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Location: San Francisco; Toronto; New York; Montreal; Seattle Workplace: Hybrid ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE We're looking for distributed systems engineers and product-minded generalists to build the distributed runtime that powers large-scale LLM inference on Baseten. Our inference platform empowers customers to deploy and operate cutting-edge models with industry-leading performance, scalability, and reliability. It also powers Model APIs, our hosted endpoints for the latest open-source models. You'll work across the stack, from the developer experience customers use to deploy models, through the libraries behind features like tool calling and reasoning, down to the systems that orchestrate deployments on Kubernetes and route traffic efficiently. Your job is to make sure every model on our platform is fast, reliable, and cost-efficient. You'll join a small, high-impact team at the intersection of distributed systems, model performance, infrastructure, and product, helping define how developers use AI models at scale. This role is ideal for engineers who enjoy owning systems in production, solving hard integration problems, and making complex infrastructure simple and reliable for users.   EXAMPLE INITIATIVES You'll get to work on these types of projects on our Inference Platform: - The Baseten Inference Stack at NVIDIA Dynamo Day https://www.baseten.co/blog/nvidia-dynamo-day-baseten-inference-stack/ - 2x faster inference with KV cache-aware routing https://www.baseten.co/blog/how-baseten-achieved-2x-faster-inference-with-nvidia-dynamo/ - How Baseten multi-cloud capacity management (MCM) unifies deployments https://www.baseten.co/blog/how-baseten-multi-cloud-capacity-management-mcm-powers-cloud-self-hosted-and-hybr/#comparing-deployment-options-cloud-vs-self-hosted-vs-hybrid RESPONSIBILITIES - Build the infrastructure and orchestration systems that deploy and run large-scale distributed LLM inference, including routing, autoscaling, scheduling, and runtime management. - Design, build, and operate Model APIs, with a focus on advanced inference capabilities: structured outputs (JSON mode, grammar-constrained generation), tool/function calling, and multimodal serving. - Implement platform fundamentals such as API versioning, validation, usage metering, quotas, and authentication. - Instrument deep observability (metrics, traces, logs) and build repeatable benchmarks for speed, reliability, and quality. Help set best practices for testing, release automation, and operational excellence. - Debug and harden complex production systems spanning Kubernetes, distributed runtimes, networking, and GPU workloads to improve reliability and scalability. - Partner with Inference Performance engineers and other teams to make new optimizations broadly available to customers and easy to configure. - Own projects end to end, from architecture through deployment, monitoring, and iteration on customer feedback. Along the way, make thoughtful tradeoffs between performance, reliability, operational simplicity, and developer experience.   REQUIREMENTS - Bachelor's, Master's, or Ph.D. in Computer Science, Engineering, or a related field, or equivalent practical experience. - 3+ years building and operating distributed systems, backend infrastructure, or large-scale APIs where reliability, latency, and scale are first-class concerns. - A proven track record of owning low-latency, reliable backend services, including rate limiting, auth, quotas, metering, and migrations. - Infrastructure instincts with a feel for performance: profiling, tracing, capacity planning, and SLO management. - Comfort debugging performance and reliability issues across multiple layers of the stack, from application behavior down to runtime and infrastructure internals. - A strong sense of developer experience. You think about how systems are used, not just how they work. - Eagerness to learn new languages, frameworks, and systems, and a real interest in inference engineering. Prior ML or LLM experience isn't required, though experience with model serving or inference systems is a plus. - Excellent written communication and collaboration skills, including writing clear design docs and working across functions.   NICE TO HAVE - Experience with or contributions to LLM inference engines and frameworks such as vLLM, SGLang, TensorRT-LLM, TGI, or Dynamo. - Deep Kubernetes experience, including operators and custom resources, plus familiarity with service meshes or API gateways. - Experience with distributed scheduling, autoscaling, or service orchestration. - Experience operating GPU workloads in production. - A background in developer-facing infrastructure or APIs, or contributions to open-source infrastructure or ML systems. - Familiarity with observability tooling, CI/CD systems, or release automation. BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

Location: San Francisco; Toronto; New York; Montreal; Seattle Workplace: Hybrid ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE We're looking for inference performance engineers who want to make the world's most demanding AI workloads run faster and more efficiently. You'll work across the stack, from the inference engine and runtime through scheduling, serving, and routing. Along the way you'll apply techniques like prefill/decode disaggregation, speculative decoding, and KV-cache management. You'll reason from first principles about where time and memory go, find what's holding performance back, and close the gap. Your work directly impacts how fast our customers' models run and how efficiently we serve them. This role is ideal for someone who thrives in a fast-paced startup environment and is eager to make significant contributions to the exciting field of LLM inference.   EXAMPLE INITIATIVES You'll get to work on these types of projects as an Inference Performance engineer: - Agentic Kernels in Production https://www.baseten.co/blog/agentic-kernels-in-production/ - How we built the new fastest API for GLM-5.2 https://www.baseten.co/blog/how-we-built-the-new-fastest-api-for-glm-52/ - Live draft model training for speculative decoding https://www.baseten.co/blog/live-draft-model-training-for-speculative-decoding/#eliminating-traditional-bottlenecks - Making Kimi K3 Tokenization 18x faster https://www.baseten.co/blog/making-kimi-k3-tokenization-18x-faster-for-million-token-agentic-workloads/ - The Baseten Inference Stack https://www.baseten.co/resources/guide/the-baseten-inference-stack/ - Driving model performance optimization https://www.baseten.co/blog/driving-model-performance-optimization-2024-highlights/ RESPONSIBILITIES - Implement and productionize cutting-edge inference techniques, working deep in runtime internals. That includes quantization, speculative decoding, KV-cache reuse, chunked prefill, LoRA, guided generation for structured outputs, and custom scheduling and routing algorithms. - Profile and optimize inference end to end, from kernel launch overhead and memory layout up to request scheduling, prefill/decode disaggregation, and cache-aware routing. Run cross-layer investigations, such as tracing a tail-latency regression from request timing through routing and batching down to a kernel. - Turn performance into cost savings. Improve tokens per GPU-hour, raise utilization, and give customers and internal teams clear latency/throughput/cost tradeoffs. - Bring up and tune new model architectures on new hardware quickly, often in the same week they're released. - Build benchmarking frameworks that measure real-world performance across model architectures, batch sizes, sequence lengths, and hardware configurations. - Contribute upstream to open-source inference engines (vLLM, SGLang, TensorRT-LLM), and partner closely with model, infrastructure, and customer-facing teams to ship wins.   REQUIREMENTS - Bachelor's, Master's, or Ph.D. degree in Computer Science, Engineering, Mathematics, or related field. - Experience with one or more general-purpose programming languages, such as Python or C++. - Familiarity with LLM optimization techniques (e.g., quantization, speculative decoding, continuous batching). - Strong familiarity with ML libraries, especially PyTorch, TensorRT, or TensorRT-LLM. - Demonstrated interest and experience in LLMs. - Deep understanding of GPU architecture.   NICE TO HAVE - Proficiency in enhancing the performance of software systems, particularly in the context of large language models (LLMs) - Contributed to vLLM, SGLang, TensorRT-LLM, or another inference engine. - Worked on large-scale distributed serving: autoscaling, load balancing, multi-region or multi-cloud capacity. - Written or optimized GPU kernels (CUDA, Triton, CUTLASS, or similar) - Worked on quantization (FP8/FP4, AWQ, GPTQ) or speculative decoding in production. - Deep understanding of software engineering principles and a proven track record of developing and deploying AI/ML inference solutions. BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

