions on strategic business and technology transformation initiatives. The Role We are looking for an experienced Scrum Master to join Capco’s consulting team and support one of our clients within the financial services industry. You will join a multidisciplinary team, where the focus is on creating, maintaining and continuously improving automation solutions, including robots and chatbots . The team works with technologies such as Blue Prism to automate processes and improve the way client services are delivered. As Scrum Master, your role is to enable the team to perform at its best. You will facilitate the Agile way of working, help remove impediments, strengthen collaboration and support continuous improvement across the team. You will work closely with the Product Owner, technology specialists, business stakeholders and other teams to ensure smooth and effective delivery. What You Will Do Facilitate Agile ceremonies including Sprint Planning, Daily Scrums, Sprint Reviews, Retrospectives and backlog refinement sessions. Coach and support the team in applying Scrum and Agile principles in a pragmatic and effective way. Identify and help remove impediments that impact the team’s progress. Foster ownership, collaboration and continuous improvement within the team. Work closely with the Product Owner to ensure effective backlog management and sprint preparation. Facilitate communication and alignment between business and technology stakeholders. Create transparency around progress, priorities, dependencies and risks. Support the delivery and continuous improvement of automation solutions, including robots and

The Applied AI team designs and builds algorithmically driven features in the Datadog app. We work across a range of applications, primarily focusing on analysis on streaming data such as anomaly detection, error outliers and faulty deployment analysis. As an Applied Scientist you will work on building models and algorithms for machine learning powered features within the Datadog platform. You will work closely with our engineering and product partners to explore, build, scale and deliver these features that we incubate within the Applied AI team. At Datadog, we place value in our office culture - the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them. What You’ll Do: Design solutions for our different use cases. You will research and benchmark relevant algorithms to find the best fit for our use-cases Leverage machine learning algorithms and statistical techniques to build new scalable product features Develop, deploy and monitor new and existing features to production Participate in our journal club by reading and presenting the latest academic research papers to the team Explore, analyze and tell the story behind high volumes of data flowing through Datadog systems Maintain and monitor the models, services and infrastructure owned by your team Participate in your team’s on-call rotation Who You Are: You have a BS/MS/PhD in a Computer Science, Engineering, Machine Learning or related scientific field or equivalent experience You have experience working with high-scale systems and datasets including building models, applying machine learning to real business problems, and writing production data pipelines You can explain complex ideas and algorithms to non-technical audiences You care about code simplicity and performa

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 Managing Consultant, Strategy & Transformation 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 Managing Consultant, Strategy & Transformation Managing Consultant – Strategy & Transformation Advisors & Consulting Services Services within Mastercard is responsible for acquiring, engaging, and retaining customers by managing fraud and risk, enhancing cybersecurity, and improving the digital payments experience. We provide value-added services and leverage expertise, data-driven insights, and execution. Our Advisors & Consulting Services team combines traditional management consulting with Mastercard’s rich data assets, proprietary platforms, and technologies to provide clients with powerful strategic insights and recommendations. Our teams work with a diverse global customer base across industries, from bankin

About Sentry Software runs the world and the pace is faster than ever. Sentry helps developers fix errors and performance issues before users notice, so teams can spend less time firefighting and more time building. Trusted by 200,000+ organizations, Sentry is today’s application monitoring standard and our team is building its AI-native future. About the role Sentry provides tools that help developers find and fix issues in their applications. The Developer Infrastructure team owns the systems that make every engineer at Sentry more effective at shipping high quality software: developer environments, CI/CD for our open source and closed source codebases, the golden path for building new services, our SDK and library publishing tooling, and the metrics and dashboards that keep it all healthy. Our goal is straightforward: developers should spend their time thinking about the software they build for customers, not the software they use to build it. That means everything from local and cloud development environments, to the CI/CD pipeline that gets code out safely and quickly, to the tooling that catches flaky tests before they cost someone a day. As AI coding agents become part of how engineers work, we're also investing in making sure our environments, CI, and deployment systems support that shift. As a Software Engineer on Dev Infra, you'll help build and scale this infrastructure end to end. In this role, you will Build and maintain the tooling that powers local and cloud-based developer environments Improve CI for our codebases and CD for our deployment pipeline, keeping both fast and reliable as the org and its infrastructure grow Define and evolve the golden path for building new services and libraries at Sentry Contribute to our SDK and library publishing tooling and release processes Build the metrics, dashboards, and flaky test detection that give the org visibility into deployment health and CI reliability Build tooling that gives engineers, and the AI codin

