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About Mitsogo | Hexnode Mitsogo is a global organization that highly values the contributions of each employee. Our ability to attract top talent is a testament to our commitment to fostering a sense of belonging for everyone. We recognize the rapid evolution of technology and society that impacts our industry, and we prioritize equipping our employees with diverse opportunities and empowering them with a wide range of skills. Hexnode, the Enterprise software division of Mitsogo Inc., was founded with a mission to simplify the way people work. Operating in over 100 countries, Hexnode UEM empowers organizations in diverse sectors. Fueling the transformation to a seamless ecosystem of connected tools, Hexnode is revolutionizing the enterprise software and cybersecurity landscape. Role We are seeking a Senior Windows Device Driver Engineer for our Windows Kernel Development team to build, debug, and maintain kernel-mode drivers and user-mode components. This role requires strong hands-on expertise in Windows internals and low-level debugging, and is expected to grow into technical leadership—mentoring engineers and owning a component end-to-end—while remaining primarily an individual contributor. You will work closely with a Windows Kernel Development team based in Chennai, own a driver component or feature area, and collaborate across QA, product, and support to ship production-grade driver code. If you have strong hands-on Windows driver experience and are ready to start taking on technical leadership, we want you on this team. Responsibilities Design, implement, and maintain Windows kernel-mode drivers, user-mode components (e.g., mini-filters, WFP network callouts, WDF function drivers). Debug complex, low-level issues such as crash dumps, BSODs, race conditions, and IRQL violations, using tools like WinDbg. Own a driver component or feature area end-to-end, from design through shipping and support. Build and maintai

About Ema Ema builds AI Employees for HR, IT and Finance. Our AI Employees take on the busy work across the employee experience, from recruiting, onboarding and benefits to IT support, invoice processing and payroll, so people can spend their time on work that needs them. Founded by former executives from Google, Coinbase, Flipkart, and Okta, our team includes engineers from premier tech companies and graduates of Stanford, MIT, UC Berkeley, CMU, and IITs. We are backed by industry leading investors including Accel, Naspers/Prosus, Creaegis, Section32, and angels like Sheryl Sandberg and Dustin Moskovitz. Headquartered in Silicon Valley and with offices in London, Bangalore and Vancouver, Ema is at the frontier of what Agentic AI can do in production. We ship real systems that run real business processes at scale. Build agents that learn from the work they do. Ema builds AI employees that carry out complex workflows across enterprise applications. Our ML team works on the loop that makes them better: production traces become data, data becomes training and evaluation, and better agents produce better traces. The hard part is deciding which intervention will improve behavior in the next real workflow. The problem space Harnesses and inference-time compute. Design context, tools, skills and orchestration for multi-step agents, including work across documents, slides, images, audio and video. Test where extra reasoning, search or verification earns its latency and cost. Build self-improvement loops with explicit permissions, evaluation gates and rollback. Agent post-training. Curate trajectories for SFT, optimize preferences, or run RL on real agent tasks. Investigate methods such as DPO, GRPO or DAPO where they fit; compare process and outcome supervision, shape rewards, and distill useful frontier behavior into smaller models. Measure whether gains transfer beyond the training environment. Environments and rewards. Turn enterprise workflows into reproducible training

About Ema Ema builds AI Employees for HR, IT and Finance. Our AI Employees take on the busy work across the employee experience, from recruiting, onboarding and benefits to IT support, invoice processing and payroll, so people can spend their time on work that needs them. Founded by former executives from Google, Coinbase, Flipkart, and Okta, our team includes engineers from premier tech companies and graduates of Stanford, MIT, UC Berkeley, CMU, and IITs. We are backed by industry leading investors including Accel, Naspers/Prosus, Creaegis, Section32, and angels like Sheryl Sandberg and Dustin Moskovitz. Headquartered in Silicon Valley and with offices in London, Bangalore and Vancouver, Ema is at the frontier of what Agentic AI can do in production. We ship real systems that run real business processes at scale. Build agents that learn from the work they do. Ema builds AI employees that carry out complex workflows across enterprise applications. Our ML team works on the loop that makes them better: production traces become data, data becomes training and evaluation, and better agents produce better traces. The hard part is deciding which intervention will improve behavior in the next real workflow. The problem space Harnesses and inference-time compute. Design context, tools, skills and orchestration for multi-step agents, including work across documents, slides, images, audio and video. Test where extra reasoning, search or verification earns its latency and cost. Build self-improvement loops with explicit permissions, evaluation gates and rollback. Agent post-training. Curate trajectories for SFT, optimize preferences, or run RL on real agent tasks. Investigate methods such as DPO, GRPO or DAPO where they fit; compare process and outcome supervision, shape rewards, and distill useful frontier behavior into smaller models. Measure whether gains transfer beyond the training environment. Environments and rewards. Turn enterprise workflows into reproducible training

Gong harnesses the power of AI to transform how revenue teams win. The Gong Revenue AI Operating System unifies data, insights, and workflows into a single, trusted system that observes, guides, and acts alongside the world’s most successful revenue teams. Powered by the Gong Revenue Graph, AI-powered intelligence, specialized agents, and trusted applications, Gong helps more than 5,000 companies around the world deeply understand their teams and customers, automate critical sales workflows, and close more deals with less effort. For more information, visit www.gong.io. At Gong, you will join a company built on innovative products, ambitious goals, and passionate people. We are shaping the future of revenue intelligence and we want people who are excited to build what comes next. You will work with a team that dreams big, moves fast, and cares deeply about the craft and about each other. Here, transparency and trust are core to how we operate, and every person has the opportunity to make a visible impact. If you want to grow, stretch, and do work that truly matters, Gong is the place to do the best work of your career. As a Senior Backend Engineer on Gong’s Agentic team, you will build and operate production-grade AI agents that interact directly with Gong’s customers. You will design and implement the backend systems that enable these agents to understand customer requests, reason over context and data, interact with tools and APIs, and take meaningful actions on behalf of customers. This is a new, high-impact team focused on building customer-facing agentic product experiences. You’ll work extensively in the agentic AI space, designing and building AI-powered applications that communicate with customers and solve real-world problems. The systems you build will combine LLMs, agents, tools, APIs, business logic, and Gong’s data to deliver useful and reliable customer experiences at scale. You’ll Own: Customer-Facing Agent Development: Designing, bui

About Sapience AI Sapience AI is the collective intelligence platform for professional communities. We sit above the CRMs, AMS platforms, and knowledge bases that organizations already run, and we turn the expertise scattered across them into something every member can search, act on, and share. The intelligence a community needs is already inside it. Most organizations just cannot reach it. Knowledge lives in silos, in legacy systems, in the heads of a few experts, and in fragmented records no one can connect. We change that. Our work is grounded in four commitments: technology elevates people and never replaces them, the best expertise is already inside the community, everything is built on trust, and every deployment is purpose-driven for the organization it serves. Let’s achieve more, together. Where this role sits This role owns how Sapience AI serves intelligence at scale. You build and run the inference infrastructure that turns the models and reasoning behind MINERVA and COGENT into fast, reliable, affordable answers for members. You work where models meet production: serving, scaling, latency, and cost. Every time a member asks the platform something, your systems are what make the answer arrive quickly and hold up under load. You sit close to applied AI, research, and platform engineering, and you make the difference between a model that works in a notebook and one that serves a community reliably. Why this role exists Collective intelligence is only useful if it is fast and dependable. Members will not wait, and communities cannot rely on a platform that buckles under load or costs too much to run. Serving modern AI at scale is a hard systems problem: large models, tight latency budgets, expensive hardware, and demand that spikes. It takes real infrastructure engineering to get right. The AI/ML Infrastructure and Systems Engineer owns that problem. You make inference fast, reliable, and affordable, so the intelligence the platform promises actually reache

About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Locations: Austin, TX, New York, NY, Seattle, WA About the Role Cloudflare One brings together secure access, network connectivity, and data protection. Our products generate massive amounts of signals about how people and agents access applications, use the network, and handle data—but a security practitioner needs more than isolated events. They need to understand what happened, whether it is unusual, why it matters, and what to inves

Why join us Brex is the intelligent finance platform that enables companies to spend smarter and move faster in more than 200 markets. By combining global corporate cards and banking with intuitive spend management, bill pay, and travel software, Brex enables founders and finance teams to accelerate operations, gain real-time visibility, and control spend effortlessly. Brex’s AI-native automation and world-class service eliminate manual expense and accounting tasks for customers so they can focus on what matters most. Tens of thousands of the world's best companies run on Brex, including DoorDash, Coinbase, Robinhood, Zoom, Plaid, Reddit, and SeatGeek. Working at Brex allows you to push your limits, challenge the status quo, and collaborate with some of the brightest minds in the industry. We’re committed to building a diverse team and inclusive culture and believe your potential should only be limited by how big you can dream. We make this a reality by empowering you with the tools, resources, and support you need to grow your career. Engineering at Brex Engineering at Brex is about building systems that scale with speed and intention. Our teams operate with high autonomy and deep collaboration, own outcomes end to end, and push for excellence from architecture to deployment. It’s an environment where engineering is a craft and builders grow by solving meaningful technical problems. What you’ll do The Identity and Access Management team builds and maintains secure, user-friendly authentication and authorization systems that protect users, safeguard company assets, and provide a seamless access experience for developers. The team owns critical platform capabilities including login methods, step-up authentication, our custom authorization platform, account delegation flows like Copilot, Pro Access login, embedded partnerships authentication, and core vendor integrations such as Okta and Oso. As a Senior Software Engineer on IAM, you will lead projects and initiatives

Why join us Brex is the intelligent finance platform that enables companies to spend smarter and move faster in more than 200 markets. By combining global corporate cards and banking with intuitive spend management, bill pay, and travel software, Brex enables founders and finance teams to accelerate operations, gain real-time visibility, and control spend effortlessly. Brex’s AI-native automation and world-class service eliminate manual expense and accounting tasks for customers so they can focus on what matters most. Tens of thousands of the world's best companies run on Brex, including DoorDash, Coinbase, Robinhood, Zoom, Plaid, Reddit, and SeatGeek. Working at Brex allows you to push your limits, challenge the status quo, and collaborate with some of the brightest minds in the industry. We’re committed to building a diverse team and inclusive culture and believe your potential should only be limited by how big you can dream. We make this a reality by empowering you with the tools, resources, and support you need to grow your career. Engineering at Brex Engineering at Brex is about building systems that scale with speed and intention. Our teams operate with high autonomy and deep collaboration, own outcomes end to end, and push for excellence from architecture to deployment. It’s an environment where engineering is a craft and builders grow by solving meaningful technical problems. What you’ll do The Identity and Access Management team builds and maintains secure, user-friendly authentication and authorization systems that protect users, safeguard company assets, and provide a seamless access experience for developers. The team owns critical platform capabilities including login methods, step-up authentication, our custom authorization platform, account delegation flows like Copilot, Pro Access login, embedded partnerships authentication, and core vendor integrations such as Okta and Oso. As a Senior Software Engineer on IAM, you will lead projects and initiatives

Why join us Brex is the intelligent finance platform that enables companies to spend smarter and move faster in more than 200 markets. By combining global corporate cards and banking with intuitive spend management, bill pay, and travel software, Brex enables founders and finance teams to accelerate operations, gain real-time visibility, and control spend effortlessly. Brex’s AI-native automation and world-class service eliminate manual expense and accounting tasks for customers so they can focus on what matters most. Tens of thousands of the world's best companies run on Brex, including DoorDash, Coinbase, Robinhood, Zoom, Plaid, Reddit, and SeatGeek. Working at Brex allows you to push your limits, challenge the status quo, and collaborate with some of the brightest minds in the industry. We’re committed to building a diverse team and inclusive culture and believe your potential should only be limited by how big you can dream. We make this a reality by empowering you with the tools, resources, and support you need to grow your career. Engineering at Brex Engineering at Brex is about building systems that scale with speed and intention. Our teams operate with high autonomy and deep collaboration, own outcomes end to end, and push for excellence from architecture to deployment. It’s an environment where engineering is a craft and builders grow by solving meaningful technical problems. What you’ll do The Identity and Access Management team builds and maintains secure, user-friendly authentication and authorization systems that protect users, safeguard company assets, and provide a seamless access experience for developers. The team owns critical platform capabilities including login methods, step-up authentication, our custom authorization platform, account delegation flows like Copilot, Pro Access login, embedded partnerships authentication, and core vendor integrations such as Okta and Oso. As a Senior Software Engineer on IAM, you will lead projects and initiatives

At Jamf, we believe in an open, flexible culture based on respect and trust. Our track record and thriving work environment all stem from the freedom we grant ourselves to get the job done right. We take pride in helping tens of thousands of customers around the globe succeed with Apple. The secret to our success lies in our connectivity, while operating with a high degree of flexibility. Work-life balance remains our priority while feeling connected is important to maintain our strong culture, achieve our goals, and thrive as #OneJamf. What you'll do at Jamf: The Software Engineer I is responsible for building tools required to help organizations succeed with Apple. Workclosely with the agile team to learn the appropriate designs and practices to build Jamf products. Collaborate with experienced Engineers, Product Management and leadership to understand priorities and how those help us solve problems. You may be required to work periodically at a Jamf office or collaborative work location with other Jamf employees in your area for certain events or moments that matter. What you can expect to do in this role : Independently complete a majority of identified tasks from start to finish with high quality and collaborate with more experienced Engineers when needed. Efficiently use available tools with minimal Demonstrate solid understanding of Engineering best Ask the right questions, solve problems and build great Partner with team to understand and communicate technical concepts with others in the organization (Technical Communication, Support, Product and Cloud). Performs well defined tasks wi

About Eulerity Eulerity is a rapidly growing technology company revolutionizing marketing automation for small businesses and franchises with our industry-leading proprietary software. Founded by leaders from Google, Facebook, and Yahoo! with more than 20 years of digital advertising, engineering, and marketing experience, we build tools that make enterprise-grade marketing accessible at scale. The Role We're looking for a Backend Developer with 1–3 years of experience to join our engineering team. You'll take an active role in building, testing, and maintaining the backend services that power our platform — and you'll do it with AI as a core part of your workflow, not an afterthought. This is a role for someone who's genuinely excited about what AI-assisted development makes possible and wants to push that further every day. What You'll Do Build, test, and maintain backend services across Eulerity's core platform Own features end-to-end — from design and implementation through deployment Use AI agents and LLM tooling to prototype, iterate, and ship faster Contribute product ideas and help shape the engineering roadmap Collaborate closely with cross-functional teams on features and releases Assist with documentation, system support, and knowledge sharing across the team About You 1–3 years of hands-on backend development experience, with at least 1 year building in Java You've actually used AI agents (Claude, Copilot, Cursor, or similar) to build, debug, and ship software — not just experimented with them Familiarity with LLMs, AI agent frameworks, or AI-assisted development workflows Comfortable integrating third-party APIs A strong drive to keep learning — especially when it comes to evolving AI tooling and how it applies to real engineering problems You think creatively about complex problems and enjoy finding elegant solutions A collaborative, communicative team player with a friendly, low-ego approach Requirements Based in the NYC tri-state area Available to wo

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. There is only one Data Cloud. Snowflake's founders started from scratch and designed a data platform built for the cloud that is effective, affordable, and accessible to all data users. But it didn't stop there. They engineered Snowflake to power the Data Cloud, where thousands of organizations unlock the value of their data with near-unlimited scale, concurrency, and performance. This is our vision: a world with endless insights to tackle the challenges and opportunities of today and reveal the possibilities of tomorrow. Our product offering runs on multiple cloud providers including Amazon Web Services, Microsoft Azure and Google Cloud. Our infrastructure self-optimizes, provides high availability and data protection across cloud providers so our users can focus on using their data, not managing it. Our team is called the Cloud Provisioning team, the core underpinning of what makes Snowflake work across multiple cloud providers. We are creating an abstraction layer between each of our cloud providers and the rest of Snowflake that is optimized for Snowflake's unique needs. We balance usability, cognitive load, performance, and cost for the rest of Snowflake. We are actively hiring talented distributed systems developers. This role is a unique opportunity to make a signifi

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. About the Team The Apps & Experiences (AppEx) organization powers the unified web user experience (Snowsight) for Snowflake. Every major Snowflake customer interacts with our platform through these surfaces, making AppEx central to both customer satisfaction and revenue growth. Within Appex, our team sits at the intersection of AI, platform, and user experience. We are on a mission to create an AI‑first, scalable, maintainable, and extensible UI platform from which all Snowflake user experiences can be built. The team owns: The serving layer that powers Snowsight, Snowflake CoWork, and UX features Developer tooling that enable our engineers to move fast and deliver Frontend infrastructure and shared services for product teams CI pipelines that ensure fast and reliable builds Testing and validation platform that maintains code and product quality The monitoring and logging stack that ensures observability and trust What You Will Do Snowsight is a large, complex single-page application serving interactive analytics, data engineering, and AI workloads. As our user base and feature surface grow, we must treat performance as a first-class citizen. You will own the strategy, build the tooling, and drive the culture needed to keep Snowsight fast, and you'll partner across our

SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars. SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next. ABOUT THE ROLE: The RL infrastructure team is looking for an engineer to help develop our evaluation infrastructure. RESPONSIBILITIES: Build highly reliable, efficient, and easy to use infrastructure that runs all our evaluations at scale Collaborate closely with modeling & evaluation teams on developing new evals, maintaining evaluation signal quality, and building internal tooling to support training our next-generation of models Identify and resolve performance bottlenecks in all layers of the eval infrastructure stack, including inference, capacity fleet management, asynchronous eval orchestration, and more BASIC QUALIFICATIONS: Experience in building, debugging, and optimizing efficiency of large-scale distributed systems Willingness to dive deep and solve hard problems at all levels of the stack PREFERRED SKILLS AND EXPERIENCE: Experience in LLM inference Experience in GPU compute management, workload scheduling, and dynamic resource optimization Experience in developing interfaces for comparing models and evals COMPENSATION AND BENEFITS: $180,000 - $440,000 USD Base salary is just one part of our total rewards package at SpaceXSI, which also includes equity, comprehen

It all started with an idea at Block in 2013. Initially built to take the pain out of peer-to-peer payments, Cash App has gone from a simple product with a single purpose to a dynamic ecosystem, developing unique financial products, including Afterpay/Clearpay, to provide a better way to send, spend, invest, borrow and save to our 50+ million monthly active customers. We want to redefine the world’s relationship with money to make it more relatable, instantly available, and universally accessible. Today, Cash App has thousands of employees working globally across office and remote locations, with a culture geared toward innovation, collaboration and impact. We’ve been a distributed team since day one, and many of our roles can be done remotely from the countries where Cash App operates. No matter the location, we tailor our experience to ensure our employees are creative, productive, and happy. The Role We build AI products, and the quality of our evaluations sets the ceiling for how good those products can be. The speed of our evaluations determines how quickly we can improve them. We are looking for an engineer to build the infrastructure and tooling that make high-quality AI evaluation possible at Block's scale. You will help teams understand whether a model or product change is actually better, whether a result is statistically meaningful, and whether offline evaluation is predicting what happens with real users. Our evaluation approach combines offline evals that encode our definition of a good response, online evals that show how people actually respond, and a feedback loop that keeps the two converging. Your work will turn that approach into systems that product teams can use quickly, reliably, and with confidence. This is a high-impact, early-stage area with broad surface area. You will help decide what to build first, then build the platform that helps teams ship better AI products faster. You Will Build an execution engine that can score candidate versions