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Workplace: none About Utorg Founded in 2019, Utorg builds the infrastructure for stablecoin payments: on- and off-ramps, self-custodial wallets, and crypto cards. Over 2 million users across 130+ countries already buy, hold, and spend crypto through our app. On the B2B side, the same rails power 2,100+ platforms, with $2.4B+ moved to date. Fully MiCA-authorized across the EEA. PCI DSS Level 2 certified, backed by Dragonfly, TA Ventures, and Hypra. Location: Remote Tech stack Frontend: React 18/19, TypeScript, Vite, TanStack Query / Router / Table, Zustand, MUI, Tailwind + shadcn/ui, Next.js, i18next, Sentry Testing: Playwright, Vitest, Testing Library, MSW Backend: Java 17 + Spring Boot 3, Kotlin + Spring Boot 4 (new services), Node.js/TypeScript services, PostgreSQL, Redis, NATS, Temporal Infrastructure: Docker, Kubernetes (GKE), FluxCD, GitHub Actions, Cloudflare Web3: viem, ethers AI: Claude Code, MCP, custom skills and plugins, AI code review in CI The role We are looking for a senior engineer who builds product features end-to-end — mostly on the frontend, with the confidence to change the backend when the feature needs it — and who already works agent-first. Our team plans, writes, tests, and reviews code with AI agents. You will own the frontend of our payment products and help turn good AI habits into shared team workflows. The split is roughly 70% frontend / 30% backend. What you will work on Crypto on/off-ramp widget — an embeddable buy/sell flow with KYC, card payments with 3-D Secure, alternative payment methods, and a customer account area—one codebase, built for multiple white-label brands. Merchant checkout — hosted payment pages, from a simple one-step checkout to a full multi-step flow with KYC and compliance screens. Back-office admin apps — internal tools that operations, compliance, and support use every day. A legacy admin is being replaced by a new one built on a modern stack. Backend changes — API endpoints and business logic in our Java/Spring Boot services, so a feature doesn't stop at the API boundary. Responsibilities Own features from ticket to production: UI, API contract, backend change, tests, release, and monitoring. Make frontend architecture decisions and drive ongoing migrations (legacy admin → new admin, older UI libraries → modern stack, stricter type checks). Build and improve AI-driven development workflows: project context files, shared skills and commands, automated PR review in CI, agent-driven end-to-end and visual checks. Review code — both teammates' and agents' — and keep the quality bar high. Work with product, design (Figma), QA, and backend engineers in a weekly release cycle. Must have 5+ years of commercial frontend development, 3+ years with React + TypeScript in production. Solid modern React: server-state management (TanStack Query or similar), client state (Zustand/Redux), forms, routing, performance. Comfortable with large legacy codebases, not just greenfield projects. Production backend experience in at least one language. Java or Kotlin with Spring is a plus; Node.js/TypeScript, Go, or others are fine. You can design a REST API, work with PostgreSQL (schema, indexes, migrations), and ship changes in our Java services. Agentic development is your daily way of working — with Claude Code, Codex, or a similar agent, not just autocomplete. Specifically: you keep project context files ( CLAUDE.md / AGENTS.md ) and write your own skills, commands, or subagents; you connect agents to real tools through MCP (issue tracker, GitHub, Figma, databases, browser); you work in a plan → implement → verify loop, where the agent proves its work with tests, type checks, and browser automation; you run agents in parallel and headless (for example, an AI review bot in CI); you review agent output critically and know the failure modes: invented APIs, silent scope creep, "fixing" a test instead of the code, leaked secrets, prompt injection; you keep up with how agentic tools change (new features, models, practices) and bring what works into your workflow . Testing: Playwright for end-to-end, Vitest/Jest for unit and integration tests. Security-minded: real money, personal data, auth tokens, iframes, and cross-origin messaging. Fluent Russian (the team's working language). English good enough to read and write technical texts: tasks, pull requests, and docs are in English. Nice to have Payments/fintech: card flows and 3-D Secure, alternative payment methods, KYC SDKs (e.g., SumSub), fraud prevention, open banking. Web3 on the frontend: viem / ethers, wallet connection, EIP-712 signing. Multi-brand (white-label) products, theming and design tokens. OpenAPI-generated clients (Orval), TanStack Router / Table. Kotlin, Spring Boot, NATS, Temporal. Docker, Kubernetes, GitHub Actions, GitOps (FluxCD), Cloudflare Workers. How we work with AI Every main repository has AI context files and repo-specific skills. An internal plugin marketplace ships team-wide skills (code review, release flow, back-office operations). AI code review runs on pull requests in CI. It advises, and humans decide. Custom MCP servers provide agents with secure access to internal systems. The company pays for AI tooling. What we offer Fully remote work in an international team. A team where AI-first engineering is the norm, not an experiment. Real influence on architecture and on how the team works. A product at real scale: millions of users and thousands of partner platforms. Competitive salary based on individual performance review. Transparent feedback culture that values ownership and visible impact. Recruitment process Apply with your CV. Application review. HR interview with a short technical screen. Technical interview. Final interview with the CTO. Offer.

Location: London; Remote (UK) 🚀 We’re on a mission to make money work for everyone. We’re waving goodbye to the complicated and confusing ways of traditional banking. After starting as a prepaid card, our product offering has grown a lot in the last 10 years in the UK. As well as personal and business bank accounts, we offer joint accounts , accounts for 16-17 year olds , a free kids account and credit cards in the UK, with more exciting things to come beyond. Our UK customers can also save , invest and combine their pensions with us. With our hot coral cards and get-paid-early feature, combined with financial education on social media and our award winning customer service, we have a long history of creating magical moments for our customers! We’re not about selling products - we want to solve problems and change lives through Monzo ❤️ 📍London/Cardiff/UK Remote | 💰£85,000 - £115,000 + Incentive Awards tied to your performance + Benefits ✨ This role sits at the heart of our Control Discipline change agenda, building the controls product platform that powers safe growth at Monzo. At Monzo, we don’t treat risk and controls as a bureaucratic governance process. We treat our control framework, tools, and data pipelines as an internal product - designed to give engineers, product managers, and business leads the ability to ship fast - and safely. We are looking for a Senior Controls Product Manager to join our newly established Controls Product & Enablement team within our Controls Discipline. Sitting at the intersection of Product, Risk, Data, and Engineering, you will act as the Product Lead for Monzo’s core risk lifecycles (Issues, RCSAs, Controls, Policy, Reg Traceability). You won't just write requirement docs for someone else to build - you are a builder yourself. You’ll prototype low-code tools, leverage AI models, interrogate data pipelines, and architect automated workflows to turn manual risk friction into seamless, automated self-service. ⭐ Our Controls team The role will sit within the Controls Product & Enablement team which is part of the wider Controls Discipline  in Monzo’s 1st line of defence  Our teams work closely with cross-functional teams across the organisation including Technology, Data, Product, Operations as well and Risk & Compliance (the 2nd line of defence). As this is a newly established team (wherein you’ll have two direct reports already working in the team as data and automation specialists), this role holder needs to bring a flexible and adaptable mindset, as well as a willingness to deal with ambiguity as the team establishes its operating rhythm and embeds itself within the wider business. 🔑 What you’ll do (Your Product Ownership Scope)… Own the Controls Product Roadmap: Define the vision, strategy, and backlog for Monzo’s internal risk products, replacing static, manual cycles with smart, data-driven platforms (SmartSuite, Zango, Looker, and native AI integrations). Hands-on Prototyping & Automation: Directly design, prototype, and build automated workflows, API integrations, and low-code/no-code solutions. You'll take an idea from a problem statement to a working MVP before partnering with core Engineering (if necessary) to scale or industrialise it. Pioneer AI in Risk Management: Champion AI adoption across the discipline. Experiment with LLM prompting, custom agents, and automated evidence-gathering tools to solve complex control problems and dramatically reduce manual drag for Monzo staff. Build for Real-Time Risk Intelligence: Drive the shift from annual "point-in-time" assessments to continuous, automated monitoring. Design data triggers (e.g., incident spikes, change flags) that alert risk owners in real time. Product Enablement & Adoption: Ensure high-impact adoption. Work closely with first line risk owners and Risk Partners to deliver clear "write once" guidance, intuitive UI/UX workflows, and enablement that allows teams to self-serve effortlessly. Drive Execution & Delivery: Maintain momentum across the team’s delivery plan (guiding 2 specialised data/automation direct reports), keeping senior stakeholders engaged and removing blockers without bureaucratic overhead. 🤩 We’d love to hear from you if… You think like a Product Manager: You obsess over user problems, value vs. effort prioritization, user experience, and shipping MVPs quickly. You are a Hands-On Builder: You can get under the hood with data and automation. You're comfortable with SQL, Python (or similar), APIs, workflow tools, or low-code environments to build a working prototype yourself. You’re AI-Curious & Practical: You actively experiment with AI/LLMs to automate manual tasks and make workflows smarter. You Understand Risk & Controls: You understand fundamental risk concepts (control design, RCSAs, issue management) and see the massive opportunity to transform them through tech. You Thrive in Ambiguity: You enjoy starting from first principles in a fast-paced environment and turning messy operational problems into slick, scalable digital solutions. You have experience in leading teams through change programmes, ideally within Financial Services Controls functions. You are hands-on and take satisfaction in supporting colleagues, projects or tasks however big or small - and can take a range of stakeholders on the journey with you You’re excited by what we’re doing at Monzo ℹ️ This role isn’t for you if… Your technology and data experience has primarily involved defining requirements for Data or Engineering teams to build, rather than building solutions yourself. You aren't comfortable getting hands-on with data, automation tooling and technical problem solving. You aren’t comfortable with ambiguity, or thinking from first principles You don’t enjoy working in a fast-paced environment You aren’t happy taking an MVP approach and doing what’s good enough for now with iterative changes to follow Equally, if your experience is primarily technical and you don't have sufficient understanding of risk and controls to translate control problems into effective solutions, this role is unlikely to be the right fit. 🙌 What’s in it for you 💰 £85,000 - £115,000 ➕Incentive Awards tied to your performance. 📍This role can be based in our London office, but we're open to distributed working within the UK (with ad hoc meetings in London) ⏰ We offer flexible working hours and trust you to work enough hours to do your job well, and at times that suit you and your team. 📚 £1,000 learning budget each year to use on books, training courses and conferences. 🏡 We will set you up to work from home; all employees are given Macbooks and for fully remote workers we will provide extra support for your work-from-home setup. ➕ Plus lots more! Read our full list of benefits . 🌈 The application journey has 3 key steps Short call with a Monzo Recruiter Video-call with Hiring Manager (30 mins) Full-Loop: 3 x video-call interviews (covering Technical, Behaviours, and Leadership) This process should take around 4-5 weeks - your schedule is really important to us, so we promise to be as flexible as possible! We have some guidelines on using Artificial Intelligence (AI) to ace an application and interview at Monzo. You can read them here. ⏳ We’ll only close this role once we have enough applications for the next stage. Please submit your application as soon as possible to make sure you don’t miss out. #LI-REMOTE #CM-1 Equal opportunities for everyone Diversity and inclusion are a priority for us and we’re making sure we have lots of support for all of our people to grow at Monzo. At Monzo, we’re embracing diversity by fostering an inclusive environment for all people to do the best work of their lives with us. This is integral to our mission of making money work for everyone. You can read more in our blog , 2026 Diversity and Inclusion Report and 2025 Gender Pay Gap Report. We’re an equal opportunity employer. All applicants will be considered for employment without attention to age, ethnicity, religion, sex, sexual orientation, gender identity, family or parental status, national origin, or veteran, neurodiversity or disability status. If you have a preferred name, please use it to apply. We don't need full or birth names at application stage 😊