Location: Foster City, CA Workplace: Hybrid Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation. ABOUT THE ROLE We're looking for a Security Engineer with deep incident response experience to help defend Replit, a fast-moving, cloud-native AI vibe-coding platform. You'll be the person who takes charge when something goes wrong. You'll lead investigations from first signal to root cause, coordinate containment across Security, SRE, and Engineering, and keep stakeholders informed while the incident is moving fast. This isn't a pure responder role. We want a well-rounded security engineer who has run real incidents and wants to make the next one faster. You'll write the scripts, automations, and tooling that take manual work out of triage, evidence collection, and containment. You'll also turn lessons from each incident into better detections, playbooks, and platform hardening.   RESPONSIBILITIES Incident Response - Serve as incident commander or technical lead for security incidents, from detection and triage through containment, eradication, recovery, and post-incident review. - Coordinate response across Security, SRE, Engineering, Legal, and leadership. Drive decisions under pressure and keep a clear record of actions taken. - Communicate incident status, impact, and risk clearly to technical and executive audiences. - Participate in and help shape the security on-call rotation. Investigation & Forensics - Investigate suspicious activity across cloud infrastructure, containers, identity systems, and application layers using SIEM, Cloud Logging, telemetry, and host and container artifacts. - Determine scope, root cause, attacker behavior, and blast radius for confirmed incidents. - Quickly assess whether emerging threats (0-days, active exploitation campaigns, bug bounty findings, customer reports) apply to Replit, and whether we're already affected. IR Automation & Tooling - Build scripts, automations, and tools (Python, Go, Bash, or directly on Replit) that speed up response, such as automated enrichment, evidence collection, credential and session revocation, workload isolation, and alert triage. - Develop and maintain response playbooks and runbooks, and automate them where possible. - Integrate response workflows with SIEM, SOAR, ticketing, and chat tooling to cut time-to-contain. Detection & Continuous Improvement - Turn incident findings into new or improved detections, logging coverage, and visibility. - Lead blameless post-incident reviews and drive remediation items to completion. - Run tabletop exercises and simulations to test readiness and find gaps.   REQUIRED SKILLS & EXPERIENCE - Proven experience leading or serving as technical lead on security incidents in a cloud or SaaS environment. - Strong hands-on investigation skills with SIEM, cloud audit logs, and log-based analysis. Comfortable working through large datasets under time pressure. - Proficiency writing production-quality scripts or tools in Python, Go, or Bash for investigation and automation. - Solid knowledge of cloud architecture and security, especially Google Cloud Platform (IAM, audit logging, GKE, networking). - Working knowledge of Kubernetes and containers, including how to investigate and contain compromised workloads. - Understanding of identity systems, SaaS architectures, and common cloud attack paths (credential theft, privilege escalation, supply chain, token abuse). - Familiarity with software engineering fundamentals, CI/CD pipelines, and package ecosystems, so you can work effectively with Engineering on code-level fixes. - Understanding of IR frameworks and lifecycle (for example NIST 800-61), plus the vulnerability lifecycle and exploitability analysis.   PREFERRED QUALIFICATIONS - Experience building or operating SOAR or other response automation platforms. - Digital forensics experience with cloud, Linux hosts, or containers. - Experience with threat intelligence, threat hunting, or security research. - Experience with bug bounty programs or coordinated vulnerability disclosure. - Familiarity with detection-as-code practices and writing detection rules. - Experience in fast-paced, cloud-native, or AI/ML-driven environments. - Relevant certifications (such as GCIH, GCFA, GCFR), or equivalent hands-on experience. WHAT WE VALUE - Curiosity & initiative: Strong desire to understand attacker behaviors, emerging threats, and how they apply to real-world systems. - Speed & analytical rigor: Ability to quickly assess high-risk vulnerabilities with clear, evidence-based reasoning. - Collaboration: Comfort working across cross-functional teams spanning Security, SRE, Engineering, and Infrastructure. - Clear communication: Ability to explain findings, risks, and mitigation strategies to stakeholders at all levels. - Ownership mindset: Takes initiative to drive investigations, improvements, and remediations to completion. - Continuous learning: Passion for staying up to date on new vulnerabilities, exploit trends, and cloud-native security best practices. Full-Time Employee Benefits Include: 💰 Competitive Salary & Equity 💹 401(k) Program with a 4% match (US Only) ⚕️ Health, Dental, Vision and Life Insurance 🩼 Short Term and Long Term Disability 🚼 Paid Parental, Medical, Caregiver Leave 🏝 Flexible Time Off (FTO) + Holidays 🚗 Commuter Benefits (In-Office & US Only) 📱 Monthly Wellness Stipend 🧑‍💻 Autonomous Work Environment 🖥 In Office Set-Up Reimbursement (In-Office Only) 🚀 Quarterly Team Gatherings ☕ In Office Amenities (In-Office Only) Want to learn more about what we are up to? - Self-driving Company https://replit.com/blog/self-driving-company - Replit Agent at Scale https://replit.com/blog/evaluating-and-improving-agent-at-scale - AI Adoption https://replit.com/blog/ai-adoption - Build Open-Source Apps https://replit.com/build/open-source-app-builder   Interviewing + Culture at Replit - Operating Principles https://blog.replit.com/operating-principles - Reasons not to work at Replit https://blog.replit.com/reasons-not-to-join-replit To achieve our mission of making programming more accessible around the world, we need our team to be representative of the world. We welcome your unique perspective and experiences in shaping this product. We encourage people from all kinds of backgrounds to apply, including and especially candidates from underrepresented and non-traditional backgrounds.