The Applied AI team designs and builds algorithmically driven features in the Datadog app. We work across a range of applications, primarily focusing on analysis on streaming data such as anomaly detection , error outliers and faulty deployment analysis . As an Applied Scientist you will work on building models and algorithms for machine learning powered features within the Datadog platform. You will work closely with our engineering and product partners to explore, build, scale and deliver these features that we incubate within the Applied AI team. At Datadog, we place value in our office culture - the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them. What You’ll Do: Design solutions for our different use cases. You will research and benchmark relevant algorithms to find the best fit for our use-cases Leverage machine learning algorithms and statistical techniques to build new scalable product features Develop, deploy and monitor new and existing features to production Participate in our journal club by reading and presenting the latest academic research papers to the team Explore, analyze and tell the story behind high volumes of data flowing through Datadog systems Maintain and monitor the models, services and infrastructure owned by your team Participate in your team’s on-call rotation Who You Are: You have a BS/MS/PhD in a Computer Science, Engineering, Machine Learning or related scientific field or equivalent experience You have experience working with high-scale systems and datasets including building models, applying machine learning to real business problems, and writing production data pipelines You can explain complex ideas and algorithms to non-technical audiences You care about code simplicity and performance You are excited to work on

Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! The Production Engineering team focuses on end-to-end reliability, durability, scalability, and performance of Figma products and services. We’re looking for an experienced Engineer to scale and drive the initiatives and programs that support Figma’s production engineering efforts, allowing our product teams to rapidly deliver new features. This is a critical part of success for both our ability to build new products and features, support the growth of our user base, and enable innovation for all engineering (infrastructure and product teams, alike). We’re looking for a generalist with a strong grasp of Computer Science fundamentals. The ideal candidate will have experience building and running complex large scale services. Additionally, they will have a passion for building tools that simplify operating large-scale infrastructure and for improving the operational maturity of Figma. This is a full time role that can be held from one of our US hubs or remotely in the United States. What you'll do at Figma: Work closely with the engineering team to define standard methodologies and goals around reliability, durability, scalability, and performance Address common operational challenges through better telemetry and by building tools / services Debug production issues across services and levels of the stack Participate in design reviews and production reviews for new features, products or infrastructure components Plan for the growth of Figma’s infrastructure Operate and maintain AWS Infr

Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! The Production Engineering team focuses on end-to-end reliability, durability, scalability, and performance of Figma products and services. We’re looking for an experienced Engineer to scale and drive the initiatives and programs that support Figma’s production engineering efforts, allowing our product teams to rapidly deliver new features. This is a critical part of success for both our ability to build new products and features, support the growth of our user base, and enable innovation for all engineering (infrastructure and product teams, alike). We’re looking for a generalist with a strong grasp of Computer Science fundamentals. The ideal candidate will have experience building and running complex large scale services. Additionally, they will have a passion for building tools that simplify operating large-scale infrastructure and for improving the operational maturity of Figma. What you'll do at Figma: Work closely with the engineering team to define standard methodologies and goals around reliability, durability, scalability, and performance Address common operational challenges through better telemetry and by building tools / services Debug production issues across services and levels of the stack Participate in design reviews and production reviews for new features, products or infrastructure components Plan for the growth of Figma’s infrastructure Operate and maintain AWS Infrastructure We’d love to hear from you if you have: Have 5+ years of experience operating infrastruct