Location: Kuala Lumpur, Malaysia About Us Established in 2018, Bybit is one of the world’s leading cryptocurrency exchanges and digital financial platforms, serving over 80 million users across more than 200 countries and regions. Powered by world-class technology and a user-first mindset, Bybit delivers a seamless ecosystem across trading, payments, wealth management, custody, institutional services, and Web3 — connecting users to the future of digital finance. Our core values define how we build. We listen, care and improve to create products and experiences that put users first. Backed by a global team of ambitious builders, problem-solvers, and innovators, we foster a high-performance and fast-moving environment where talent is empowered to drive real impact at the global scale. Supported by 24/7 multilingual customer service and a strong commitment to innovation, we are shaping the future of finance through technology, collaboration, and bold execution. Today, Bybit is recognized as one of the most trusted and transparent platforms in the digital asset industry, continuing to expand its global presence while building the infrastructure for the next generation of financial services. About the Role We are using AI to fundamentally reshape our core business infrastructure. As an AI Application Backend Engineer , you will be a core builder of AI engineering capabilities — deeply integrating large language models with financial business scenarios to construct the backend AI service layer powering trading intelligence, smart risk control, compliance monitoring, and user services. Responsibilities AI Service Layer Architecture & Development : Design and develop core AI backend services, including model gateway (Model Gateway), Agent scheduling layer, and streaming inference services. Build high-concurrency, low-latency, horizontally scalable microservice architectures that meet production SLA requirements for AI-powered services. Agent & Tool-Calling System Development : Develop Agent workflows and tool-calling (Tool Use / Function Calling) systems on the Openclaw platform. Define tool registration and integration standards for internal systems (trading engine, risk systems, data platforms), ensuring call-level security and result integrity for financial scenarios. Financial Scenario AI Service Delivery : Own the development and iteration of AI backend services for core scenarios including intelligent customer service, risk signal detection, compliance analysis, and personalized services. Collaborate with algorithm teams to deliver end-to-end model integration, effectiveness validation, and performance tuning. Data & Storage Layer : Design and maintain data infrastructure required by AI applications, including session memory and long-term memory storage, knowledge base management and incremental update mechanisms — ensuring data consistency and retrieval quality. Observability & Evaluation : Establish full-chain LLM application tracing, prompt version management, and evaluation frameworks. Design automated LLM-as-Judge pipelines to continuously monitor output quality, hallucination rates, and business KPIs. Requirements Programming Fundamentals : Proficiency in Golang or Java ; solid understanding of data structures, algorithms, and system design; familiarity with RESTful API and gRPC interface design. Backend Engineering Experience : 5+ years of backend development experience with production-level expertise in microservice frameworks (Spring Boot / go-zero), message queues (Kafka / RabbitMQ), caching (Redis), and relational databases (PostgreSQL / MySQL). LLM/Agent Engineering in Production : 1+ year of hands-on production experience building LLM applications or AI Agents, with demonstrated AI skills (Agent development, LLM toolchain integration); able to independently deliver AI feature modules end-to-end. Prompt Engineering & Model Understanding : Deep understanding of LLM capabilities and limitations (hallucination, context length, reasoning); hands-on experience with Prompt Engineering, Few-shot and Chain-of-Thought design, with the ability to independently craft and iterate prompt strategies for complex business scenarios. Why Join Us At Bybit, we are committed to fostering a supportive and enriching work environment. Our benefits include: - Study Growth Fund: We support your professional development and continuous learning. - Internal Events: Participate in regular team-building activities, workshops, and events designed to promote collaboration and innovation. - Global Collaboration: Be part of a diverse, international team, working alongside colleagues from around the world. - Career Advancement: Access opportunities for growth and advancement within a rapidly expanding global company. - Internal Mobility: Grow with us- Your long-term development is important to us. We offer internal job opportunities to help build your career path.

Location: Remote - Global Workplace: Remote About the company Trust Wallet is the secure, self-custody Web3 wallet that empowers people to own and control their digital assets. Whether you're new to crypto or an experienced user, Trust Wallet makes it easier, safer, and more convenient to explore Web3, securely access dApps, manage your crypto, and buy and sell digital assets, all in one place. About the Role We're looking for a Lead AI Engineer to own the backend and Agent systems behind our LLM-powered products. The role is end to end: you'll build the Agent workflows, define how we measure quality, keep them reliable in production, and shape where the product goes next. This role is for someone who has shipped LLM features to real users, stayed with them after launch, and can prove with data that their changes made things better. Job Scope: Build and own AI backend and Agent workflows - Design, build, and maintain multi-turn conversation systems, including context management, tool calling, knowledge retrieval (RAG), state management, and human handoff. Drive evaluation and continuous improvement - Define success criteria with Product, Design, and QA leads. - Turn production failures into evaluation samples and regression tests. - Measure the impact and side effects of every change before and after release. Diagnose problems across the stack - Isolate the root cause of failures: model judgment, knowledge gaps, abnormal tool responses, backend instability, or conflicting rules. - Apply the right fix for each cause rather than defaulting to prompt tweaks. Own production reliability - Handle timeouts, retries, graceful degradation, async jobs, and third-party dependency failures. - Make sure every issue is traceable through logs, every change is versioned, and every failure has a recovery path. Shape product and technical decisions - Give clear, reasoned positions on requirements, covering feasibility, cost, risk, and alternatives. - Propose better approaches and break work into phased, shippable deliverables. Communicate proactively and follow through - Share progress, blockers, ETAs, and next checkpoints without needing to be chased. - After launch, track real-world impact and leave clear documentation and handover materials. Requirements: - Production LLM/Agent experience at scale. You've built LLM or Agent features used by 10,000+ active users, and you've maintained and improved them after launch. - Strong backend engineering fundamentals. You're comfortable owning production code, APIs, data flows, and incident troubleshooting. Experience designing and implement backend services in Golang and integrate with LLMs and AI systems. - Real evaluation discipline. You've built evaluation sets, regression suites, and production monitoring, and you can explain how you confirmed an improvement was real rather than random fluctuation. - Ownership mindset. You make decisions, surface risks early, and don't consider a feature done until it's verified in production. - Web3 experience. Preferably 1 year of experience in a crypto, DeFi, or Web3 company (wallet, exchange, L1/L2 protocol, or DeFi platform strongly preferred) ADDITIONAL INFORMATION This is a global and fully remote role. You must have the right to work for the country you are based. WHY WORK AT TRUST WALLET? - Be a part of the world’s leading blockchain ecosystem that continues to grow. - Excellent learning and career development opportunities. - Work alongside diverse, world-class talent, in an environment where learning and growth opportunities are endless. - Tackle fast-paced, challenging and unique projects. - Work in a truly global organization, with international teams and a flat organizational structure. - Work fully remotely with flexible working hours. - Enjoy competitive salary and benefits. Apply today to join our team in building the world’s most trusted and secure crypto wallet and enable a decentralized future for everyone. Trust Wallet is committed to being an equal opportunity employer. We believe that having a diverse workforce is fundamental to our success. *Due to the large amount of the applications, please consider your application as unsuccessful should you not be contacted within 4 weeks from your application date.