Location: San Francisco Workplace: OnSite ABOUT US: AI NEEDS A NEW INFRASTRUCTURE LAYER. WE'RE BUILDING IT AT MODAL. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation. Our team includes creators of popular open-source projects (e.g.,Seaborn https://github.com/mwaskom/seaborn,Luigi https://github.com/spotify/luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. THE ROLE: Modal’s Inference Runtime team owns the container runtime stack used to run inference and training workloads across our fleet. We work at the boundary of Linux, containers, filesystems, storage, GPU drivers, and distributed systems. Our goal is to make demanding ML workloads start quickly, run efficiently, and remain securely isolated, whether they use a single GPU, hundreds of gigabytes of memory, or multiple GPUs connected with RDMA. We’re looking for a systems engineer who enjoys working deep in the stack. You’ll build production runtime infrastructure in Rust and Go, diagnose difficult Linux and performance problems, and help determine the architecture of Modal’s container platform. You’ll also work closely with maintainers of gVisor and contribute to the runtime itself when the right fix belongs upstream. WHAT YOU'LL WORK ON: - Make container startup, checkpoint, and restore dramatically faster for large inference and training workloads - Build multi-GPU and accelerator-aware snapshotting, including efficient handling of GPU memory and RDMA-enabled workloads - Design zero-copy and low-copy data paths between container memory, filesystems, storage, and Modal’s runtime - Optimize large snapshot pipelines using techniques such as parallel uploads, direct I/O, incremental snapshots, and more efficient memory handling - Improve container image and filesystem performance across EROFS, FUSE, page caches, overlay filesystems, and remote storage - Extend our sandboxed runtime to support new GPUs, drivers, profiling tools, and device capabilities across NVIDIA and AMD hardware - Debug complex failures involving system calls, virtual memory, process lifecycle, kernel behavior, GPU drivers, and container isolation - Safely roll out runtime and kernel changes across a heterogeneous fleet using compatibility controls, scheduling constraints, feature flags, and observability - Work across the runtime, scheduler, storage, and GPU infrastructure, and take ambiguous production problems from investigation through deployment YOU MAY BE A FIT IF: - You have strong Linux systems knowledge, particularly processes, virtual memory, filesystems, system calls, scheduling, namespaces, cgroups, and signals - You’ve built or debugged container runtimes, sandboxes, the Linux kernel, or similarly low-level infrastructure - You have strong programming ability in Rust, Go, or another systems language, and an interest in becoming productive in both Rust and Go - You’ve profiled and improved systems where memory movement, I/O, synchronization, or kernel interactions dominate performance - You’re comfortable debugging across abstraction boundaries, from application behavior down through runtimes, drivers, and the kernel - You can turn loosely defined production problems into well-designed, reliable systems - You want to own important infrastructure and work closely with both internal teams and customers NICE-TO-HAVE: Any of the following would be helpful, but none is required: - gVisor, runsc, runc, OCI runtimes, seccomp, or checkpoint/restore systems - Linux kernel development, virtualization, sandboxing, kernel modules, or device proxying - CUDA, ROCm, GPU drivers, accelerator virtualization, or GPU profiling - RDMA and high-performance networking - FUSE, EROFS, direct I/O, mmap, page-cache behavior, or storage engines - Large-memory or multi-GPU inference and training systems - Contributions to open-source systems software Prior gVisor or machine-learning experience is not required. We care more about strong systems fundamentals, curiosity, and the ability to learn unfamiliar parts of the stack. WHY THIS ROLE: The container runtime is directly on the critical path for inference performance. Improvements here can substantially reduce cold starts, increase token throughput, unlock new accelerator types, and make previously impractical workloads possible. This is an opportunity to work on unusually deep systems problems with immediate production impact. You’ll have room to shape the architecture, contribute to open-source runtime technology, and take ownership of foundational infrastructure used by every inference and training workload on Modal.

Location: San Francisco, CA • New York, NY 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 AI Research team at Figma is working on the cutting edge of AI and Design. We work on optimizing agentic systems for design quality and end user experience. We build robust evaluators for Design and post-train models. We are a very collaborative, close-knit and impact-focused team of researchers and research engineers working on some of the most challenging technical problems at the intersection of AI and creativity. We are seeking PhD interns with expertise in machine learning and artificial intelligence to develop innovative AI solutions for design and creative products. Through both fundamental and applied research, your work will contribute to new AI-driven features in Figma products. This internship can take place in Winter 2027 or Summer 2027 in San Francisco or New York. What you’ll do at Figma: Drive fundamental and applied research in Generative AI with Figma product use cases in mind Formulate and implement new modeling approaches both to improve the effectiveness of Figma’s current AI models as well as enable the launch of entirely new AI-powered product features Explore the boundaries of what is possible with the current technology set and experiment with novel ideas Depending on your project, you may have the opportunity to publish your research in leading AI/ML conferences We'd love to hear from you if you have: Are a 4th or 5th year senior Ph.D student in AI, Machine Learning, Computer Vision, Natural Language Processing, Human Computer Interaction or a related field Proven expertise in AI through publications on recent advancements in AI, such as Large Language Models or Agentic systems Track record in applying machine learning techniques to projects in academia or industry Experience in Python and machine learning frameworks (such as PyTorch, TensorFlow) Experience solving sophisticated problems and comparing alternative solutions, trade-offs, and diverse points of view to determine a path forward While it’s not required, it’s an added plus if you also have: Related industry experience via a past internship or full-time role Experience communicating your solutions effectively to different audiences Experience using AI-assisted development tools (e.g., GitHub Copilot, ChatGPT, Claude) to write, debug, and optimize code At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. Pay Transparency Disclosure This internship role is based in either Figma’s San Francisco or New York hub offices, and has the hourly base pay rate stated below.  Figma also offers interns a housing stipend and travel reimbursement. Figma’s compensation and benefits are subject to change and may be modified in the future. Internship $74 — $74 USD At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an equal opportunity workplace - we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status , or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to accommodations-ext@figma.com . These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities. Examples of accommodations include but are not limited to: Holding interviews in an accessible location Enabling closed captioning on video conferencing Ensuring all written communication be compatible with screen readers Changing the mode or format of interviews To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding. By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with Figma's Candidate Privacy Notice . Application limits: To help candidates focus on the opportunities most relevant to their skills and experience, Figma limits the number and frequency of applications. These limits apply to all roles: Candidates may submit up to 5 applications during any rolling 30-day period. Candidates may not reapply to the same role while an application is active or within 90 days of receiving a rejection. Once the applicable days has passed, candidates are welcome to apply again.

