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Location: London Office Workplace: Hybrid Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation. As a Premium Support Engineer at Replit, you’ll be the front line for our highest-value customers — delivering fast, expert, and reliable technical support when it matters most. You’ll handle complex product issues, guide customers through critical incidents, and ensure every interaction meets the highest standard of quality and speed. Replit is at the forefront of AI-driven software development, and how we support customers is constantly evolving. You’ll play a critical role in shaping how Premium Support adapts to new products, new customer expectations, and AI-assisted workflows, operating effectively in ambiguity and driving clarity for your team. You’ll combine deep technical troubleshooting with calm, confident communication to keep builders moving — whether it’s an enterprise team deploying at scale or a top-tier developer relying on Replit to power their business. IN THIS ROLE YOU WILL: - Serve as the trusted front-line contact for large enterprise customers, guiding them on AI prompting best practices, resolving bugs, and turning feedback into a better product experience, whilst adhering to strict SLAs. - Diagnose, reproduce, and resolve complex technical issues across the Replit platform. - Escalate and track high-impact issues with Product and Engineering, ensuring timely fixes and transparent communication. - Lead customer-facing communications during outages or incidents. - Analyse recurring issues and identify process and documentation improvements to reduce time-to-resolution - Build and update internal tooling, automation, and documentation that improves team efficiency. - Partner with Engineering, Product, Sales and other internal teams to ensure Premium customers receive a consistent, high-quality experience. - Help onboard and mentor other support engineers, raising the team’s overall bar for responsiveness and quality. REQUIRED SKILLS AND EXPERIENCE: - 4+ years in technical support, developer support, or systems engineering. - Experience managing and delivering against operational SLAs for enterprise accounts - Strong hands-on debugging experience with JavaScript, Python, or similar languages, including the ability to read and reason through an unfamiliar codebase. - Working knowledge of APIs, databases, and Git-based CI/CD workflows. - Excellent written and verbal communication skills, able to convey technical concepts clearly to both technical and non-technical stakeholders. - Familiarity with support tools like Zendesk, Linear, Slack, and internal debugging utilities. - Proven ability to manage multiple high-priority issues simultaneously while maintaining accuracy and composure. - A proactive, ownership-driven mindset and genuine empathy for customers building on Replit. NICE TO HAVE: - Has used Replit in the last 3 to 6 months. - Experience working with IDEs, terminals, or other common developer tools. - Experience with AI tools (Claude, ChatGPT, etc.). - Exposure to cloud infrastructure (AWS, GCP, or similar). WHAT WE VALUE: - Problem-solving mindset: Ability to approach complex operational challenges systematically and devise effective solutions - Self-directed and autonomous: Capable of working independently while collaborating effectively with cross-functional teams - Strong communication skills: Ability to explain complex technical concepts to both technical and non-technical audiences - Continuous learning: Passion for staying current with industry best practices and new technologies - Focus on automation: Strong belief in automating repetitive tasks and building self-healing systems Full-Time Employee Benefits Include: 💰 Competitive Salary & Equity 💹 401(k) Program with a 4% match (US Only) ⚕️ Health, Dental, Vision and Life Insurance 🩼 Short Term and Long Term Disability 🚼 Paid Parental, Medical, Caregiver Leave 🏝 Flexible Time Off (FTO) + Holidays 🚗 Commuter Benefits (In-Office & US Only) 📱 Monthly Wellness Stipend 🧑‍💻 Autonomous Work Environment 🖥 In Office Set-Up Reimbursement (In-Office Only) 🚀 Quarterly Team Gatherings ☕ In Office Amenities (In-Office Only) Want to learn more about what we are up to? - Self-driving Company https://replit.com/blog/self-driving-company - Replit Agent at Scale https://replit.com/blog/evaluating-and-improving-agent-at-scale - AI Adoption https://replit.com/blog/ai-adoption - Build Open-Source Apps https://replit.com/build/open-source-app-builder   Interviewing + Culture at Replit - Operating Principles https://blog.replit.com/operating-principles - Reasons not to work at Replit https://blog.replit.com/reasons-not-to-join-replit To achieve our mission of making programming more accessible around the world, we need our team to be representative of the world. We welcome your unique perspective and experiences in shaping this product. We encourage people from all kinds of backgrounds to apply, including and especially candidates from underrepresented and non-traditional backgrounds.

Location: Remote - Singapore Workplace: Remote Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation. As a Premium Support Engineer at Replit, you’ll be the front line for our highest-value customers — delivering fast, expert, and reliable technical support when it matters most. You’ll handle complex product issues, guide customers through critical incidents, and ensure every interaction meets the highest standard of quality and speed. Replit is at the forefront of AI-driven software development, and how we support customers is constantly evolving. You’ll play a critical role in shaping how Premium Support adapts to new products, new customer expectations, and AI-assisted workflows, operating effectively in ambiguity and driving clarity for your team. You’ll combine deep technical troubleshooting with calm, confident communication to keep builders moving — whether it’s an enterprise team deploying at scale or a top-tier developer relying on Replit to power their business. IN THIS ROLE YOU WILL: - Provide swift, high-priority support to Premium customers, responding within strict SLAs. - Diagnose, reproduce, and resolve complex technical issues across the Replit platform. - Escalate and track high-impact issues with Product and Engineering, ensuring timely fixes and transparent communication. - Lead customer-facing communications during outages or incidents. - Identify recurring issues and collaborate internally to reduce time-to-resolution. - Contribute to internal tooling, automation, and documentation that improves team efficiency. - Partner with Engineering, Product, Sales and other internal teams to ensure Premium customers receive a consistent, high-quality experience. - Help onboard and mentor other support engineers, raising the team’s overall bar for responsiveness and quality. REQUIRED SKILLS AND EXPERIENCE: - 3+ years in technical support, developer support, or systems engineering. - Experience providing rapid-response support to high-value or enterprise customers. - Strong debugging skills with JavaScript, Python, or similar languages. - Excellent written and verbal communication under time pressure — able to convey technical concepts clearly and calmly. - Familiarity with support tools like Zendesk, Linear, Slack, and internal debugging utilities. - Proven ability to manage multiple high-priority issues simultaneously while maintaining accuracy and composure. - A proactive, ownership-driven mindset and genuine empathy for customers building on Replit. NICE TO HAVE: - Has used Replit in the last 3 to 6 months. - Experience working with IDEs, terminals, or other common developer tools. - Experience with AI tools (Claude, ChatGPT, etc.) WHAT WE VALUE: - Problem-solving mindset: Ability to approach complex operational challenges systematically and devise effective solutions - Self-directed and autonomous: Capable of working independently while collaborating effectively with cross-functional teams - Strong communication skills: Ability to explain complex technical concepts to both technical and non-technical audiences - Continuous learning: Passion for staying current with industry best practices and new technologies - Focus on automation: Strong belief in automating repetitive tasks and building self-healing systems Note: This role will begin as remote, with plans to transition to a hybrid model once we establish a local office presence. Full-Time Employee Benefits Include: 💰 Competitive Salary & Equity 💹 401(k) Program with a 4% match (US Only) ⚕️ Health, Dental, Vision and Life Insurance 🩼 Short Term and Long Term Disability 🚼 Paid Parental, Medical, Caregiver Leave 🏝 Flexible Time Off (FTO) + Holidays 🚗 Commuter Benefits (In-Office & US Only) 📱 Monthly Wellness Stipend 🧑‍💻 Autonomous Work Environment 🖥 In Office Set-Up Reimbursement (In-Office Only) 🚀 Quarterly Team Gatherings ☕ In Office Amenities (In-Office Only) Want to learn more about what we are up to? - Self-driving Company https://replit.com/blog/self-driving-company - Replit Agent at Scale https://replit.com/blog/evaluating-and-improving-agent-at-scale - AI Adoption https://replit.com/blog/ai-adoption - Build Open-Source Apps https://replit.com/build/open-source-app-builder   Interviewing + Culture at Replit - Operating Principles https://blog.replit.com/operating-principles - Reasons not to work at Replit https://blog.replit.com/reasons-not-to-join-replit To achieve our mission of making programming more accessible around the world, we need our team to be representative of the world. We welcome your unique perspective and experiences in shaping this product. We encourage people from all kinds of backgrounds to apply, including and especially candidates from underrepresented and non-traditional backgrounds.