Location: Belgrade, Serbia; Bengaluru, India; Cluj-Napoca, Romania; Krakow, Poland; Larnaca, Cyprus; Lodz, Poland; Lublin, Poland; Monterrey, Mexico; Montevideo, Uruguay; Remote.AR, Remote.LATAM-country; Remote.BR, Brazil; Remote.BG, Bulgaria; Remote.CO, Colombia; Remote.GE, Georgia; Remote.PL, Poland; Riga, Latvia; Rosario, Remote.LATAM-country; Sofia, Bulgaria; Tbilisi, Georgia; Varna, Bulgaria; Warsaw, Poland; Wroclaw, Poland; Yerevan, Armenia We are looking for a Solution Architect to own the solution architecture of Java services across Studio and Mosaic. The architect sets service boundaries, API and event contracts, persistence, identity, and integration patterns for authoring, governance, transformation, packaging, and delivery and stays close enough to the code to make those designs real in Micronaut services. Own solution architecture for Java services across authoring, governance, transformation, packaging, and delivery Define service boundaries and contracts for Studio and Mosaic, including assembler, resolver, LMS integration, content delivery, identity, and progress / learning-record services Design a canonical content model for modular lessons, topics, assessments, and media, and keep it stable across Java APIs and React experiences Define taxonomy and ontology services exposed through APIs so classification stays consistent across authoring, search, and delivery Architect workflows for approvals, versioning, quality gates, lineage, and audit trails Design standards-based transformation and packaging across XML, JSON, BITS, QTI, XLIFF, SCORM, xAPI, LTI, PDF, and ePub Lead integration architecture across the component CMS, taxonomy, translation management, search, publishing, and learner channels (including Canvas and Brightspace) Define AI-assisted drafting, tagging, enrichment, semantic search, and recommendation patterns, including how Java services call and govern those capabilities Establish human review checkpoints, attribution, prompt and model versioning, and traceability of AI-generated content Design identity and entitlement integration: Entra ID workforce SSO, Kong as the backend-for-frontend, JWT validation in Java services, LTI 1.3 learner federation, roles, paywalls, and secure access to published content Shape AWS runtime architecture for these services: Aurora PostgreSQL, S3 and CloudFront delivery, secrets, and container deployment Ensure end-to-end observability across authoring, classification, approval, transformation, delivery, and AI actions (OpenTelemetry, metrics, and correlated logs) Set engineering standards for OpenAPI, persistence (JPA and schema migrations), error semantics, and testability of the Java services 8+ years in solution, content, information, or enterprise architecture, with a substantial record of shipping Java services Production experience with modern Java (21+) service frameworks (Micronaut or Spring), Gradle or Maven, REST, and OpenAPI Experience with taxonomy and ontology platforms exposed through APIs Experience with translation workflows, translation memory, glossaries, and XLIFF exchange Knowledge of search and discovery architecture, including semantic search and recommendations Experience with publishing and transformation pipelines Familiarity with learning delivery standards and channels such as LTI 1.3, SCORM, xAPI, Canvas, and Brightspace Experience with API, event, workflow, and file-ingest architectures Strong cloud architecture experience on AWS (relational data, object storage, CDN, secrets, container platforms) Experience with gateway and session architecture, identity integration (OIDC/JWT, SSO, federation), and secure access patterns Familiarity with application stacks such as React front ends consuming Java services Experience integrating structured editors such as CKEditor with content models Experience with logical architecture across presentation, capability, content, integration, and infrastructure layers Hands-on Micronaut, Flyway, and PostgreSQL / Aurora Experience with Kong (or a similar API gateway) as a backend-for-frontend in front of Java APIs Experience with structured component CMS platforms and component-level content models Experience migrating legacy long-form content into modular reusable components Familiarity with xAPI learning-record stores and content analytics Knowledge of semantic standards such as SKOS or RDF Knowledge of content standards such as BITS and QTI Experience governing a canonical model across multiple vendor platforms Experience with OpenTelemetry and Prometheus-style metrics on JVM services

Location: Sarajevo, Bosnia and Herzegovina D-ploy is an IT and Engineering Solutions company with operations across EMEA, including Switzerland, Germany, Czech Republic, Austria, the UK, and the USA. We deliver innovative IT services and solutions to industry-leading clients, focusing on reliability, efficiency, and long-term partnerships that enhance IT productivity and business value. We are currently looking for an IT Onsite Support Technician to support end-users in a professional and regulated environment in Sarajevo. Tasks and Responsibilities Provide first and second level IT support (hardware, software, mobile devices, and peripherals) Act as the primary onsite point of contact for end-user IT issues Troubleshoot incidents and service requests via ticketing system (ServiceNow) Deliver prompt and professional user support (desk-side and remote) Document all activities and resolutions accurately in the ticketing system Support IT onboarding for new employees (equipment setup, user guidance) Maintain and contribute to knowledge base documentation Support continuous service improvement initiatives Requirements Fluent English and Bosnian/Croatian/Serbian (written and spoken) Minimum 2+ years of experience in IT support / onsite support role Strong troubleshooting skills in Windows environment and standard IT tools Experience with ticketing systems (e.g., ServiceNow) Excellent communication and customer-oriented mindset Ability to work independently in an onsite client environment Well-organized, reliable, and detail-oriented Experience in regulated environments (e.g., GxP) is a plus Ability to provide a clean criminal record extract (not older than 3 months) Benefits Broad range of tasks and responsibilities Friendly and international working environment Professional development opportunities Referral program (“Fishing for Friends”) Company-sponsored events Is IT in your DNA? Join us and help deliver IT where it counts.

Location: Belgrade, Serbia D-ploy is an IT and Engineering Solutions company with operations across EMEA, including Switzerland, Germany, Czech Republic, Austria, the UK, and the USA. We deliver innovative IT services and solutions to industry-leading clients, focusing on reliability, efficiency, and long-term partnerships that enhance IT productivity and business value. We are currently looking for an IT Onsite Support Technician to support end-users in a professional and regulated environment in Sarajevo. Tasks and Responsibilities Provide first and second level IT support (hardware, software, mobile devices, and peripherals) Act as the primary onsite point of contact for end-user IT issues Troubleshoot incidents and service requests via ticketing system (ServiceNow) Deliver prompt and professional user support (desk-side and remote) Document all activities and resolutions accurately in the ticketing system Support IT onboarding for new employees (equipment setup, user guidance) Maintain and contribute to knowledge base documentation Support continuous service improvement initiatives Requirements Fluent English and Serbian/Bosnian/Croatian/ (written and spoken) Minimum 2+ years of experience in IT support / onsite support role Strong troubleshooting skills in Windows environment and standard IT tools Experience with ticketing systems (e.g., ServiceNow) Excellent communication and customer-oriented mindset Ability to work independently in an onsite client environment Well-organized, reliable, and detail-oriented Experience in regulated environments (e.g., GxP) is a plus Ability to provide a clean criminal record extract (not older than 3 months) Benefits Broad range of tasks and responsibilities Friendly and international working environment Professional development opportunities Referral program (“Fishing for Friends”) Company-sponsored events Is IT in your DNA? Join us and help deliver IT where it counts.

