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 We are currently seeking a software engineering manager to join the Alternatives Data Management (ADM) team. Our team is building AI-powered data products and workflow solutions that unlock transparency, efficiency, and insight in private market investments. You’ll lead a full-stack team of engineers and collaborate closely with Product and Design to deliver client-facing features that will set us apart from our competitors. Applicants must have legal authorization to work in the country where this role is based on the first day of employment. Visa sponsorship is not available for this position. What You’ll Do Manage a small team of frontend and backend engineers that will grow as you do Own technical design and implementation for some of your projects to set a good example for the ICs Work with platform teams to deliver features with consistent capabilities Drive the career growth of your direct reports Stay up to date on industry trends, such as AI tooling, that can make the team more effective Collaborate with ADM engineering and product leads in the US, UK and India to drive team-wide process improvements and best practices Who you are B
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About Scale AI Scale's rapidly growing Global Public Sector team is focused on using AI to address critical challenges facing governments around the world. Our core work consists of: Creating custom AI applications that will impact millions of citizens Generating high-quality training data for national LLMs Upskilling and advisory services to spread the impact of AI As these applications move from prototype to production, we're investing heavily in the infrastructure and people that keep them reliable, secure, and trusted by our government partners. At Scale, we're not just building AI solutions - we're enabling the public sector to transform their operations and better serve citizens through cutting-edge technology. If you're ready to shape the future of AI in the public sector and be a founding member of our team, we'd love to hear from you. Role Overview We are looking for a technically strong and customer-oriented Engineering Manager to lead the development of AI applications for Saudi government clients. This role sits at the intersection of engineering leadership, AI/ML delivery, and direct client engagement—requiring someone who is equally comfortable presenting to a government stakeholder as they are reviewing a system architecture or shipping code. As a founding member of our regional team, you will help define how Scale AI shows up for some of the most ambitious public sector AI initiatives in the Gulf. If you thrive in fast-paced, high-impact environments and want to shape the future of AI in government, we would love to hear from you. What You'll Do Lead and manage a team of engineers delivering AI-powered applications for KSA government clients, ensuring high-quality output and on-time delivery Serve as the primary technical point of contact for KSA government stakeholders—translating complex engineering concepts into clear, accessible language for non-technical audiences Design, build, and optimize full stack AI applications end-to-end, fro
Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities. We're looking for an Engineering Program Manager — or a technical engineer ready to move into program management — to help drive execution on our RISC-V CPU team. You'll work across architecture, design, verification, physical design, and DFT to keep a high-performance CPU program moving from spec through tapeout and post-silicon debug. Partnering with a senior program lead and engineering managers, you'll own schedules, track milestones, surface risks early, and keep cross-functional teams aligned. This role is hybrid, based out of Austin, TX or Santa Clara, CA. We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting. Who You Are Experience in CPU, SoC, or silicon development — as an engineer, technical lead, or program manager. Comfortable working with cross-functional engineering teams and translating technical detail into clear status, dependencies, and trade-offs. Organized and proactive; you chase down open items rather than waiting for them to resolve. A clear communicator who can hold your own in engineering discussions and write updates leadership can act on. What We Need Support the full CPU development cycle — spec, design, verification, DFT, ta
Opportunity Overview: As a member of the Solutions Configuration Management team you will be contributing to the analysis, documentation, implementation and maintenance of the configurations needed to enable Cohere Health solutions to meet the needs of our customers. You’ll work closely with members of the Product, Engineering, Implementation, and Testing teams to scope, document, implement and deliver configuration items (CIs) needed to meet the requirements as part of the implementation and maintenance of our solutions. What you’ll do: Own the execution of configuration deliverables for assigned projects, including client implementations and launches Analyze requirements and translate them into scalable configuration solutions Create and maintain clear documentation, including configuration specifications and standard operating procedures Collaborate with Product, Engineering, Implementation, and Testing teams to ensure configurations meet client and system requirements Validate and troubleshoot configurations in partnership with QA and testing teams Manage configuration items (CIs) throughout their lifecycle, ensuring timely and accurate delivery Required Qualifications: Must-haves 2+ years of professional experience in a Configuration role Hands-on experience working with structured data formats (JSON, XML) Familiarity with APIs Experience troubleshooting configuration issues in production or pre-production environments Experience working with ticketing systems (Jira, ServiceNow, etc.) Strong written and verbal communication skills in English, with the ability to clearly document technical configurations and decisions Experience with project management Experience with data exchange/transformation and/or integration/interoperability analysis and implementation Proven experience in Excel, including advanced functions and data analysis Knowledge of version control systems Knowledge of configuration management tools Self-starter, able to work independently, able to