Location: San Francisco, CA | New York City, NY 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 builds and operates the compute that trains and serves our frontier models. Behind every cluster is a physical supply chain: servers, accelerators, networking equipment, spares, and tooling that have to be received, inspected, secured, tracked, and delivered to the right site at the right time. The Warehousing and Logistics team owns that flow, and this role runs its day-to-day operations in the US. As Warehouse and Logistics Manager, you'll report to our Global Warehousing and Logistics Lead and own the operational management of all direct and third party logistics providers) of inbound receiving, storage, inventory control, kitting, and outbound shipments to our data center sites and partners. You'll manage the relationships and performance of our third-party warehouses, carriers, and freight forwarders, and you'll be the person on the ground when a shipment is late, a pallet arrives damaged, or a site needs a critical spare tomorrow morning. This is a hands-on operational role on a small team, so you'll move between running the daily floor rhythm and building the processes, controls, and metrics that let us scale as our hardware footprint grows. You should be comfortable making decisions with incomplete information, communicating clearly with engineers and vendors alike, and holding a high bar for accuracy and chain of custody on high-value, security-sensitive equipment. Key responsibilities Oversee the day-to-day warehouse operations across locations in North America, including receiving, inspection, put-away, storage, cycle counting, kitting, and outbound fulfillment to data center sites for the Anthropic owned warehouse and those run by Anthropic’s partners/ third party logistics providers Own inventory accuracy and asset tracking for all infrastructure hardware, compute, MEP, spares, and consumables, maintaining clear chain of custody from dock to rack Plan and execute domestic freight and coordinate international shipments, selecting carriers, managing schedules, and resolving exceptions such as delays, damage, and shortages Manage third-party logistics providers, carriers, and freight forwarders, including onboarding, service-level tracking, performance reviews, and cost management Coordinate closely with data center operations, hardware engineering, procurement, and security teams to align delivery schedules with deployment timelines and site readiness Operate reverse logistics for returns, RMAs, and end-of-life equipment, including secure handling and disposition of storage devices in partnership with security and compliance Build and document standard operating procedures, checklists, and controls for warehouse and shipping activities, and train warehouse staff and vendors on them Maintain compliance with safety, hazardous materials, export control, and customs requirements for the equipment we handle Define and report on operational metrics such as receiving cycle time, inventory accuracy, on-time delivery, and freight cost, and use them to drive continuous improvement Support capacity planning for warehouse space, staffing, and equipment as our hardware volumes and site count grow Minimum qualifications Experience managing warehouse or logistics operations for physical goods, including receiving, inventory control, and outbound shipping Hands-on experience with a warehouse management or inventory management system, and comfort working in spreadsheets to analyze inventory and shipment data Experience managing third-party logistics providers or carriers, including negotiating service levels and holding vendors accountable to them Working knowledge of domestic freight (LTL, FTL, and parcel) and the documentation that goes with it Familiarity with safety and regulatory requirements for shipping and storing IT or electronic equipment, such as hazardous materials rules for lithium batteries Strong written and verbal communication skills, with the ability to coordinate across technical and non-technical teams and external partners Demonstrated ability to build processes from scratch and keep operations running reliably as volume and complexity increase Ability to travel to warehouse and data center sites in the US as needed Preferred qualifications Experience handling data center or enterprise IT hardware, including servers, GPUs or other accelerators, and networking equipment Experience with international freight forwarding, customs brokerage, and export control requirements such as EAR Experience with secure chain-of-custody programs, asset tagging, and data-bearing device sanitization or destruction Experience directly managing warehouse staff or contract labor Familiarity with ERP or procurement systems and how inventory data flows between them and warehouse systems Experience with lean, Six Sigma, or similar continuous improvement methods Forklift certification or experience overseeing material handling equipment operations Experience supporting rapid infrastructure buildouts, whether in cloud, telecom, or another hardware-intensive industry 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: $405,000 — $485,000 USD 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. 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: Remote GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role Site Reliability Engineers keep GitLab's user-facing services and production systems running reliably at scale. They combine software engineering with operational excellence, applying sound engineering principles, automation, and continuous improvement to build, operate, and evolve our production infrastructure. This is a single application for Site Reliability Engineering opportunities across Infrastructure Platforms. Rather than asking you to choose the right team or level upfront, we evaluate your skills holistically and match you to the opportunity that best aligns with your experience and our hiring needs. We hire Site Reliability Engineers from Intermediate through Senior Staff across multiple Infrastructure Platforms teams. We don't expect every candidate to have experience with every technology in our environment. We're looking for engineers with strong technical fundamentals, a growth mindset, and the ability to learn quickly. We'll support you in becoming successful with GitLab's tools, systems, and ways of working. Please note: This position is open to candidates based in the United Kingdom only. Candidates based in the United States or Canada can apply to this posting: Site Reliability Engineer, Infrastructure Platforms — AMER (Intermediate to Senior Staff) How our SRE hiring works Because this is a single application for SRE roles across Infrastructure Platforms, our process is built to evaluate you once and match you well, rather than interviewing separately for every team. Recruiter Screen: A conversation about your background, what you're looking for, and the level and teams that fit, so we can point your process in the right direction. Core Technical: The shared assessment every SRE candidate takes, regardless of eventual team. A low-stress, collaborative discussion covering system architecture and incident review. Hiring Manager Interview: A conversation about ownership, judgment, execution, collaboration, and growth, the non-technical signals that make an SRE effective at GitLab. Peer Technical: Team-specific depth, run by SREs from the team you're most likely to join, focused on the problems that team actually works on. Skip-Level Interview: A conversation with a senior leader on values alignment, and how you'll work across teams. After your interviews, we consider your performance alongside our current hiring needs to confirm the level and team where you'll do your best work. Interview results are a major factor, and final placement also reflects our active hiring priorities at the time. We’ll calibrate your level throughout the interview process based on the scope and impact of your experience. Intermediate: You independently deliver meaningful reliability improvements within a defined area. Senior: You own complex reliability work end to end and raise the effectiveness of your team. Staff: You shape reliability across multiple teams, solving systemic problems and creating approaches others can reuse. Senior Staff: You set technical direction across a broader Infrastructure area and influence reliability strategy at organizational scale. What you'll do Keep user-facing services and production systems reliable, scalable, and efficient Build automation and tooling that reduces toil and replaces manual work with repeatable, infrastructure-as-code-driven workflows Operate and troubleshoot production systems on Kubernetes, including deployments, rollouts, and scaling Write and maintain infrastructure as code, and ship changes safely through CI/CD and GitOps Participate in on-call, triage alerts, follow and improve runbooks, and escalate appropriately Contribute to the observability stack, using metrics, logs, and SLOs to detect symptoms early rather than just outages Take part in incident response and post-incident reviews, turning learnings into changes in automation and process Document runbooks, architecture decisions, and reviews so your findings become repeatable practices What you'll bring Experience keeping production systems reliable, combining an operations mindset with real software engineering practice Experience building net-new infrastructure tooling and automation, not just configuring existing tools. For example, Terraform modules, Kubernetes operators or controllers, or production automation and services written from scratch The ability to read, debug, and reason about code. Most of our teams work in Go; some work in Ruby. You can discuss a piece of code's behavior, performance, and failure modes Experience with infrastructure as code, and with Kubernetes and its ecosystem, at a depth appropriate to your level Hands-on experience with at least one major cloud provider (GCP or AWS) Familiarity with observability practices, including metrics, logging, alerting, and SLOs or SLIs, and using data to inform operational decisions Comfort participating in on-call and incident response, with a structured approach to troubleshooting under pressure Strong written communication and the ability to operate as a manager-of-one in an async, distributed environment A track record of using automation, and increasingly AI, to reduce toil and improve how you and your team work Alignment with GitLab's values and a commitment to working in accordance with them About the team Infrastructure Platforms is responsible for the availability, reliability, performance, and scalability of GitLab’s user-facing services, most notably GitLab.com . The organization spans teams across Production Engineering , GitLab Dedicated , GitLab Delivery , and Developer Experience , covering everything from the production fleet and networking platform to observability, incident response, deployment infrastructure, tenant scale, and our single-tenant Dedicated offering. We are a globally distributed, remote-first organization that works asynchronously, favors