Location: Serbia; Spain; Cyprus; Poland; Georgia About the Role We are looking for a highly detail-oriented Senior Legal Ops Specialist to review, prepare, and coordinate commercial contracts and waiver documentation for the US market. This fully remote role sits at the intersection of legal analysis, operations, and AI-driven workflows , offering exposure to real business decisions and contract risk management. You will manage a high volume of document reviews and iterative revisions , requiring exceptional attention to detail and strong organizational skills. The role also includes supporting broader legal and compliance matters across the company. Employment Type: - Full-time 8.30 am - 5 pm, New York time. - Remote work. - B2B contract. Key Responsibilities Contract Review & Preparation Review B2B commercial contracts received from clients. Identify risk clauses, inconsistencies, ambiguous wording, and errors in commercial contracts. Prepare structured comments and suggested revisions. Support multiple negotiation and revision cycles. Ensure documents are fully prepared before final executive review. Waiver Document Analysis Review conditional and unconditional waivers. Verify project data accuracy, financial figures, and the legal logic of release provisions. Compare waiver documents against project information. Flag risks and recommend approval or required corrections. Legal Operations & Workflow Coordination Manage document review workflows in ClickUp or similar systems. Track review stages, versions and status updates. Ensure analysis reflects full project context, including state nuances, project type, value, scope, and delivery/installation details AI-Assisted Contract Analysis Use AI tools (e.g., ChatGPT, Claude) for issue spotting, redlining, document comparison, and summaries. Validate AI outputs and refine analysis manually. Contribute to improving prompt templates and AI workflows. Legal Coordination Support Prepare structured materials for external legal counsel. Support internal teams on dispute/mediation cases, landlord matters, and trademark or compliance issues. Escalate complex legal risks appropriately. Cross-Functional Communication Communicate contract comments and required changes to sales managers. Support negotiation cycles with clients through internal coordination. Ensure final documents are accurate and aligned with company risk standards. Requirements Must Have: Degree in Law. 5+ years of experience in contract review, legal support/paralegal work, or legal operations, including experience working independently as an individual contributor. Experience reviewing B2B contracts and commercial documentation. Experience handling difficult negotiations and standing firm on the company's interests. Experience supporting external lawyers/outside counsel. Familiarity with legal frameworks and contract practices across multiple jurisdictions. Fluent English and Russian (C1 minimum required). Strong analytical and structured thinking, with exceptional attention to detail. Practical experience using AI tools for contract and document analysis, including the ability to write own prompts for contract-related work. Proficiency in Microsoft Word or Google Docs, including tracked changes, commenting, and PDF review/version control. Fast learning ability and sound judgment on when to escalate issues. Ability to work independently in a remote, high-volume operational environment. Precision and accountability in document work, including repetitive but high-impact analytical tasks. Strong written communication skills. Digital fluency and comfort with structured workflows. Good to have: Experience in construction, manufacturing, engineering, or other project-based industries. Understanding of US commercial contract logic. Familiarity with state-specific contract nuances. Experience in remote international teams. Benefits Exposure to US commercial contracting practices. Opportunity to work closely with the CEO High-responsibility role with real business impact. Structured processes and collaborative leadership.

Location: United States; Canada Workplace: Remote ABOUT DOCKER Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout. We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default. _______________________________________________________________________ THE ROLE As a Senior Security Engineer, Offensive Security, you'll help drive offensive security at Docker, putting our products, platforms, and cloud infrastructure under realistic adversarial testing to surface and drive out attack paths before real adversaries find them. You'll partner with engineering, product, and leadership to turn findings into durable fixes and to shape how security is designed into every Docker product. You'll apply your expertise in penetration testing, threat modeling, and exploit development to find and eliminate risks across Docker products and infrastructure. Working across cloud infrastructure (AWS, GCP, Azure), containerized environments, and AI/ML products, you'll implement proactive security solutions that scale with Docker's growth. This role offers the opportunity to help improve security programs at a company whose products are trusted by millions of developers worldwide. You'll work in a fast-paced, technically challenging environment where your security expertise directly impacts both Docker's platform and the broader container ecosystem. _______________________________________________________________________ RESPONSIBILITIES - Contribute to security initiatives that align with business goals, helping ensure security is a core component of our products and infrastructure - Support and help implement key security programs such as automated security design reviews, and vulnerability management - Build deep knowledge of software security and architecture, and act as a go-to resource for engineering teams - Partner with engineering to design and implement security architecture and controls across Docker products and platforms - Plan, scope, and execute penetration tests and red-team / adversary-emulation engagements against Docker's products and services - Develop proof-of-concept exploits and produce clear, risk-rated findings with actionable remediation guidance, then retest fixes to confirm closure - Build and maintain offensive security tooling and automation to expand testing coverage and repeatability - Perform security reviews and threat modeling (design, architecture, and code) across Docker products and services, including emerging AI products, and write automated security tests and exploits - Serve on rotating on-call schedule to respond to security events, investigate threats, and coordinate remediation efforts - Educate and collaborate with cross-functional teams (e.g., engineering, product) to promote security practices - Participate in Security Incident response _______________________________________________________________________ QUALIFICATIONS - Have 3+ years in security engineering, including hands-on offensive security and penetration testing across applications and infrastructure - Possess 2+ years of hands-on development experience in Python or Golang - Demonstrate deep expertise in authentication, authorization, including technologies like OAuth, cryptography applications and Zero Trust principles. - Have strong hands-on experience with securing cloud ecosystems (e.g. AWS, GCP, Azure) - Have hands-on penetration testing experience across SaaS web applications and APIs., including manual exploitation beyond automated scanners - Are proficient with offensive tooling and techniques such as. Burp Suite, and OWASP frameworks - Can write security tests and develop exploits and proof-of-concepts that find real vulnerabilities in a product - Understand AI/ML security risks and mitigations, including prompt injection, data poisoning, model extraction, and adversarial attacks - Have practical experience using LLMs and agentic tooling to automate vulnerability discovery, reconnaissance, and pentesting workflows - Have a track record of building security programs and automations from scratch, applying risk-based prioritization - Have experience performing security reviews and building or improving security review automation - Have excellent communication skills, allowing you to explain complex security concepts clearly to technical and non-technical stakeholders - Understand industry standards, and actively keep up with emerging security technologies and models - Are a team player who drives security change via collaboration and cross-functional partnerships - Hold offensive security certifications such as OSCP, OSWE, OSEP, GXPN, GPEN, or CRTO - Have published CVEs, original security research, or conference talks Bonus if you: - Have experience with container escape, Kubernetes attack paths, or cloud red teaming - Have experience testing AI/ML systems for issues like prompt injection, model extraction, and data poisoning _______________________________________________________________________ WHAT TO EXPECT FIRST 30 DAYS: - Meet with security team and key partners across engineering - Gain access to team owned systems, and internal documentation - Complete security awareness training and compliance onboarding - Review application architecture, tech stack and data flow - Review risk registry and annual roadmap - Familiarize oneself with team workflows and processes - Shadow a fellow security engineer during their on-call/secops rotations FIRST 90 DAYS: - Conduct security review on emerging Docker products - Scope and execute your first penetration test against a Docker product or service - Actively participate in architecture design reviews with the team - Contribute to a Security-owned project or initiative - Collaborate with Docker developers to validate and resolve discovered vulnerabilities - Enhance incident response capabilities by participating in on-call rotation and post-incident activities - Create and maintain security documentation and runbooks FIRST YEAR OUTLOOK - Contribute to the security roadmap for improving security controls - Strengthen Zero Trust architecture and least privilege access controls - Enhance security monitoring and anomaly detection - Perform security reviews for major product releases - Own and run recurring penetration tests and adversary-emulation exercises across Docker products, and engage with external researchers - Support audits and ensure compliance with SOC 2, ISO 27xxx - Advocate for “security by design” in all product features - Become well versed in Docker products and emerging AI technologies Visa sponsorship: Not available for this role. _______________________________________________________________________   COMPENSATION & EQUITY All full-time roles include equity. Final compensation is determined on factors including but not limited to experience, skills, qualifications, and location. Canada: CA$271,150 – CA$434,000 base United States: $194,150 – $312,950 base ______________________________________________________________________ POSTING INFORMATION - Open vacancy: This posting is for an existing open role. - AI in hiring: Docker may use AI-assisted tools during our recruiting process. - Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent. ______________________________________________________________________ PERKS & BENEFITS - Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration. - Flexibility that fits your life – We trust you to manage your schedule while delivering great work. - Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break. - Home office support – Set up your workspace for comfort and success. - Technology stipend – Equivalent to US$100 net per month to help support your work. - Learning & development – Annual stipend for conferences, courses, certifications, and continued learning. - Parental leave – 16 weeks of paid parental leave after six months of employment. - Equity for all full-time employees – Share in Docker's long-term success as we continue to grow. - Comprehensive benefits – Medical, retirement, and paid holidays vary by country. - Docker swag – Because representing the whale never gets old. Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community. #LI-REMOTE

