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Location: Argentina; Brazil; Colombia; Mexico; Chile; Panama About Huzzle At Huzzle, we connect high-performing professionals with global companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms in industries like SaaS, MarTech, FinTech, and EdTech. We match top talent to full-time remote roles where they’re hired directly into client teams and provided ongoing support by Huzzle. Role Type: Full-time Engagement: Independent Contractor Job Summary Huzzle is hiring an experienced Automation Engineer for an exciting remote opportunity with a growing company focused on operational excellence and digital transformation. This role is ideal for professionals passionate about building scalable systems, streamlining workflows, and creating efficient automation solutions that improve business performance. As an Automation Engineer, you’ll design, develop, and optimize automated processes across business and technical environments. You'll collaborate with cross-functional teams to identify inefficiencies, integrate tools, and build automation workflows that reduce manual effort and increase productivity. Key Responsibilities Design, build, and maintain automated workflows and systems. Analyze existing business processes and identify automation opportunities. Develop integrations between platforms, applications, CRMs, and internal tools. Create and optimize automation using platforms such as Zapier, Make, APIs, or custom scripts. Collaborate with operations, sales, customer support, and engineering teams to improve processes. Troubleshoot automation failures and monitor system performance. Document automation workflows, configurations, and best practices. Ensure scalability, reliability, and security across automation systems. Continuously research new tools and automation technologies. Requirements 2+ years of experience in automation engineering, systems operations, workflow automation, or related roles. Experience with workflow automation tools such as Zapier, Make, n8n, Power Automate, or similar platforms. Familiarity with APIs, webhooks, and third-party integrations. Basic scripting knowledge (JavaScript, Python, or similar languages preferred). Experience working with CRM platforms and business systems. Strong troubleshooting and analytical skills. Excellent communication and collaboration abilities. Ability to manage multiple projects in a fast-paced remote environment. Experience with AI tools, automation agents, or process optimization is a strong advantage. Benefits 💻 Fully Remote: Work from anywhere with international teams 🧭 Ongoing Support: Receive guidance from Huzzle before and after placement 💰 Tailored Compensation: Salaries vary by client and candidate preference — we’ll match you with options that fit your goals 🚀 Work with innovative companies adopting cutting-edge technology. 📈 Long-term career progression and growth opportunities. 🧠 Exposure to automation platforms, AI tools, and emerging technologies. 🤝 Collaborative international team environment. 🎯 Opportunity to build high-impact systems used across multiple departments.

Location: India; Pakistan; North Macedonia; Bulgaria; Romania; Bosnia and Herzegovina About Huzzle At Huzzle, we connect high-performing professionals with global companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms in industries like SaaS, MarTech, FinTech, and EdTech. We match top talent to full-time remote roles where they’re hired directly into client teams and provided ongoing support by Huzzle. Role Type: Full-time Engagement: Independent Contractor Job Summary We’re hiring an experienced Automation Engineer for an exciting remote opportunity with innovative companies building scalable systems and operational workflows. This role is ideal for someone with 2+ years of experience creating automations, integrating systems, and streamlining business processes across sales, operations, customer support, and internal workflows. You’ll work with modern automation platforms and tools to build solutions that eliminate repetitive tasks, improve efficiency, and create seamless integrations across multiple business systems. Key Responsibilities Design, build, test, and maintain automated workflows and business process automations. Develop integrations between platforms using APIs, webhooks, and third-party tools. Build and optimize workflows using automation platforms such as Zapier, Make (Integromat), n8n, Power Automate, or similar tools. Collaborate with cross-functional teams to understand workflow requirements and identify automation opportunities. Troubleshoot workflow failures, errors, and integration issues. Create documentation for automation processes and system configurations. Monitor and improve automation performance, scalability, and reliability. Support CRM, operations, sales, and customer-facing teams with automation initiatives. Stay updated with emerging automation technologies and best practices. Requirements Minimum 2+ years of experience in automation engineering, workflow automation, systems integration, or related roles. Experience with tools such as Zapier, Make, n8n, Power Automate, HubSpot, Salesforce, or equivalent platforms. Strong understanding of APIs, webhooks, and software integrations. Familiarity with CRM systems and operational workflows. Basic scripting or coding experience (JavaScript, Python, SQL, or similar) is a plus. Strong troubleshooting and analytical skills. Experience working with cloud applications and SaaS tools. Excellent communication and documentation skills. Ability to manage multiple projects and priorities in a remote work environment. Benefits 💻 Fully Remote: Work from anywhere with international teams 🧭 Ongoing Support: Receive guidance from Huzzle before and after placement 💰 Tailored Compensation: Salaries vary by client and candidate preference — we’ll match you with options that fit your goals 🚀 Work with innovative companies adopting cutting-edge technology. 📈 Long-term career progression and growth opportunities. 🧠 Exposure to automation platforms, AI tools, and emerging technologies. 🤝 Collaborative international team environment. 🎯 Opportunity to build high-impact systems used across multiple departments.

Location: Latin America Company Intro At Toloka AI we create data that powers leading GenAI models and innovations. We work with frontier labs, big tech, renowned AI startups, enterprises and non-profit research organizations worldwide. We use a combination of Experts + Crowd + Tech Platform to teach AI models to reason and evaluate their efficacy and safety. We have experts in more than 50 different domains—from doctors and lawyers to physicists and engineers—and boast one of the most diverse global crowds, representing over 100 countries and speaking 40+ languages . We are a well-funded startup with an enviable portfolio of clients including Anthropic , Amazon , Microsoft , Poolside , Recraft ,  and Shopify . Recently, we secured strategic investment led by Bezos Expeditions and Nebius Group with participation from Mikhail Parakhin , CTO of Shopify and board advisor to leading GenAI companies, who now serves as our Chairman of the Board. Our remote-first team is globally distributed around the world: USA , UK , the Netherlands , Israel , Czech Republic , Serbia , and more. About the Role Technical consultants play a key role in our company, ensuring top-level delivery of our product, its correct configuration, and the deployment of tailored AI data solutions that meet our customers’ needs and deliver an exceptional experience working with us. As part of this role, you will not only design and implement data labeling pipelines but also act as a trusted technical advisor for our customers - helping them understand their data needs, discover new opportunities, and build scalable AI solutions. We are looking for a person with more than 3 years of solid technical background, who feels comfortable working in technical environments, solving data-related tasks using Python and AI, and communicating directly with customers. You should be a confident communicator able to engage with both technical and executive stakeholders and collaborate closely with our commercial team. Responsibilities 1. Client Ownership & Communication Act as the primary technical point of contact for customers across technical and executive stakeholders. Lead discovery conversations to deeply understand client goals, problems and quality criteria. Translate client needs into clear, actionable solution designs and delivery plans. Advise customers on best practices in data collection, data quality, evaluation, and model training workflows. Set expectations proactively, communicate progress regularly, and manage risks and trade-offs transparently. Identify expansion opportunities and additional ways Toloka can create value through data and AI solutions. 2. Solution Design & Delivery Design end-to-end data solutions using Toloka’s platform, selecting appropriate components, workflows, and quality controls. Configure data labeling components and quality controls, develop user interfaces and AI-driven tooling (e.g. agentic systems, RAGs, synthetic data generation), and integrate them into end-to-end automated pipelines for AI training and evaluation. Run experiments and pilots to validate quality, throughput, and cost assumptions. Lead technical execution during delivery, coordinating internal teams and external stakeholders as needed. Ensure solutions meet agreed quality, performance, and scalability requirements. 3. End-to-End Ownership & Project Management Own delivery outcomes holistically - including technical performance, quality, timelines, and financial efficiency. Monitor key KPIs (e.g. throughput, quality metrics, Gross Margin, Contribution Margin) and act on deviations. Prioritize work based on customer impact and business value. Analyze data to identify failure modes, inefficiencies, and opportunities for improvement. Continuously optimize solutions through iteration, automation, and adoption of new technologies. Troubleshoot delivery, process, or technical issues in collaboration with support, infrastructure, and product teams. Drive solutions toward stable operation with minimal ongoing maintenance. Requirements Core Experience Experience as a Solution Engineer, Technical Solutions Engineer, Data Scientist, Data/Systems Analyst, or Technical Project Manager. Proven experience owning projects end-to-end, including scoping, delivery, and stakeholder management. Direct experience working with external customers on technical projects (requirements gathering, delivery, iteration). Technical Skills Strong Python skills for data manipulation (e.g. NumPy, pandas), natural language processing (e.g. NLTK, spaCy), and building lightweight web services or tools (e.g. FastAPI, Flask). Solid understanding of ML concepts and data workflows; familiarity with LLMs and prompt engineering is a strong plus. Experience designing multi-stage pipelines and complex systems. Understanding of software development fundamentals: version control, testing, MVPs, iterative development etc.. Bachelor’s or Master’s degree in Data Science, ML/AI, Software Engineering, or a related quantitative field such as Physics or Applied Mathematics, with strong analytical foundations. Ability to reason about trade-offs between quality, speed, cost, and scalability. Communication & Ownership Excellent English communication skills (B2+), with the ability to explain complex technical concepts to non-technical audiences. Confidence working with data engineers, ML engineers, and researchers from leading tech companies. Strong ownership mindset: comfortable being accountable for outcomes, not just tasks. Ability to manage multiple projects in fast-paced, ambiguous environments. Nice to have Experience with crowdsourcing, expert workflows, or large-scale data labeling. Experience working on ML training, evaluation, or agentic systems. Familiarity with quality frameworks, audits, or data validation pipelines. [Important Notice] Scam Alert Regarding Fake Job Postings It has come to our attention that an individual or group is fraudulently impersonating Toloka to post fake jobs and solicit personal information from applicants.Please be aware: Official Communication: Our recruiting team will only contact you from an official " toloka.ai " email address. We will NEVER use Gmail, Yahoo, Tolokainc, toloka.inc,  or other personal or seemingly business email accounts. Our Process: We will never ask for your bank account details, credit card number, or any fees as part of the application or interview process. Official Listings: All legitimate job openings are posted on our official careers page: https://toloka.ai/careers#job-list What to do: If you see a suspicious job posting or have been contacted by someone you suspect is a scammer, please do not provide any personal information. Instead, report the incident to us directly at security@toloka.ai and report the profile/post to LinkedIn.We are taking this matter very seriously and are working with the appropriate parties to resolve it. Thank you for your vigilance!