automation over toil, and uses monitoring, metrics, and clear ownership to continuously improve the reliability of GitLab at scale. For more on how we work, see the Infrastructure Handbook Page . How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Location: San Francisco, CA; New York, NY Workplace: OnSite ABOUT US Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia. We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do. Our co-founders are Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace. WHAT YOU’LL DO As an Agent Strategist https://sierra.ai/blog/agent-strategist-your-phd-in-applied-ai, you own how Sierra’s AI agents come to life for our customers — from first pilot to a production agent handling thousands of conversations a day. You sit at the intersection of product, building agents and customer-facing work, and stay just as close to the technology as you are to the people you build for. You transform a customer’s thorniest, highest-stakes problems into agents that measurably move their business. - Own the Agent Development Life Cycle https://sierra.ai/blog/agent-development-life-cycle. Take agents from initial scope through conversation design, tooling, and evaluation, to launch and continuous iteration in production — translating business goals into an agent that outperforms, and tuning relentlessly until it’s the best version of itself in the real world. You’ll have real ownership and autonomy over the outcome. - Be the trusted strategic advisor to enterprise leaders. Sit shoulder-to-shoulder with our customers’ executives, understand what success actually means to their business, and shape the AI strategy that gets them there. - Partner with the customer’s working teams day to day. Run working sessions, troubleshoot the agent as issues come up, and make the calls that keep the build on track for launch. - Directly impact product. Surface unmet needs from your customer work, and feed them back to research and platform to shape where Sierra goes next. EXAMPLE PROJECTS These are the kinds of projects that strategists on our team have worked on recently: - Scope and launch a subscription-retention agent for a large telecommunications or media company that consistently outperforms human agents at saving at-risk customers. - Stand up an agent for a commerce customer that troubleshoots a broken device end-to-end and personalizes product recommendations in the same conversation. - Redesign the conversation flows for a financial services agent so it can handle complex, regulated interactions — and convert a pilot into a multi-team production deployment. See our financial services blog https://sierra.ai/blog/five-ways-to-use-ai-agents-financial-services for examples. - Partner with product on a net-new capability — a new agent architecture or self-service tooling — using a live customer as the design partner. - Define the evaluation and quality bar for a new agent, then use those metrics to drive a measurable lift in outcome https://sierra.ai/blog/outcome-based-pricing-for-ai-agents week over week. WHAT YOU’LL BRING - Customer obsession. Genuine energy being in front of customers — understanding their business and needs, thriving in complex organizations, and building trusted relationships. - Communication. Clear, direct, and persuasive across technical and non-technical audiences. - Strategic problem-solving in ambiguity. Strong analytical and critical-thinking skills to break down complex problems, spot risks early, and adapt as things change fast. - Technical aptitude. Comfortable engaging directly with technical concepts - reading API documentation, understanding data models and system architecture, and following engineering tradeoffs in a design discussion. - Ownership and delivery. A track record of running multiple complex, high-visibility projects at once and driving them to outcomes. EVEN BETTER... - Experience building or deploying AI/LLM agents in production — hands-on with the tools behind them (eval frameworks, agent tooling, RAG, prompt engineering) — working closely with technical counterparts. - You’ve been a founder, founding team member, or operator — you know how to balance craft, ownership, and speed. - A degree in Computer Science, Engineering, Mathematics, a related technical field, or equivalent practical experience — and/or an MBA or comparable experience at the intersection of technology and business. OUR VALUES - Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work. - Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it. - Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve. - Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time. - Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements. WHAT WE OFFER We want our benefits to reflect our values and offer the following to full-time employees: - Flexible (unlimited) paid time off - Medical, dental, and vision benefits for you and your family - Life insurance and disability benefits - Retirement plan dependent on country of employment - Parental leave - Fertility and family building benefits through Carrot - Lunch, as well as delicious snacks and coffee to keep you energized  - Discretionary benefit stipend giving people the ability to spend where it matters most - Free alphorn lessons These benefits are further detailed in Sierra's policies, may vary by region, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies. BE YOU, WITH US We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.

Location: NAMER and LatAm About the Team IT Operations at ClickHouse keeps the company's internal systems, tooling, and infrastructure running securely and efficiently — from identity and endpoint management to the platforms every team relies on to do their work. This role sits on a newly formed AI Engineering function within IT Operations, created to centralize AI Ops rather than leave it disjointed across teams. The team — a Technical Lead plus one or two AI Ops Engineers — reporting to the IT Business Systems Manager, and brings the same rigor IT Ops applies to systems and infrastructure to the design, deployment, and lifecycle management of AI solutions and the agents they power. About the Role We are looking for an AI Ops Engineer to help build and run a new AI Ops function at ClickHouse. You will work under a Technical Lead to design, build, and maintain AI-driven solutions across the business (People, Finance, Legal, and beyond) and engineering — building integrations, maintaining agents, supporting cost visibility, and helping train the org on AI best practices. This is a hands-on execution role: you will move quickly, ship real workflows, and help the team learn what works as we centralize AI Ops for the first time. Success This is a net-new function; specific goals will be set with your Technical Lead. Directionally, the team is measured on: - Measurable reduction in redundant or inefficient AI tool and model spend through right-sizing, routing, and cost visibility - A working framework for evaluating and selecting models/tools by cost, latency, accuracy, and risk, adopted across teams - Agents and AI workflows built, deployed, and maintained cross-functionally (People, Finance, Legal, Engineering, and beyond) - Improved AI fluency and literacy org-wide, measured through training participation, adoption of approved tools, and reduced shadow-AI usage - Established identity, access, audit, and lifecycle practices for AI agents that satisfy Security and GRC requirements YOU WILL Build AI-Powered Solutions - Develop and deploy solutions using LLMs, automation frameworks, and internal tooling, for both business and engineering use cases - Integrate AI into existing systems (HRIS, ATS, ERP, procurement orchestration, ticketing, CI/CD, developer tooling) and legal infrastructure like CLM or Matter Management - Build workflows such as document generation, data extraction, knowledge retrieval, and decision support across systems and knowledge bases - Use modern integration standards (e.g., MCP) to give AI models and agents direct, secure access to internal knowledge and context Support Model Evaluation - Help test and benchmark AI models against accuracy, latency, cost, and safety criteria - Support model risk assessments and due diligence alongside Security and GRC - Help implement and maintain the internal model routing solution Support Cost Visibility - Help build dashboards and reporting for AI/LLM spend across teams and tools - Implement tagging, monitoring, and alerting for cost anomalies - Identify and execute on cost-optimization opportunities (prompt efficiency, caching, model right-sizing) Maintain Agent Infrastructure - Help provision, credential, and de-provision AI agent access - Support deployment, versioning, monitoring, and retirement of agents - Maintain and patch agent infrastructure and dependencies - Help maintain audit trails and logging for agent actions Deliver Training and Enablement - Design and deliver company-wide AI training programs tailored to different audiences — non-technical business users through engineers - Create lightweight playbooks, guides, templates, and reusable components for safe, effective AI adoption - Run onboarding sessions, office hours, and workshops to build AI fluency and drive adoption of approved tools and agents - Establish a feedback loop with users to continuously improve training content, tooling, and documentation YOU BRING You are not expected to have every skill below — tell us which are your strongest. - Experience building with modern AI/ML tools and frameworks - Experience building and consuming APIs, developing data pipelines, and architecting system integrations - Working knowledge of cloud infrastructure (AWS, GCP, or Azure) and experience hosting or operating services in production - Experience comparing and evaluating AI models across providers, including trade-offs between cost, latency, and quality - Comfort working with usage and billing data to build cost visibility, forecasting, or optimization - Ability to understand both business and engineering workflows and translate them into technical solutions - Experience working with or integrating business systems as well as engineering/developer tooling - Experience creating training materials, documentation, or workshops for mixed technical/non-technical audiences - Understanding of data privacy, security, and compliance considerations - Experience implementing safeguards in AI systems, including identity and access controls for automated/non-human actors PERKS - Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries. - Healthcare - Employer contributions towards your healthcare. - Equity in the company - Every new team member who joins our company receives stock options. - Time off - Flexible time off in the US, generous entitlement in other countries. - A USD$500 Home office setup if you’re a remote employee. - Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. CULTURE - WE ALL SHAPE IT As part of a rapidly scaling start-up, you will be instrumental in shaping our culture. Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse. EQUAL OPPORTUNITY & PRIVACY ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.