Location: Hybrid About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Location: New York City What you will do as a Customer Engineer The Customer Engineer (CE) is the core driver of our technical go-to-market strategy: a trusted technical advisor and primary architect of the customer journey. You will bridge the gap between technical strategy and business value—guiding enterprise clients from initial pre-sales technical validation through onboarding, deployment architecture, and full lifecycle expansion. Sitting within the GTM organization and reporting to a Customer Engineering Leader, you will not hand off your customers once an initial agreement is reached. Instead, you will operate as a quota-carrying technologist, leveraging AI-augmented workflows to eliminate administrative toil so you can focus on high-value architectural design and driving measurable business outcomes across the entire customer journey. Key Responsibilities Technical Validation: Partner closely with Account Executives to lead technical deep-dive discovery, capture business requirements, and map complex customer infrastructure - DNS, CDN, Zero Trust, Network Security, Workers - to fit-for-purpose Cloudflare architectures and bespoke solutions. . Define, scope, success criteria, and technical evaluations plans for Proof of Concepts (PoCs) and Technical Validations. Deliver tailored technical presentations, architectural diagrams, and demonstrations that show how Cloudflare solves specific performance, security, and reliability challenges. Proactively address complex technical objections, security compliance questions, and edge-case architectural requirements during the sales cycle. Take accountability for a suitable solution deployment strategy (Customer, Partner or Cloudflare Professional services) being an integral part of all proposals. Customer Adoption & Value Realization: Provide oversight to technical onboarding and implementation, but not execute the implementation, serving as the primary executive and engineering contact for the customer. Design structured migration and onboarding blueprints tailored to the customer’s environment (e.g. DNS migrations, Zero Trust rollouts, WAF tuning guidance), and act as the lead consultant for customer engineering teams, walking them step-by-step through configuration best practices.  Partner with Account Executives to own discovery, demos, onboarding, technical health, risk, and expansion strategy. Proactively monitor customer health scores and telemetry to ensure rapid time-to-value, resolve integration bottlenecks, and reduce deployment risk. Commercial Accountability & Expansion: Carry a variable quota tied directly to new business acquisition and/or ongoing account growth. Be commercially accountable for ensuring deep platform adoption, retaining revenue, and identifying strategic cross-sell and up-sell opportunities based on product usage data. Lead technical Quarterly Business Reviews (QBRs) to translate platform capabilities into return on investment for C-level executives. Trusted Advisory: Act as a trusted technical advisor throughout the entire customer lifecycle, maintaining a continuous, deep relationship with key stakeholders from initial onboarding through maturity, renewal, and expansion. Provide thought partnership on architecture, AI control layers, security posture, and deployment confidence. Identify potential deployment risks or integration bottlenecks early, and provide remediation strategies to de-risk customer outcomes. AI Orchestration & Workflow Automation: Leverage AI agents, Large Language Models (LLMs), and internal platforms to automate routine tasks such as RFP/Security Questionnaire responses, sandbox provisioning, basic telemetry monitoring, and internal/external documentation, reclaiming your time for strategic customer advisory. Education & Enablement: Partner closely with the Enablement Team to design, build, and govern technical resources. Define, document, and educate both internal teams and customers on deliverables such as Standard Operating Procedures (SOPs), architectural best practices, and technical guides to continuously raise the technical baseline across the organization. Minimum Qualifications Experience: Experience in a customer-facing technical role, such as Solutions Engineering, Customer Engineering, Professional Services,  Sales Engineering, Technical Account Management, or as a Forward Deployed Engineer (years of experience required will vary based on Associate, Senior, Staff, or Principal leveling). Architectural Mindset: Ability to white-board, design, and articulate complex enterprise network and security architectures clearly. Consultative & Advisory Skills: Excellent communication skills with the ability to translate deeply technical concepts into business outcomes for both hands-on engineers and C-level executives. Commercial Mindset: Proven track record of operating in a quota-carrying or revenue-aligned environment, with a strong understanding of SaaS metrics, business value translation, and enterprise sales cycles. Communication: Exceptional presentation and stakeholder management skills, capable of bridging the gap between deep technical implementation details and high-level C-suite business strategy. Technical Breadth: We do not expect every candidate to be an expert in every domain. Qualified candidates will demonstrate depth in at least four of the technical areas below: Internet fundamentals: Deep understanding of how the Internet works, including OSI Model layers 1–7, BGP, GRE, TCP/UDP, DNS (authoritative and recursive), HTTP(S), and SSL/TLS. Security: Expertise in the security of Internet properties, including WAF, Bot Management, Firewalls, Rate Limiting, (M)TLS, Zero Trust, and SASE concepts. Performance: Expertise in the performance of Internet properties, including speed, latency, caching, video streaming, HTTP/2, and TLS 1.3. AI Proficiency: Familiarity with prompt engineering, AI-assisted scripting and log analysis, LLM utilization, and workflow automation to augment everyday CE workflows. Coding/Scripting: Proficiency in Python, JavaScript, Bash, Lua, Go, or similar languages to write custom integration scripts, API connectors, and edge computing functions. Developer Platform Fluency: Experience designing, building, deploying or scaling applications using RESTful/GraphQL APIs, SDKs, webhooks, and developer tooling in cloud-native environments. Familiarity with infrastructure-as-code (Terraform, Pulumi), CI/CD pipelines, and observability for developer-led deployments. Strongly Preferred Qualifications (The "Good-to-Haves") Technical Enablement: Track record of creating and delivering technical enablement - workshops, code samples, documentation, or developer onboarding - that accelerates customer adoption of complex platforms. Applied AI Knowledge: Experience with LLM orchestration, Retrieval-Augmented Generation (RAG) architectures, and model-access controls. Regulatory Knowledge: Understanding of regulatory requirements such as PCI DSS, HIPAA, and SOC 2. Hyperscaler / Digital Native Background: Talent coming out of hyperscalers, digital natives, distributed systems environments, or startups is strongly valued for its deeper cloud fluency and advanced architecture depth. Education Undergraduate or graduate degree in Computer Science, Engineering, or a related field. Travel This role may require travel up to 20–50% to attend customer meetings, conferences, industry events, and in-person team collaboration. Compensation This role features a competitive base salary and a variable compensation structure tied directly to the successful execution of full-lifecycle commercial targets, including new business acquisition, ongoing adoption milestones, and overall account expansion. Compensation may be adjusted depending on work location. For New York City, New Jersey based hires: Estimated annual salary of $204,000.00 - $321,000.00 Equity This role is eligible to participate in Cloudflare’s equity plan. Benefits Cloudflare offers a complete package of benefits and programs to support you and your family.  Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun!  The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S. Health & Welfare Benefits Medical/Rx Insurance Dental Insurance Vision Insurance Flexible Spending Accounts Commuter Spending Accounts Fertility & Family Forming Benefits On-demand mental health support and Employee Assistance Program Global Travel Medical Insurance Financial Benefits Short and Long Term Disability Insurance Life & Accident Insurance 401(k) Retirement Savings Plan Employee Stock Participation Plan Time Off Flexible paid time off covering vacation and sick leave Leave programs, including parental, pregnancy health, medical, and bereavement leave What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs.  More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer.  We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness.  All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities.  Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.  If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