Location: Remote - United States Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . The Media Foundation’s mission is simple: Delivering seamless, high-performance media experiences that meet and exceed industry standards, ensuring unparalleled engagement across all platforms at Reddit. Media is the most engaging medium on Reddit, whether it’s for posts, comments, or ads. This is a pivotal role within the Media Foundation team, essential to shaping Reddit's media experience across all devices. We are seeking a stellar engineer with a deep understanding of scalable media solutions who can drive innovation, deliver top-tier video experiences to our users, and guide other teams in seamlessly integrating with our video API. This role not only involves building robust media capabilities but also contributing to the growth and strength of our media engineering team as Reddit continues to scale. This is a high impact role where you will drive related technical & product strategy, operations, architecture, and execution for one of the largest sites in the world. What You Will Do Architect a highly modular, easy-to-integrate iOS video player that enables other teams to build features effortlessly while delivering first-class performance for users. Partner with backend media infrastructure and CDN teams to optimize global delivery and performance. Work cross-functionally with product, design, and other engineering counterparts to execute on product and business strategy and build novel media products and features that our users will love. Work with a team of thoughtful, fast-moving, and motivated engineers. Set and define standards that improve developer workflows, recommend best practices, and help coach and mentor engineers on the team to further their professional development. Utilize AI-assisted development tools to accelerate prototyping, system design, and coding, while applying rigorous judgement to validate and own the final outputs. Qualifications At least 8+ years of experience as a software engineer developing user-facing iOS mobile native applications at scale, using Swift. In-depth knowledge of AVFoundation for video and audio playback, asset management, streaming, editing, and exporting capabilities. Strong understanding of Core Media for timing and synchronization and Core Video for buffer handling, essential for custom playback and real-time video manipulation. Familiarity with HTTP Live Streaming (HLS), MPEG-DASH, MP4, and other streaming protocols, as well as working knowledge of streaming frameworks and CDN integration for optimized video delivery. Familiarity with reactive frameworks (RxSwift, Combine) Strong organizational skills, the ability to prioritize tasks and to deliver projects on schedule. BS degree in Computer Science, a similar technical field of study or equivalent practical experience. Entrepreneurial spirit. You are self-directed, innovative, and biased towards action in fast-paced environments. You love to build new things and thrive in ambiguity and even failure. Excellent communication skills. You collaborate effectively with teams in a fully remote environment and discuss complex topics with technical and non-technical audiences. Benefits: Comprehensive Healthcare Benefits and Income Replacement Programs 401k with Employer Match Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support Family Planning Support Gender-Affirming Care Mental Health & Coaching Benefits Flexible Vacation & Paid Volunteer Time Off Generous Paid Parental Leave Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/ . To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base salary range for this position is: $217,000 — $303,000 USD In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable.  We will not sell your personal information or disclose it to any third party for their marketing purposes.  We will delete any recording of your interview promptly after making a hiring decision.  For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors . Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve.  Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

Location: San Francisco; Remote; Toronto; New York; Montreal 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 As a Site Reliability Engineer at Baseten, you'll define and codify the gold standards of day 2 operations for our ML infrastructure platform. You'll envision and build robust systems, processes, automations, and observability tooling that keep our platform reliable at scale — and that empower the broader organization to operate confidently. You'll work closely with engineering, forward-deployed and product teams: learning from recurring failure patterns, turning tribal knowledge into automated mitigations, and raising the operational floor for the entire company. EXAMPLE INITIATIVES You'll work on projects like these as part of the SRE team: - Improve Baseten SRE Practices, by instrumenting SLOs and SLIs, improving alerting and observability for all services. - Building AI-assisted tooling for incident triage and response. RESPONSIBILITIES - Own the reliability of Baseten's multi-cloud Kubernetes infrastructure, including incident response, post-mortems, and remediation tracking. - Build and maintain observability infrastructure — metrics, logging, dashboards, and alerting — as code. - Author, validate, and improve runbooks for recurring failure patterns, ensuring they're structured for low-context, safe execution. - Identify high-frequency failure patterns and convert them into automated mitigations or self-healing automations. - Diagnose and resolve runtime issues related to latency, memory behavior, GPU utilization, concurrency, and model lifecycle management. - Define and instrument SLOs and SLIs across customer workloads and internal services. - Navigate ambiguity, make principled tradeoffs, and avoid unnecessary complexity in the systems you build and the processes you define. REQUIREMENTS - Extensive hands-on experience with Kubernetes (multi-cloud experience across EKS, GKE, or similar is a strong plus). - Experience in building and maintaining scalable infrastructure. - Strong foundation in observability tooling: metrics (VictoriaMetrics, Prometheus), logging (Loki, ELK), dashboards (Grafana), and alerting pipelines. Observability-as-code experience is a plus. - Experience with infrastructure-as-code (Terraform, Helm) and GitOps workflows (Flux CD, ArgoCD). - Experience writing and improving runbooks, leading incident response, and doing post-mortem analysis. - Comfort working at the intersection of engineering and operations — you write code, but you also think deeply about process, escalation paths, and operational leverage. - Familiarity with incident management platforms (incident.io http://incident.io or similar) is a plus. - No prior ML experience required, but curiosity about how ML models are deployed and served at scale will serve you well. 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 Workplace: OnSite ABOUT HUMAN ARCHIVE Human Archive is a research lab focused on modeling human embodied intelligence. Humans are the most sophisticated biological systems we have ever observed, yet we still do not fully understand ourselves. Research into human physical intelligence — including the human hand, proprioception, and vision — remains largely unsolved. Our mission is to recover human embodied intelligence as a learned model. To achieve this, we build custom hardware products, deploy them globally at scale, and publish research. Today, our data is used for robotics and world modeling, but the broader opportunity is advancing scientific research into intelligence itself. Founded by Stanford and UC Berkeley researchers, we are lean, deeply technical, and operate at extreme speed, taking on unglamorous and conventionally impossible problems that directly unlock step-function gains in model capability. The deployment of capable humanoids at scale will permanently redefine human labor. Undesirable physical work will disappear, and human effort will shift toward a new era of abundant creativity. We are building the infrastructure to accelerate that transition by assembling the Human Archive mafia. You will own meaningful systems from day one and see your work directly impact model capabilities. This is a once-in-a-generation inflection point. If you want to help reshape physical labor and work on problems that matter at civilizational scale, join us. THE OPPORTUNITY As a Machine Learning Engineer, you’ll work on multimodal perception, VLA training, robotics post-training, and downstream policy evaluation. This is a hands-on role at the intersection of applied machine learning, data infrastructure, and robotics, where your work directly shapes how data is collected, validated, annotated, and evaluated. You’ll help close the loop between research and data collection by fine-tuning VLAs on downstream policy performance and building post-training and reinforcement learning systems around real-world robotics tasks. You’ll be expected to make architectural decisions, own projects end-to-end, and operate in highly ambiguous research environments given the novelty and scale of our multimodal datasets. Your work will help shape how frontier labs and leading robotics companies train their models, transforming physical labor markets and economies while contributing to broader research into human embodied intelligence. WHAT YOU’LL DO - Build systems for multimodal perception, annotation, dataset QA, and robotics evaluation - Publish research on multimodal data by fine-tuning and evaluating VLA models on downstream robotics tasks and policy performance - Build post-training and reinforcement learning systems around robotics failure modes and corrective demonstrations - Work across video understanding, tracking, pose estimation, temporal modeling, and multimodal alignment - Develop tooling for benchmarking, observability, and temporal efficiency - Prototype quickly, ship rapidly, and iterate from real-world robotics deployments and research feedback WHAT WE’RE LOOKING FOR - Passionate, mission-driven individuals who have demonstrated exceptional ownership in previous work - Engineers who want their work to directly impact the next frontier of physical AGI - Strong ML engineering fundamentals across robotics, computer vision, and perception systems - Experience with video understanding, tracking, pose estimation, robotics, or real-world sensor systems - Strong technical intuition and ability to move quickly in ambiguous research environments - Published research or production experience in robotics, embodied AI, reinforcement learning, motion capture, or vision systems is a strong plus