Location: Boston, MA Workplace: OnSite At WHOOP, we're on a mission to unlock and inspire performance for life. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives. As a Senior Manager GRC you will play a critical role in shaping, driving, and leading our GRC team towards supporting ongoing operation and enhancement of the overall information security governance program, assessing the risk landscape in a fast-paced, high-growth environment. This role will strategically craft the roadmap in collaboration with stakeholders across the business and fulfill growing security needs assessing risk landscape across WHOOP. In addition to core GRC responsibilities, you will partner closely with functions across Product, Engineering, Data Analytics, and Legal to meaningfully move the security posture of the company. We are seeking a leader and strategic partner with prior experience driving GRC programs for technology teams. RESPONSIBILITIES - Lead the development, implementation, and continuous evolution of the GRC program, driving both strategy and hands-on execution. - Lead the development, implementation, and ongoing management of scalable security control frameworks, policies, standards, and security awareness programs, contributing directly while guiding the team’s work to strengthen organizational compliance. - Support incident response activities and translated into actionable improvements across the risk and compliance program. - Actively manage the enterprise risk register, driving risk prioritization, and delivering executive-level reporting. - Manage, mentor, and develop GRC analysts while balancing hands-on execution with effective delegation and team enablement as the program scales. - Evaluate, implement, and continuously improve GRC program, tools, processes, and metrics. QUALIFICATIONS - 10+ years of experience in GRC, or information security / cybersecurity, with 5+ years in managing GRC, information security, or cybersecurity professionals. - Demonstrated success scaling GRC programs whilst crafting clear and efficient team objectives and programs. - Deep understanding of regulations and standards including, but not limited to ISO 27001, SOC 2, GDPR, PCI, NIST CSF, and privacy/security obligations - Experience building or integrating GRC programs in enterprise security to improve overall security posture of the organization - Excellent communication, interpersonal, and leadership skills with the ability to influence across teams and levels - A minimum bachelor’s degree in any discipline. Computer science, cyber security and risk or technology degrees preferred. BONUS QUALIFICATIONS - Certifications such as CISA, CISSP, CIPP/E, CRISC, or ISO Lead Auditor. - Background in leading Enterprise Risk, Cybersecurity Risk, Information Security programs. - Background in establishing DevSecOps, AI Governance, and SSDLC guardrails. ABOUT YOU - You are a strategic and people-focused leader who thrives on balancing hands-on oversight with long-term organizational growth. - You are a risk aware leader with ability to translate security risks in business terms to influence both technical and non-technical teams. - You are passionate about building bridges across different departments and can operate confidently in both strategic and security control tactical domains. - You believe that security enables innovation, and you lead with integrity fostering a culture that embodies a risk mind-set. This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office. Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply. WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/to determine employment eligibility The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values. At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success. The U.S. base salary range for these full-time positions is $185,000-$205,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training.  In addition to the base salary, the successful candidate will also receive benefits and a generous equity package. These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.

Location: Singapore Workplace: OnSite ABOUT US Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia. We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do. Our co-founders are Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace. WHAT YOU’LL DO - Design and deliver production-grade AI agents https://sierra.ai/blog/meet-the-ai-agent-engineer: You'll build and ship highly performant, reliable, and intuitive AI agents that are central, mission-critical and drive revenue directly to Sierra's growth. These aren't prototypes—they are powerful, scalable systems running in production environments across industries like finance, healthcare, and commerce. - Drive the Agent Development Life Cycle https://sierra.ai/blog/agent-development-life-cycle (ADLC): You'll have complete ownership and autonomy from initial pilot through deployment and continuous iteration. You'll be responsible for building, tuning, and evolving AI agents in production environments, defining the standard for ADLC best practices along the way. - Partner with large enterprises and cutting-edge startups: You’ll work directly with leaders at some of the world’s largest enterprises to understand their most pressing business challenges, and build AI agents that transform how they operate at scale. You'll also partner with the most cutting-edge startups in Silicon Valley, embedding AI agents across their entire business stack to drive innovation and efficiency. - Build the future of the platform: Your direct work with customers will guide the evolution of Sierra's core platform. You'll surface unmet needs, prototype new tools and features, and collaborate with research, product, and platform to shape the future of AI agent development and Sierra's product. EXAMPLE PROJECTS These are some examples of projects that engineers on our team have worked on recently: - Design and build AI agents for large telecommunications and media companies that consistently outperform human agents in managing subscription churn - Develop and refine AI agents capable of navigating complex customer interactions, like troubleshooting a broken device and personalizing product recommendations - Create generalizable AI agent frameworks tailored for industry-specific use cases. See some examples in our financial services blog https://sierra.ai/blog/five-ways-to-use-ai-agents-financial-services! - Facilitate design partnerships for new product initiatives, such as new agent architectures, self-service capabilities, and generative agent development - Experiment with the latest voice models and figure out how to integrate them at scale to enterprise-grade customers WHAT YOU'LL BRING - Experience building and scaling end-to-end production systems - Strong technical problem-solving skills, especially in fast-changing, ambiguous environments - A builder and tinkerer’s mindset with high agency - you find creative ways to overcome obstacles and ship - Comfort working directly with customers to understand their needs and solve real-world problems - Excellent communication skills - clear, direct, and persuasive across technical and non-technical audiences EVEN BETTER... - Experience building or deploying AI/LLM systems in production - Have been a founder or founding engineer - you know what it means to balance craft, ownership, and speed - Familiarity with tools that power today's AI agents: eval frameworks, agent tooling, RAG pipelines, and prompt engineering - Prior experience with React, TypeScript, and/or Go - Previous roles where you interfaced with customers or led technical projects with external stakeholders OUR VALUES - Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work. - Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it. - Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve. - Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time. - Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements. WHAT WE OFFER We want our benefits to reflect our values and offer the following to full-time employees: - Flexible (unlimited) paid time off - Medical, dental, and vision benefits for you and your family - Life insurance and disability benefits - Retirement plan dependent on country of employment - Parental leave - Fertility and family building benefits through Carrot - Lunch, as well as delicious snacks and coffee to keep you energized  - Discretionary benefit stipend giving people the ability to spend where it matters most - Free alphorn lessons These benefits are further detailed in Sierra's policies, may vary by region, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies. BE YOU, WITH US We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.

Location: Singapore Workplace: OnSite ABOUT US Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia. We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do. Our co-founders are Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace. As a Software Engineer Intern, Agent, you'll work directly on production AI agents for Sierra's customers. You'll gain hands-on experience contributing to the design and development of AI agents, shipping features, and learning from real-world use cases at scale. If you're hungry to shape and learn from the most important technological wave in history, come build at Sierra.   WHAT YOU'LL BRING - Pursuing a bachelor's or master's degree in computer science or a related field - Strong technical problem-solving skills, especially in fast-changing, ambiguous environments - A builder and tinkerer’s mindset with high agency - you find creative ways to overcome obstacles and ship - Excellent communication skills - clear, direct, and persuasive across technical and non-technical audiences EVEN BETTER - Experience building or deploying AI/LLM systems in production - Familiarity with tools that power today's AI agents: eval frameworks, agent tooling, RAG pipelines, and prompt engineering - Prior experience with React, TypeScript, and/or Go INTERN QUALIFICATIONS - The intern program is open to students graduating December 2027 - June 2028 - Note: The full benefits listed below are available only to full-time employees. Interns are eligible for a monthly stipend for health insurance, daily lunch, and, of course, free alphorn lessons. OUR VALUES - Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work. - Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it. - Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve. - Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time. - Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements. WHAT WE OFFER We want our benefits to reflect our values and offer the following to full-time employees: - Flexible (unlimited) paid time off - Medical, dental, and vision benefits for you and your family - Life insurance and disability benefits - Retirement plan dependent on country of employment - Parental leave - Fertility and family building benefits through Carrot - Lunch, as well as delicious snacks and coffee to keep you energized  - Discretionary benefit stipend giving people the ability to spend where it matters most - Free alphorn lessons These benefits are further detailed in Sierra's policies, may vary by region, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies. BE YOU, WITH US We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.