Location: Chicago, Illinois, United States, Redwood City, CA, United States WHAT IS BOX? Box (NYSE:BOX) is the leader in Intelligent Content Management. Our platform enables organizations to fuel collaboration, manage the entire content lifecycle, secure critical content, and transform business workflows with enterprise AI. We help companies thrive in the new AI-first era of business. Founded in 2005, Box simplifies work for leading global organizations, including JLL, Morgan Stanley, and Nationwide. Box is headquartered in Redwood City, CA, with offices across the United States, Europe, and Asia. By joining Box, you will have the unique opportunity to continue driving our platform forward. Content powers how we work. It’s the billions of files and information flowing across teams, departments, and key business processes every single day: contracts, invoices, employee records, financials, product specs, marketing assets, and more. Our mission is to bring intelligence to the world of content management and empower our customers to completely transform workflows across their organizations. With the combination of AI and enterprise content, the opportunity has never been greater to transform how the world works together and at Box you will be on the front lines of this massive shift. At Box, we believe unique and diverse experiences benefit our culture, our products, our customers, our company, and our world. We aim to recruit a passionate, high-performing workforce that reflects the world we live in. If you are head-over-heels about this role but unsure if you meet all the requirements, we encourage you to apply! WHY BOX NEEDS YOU Box is building a modern, AI-first Strategic Sourcing and Procurement Intelligence & Operations organization that makes it easier for Boxers to buy, scale, and manage technology spend — while unlocking business value, maintaining strong controls, and mitigating third-party risk. WHAT YOU'LL DO We are looking for a Value Delivery Partner to work directly with our Box stakeholders, with a focus on Value Delivery, while collaborating across broader procurement functions including Direct (Engineering) and Indirect (GTM & Enable) teams. In this role, you will: Procurement Operations & Spend Intelligence:  Support Procurement Operations with spend reporting, process optimization, and strategic continuous improvement initiatives. Intake & Workflow Management: Process and handle incoming Zip intake requests, ensuring smooth triaging, proper documentation, and seamless routing through approval channels. Cross-Team Collaboration & Coverage:  Act as a critical backup and support partner for both the direct & indirect sourcing teams and procurement teams, flexibly assisting across various categories and ad hoc procurement needs. Lead Sourcing & Renewals: Drive end-to-end sourcing lifecycles, manage commercial and technology contracting, and actively oversee and manage the Renewals Desk to optimize timing, commercial terms, and supplier performance across mission-critical cloud software and security tooling. This is a high-impact, problem-solving role, not an administrative one. As an AI-first company, we need a sourcing professional who looks beyond legacy sourcing motions — knowing how to leverage AI tools, effective prompting, and data intelligence to accelerate cycle times, proactively manage renewal pipelines, and deliver commercial value while fostering strong, trusted cross-functional relationships. WHO YOU ARE We are an AI-first company. This means you approach your work with a growth mindset and find ways to leverage AI to help make faster, smarter decisions that will 10X your impact at Box. Blended Sourcing & Operations Experience: You bring 3–6+ years of progressive experience across strategic sourcing, renewals management, procurement operations, vendor management, or spend analytics — ideally within high-growth technology, SaaS, or Cloud environments. Adaptable & Collaborative Problem Solver: You are an adaptable, quick learner who is comfortable stepping in to help a wide variety of stakeholders across diverse, evolving tasks and cross-functional teams. Data Analysis, Insights & Recommendations: You love working with data and have advanced skills in Excel/Google Sheets, spend reporting tools, and business intelligence. You are adept at extracting data, running queries, synthesizing insights, and delivering clear, actionable recommendations to leadership. AI Prompting & Modern Workflow Savvy: You have practical knowledge of utilizing AI prompts, generative AI tools, and automation to streamline workflows, draft communications, analyze spend, eliminate manual overhead, and accelerate delivery. Continuous Improvement & Systems Builder: You have a builder's mindset. Whether leveraging AI prompting, refining Zip workflows, or applying Lean/Six Sigma principles, you look beyond single transactions to design scalable, repeatable processes that elevate organizational efficiency. Zip & Procurement Systems Knowledge: You bring hands-on knowledge with Zip (intake-to-procure) or strong familiarity with modern procurement orchestration platforms. Comfortable with Technology Contracting: You understand technology contracts (SaaS, IaaS, security tools, professional services), licensing metrics, and commercial negotiation levers; you are comfortable partnering with Legal and InfoSec to finalize agreements. Cross-Functional Communicator: You build strong working relationships across Engineering, Security, Finance, Legal, and Accounting, communicating complex data and commercial terms clearly. Education & Credentials: Bachelor's degree in Supply Chain, Business Analytics, Finance, Information Systems, or equivalent practical experience. Experience with Zip preferred. Six Sigma / Lean certification preferred. Box lives its values, with community and in-person collaboration being a core part of our culture. Boxers are expected to work from their assigned office a minimum of 3 days per week. Your Recruiter will share more about how we work and company culture during the hiring process. At Box, we believe unique and diverse experiences benefit our culture, our products, our customers, our company, and our world. We aim to recruit a passionate, high-performing workforce that reflects the world we live in. If you are head-over-heels about this role but unsure if you meet all the requirements, we encourage you to apply! EQUAL OPPORTUNITY We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability, and any other protected ground of discrimination under applicable human rights legislation. Box strives to respect the dignity and ‎‎independence of people with disabilities and is committed to giving them the same ‎‎opportunity to succeed as all other employees. Inclusiveness is core to our culture at Box, and we strive to ensure you get the most from your interview experience. Box makes reasonable accommodations for applicants with disabilities. If a reasonable accommodation is needed to participate in the job application or interview process, please complete this form . Reasonable accommodations may include scheduling adjustments, document dictation and beyond. Notice to applicants in Los Angeles:  Box, Inc and its related branches will consider for employment, qualified applicants with criminal histories in a manner consistent with the Los Angeles Fair Chair Ordinance.  The Fair Chance Ordinance is provided here . Notice to applicants in San Francisco:  Box, Inc and its related branches will consider for employment, qualified applicants with criminal histories in a manner consistent with the San Francisco Fair Chair Ordinance.  The Fair Chance Ordinance is provided here . For details on how we protect your information when you apply, please see our Personnel Privacy Notice. If you are a California-resident, please read our California Applicant & Candidate Privacy Notice here . NOTICE OF USE OF AI At Box, we believe in the power of AI to improve the recruiting process while keeping people at the heart of every decision. For more information on the use of AI in our hiring process, please visit our webpage here . Box is committed to fair and equitable compensation practices. Actual base salary (or OTE if commissionable role) is dependent upon factors such as: knowledge, skill level, experience, and work location. This role is also eligible for equity and benefits. For more information, check out our benefits and perks . In accordance with OFCCP compliance, here is the Pay Transparency Provision . Chicago Pay Range $71,000 — $89,000 USD Box is committed to fair and equitable compensation practices. Actual base salary (or OTE if commissionable role) is dependent upon factors such as: knowledge, skill level, experience, and work location. This role is also eligible for equity and benefits. For more information , check out our benefits and perks . In accordance with OFCCP compliance, here is the Pay Transparency Provision . San Francisco Pay Range $71,000 — $89,000 USD Box is committed to fair and equitable compensation practices. Actual base salary is dependent upon factors such as: knowledge, skill level, experience, and work location. This role is also eligible for equity and benefits. For more information, check out our benefits and perks . In accordance with OFCCP compliance, here is the Pay Transparency Provision . United States Pay Range $71,000 — $89,000 USD