Location: Global Workplace: Remote Job description Our core mission at Railway is to make software engineers higher leverage. We believe that people should be given powerful tools so that they can spend less time setting up to do, and more time doing. Many infrastructure platforms simply focus on how you deploy your singular application, and now how these applications function in concert. Questions like “How do you build systems for zero downtime deployment”, “How do you do service-to-service communications”, etc are usually left up to the engineers to define. At Railway, our goal is to be an all encompassing solution to all these problems. As such, we take special care as we define our networking infrastructure. “But the world would be a better place if more engineers, like me, hated technology. The stuff I design, if I'm successful, nobody will ever notice. Things will just work, and will be self-managing” - Radia Perlman About the role For this role, you will: - Build and maintain our host provisioning stack: PXE boot, Ansible, and burn-in agents that bring new bare metal online quickly and confidently - Continue to evolve our homegrown orchestration engine to manage clusters, containers, and VMs through a single lens - Optimize the efficiency of our bin packing algorithm to maximize utilization/performance and minimize costs - Own the internal tooling that Railway engineers use to interact with our fleet every day - Build out internal observability and alerting so we catch fleet problems before customers feel them - Design and maintain the CI pipelines that ship our infrastructure code safely - Define infrastructure that can be torn down, failed over, and reconstituted from scratch using principle of immutable infrastructure using Terraform and Ansible - Build Golang/Rust GRPC services from scratch capable of supporting millions of users - Write Engineering Requirement Documents to take something from idea, to defined tasks, to implementation, to monitoring its success The arc of this role is more internal-facing than user-facing. You're building the platform that Railway engineers run on. This is a high impact, high agency role with direct effect on company culture, trajectory, and outcome. About you - A strong understanding of distributed systems and what it takes to operate them. You enjoy building fault tolerant, resilient, and scalable services, and you care about what happens when they break at 3am - Hands-on experience with bare metal provisioning, configuration management, and the unglamorous-but-critical work of getting hardware production-ready - Comfort building and operating internal tools. You understand that developer experience inside the company matters as much as the product outside it - A solid intuition about how long your solutions will last. All systems age. In startups, we can hope for 2-3 orders of magnitude, or 12-18mo - The tact to implement your solution, create monitors for its error boundaries, and document any requirements for when you're not around - A great sense of direction and prioritization when it comes to dealing with the ambiguity of an early stage startup - A sense of grit to dive into a problem, implement a solution, scale that solution, and replace it when needed - A great set of communication skills for getting your point across, solution implemented, and beyond We value and love to work with diverse persons from all backgrounds Things to know For better or worse, we're a startup; our team dynamics are different from companies of different sizes and stages. - We're distributed ALL across the globe, and that's only going to be more and more distributed. As a result, stuff is ALWAYS happening. - We do NOT expect you to work all the time, but you'll have to be diligent about your boundaries because the end of your day may overlap with the start of someone else's. - We're a small team, with high ownership, who are not only passionate about what we do, but seek to be exceptional as well. At the time of writing we're 21, serving hundreds of thousands of users. There's a lot of stuff going on, and a lot of ambiguity. - We want you to own it. We believe that ownership is a key to growth, and part of that growth is not only being able to make the choices, but owning the success, or failure, that comes with those choices. Benefits and perks At Railway, we provide best in class benefits. Great salary, full health benefits including dependents, strong equity grants, equipment stipend, and much more. For more details, check back on the main careers page https://railway.com/careers. Beyond compensation, there are a few things that we believe that make working at Railway truly unique: - Autonomy: We have very few meetings. Just a Monday and a Friday to go over the Company Board. We think your time is sacred, whether it's at work, or outside of work. - Ownership: We're a company with a high ownership, high autonomy culture. We hope that you'll come in, help us, and over the course of many years do the best work of your life. When we bring you onboard, we expect you to change the company. - Novel problems/solutions: We're a startup that's well funded, with cool problems, which lets us implement novel solutions! We abhor “busywork” and think, whether it's community, engineering, operations, etc there's always opportunity for creative and high leverage solutions. - Growth: We want you to grow with us, but we know that talent is loaned, so when you figure out what area you want to grow in next, whether it's at Railway or outside, we'll make sure you land there. How we hire No tricks. No surprises. Here's the entire process. 1) Talk with us about the role This is completely open ended and we're just trying to see who you are, what you want to do, and where you wanna go. 2) Work on a small project to discuss in the interview Asynchronously implement the following: - Imagine a theoretical or actual system like Railway which can manage stateless and stateful compute workloads. Design the engine for managing orchestration - Interview Structure (60 Minutes): - Pre-work (before your interview): Complete your solution (advised) - 0-5m: introduction - 5-50m: Building (or expanding) your solution - 50-60m: Questions on Railway/Tech/etc You can, and SHOULD! ask us questions ahead of time. Ask away! 3) Review your solution with the Team You'll sit down with someone on the team and go over the above. We'll poke into your solution, as well as get you acquainted with two more members of the team. Looking for: Learn about your problem solving skills. How you break down a problem and how you present a solution. 4) Meet the Team You'll meet the Team, which will be comprised of 4 people from vastly different sections of the company. Looking for: How you work with the rest of the team and communicate. 5) Chat with CEO Sit down with our founder and CEO for 30 minutes. This is a 1:1, open ended conversation. 6) Offer call Finally, we will present the offers, hammer out the details about your position, tee up onboarding, and start our journey together. Final Note: The interview goes both ways. Once again, please ask us things. Many things! Hard things. That's what we're here for.