Location: Canada; Brazil; Ireland; Cyprus; Portugal; Poland; United Kingdom Workplace: Remote BUILDING THE FUTURE OF OPEN FINANCE Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system. THE TEAM Founded in 2011, Kraken is one of the world's longest-standing crypto platforms, trusted by over 10 million individuals and institutions across the globe. It offers spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients.   THE OPPORTUNITY We are seeking a highly skilled Sr. Manager, Model Risk Management to join our team, focusing on Transaction Monitoring and Customer Risk Assessments models for Anti-Money Laundering (AML) and Combating the Financing of Terrorism (CFT) purposes. The successful candidate will be responsible for ensuring that our Transaction Monitoring, Customer Risk Assessment and Screening models are robust, effective, and compliant with regulatory requirements. - Model Validation: perform independent validation of Transaction Monitoring / Customer Risk Assessment / Screening models, AI models (built in Claude or ChatGPT), including but not limited to: - Reviewing model pre & post development documentation, data quality, accuracy, access and testing methodologies. - Assessing model performance, accuracy, and stability. - Evaluating model risk and identifying potential biases. - Reviewing AI Models for AML/CFT Program - AML/CFT Regulatory Compliance: ensure that Transaction Monitoring and Customer Risk Assessment models comply with relevant AML/CFT regulations, including but not limited to: - EU AML/CFT Directives. - US BSA/AML regulations. - FATF recommendations. - Risk Assessment: conduct risk assessments to identify potential AML/CFT risks associated with Transaction Monitoring and Customer Risk Assessment models, including but not limited to: - Identifying higher-risk customer segments, products, and geographies. - Assessing the effectiveness of controls and mitigants. - Model Monitoring and Maintenance: develop and implement procedures for ongoing model monitoring and maintenance, including but not limited to: - Annual reporting & certification - Tracking model performance and identifying degradation. - Conducting regular model reviews and updates. - Collaboration and Communication: collaborate with various stakeholders, including but not limited to: - Model Engineering and owners. - AML/CFT subject matter experts. - Business units and risk management teams. - Documentation and Reporting: prepare and maintain high-quality documentation, including but not limited to: - Model validation reports. - Risk assessments. - Regulatory compliance reports. - Methodology Development: contribute to the development and maintenance of model validation methodologies, including but not limited to: - Developing and refining model validation frameworks. - Identifying best practices and industry standards.   WHAT YOU BRING - Bachelor's degree in a quantitative field (e.g., mathematics, statistics, computer science, engineering). - 5+ years of experience in model validation, risk management, or a related field, preferably in AML/CFT. - Understanding of international Model Risk Management rules and regulations, such as OCC SR 11-7. - Strong understanding of machine learning and statistical modeling techniques. - Deep understanding of fiat and crypto payment flows - Proficiency in programming languages (e.g., Python, R, SQL). - Experience with data visualization tools (e.g., Tableau, Power BI). - Strong understanding of financial markets, products, and services. - Excellent written and verbal communication skills, with the ability to articulate complex technical concepts to non-technical stakeholders. NICE TO HAVES - Professional certifications (e.g., FRM, CDA, CAP). - Experience with AML/CFT transaction monitoring and Customer Risk Assessment systems - Knowledge of cloud-based technologies. - Experience with agile development methodologies.     Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis. Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution. We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. OUR COMMITMENT Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto. We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision. As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws. Stay connected Follow us on Twitter https://twitter.com/krakenfx Learn on the Kraken Blog https://blog.kraken.com/#:~:text=Enter%20your%20email%20address Connect on LinkedIn https://www.linkedin.com/company/kraken-exchange/ Candidate Privacy Notice https://www.kraken.com/legal/candidate-privacy-notice

Location: London Workplace: OnSite ABOUT US Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia. We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do. Our co-founders are Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace. WHAT YOU'LL DO As an Agent Strategist https://sierra.ai/blog/agent-strategist-your-phd-in-applied-ai, you own how Sierra's AI agents come to life for our customers — from first pilot to a production agent handling thousands of conversations a day. You sit at the intersection of product, building agents and customer-facing work, and stay just as close to the technology as you are to the people you build for. You transform a customer's thorniest, highest-stakes problems into agents that measurably move their business. - Own the Agent Development Life Cycle https://sierra.ai/blog/agent-development-life-cycle. Take agents from initial scope through conversation design, tooling, and evaluation, to launch and continuous iteration in production — translating business goals into an agent that outperforms, and tuning relentlessly until it's the best version of itself in the real world. You'll have real ownership and autonomy over the outcome. - Be the trusted strategic advisor to enterprise leaders. Sit shoulder-to-shoulder with our customers' executives, understand what success actually means to their business, and shape the AI strategy that gets them there. - Partner with the customer's working teams day to day. Run working sessions, troubleshoot the agent as issues come up, and make the calls that keep the build on track for launch. - Directly impact product. Surface unmet needs from your customer work, and feed them back to research and platform to shape where Sierra goes next. EXAMPLE PROJECTS These are the kinds of projects that strategists on our team have worked on recently: - Scope and launch a subscription-retention agent for a large telecommunications or media company that consistently outperforms human agents at saving at-risk customers. - Stand up an agent for a commerce customer that troubleshoots a broken device end-to-end and personalizes product recommendations in the same conversation. - Redesign the conversation flows for a financial services agent so it can handle complex, regulated interactions — and convert a pilot into a multi-team production deployment. See our financial services blog https://sierra.ai/blog/five-ways-to-use-ai-agents-financial-services for examples. - Partner with product on a net-new capability — a new agent architecture or self-service tooling — using a live customer as the design partner. - Define the evaluation and quality bar for a new agent, then use those metrics to drive a measurable lift in outcome https://sierra.ai/blog/outcome-based-pricing-for-ai-agents week over week. WHAT YOU'LL BRING - Customer obsession. Genuine energy being in front of customers — understanding their business and needs, thriving in complex organizations, and building trusted relationships. - Communication. Clear, direct, and persuasive across technical and non-technical audiences. - Strategic problem-solving in ambiguity. Strong analytical and critical-thinking skills to break down complex problems, spot risks early, and adapt as things change fast. - Technical aptitude. Comfortable engaging directly with technical concepts - reading API documentation, understanding data models and system architecture, and following engineering tradeoffs in a design discussion. - Ownership and delivery. A track record of running multiple complex, high-visibility projects at once and driving them to outcomes. EVEN BETTER... - Experience building or deploying AI/LLM agents in production — hands-on with the tools behind them (eval frameworks, agent tooling, RAG, prompt engineering) — working closely with technical counterparts. - You've been a founder, founding team member, or operator — you know how to balance craft, ownership, and speed. - A degree in Computer Science, Engineering, Mathematics, a related technical field, or equivalent practical experience — and/or an MBA or comparable experience at the intersection of technology and business. OUR VALUES - Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work. - Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it. - Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve. - Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time. - Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements. WHAT WE OFFER We want our benefits to reflect our values and offer the following to full-time employees: - Flexible (unlimited) paid time off - Medical, dental, and vision benefits for you and your family - Life insurance and disability benefits - Retirement plan dependent on country of employment - Parental leave - Fertility and family building benefits through Carrot - Lunch, as well as delicious snacks and coffee to keep you energized  - Discretionary benefit stipend giving people the ability to spend where it matters most - Free alphorn lessons These benefits are further detailed in Sierra's policies, may vary by region, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies. BE YOU, WITH US We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.

Location: London Workplace: OnSite ABOUT US Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia. We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do. Our co-founders are Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace. WHAT YOU'LL DO As an Agent Strategist https://sierra.ai/blog/agent-strategist-your-phd-in-applied-ai, you own how Sierra's AI agents come to life for our customers — from first pilot to a production agent handling thousands of conversations a day. You sit at the intersection of product, building agents and customer-facing work, and stay just as close to the technology as you are to the people you build for. You transform a customer's thorniest, highest-stakes problems into agents that measurably move their business. - Own the Agent Development Life Cycle https://sierra.ai/blog/agent-development-life-cycle. Take agents from initial scope through conversation design, tooling, and evaluation, to launch and continuous iteration in production — translating business goals into an agent that outperforms, and tuning relentlessly until it's the best version of itself in the real world. You'll have real ownership and autonomy over the outcome. - Be the trusted strategic advisor to enterprise leaders. Sit shoulder-to-shoulder with our customers' executives, understand what success actually means to their business, and shape the AI strategy that gets them there. - Partner with the customer's working teams day to day. Run working sessions, troubleshoot the agent as issues come up, and make the calls that keep the build on track for launch. - Directly impact product. Surface unmet needs from your customer work, and feed them back to research and platform to shape where Sierra goes next. EXAMPLE PROJECTS These are the kinds of projects that strategists on our team have worked on recently: - Scope and launch a subscription-retention agent for a large telecommunications or media company that consistently outperforms human agents at saving at-risk customers. - Stand up an agent for a commerce customer that troubleshoots a broken device end-to-end and personalizes product recommendations in the same conversation. - Redesign the conversation flows for a financial services agent so it can handle complex, regulated interactions — and convert a pilot into a multi-team production deployment. See our financial services blog https://sierra.ai/blog/five-ways-to-use-ai-agents-financial-services for examples. - Partner with product on a net-new capability — a new agent architecture or self-service tooling — using a live customer as the design partner. - Define the evaluation and quality bar for a new agent, then use those metrics to drive a measurable lift in outcome https://sierra.ai/blog/outcome-based-pricing-for-ai-agents week over week. WHAT YOU'LL BRING - Customer obsession. Genuine energy being in front of customers — understanding their business and needs, thriving in complex organizations, and building trusted relationships. - Communication. Clear, direct, and persuasive across technical and non-technical audiences. - Strategic problem-solving in ambiguity. Strong analytical and critical-thinking skills to break down complex problems, spot risks early, and adapt as things change fast. - Technical aptitude. Comfortable engaging directly with technical concepts - reading API documentation, understanding data models and system architecture, and following engineering tradeoffs in a design discussion. - Ownership and delivery. A track record of running multiple complex, high-visibility projects at once and driving them to outcomes. EVEN BETTER... - Experience building or deploying AI/LLM agents in production — hands-on with the tools behind them (eval frameworks, agent tooling, RAG, prompt engineering) — working closely with technical counterparts. - You've been a founder, founding team member, or operator — you know how to balance craft, ownership, and speed. - A degree in Computer Science, Engineering, Mathematics, a related technical field, or equivalent practical experience — and/or an MBA or comparable experience at the intersection of technology and business. OUR VALUES - Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work. - Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it. - Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve. - Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time. - Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements. WHAT WE OFFER We want our benefits to reflect our values and offer the following to full-time employees: - Flexible (unlimited) paid time off - Medical, dental, and vision benefits for you and your family - Life insurance and disability benefits - Retirement plan dependent on country of employment - Parental leave - Fertility and family building benefits through Carrot - Lunch, as well as delicious snacks and coffee to keep you energized  - Discretionary benefit stipend giving people the ability to spend where it matters most - Free alphorn lessons These benefits are further detailed in Sierra's policies, may vary by region, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies. BE YOU, WITH US We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.

Location: London Workplace: OnSite ABOUT US Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia. We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do. Our co-founders are Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace. WHAT YOU'LL DO As an Agent Strategist https://sierra.ai/blog/agent-strategist-your-phd-in-applied-ai, you own how Sierra's AI agents come to life for our customers — from first pilot to a production agent handling thousands of conversations a day. You sit at the intersection of product, building agents and customer-facing work, and stay just as close to the technology as you are to the people you build for. You transform a customer's thorniest, highest-stakes problems into agents that measurably move their business. - Own the Agent Development Life Cycle https://sierra.ai/blog/agent-development-life-cycle. Take agents from initial scope through conversation design, tooling, and evaluation, to launch and continuous iteration in production — translating business goals into an agent that outperforms, and tuning relentlessly until it's the best version of itself in the real world. You'll have real ownership and autonomy over the outcome. - Be the trusted strategic advisor to enterprise leaders. Sit shoulder-to-shoulder with our customers' executives, understand what success actually means to their business, and shape the AI strategy that gets them there. - Partner with the customer's working teams day to day. Run working sessions, troubleshoot the agent as issues come up, and make the calls that keep the build on track for launch. - Directly impact product. Surface unmet needs from your customer work, and feed them back to research and platform to shape where Sierra goes next. EXAMPLE PROJECTS These are the kinds of projects that strategists on our team have worked on recently: - Scope and launch a subscription-retention agent for a large telecommunications or media company that consistently outperforms human agents at saving at-risk customers. - Stand up an agent for a commerce customer that troubleshoots a broken device end-to-end and personalizes product recommendations in the same conversation. - Redesign the conversation flows for a financial services agent so it can handle complex, regulated interactions — and convert a pilot into a multi-team production deployment. See our financial services blog https://sierra.ai/blog/five-ways-to-use-ai-agents-financial-services for examples. - Partner with product on a net-new capability — a new agent architecture or self-service tooling — using a live customer as the design partner. - Define the evaluation and quality bar for a new agent, then use those metrics to drive a measurable lift in outcome https://sierra.ai/blog/outcome-based-pricing-for-ai-agents week over week. WHAT YOU'LL BRING - Customer obsession. Genuine energy being in front of customers — understanding their business and needs, thriving in complex organizations, and building trusted relationships. - Communication. Clear, direct, and persuasive across technical and non-technical audiences. - Strategic problem-solving in ambiguity. Strong analytical and critical-thinking skills to break down complex problems, spot risks early, and adapt as things change fast. - Technical aptitude. Comfortable engaging directly with technical concepts - reading API documentation, understanding data models and system architecture, and following engineering tradeoffs in a design discussion. - Ownership and delivery. A track record of running multiple complex, high-visibility projects at once and driving them to outcomes. EVEN BETTER... - Experience building or deploying AI/LLM agents in production — hands-on with the tools behind them (eval frameworks, agent tooling, RAG, prompt engineering) — working closely with technical counterparts. - You've been a founder, founding team member, or operator — you know how to balance craft, ownership, and speed. - A degree in Computer Science, Engineering, Mathematics, a related technical field, or equivalent practical experience — and/or an MBA or comparable experience at the intersection of technology and business. OUR VALUES - Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work. - Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it. - Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve. - Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time. - Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements. WHAT WE OFFER We want our benefits to reflect our values and offer the following to full-time employees: - Flexible (unlimited) paid time off - Medical, dental, and vision benefits for you and your family - Life insurance and disability benefits - Retirement plan dependent on country of employment - Parental leave - Fertility and family building benefits through Carrot - Lunch, as well as delicious snacks and coffee to keep you energized  - Discretionary benefit stipend giving people the ability to spend where it matters most - Free alphorn lessons These benefits are further detailed in Sierra's policies, may vary by region, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies. BE YOU, WITH US We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.