About the Team The Infrastructure Engineering function sits within IT and is responsible for reliably building, deploying, and operating critical on prem and hybrid environments that power internal services and critical R&D environments. This is an early, high-leverage technical role focused on applying strong Site Reliability Engineering discipline to environments where uptime, safety, recoverability, and security are non-negotiable. This person helps replace bespoke, one-off infrastructure with standardized infrastructure-as-code building blocks that compound reliability and operational leverage as OpenAI scales. About the Role We are looking for an experienced Site Reliability Engineer working on security infrastructure to design, build, and operate reliable, secure, and scalable infrastructure that underpins identity, access, endpoint, and shared platform services across the company. In this role, you will be a senior technical owner for infrastructure and identity systems end to end, from architecture and implementation through policy enforcement, upgrades, recovery, and day-two operations. You will build durable, production-grade platforms that remove operational friction, enforce security by default, and enable teams to move faster with confidence. This role is well suited for a hands-on senior engineer who thrives in ambiguity, enjoys owning complex systems end to end, and raises the reliability and security bar by replacing fragile implementations with standardized, repeatable infrastructure. This role is based in our San Francisco HQ and requires in-office presence. In this role, you will: Design, build, and operate reliable infrastructure across on-prem, hybrid, shared, and product adjacent environments. Establish standardized infrastructure patterns that replace bespoke implementations with repeatable, auditable, secure-by-default systems. Own the lifecycle of critical infrastructure platforms, including provisioning, deployment, upgrades, patching,

About the Team The Storage Infrastructure team builds and operates the storage foundation behind OpenAI’s most demanding workloads. We work directly with research to design storage systems for rapidly evolving experiments, while also powering production at scale. We own the platform end to end: backend systems, user-facing services and APIs, and the control planes that manage how data is placed, moved, and retained over time. Our stack spans cloud and in-house object stores across very different workload profiles, from GPU-attached systems to dedicated storage hardware. We also build the federation layer that unifies these backends behind a simple interface and routes each workload to the right storage solution. About the Role You will help build the storage platform that powers OpenAI’s research and production systems. This is a hands-on infrastructure role for engineers who want to work on deeply technical systems at scale and own them in production. You’ll work across object storage, cross-region data movement, lifecycle management, and the federation layer that provides a unified interface across multiple backends. Much of our stack runs on Kubernetes, and we primarily build services in Rust. In this role, you will: Build and operate storage services that underpin OpenAI’s research infrastructure Develop object storage systems across cloud and in-house environments Build systems for cross-region data movement, replication, and recovery Design lifecycle management capabilities that keep data durable, available, and cost-effective Evolve the federation layer that unifies multiple backend systems behind a simple interface Improve performance, reliability, and operational excellence across the platform Collaborate closely with researchers and infrastructure teams to support rapidly evolving workloads You might thrive in this role if you: Have experience building or operating distributed systems in production Have worked on storage infrastructure, object stores, dist

Who We Are Addepar is a global data and AI platform empowering investment professionals to turn complex financial information into actionable intelligence. Addepar unifies portfolio, market and client data in a total portfolio view and delivers AI-powered insights within investment and client workflows. More than 1,400 firms in nearly 60 countries use Addepar to manage and advise on nearly $9 trillion in assets. Its open platform integrates with nearly 650 software, data and consulting partners to power end-to-end investment operations across firms of all sizes and complexity. Addepar supports clients worldwide with offices in New York City, Salt Lake City, London, Edinburgh, Pune, Dubai, Geneva, Singapore and São Paulo. The Role The Advisor Experience team builds bespoke solutions for financial advisors to grow and sustain their business, starting with a new secure messaging experience. As a Senior Software Engineer with a frontend emphasis, you will be the primary owner of the team’s user interface layer — crafting modern, performant, and intuitive experiences that financial advisors rely on daily. You will lead frontend architecture decisions, build and maintain component systems, and collaborate closely with Product Design to translate complex advisor workflows into elegant, accessible interfaces. While your primary impact will be on the frontend, you will work across the full stack as needed to deliver complete features and integrate with backend services and APIs. Applicants must be legally authorized to work in the United States for any employer without requiring current or future visa sponsorship (for example, employment-based visas such as H-1B , F-1 /OPT, or similar), and must be authorized to begin work in the U.S. on their first day of employment. What You’ll Do Lead frontend development for the Advisor Experience Secure Messaging product, building rich, performant user interfaces using modern web frameworks. Design and maintain scalable frontend a