Location: Remote - Toronto, Ontario; Remote - Vancouver, British Columbia; Remote - Denver Workplace: Remote The Company At Nylas, we specialize in making it easier for developers to add email, calendar, and contact management features into their applications. We provide APIs, which streamline the integration of these functionalities, ensuring they are secure and effective. This enables better, safer, and more reliable communication within apps. Supporting over 100,000 developers and collaborating with more than 900 companies globally, Nylas plays a pivotal role in how digital communication tools are built and utilized. Our technology spans various sectors, from healthcare to education, simplifying the complex process of app development related to communications. By reducing the barriers in communication technology, we empower developers to innovate and enhance user interaction across platforms. THE TEAM We're looking for a Product Manager who is going to usher in the new era of integrating with communication data. We operate with a founder's mindset. You'll own outcomes end-to-end, from early discovery through shipping and scaling, with the autonomy to move fast and the judgment to know when to slow down. We share wins, dissect failures, and hold a high bar for what a developer platform can be. If you're the kind of person who spots an opportunity on Monday and has a working prototype by Tuesday, you'll fit right in. WHAT YOU'LL DO - Partner with leadership to define and execute on a particular area of the product portfolio that you own, keeping in line with the broader company objectives of unlocking AI utility, owning the AI agent comms harness, and making Nylas the fastest time to value for AI-based workflows. - Formulate technically complex and nuanced subject matter into clear business value. You can make sense of a deeply technical domain, reason through it, and translate it into a confident business bet. - Roll up your sleeves with Marketing to co-own GTM strategy, shaping how Nylas is positioned in a fast-moving AI landscape, crafting narratives that resonate with developers, and driving execution through launch and beyond. - Deeply understand how developers are building AI-powered applications today: what they're reaching for, where they're getting stuck, and where Nylas can become an indispensable part of that stack. - Lead discovery with our developer community and enterprise partners through closed betas, feedback loops, and continuous validation, building what the market needs before they can articulate it. - Own the documentation and launch lifecycle, ensuring every release sets a new standard for developer experience. - Move fast on low-risk problems. Don't wait when you can act. THE IDEAL CANDIDATE: - Problem-led thinking is non-negotiable. You identify and articulate user problems clearly before reaching for solutions. Your work history reflects outcomes, not just output. You can point to metrics that moved, not just features that shipped. - You are genuinely plugged into how AI is changing software development. Not because your last job required it, because you're drawn to it. You're experimenting with tools like Claude Code, Codex, or similar in your own time. You have a nuanced understanding of the AI landscape, concepts such as LLMs, agents, RAG, and embeddings, and can speak to these with depth, not just vocabulary. If you've operationalized AI-based features or built pipelines in a professional context, even better. - You have a builder's instincts. You don't wait for a designer to be free before moving on a prototype. You don't wait for an engineer to run an audit, you can orchestrate yourself. You know the difference between what requires a specialist and what you can unblock with the right tools and good judgment. You operate within safe boundaries, but you push those boundaries as far as they reasonably go. - You have strong developer empathy. You understand how developers evaluate tools, make build-vs-buy decisions, and think about integrating third-party infrastructure into their products. You don't need to have come from a connectivity or API company, but you need to understand the developer mindset deeply, especially as it's evolving in the AI era. What You Must Bring - 3+ years of product management experience working on technical products - Background in software engineering, technical product development, or demonstrated builder experience inside or outside of work - Experience collaborating closely with engineering teams on requirements, trade-offs, and technical risks - Strong communication skills across technical and non-technical stakeholders - Comfort operating with ambiguity and incomplete information Bonus Points - Experience shipping AI-powered features, workflows, or developer tools - Experience taking products from 0 → 1 in either a professional or personal capacity - Experience working with APIs, developer platforms, or infrastructure products Interview Process - Round 1 - The Intro: 30 minute discussion with the Hiring Manager - Round 2 - The Deep Dive: Take home assignment to be followed by a 60 minute presentation with a panel - Round 3- The Loop: A series of 45-minute chats with the team (max 3 hours) where we look for the "what, why, and how" behind your best work. During the various discussions, candidates selected to meet with us are strongly encouraged to not only discuss their knowledge, skills, experience, and abilities but also to showcase examples of their current or previous work. We expect you to clearly outline the "what," "why," and "how" behind your contributions. The estimated base salary range for this position is $120,000 - 160,000 CAD. Actual compensation will be determined based on individual qualifications, which are objectively assessed during the interview process. Factors influencing salary include knowledge, skills, experience, and abilities. Nylas is registered as an employer in many, but not all, states/provinces. If you are not located in or able to work from a state/province where Nylas is registered, you will not be eligible for employment. Visa sponsorship may not be available in certain remote locations.

Location: London, UK About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's Infrastructure organization is foundational to our mission of developing AI systems that are reliable, interpretable, and steerable. The systems we build determine how quickly we can train new models, how reliably we can run safety experiments, and how effectively we can scale Claude to millions of users — demonstrating that safe, reliable infrastructure and frontier capabilities can go hand in hand. Cluster Infra owns the full lifecycle of compute clusters at Anthropic. We build agent-driven automation for cluster provisioning and lifecycle management across all major cloud providers and our own datacenters. Our systems stand up clusters that are interconnected with high bandwidth, secure-by-default, and able to automatically drain and recover in response to failure. As a Staff engineer on this team, you'll set the technical direction for how Anthropic brings compute online - at a moment when the scale of that compute is growing faster than at almost any company in the world. Key responsibilities Own the technical strategy and roadmap for agent-driven cluster lifecycle management - provisioning, updates and decommissioning Partner across teams to ensure new compute capacity is ingested on time Align with partner teams on physical build-out and leverage cloud solutions to deliver high-bandwidth inter-cluster connectivity Collaborate with security owners to ensure clusters are provisioned secure-by-default Define and drive strategy on cluster scalability, homogeneity and fault tolerance Work closely with cloud providers and internal research, inference and product teams to shape long-term compute, data, and infrastructure strategy Establish and evolve operational-excellence practices: incident response, postmortem culture and on-call health Support the growth of engineers around you through technical mentorship and coaching Minimum qualifications Deep expertise in distributed systems, reliability, and cloud platforms (e.g., Kubernetes, IaC, AWS/GCP/Azure) Strong proficiency in at least one systems language (e.g., Rust, Go, or Python), IaC proficiency with Terraform. Track record of leading complex, multi-quarter technical initiatives spanning multiple teams or systems Ability to build alignment across senior stakeholders and communicate effectively at all levels Preferred qualifications 10+ years of software engineering experience, including time as a technical lead setting direction for a team Experience operating large-scale compute infrastructure at hyperscale (100+ clusters, 10K+ nodes) Depth in one or more of: Kubernetes internals, cluster provisioning and management systems, cluster orchestration systems (Mesos, Borg-like) Experience with cloud networking: VPC design and peering, Shared VPC/Transit Gateway, Cloud Interconnect/Direct Connect, Cloud NAT, cross-cloud private connectivity, BGP and route control, edge load balancing and DDoS mitigation (Cloud Armor / AWS Shield) Experience with cluster and host networking: CNI (Cilium), eBPF, NetworkPolicy, multi-NIC, sFlow, service mesh (Istio/Envoy/Linkerd, mTLS) Experience with cluster security: pod security standards and admission control, RBAC and least-privilege IAM, node and container hardening, supply-chain/image provenance Deep experience with infrastructure-as-code (Terraform, Atlantis), workflow orchestration (Temporal, Argo Workflows) Skill in quickly understanding systems design tradeoffs and keeping track of rapidly evolving software systems The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: £325,000 — £485,000 GBP Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco ABOUT HUMAN ARCHIVE Human Archive is a research lab focused on modeling human embodied intelligence. Humans are the most sophisticated biological systems we have ever observed, yet we still do not fully understand ourselves. Research into human physical intelligence — including the human hand, proprioception, and vision — remains largely unsolved. Our mission is to recover human embodied intelligence as a learned model. To achieve this, we build custom hardware products, deploy them globally at scale, and publish research. Today, our data is used for robotics and world modeling, but the broader opportunity is advancing scientific research into intelligence itself. Founded by Stanford and UC Berkeley researchers, we are lean, deeply technical, and operate at extreme speed, taking on unglamorous and conventionally impossible problems that directly unlock step-function gains in model capability. The deployment of capable humanoids at scale will permanently redefine human labor. Undesirable physical work will disappear, and human effort will shift toward a new era of abundant creativity. We are building the infrastructure to accelerate that transition by assembling the Human Archive mafia. You will own meaningful systems from day one and see your work directly impact model capabilities. This is a once-in-a-generation inflection point. If you want to help reshape physical labor and work on problems that matter at civilizational scale, join us. About the Role This is a full-stack hardware engineering role spanning mechanical, electrical, firmware, embedded systems, and manufacturing. The engineer in this role will own integration across all layers of the system and drive manufacturing execution in China — from vendor selection through production ramp. You will work directly on wearable sensing systems involving synchronized cameras, motion capture, tactile sensing, embedded compute, and power systems operating under real-world deployment constraints. Mandarin fluency and established relationships in Chinese manufacturing are required. A background in mechatronics, systems engineering, robotics, or embedded hardware is strongly preferred. Open to exceptional new graduates and early-career engineers (2023–2026). What You’ll Do - Lead hardware engineering and manufacturing execution for Human Archive’s multimodal wearable systems - Own integration across power systems, sensor synchronization, embedded compute, thermal systems, and mechanical packaging - Debug failures across electrical, firmware, thermal, RF, and mechanical layers under real-world deployment conditions - Review CAD, schematics, PCB layouts, and embedded firmware behavior and drive corrective action with engineering justification - Prototype, wear-test, deploy, and iterate rapidly on wearable sensing systems used in large-scale global operations - Work directly with stereo depth cameras, IMUs, motion capture systems, tactile hardware, and embedded sensing platforms - Coordinate across hardware, software, operations, and data teams to translate product requirements into manufacturable systems under aggressive timelines What We’re Looking For - Strong background in mechatronics, robotics, systems engineering, embedded systems, or equivalent hands-on experience - Experience building battery-powered electronics, embedded Linux systems, sensor integration systems, or wearable hardware - Ability to debug hardware and embedded systems using serial tools, oscilloscopes, logic analyzers, and low-level debugging workflows - Strong mechanical judgment with the ability to review CAD and identify structural, ergonomic, thermal, or reliability issues - Ability to move quickly in ambiguous, high-ownership environments with aggressive timelines - Strong communication skills and ability to coordinate across engineering, manufacturing, and operations teams - Comfortable operating as both an individual contributor and technical leader in a fast-moving startup environment Strong Plus - Mandarin fluency and active manufacturing relationships in China (Shenzhen, Dongguan, or equivalent ecosystems) - Experience working with motion capture systems, IMUs, stereo depth cameras, tactile sensing, or wearable robotics - Experience bringing hardware products from prototype through mass production deployment - Experience working on robotics, embodied AI, multimodal sensing, or large-scale wearable systems Location Globally deployed. Primary operational presence in China (Shenzhen / Dongguan) and San Francisco.