Location: Foster City, CA Workplace: Hybrid Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation. About the Role Join Replit's key teams across the company, such as AI Research, Strategic Finance, or the Office of the CEO, for a unique paid internship built for sharp quantitative and creative minds. You will work alongside our top executives, in addition to world-class engineers, designers, and finance team on some of the hardest problems in AI-native software creation and accelerating key areas of our business. We are creating a dedicated track for students with strong mathematical backgrounds because the problems we are solving sit at the intersection of deep math and applied AI, including agent reasoning, systems optimization, and improving how our models learn and perform at scale. Your work will directly shape how millions of users build software. You Will: - Contribute to real engineering problems that push the boundaries of AI-powered software creation - Collaborate with engineers, designers, and product managers on infrastructure that powers Replit's platform - Prototype novel approaches to problems in AI, systems, or tooling where mathematical rigor is the differentiator - Ship work that impacts millions of developers globally, in an environment where your ideas are heard and often implemented Required Skills and Experience: - Currently pursuing a Bachelor's, Master's, or PhD in Mathematics, Computer Science, Computer Engineering, Statistics, Physics, or a related quantitative field - At least one semester of schooling remaining after the internship - Demonstrated excellence in competitive mathematics such as IMO and IOI, quantitative research, or advanced coursework - Genuine curiosity about AI, agent systems, company building, or developer tooling - Extremely bullish on Replit and the future of AI-native software creation. We would love to see what you have built on the platform What We Value: - First-principles thinking: Ability to break down complex problems from the ground up and reason about them rigorously - Mathematical intuition: Strong grasp of the underlying math behind machine learning, optimization, or systems - Self-directed and autonomous: Capable of working independently while collaborating well with cross-functional teams - Strong communication: Ability to explain complex quantitative concepts to both technical and non-technical audiences - Curiosity and speed: Genuine excitement for hard problems and the drive to iterate quickly Full-Time Employee Benefits Include: 💰 Competitive Salary & Equity 💹 401(k) Program with a 4% match (US Only) ⚕️ Health, Dental, Vision and Life Insurance 🩼 Short Term and Long Term Disability 🚼 Paid Parental, Medical, Caregiver Leave 🏝 Flexible Time Off (FTO) + Holidays 🚗 Commuter Benefits (In-Office & US Only) 📱 Monthly Wellness Stipend 🧑‍💻 Autonomous Work Environment 🖥 In Office Set-Up Reimbursement (In-Office Only) 🚀 Quarterly Team Gatherings ☕ In Office Amenities (In-Office Only) Want to learn more about what we are up to? - Self-driving Company https://replit.com/blog/self-driving-company - Replit Agent at Scale https://replit.com/blog/evaluating-and-improving-agent-at-scale - AI Adoption https://replit.com/blog/ai-adoption - Build Open-Source Apps https://replit.com/build/open-source-app-builder   Interviewing + Culture at Replit - Operating Principles https://blog.replit.com/operating-principles - Reasons not to work at Replit https://blog.replit.com/reasons-not-to-join-replit To achieve our mission of making programming more accessible around the world, we need our team to be representative of the world. We welcome your unique perspective and experiences in shaping this product. We encourage people from all kinds of backgrounds to apply, including and especially candidates from underrepresented and non-traditional backgrounds.

Location: New York City, New York What you’ll be part of Garner is on a mission to transform the U.S. healthcare system — and we’re the only proven player doing exactly that. We partner with employers to redesign how healthcare works: applying 550+ proprietary clinical metrics across 80+ specialties to a dataset of 320M+ patients to identify the best-performing doctors, then using compelling incentives to steer members to the care that helps them get healthier, faster. The result is a rare “win win” — better care and lower costs for both members and employers. In just five years, our work has helped over 2.5 million people access higher-quality care and saved $1B in healthcare costs. We recently raised our Series E and have doubled five years running. If you've ever wanted your work to solve a problem that touches every person in this country, this is the opportunity to do exactly that. You'd be joining a team fundamentally reimagining healthcare in the U.S. — and using AI to scale that impact further and faster than anyone else can. Who we want We are seeking exceptional Software Engineering Interns for our 10-week summer program in New York City. As a core member of our engineering team, you'll build and launch features that directly impact real people — helping our members find top doctors and manage medical claims with ease. You'll work alongside a passionate, multidisciplinary team of engineers, designers, and product managers, taking ownership of meaningful problems in a fast-paced, agile environment. This is hands-on experience building the systems that power our mission: transforming the healthcare economy to deliver high-quality, affordable care for all. Select interns will be offered full-time roles upon successful completion of the program. What you will do Use AI to build, optimize, and maintain software systems Collaborate across disciplines to understand our domain and iterate on projects Participate in code reviews, sharing your insights and learning from others Engage in problem solving sessions with senior engineers and team leads where your unique perspective will be valued Deliver a capstone project presentation to engineering leaders and business stakeholders, demonstrating your work and impact What we're looking for Currently pursuing a Bachelor's or Master's in Computer Science or related STEM field (expected graduation Fall 2027–Spring 2028) Solid CS fundamentals with exposure to front-end (JavaScript, React) or back-end (Python, Node.js) technologies; familiarity with databases or cloud platforms (AWS, Docker) is a plus Exposure to or interest in building with AI coding agents (we use Claude Code) is a plus Strong problem-solver who enjoys breaking down challenges and finding elegant solutions Self-starter who takes ownership of their work and is motivated by real-world impact Clear communicator who can discuss technical ideas with both technical and non-technical audiences, and takes feedback well Excited by fast-paced environments and eager to stretch their skills A desire to do work that matters: and to be held to a high standard while doing it. You're energized by a mission with measurable outcomes, not just good intentions. You engage with AI tools as part of how you do your best work, and hold yourself accountable to outcomes that matter beyond your team’s metrics What you’ll get here You’ll work on problems that matter, at a company working to change healthcare at scale. You’ll work at the intersection of AI and systemic healthcare reform, where the problems we solve are as interesting and compelling as the mission. At Garner, you’ll take on real, ambitious problems with real ownership and autonomy, alongside exceptional, principles-based people who genuinely want you to win. It’s demanding by design. You’ll be challenged to stretch beyond what you thought possible and receive consistent coaching to help you grow and do the best work of your career. This isn't the right fit for everyone, and that's intentional. The people here are driven by what's at stake for real people, and that's what gives our intensity its purpose. Technologies we use Claude Code, Kubernetes, AWS, Airflow, dlt, dbt, Python, TypeScript, React, Go Please note: we are unable to sponsor or take over sponsorship of an employment visa at this time. Compensation The weekly pay rate for this role is $2,400. In addition to base compensation, this role is eligible for a housing stipend. Few roles offer this combination: work that is genuinely hard, a mission that is genuinely important, and a team that is genuinely invested in your success. If that’s what you’re looking for, we’d love to meet you. Fraud and Security Notice: Please be aware of recent job scam attempts. Our recruiters use getgarner.com and garnerhealth.com email domains exclusively. If you have been contacted by someone claiming to be a Garner recruiter or a hiring manager from a different domain about a potential job, please report it to law enforcement here and to candidateprotection@garnerhealth.com . Equal Employment Opportunity: Garner Health is proud to be an Equal Employment Opportunity employer and values diversity in the workplace. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. Garner Health is committed to providing accommodations for qualified individuals with disabilities in our recruiting process. If you need assistance or an accommodation due to a disability, you may contact us at talent@garnerhealth.com .