Location: San Francisco Workplace: OnSite ABOUT US: AI NEEDS A NEW INFRASTRUCTURE LAYER. WE'RE BUILDING IT AT MODAL. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation. Our team includes creators of popular open-source projects (e.g.,Seaborn https://github.com/mwaskom/seaborn,Luigi https://github.com/spotify/luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. THE ROLE: We’re hiring a Field Marketing Manager in San Francisco to build and run the programs that turn Modal’s target accounts into active customers. You’ll work closely with our Sales team to plan regional campaigns, run events for the engineers and technical leaders we sell to, and report on how those programs contribute to pipeline and revenue. This is a hands-on role for someone who has run account-based field programs at a technical company and wants to help shape the function as it grows. WHAT YOU’LL WORK ON: - Act as a strategic partner to Sales, aligning field programs with sales priorities and helping AEs create and accelerate pipeline in their territories - Develop and execute account-based programs for named accounts, working with Sales to identify key stakeholders and the right mix of touchpoints for each - Decide which industry conferences and sponsorships are worth investing in, and own what we bring, who we send, and whether we go back next year - Plan and host high-touch 1:1 and 1:few events for prospects and customers, such as executive dinners, roundtables, and technical workshops, in partnership with AEs - Own pre-event and post-event execution, including targeted invitations, meeting booking, and timely follow-up with Sales - Build co-marketing programs with VCs, accelerators, and ecosystem partners to reach their portfolio companies and customers - Track and report on program performance, including meetings booked, account engagement, and sourced and influenced pipeline, and use the results to plan future investment - Own the VIP experience at Modal’s flagship events, including our annual conference, Runtime - Build repeatable processes and playbooks as the team grows YOU MAY BE A FIT IF: - You have a track record of running field programs at a technical company and can point to specific ones and clear outcomes - You’ve worked directly with AEs and you’re happy sharing a number with them - You have good judgment about where to spend: a lot of sponsorships look better than they perform, and you can tell which is which - You’re organized and self-directed, and comfortable running many events, partners, and vendors at once - You’ve produced events across a range of formats, from small executive dinners to large conference sponsorships and brand events - You have strong attention to detail and a high bar for taste and the quality of every event and touchpoint - You’re comfortable with data and reporting, including CRM, attribution, and pipeline analysis - You’re familiar with ABM, intent data, and marketing automation tools - You’ve built AI into marketing workflows, such as account research, audience development, event operations, and reporting NICE-TO-HAVE: - Experience at an AI, developer tools, or cloud infrastructure company - Experience marketing to technical audiences such as engineers, ML teams, and technical executives - Experience bridging product-led and sales-assisted growth - Existing relationships with Bay Area VCs, accelerators, or AI communities

Beffio is an award-winning co-development studio working with international clients including Square Enix and Nike. The studio is looking for a Senior Technical Lighting Artist with strong Unreal Engine experience and a deep understanding of real-time lighting, rendering and environment systems. The role combines artistic lighting execution with technical troubleshooting. You will work closely with Art Directors, Lighting Artists, Technical Artists and Engineers to achieve high visual quality while maintaining performance across technically demanding Unreal Engine projects. Responsibilities: • Create, polish and troubleshoot real-time lighting setups in Unreal Engine • Work with dynamic Time of Day lighting systems • Configure and balance Directional Light, Skylight, Sky Atmosphere, Skybox and Exponential Height Fog • Work with Post Process Volumes, exposure and Local Exposure • Use Sequencer and Day Sequence Volumes to control lighting and Time of Day parameters • Diagnose lighting, rendering, exposure, shadow, fog, atmosphere and performance issues • Work with Lumen, Virtual Shadow Maps, Nanite, LODs, draw distances and light complexity • Navigate Blueprints to understand lighting and environment systems and identify potential issues • Work with levels, sublevels, World Partition, Data Layers and streaming • Collaborate with client-side Art, Lighting, Tech Art and Engineering teams Required Skills: • Strong professional experience with real-time lighting in Unreal Engine • Professional background as a Lighting Artist, Technical Lighting Artist, Technical Artist, Environment Artist with a lighting focus or similar role • Strong portfolio or reel demonstrating real-time lighting work in Unreal Engine • Deep understanding of Unreal Engine lighting workflows and rendering fundamentals • Practical knowledge of Time of Day systems • Strong understanding of direct lighting, skylight, atmosphere, fog, exposure, post-processing and shadows • Good knowledge of Lumen and its limitations across supported platforms • Knowledge of Virtual Shadow Maps, Nanite, LODs, draw distances and light complexity • Ability to navigate Blueprints, Sequencer, World Partition and Data Layers • Strong diagnostic and technical problem-solving skills • Ability to identify performance and rendering bottlenecks • Clear written English • Comfortable working in a fully remote, client-facing co-development environment Nice to Have: • Experience with dynamic Time of Day systems • Experience with large open-world or semi-open-world Unreal Engine projects • Experience profiling and debugging lighting and rendering performance • Strong cinematic and gameplay lighting sense • Experience with consoles or other performance-constrained platforms • Basic Blueprint scripting knowledge • Experience working closely with Technical Art and Engineering teams Conditions: • Fully remote work • Full-time cooperation • B2B or standard employment contract options • Work on technically demanding Unreal Engine projects • Direct impact on lighting quality, readability and rendering consistency • Collaboration with experienced international Art, Lighting, Tech Art and Engineering teams • Production-focused co-development environment • Opportunity to solve complex real-time lighting and rendering challenges • Annual team retreat focused on learning, alignment and team bonding

Location: Zomba About GiveDirectly What if the most effective way to fight poverty was also the simplest: give people money and trust them to decide what they need? Since 2011, GiveDirectly has proven that idea at scale. We’ve delivered more than $1B in cash directly to 2+ million people living in poverty and crisis across 15 countries, and rigorous research shows the results: healthier kids, stronger businesses, sturdier homes, and more resilient families and local economies. Cash is now widely recognized as one of the most scalable, cost-effective, and dignified forms of aid. Our ambition goes beyond our own programs. We want cash to become the benchmark for aid, much as the index fund became the benchmark for investing, so that every aid dollar is held to one question: is this doing more good than giving the money directly to people living in poverty? We’re growing fast, and this is a rare and important moment to join. We expect to hit $1B in revenue in 2026 with significant growth forecast for 2027. At the same time we are building a new technology stack and operating model designed for a roughly 10x change in scale, and we are actively pursuing partnerships with major funders to move even more money in bigger ways, to people who need it. We are known for our extensive integration of technology into field processes; our quantitative approach to performance measurement; and our commitment to rigorous, independent, experimental evaluation of our impact, with multiple Randomized Control Trials completed and others in progress. How we work Our team spans 20+ countries and 69 languages. Our culture is candid, analytical, and non-hierarchical. We expect high ownership and give people real responsibility early. Our values are central to how we hire, work, and grow, and they are deliberately opinionated: Recipients first. Recipients’ preferences come before those of donors or ourselves. Team next. We optimize for organizational success, not individual success. Be proactively candid. We say what we believe and share information openly. Create positive energy. We aim to be a source of energy for colleagues, not a drain. Think rigorously; act quickly. We reason from first principles, then act rather than debate. Know yourself and grow. We own our imperfections and seek feedback to grow. Accept reality. Propose solutions. We focus on what can change and bring solutions, not just problems. Be productively ambitious. We take risks for step-change impact, not incremental progress. If they describe how you like to work and they energize you, this could be a great fit. Want to learn more? Read and listen: We are one of Time100’s Most Influential Companies of 2026, and our work has been covered by The Economist , NPR , TED , and The Washington Post . We're now preparing to deliver billions of dollars a year to people in extreme poverty, if funding allows. Read our CEO's essay on what that will take. Location: This role is based in Zomba with significant travel expected to other Districts within Malawi. About this role: The Field Manager - External Relations will support GiveDirectly's government and external relations strategy, primarily at the district and local level, acting as the organization's on-the-ground representative to district authorities,community structures, NGO partners and private sector actors. Working closely with the Senior Manager - External Relations, this role ensures that GiveDirectly's work is well understood and well received— translating national-level strategy into consistent, trusted relationships on the ground. The role also contributes to the organization's broader understanding of the local operating environment by conducting regular political, economic, and social analysis, including tracking national economic trends and situations that could affect programming. The role rewards exceptional understanding of local and national government in Malawi, strong economic and analytical acumen, a highly autonomous working style, and the ability to develop strategically advantageous relationships. Reports to: Senior Manager - External Relations Level : Field Manager Travel Requirement: Regular travel required to conduct field visits across various Districts in Malawi. What you’ll do: Build and maintain strong working relationships with district-level officials (e.g., District Commissioner's office, relevant line ministries/departments), community leaders, non-governmental organizations). Identify and create opportunities for partnership and collaboration with public and private actors across the district. Scope new operational locations through fieldwork, relationship-building, and data gathering, and lead district entry processes and ongoing liaison for programme rollout and operations. Gather, synthesize, and interpret large volumes of qualitative and quantitative data to produce clear, well-structured reports that inform organisations decision-making. Monitor the prevailing political, economic, and social environment with particular focus on tracking and interpreting economic trends, conditions, and shocks that could affect programme delivery. Produce periodic briefs on the emerging economic and political situation to support decision-making by the organisation. Support local awareness-raising activities, community meetings, and information sessions about GiveDirectly's programmes. Work closely with field operations teams and programmes to ensure external relations activities are aligned with programme timelines and realities on the ground. Represent GiveDirectly at relevant district-level forums, coordination meetings, and community events. What you’ll bring: Exceptional alignment with GiveDirectly Values and active demonstration of our core competencies: emotional intelligence, problem solving, project management, follow-through, and fostering inclusivity. We welcome and strongly encourage applications from candidates who have personal or professional experience in the low-income and/or historically marginalized communities that we serve. Bachelor Degree in a relevant field Language Requirement: Professional fluency in English and Chichewa. Minimum of 3–4 years of experience in stakeholder engagement, government relations, or related partnership work, with a strong understanding of government protocols and diplomacy. Demonstrated skills in conducting independent research, synthesizing and managing data, and writing clear, structured reports. Strong judgement and the ability to take timely and appropriate action within complex  situations. Ability to independently identify local-level risks (political, social, security-related, or reputational) that could affect programme delivery or GiveDirectly's standing in the district. Strong communication, facilitation, and documentation skills, including the ability to engage high-level Government and Non-Governmental stakeholders diplomatically and respectfully. Ability to work independently in field settings, manage competing priorities, guarantee reliability and good work ethic. Working at GiveDirectly GiveDirectly is an Equal Opportunity Employer. All qualified applicants are considered for employment without regard to the person’s race, color, religion, national origin, sex, sexual orientation, age, marital status, veteran status, disability, or any other characteristic protected by applicable law. Flagging for US applicants: We invite you to " Know Your Rights " as an applicant. Commitment to Safeguarding As a global organization working with communities to eliminate extreme poverty, GiveDirectly takes the safeguarding of its recipients, staff, and partners seriously. To that end, GiveDirectly is a member of the Misconduct Disclosure Scheme , and will systematically check with previous employers about any abuse or misconduct related matters involving potential new hires. We may also employ other robust pre-hire screens, including in-depth reference checks, criminal background checks, and sanctions screens. These efforts help us continue to build and maintain trust with the communities we work with, and prevent abuse to our recipients and staff. **GD is committed to observing all local, national and international laws that protect people and basic human rights of all. GD is committed to a policy of “zero tolerance when it comes to preventing,  reporting, or responding to any form of abuse or  exploitation.” and expects anyone who works for GD to uphold the protection and safeguarding of our recipients as a priority.** Reasonable Accommodations We are committed to fostering an inclusive and accessible work environment. If you require any accommodations during the application or interview process, or to perform the essential functions of the role, please email us at careers@givedirectly.org with the email subject “Accommodation Needed”. We will work with you to ensure reasonable accommodations are made to support your needs. Want to put your best foot forward on your GiveDirectly application? Take a look at our Candidate Application Prep Guide ! Referrals Know the right person for this role? Please consider referring them . We offer a reward of $3,000 for a Senior Manager or above role, and $500 for a Manager role, paid if we end up hiring your referral. Thank you for sending great people our way!

Location: Poland; Ukraine; India Workplace: Remote Solvd Inc. is a rapidly growing AI-native consulting and technology services firm delivering enterprise transformation across cloud, data, software engineering, and artificial intelligence. We work with industry-leading organizations to design, build, and operationalize technology solutions that drive measurable business outcomes. Following the acquisition of Tooploox, a premier AI and product development company, Solvd now offers true end-to-end delivery—from strategic advisory and solution design to custom AI development and enterprise-scale implementation. Our capability centers combine deep technical expertise, proven delivery methodologies, and sector-specific knowledge to address complex business challenges quickly and effectively. We are seeking a highly analytical and commercially minded CRM Data Analyst to own customer data insights, data quality monitoring, and CRM performance analysis across EMEA. This role serves as the bridge between business and technical teams — ensuring that customer data is accurate, actionable, and trusted. You'll identify data inconsistencies, diagnose root causes, propose solutions, and transform complex data into insights that drive customer engagement and revenue growth. WHAT YOU'LL DO Salesforce Data Cloud (D360) - Validate and monitor customer data quality, identity resolution, attributes, audiences, and profile unification. - Investigate discrepancies in customer counts, audience composition, campaign targeting, and reporting outputs. - Identify data flaws, system gaps, and process inefficiencies impacting business performance. - Work with Global Engineering, Data, and Product teams to define and implement corrective actions. - Provide recommendations for improving customer data accuracy, availability, and usability. CRM & customer analytics - Analyze customer behavior, lifecycle performance, engagement, retention, and purchase trends. - Develop audience, segmentation, affinity, and customer value analyses to support CRM strategy. - Support customer personalization initiatives through actionable insights and recommendations. - Evaluate the effectiveness of CRM campaigns and customer journeys. Adobe Analytics & digital insights - Analyze website and digital customer behavior using Adobe Analytics. - Identify opportunities to improve conversion, engagement, and customer experience. - Partner with E-commerce and Product teams to understand customer journey performance and friction points. - Connect on-site behavior with CRM engagement and revenue outcomes. Reporting & visualization - Build and maintain Tableau dashboards used by CRM, Marketing, Product, and E-commerce stakeholders. - Develop automated reporting solutions to reduce manual effort. - Ensure data consistency across reporting platforms. - Present insights through clear and compelling visualizations tailored to different audiences. Stakeholder management - Partner closely with CRM, E-commerce, Product, Digital, Data Engineering, and Commercial teams. - Translate complex technical findings into business-friendly recommendations. - Facilitate discussions between business and technical stakeholders to align on priorities and solutions. - Influence decision-making through data-driven storytelling and clear communication. REQUIRED SKILLS & EXPERIENCE - Advanced hands-on experience with Salesforce Data Cloud (D360) — customer data models, identity resolution, segmentation, and audience creation. - Proven experience troubleshooting and investigating data quality issues at scale. - Strong experience with Salesforce Marketing Cloud (SFMC). - Advanced proficiency in Adobe Analytics. - Advanced proficiency in Tableau — dashboard creation and data visualization best practices. - Strong SQL skills and experience working with large-scale customer datasets. - Experience working with data warehouses such as Snowflake. - Exceptional stakeholder management skills — able to communicate effectively with both technical and non-technical audiences. - Comfortable challenging assumptions, raising data quality concerns, and influencing business decisions through data-backed recommendations. When you join Solvd, you'll… - Shape real-world AI-driven projects across key industries, working with clients from startup innovation to enterprise transformation. - Be part of a global team with equal opportunities for collaboration across continents and cultures. - Thrive in an inclusive environment that prioritizes continuous learning, innovation, and ethical AI standards. Ready to make an impact? If you're excited to build things that matter, champion responsible AI, and grow with some of the industry’s sharpest minds. Apply today and let’s innovate together. Solvd is an equal opportunity employer.

Own security for Wrike's business systems SaaS tools such as Salesforce, Marketo, Salesloft, and the integrations that connect them, covering permissions, sharing rules, connected apps, OAuth scopes, and integrations. Build and maintain clear visibility into what data lives in these systems, why it's there, and how it flows between integrated tools.

What you will be doing: Event Program Management:

Location: APAC; EMEA; Remote Roles - EMEA Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. About the Team The Compliance function at OKX is responsible for the overall compliance program and culture of the company. We’re a team of risk-minded problem solvers who advise the business on the company’s regulatory obligations and enterprise risk. About the Opportunity The successful candidate will have prior transaction monitoring/investigations experience in the financial services, FinTech or cryptocurrency industries. You will help support the Special Investigations team, focusing on analyzing blockchain data to identify potential illicit activities, money laundering and terrorist financing, involving cryptocurrencies. The job requires a mix of technical expertise, investigative skills, and knowledge of crypto markets and blockchain technology. What You’ll Be Doing Conduct in-depth investigations of complex AML cases, ensuring thorough analysis and adherence to regulatory requirements, through investigation of blockchain transactions to track and identify suspicious or illicit activities such as money laundering, and other criminal activities. Analyze data to identify process gaps and opportunities, and partner with Compliance, Training and other FIU stakeholders to recommend mitigating activities for risk and close process gaps. Evaluate AML transaction monitoring and suspicious activity reporting requirements for all countries where applicable. Collaborate with external partners, including financial institutions, government agencies, and blockchain companies, to share intelligence and insights. Work closely with law enforcement agencies, regulators, and legal teams to provide insights and evidence for criminal investigations. Stay abreast of changes to the cryptocurrency industry, financial crime trends, and regulatory requirements to assess impact to Transaction Monitoring. Support team training and knowledge sharing, fostering a collaborative environment focused on ongoing learning and professional growth. What We Look For In You 3-5 years of direct and strong technical experience in BSA/AML investigations and operations in relevant financial crimes, transaction monitoring and investigation roles. Demonstrated knowledge of BSA/AML, KYC regulations, risks and controls implementation globally. Strong understanding of blockchain technology, cryptocurrency protocols, and decentralized networks. Experience performing in a fast-paced environment and proven ability to meet deadlines. Self-motivated, critical thinker and adept at working independently and in a dispersed team environment covering multiple and varied tasks. Intuitive, highly ethical, and comfortable to question and challenge the status quo. Strong communication and presentation skills, both verbal and written. Proficiency in writing detailed investigative reports and communicating complex technical findings to non-technical stakeholders. Experience working independently and with team members of all levels. Nice to Haves Prior experience working in a multi-national or matrix environment. Familiarity with commonly used transaction monitoring & reporting tool(s), such as Solidus Labs, Chainalysis, or Elliptic. Relevant certifications in blockchain technology, digital forensics, or financial crime investigations such as CAMS, CFCS are a plus. Perks & Benefits Competitive total compensation package L&D programs and Education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependents More that we love to tell you along the process! Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Develop and execute territory account plans to achieve quota responsibilities for your team and the region through direct selling and partners.Â. Drive a best-in-class sales methodology framework which includes rigorous qualification and navigation of complex Federal deals.Â.

Location: New York, NY (HQ) Workplace: Hybrid ABOUT RAMP Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. ABOUT THE ROLE Our Employee Lifecycle team makes sure every Ramp employee has a great experience, from their first day through their last and through every change in between. As Sr. Analyst, Employee Lifecycle Data, you'll own and look after the employee data behind all of it. You'll keep our Workday data accurate and well structured, and you'll make sure it flows correctly into the systems that depend on it. This is a new role in its current scope. You'll own employee data changes from start to finish, manage the data structure that shapes our org, and set up reconciliation and error reporting across our integrations. We're looking for someone who gets the details right, finds the root cause when data breaks, and builds processes that scale as Ramp grows. We're moving to Workday on January 1, and we want this person on board before go-live so they can run our employee data changes from day one. WHAT YOU'LL DO Employee data changes - Process and approve role changes like transfers, promotions, manager and title changes, plus relocations (using our comp calculator for basic geo adjustments and partnering with Global Mobility on more complex moves) - Own intake and completion of one-off data changes through Serval (our ticketing system) tickets, meeting SLAs and giving employees a clear, helpful experience - Review and approve data change transactions to protect data quality - Support internal mobility cycles and position management in Workday (and Ashby) Bulk changes - Own bulk data changes from start to finish, including reorgs, comp cycles and mass updates: prepare and validate the data, run the loads and confirm the results - Build review steps and checklists that make large changes repeatable and low-risk, and partner with HRIS on EIB templates and system-level controls Data quality, reconciliation and stewardship - Build and run regular reconciliation between Workday and downstream systems, including benefits providers and international payroll - Monitor integration errors, find root causes and fix data and process gaps with HRIS, Payroll, Benefits and vendor partners, escalating system or integration fixes to HRIS with clear root-cause analysis - Define and document data standards, ownership and controls for employee data, and run regular audits to find and fix issues in partnership with HRIS team - Be the go-to expert on how employee data works at Ramp, and help teammates and partners understand it WHAT YOU NEED - 2-5+ years of experience in HR operations, HRIS, or HR data roles - Experience with data changes in Workday HCM, including the ability to manage employee data throughout the full employee lifecycle - processing employee changes, organizational updates, job changes, and audits. - A solid understanding of payroll and benefits data, and of how HRIS integrations feed those systems. - A track record of building reconciliation, audit or error-reporting processes from scratch - Strong attention to detail, a habit of checking your work before and after changes, and sound judgment with sensitive, confidential employee data - Advanced Excel/Google Sheets skills for data analysis, validation and reconciliation, plus sound judgment when using AI tools—knowing when to rely on them and when human review is essential - Clear communication with employees and stakeholders at every level - A process-improvement mindset: you fix the underlying cause of what breaks repeatedly, and build scalable processes that uphold data standards while enabling the business NICE TO HAVES - Experience at a fast-growing company where the org structure changes often - Experience with Serval, JIRA, or similar service desk tools - Experience with Workday reporting - SQL skills BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL) - Flexible PTO - Centralized home-office equipment ordering - Health and wellness stipend - Budget for intra-office travel - Weekly coffee stipend UNITED STATES - 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents - One Medical annual membership - 401(k), including employer match on contributions made while employed by Ramp - Fertility HRA (up to $10,000 per year) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay - Pet insurance - In-office perks: lunch, snacks, drinks, and more - Relocation expense coverage to NYC or SF (if needed) CANADA - Group medical, dental, and vision coverage through Sun Life - Life, AD&D, and disability coverage - Fertility drug coverage (up to $4,000 lifetime) - Group Retirement Plan with employer match (RRSP + DPSP) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay - Employee Assistance Program and virtual care through Lumino Health UNITED KINGDOM - Private medical insurance through Freedom Elite - Virtual GP and at-home care via eMed x Livi - Workplace pension through Penfold, with salary sacrifice option - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay REFERRAL INSTRUCTIONS If you are being referred for the role, please contact that person to apply on your behalf.   OTHER NOTICES Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.   Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.   Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice

What you’ll do: Own backend architecture across two large-scale microservice platforms (30+ and 25+ services) — from system design and API contracts to data flow and inter-service communication. Drive performance and scalability — identify bottlenecks, design caching strategies, optimize database queries, and ensure the platform handles growing load.

Own the technical strategy and long-term architecture for Smartsheet’s financial systems ecosystem across ERP, procurement, financial planning, payments, billing, tax, revenue processes, integrations, data, automation, and AI.

Location: San Francisco, California Workplace: Hybrid 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 You’ll own AI-assisted coding within Sentry’s Platform Engineering organization, building the systems and workflows AI coding agents need to contribute reliably to our codebase. Your work will span engineering teams, with Developer Infrastructure as your home base. Your first focus will be making internal developer systems accessible to agents. Many workflows currently depend on human interaction through a UI. You’ll identify the most valuable gaps, expose those capabilities through APIs, and connect tools such as Claude Code to complete development workflows. From there, you’ll improve the quality of AI-generated pull requests and automate recurring engineering work, including dependency upgrades, minor bug fixes, and maintenance. You’ll build the context and execution environment agents need: relevant repository information, tools and permissions, state management, tests, logs, recovery mechanisms, and evaluations. You’ll partner with engineers across Sentry to understand where agents succeed, where they fail, and which changes improve the development process. This role combines technical direction with hands-on implementation, from choosing the problems to solve through building, measuring, and improving the solutions. This role is based in San Francisco, with three days per week in the office to work closely with Platform teams and engineering leadership. WHAT YOU’LL DO - Set priorities for AI-assisted development at Sentry, using engineer feedback and workflow data to identify where agents would provide the most value. - Make internal developer systems accessible through APIs and build integrations enabling agents to complete workflows across those systems. - Build context systems and agent execution tooling, including tool access, permissions, checkpoints, retries, and logging. - Develop automated checks, evaluations, and feedback loops to improve the correctness, maintainability, and review readiness of AI-generated pull requests. - Automate recurring work such as security dependency upgrades, minor bug fixes, and routine maintenance. - Improve supporting developer workflows, including issue triage and CI/CD, where they limit agent effectiveness or create repetitive work for engineers. - Lead changes across engineering teams, build agreement on priorities, and measure whether the tools reduce manual work and improve delivery. HOW YOU WORK - You’ve used AI coding agents on real development work and have informed views on their strengths, limitations, and failure modes. - You bring structure to ambiguous problems, choose a practical starting point, and follow through on delivery. - You move comfortably between infrastructure, backend systems, and developer tooling. - You know when to build, integrate an existing tool, involve another team, or stop work with limited value. - You combine data with direct feedback from engineers to assess whether a solution improves their work. - You explain technical tradeoffs clearly and build alignment across teams and senior leadership. QUALIFICATIONS - 10+ years of software engineering experience, including hands-on ownership of production systems. - Experience building developer tools, infrastructure, or automation used by engineering teams, such as CI/CD systems, internal APIs, code review tooling, or agent workflows. - Hands-on experience using AI coding tools and agents, with an understanding of how context, tool access, and validation affect their output. Prior machine learning experience is not required. - Strong software engineering and system design fundamentals, including experience building reliable integrations across systems. - A track record of leading cross-team technical initiatives from problem definition through implementation and adoption. - Clear written and verbal communication, including explaining technical decisions and recommendations to senior engineering leaders. NICE TO HAVE - Experience building agent harnesses, context systems, evaluations, or automated pull request workflows. - Experience with code review tooling, static analysis, or automated testing. - Experience measuring and improving developer experience or engineering productivity. - Experience with large-scale distributed systems or monolith decomposition. - Public contributions to developer tooling or AI-assisted development projects. The base salary range that Sentry reasonably expects to pay for this position is $220,000 to $400,000 USD, plus an annual performance bonus of up to 15% of base salary. A successful candidate’s actual base salary (or hourly wage) amount will be determined by a variety of relevant factors including, without limitation, the candidate’s work location, education, work and other relevant experience, skills, and job-related knowledge. A successful candidate will be eligible to participate in Sentry’s employee benefit plans/programs applicable to the candidate’s position (including incentive compensation, equity grants, paid time off, and group health insurance coverage). See Sentry Benefits https://sentry.io/careers/ for more details about the Company’s benefit plans/programs. EQUAL OPPORTUNITY AT SENTRY Sentry is committed to providing equal employment opportunities to its employees and candidates for employment regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, or other legally-protected characteristic. This commitment includes the provision of reasonable accommodations to employees and candidates for employment with physical or mental disabilities who require such accommodations in order to (a) perform the essential functions of their jobs, or (b) seek employment with Sentry. We strive to build a diverse team, with an inclusive culture where every teammate can thrive. Sentry is an open-source company because we believe that everyone, everywhere, should have the ability and tools to make great software. Software should be accessible. That starts with making our industry accessible. If you need assistance or an accommodation due to a disability, you may contact us at accommodations@sentry.io. Want to learn more about how Sentry handles applicant data? Get the details in our Applicant Privacy Policy https://sentry.io/careers/applicantprivacy/.