Location: Egypt Workplace: Remote Specright is the first purpose-built, patented platform for Specification Management. Whether it's packaging, raw materials, formulas, products, or machines, Specright helps companies digitize, map, and take action across their supply chain to reduce costs, increase profitability, and drive sustainability. Specright serves customers across industries, including packaging, food and beverage, consumer packaged goods, pharmaceutical, retail, industrials, and more. We're looking for an Agentic Software Engineer (Full-Stack) to help us ship reliable, user-facing AI agent products to production — fast. You'll work at the intersection of modern AI tooling and strong software engineering discipline, building agentic experiences that our customers and internal teams rely on every day.This is not a research role. You will own production systems end-to-end: designing agent architectures, writing and reviewing code (often with agentic coding assistants), setting up rigorous evals, and operating what you build. If you care about making AI agents that actually work — not just demo well — this roleis for you. What You'll Do - Build and Ship Agentic Applications Design, develop, and deliver agentic products end-to-end — including chat-based interfaces, AI workflow tools, and internal copilots — that serve real users in production. - Leverage Agentic Coding Workflows Use modern agentic coding tools daily (e.g., Claude Code, Codex, Cursor, and similar assistants) to accelerate delivery while maintaining high code quality and engineering standards. - Design Agent Systems Architect agent internals: tool calling, multi-step orchestration, memory and state management, retrieval pipelines, permissions models, and failure recovery strategies. - Own Evals and Quality Build and maintain agent evaluation infrastructure — regression suites, scenario-based tests, golden traces, and both offline and online metrics — so you always know whether your agent got better or worse. - Implement Observability Instrument agents with production-grade observability: distributed tracing, prompt and version tracking, tool-call telemetry, and cost/latency monitoring. - Own Production Readiness Take responsibility for the full lifecycle: rollout plans, QA, guardrails, incident response, and continuous improvement of deployed agents. What You Bring (Must-Haves) - Proven full-stack engineering ability. You've shipped production software end-to-end — not justprototypes or demos. - Hands-on experience building LLM-powered agents that work in production. You've owned at least 1–2 agentic features or products through deployment and operation. - Deep familiarity with agentic coding best practices. You understand task decomposition, agent delegation, prompt hygiene, iterative loops, and how to review and steer agentic outputs effectively. - Practical experience with agent evals and tracing. You've gone beyond model benchmarking to build evaluation systems specifically for agent behavior — including trace-based debugging and regression detection. - Solid engineering fundamentals. Testing, debugging, security basics, performance optimization, and reliability are second nature to you. Nice-to-Haves - Proficiency in TypeScript/Node.js and/or Python, with experience in modern web stacks and startup-pace delivery. - Familiarity with agent tooling ecosystems: prompt/version stores, eval harnesses, tracing and telemetry platforms (OpenTelemetry, LangSmith, Datadog, Honeycomb, or similar). - Experience with RAG architectures: vector databases, indexing strategies, chunking approaches, and retrieval evaluation. - Experience designing tool APIs for agents: structured output schemas, idempotency, rate limiting, and error handling patterns that make agents more reliable. We are an energetic company with an entrepreneurial, informal, versatile, intelligent, and fast-paced culture. We are a 100% remote company and promote an open and relatively flat organization with an emphasis on collaboration, sharing ideas, and information. It's more important to innovate than to worry about making mistakes. Specright is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Location: Remote - United States Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . Location: Reddit has a flexible first workforce. Don't live near our office? No worries: you can work remotely from anywhere in the US or Canada. About the Team The ML Efficiency team builds the infrastructure, tooling, and optimization systems that enable machine learning engineers and researchers to train, evaluate, deploy, and operate models efficiently at scale. We focus on improving developer productivity, reducing infrastructure costs, increasing hardware utilization, and accelerating experimentation across the company’s ML ecosystem. Responsibilities Design and build systems that improve the efficiency of ML training and inference workloads. Develop tooling that helps ML engineers debug, profile, optimize, and monitor model performance. Improve GPU and general resource utilization through scheduling, resource management, caching, and workload optimization. Partner with ML researchers and product teams to identify bottlenecks and drive performance improvements. Build benchmarking frameworks and performance dashboards for training and serving systems. Optimize distributed training infrastructure, data pipelines, and model serving architectures. Lead cross-functional initiatives that improve the productivity of Reddit ML engineers. Drive technical strategy for ML platform scalability, reliability, and cost efficiency. Qualifications Required BS, MS, or PhD in Computer Science or a related field. 5+ years of software engineering experience. Strong proficiency in Python Profiency in at least one systems language (Go, C++, Rust, or Java) preferred Experience building distributed systems at scale. Experience with machine learning infrastructure, training systems, or model serving platforms. Deep understanding of performance engineering and systems optimization. Strong debugging and profiling skills. Preferred Experience with large-scale recommendation, ranking, generative AI, or foundation model systems. Experience with distributed training frameworks such as PyTorch Distributed, Ray, Tensorflow, Spark Familiarity with GPU architectures and performance analysis tools. Experience optimizing cloud infrastructure costs across large ML workloads. Contributions to internal platforms used by multiple ML teams. Experience with building real time ML inference applications What Success Looks Like ML engineers can move from idea to experiment faster. Training and inference costs decrease, performance increases, while model quality is maintained or improved. GPU utilization and cluster efficiency increase. Platform reliability improves as ML workloads scale. Teams spend less time managing infrastructure and more time building models. Average recommendation model size increases. Benefits: Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support Family Planning Support Gender-Affirming Care Mental Health & Coaching Benefits Group Personal Pension Scheme with Employer match Private Medical and Dental Scheme Income Replacement Programs Bike to Work scheme Flexible Vacation & Paid Volunteer Time Off Generous Paid Parental Leave Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/ . To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base salary range for this position is: $230,000 — $322,000 USD In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable.  We will not sell your personal information or disclose it to any third party for their marketing purposes.  We will delete any recording of your interview promptly after making a hiring decision.  For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors . Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve.  Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

Location: Remote - United States Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . Reddit is a community of communities where people can dive into anything through experiences built around their interests, hobbies, and passions. Our mission is to bring community, belonging, and empowerment to everyone in the world. Reddit users submit, vote, and comment on content, stories, and discussions about the topics they care about the most. From pets to parenting, with over 100,000 active communities and over 70 million daily active users, it is home to the most open and authentic conversations on the internet. Team description: Notifications is responsible for several of the company’s major product surface areas that drive a significant portion of Reddit’s user growth. You will work on building a real-time notifications platform (in-app, push, email, and potentially new channels) that can surface the right content to the right user at the right time in the right context. You will also be responsible for tackling difficult challenges around reach and addressability, off-platform conversion, new inventory development, and optimization of post-click experiences within a variety of operating systems and channels to build a delightful product for user engagement and retention. This role will partner closely with the Senior Group Product Manager on the team. Responsibilities : Drive and execute product vision and strategy for Notifications Engagement, focused on improvements to the value proposition for users and their retention. ​​Maintain and communicate a prioritized roadmap to support Notifications and company strategic initiatives Work closely with design, data, developers and product managers to understand problems, capture new ideas and manage a prioritized backlog of requirements Participate in quarterly planning sessions to define initiatives, resolve dependencies and perform data-driven prioritization Analyze feature/experiment results and communicate learnings to the team and the company. Synthesize insights by analyzing data to help build more personalized and better product features. Work closely with internal business, operations and partnerships teams in launching and maintaining features that impact Reddit’s growth. Drive market and usability research to understand opportunities and develop strategy. Required Experience: 5+ years of product management experience: You have experience growing at-scale consumer products and understanding of growth via improved user experiences. You have strong analytical skills, can build SQL queries from scratch and are able to solve complex problems by analyzing data, leading to data driven decisions. You have proven experience developing long-term strategies and product roadmaps, setting OKRs, defining, running, and measuring experiments, and working collaboratively with peers from engineering, PM, data science, and other cross-functional teams. You have a passion and drive for testing and learning at a fast pace. You know how to define team goals and success metrics, and ensure that we are tracking towards improvements that align with Reddit's wider business objectives You have exceptional independent problem-solving skills, attention to detail, flexibility, and ability to collaborate with others and to work in a fast-paced environment. You are a compelling influencer with great communication and interpersonal skills, with the ability to align a diverse group of stakeholders towards a common goal. Preferred Experience:: Experience with Consumer Growth and scaled experimentation Experience working on high-traffic consumer experience and/or ML-adjacent products UX / Mobile, Engineering and/or Data Science background Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/ . To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base salary range for this position is: $190,800 — $267,100 USD In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable.  We will not sell your personal information or disclose it to any third party for their marketing purposes.  We will delete any recording of your interview promptly after making a hiring decision.  For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors . Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve.  Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

Location: San Francisco, 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. Sierra was co-founded by Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/ who first met while working together at Google over 20 years ago. Bret currently serves as Chairman of the Board of Open AI. Previously, he was co-CEO of Salesforce and CTO of Facebook. Clay spent 18 years at Google, where he most recently led Google Labs. ABOUT THE TRAVEL, TRANSPORTATION AND HOSPITALITY TEAM - The Travel, Transportation and Hospitality (TTH) supports some of the largest airlines, hotel chains, rental car brands, cruise lines and travel tech companies in the world. Our customers are pioneers in the travel space and are true thought partners in shaping our platform, helping reinvent what hospitality looks like in this new era. Our customers rely on us not only to deliver exceptional customer experiences, but also to drive meaningful growth for their businesses. - Our TTH team is constantly pushing the bounds of what is possible within this industry and beyond. We help support our customers in the moments that matter — whether that’s proactively encouraging new bookings to prepare for exciting events, or helping guests rebook their flights or stays during times of distress. We help our customers maximize the lifetime value of their guests and build products to delight guests at every touchpoint. - We’re a small and scrappy team, and we support each other with any deliverables we have to meet. Every engineer on TTH is also a product-led thinker; every PM on TTH is tinkering and developing tangible prototypes; and every strategist on TTH is capable of owning an agent end to end. As a part of this team, you’ll set the standard for what it means to go beyond your role, and help build the travel industry of the future. 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 - Lunch, as well as delicious snacks and coffee to keep you energized when working onsite - 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 employment type, 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 through the link on this page even if your experience doesn't precisely match the job description. Sierra is a proud equal opportunity employer. All qualified applicants will receive consideration for employment without regard to any characteristic protected by applicable federal, state or local laws, including veteran status and disability status. Hiring decisions are made by people, based on merit. If you need a reasonable accommodation for a disability, a religious practice, pregnancy or any related condition at any point in the application or interview process, contact us at accommodations@sierra.ai. Requests are handled confidentially and do not affect your candidacy. We will consider qualified applicants with arrest and conviction records in accordance with applicable fair chance laws.