Location: Global Workplace: Remote Job description Our core mission at Railway is to make software engineers higher leverage. We believe that people should be given powerful tools so that they can spend less time setting up to do, and more time doing. Many infrastructure platforms simply focus on how you deploy your singular application, and now how these applications function in concert. Questions like “How do you build systems for zero downtime deployment”, “How do you do service-to-service communications”, etc are usually left up to the engineers to define. At Railway, our goal is to be an all encompassing solution to all these problems. As such, we take special care as we define our networking infrastructure. Note: Networking falls under the platform engineering umbrella. If you’re specialized, we’d love to chat! That said, we’d also like it noted you’re probably going to do a lot of non-networking + platform things “But the world would be a better place if more engineers, like me, hated technology. The stuff I design, if I'm successful, nobody will ever notice. Things will just work, and will be self-managing” - Radia Perlman   ABOUT THE ROLE For this role, you will: 1. Build ingestion pipelines to consume 1M+ RPS streams of logs, metrics, and other telemetry 2. Build scalable, fault tolerant alerting engines for notifying users, in real-time, of threshold breaches 3. Craft rich backend observability APIs, working with product to build amazing experiences for instantly grokking their application 4. Provide APIs to access realtime log/metrics streams to be consumed by the Dashboard and Product Teams 5. Build Golang/Rust GRPC services from scratch capable of supporting tens of thousands of users, and the million+ to come. 6. Define infrastructure that can be torn down, failed over, and reconstituted from scratch using principle of immutable infrastructure using Terraform and Ansible. 7. Write Engineering Requirement Documents to take something from idea, to defined tasks, to implementation, to monitoring it’s success. 8. Interface with our TypeScript and GraphQL edge to expose your microservice APIs for both internal and potentially external consumption This is a high impact, high agency role with direct effect on company culture, trajectory, and outcome. ABOUT YOU - A strong understanding of distributed systems. You enjoy building fault tolerant, resilient, and scalable services - Interests in VictoriaMetrics, ClickHouse, and other systems for building observability stacks from the ground up - A solid intuition about how long your solutions will last. All systems age. In startups, we can hope for 2-3 orders of magnitude, or 12-18mo. - The tact to implement your solution, creator monitors for it’s error boundaries, and document any requirements for when you’re not around - A great sense of direction and prioritization when it comes to dealing with the ambiguity of an early stage startup - A sense of grit to dive into a problem, implement a solution, scale that solution, and replace it when needed - A great set of communication skills for getting your point across, solution implemented, and beyond We value and love to work with diverse persons from all backgrounds Things to know For better or worse, we're a startup; our team dynamics are different from companies of different sizes and stages. - We're distributed ALL across the globe, and that's only going to be more and more distributed. As a result, stuff is ALWAYS happening. - We do NOT expect you to work all the time, but you'll have to be diligent about your boundaries because the end of your day may overlap with the start of someone else's. - We're a small team, with high ownership, who are not only passionate about what we do, but seek to be exceptional as well. At the time of writing we're 21, serving hundreds of thousands of users. There's a lot of stuff going on, and a lot of ambiguity. - We want you to own it. We believe that ownership is a key to growth, and part of that growth is not only being able to make the choices, but owning the success, or failure, that comes with those choices. Benefits and perks At Railway, we provide best in class benefits. Great salary, full health benefits including dependents, strong equity grants, equipment stipend, and much more. For more details, check back on the main careers page https://railway.app/careers/full-stack. Beyond compensation, there are a few things that we believe that make working at Railway truly unique: - Autonomy: We have very few meetings. Just a Monday and a Friday to go over the Company Board. We think your time is sacred, whether it's at work, or outside of work. - Ownership: We're a company with a high ownership, high autonomy culture. We hope that you'll come in, help us, and over the course of many years do the best work of your life. When we bring you onboard, we expect you to change the company. - Novel problems/solutions: We're a startup that's well funded, with cool problems, which lets us implement novel solutions! We abhor “busywork” and think, whether it's community, engineering, operations, etc there's always opportunity for creative and high leverage solutions. - Growth: We want you to grow with us, but we know that talent is loaned, so when you figure out what area you want to grow in next, whether it's at Railway or outside, we'll make sure you land there. How we hire No tricks. No surprises. Here's the entire process: 1. Talk with us about the role - This is completely open ended and we're just trying to see who you are, what you want to do, and where you wanna go. 2. Work on a small project to discuss in the interview - Asynchronously implement the following: 1. Imagine a theoretical or actual system like Railway which can manage stateless and stateful compute workloads. Design the engine for managing observability 2. Interview Structure (60 Minutes): 3. Pre-work (before your interview): Complete your solution (advised) 4. 0-5m: introduction 5. 5-50m: Building (or expanding) your solution 6. 50-60m: Questions on Railway/Tech/etc. You can, and SHOULD! ask us questions ahead of time. Ask away! 3. Review your solution with the Team You'll sit down with someone on the team and go over the above. We'll poke into your solution, as well as get you acquainted with two more members of the team. Looking for: Learn about your problem solving skills. How you break down a problem and how you present a solution. 1. Interview Structure (60 Minutes): 1. Prework (submitted before your interview): Complete your solution 2. 0-5m: introduction 3. 5-50m: Building (or expanding) your solution 4. 50-60m: Questions on Railway/Tech/etc 4. Meet the Team 1. You'll meet the Team, which will be comprised of 4 people from vastly different sections of the company. 1. Looking for: How you work with the rest of the team and communicate. 5. Offer and Details Chat with CEO 1. Finally, we will go over the process, the role, and hammer out the details about your position, onboarding, and all the deets. Final Note: The interview goes both ways. Once again, please ask us things. Many things! Hard things. That's what we're here for.