About the Team DoorDash is a data driven organization and relies on timely, accurate and reliable data to drive many business and product decisions. Data is at the foundation of DoorDash success. The Data Engineering team builds database solutions for various use cases including reporting, product analytics, marketing optimization and financial reporting. By implementing data structures and data warehouse architecture, this team serves as the foundation for decision-making at DoorDash. The focus extends to enhancing the developer experience by creating tools that support the organization's high-velocity demands. To lead the growing team of Data engineers we are looking for managers who are passionate about Data and are thought leaders in coaching, guiding and leading teams to make Data a winning edge for DoorDash. About the Role DoorDash is looking for a Data Engineering Manager to guide the development of enterprise-scale data solutions. This manager will also act as a technical expert on all things related to data architecture to empower the greater community of data engineers, data scientists, and DoorDash partners. Your focus extends to fostering an engineering culture of excellence, empowering engineers to deliver reliable, flexible solutions at scale. Additionally, you'll play a pivotal role in building and nurturing a top-performing team, driving innovation and success in a dynamic, fast-paced environment. You must be located in San Francisco, CA, Sunnyvale, CA, or Seattle, WA for this hybrid position. You’re excited about this opportunity because you will… You are a people leader. You thrive in hiring, building, growing and nurturing impactful business focused data teams You are a technology leader. You drive the technical and strategic vision for the embedded pods and foundational enablers to meet current and future needs for scale and interoperability You strive for continuous improvement of data architecture and development process You think of quick wins
We anticipate the application window for this opening will close on - 28 Sep 2026 Careers that change lives start here. Medtronic is a global leader in healthcare technology with a Mission to alleviate pain, restore health, and extend life. Our 95,000 employees work across more than 150 countries to put patients first — developing innovative medical technologies that improve the lives of 72+ million patients each year. Your unique talents will help shape the future of healthcare while building a career grounded in purpose, growth, and impact. A Day in the Life Cranial & Spinal Technologies (CST) develops technologies that support the treatment of neurological and spinal conditions through software-enabled medical devices, navigation platforms, and connected solutions. The Software Engineering function partners closely with research and development, systems engineering, quality, regulatory, and product teams to deliver reliable, secure, and high-quality software that supports product innovation across the CST portfolio. This role leads a team of software engineers responsible for the development, delivery, and sustainment of software used in regulated medical device products. The Engineering Manager provides technical and people leadership while driving engineering execution, process maturity, software quality, and adoption of modern development practices, including the responsible use of artificial intelligence (AI)-enabled engineering tools. Primary Responsibilities Lead and develop a team of software engineers responsible for the design, development, testing, release, and maintenance of medical device software. Partner with research and development, systems engineering, quality, regulatory, product management, and program teams to align software de
To lead the Generative AI engineering initiatives at Adani AI Labs, focusing on developing intelligent agents and sovereign cloud AI solutions. This role drives the architectural design, implementation, and scaling of Generative AI applications that optimize operations across Adani’s industrial sectors, aligning with the vision to deliver secure, scalable, and intelligent digital transformation. The Engineering Manager will oversee a team of backend engineers while remaining actively involved in technical execution. This is an exciting opportunity to lead mission-critical product engineering initiatives and build state-of-the-art AI-driven systems within a dynamic and innovative environment at Adani. Source: Adani Group | Job ID: 44640
At Render, we’re building the modern cloud platform for developers creating AI-native, full-stack, multi-service applications. Our mission is to eliminate the tradeoff between the power of hyperscalers and the simplicity of developer-friendly platforms—so teams can ship fast, scale reliably, and focus on their product, not infrastructure. Unlike complex hyperscalers or ephemeral edge/serverless solutions, Render offers a developer-first experience with persistent compute, dynamic autoscaling, built-in orchestration, and observability, allowing teams to launch, scale, and manage real-world applications without writing infrastructure code or managing servers. Whether you're building LLM-powered applications, scalable SaaS products, or async processing pipelines, Render empowers teams to move fast and scale confidently from MVP to millions of users. Our platform is trusted by over 6.5 million developers worldwide and continues to grow rapidly. In February 2026, we raised an additional $100M in Series C financing, bringing our total funding to $257M, to