We are a global team of innovators and pioneers dedicated to shaping the future of observability. At New Relic, we build an intelligent platform that empowers companies to thrive in an AI-first world by giving them unparalleled insight into their complex systems. As we continue to expand our global footprint, we're looking for passionate people to join our mission. If you're ready to help the world's best companies optimize their digital applications, we invite you to explore a career with us! Your opportunity We are a global team of innovators and pioneers dedicated to shaping the future of observability. At New Relic, we build an intelligent platform that empowers companies to thrive in an AI-first world by giving them unparalleled insight into their complex systems. As we continue to expand our global footprint, we're looking for passionate people to join our mission. If you're ready to help the world's best companies optimize their digital applications, we invite you to explore a career with us! Every experience we build is only as good as our understanding of the person using it. You'll help distill how people actually use New Relic, across classic interfaces and newer surfaces like agentic conversations, into models that let those experiences adapt in ways that feel relevant and contextual. This position is for the Personalization team, starting with a greenfield project! Our stack centers on Java 25, Spring, GraphQL, NoSQL, Kubernetes, Kafka and AWS. If you're passionate about understanding user behavior at scale and want to help shape how New Relic's classic and agentic experiences adapt to the people using them, we want to hear from you. What you'll do Build, maintain, and scale backend services and Kafka-based streaming pipelines that process user behavior data across our AWS infrastructure Design microservices and APIs that expose user segments and behavioral models to downstream surfaces, both classic UI and agentic Turn behavioral signals into segments

What if the work you did every day could impact the lives of people you know? Or all of humanity? At Illumina, we are expanding access to genomic technology to realize health equity for billions of people around the world. Our efforts enable life-changing discoveries that are transforming human health through the early detection and diagnosis of diseases and new treatment options for patients. Working at Illumina means being part of something bigger than yourself. Every person, in every role, has the opportunity to make a difference. Surrounded by extraordinary people, inspiring leaders, and world changing projects, you will do more and become more than you ever thought possible. Core Job Summary Position Summary: Manages the design, planning, construction and maintenance of equipment, machinery, buildings, and other facilities. Plans, budgets, and schedules facility modifications, including estimates on equipment, labor, materials and other related costs. Designs and develops organizational policies relevant to the facilities department. Oversees the coordination of building space allocation and layout, communication services and facilities expansion. May have responsibility for establishing and overseeing health and safety standards. Changes to individual responsibilities may occur due to business needs and other related duties may be assigned. Scope of Responsibilities: Receives predetermined work assignments with incremental objectives and defined processes, subject to a moderate level of control and review. Directs subordinates to complete assignments using established guidelines and procedures. Administers company policies that directly affect subordinate employees and recommends changes to unit, sub-unit, or discipline policies. Works on assignment

Who Are We HALA is a leading fintech player in the MENAP region that aims to redefine financial services and build the future bank of SMEs. HALA aims at empowering SMEs to start, run, and grow their businesses by providing them with cutting-edge financial and technological tools. HALA currently holds multiple entities in UAE, Saudi Arabia and Egypt (including HALA Payments and HALA Logistics) and offers solutions that enable merchants to digitize their payments as well as manage their sales and operations. Founded in 2017, HALA is currently licensed by the Saudi Arabian Central Bank. Objective: We are seeking a senior auditor to join our Internal Audit team and perform risk-based financial, accounting, and finance-related audits across HALA. The senior auditor will be responsible for planning and executing audits covering financial reporting, accounting processes, financial controls, treasury, revenue assurance, reconciliations, financial instruments, and other finance-related activities. The role involves evaluating the design and operating effectiveness of internal controls, assessing compliance with applicable regulatory requirements and accounting standards, identifying financial and operational risks, and providing practical recommendations to strengthen financial governance, reporting accuracy, operational effectiveness, and risk management. The position will also contribute to the execution of the approved Internal Audit Plan, development of audit methodology, supervision of audit resources, and delivery of high-quality audit reports and insights to senior management and the Audit Committee. Responsibilities: -Perform audit planning activities, including risk assessments, audit scoping, identification of key financial risks and controls, development of audit programs, and preparation of testing procedures -Evaluate the design and operating effectiveness of financial controls, identify control deficiencies, assess their financial and operational