Location: New York, New York, United States; San Francisco, California, United States; Seattle, Washington, United States About Turing Turing’s mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at www.turing.com . About the role Turing builds the training and evaluation data powering the world’s leading frontier AI labs. As these labs push the frontier, they bring us their newest models and ask the critical question: how does our model perform against your benchmark datasets, where does it fail, and what data will make it climb the hill? As a Field Engineer, AI Labs , you are the technical face of Turing to frontier research teams. You sit at the exact intersection of client-facing solutions engineering and hands-on AI evaluation. When a frontier lab provides a new model endpoint, you wire it up, run comprehensive evals across Turing’s datasets, synthesize raw performance metrics into actionable intelligence, and present those findings directly to client researchers and technical leaders. This is not a pure research engineering seat and not a traditional forward-deployed IT role. It is a high-velocity, high-agency solutions engineering role for a technically fluent, dependable builder who thrives on talking to customers, running benchmarks across model APIs, and packaging last-mile data deliveries with extreme precision. Why this role matters You will work directly with research scientists and technical executives at top AI labs (such as xAI, Anthropic, OpenAI, and emergent frontier labs). Every eval you run and every benchmark report you write directly influences how frontier labs evaluate model capabilities, uncover failure modes, and procure the pre-training and post-training data required for next-generation intelligence. What you’ll own Evaluation & Benchmarking Connect frontier model APIs and inference endpoints (OpenAI, Anthropic, AWS Bedrock, vLLM, private client gateways) into evaluation harnesses. Execute large-scale benchmark runs across proprietary Turing datasets (reasoning, coding, multimodal, agentic environments, and GDP Val). Analyze eval results, isolate failure cases, detect model behavioral drift, and identify the exact data distributions needed to address capability gaps. Technical Pre-Sales & Client Engagement Serve as the technical counterpart to sales leads on calls with frontier AI labs and enterprise AI teams. Translate complex evaluation metrics into compelling, high-signal reports, client presentations, and technical collateral. Answer technical questionnaires and RFIs from lab researchers regarding data design, task curation, difficulty stratification, and rubrics. Surface lab feedback and emerging benchmark requirements back to internal R&D and dataset design teams. Internal Data Systems & Catalog Stewardship Navigate and operate Turing’s internal data infrastructure (DataOS, Data Hub, and task catalogs) to query, manipulate, and move data pipelines. Slice and curate custom data subsets based on specific difficulty thresholds, benchmark rubrics, or top-performing data points. Audit data provenance and maintain up-to-date specifications across Turing's public catalog and internal dataset inventories. Packaging & Last-Mile Delivery Own last-mile delivery, schema alignment, and packaging so that data delivered matches client technical specifications flawlessly. Work closely with engineering and quality leads to verify that all data deliverables adhere to rigorous validation standards before client handoff. What you bring Required 1 to 5 years of professional experience in data science, AI/ML engineering, solutions engineering, or data analytics with a demonstrated transition into generative AI. Strong hands-on Python proficiency: working with REST/gRPC model APIs, inference endpoints (OpenAI, Anthropic, Bedrock, vLLM), pandas, and SQL. Practical experience with model evaluation, benchmark design, or LLM-as-a-judge pipelines. You know how benchmarks are structured, scored, and debugged. High agency and a scrappy, startup mindset: you have owned projects end-to-end, delivered under tight deadlines, and thrive in fast-paced environments where playbooks are being built in real time. Exceptional written and verbal communication: ability to walk research scientists through technical evaluation metrics and command confidence on commercial calls. Comfort working with command-line tools, internal tooling, and data manipulation workflows. Preferred Prior experience at an early-stage AI startup or high-growth technology company where you wore multiple hats across engineering and customer support. Hands-on experience with evaluation harnesses and agent benchmarks (e.g., Harbor, Terminal-Bench, SWE-bench, Inspect) or agentic workflows. Experience fine-tuning models (e.g., LoRA/QLoRA), working with open-weights models, or conducting multimodal evaluations. Familiarity with data quality control, task verification, or synthetic data generation pipelines. How we work High ownership, low ego: You own the last mile from intake to client handoff. The outcome matters more than who gets credit. Technical fluency with commercial empathy: We don't hide behind jargon. We present clear, honest numbers to lab researchers and act as their trusted technical partners. Rigorous data integrity: Provenance, versioning, and reproducibility come first. What we benchmark is what the client gets. Location & Work Model Location: United States. Strong preference for candidates based in the San Francisco Bay Area (for regular interaction with local AI labs and team hubs); remote within the US considered for exceptional candidates. Employment Type: Full-time standard employee. Compensation & Benefits The annual base salary range for this full-time position is $175,000 – $232,000 USD . In addition to base salary, this role is eligible for equity, performance incentives, and comprehensive company benefits. Individual compensation is determined by job-related skills, experience, qualifications, and relevant business considerations. Values We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value. We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection We are AI forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity. Advantages of joining Turing Work at the frontier of AI , helping the world’s leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks. Contribute to leading-edge AI research and showcase your work at top conferences such as ICLR, ICML, and NeurIPS. Bring frontier AI innovation to the enterprise , applying lessons learned from leading AI labs to solve real-world business challenges. Collaborate with and learn from exceptional colleagues with deep AI experience from Google, Meta, Amazon, and other leading technology companies. Move at the pace of AI innovation , with the speed, ownership, and impact of a startup. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace  and celebrate authenticity, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. For applicants from the European Union, please review Turing's GDPR notice here .

Location: Remote Canada At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. We are seeking a seasoned Engineering Manager to lead our Resilience Engineering team. This role is critical in ensuring the safety and reliability of our production systems through proactive validation techniques, including production load testing and chaos engineering. You will lead the development of systems and practices that allow engineers to safely test system behavior under stress and failure conditions in production, ensuring issues are discovered and mitigated before they impact real users. What you’ll do Leadership & Strategy Define and drive the vision for resilience engineering at Affirm, with a focus on production load testing and chaos engineering as first-class engineering practices. Lead and mentor a team of engineers building platforms and tooling for safe production experimentation. Partner with infrastructure, product, and security leadership to embed resilience validation into the software development lifecycle. Establish best practices for safely testing system limits and failure scenarios in production. Systems & Operations Own the design and evolution of platforms that enable safe, controlled production load testing and fault injection. Ensure strong safeguards are in place, including isolation boundaries, approval workflows, and automated rollback mechanisms to protect real users. Build systems that provide end-to-end observability, traceability, and auditability for all resilience experiments. Drive reliability improvements by systematically identifying weaknesses through load testing and chaos experiments. Establish monitoring, alerting, and incident response practices tailored to proactive resilience validation. Collaboration & Enablement Work closely with engineering teams to design and execute production load tests and chaos experiments safely. Partner with infrastructure teams to build guardrails around tests and experimentations. Enable teams to adopt resilience practices by providing reusable tooling, frameworks, and standardized workflows. Identify systemic weaknesses and lead cross-functional efforts to improve reliability and fault tolerance. Evangelize a culture of “test failure before failure tests you” across the organization. What we look for Proven experience leading engineering teams in reliability, infrastructure, or distributed systems. Hands-on experience with production load testing, chaos engineering, or large-scale system validation. Experience with leveraging a chaos engineering vendor such as Gremlin, Harness, or something similar. Strong understanding of failure modes in distributed systems, including latency, partial failure, and cascading outages. Experience building or operating systems with strong safety guarantees (isolation, rate limiting, guardrails, auditability). Familiarity with cloud-native environments (AWS, Kubernetes) and observability tooling. Strong programming background (e.g., Python, Kotlin, Java, or similar). Excellent problem-solving skills and the ability to balance long-term resilience investments with immediate business needs. Strong communication and leadership skills, with a track record of influencing engineering practices across teams. This posting is for an existing vacancy. Pay Grade - P Equity Grade - 7 Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills. Base pay is part of a total compensation package that may include monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents). In addition, the employees may be eligible for equity rewards offered by Affirm Holdings, Inc. (parent company). CAN base pay range per year: 181,000 - 241,000 #LI-Remote Remote-first with flexibility built in Affirm is proud to be a remote-first company. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in-person work at an Affirm office, and a few are office-based due to the nature of the work. All new hires will be invited to attend an in-person onboarding experience. Benefits designed for you Our benefits reflect our commitment to care, transparency, and flexibility. Here are a few highlights: Health coverage at no cost: We cover 100% of premiums for employees and their dependents. Spending stipends: Monthly stipends support your tech setup, and the ability to choose health and wellness options that are right for you. Time off to recharge: Flexible time off and generous holiday calendars help you rest when you need to. Own a piece of what you build: Our employee stock purchase plan (ESPP) lets you buy Affirm stock at a discount. We’re committed to providing an inclusive interview process, including accommodations for candidates with disabilities. If you need support, we’re happy to help. For positions based in San Francisco or Los Angeles: Affirm considers qualified applicants with arrest and conviction records, as required by law. By clicking "Submit Application," you acknowledge that you have read Affirm's Global Candidate Privacy Notice and consent to the use of your personal information as described.

Location: Remote US At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. We are seeking a seasoned Engineering Manager to lead our Resilience Engineering team. This role is critical in ensuring the safety and reliability of our production systems through proactive validation techniques, including production load testing and chaos engineering. You will lead the development of systems and practices that allow engineers to safely test system behavior under stress and failure conditions in production, ensuring issues are discovered and mitigated before they impact real users. What you’ll do Leadership & Strategy Define and drive the vision for resilience engineering at Affirm, with a focus on production load testing and chaos engineering as first-class engineering practices. Lead and mentor a team of engineers building platforms and tooling for safe production experimentation. Partner with infrastructure, product, and security leadership to embed resilience validation into the software development lifecycle. Establish best practices for safely testing system limits and failure scenarios in production. Systems & Operations Own the design and evolution of platforms that enable safe, controlled production load testing and fault injection. Ensure strong safeguards are in place, including isolation boundaries, approval workflows, and automated rollback mechanisms to protect real users. Build systems that provide end-to-end observability, traceability, and auditability for all resilience experiments. Drive reliability improvements by systematically identifying weaknesses through load testing and chaos experiments. Establish monitoring, alerting, and incident response practices tailored to proactive resilience validation. Collaboration & Enablement Work closely with engineering teams to design and execute production load tests and chaos experiments safely. Partner with infrastructure teams to build guardrails around tests and experimentations. Enable teams to adopt resilience practices by providing reusable tooling, frameworks, and standardized workflows. Identify systemic weaknesses and lead cross-functional efforts to improve reliability and fault tolerance. Evangelize a culture of “test failure before failure tests you” across the organization. What we look for Proven experience leading engineering teams in reliability, infrastructure, or distributed systems. Hands-on experience with production load testing, chaos engineering, or large-scale system validation. Experience with leveraging a chaos engineering vendor such as Gremlin, Harness, or something similar. Strong understanding of failure modes in distributed systems, including latency, partial failure, and cascading outages. Experience building or operating systems with strong safety guarantees (isolation, rate limiting, guardrails, auditability). Familiarity with cloud-native environments (AWS, Kubernetes) and observability tooling. Strong programming background (e.g., Python, Kotlin, Java, or similar). Excellent problem-solving skills and the ability to balance long-term resilience investments with immediate business needs. Strong communication and leadership skills, with a track record of influencing engineering practices across teams. This position requires either equivalent practical experience or a Bachelor’s degree in a related field. Base Pay Grade - P Equity Grade - 13 Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills. Base pay is part of a total compensation package that may include equity rewards, monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents.) USA base pay range (CA, WA, NY, NJ, CT) per year: 230,000 - 290,000 USA base pay range (all other U.S. states) per year: 204,000 - 264,000 #LI-Remote Remote-first with flexibility built in Affirm is proud to be a remote-first company. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in-person work at an Affirm office, and a few are office-based due to the nature of the work. All new hires will be invited to attend an in-person onboarding experience. Benefits designed for you Our benefits reflect our commitment to care, transparency, and flexibility. Here are a few highlights: Health coverage at no cost: We cover 100% of premiums for employees and their dependents. Spending stipends: Monthly stipends support your tech setup, and the ability to choose health and wellness options that are right for you. Time off to recharge: Flexible time off and generous holiday calendars help you rest when you need to. Own a piece of what you build: Our employee stock purchase plan (ESPP) lets you buy Affirm stock at a discount. We’re committed to providing an inclusive interview process, including accommodations for candidates with disabilities. If you need support, we’re happy to help. For positions based in San Francisco or Los Angeles: Affirm considers qualified applicants with arrest and conviction records, as required by law. By clicking "Submit Application," you acknowledge that you have read Affirm's Global Candidate Privacy Notice and consent to the use of your personal information as described.

Location: Hyderabad SingleStore engineers build the real-time data platform powering some of the world’s most demanding applications. Our cloud-native architecture enables high-performance transactional and analytical workloads at scale, and our teams ship production code continuously throughout the year. We operate in a fast-moving, highly collaborative environment where engineers own their work end-to-end and partner closely across Product, Sales, and Go-To-Market teams to deliver meaningful business impact. Position Overview The Infrastructure Systems Engineering team is in the midst of building our next-generation private cloud infrastructure as part of a greenfield initiative to in-house existing internal use cases on public cloud and support new initiatives. The historical deployment primarily supported our database test system: A system that runs over 7.25 million tests per month, writes petabytes to storage daily, and we’re currently scaling multiple times in the next year alone. As a Software Engineer, Systems , you will be tasked with the design, implementation, and continuous improvement of systems at lower abstraction levels. You’ll collaborate closely with a small, highly skilled team to drive a careful balance between battle-hardened best practices and creative innovation in an environment that embraces working from first principles, celebration of failure, and egoless technical discussion. Role And Responsibilities Engage in the design and development of major infrastructure components and systems, focusing on fault tolerance and performance. Practice principles of distributed leadership - being comfortable shifting between leading, collaborating with, and following your peers on different projects Own your systems end-to-end from design to production. Work closely with other teams to ensure the successful integration and operation of our infrastructure systems. Do your part to foster an environment where people take chances because they aren’t punished for mistakes and improve over time because they learn from not just their mistakes but those of others. Enable fact-driven decision-making by deferring to the data or code in question whenever possible. Drive continuous improvement in system reliability and usability. Required Skills And Experience At least 5 years of experience developing and optimizing systems software. Deep expertise (can speak both to system level and implementation detail) in at least two of: virtualization storage service modeling & REST API/SDK generation scientific or high-performance computing kernel development Natural curiosity or drive to learn about new or adjacent technologies. Experience designing, developing, and/or troubleshooting distributed systems. Comfort with at least one systems programming language (C/C++, golang) and one scripting language (python, bash). Comfort with shells on *nix family systems. B.S. degree or equivalent experience in Computer Science or a related field. Preferred Qualifications: Experience with low-level monitoring & profiling (e.g. pcm, perf, bpf). Experience with, or hobbyist interest in, distributed elastic AI / LLM CPU inference (e.g. OpenVino, llama.cpp) Familiarity with, or interest in, SingleStore or other distributed SQL databases. SingleStore delivers our cloud-native database with the speed and scale to power the world’s data-intensive applications. With a distributed SQL database that introduces simplicity to your data architecture by unifying transactions and analytics, SingleStore empowers digital leaders to deliver exceptional, real-time data experiences to their customers. SingleStore is venture-backed and headquartered in San Francisco with offices in Sunnyvale, Raleigh, Seattle, Boston, London, Lisbon, Bangalore, Dublin and Kyiv. Consistent with our commitment to diversity & inclusion, we value individuals with the ability to work on diverse teams and with a diverse range of people. To all recruitment agencies: SingleStore does not accept agency resumes. Please do not forward resumes to SingleStore employees. SingleStore is not responsible for any fees related to unsolicited resumes and will not pay fees to any third-party agency or company that does not have a signed agreement with the Company. SingleStore values individuals for their unique skills and experiences, and we’re proud to offer roles in a variety of locations across the United States. Salary is based on permissible, non-discriminatory factors such as skills, experience, and geographic location, and is just one part of our total compensation and benefits package. Certain roles are also eligible for additional rewards, including merit increases and annual bonuses. For candidates residing in California, please see our California Recruitment Privacy Notice . For candidates residing in the EEA, UK, and Switzerland, please see our EEA, UK, and Swiss Recruitment Privacy Notice. Req ID: ENG00428

Location: United States At Flosum , we are building the world's best software for the modern enterprise. Our team is passionate about crafting elegant, high-performance products that delight our customers and set a new bar for engineering excellence. We combine deep expertise in cloud-native development with a relentless focus on quality, speed, and innovation. Every line of code we ship is built to scale, built to last, and built to make a real difference for the businesses that rely on us. We are a company where technologists lead, ideas win on merit, and shipping great software fast is a core value—not a slogan. If you believe world-class engineering teams are the ones that move quickly and build things right, you'll feel at home here. About the Role We are hiring a Director of Software Development to lead a team of 10 engineers building and scaling our Node.js and Salesforce-integrated products. This is a hands-on leadership role for a technical architect at heart who can compress delivery schedules, drive developer velocity, and own the performance of the overall solution. You will be the single point of accountability for turning our roadmap into shipped software—on time, at quality, and at scale. What You'll Own Lead, coach, and grow a team of 10 full-stack developers across Node.js services and Salesforce customizations. Drive measurable improvements in developer velocity using DORA metrics: lead time, deployment frequency, change failure rate, and MTTR. Compress delivery schedules by breaking epics into small, independently shippable slices and challenging inflated estimates with data. Architect end-to-end solutions spanning Node.js microservices, APIs, event-driven patterns, and Salesforce (Apex, Lightning, integrations). Own solution performance: latency, throughput, scalability, and cost—set SLOs and hold the team accountable to them. Establish estimation, sprint, and release discipline; remove blockers; enforce accountability without burning the team out. Partner with Product, QA, and Infrastructure to align roadmap, capacity, and dependencies. Recruit, onboard, and performance-manage engineers; build a culture of ownership and speed. Requirements 10+ years in software engineering with 5+ years leading development teams of 8–20 engineers. Deep, current hands-on experience with Node.js (Express/Nest, async patterns, performance tuning, microservices). Working knowledge of the Salesforce platform—Apex, Lightning Web Components, Flows, REST/Platform Events, and Node.js↔Salesforce integration patterns. Proven technical architect background: designed distributed systems, API contracts, data models, and performance-critical solutions in production. Track record of schedule compression —case studies where you measurably reduced cycle time or pulled in release dates without sacrificing quality. Strong estimation and planning discipline in Agile/Scrum or Kanban environments. Experience driving solution performance : profiling, caching, query optimization, horizontal scaling, and observability (APM, logs, traces). Cloud-native delivery experience (AWS preferred) with CI/CD, IaC, and modern DevOps practices. Excellent stakeholder communication—can negotiate scope vs. time vs. quality with executives. Success Metrics (First 6–12 Months) Reduce average lead time for changes and increase deployment frequency to meet DORA "high" or "elite" benchmarks. Ship the current roadmap on a compressed timeline agreed with leadership. Improve estimate accuracy (commit vs. deliver) to within an agreed tolerance. Meet or exceed performance SLOs for the Node.js + Salesforce solution stack. Retain and level-up the existing team while filling any skill gaps. Why Flosum At Flosum, we believe great software is built by great teams—and great teams are built by leaders who care deeply about both the craft and the people. You will have the autonomy, the talent, and the mandate to build something exceptional. If you want to lead a team that is setting the standard for what world-class software looks like, we want to talk to you.

Location: Ukraine At Flosum , we are building the world's best software for the modern enterprise. Our team is passionate about crafting elegant, high-performance products that delight our customers and set a new bar for engineering excellence. We combine deep expertise in cloud-native development with a relentless focus on quality, speed, and innovation. Every line of code we ship is built to scale, built to last, and built to make a real difference for the businesses that rely on us. We are a company where technologists lead, ideas win on merit, and shipping great software fast is a core value—not a slogan. If you believe world-class engineering teams are the ones that move quickly and build things right, you'll feel at home here. About the Role We are hiring a Director of Software Development to lead a team of 10 engineers building and scaling our Node.js and Salesforce-integrated products. This is a hands-on leadership role for a technical architect at heart who can compress delivery schedules, drive developer velocity, and own the performance of the overall solution. You will be the single point of accountability for turning our roadmap into shipped software—on time, at quality, and at scale. What You'll Own Lead, coach, and grow a team of 10 full-stack developers across Node.js services and Salesforce customizations. Drive measurable improvements in developer velocity using DORA metrics: lead time, deployment frequency, change failure rate, and MTTR. Compress delivery schedules by breaking epics into small, independently shippable slices and challenging inflated estimates with data. Architect end-to-end solutions spanning Node.js microservices, APIs, event-driven patterns, and Salesforce (Apex, Lightning, integrations). Own solution performance: latency, throughput, scalability, and cost—set SLOs and hold the team accountable to them. Establish estimation, sprint, and release discipline; remove blockers; enforce accountability without burning the team out. Partner with Product, QA, and Infrastructure to align roadmap, capacity, and dependencies. Recruit, onboard, and performance-manage engineers; build a culture of ownership and speed. Requirements 10+ years in software engineering with 5+ years leading development teams of 8–20 engineers. Deep, current hands-on experience with Node.js (Express/Nest, async patterns, performance tuning, microservices). Working knowledge of the Salesforce platform—Apex, Lightning Web Components, Flows, REST/Platform Events, and Node.js↔Salesforce integration patterns. Proven technical architect background: designed distributed systems, API contracts, data models, and performance-critical solutions in production. Track record of schedule compression —case studies where you measurably reduced cycle time or pulled in release dates without sacrificing quality. Strong estimation and planning discipline in Agile/Scrum or Kanban environments. Experience driving solution performance : profiling, caching, query optimization, horizontal scaling, and observability (APM, logs, traces). Cloud-native delivery experience (AWS preferred) with CI/CD, IaC, and modern DevOps practices. Excellent stakeholder communication—can negotiate scope vs. time vs. quality with executives. Success Metrics (First 6–12 Months) Reduce average lead time for changes and increase deployment frequency to meet DORA "high" or "elite" benchmarks. Ship the current roadmap on a compressed timeline agreed with leadership. Improve estimate accuracy (commit vs. deliver) to within an agreed tolerance. Meet or exceed performance SLOs for the Node.js + Salesforce solution stack. Retain and level-up the existing team while filling any skill gaps. Why Flosum At Flosum, we believe great software is built by great teams—and great teams are built by leaders who care deeply about both the craft and the people. You will have the autonomy, the talent, and the mandate to build something exceptional. If you want to lead a team that is setting the standard for what world-class software looks like, we want to talk to you.

Location: United Kingdom At Flosum , we are building the world's best software for the modern enterprise. Our team is passionate about crafting elegant, high-performance products that delight our customers and set a new bar for engineering excellence. We combine deep expertise in cloud-native development with a relentless focus on quality, speed, and innovation. Every line of code we ship is built to scale, built to last, and built to make a real difference for the businesses that rely on us. We are a company where technologists lead, ideas win on merit, and shipping great software fast is a core value—not a slogan. If you believe world-class engineering teams are the ones that move quickly and build things right, you'll feel at home here. About the Role We are hiring a Director of Software Development to lead a team of 10 engineers building and scaling our Node.js and Salesforce-integrated products. This is a hands-on leadership role for a technical architect at heart who can compress delivery schedules, drive developer velocity, and own the performance of the overall solution. You will be the single point of accountability for turning our roadmap into shipped software—on time, at quality, and at scale. What You'll Own Lead, coach, and grow a team of 10 full-stack developers across Node.js services and Salesforce customizations. Drive measurable improvements in developer velocity using DORA metrics: lead time, deployment frequency, change failure rate, and MTTR. Compress delivery schedules by breaking epics into small, independently shippable slices and challenging inflated estimates with data. Architect end-to-end solutions spanning Node.js microservices, APIs, event-driven patterns, and Salesforce (Apex, Lightning, integrations). Own solution performance: latency, throughput, scalability, and cost—set SLOs and hold the team accountable to them. Establish estimation, sprint, and release discipline; remove blockers; enforce accountability without burning the team out. Partner with Product, QA, and Infrastructure to align roadmap, capacity, and dependencies. Recruit, onboard, and performance-manage engineers; build a culture of ownership and speed. Requirements 10+ years in software engineering with 5+ years leading development teams of 8–20 engineers. Deep, current hands-on experience with Node.js (Express/Nest, async patterns, performance tuning, microservices). Working knowledge of the Salesforce platform—Apex, Lightning Web Components, Flows, REST/Platform Events, and Node.js↔Salesforce integration patterns. Proven technical architect background: designed distributed systems, API contracts, data models, and performance-critical solutions in production. Track record of schedule compression —case studies where you measurably reduced cycle time or pulled in release dates without sacrificing quality. Strong estimation and planning discipline in Agile/Scrum or Kanban environments. Experience driving solution performance : profiling, caching, query optimization, horizontal scaling, and observability (APM, logs, traces). Cloud-native delivery experience (AWS preferred) with CI/CD, IaC, and modern DevOps practices. Excellent stakeholder communication—can negotiate scope vs. time vs. quality with executives. Success Metrics (First 6–12 Months) Reduce average lead time for changes and increase deployment frequency to meet DORA "high" or "elite" benchmarks. Ship the current roadmap on a compressed timeline agreed with leadership. Improve estimate accuracy (commit vs. deliver) to within an agreed tolerance. Meet or exceed performance SLOs for the Node.js + Salesforce solution stack. Retain and level-up the existing team while filling any skill gaps. Why Flosum At Flosum, we believe great software is built by great teams—and great teams are built by leaders who care deeply about both the craft and the people. You will have the autonomy, the talent, and the mandate to build something exceptional. If you want to lead a team that is setting the standard for what world-class software looks like, we want to talk to you.