accelerate our vision of making cloud infrastructure both powerful and intuitive—designed for the speed of modern AI development. We’re a diverse and talented team that values craft, velocity, and user experience. If you’re excited to help shape the future of the intelligent cloud and empower developers everywhere, we’d love to hear from you. Applying to Render We're seeking candidates who possess high integrity, humility, and an insatiable drive to learn. Through reasoned discussions and continuous feedback, we strive to improve both individually and collectively. We foster an environment of mutual trust and respect, empowering effective debate to achieve the best outcomes for our customers and team. We especially encourage members of underrepresented groups in the tech community to apply and understand that not all successful candidates will meet each requirement listed. Our interview process is unique to each role, an
Who we are At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to remote-first work , and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. . Hiring and how we work We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions! Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings. . See yourself at Twilio Join the team as Twilio’s next Software Engineer, Platform Engineering (L2) About the job This position is an engineering role within Twilio Platform Engineering, suited to an engineer who is building hands-on experience with highly available, large-scale distributed systems. Our systems regularly process more than 12 billion emails during peak events like Black Friday, and our throughput requirements continue to scale rapidly. As an L2 engineer, you will help build and operate backend services at scale, working alongside more senior engineers on our dual-cloud infrastructure spanning Amazon Web Services (AWS) and Microsoft Azure. You'll get hands-on with Kubernetes, contribute to Terraform-based infrastructure automation, and write production code to help keep distributed systems healthy under real production load, using modern AI-assisted tooling to move faster and ramp up your skills. Responsibilities In this role, you’ll: WEAR THE CU
Who we are At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to remote-first work , and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. . Hiring and how we work We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions! Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings. . See yourself at Twilio Join the team as Twilio’s next Software Engineer, Platform Engineering (L3) About the job This position is a critical engineering role within Twilio Platform Engineering, requiring a hands-on engineer capable of developing, deploying, and managing highly available, massive-scale distributed systems. Our systems regularly process more than 12 billion emails during peak events like Black Friday, and our throughput requirements continue to scale rapidly. As an L3 engineer, you will build and operate resilient backend services at scale and contribute to the design and reliability of our dual-cloud infrastructure span across Amazon Web Services (AWS) and Microsoft Azure. You'll run Kubernetes beyond the boundaries of managed services, automate infrastructure with Terraform, and write production code to help keep distributed systems healthy under real production load while using modern AI-assisted tooling to move faster. Responsibilities In this role
At Datadog, we don’t just support our products, we master them. As Datadog’s in-house product experts, the Technical Escalation Engineering (TEE) team plays a critical role in driving our global success. We enable our customers, from the world’s most innovative startups to the largest enterprises, to harness the full power of Datadog’s platform, ensuring their growth, reliability, and performance. Through deep technical expertise, relentless problem-solving, and exceptional customer engagement, we educate, guide, and troubleshoot, delivering high-impact solutions that shape the customer experience. Whether through hands-on technical call, in-depth fact findings meeting, or complex investigations, we set the gold standard for technical excellence and customer advocacy. As part of our TEE team, you’ll tackle the most challenging technical problems, collaborate directly with Engineering and Product to refine and evolve our platform, and mentor teams worldwide, elevating the technical bar at every level. This is not just a support role; this is a career-defining opportunity to push boundaries, grow as an expert, and make a tangible impact on both our customers and Datadog’s future. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Manage, develop, coach and mentor Technical Escalation Engineers and/or people managers and their teams who respond to client requests, reproduce and troubleshoot issues, and dive into Datadog’s 400+ integrations Partner with Technical Engineering Director colleagues and VP of Support Engineering on strategic, global initiatives at scale Ensure the successful onboarding and development of Technical Escalation Engineers Oversee all projects and initiatives within the region, as well as cross regional ones, and functional a
Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. Your Location This position is CHINA BASED. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. Your recruiter will inform you what cities you are able to work from depending on your personal legal working identity and Airbnb internal policies. The Community You Will Join: Community Support (CS) has increasingly become a key driver of enabling Airbnb's core business. The Community Support Engineering team is responsible for the world-class technology, architecture, and solutions that power CS at Airbnb. The products and capabilities we build empower our guests and hosts, CS agents, and operations teams around the world. As part of the CS Product vision, we are leveraging AI to transform how we deliver customer service - combining advanced ML/LLM capabilities with the expertise of our Support Ambassadors to create a seamless, high-quality support experience. The Difference You Will Make: As an ML Manager within Community Support Product Engineering in China, you will lead a team of machine learning engineers to research, design, and optimize AI models and services that scale AI-powered products and measurably improve the end-to-end Community Support experience for guests, hosts, and support ambassadors. What You’ll Do: Hire, mentor and guide a dynamic team of highly skilled machine learning engineers, fostering their technical growth and professional development. Proactively take initiatives to drive for outcomes over the scope of the team. Build relationships and drive alignment with stakeholders within
Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. Important to read before submit application: This role must be physically based in China. The Community You Will Join: Community Support Engineering (CSE) has increasingly become a key driver of enabling Airbnb's core business. Community Support Engineering is responsible for the world-class technology, architecture, and solutions that power CS at Airbnb. The products and capabilities we build empower our guests and hosts, CS agents, and operations teams around the world. As a member of CSE in China, you will have a great opportunity to make lasting impacts on the Airbnb CS user experience. The Difference You Will Make: We are seeking a highly skilled and motivated engineer who is passionate about making a difference through their work. As a Staff Software Engineer, you will be the technical lead in a team of talented and diverse software engineers leading the project execution to improve Airbnb customers and agents experience. You will lead the team and work with global technical leaders to build and evolute CS engineering foundations, such as Routing, Data platform, Case management, foundational toolings etc A Typical Day: Collaborating with cross-functional partners to deeply understand business problems before developing project solutions. Leading the execution of projects across the full software development lifecycle, including technical design, implementation, testing, and deployment, ensuring solutions are high-quality, scalable, and performant; Driving productive and constructive technical discussions with peers and cross-team technical leaders in the global collaborati
Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. About the team The Solutions Architecture team works with our largest, most complex users to understand their technical requirements and map those to Stripe technology. As a Solutions Architect, you'll partner with Sales to technically qualify new business opportunities, demonstrate the art of the possible with the Stripe Platform, and design robust technical solutions to enable payment transactions, manage money movements, and simplify financial operational processes. What you’ll do You are an experienced technologist with a blend of technical depth and strong business consulting skills. You can write code, but prefer to spend your time working with users to create Stripe solutions to support customer business objectives in complex, mission critical environments. You'll think strategically about the art of the possible for the user’s business, and be able to clearly articulate that in a way that informs and builds confidence in Stripe’s technology. You should be able to engage and motivate cross-functionally both internally and within our customer’s organisations at all levels, from Cx to Product Engineering. You'll have a track record of delivering outstanding customer results as part of a pre-sales team, but a history of deep technical work that gives you the ability to be credible with any audience. Responsibilities Engage with Chief Technical Officers, engineering leads, and other technical leads at key users to share technology roadmaps, demonstr
About the Team Security is at the foundation of OpenAI's mission to ensure that artificial general intelligence benefits all of humanity. The Identity Infrastructure Engineering team sits at the core of this effort, designing and building the identity and access management solutions that protect model weights, customer data, and critical systems across multiple cloud environments. The team partners across OpenAI, including Applied Engineering, Research, IT, Security, Infrastructure, and Engineering, to provide secure and scalable platforms for identity, access management, permissioning, orchestration, and safe AI research. About the Role We’re looking for an engineering leader to lead Identity Infrastructure Engineering, the team building the systems that govern and scale access across OpenAI’s research, engineering, and internal platforms. This role sits at the center of cloud infrastructure, identity, software engineering, and security-critical operations. You’ll lead engineers building control planes, policy systems, workload and agent authorization patterns, infrastructure-as-code, and operational foundations that help OpenAI move quickly while keeping access reliable, auditable, least-privileged, and safe under failure. The ideal candidate has led teams responsible for large-scale, mission-critical infrastructure. They can go deep into code and architecture when needed, while giving engineers and technical leads the clarity and ownership to do their best work. They set technical direction, grow strong teams, make durable architecture decisions, and turn ambiguous 0-to-1 problems into platforms OpenAI can trust and build on for years. In this role, you will: Build and lead a high-performing Identity Infrastructure team, going deep enough technically to set direction while empowering the team to own delivery. Define the strategy for identity platform as the policy plane for access across people, agents, workloads, services, clouds, and internal systems. Scale Acc
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