Location: San Francisco, CA | New York City, NY 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 builds and operates the compute that trains and serves our frontier models. Behind every cluster is a physical supply chain: servers, accelerators, networking equipment, spares, and tooling that have to be received, inspected, secured, tracked, and delivered to the right site at the right time. The Warehousing and Logistics team owns that flow, and this role builds the key capabilities and partnerships to scale these services with velocity. As Warehouse and Logistics Capability Manager, you'll report to our Global Warehousing and Logistics Lead and own the design, and roll-out of key capabilities (selection of in-house or off-the-shelf tooling, process, and data integrity), implementation  and integration with strategic partnerships to achieve global scale. This is a strategic role on a small team, so you'll move between building the tooling, processes, controls, and metrics that let us scale as our hardware footprint grows. You should be comfortable making decisions with incomplete information, communicating clearly with engineers and vendors alike, and holding a high bar for supply chain and logistics capabilities. Key responsibilities Define the key requirements for new capabilities in collaboration with partner teams Own the program management, selection and implementation of tools pertaining to warehouse, inventory, transport management etc., and their integration with internal and external tools Enable expansion to new geographies with the right tools, processes, SOPs and data in conjunction with the operational warehouse managers Conduct RFP where needed and drive tool selection and/or build in line with business requirements Ensure third party vendor tools are fully integrated with Anthropic’s architecture and meet compliance, and regulatory requirements Conduct full testing and effective adoption of new processes and tools, effectively managing risks and timely implementation Develop/enhance reports on operational metrics such as receiving cycle time, inventory accuracy, on-time delivery, and freight cost, and use them to drive continuous improvement Minimum qualifications Experience managing warehouse or logistics operations for physical goods, including receiving, inventory control, and outbound shipping Hands-on experience using and designing warehouse management and inventory management system, and comfort working in spreadsheets to analyze inventory and shipment data Experience managing third-party logistics providers or carriers, including negotiating service levels and holding vendors accountable to them Working knowledge of domestic freight (LTL, FTL, and parcel) and the documentation that goes with it Familiarity with safety and regulatory requirements for shipping and storing IT or electronic equipment, such as hazardous materials rules for lithium batteries Strong written and verbal communication skills, with the ability to coordinate across technical and non-technical teams and external partners Demonstrated ability to build processes from scratch and keep operations running reliably as volume and complexity increase Ability to travel to warehouse and data center sites in the US as needed Preferred qualifications Experience handling data center or enterprise IT hardware, including servers, GPUs or other accelerators, and networking equipment Experience with international freight forwarding, customs brokerage, and export control requirements such as EAR Experience with secure chain-of-custody programs, asset tagging, and data-bearing device sanitization or destruction Experience directly managing warehouse staff or contract labor Familiarity with ERP or procurement systems and how inventory data flows between them and warehouse systems Experience with Agile development and frontier AI tools Experience supporting rapid infrastructure buildouts, whether in cloud, telecom, or another hardware-intensive industry 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: $405,000 — $485,000 USD 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. 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: Paris; Amsterdam; Linz; Munich; London; Berlin ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. THE ROLE Mistral is looking for AI Scientists with deep expertise in engineering sciences and machine learning to push the frontier of AI-accelerated simulation. Within AI4Engineering Science, you will research and train foundational physics models which are substantially more capable than what exists today and can be fine-tuned for downstream applications by both customers and internal teams. You will work across the full research stack: curating high-fidelity simulation datasets, designing and training novel model architectures, and rigorously evaluating them against real engineering validation standards. Working closely with the broader research organization, you'll ensure the foundation models you build are general enough to become the backbone of many downstream products, not just a single point solution. This role builds on a strong, world-class foundation, and the goal is to take it further. You'll work one vertical at a time toward foundation models that genuinely transfer and fine-tune across engineering tasks, with high-quality simulation data pipelines, physics-based evaluation, and uncertainty / out-of-distribution estimation as first-class concerns. There's no inherited playbook for most of what's left to do: you'll help define the architectures, training strategies, and validation standards the team builds on, not just extend an existing one. WHAT YOU WILL DO - Research and train novel foundation models for physics simulation, pushing past today's state of the art in accuracy, generalization, and scale - Design and run large-scale simulation campaigns using domain-specific solvers to build the high-fidelity datasets foundational physics models need - Investigate architectures and training strategies (e.g. multi-fidelity training, pretraining objectives, scaling behavior) that let a single foundation model transfer and fine-tune well across diverse engineering tasks - Rigorously evaluate model coverage, accuracy, and robustness against industry validation standards, and diagnose failure modes arising from data gaps or architecture limitations - Stay on top of the latest developments in the scientific community and contribute to Mistral's standing at the frontier of AI-for-engineering research WHAT WE'RE LOOKING FOR - PhD or Master's in CS/AI or an engineering science: Mechanical Engineering, Electrical Engineering, Computational Fluid Dynamics, Structural Mechanics, EDA, Semiconductor Engineering, or a related field - Strong, hands-on machine learning expertise with a deep understanding of model architectures, training dynamics, and evaluation methodology is core to this role - You have developed ML methods for simulation or surrogate modelling - You write clean, readable Python code and are comfortable in Linux/HPC environments - Fluent English with excellent communication skills, able to explain technical simulation and ML concepts to both engineering and non-technical audiences - Self-directed, you don't need detailed roadmaps to make progress - Low-ego, collaborative, and eager to learn at the intersection of simulation and ML - Demonstrated success through industrial projects, academic work, or personal projects IT WOULD BE GREAT IF YOU - Have industrial or academic experience with simulation solvers (e.g. OpenFOAM, LS-DYNA, ANSYS, COMSOL, Abaqus, Fluent, STAR-CCM+, PowerFlow, NekRS, Tau/CODA, JAX-Fluids, or equivalent; Cadence/Synopsys/Siemens EDA or equivalent) - Have experience automating large-scale simulation campaigns on HPC clusters - Have contributed to a large open-source or industry codebase - Have publications in engineering or ML venues (AIAA, ASME, JFM, NeurIPS, ICLR, etc.) WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: Paris; Palo Alto; Amsterdam; Linz; Munich; London; Berlin Workplace: Hybrid ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. THE TEAM You will join the AI4Engineering Science team, the Mistral research group that builds the data and evaluation infrastructure and owns the SFT/RL processes for AI4Engineering that teach our frontier LLMs to do real engineering work. The agentic engineering group works alongside the Physics AI research in the wider Science organisation. This seat sits in the agentic CAD stream. Together with the Solutions and Applied teams, the group carries this work into customer projects with industrial partners in automotive, aerospace, semiconductors, and beyond. THE ROLE Mistral is looking for an AI Scientist with deep machine learning expertise and hands-on CAD experience to expand what our agentic tools can do for computer-aided design. Your focus is a single mission: teaching Mistral's LLMs to generate, analyze, and modify CAD designs the way an expert design engineer would. Your core work is building the pre- and post-training data for Mistral's LLMs to reason about and execute real CAD tasks: text-to-CAD and image-to-CAD generation from technical drawings, geometric analysis and QA of CAD parts, and modification of existing designs. Because Mistral trains its own frontier LLMs, the data and verifiers you design ship directly into models you can hold - a rare position, and the core of the job. Alongside this, you will help shape the agent architectures and harnesses that let these models operate reliably inside multi-step CAD workflows, driving CAD tools through APIs or computer use across the whole design loop. This is early-stage work, and that's the point: you are joining at the foundation, shaping the data, verifiers, and agent scaffolding that decide whether these systems become reliable or stay demo-grade. There is no inherited playbook; you will help define what good looks like, and your work will set the direction the CAD stream builds on rather than extend an existing one. WHAT YOU WILL DO - Design pretraining, SFT, and RL data for CAD tasks: text-to-CAD and image-to-CAD generation from technical drawings, geometric analysis and QA of CAD parts, and design modification - Define verifiers and evaluation criteria that capture what "correct" and "high-quality" actually mean for CAD tasks - Scale the data pipelines that produce agentic CAD training traces - Design and improve agent architectures and harnesses: how models plan, call CAD tools via API or computer use, recover from errors, and chain steps together across long-horizon design workflows - Build and maintain CAD evaluation benchmarks and diagnostic tooling, from parametric CAD and drawing-to-3D benchmarks to industrial evaluations, identifying where models fail and tracing those failures back to gaps in data, reward design, or agent scaffolding - Collaborate with CAD domain experts and the CAE and EDA streams (and the science and solutions teams more broadly) to identify which CAD workflows are highest-value to target next - Contribute to Mistral's broader pre- and post-training research, sharing findings and methodology across the science organization WHAT WE'RE LOOKING FOR - Deep, hands-on machine learning expertise, particularly LLM development: you have built LLM training pipelines (SFT, RL, fine-tuning, GRPO), demonstrated in publications or shipped systems rather than CV claims - Demonstrated hands-on CAD experience: you have designed, scripted, or automated real CAD workflows in tools such as SolidWorks, CATIA, Siemens NX, FreeCAD, or CADQuery, ideally with CAD-kernel grounding (OpenCASCADE, build123d) - Fluent English with excellent communication skills: you can explain technical ML and CAD concepts to both engineering and non-technical audiences - You write clean, readable Python code and are comfortable in Linux/HPC environments - Self-directed: you do not need detailed roadmaps to make progress - Low-ego, collaborative, and eager to learn at the intersection of CAD and ML It would be great if you: - Have experience building or fine-tuning agentic systems (tool use, multi-step planning, agent orchestration frameworks) - Have experience with reward modeling, RLHF/RLAIF/RLVR, or preference-based training - Have first-author publications or open-source benchmark work in agentic CAD or CAD-ML, such as CAD generation benchmarks or RL/GRPO fine-tuning of vision-language models for CAD - Have contributed to a large open-source or industry codebase - Have publications in engineering and ML venues (NeurIPS, ICLR, ICCV, SIGGRAPH, JFM, AIAA, etc.) WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.