Location: Warsaw, Mazowieckie, Poland; Sofia City, Bulgaria; Limassol, Cyprus Workplace: hybrid We are a leading trading platform that is ambitiously expanding to the four corners of the globe. Our top-rated products have won prestigious industry awards for their cutting-edge technology and seamless client experience. We deliver only the best, so we are always in search of the best people to join our ever-growing talented team. As a Technical Product Operations Manager, you will own the work that moves our platform forward but does not fit inside any single team. Our engineering organisation is split across several tribes, each with its own services, roadmap and release cadence. Platform migrations, retiring shared dependencies, standardising how every squad works and rolling out new engineering practices all cut across those boundaries, and you will be the person who holds that work end to end. You will run cross-team technical programs, help drive and improve the engineering processes everyone relies on, and make sure both are backed by real data rather than assumptions. This is not a people management role, and you will not write production code. You do need to be technical enough that engineers treat you as a peer. The role is broad and hands-on. In a typical week you might sequence a Kafka topic migration across four squads, fix a company-wide process that keeps stalling at the same step, pull numbers from a database to settle a question about impact, and ship a small automation that removes a recurring manual task for the whole department. Continuous improvement and AI are central to the role: you will constantly look for better ways for engineering to work and apply AI where it clearly improves throughput, quality or speed. Responsibilities: Run cross-team technical programs such as platform migrations, dependency removals, standardisation initiatives, decommissioning, and large infrastructure changes. For each one, break broad goals into sequenced plans with named owners. Find the right decision-makers when ownership is unclear, facilitate technical discussions (including where squads disagree), and secure clear decisions with committed dates. Maintain a single, accurate view of each programme's phase, blockers, owners, and delivery dates. Raise conflicts between sources rather than smoothing them over. Produce concise, accurate status reporting that engineering leadership can act on. Drive and improve company-wide engineering processes, such as tech design review. This means sharpening the processes already live, establishing new ones where needed, and running their cadence, templates, queues, and follow-through. Gather feedback from engineers and separate friction worth removing from friction that serves a purpose, then turn the findings into concrete process changes. Instrument processes so their health is measured rather than assumed, for example review turnaround time, rework rate, or how often work reaches build without a required decision. Query data directly using SQL, dashboards, and APIs, and reconcile what Jira reports with what systems actually show. Identify recurring manual work across engineering and automate it, using AI where it adds real value, then measure whether the automation delivered actual savings. Build lasting assets such as playbooks, templates, runbooks, automated reporting, and agent workflows that keep working after each programme ends, and help colleagues adopt the AI practices that work. Requirements: Degree in STEM or other quantitative field. Minimum 4 years of experience in technical programme management, engineering operations, or delivery management within a high-performance software engineering environment. Proven track record of delivering cross-team technical programmes in a multi-team organisation. Strong technical understanding of modern software systems, including services, deployments, queues, metrics, Kubernetes, Kafka, CI/CD, releases, and rollbacks. Ability to read architecture diagrams, tech design documents, and ADRs, and judge whether they are ready for review. Proficiency in SQL and comfort working with dashboards, APIs, and Jira. Practical experience using AI tools to improve personal and team productivity. Strong stakeholder management and facilitation skills, with the confidence to drive decisions where ownership is unclear. Clear, concise written communication for senior audiences. Strong ownership mentality: proactive, accountable, and execution-focused. What Will You Get in Return?   •  Competitive Salary: We believe great work deserves great pay! Your skills and talents will be rewarded with a salary that makes you feel valued and motivated. •  Work-Life Harmony: Join a company that genuinely cares about you - because your life outside of work matters just as much as your time on the clock. #LI-Hybrid •  Generous Time Off: Need a breather? Our annual leave policy lets you recharge and enjoy life outside of work without a worry. •  Employee Referral Program: Love working here? Share the love! Bring your talented friends on board and get rewarded for growing our awesome team. •  Comprehensive Health & Pension Benefits: From medical insurance to pension plans, we’ve got your back. Plus, location-specific benefits and perks! •  Workation Wonderland: Live your digital nomad dreams with 30 extra days to work remotely from anywhere in the world (some restrictions apply). Adventure awaits! •  Volunteer Days: Make a difference! Take two additional paid days each year to support causes you care about and give back to the community.   Be a key player at the forefront of the digital assets movement, propelling your career to new heights! Join a dynamic and rapidly expanding company that values and rewards talent, initiative, and creativity. Work alongside one of the most brilliant teams in the industry.