Location: New York, NY Workplace: OnSite ABOUT US At LangChain, our mission is to enable every company to own its intelligence. We believe agents will transform how companies operate, and we're building the foundation to make that future possible. Our open-source harnesses and LangSmith platform give developers and enterprises the infrastructure to run, improve, and govern agents at scale. We've raised $460M to date, with our most recent funding round valuing the company at $3B, backed by leading investors including Sequoia, Benchmark, IVP, and CapitalG. As we continue to expand our platform and tackle some of the hardest challenges in agent engineering, every team member has the opportunity to make a meaningful impact and help shape both our technology and the future of the industry. More than 7,000 organizations rely on LangSmith, from fast-growing startups to Fortune 500 enterprises, including NVIDIA, Bridgewater, LinkedIn, Workday, and Rippling. We're just getting started on making high-performing agents easier to build and manage at scale. ABOUT THE TEAM The LangSmith team owns and builds LangChain's core platform for observability, evaluation, and production reliability of AI systems. From tracing and annotation to run rules, evaluations, and beyond, this team owns LangSmith end-to-end. If you want to define what great AI observability looks like at production scale, this is where that work gets done. ABOUT THE ROLE We're looking for a Product Manager to own key parts of LangSmith. Building AI products is changing the way software teams work; LangSmith is the observability, evals and deployment platform that makes shipping reliable AI systems possible. WHAT YOU'LL DO This role sits at the intersection of user experience and production infrastructure. You'll partner with engineers to build features that feel intuitive while solving deeply technical problems: versioning complex prompt chains, debugging multi-step agent failures, or designing evaluation systems that scale from 10 to 10,000 test cases. You'll work directly with customers — from early-stage startups shipping their first agent to enterprises running mission-critical AI systems — to understand where the platform breaks down and what capabilities unlock new workflows. - Own the roadmap for a core area of the LangSmith platform. - Work with customers to understand their challenges and define new product features. - Work with engineering to define scope, make technical tradeoffs, and ship high-impact features quickly. - Help shape product strategy alongside our founders and leadership team. WHAT YOU'LL BRING - 3+ years of product management or engineering experience, ideally building developer tools, infrastructure products, or technical SaaS platforms. - Deeply technical — you can hold your own in conversations about API design, system architecture, data pipelines, and debugging production issues. - Bias toward action — you'd rather ship, learn, and iterate than build the perfect solution upfront. - Strong written and verbal communicator who can align cross-functional teams around a shared vision. NICE TO HAVE - Computer Science, Engineering, or equivalent technical background. - Previous experience at a high-growth startup or developer-focused company. - Hands-on experience building with LLMs, agents, or AI applications. - Annual salary range: $180,000-$240,000 COMPENSATION PHILOSOPHY: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.

Задачи: — Разработка production-ready AI, LLM и agent-based решений. — Управление полным циклом разработки AI: архитектура, реализация, тестирование, деплой и эксплуатация. — Интеграция компонентов на базе LLM с детерминированной логикой, Context Engineering и Harness Engineering. — Разработка Tool Calling Loops и подключение API, backend-сервисов и корпоративного ПО. Требования: — Минимум 3 года опыта создания и поддержки production AI приложений на базе LLM. — Не менее 3 лет практического опыта в Agentic Engineering, включая дизайн, реализацию, интеграцию, деплой и поддержку AI агентов. — Опыт разработки Tool Calling Loops и интеграции с API и backend. — Опыт интеграции LLM-компонентов с Context Engineering и Harness Engineering (минимум 1 год). — Знание MCP и корпоративных AI интеграций. — Опыт с RAG-решениями и разработкой LLM приложений. — Умение управлять полным циклом AI разработки. — Отличные коммуникативные навыки для взаимодействия с командами и бизнес-стейкхолдерами. — Наличие минимум 2 проектов с подтверждённым опытом коммуникации со стейкхолдерами. Дополнительные преимущества: — Знания в области AI governance, безопасности, комплаенса и защиты данных. — Опыт работы с инструментами мониторинга AI, такими как Langfuse, Arize и аналогичными. — Опыт с корпоративными AI экосистемами, AI шлюзами, управлением жизненным циклом prompt и governance моделей. — Понимание дизайна мультиагентных систем и оркестрации агентов. — Более 2 лет опыта с RAG и MCP серверами. — Знакомство с AWS и AWS Kiro. — Опыт внедрения AI guardrails и мер безопасности. — Знание CI/CD и практик автоматизированного тестирования. Условия: — Контракт до 31 декабря 2029 года с возможностью продления. — Полная занятость. — Полностью удалённая работа в пределах ЕС. — Требуемый уровень английского C1. — Старт как можно скорее.

Location: Boston Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. FUNCTION OVERVIEW Harvey's Legal Engineering team is composed of former practicing attorneys who work to bring value to Harvey's prospects and customers. Legal Engineers lead discovery, demos, trainings, and onboarding alongside our AEs and CSMs. They translate real legal work into Harvey solutions, serving as the trust layer across the entire customer lifecycle, from the first pilot to the most complex, custom-built workflow. At Harvey, we segment the Legal Engineering function into three teams: Legal Engineers (Pre-Sales), Legal Engineers, Product Specialists (Post-Sales), and Legal Engineers, Custom Solutions (Pre- and Post-Sales). Legal Engineers across all three subgroups understand how lawyers think and work, and use that expertise to design, build, and refine solutions that hold up under live in-practice pressure. In doing so, they don't just drive adoption; they shape Harvey's product roadmap, ensuring every release is grounded in what the legal profession needs. It's a team built to power Harvey as the platform lawyers can trust with their most important work. You may be asked to travel around 2-3+ times per month. Travel is always for a significant business need and typically is for 1-3 days at a time. WHAT YOU'LL DO Legal Engineer (Pre-Sales) Legal Engineers are lawyers who left practice to help build the future of legal work. Working closely with Account Executives, they engage with many of the world’s leading law firms and legal teams throughout the pre-sales process. They lead collaborative pilot programs, guide prospects through what’s possible with AI, and work alongside lawyers to understand their workflows, build tailored solutions, and demonstrate meaningful value in real legal use cases. Along the way, they bring prospect feedback back into the product, helping shape the future of Harvey. Legal Engineer, Product Specialist (Post-Sales) LEPS take over once a prospect becomes a customer. LEPS build trusted relationships with many of the world's leading legal teams by learning their workflows and showing them how to weave Harvey into daily practice. The LEPS role spans the entire customer journey, from leading onboarding and enablement, to sitting down with a full practice group to build agents on real matters. Along the way, the LEPS translates legal practice needs into actionable feedback for product and engineering, contributes to customer-facing content across practice areas, and upholds Harvey's credibility as the leading AI platform for lawyers. Legal Engineer, Custom Solutions (Pre-Sale and Post-Sale) LECS are a specialist group that work on complex no-code custom Harvey in-app solutions. LECS meet with group heads, general counsel, and other senior stakeholders to learn how key processes run today. Drawing on their legal expertise, they use natural language prompting to design bespoke resources, including agents, playbooks, and other tools, that improve the quality, speed, and experience of that process. The build is collaborative. The LECS scope it with the customer, prototype against sample documents, and refine it alongside their team. Most LECS work happens post-sale, but the team also supports strategic accounts pre-sale on an advisory basis. LECS concentrates narrowly on designing tools that automate a specific process, and on building relationships with the senior leaders who own it. *In your initial interview with our recruiting team, you'll learn more about all three roles, and we'll identify which may be the best fit based on your background and our current hiring needs. WHAT YOU HAVE - JD or equivalent legal qualification. - 3 + years of practicing law in-house, at a top-tier law firm, or advising a sophisticated corporate legal team. - Strong understanding of the workflows, challenges, and demands of in-house legal teams, including balancing legal risk with business priorities. - Executive presence and relationship-building skills, with the ability to establish credibility with legal and business stakeholders at all levels. - Outstanding communication and presentation skills — comfortable leading a live demo, facilitating a workshop, or engaging in strategic customer conversations. - Deep curiosity about AI's potential to transform legal work, paired with a practical, solutions-oriented mindset and bias toward action. - Track record partnering with senior stakeholders to drive results, with curiosity for testing approaches and optimizing for customer outcomes. - Cross-functional experience (business, ops, compliance, product), sales/customer-facing experience (law firm BD, secondment), and/or hands-on experience using AI tools in legal practice are all pluses. COMPENSATION $220,000 - $320,000 USD OTE 75/25 split DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES [HERE https://www.notion.so/harveyai/Harvey-Candidate-Privacy-Policies-319ac3fcdd7a803bb807d5094f249922]. #LI-LS1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai