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Location: Singapore, Singapore OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX's sponsorship of a visa. Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About The Opportunity We are looking for a Senior Staff Mobile Engineer to join our Mobile Infrastructure team, the foundational engineering group that powers the OKX app for millions of daily active users. This is not a feature delivery role. You will work at the platform layer, building the tools, frameworks, and systems that enable product engineering teams to move faster, ship higher quality code, and scale reliably. You are deeply native in either iOS or Android, and confident contributing across both platforms leveraging AI coding tools to move fluidly between stacks. You care about engineering quality at the foundation level: architecture, performance, toolchain, and developer experience. What You'll Be Doing Build and maintain mobile infrastructure, tooling, and shared frameworks that improve engineering efficiency and developer experience across the organisation. Analyse and optimise application code at the UI and infrastructure layer, including memory footprint, package size, startup time, and rendering performance. Design and develop reusable, scalable mobile components for use across iOS and Android platforms. Partner with product engineering teams to deliver infrastructure solutions, establish best practices, and drive technical standards. Drive architecture innovations that support world-class mobile app development at scale. Optimise project structure and engineering workflows to improve productivity, quality, and release velocity. Apply AI coding tools to accelerate infrastructure development, improve code quality, and cross-translate solutions across iOS and Android platforms. Stay current with mobile platform developments and emerging toolchain innovations, evaluating and adopting what moves the needle. What We Look For In You 6+ years of native iOS or Android development experience, with a strong track record in infrastructure, platform, or architecture work. Deep expertise in either iOS (Swift/Objective-C/C++) or Android (Kotlin/Java, Jetpack), with confidence contributing across both platforms. Actively uses AI tools in your engineering workflow — including building AI-leveraged workflows, curating domain knowledge bases, and codifying repeatable agent skills so tools like Claude Code or Codex deliver reliably on real production work. Proven experience optimising app performance — memory, package size, startup time, and UI rendering — in production environments at scale. Deep understanding of design patterns, architectural principles, and the mobile SDK layer for building scalable, high-performance components. Working knowledge of remote APIs, concurrency, layouts, transitions, animations, client-side persistence, and mobile architectural patterns. Strong communication skills — comfortable collaborating across global teams and delivering large-scale engineering outcomes independently. Nice-To-Haves Experience working in a dedicated mobile architecture or infrastructure team with deep platform specialisation. Hands-on experience across performance optimisation, toolchain engineering, automated testing frameworks, or design pattern standardisation. Experience working across both iOS and Android in a production infrastructure context. Familiarity with cross-platform frameworks such as React Native or Flutter. Experience in fintech, crypto, or other high-scale consumer app environments. Perks & Benefits Competitive total compensation package L&D programs and Education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! More that we love to tell you along the process! #LI-ML1 #LI-ONS Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: United States; Toronto, Canada About Our Client Our client builds and scales vertical market software companies. They partner with strong teams, invest in the long term, and run disciplined operating systems to drive sustainable growth across their portfolio. About the Product Our client is on a mission to transform the way customers operate. Their AI-powered agent is designed to connect to existing tools, resolve questions, book appointments, and close deals automatically, 24/7, through voice, text, and email. They are a fast-scaling, tech-driven startup backed by leading software investors. The Opportunity We’re hiring a Sales Lead to drive new business growth for our client. This is a full-cycle sales role for an experienced seller who can personally close business, build a repeatable outbound motion, and help shape the go-to-market strategy for a high-growth AI product. You’ll own the sales process from prospecting through close and customer handoff. You’ll be one of the first commercial hires, which means you’ll have real influence on positioning, pricing, sales process, and how the product is brought to market. You’ll work closely with executive leadership and cross-functional stakeholders across Product, Partnerships, Marketing, and Customer Success. This role is designed for someone who thrives in builder environments, is energized by a product that sells itself once prospects see it, and wants ownership over outcomes, not just activity. Requirements Drive New Business Growth Own the full sales cycle: prospecting, discovery, demos, proposals, negotiation, and close. Build and maintain a target account strategy by segment and customer profile. Clearly articulate the ROI, efficiency gains, and revenue impact of AI-powered call handling and booking automation. Seamlessly transition new customers to onboarding and Customer Success for activation and first value realization. Build a Repeatable Outbound Motion Lead outbound strategy and execution across calls, email, LinkedIn, and industry events. Develop and iterate on talk tracks, competitive positioning, objection handling, and demo structure. Establish pipeline creation targets and inspection routines that translate activity into predictable results. Create repeatable playbooks covering segments, sequences, cadences, and qualification criteria. Shape the Go-to-Market Strategy Share structured customer insights and market feedback with Product and leadership to inform roadmap, pricing, and packaging decisions. Maintain accurate pipeline, activity tracking, and forecasting in CRM (HubSpot). Consistently meet or exceed monthly and quarterly KPIs across outreach, demos, pipeline, and revenue. Coordinate with Partnerships and Marketing to leverage partner channels and campaigns for pipeline generation. What Success Looks Like In the First 90 Days You’ve built a clear target account list by segment and launched outbound motions that are producing qualified opportunities. CRM pipeline and activity tracking are clean, reliable, and maintained. You’ve delivered multiple demos, progressed deals through the pipeline, and closed your first customers. In 6 to 12 Months A predictable sales engine is running: outbound activity is converting to qualified pipeline, and pipeline is converting to closed revenue. You’ve closed a meaningful book of new business and the customer base is growing steadily. Sales playbooks, talk tracks, and demo flows are documented and repeatable. You’re contributing to expansion beyond the initial vertical, identifying and testing new market segments. Benefits Required 3 to 5+ years of proven success in B2B SaaS new business sales, with a strong track record of closing. Strong hunter mentality: comfortable with outbound prospecting and generating your own pipeline, not reliant on inbound leads. Experience managing a full sales cycle from first contact through contract execution. Confident running discovery calls and solution-based sales conversations that connect product capabilities to business outcomes. Experience building or materially improving a sales motion: process, messaging, cadence, and forecasting. Strong communication, presentation, and relationship-building skills. CRM experience (HubSpot, Salesforce, or equivalent). Self-motivated, goal-driven, and comfortable working autonomously in a fast-paced, evolving environment. Preferred Experience selling in marine management, storage systems, dealership platforms, or adjacent verticals is a strong plus. Experience selling AI, automation, or voice/conversational technology products. Experience in vertical market software or operationally complex environments where the buyer is an operator, not a tech team. Startup or early-stage SaaS experience where you had to build the motion, not just run it. Why Join Sell a product that prospects can see and hear in action from the first demo, in a market that is ready for it. Ground-floor opportunity: be one of the first commercial hires as the business establishes its leadership team and revenue engine. Direct influence on positioning, pricing, go-to-market strategy, and product direction. Competitive base salary with uncapped commission and high OTE potential.

Location: Paris; London Workplace: Hybrid TL;DR: We're looking for a research engineer to build and maintain our internal suite of benchmarks, covering single/multi-turn content and agentic guardrails. The research engineer would also work with the team on projects studying agent behaviours in the wild. About us White Circle http://whitecircle.com is an AI Safety company building the safety, reliability, and optimization layer for AI systems. At the core of our platform are policies – simple natural-language rules that define what an AI model should and shouldn’t do. We automatically test, enforce, and continuously improve these policies at scale. - We’ve recently raised our Series A funding round, taking our total funding to $70M. Our investors include top funds, founders, and senior leaders at OpenAI, Anthropic, HuggingFace, Mistral, DeepMind, Datadog, Sentry, and others - We process over 100M+ API calls every month - We fine-tune and train our own LLMs so they run faster and cheaper than any open or proprietary model We’re a small, highly focused team. If you want to work deeply on hard problems, see your work ship to production quickly, and influence how AI safety is actually built – you’re the one we need. About the team White Circle's fundamental research team works on the science of how AI systems fail in the real world: where agents break, how misalignment actually looks like to the end user, and how it is present in the model internals. We build the evals, benchmarks, environments, and tooling that empirically study high-impact agent reliability concerns — some of which become the guardrails shipped in our products, and some of which become public writeups. What you’ll do Own and maintain our internal benchmark suite, covering single/multi-turn content guardrails and agentic safety. - Build benchmarks that distinguish specific model capabilities. - Work with the product team to build evals covering core functionality of our flagship models. - Build benchmarks for new features coming out of the research team. - Adapt and extend evals to new verticals and changing product data. - Work on research projects that study and quantify realistic agentic and LLM failure modes in the wild. You’ll fit right in if you - Have built an LLM benchmark from scratch that distinguished specific model capabilities (i.e., produced a measurable, defensible capability difference, not just a score). - Have built synthetic data for post-training textual or multimodal models. - Can reproduce a published benchmark result and identify where the original methodology is fragile or misleading. - You write Python that other people can build on. Our whole stack is Python; we want someone who has shipped and maintained production code and who factors messy problems into clean abstractions others can extend. - You can write efficient LLM inference setups, including sensible orchestration of parallel calls, retries, rate-limit handling. - An AI power-user — fluent with frontier models and coding agents day to day. A big plus - Automated red-teaming experience - Have worked across a range of agentic scaffolds and reproduced public benchmark results on them - Strong knowledge of existing reward-model / monitoring / safety benchmarks - One or more published papers in the evals / safety-evaluation space Compensation & benefits - Competitive compensation, including equity - Flexible time off - Office in central London/Paris with flexible hybrid setup - Relocation support if you’re moving to Paris, available after your probationary period - Premium private health insurance - Mental health support, including coverage for therapy when you need it - Lunch and dinner covered when you work from the office - Learning and development support for courses, conferences, and opportunities to grow your skills - All the hardware, subscriptions, tools, and services you need - Team off-sites twice a year: we’ve recently been to the Alps, Saint-Tropez, and Marbella Process 1. Intro call with Talent 2. Test assignment 3. Technical interview with Head of Fundamental Research 4. Final interview with CEO

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 . Our mission is to bring community and belonging to everyone in the world. Reddit is a community of communities where people can dive into anything through experiences built around their interests, hobbies, and passions. With more than 50 million people visiting 100,000+ communities daily, it is home to the most open and authentic conversations on the internet. From pets to parenting, skincare to stocks, there’s a community for everybody on Reddit. For more information, visit redditinc.com . As a Staff Software Engineer within our SPACE org (Security, Privacy, Assurance, and Corporate Engineering), you will play a critical role on the Identity & Access Management (IAM) team. In this role, you will design, deliver, and support the lifecycle of digital identities, authentication, and access across Reddit. You will partner closely with cross-functional teams to build creative, scalable solutions that align with business priorities and strict regulatory standards. We operate in a dynamic, ambiguous problem space—meaning you’ll work across multiple domains and technology stacks to keep Reddit secure. Some of our present and future challenges include: Modernizing our identity infrastructure by replacing legacy systems with a tailored governance platform. Provide self-service identity management lifecycle and natural language explanation of existing systems in order to improve employee experience with security systems. Integrate Reddit’s corporate identity stack across a variety of protocols like SCIM and SAML, and across a variety of use cases (MCP and Agentic, resource automation that includes identity requirements) and increase Reddit’s maturity with “just-in-time” access and advanced identity constructs. What You'll Do: Engineering & Integration: Develop, scale and maintain Reddit’s core IAM internal identity capabilities, platforms and  infrastructure. Design and deploy high-quality API integrations and custom enterprise IGA connectivity solutions. Observability & Data Analytics: Build proactive monitoring frameworks, executive-friendly dashboards, and advanced alerting. Use synthetic transactions and anomaly detection to measure system availability (aiming for multiple 9s). Utilize identity data to track license utilization, aid in fiscal planning, and drive platform adoption. Process & Compliance: Create and maintain documentation, audit logs, and reports to continuously improve business processes and ensure seamless compliance execution. Operations & Support: Troubleshoot complex production incidents, analyze failure conditions, and perform root-cause analysis to support a 24x7 operation. Collaboration & Mentorship: Guide global, cross-functional partners on IAM best practices while raising the engineering bar through code reviews, technical standards, and optimized workflows. Technologies we use Our teams leverage a diverse and modern technology stack. While specific technologies may vary by team, we generally work with: Languages: Go, Python, Java, TypeScript, SQL Datastores: Postgres, Directory architectures (e.g., LDAP) Tools: Docker, Kubernetes, AWS, SailPoint, Okta What We are Looking For: Experience and Core Capabilities: 10+ years of backend development experience across multiple layers of the stack—from databases and networking to efficient computing. In-depth knowledge of corporate IAM experience covering the full workforce identity lifecycle (Joiner, Mover, Leaver, Access Requests, and Certifications). Ability to design and implement complex distributed systems operating under high load. Proficiency in our core stack: Go, Python, Java, or TypeScript, with a strong DevOps mindset and end-to-end code ownership (testing, monitoring, deploying, and maintaining). Deep understanding of modern authentication protocols (OAuth, OIDC, SAML) and secure-by-design principles. Hands-on familiarity with enterprise identity solutions including IGA, MFA, PAM / PIM, JIT and Directory architectures (e.g., Okta, LDAP, SailPoint). Governance and Compliance: Familiarity with governance and compliance frameworks (SOC2, SOX, PCI), including driving audit-related access certification reviews. Collaboration skills: Strong collaborative communicator thriving in Agile environments, with a continuous learning mindset and a resourceful, "can-do" approach to complex problem-solving. You embody our company value of Evolve: you view challenges as learning opportunities and continuously seek to improve. Benefits: Comprehensive Healthcare Benefits and Income Replacement Programs 401k with Employer Match Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support Family Planning Support Gender-Affirming Care Mental Health & Coaching Benefits Flexible Vacation & Paid Volunteer Time Off Generous Paid Parental Leave Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/ . To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base salary range for this position is: $217,000 — $303,900 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: United States 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 Docker seeks a Principal Software Engineer to define the technical vision and architecture for our internal Developer Tools team. This is a rare opportunity to establish how software is designed, built, shipped, and operated at Docker. With the addition of AI we are modernizing our SDLC and building the mechanisms that make the right way the easy way for every engineer. You'll own the technical strategy across four interconnected pillars: - Platform Engineering & Self-Service: Design and build the internal developer platform that empowers teams across Docker to unblock themselves, rapidly scaffolding, prototyping, deploying, and operating their own services and tools. - CI/CD & Build Systems: Define Docker's technical approach to continuous integration, delivery, and build infrastructure. Establish architectural standards for pipeline tooling, GitOps deployment patterns, build substrate, and release engineering. As Principal Software Engineer, you'll partner with engineering leadership across Docker, principal engineers, Security, Infrastructure, and the service teams to author the SDLC tenets that underpin all of this work, and build the mechanisms those tenets run through. Reporting to the Sr Manager of Developer Tools, you'll collaborate closely with engineering leadership across Docker, product engineering teams, platform teams, and ultimately customers as internal tools evolve into product offerings. _______________________________________________________________________ WHAT WOULD MAKE SOMEONE SUCCESSFUL IN THIS ROLE You're a technical leader who excels at the intersection of developer experience, platform engineering, and systems design. You think in platforms and golden paths, building once and enabling dozens of teams to move faster. You have strong opinions on what makes developer tools great: invisible by default, indispensable once adopted, and measurable in the workflows engineers already use. You have deep experience across the breadth of the developer tooling stack, CI/CD, build systems, observability infrastructure, and developer platforms, and working knowledge of LLM integration and AI agent development. You understand the nuances of internal platforms: designing for adoption, not mandate; plugging into existing workflows before standing up new ones; and earning trust through data before expanding scope. You have exceptional judgment on when to build custom solutions versus integrate existing tools, and you're comfortable navigating a rapidly evolving landscape across both AI and developer infrastructure. You balance technical excellence with pragmatism, shipping iteratively while maintaining high quality bars. Most importantly, you lead through influence and mentorship, elevating the entire engineering organization's technical capabilities. _______________________________________________________________________ RESPONSIBILITIES Technical Leadership & Architecture - Define the long-term technical vision and architecture for Docker's developer tooling platform spanning platform engineering, CI/CD, and AI-powered tools - Lead authoring of SDLC tenets in partnership with other principal engineers, Security, and Infrastructure and build the mechanisms those tenets bind to (design gates, code review gates, pipeline standards, visibility) - Establish architectural patterns, technical standards, and best practices across the developer tooling stack - Design highly available, scalable infrastructure for hosting developer tools, agents, and platform services - Drive technical decisions on tooling choices, provider strategies, build/deploy substrate, and agent orchestration frameworks - Partner with Senior Manager and product leadership to align technical architecture with business objectives and productization opportunities Systems Design & Implementation - Architect and build Docker's internal developer platform, the self-service substrate enabling teams to scaffold, deploy, and operate services with minimal friction - Design and implement CI/CD and build infrastructure that supports Docker's SDLC tenets and GitOps deployment patterns - Establish reliability, security, and performance standards across developer tooling including SLOs, monitoring, incident response, and cost management - Design integration points between developer tools and existing infrastructure (CI/CD pipelines, observability platforms, deployment systems) Strategic Impact & Innovation - Evaluate emerging technologies across developer tooling, platform engineering, AI/LLM, and agent frameworks to inform Docker's technical strategy - Define and enforce the golden path, the concrete, left-to-right walkthrough of how Docker builds software, and identify where tooling closes gaps vs. where human process does - Drive technical standards for measuring developer tool effectiveness: adoption metrics, productivity gains, pipeline performance, and developer satisfaction - Lead cross-functional technical discussions influencing company-wide developer tooling architecture - Define technical approach for productizing successful internal developer tools into customer-facing offerings Leadership & Mentorship - Mentor senior and staff engineers on platform engineering, CI/CD patterns, design, and AI/LLM integration - Lead design reviews and technical decision-making across all developer tooling work - Foster culture of technical excellence, experimentation, and rapid prototyping within the Developer Tools team - Serve as primary technical contact and thought leader for developer tooling across Docker's engineering organization - Collaborate with platform teams (Infrastructure, Security, Agentic Platform, Supply Chain Security) to establish shared technical standards and integration patterns - This role may require participation in an on-call rotation to provide support outside of standard business hours, including evenings, weekends, and holidays, as needed. _______________________________________________________________________ QUALIFICATIONS REQUIRED - 10+ years software engineering experience with 3+ years in Staff or Principal Engineer roles - Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience. - Proven track record architecting and operating developer-facing platforms, internal tools, or developer productivity systems at scale - Deep expertise in CI/CD systems, build infrastructure, and GitOps deployment patterns - Production experience with cloud-native infrastructure including Kubernetes, observability systems (Prometheus, Grafana, Loki), and deployment tooling - Experience designing self-service platforms, developer portals, or golden path tooling that enable other teams to move faster - Working knowledge of AI/ML technologies and hands-on experience with LLM APIs or AI agent development - Proficiency in Go (preferred), Rust, Java, or Python with strong software engineering fundamentals - Exceptional product and platform mindset considering developer experience, business outcomes, and technical/security trade-offs - Strong communication skills with ability to influence technical and non-technical stakeholders - Track record of technical mentorship and elevating engineering teams' capabilities - Ownership mentality with bias for action and iterative delivery in ambiguous, fast-moving environments - Comfortable with autonomous work in distributed, remote-first teams across multiple time zones PREFERRED - Experience with MCP (Model Context Protocol) or similar AI agent integration standards - Background in DevOps, SRE, or platform engineering domains - Contributions to open source developer tooling, platform engineering, or observability projects - Experience productizing internal platforms into commercial offerings - Deep knowledge of security, compliance, and operational best practices for production systems - Experience with infrastructure-as-code frameworks (Terraform, Pulumi) and multi-cloud platforms (AWS, GCP, Azure) - Track record driving org-wide adoption of developer tooling and engineering standards _______________________________________________________________________ WHAT TO EXPECT FIRST 30 DAYS - Understand Docker's current developer tooling landscape: AI tools, CI/CD state, platform engineering gaps, and the foundational SDLC gap - Meet with engineering leadership, principal engineers, and key technical stakeholders across product engineering, Security, Infrastructure, and Agentic Platform - Conduct deep technical assessment of current developer tooling infrastructure to identify opportunities and constraints across all four pillars - Review existing tools in production and understand what's working, what isn't, and the technical lessons learned - Partner with Senior Manager to define initial technical priorities and 90-day technical roadmap across pillars FIRST 90 DAYS - Define and document technical architecture for the Developer Tools platform across: system design, technology choices, integration patterns, and operational model - Ship first production deliverable, either an extension of existing tooling or a net-new tool with architectural patterns and standards that scale to future work - Establish technical foundations for the self-service platform: deployment pipeline, security controls, and cost management - Lead or contribute to the SDLC tenets working session with principal engineers, Security, and Infrastructure - Define success metrics and instrumentation strategy for measuring developer tool adoption, effectiveness, and productivity impact - Create architectural decision records and best practices guides for teams building on the platform FIRST YEAR OUTLOOK - Establish mature technical architecture for the Developer Tools platform with multiple production tools demonstrating value - Build production-ready self-service platform enabling multiple teams to build, deploy, and operate their own tools with minimal friction - Define and implement technical standards for measuring developer productivity improvement: design quality, commit frequency, PR velocity, deployment reliability, and incident response times - Lead technical strategy for productizing successful internal tools into customer-facing offerings - Position Developer Tools as Docker's technical center of excellence for developer productivity, with regular technical talks, demos, and knowledge sharing - Define multi-year technical roadmap including advanced platform capabilities, expanded AI tooling, and emerging technology adoption Visa sponsorship: Docker considers visa sponsorship on a case-by-case basis based on business needs. _______________________________________________________________________ COMPENSATION & EQUITY All full-time roles include equity. Final compensation is determined on factors including but not limited to experience, skills, qualifications, and location. United States: $198K – $319K 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: London, England Fin , now part of Salesforce, is on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey, from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk, giving modern support teams one single system. Together with Salesforce, the #1 AI CRM, where humans with agents drive customer success, we're building the future of customer experience. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword, it's a way of life. The world of work as we know it is changing, and we're looking for Trailblazers who are passionate about bettering business and the world through AI. Ready to level up your career at the company leading workforce transformation in the agentic era? You're in the right place. Agentforce is the future of AI, and you are the future of Salesforce. What's the opportunity? Fin is transforming customer service through AI, helping businesses deliver fast, accurate, and reliable support at scale. Trust is foundational to that mission. The Cloud Security team is responsible for protecting the platforms that power Fin. We partner closely with infrastructure and product engineering teams to secure cloud environments, detect emerging threats, respond to incidents, and build the security foundations that enable teams to move quickly with confidence. The team owns critical cloud security capabilities including detection engineering, cloud security monitoring, incident response, cloud security controls, and the security tooling that protects Fin's production environments. The team is responsible for securing the cloud platforms and production systems that underpin every Fin customer interaction. The mission of the team is to help Fin build and operate trusted AI-powered customer service experiences by making security a natural part of how our cloud platforms, production systems, and engineering workflows are designed, deployed, and operated. As Fin continues to expand its capabilities and adoption, you'll help define how cloud security evolves alongside increasingly sophisticated systems and threat models. We're taking an AI-first approach to security, investing in areas such as AI-assisted detection engineering, automated investigations, continuous monitoring, and emerging defensive capabilities to help meet an evolving threat landscape. What will I be doing? Design and implement secure cloud architectures across our AWS environments. Build and maintain protective and detective controls that improve visibility into threats across our cloud environments. Develop detection engineering capabilities that identify attacker behaviour and reduce time to detection and response. Lead cloud security investigations and incident response activities in partnership with engineering teams. Participate in a shared on-call rotation and help coordinate containment, remediation, and recovery efforts during security incidents. Build automation that improves the scalability, reliability, and effectiveness of security controls. Partner with infrastructure teams to embed security into cloud platforms, infrastructure-as-code workflows, and engineering practices. Develop and improve cloud security standards, guidance, and best practices across Fin. Drive security initiatives from problem definition through design, implementation, and measurable outcomes. Assess emerging threats to cloud environments and help evolve our defensive capabilities. Help shape Fin's AI-first approach to security, including AI-assisted detection, automated investigations, continuous monitoring, and emerging defensive capabilities. Support the secure adoption of AI-assisted software development tools and engineering workflows. What skills do I need? Proven experience in cloud security, security engineering, detection engineering, or a closely related field. Strong experience securing and operating production AWS environments. Deep understanding of cloud security principles, modern attack techniques, and security best practices. Experience building or operating detection, monitoring, or threat detection capabilities. Hands-on experience investigating security incidents, leading technical investigations, and driving remediation efforts. Experience implementing security controls across cloud platforms and production environments. Strong programming skills and experience building automation, tooling, or operational workflows. Experience working with infrastructure-as-code practices and modern cloud-native technologies. Comfortable using modern AI-assisted development tools to improve productivity and engineering effectiveness. Ability to communicate security concepts clearly and collaborate effectively with engineering teams. A pragmatic approach to balancing security, customer impact, and engineering velocity. Bonus skills & attributes Experience building detection engineering, threat hunting, or security operations capabilities at scale. Experience with cloud-native security platforms, CNAPP technologies, or large-scale cloud security monitoring. Experience applying AI to detection, response, threat analysis, or security operations workflows. Familiarity with AWS networking, identity, and cloud security patterns. Experience working across both large-scale SaaS environments and high-growth companies. #LI-Hybrid Unleash Your Potential When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world. In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. At Fin, we want to give people what they need to do the best work of their careers. Our benefits and programs are designed to support your health and wellbeing, your family, your time away from work, and your financial future. Offerings vary by location in line with local practices and requirements. Learn more about working at Fin and the benefits we offer at fin.ai/careers . Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records. Policies Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week. We have a radically open and accepting culture at Fin. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our core values . Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

Location: Dublin, Ireland Fin , now part of Salesforce, is on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey, from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk, giving modern support teams one single system. Together with Salesforce, the #1 AI CRM, where humans with agents drive customer success, we're building the future of customer experience. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword, it's a way of life. The world of work as we know it is changing, and we're looking for Trailblazers who are passionate about bettering business and the world through AI. Ready to level up your career at the company leading workforce transformation in the agentic era? You're in the right place. Agentforce is the future of AI, and you are the future of Salesforce. What's the opportunity? Fin is transforming customer service through AI, helping businesses deliver fast, accurate, and reliable support at scale. Trust is foundational to that mission. The Cloud Security team is responsible for protecting the platforms that power Fin. We partner closely with infrastructure and product engineering teams to secure cloud environments, detect emerging threats, respond to incidents, and build the security foundations that enable teams to move quickly with confidence. The team owns critical cloud security capabilities including detection engineering, cloud security monitoring, incident response, cloud security controls, and the security tooling that protects Fin's production environments. The team is responsible for securing the cloud platforms and production systems that underpin every Fin customer interaction. The mission of the team is to help Fin build and operate trusted AI-powered customer service experiences by making security a natural part of how our cloud platforms, production systems, and engineering workflows are designed, deployed, and operated. As Fin continues to expand its capabilities and adoption, you'll help define how cloud security evolves alongside increasingly sophisticated systems and threat models. We're taking an AI-first approach to security, investing in areas such as AI-assisted detection engineering, automated investigations, continuous monitoring, and emerging defensive capabilities to help meet an evolving threat landscape. What will I be doing? Design and implement secure cloud architectures across our AWS environments. Build and maintain protective and detective controls that improve visibility into threats across our cloud environments. Develop detection engineering capabilities that identify attacker behaviour and reduce time to detection and response. Lead cloud security investigations and incident response activities in partnership with engineering teams. Participate in a shared on-call rotation and help coordinate containment, remediation, and recovery efforts during security incidents. Build automation that improves the scalability, reliability, and effectiveness of security controls. Partner with infrastructure teams to embed security into cloud platforms, infrastructure-as-code workflows, and engineering practices. Develop and improve cloud security standards, guidance, and best practices across Fin. Drive security initiatives from problem definition through design, implementation, and measurable outcomes. Assess emerging threats to cloud environments and help evolve our defensive capabilities. Help shape Fin's AI-first approach to security, including AI-assisted detection, automated investigations, continuous monitoring, and emerging defensive capabilities. Support the secure adoption of AI-assisted software development tools and engineering workflows. What skills do I need? Proven experience in cloud security, security engineering, detection engineering, or a closely related field. Strong experience securing and operating production AWS environments. Deep understanding of cloud security principles, modern attack techniques, and security best practices. Experience building or operating detection, monitoring, or threat detection capabilities. Hands-on experience investigating security incidents, leading technical investigations, and driving remediation efforts. Experience implementing security controls across cloud platforms and production environments. Strong programming skills and experience building automation, tooling, or operational workflows. Experience working with infrastructure-as-code practices and modern cloud-native technologies. Comfortable using modern AI-assisted development tools to improve productivity and engineering effectiveness. Ability to communicate security concepts clearly and collaborate effectively with engineering teams. A pragmatic approach to balancing security, customer impact, and engineering velocity. Bonus skills & attributes Experience building detection engineering, threat hunting, or security operations capabilities at scale. Experience with cloud-native security platforms, CNAPP technologies, or large-scale cloud security monitoring. Experience applying AI to detection, response, threat analysis, or security operations workflows. Familiarity with AWS networking, identity, and cloud security patterns. Experience working across both large-scale SaaS environments and high-growth companies. #LI-Hybrid Unleash Your Potential When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world. In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. At Fin, we want to give people what they need to do the best work of their careers. Our benefits and programs are designed to support your health and wellbeing, your family, your time away from work, and your financial future. Offerings vary by location in line with local practices and requirements. Learn more about working at Fin and the benefits we offer at fin.ai/careers . Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records. Policies Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week. We have a radically open and accepting culture at Fin. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our core values . Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

Location: Berlin Office; Iasi Office; London Office; Dublin Workplace: Hybrid Taktile empowers financial institutions to transform into truly AI-native organizations. We’re growing rapidly with enterprise customers across banks and insurance companies, and we’re looking for a Senior Full-Stack Engineer to join our Platform team. About the role Our Engineering and Product Design teams are building multiple verticals on our platform at high speed, leveraging AI and building agentic functionality into the platform itself. As we scale into the world's largest regulated financial institutions, identity and access management (IAM), authorization, and fine-grained permissions have become foundational to our enterprise readiness. We are hiring a Full-Stack Engineer to join the team building Taktile's IAM and permissions platform: the authorization backbone that powers enterprise-grade access control across our product. Joining us, you'll design and build permission models and access controls end-to-end, from the React/TypeScript access-management and admin UIs down to the Python (FastAPI) authorization services. You'll take on the problems that make enterprise authorization genuinely hard: multi-tenant isolation, fine-grained permission checks in the hot path of millions of decisions a day, audit and access trails, and the constraints of regulated financial services. What You'll Do - Design, build, and operate core authorization primitives such as roles, policies, and fine-grained permission checks (RBAC/ReBAC), along with the authentication and SSO/OAuth/OIDC flows that sit on top of them. - Guarantee strict multi-tenant isolation so every customer's data and decisions stay fully segregated. - Keep fine-grained permission checks fast in the hot path of millions of automated decisions per day, where both latency and correctness are non-negotiable. - Build audit and access-trail capabilities that give customers and auditors a verifiable record of who accessed what, when, and why. - Design for regulated-industry constraints (financial services, SOC 2 / ISO 27001, data residency), where access control is a compliance requirement, not just a feature. - Leverage leading edge AI tools (e.g. Claude) on a daily basis to build industry-shaping AI-native capabilities. Requirement: - 5+ years of professional full-stack experience building backend services in Python (FastAPI or equivalent), including REST APIs and databases - Strong proficiency with React and TypeScript. - Experience building access control systems, with exposure to authentication and authorization concepts (RBAC, SSO, OAuth/OIDC, multi-tenant permissions). - Strong engineering fundamentals with a passion for simplicity and precision. - Experience integrating into AWS or similar cloud providers. - Fluency in English, both written and spoken, is essential as we operate in a remote environment requiring clear and effective communication. Nice, but not required - Deeper backend specialization (async patterns, performance tuning, data modeling). - DynamoDB or Postgres, SQLAlchemy. - Hands-on experience designing authorization systems at scale: fine-grained / ReBAC models, policy engines (OpenFGA or Zanzibar-style systems, OPA), or multi-tenant RBAC for enterprise SaaS. - Prior ops or on-call experience. Our Offer - Work with colleagues that lift you up, challenge you, celebrate you and help you grow. We come from many different backgrounds, but what we have in common is the desire to operate at the very top of our fields. If you are similarly capable, caring, and driven, you'll find yourself at home here. - Experience a truly flat hierarchy and communicate directly with founding team members. Having an opinion and voicing your ideas is not only welcome but encouraged, especially when they challenge the status quo. - Learn from experienced mentors and achieve tremendous personal and professional growth. Get to know and leverage our network of leading tech investors and advisors around the globe. - Receive a top-of-market equity and cash compensation package. - Get access to a self-development budget you can use to e.g. attend conferences, buy books or take classes. - Receive a new Apple MacBook Pro, as well as meaningful home office set-up. About Us Taktile enables financial institutions to transform into AI-native organizations that are increasingly powered by autonomous agents. With our modular Agentic Decision Platform, customers combine AI agents, rules, relevant context, and human oversight to safely automate and optimize their decisions—approving more customers, reimbursing claims instantly, stopping fraud before it spreads, and financing every business worth funding. Founded in 2020, Taktile powers millions of decisions daily for institutions including Mercury, Monzo, Faire, and Pleo. With offices in New York, Berlin, London, São Paulo, and Iași, the company has raised $184M from Growth Equity at Goldman Sachs Alternatives, Index Ventures, Tiger Global, Balderton Capital, and Y Combinator. Learn more at taktile.com http://taktile.com   About Your Employment. Taktile operates through regional entities worldwide. Depending on the location of this role, your employment or engagement will be with Taktile LLC (US), Taktile GmbH (Germany), Taktile Ltd (UK), or Taktile SRL (Romania). The applicable entity will be confirmed during the offer process. Your Privacy. Taktile (“we” or “us”) is the controller of the personal data you provide during this application process. We collect and process your name, contact details, resume/CV, work history, education, and any other information you submit or that we obtain from publicly available sources or references. How we use your data: We process your personal data to evaluate your candidacy, communicate with you about the recruitment process, comply with legal obligations (such as right-to-work verification), and, with your consent, to consider you for future opportunities. Legal basis (EU/UK applicants): We rely on (i) pre-contractual steps at your request (GDPR/UK GDPR Art.6(1)(b)), (ii) legal obligations (Art. 6(1)(c)), and (iii) our legitimate interest in evaluating candidates (Art.6(1)(f)). Retention: If your application is unsuccessful, we retain your data for 12 months after the recruitment process concludes, unless you consent to longer retention. Successful candidates’ data becomes part of their employment records. Your rights: Depending on your location, you may have the right to access, correct, delete, or restrict the processing of your personal data, to data portability, and to withdraw consent. Automated decision-making: We use automated tools to assist in screening applications. No hiring decision is made solely by automated means without human review. International transfers: Your data may be transferred to and processed in the United States, Germany, the United Kingdom, or Romania. Where required, transfers are protected by Standard Contractual Clauses or other approved mechanisms. By submitting your application, you acknowledge that you have read and understood Taktile’s Applicant Privacy Policy. To exercise your rights or ask questions, contact privacy@taktile.com

Location: Seattle, WA; San Francisco Bay Area 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 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. As a Staff Software Engineer on the Cloud Sandboxes team, you’ll design and build the core systems that power Docker’s cloud agentic platform. Your work will focus on creating scalable, reliable, and secure infrastructure that enables developers to deploy and manage agentic workloads efficiently and with confidence. If you thrive on solving distributed systems challenges, enjoy working at the intersection of developer experience and cloud infrastructure, and want to help shape the future of Docker’s platform, we’d love to hear from you. _______________________________________________________________________ RESPONSIBILITIES - Design, implement, and operate core services that power Docker’s Cloud Sandboxes platform - Build scalable systems for microVM orchestration, workload scheduling, and lifecycle management - Develop high-performance APIs and control plane components for managing multi-tenant workloads - Ensure system reliability, observability, and performance across Docker’s Cloud Sandbox infrastructure - Collaborate with product, platform, and security teams to deliver customer-focused capabilities - Participate in architectural discussions, code reviews, and design documents - Contribute to automation and CI/CD improvements across the deployment pipeline - Debug and resolve production issues across distributed systems in cloud environments - Take part in on-call rotation for your team; respond to incidents, debug production issues, and drive continuous improvement of system reliability _______________________________________________________________________ QUALIFICATIONS REQUIRED - 10+ years of backend software engineering experience building large-scale cloud or distributed systems - Strong proficiency in Go and/or Java - Deep understanding of container orchestration, Kubernetes, and microservices architecture - Experience designing and operating highly available, secure, and observable production systems - Strong understanding of cloud infrastructure (AWS, Azure, or GCP) and related scalability patterns - Familiarity with CI/CD pipelines, monitoring, and infrastructure-as-code tooling - Excellent problem-solving and debugging skills in distributed environments - Strong communication skills and ability to collaborate across remote, cross-functional teams - Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience. PREFERRED - Experience contributing to cloud-scale compute platforms or container infrastructure products - Knowledge of service mesh, networking, or policy enforcement systems - Experience with observability stacks (Prometheus, OpenTelemetry, Grafana, etc.) - Familiarity with security best practices for multi-tenant cloud systems - Prior experience in developer infrastructure, cloud platforms, or hyperscale environments Visa sponsorship: Docker considers visa sponsorship on a case-by-case basis based on business needs. _______________________________________________________________________ COMPENSATION & EQUITY All full-time roles include equity. Final compensation is determined on factors including but not limited to experience, skills, qualifications, and location. United States: $170,350 – $275,550 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: European Union Company Intro At Toloka AI we create data that powers leading GenAI models and innovations. We work with frontier labs, big tech, renowned AI startups, enterprises and non-profit research organizations worldwide. We use a combination of Experts + Crowd + Tech Platform to teach AI models to reason and evaluate their efficacy and safety. We have experts in more than 50 different domains—from doctors and lawyers to physicists and engineers—and boast one of the most diverse global crowds, representing over 100 countries and speaking 40+ languages . We are a well-funded startup with an enviable portfolio of clients including Anthropic , Amazon , Microsoft , Poolside , Recraft ,  and Shopify . Recently, we secured strategic investment led by Bezos Expeditions and Nebius Group with participation from Mikhail Parakhin , CTO of Shopify and board advisor to leading GenAI companies, who now serves as our Chairman of the Board. Our remote-first team is globally distributed around the world: USA , UK , the Netherlands , Serbia , and more. About position The Forward Deployed AI Engineer Engineer is Toloka's most senior client-facing technical role. You will partner directly with CTOs, VPs of Engineering and ML, research leaders, and applied AI teams, helping them solve complex AI data challenges and translate ambitious model goals into practical, scalable solutions. This is a hands-on role . You will design and build the data-generation , labeling , and evaluation pipelines t hat power the next generation of AI models . Rather than training the models yourself, you'll help clients identify the right data strategy and own the solution from problem discovery through implementation and delivery. Beyond delivering client solutions, you'll help shape how Toloka approaches AI solution engineering - establishing best practices, raising the technical bar across engagements, and mentoring Solution Engineers and Technical Consultants . Why this role is different Every engagement is different. One week you might be designing evaluation pipelines for frontier foundation models, the next helping an enterprise build domain-specific reasoning datasets or synthetic data workflows. This role sits at the intersection of consulting, engineering, and AI. You'll work directly with some of the world's leading AI companies, helping shape how next-generation models are trained and evaluated. What you'll do Executive partnership Act as the primary technical counterpart to CTOs, VPs of Engineering, and research/engineering leadership. Lead executive conversations using a structured, answer-first (BLUF) approach. Manage escalations and expectations with composure and integrity. Build long-term trusted relationships by recommending evidence-based solutions. Data strategy & needs diagnosis Ask excellent questions to uncover the client's real need - the "question behind the question." Understand their model, which metrics they want to move, and how they intend to train or evaluate it. Draw on a solid understanding of how LLMs are trained and fine-tuned to have credible conversations with their technical leaders, understand their data strategy, and proactively propose the data that will solve their problem - with options and rationale ("based on your goal, you likely need this, or this"). Solution engineering & delivery (hands-on) Design and build the data solutions yourself: configure data-labeling components and quality controls, develop user interfaces and AI-driven solutions (e.g. agentic systems, RAG, synthetic data generation), and integrate them into automated, multi-stage pipelines that produce data for AI training and evaluation. Architect and reason about complex, multi-stage solutions end to end; run experiments to prove the pipeline delivers data of the required quality and speed; iterate from MVP toward production. Provide technical leadership across multiple client engagements, establish reusable engineering standards and best practices, and mentor Solution Engineers and Technical Consultants to raise the overall technical bar of the organization. Commercial ownership Own delivery end to end - timelines, quality, and scalability - and the commercial outcome : Gross Margin and Contribution Margin, with the levers, trade-offs, and next checkpoints named, not just described. Identify and drive expansion opportunities. About You No one is expected to meet every requirement below. If you bring a strong combination of client-facing communication, AI/LLM expertise, and hands-on engineering experience, we'd love to hear from you. Executive communication. You can confidently lead conversations with CTOs, VPs, and senior technical stakeholders - clear, concise, structured, persuasive, and calm under pressure. Professional English (C1+) is essential. Strong understanding of modern LLM development. You understand how modern LLMs are trained, fine-tuned, and evaluated (including SFT, RLHF/RLAIF, DPO/PPO, reward modeling, and LoRA/PEFT). You're comfortable discussing these topics with senior technical stakeholders and translating their goals into effective AI data solutions. Hands-on solution engineering. You've designed complex AI solutions, built multi-stage pipelines, and developed AI-driven systems (e.g. agentic workflows, RAG, or synthetic data generation). You're comfortable working in Python (NumPy, Pandas), integrating APIs, and independently prototyping LLM-powered solutions. Solid software engineering foundations. You understand version control, testing, MVP thinking, and iterative development. Experience building production software is a strong plus. Exceptional discovery and problem framing. You enjoy working through ambiguity, asking the right questions, and translating business or research goals into clear AI data and evaluation strategies. Seniority and track record. 8+ years delivering complex AI, ML, or data projects end to end, with experience influencing technical direction beyond individual projects. Experience establishing engineering standards, mentoring engineers, or leading cross-functional technical initiatives is highly valued. Experience in top-tier strategy consulting (McKinsey, Bain, BCG) and/or as an applied ML / LLM engineer is a strong advantage. Ownership mindset. You take responsibility for outcomes, make thoughtful trade-offs between time, cost, and quality, and are comfortable owning both technical and commercial success. Nice to have Hands-on experience training or fine-tuning LLMs and/or building agentic systems (helps you reason about client needs - though the role itself is about building data solutions, not training models). Advanced degree (MSc/PhD) in AI, CS, or a related field. Experience in crowdsourcing and/or data-centric AI, and with fast-paced, multi-project delivery for frontier AI clients. What we can offer Freelance (B2B) collaboration , with a path into a project team if things go well; Flexible, fully remote schedule ( 40 hours per week ); Work at the leading edge of AI development, alongside a dedicated and dynamic team of experts; Projects with customers that are AI industry leaders and well-known household names; Friendly community. [Important Notice] Scam Alert Regarding Fake Job Postings It has come to our attention that an individual or group is fraudulently impersonating Toloka to post fake jobs and solicit personal information from applicants.Please be aware: Official Communication: Our recruiting team will only contact you from an official " toloka.ai " email address. We will NEVER use Gmail, Yahoo, Tolokainc, toloka.inc,  or other personal or seemingly business email accounts. Our Process: We will never ask for your bank account details, credit card number, or any fees as part of the application or interview process. Official Listings: All legitimate job openings are posted on our official careers page: https://toloka.ai/careers#job-list To learn how we collect, use, disclose, and store personal data, check out our Privacy Notice . What to do: If you see a suspicious job posting or have been contacted by someone you suspect is a scammer, please do not provide any personal information. Instead, report the incident to us directly at security@toloka.ai and report the profile/post to LinkedIn.We are taking this matter very seriously and are working with the appropriate parties to resolve it. Thank you for your vigilance! To learn how we collect, use, disclose, and store personal data, check out our Privacy Notice .

Location: Berlin, Remote Workplace: remote Our Solution Expert team plays a key role in supporting strategic customers in RUN phase, by acting as trusted advisors on complex use cases. Working closely with Sales, Product, and Customer Success, they analyze advanced client needs, challenge existing setups, and translate requirements into scalable solutions within the 360Learning platform.   You will manage a portfolio of customers throughout their lifecycle to drive product adoption and deliver tailored solutions beyond standard product capabilities.   These large and strategic accounts have already deployed the platform and have a strong level of autonomy. They rely on your technical and functional expertise to lead complex integrations (APIs, flat files, third-party tools), redesign platform architecture, run solution audits, and provide high-level recommendations to maximize business impact and long-term value. Within 1 month, you will: Become a Trello expert through our onboarding process Understand our product offering through training Master our platform and be able to support clients on basics requests through ticketing Within 3 months, you will: Own your portfolio of 10 enterprise clients & leading up to 30 active projects simultaneously Start to answer questions coming from your portfolio of clients Support the Customer Success partner on functional and technical questions Successfully implement integration (SSO, third-party tools), deliver technical expertise on how to integrate their learning platform to their technical environment & troubleshooting Within 6 months, you will: Be able to pitch the value of the 360Learning platform Develop repeatable and scalable processes to improve project quality and delivery Support Strategic customers all along their contract from an expertise standpoint Deliver Professional Services to our existing customers base Within 12 months, you will: Onboard another Solution Expert Contribute to our knowledge base to share best practices and lessons learned Work with our partner ecosystem to strengthen the services proposed to our clients Deliver platform audits to clients Deliver professional services proposed in our Professional Service catalogue The Skill Set 3 years of professional consulting experience, preferably in a customer facing role (Level 2 or 3 support agents, Technical consultant, Technical Account Manager) Previous deployment experience of SaaS products, ideally HR related Project management skills Good understanding and experience working with APIs, SSO configuration & troubleshooting Solution-oriented, client-first mindset in everything you do Ability to adapt to your audience, flexibility in tackling a conversation with highly technical stakeholders, and reducing complexity to more common terms with less technical stakeholders Organized, structured, rational, analytical, able to manage priorities across multiple customer implementations Full professional proficiency in French, English, and German Enthusiasm for our working environment explained here: https://bit.ly/Convexity360L What We Offer Compensation: Package includes base salary, a variable component and equity 📈 Benefits: Work From Home perks, 1 month parental leave for the second parent. Balance: Flexible hours, Total work from home possible anywhere in Germany 🏠 Diversity, Equity, and Inclusion : We have 6 active ERGs including Mental Health, Environmental/Sustainability, Women, Parents, LGBTQIA2S+, and Ethnic Diversity. Each group has at least one executive team member serving as a member of the group, bringing greater awareness to each group’s activities and providing a quick path to impact 🤝 Corporate Social Responsibility : Review our CSR Charter: 360learning.com/blog/corporate-social-responsibility-charter 🌎🌏🌍 Culture: A framework that will help you make an impact - envision our way of working and our Convexity Culture: https://bit.ly/Convexity360L & find out more about the teams, product and processes https://bit.ly/42H1ggC 🚀👩🏻‍💻🏆 The Interview Process Phone Screen with our Talent Acquisition Manager Discovery Meeting with a Solution Expert Case Study Meeting with 2 Solution Expert Coach and a Solution Expert Clarification Meeting with our Head of Professional Services Culture Fit Meeting with our Chief Human Resources Officer Offer ! ⇾ Get ready using our Knowledge Base: https://bit.ly/42H1ggC Who We Are 360Learning enables companies to upskill from within by turning their experts into champions for employee, customer, and partner growth. With our LMS for collaborative learning, Learning & Development teams can accelerate upskilling with the help of internal experts instead of slow top-down training. 360Learning is the easiest way to onboard and upskill employees, train customer-facing teams, and enable customers and partners–all from one place. 360Learning powers the future of work at 1,700 organizations. Founded in 2013, 360Learning has raised $240 million with 400+ team members across North America and EMEA. Learning Includes Everyone. In concert with our culture, 360Learning believes learning includes everyone and that means embracing the strengths of diversity, connectedness, and inclusion. Through conscientious efforts, our global footprint celebrates cultures, perspectives, and experiences from all over the world to support our platform that is built for all regardless of race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. Thus, 360Learning is proud to be an equal opportunity workplace, and we commit to continue this throughout our processes for recruitment, compensation, benefits, performance, promotion, and all other conditions and terms of employment. We want to learn from and with you!

Location: Anywhere in France Workplace: Hybrid HEALTH CAN’T WAIT. Not for symptoms to get worse. Not for a six‑month appointment. Not for a system to catch up. But that’s exactly how healthcare works today. You wait, until you can’t. Alan exists to end the wait. Health is a universal right, and we believe this right can only become real when it’s coupled with prevention. We need to stop treating health as something we repair and start treating it as something we build, every day. It’s not solely a question of willpower. It’s the healthcare system itself that needs to work for everyone, in a sustainable way. So we are building the new standard in prevention insurance. Alan is the first company that integrates insurance, prevention, and care into a single, acclaimed user experience. We are on an incredible journey to build a global leading company, with a unique culture https://alan.com/en/careers. We already partner with 40K+ companies of all sizes, serving more than 1M+ members, and have reached €800M+ in ARR. Prevention as the new norm. That's what we're building with our team of 1000+ people. If it speaks to you: we're hiring across France, Spain, Belgium, and Canada. And beyond. ⭐️ THE ROLE: PRODUCT LEAD, GROWTH ⭐️ We are looking for a proven product leader to lead the next phase of Alan’s growth. Our self-serve business now brings in €1M of incremental ARR every week. We got there with a funnel that was ahead of the market for years, built for health insurance, one country and one way of buying. That playbook will not get us to the next 10x. Alan is moving to many products, many countries and new segments, and prospects are starting to buy through AI assistants. We need someone who has scaled growth before to write the next playbook and lead the product team that delivers it. About the Growth area The Growth area owns Alan’s self-serve business: every member and company that signs up without a sales account executive. - It covers individuals (freelancers, retirees, etc) and small companies. - It covers everything that happens before someone becomes a member: how prospects find Alan, how they decide we are right for them, and how they start. - On the go-to-market side, segment leaders own offer, pricing and channels for their segments, and marketing teams run paid, SEO / GEO, partnerships, brand and more. - On the product side, product crews build. Conversion owns the flows and referral surfaces that turn prospects into members. Growth Infrastructure owns the website, marketing measurement and marketing ops. As Product Lead for Growth, you will lead the product side of the area and partner with our business and marketing leaders to accelerate growth. A subset of hard questions to answer: - One funnel to many: how do we make launching a new funnel for a new product, country or partner as easy as writing a prompt? How do we empower business owners to iterate on the conversion flows? - Experience before signing: how does a prospect get to try Mo, the Clinic and the Shop before signing, without slowing down their decision? - The comparison moment: how do we become the place people compare insurance on fit and value, when comparison sites rank only on price? - Buying through AI: when the journey starts in ChatGPT, how do we become the answer it cites, and the product people can buy right there? - Channel leverage: how do we use technology to make each acquisition channel faster, cheaper and smarter, and how do we decide spend on incrementality? - Cross-sell at acquisition: how do we sell more than one product from the first signature? We have strong convictions on some of these and open questions on others. We expect you to bring your own view and to change ours. What you will do: - Set the vision. You will own the multi-year growth product vision, turn it into a small number of big bets, and align the roadmaps behind them. You will also decide what we stop doing, so that we both invest in incremental optimization and big bets. - Build an experimentation engine that compounds. We have a baseline of A/B testing and a shared bar for what counts as a win. You will take it to the level covering velocity, rigor, incrementality and learning loops. - Make Growth AI-native. You will lead conversational AI in our sales flows, AI-native acquisition surfaces and Alan’s presence in LLM ecosystems. You will also build the AI tooling our marketing teams need to scale their output (content, landing pages, campaigns, lead qualification) without scaling headcount at the same rate. - Lead and grow the team. You will manage the PMs in the area and help lead Design, Engineering and Data in the area. - Go deep yourself. At Alan, everyone is also an individual contributor, and AI makes that more true every month. We expect you to personally drive selected initiatives to kickstart or unblock them. - Partner with business leaders. You will work with segment leaders and marketing as a peer, and you will own growth outcomes jointly with them.   ⭐️ ABOUT YOU ⭐️ - You have 6+ years of experience leading product teams, with a track record of moving the numbers at scale. You have led growth for a product with significant self-serve or B2C acquisition, and you can point to the curves you bent. - You have led growth teams. You have managed PMs directly and you have handled hiring, coaching, hard feedback and performance calls. - You set the vision. You have a track record of setting the direction and balancing optimizations and big bets. You have brought business, marketing and engineering leaders along with you. - You coach. People you hired and coached have grown into strong PMs and leaders, and you raise the craft bar of the people around you. - You deep dive. You open the funnel analysis yourself, challenge an experiment read, question attribution and spot a vanity win before anyone else. - You are data-driven. Experimentation, incrementality and attribution are your native language, and you can push a data team to a high standard. - You have worked across a portfolio of products and countries, ideally by building shared platforms rather than one-off flows. This is a strong plus. - You have an opinionated view of where AI is taking acquisition and buying journeys (LLM discovery, conversational selling, agentic commerce), and you have turned that kind of view into shipped product. - You talk to prospects and members often, you enjoy it, and what you hear changes your mind. - You care about healthcare. Alan’s mission has to matter to you, and for us this is essential. - You are fluent in English. French is a nice-to-have. For this opportunity, we are aiming to hire within the F or higher level range https://alan.com/en/careers/a/salary-equity. 🌍 HOW WE WORK Location: You must be legally eligible to work from France. Remote work: We offer remote work flexibility, but we value in-person collaboration 🎯 IMPORTANT NOTE: WE HIRE PEOPLE, NOT ROLES. If you're excited about this opportunity but don't check every box, we'd love to hear from you. Everyone, no matter how underrepresented, should feel free to apply, as it can only bring learnings or success. If you identify yourself as a woman: Did you know that research shows women often apply only when meeting 100% of requirements? Remember, this is just a guide, not a checklist. We'll be thrilled to receive your application! 🔖 Check out our About Alan https://alan.com/about and Career https://alan.com/careers pages, as well as our Medium https://medium.com/alan, blog https://blog.alan.com/ and Glassdoor page https://www.glassdoor.com/Overview/Working-at-Alan-EI_IE1696043.11,15.htm for more info. YOU WANT TO KNOW MORE ABOUT ALAN? 🙌 Perks & Benefits https://alan.com/en/careers/a/salary-equity: Alaners are provided with a stimulating environment and perks ensuring they are happy, efficient and spend only high-quality time with co-workers. 🤘A strong culture https://alan.com/en/about/a/leadership-principles: People joining Alan are often surprised and delighted by our innovative working method. We have a set of cultural values that guide our approach to work

Location: Hybrid - San Francisco, New York City About Vercel: Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience. Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide. About the role We are looking for a Product Security Engineer to build the systems that triage and validate bug bounty and other externally reported security findings, not to work the queue. This role suits a software engineer moving into security or a security engineer with a strong engineering background. You will build large language model (LLM) and agent-based tooling that validates findings, traces them to their root cause, and opens fixes for well-understood vulnerability classes. This is a hybrid role based in San Francisco or New York City, with three days a week in the office. What you’ll do Build the systems that take in externally reported vulnerabilities and assess validity, severity, and reproducibility at a volume manual triage cannot match Build LLM and agent-based analysis that validates business logic, authentication, and design-level findings, not just known signatures Build systems that trace validated findings to their root cause and propose, and increasingly open, fixes for well-understood vulnerability classes, with human review gates Own the bug bounty program, including scope, policy, and researcher engagement, and feed every resolved report back into automated triage Extend the tooling into security testing capabilities that customers can use on what they build and deploy What you need 5+ years of software engineering or security engineering experience, building and shipping production systems or internal tools Wrote production code in JavaScript/TypeScript on Node.js, with hands-on experience in web frameworks such as Next.js or React Built with LLM or agent-based tooling Reproduced and assessed externally reported vulnerabilities, including judging severity Bonus if you Built security automation used across an engineering org, not just for your own team Built systems that auto-generate or propose code fixes, not just findings Tested or secured multi-tenant platforms where customer-built applications run on shared infrastructure Compensation & Benefits: Competitive compensation package, including equity. Inclusive Healthcare Package. Learn and Grow - we provide mentorship and send you to events that help you build your network and skills. Flexible Time Off. We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed. The San Francisco, CA base pay range for this role is $208,000.00 - $312,000.00. Actual salary will be based on job-related skills, experience, and location. Compensation outside of San Francisco may be adjusted based on employee location. The total compensation package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program depending on the role. Your recruiter can share more details during the hiring process. Disclosures: Privacy: Please review our Job Applicant Privacy Policy for more information on how we handle your data. Equal Opportunity: Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.

Location: Remote - United States About Vercel: Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience. Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide. About the role We're looking for a Security Engineer to join our Cloud Security Engineering team. In this role, you'll help strengthen the security of our platform by building and improving the controls that protect our infrastructure. You'll play a key role in making security a core part of how we build, deploy, and scale our systems, while helping the company grow securely and confidently. You'll report to the Security Operations Manager, and this is a hybrid or fully remote within the United States. If you're based within commuting distance of our SF or NY offices, the role includes in-office anchor days on Monday, Tuesday, and Friday. What you'll do Design and implement scalable security controls across our cloud-native platform. Harden infrastructure components using infrastructure-as-code, policy enforcement, and service isolation. Build secure by default infrastructure and code CI/CD pipelines. Collaborate with platform and infrastructure teams to integrate security best practices into architecture and workflows. Stay ahead of cloud security trends and adopt cutting-edge technologies to enhance platform resilience. Conduct threat modeling, risk analysis, and mitigation planning for critical systems. Drive improvements in monitoring, detection, and incident response at the platform level. Build, deploy and maintain relevant tooling. What you need 8+ years of experience in infrastructure or platform security roles. Deep understanding of secure cloud infrastructure (AWS/GCP), identity and access management, and system hardening. Proficient with tools like Terraform, CDK, Kubernetes, and CI/CD security. Skilled at balancing engineering realities with principled security practices. Proven track record of shipping secure, resilient systems at scale. Bonus if you Have built or scaled security automation pipelines. Contributed to open-source security projects or tools. Hold certifications such as GCP Security Engineer, AWS certifications, CISSP, or OSCP. Hold a bachelor's or master's degree in Cybersecurity or similar disciplines. Benefits & Compensation: Competitive compensation package, including equity. Inclusive Healthcare Package. Learn and Grow - we provide mentorship and send you to events that help you build your network and skills. Flexible Time Off. We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed. The San Francisco, CA base pay range for this role is $208,000.00 - $312,000.00. This salary range is an estimate. Actual salary will be based on job related skills, experience and location. Pay ranges outside San Francisco may be adjusted based on employee location. The total compensation package also includes benefits and equity-based compensation. Your recruiter can share more about the specific pay range for your location during the hiring process. Disclosures: Privacy: Please review our Job Applicant Privacy Policy for more information on how we handle your data. Equal Opportunity: Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.

Location: New York 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. ROLE OVERVIEW Legal professionals spend most of their day in Microsoft Word: drafting, reviewing, and refining complex documents that shape meaningful outcomes. Harvey in Word brings AI-powered capabilities directly into Word, enabling lawyers to draft faster, run playbook reviews, and perform agentic editing, all without leaving their workflow. It's one of our most strategic product lines and a key part of how we meet lawyers where they already work. As a Staff Software Engineer on the Embedded Experiences team, you will own and lead the development of Harvey in Word, our Microsoft Office Add-in built on OfficeJS, alongside our other Microsoft Office integrations. You'll architect and ship features that integrate seamlessly with Word, handling the unique challenges of building performant, polished experiences within the Office Add-in environment. We're looking for someone with deep expertise in OfficeJS and Office Add-in development, ideally from building a similar product at scale. You'll join a team of highly motivated, skilled engineers who hold everything they touch to the highest standards, from architecture to code to user experience. You may also contribute to our Outlook integration and help build the next generation of agentic AI interfaces across the Microsoft suite. This role is based in New York, NY. We use a hybrid in-person work model and offer relocation assistance to new employees. WHAT YOU'LL DO - Own and lead the technical direction of Harvey in Word, our flagship Office Add-in product, alongside our other Microsoft Office integrations. - Build the AI-native editing experience: agentic document rewrites, real-time redlining, and playbook automation that transforms how lawyers work - Design and build sophisticated integrations with Microsoft Word using the OfficeJS API, including document manipulation, playbook reviews, and AI-assisted drafting - Architect scalable, maintainable solutions that handle the constraints and quirks of the Office Add-in environment across platforms (Windows, Mac, Web) - Build polished, high-performance interfaces with crisp interactions and resilient error handling - Collaborate with product, design, and backend teams to shape APIs and UX for AI-powered features like streaming results and tool-calling workflows - Navigate Office Add-in requirement sets, versioning, and cross-platform compatibility to ensure broad, reliable support - Contribute to Harvey in Outlook and shape the next generation of agentic AI interfaces across the Microsoft suite - Mentor engineers, drive technical decisions, and raise the bar on quality and developer experience WHAT YOU HAVE - 10+ years of software engineering experience, with significant depth in Office Add-in development using OfficeJS - Experience building and shipping a production Office Add-in product, ideally one used at enterprise scale - Strong proficiency in JavaScript/TypeScript, HTML, and CSS - Deep understanding of Office Add-in architecture, requirement sets, manifest configuration, and cross-platform considerations - Experience with React or similar modern frontend frameworks - Track record of shipping highly intuitive products with strong attention to detail - Familiarity with Microsoft Office Add-in guidelines and AppSource submission process is a plus NICE TO HAVE - Experience with Outlook Add-ins or other Microsoft 365 integrations (SharePoint, Teams) - Background in legal tech or enterprise SaaS - Experience building products that integrate with AI/LLM capabilities COMPENSATION RANGE $231,000 - $340,000 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-PF1 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

Location: San Francisco 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. ROLE OVERVIEW Legal professionals spend most of their day in Microsoft Word: drafting, reviewing, and refining complex documents that shape meaningful outcomes. Harvey in Word brings AI-powered capabilities directly into Word, enabling lawyers to draft faster, run playbook reviews, and perform agentic editing, all without leaving their workflow. It's one of our most strategic product lines and a key part of how we meet lawyers where they already work. As a Staff Software Engineer on the Embedded Experiences team, you will own and lead the development of Harvey in Word, our Microsoft Office Add-in built on OfficeJS, alongside our other Microsoft Office integrations. You'll architect and ship features that integrate seamlessly with Word, handling the unique challenges of building performant, polished experiences within the Office Add-in environment. We're looking for someone with deep expertise in OfficeJS and Office Add-in development, ideally from building a similar product at scale. You'll join a team of highly motivated, skilled engineers who hold everything they touch to the highest standards, from architecture to code to user experience. You may also contribute to our Outlook integration and help build the next generation of agentic AI interfaces across the Microsoft suite. This role is based in San Francisco, CA. We use a hybrid in-person work model and offer relocation assistance to new employees. WHAT YOU'LL DO - Own and lead the technical direction of Harvey in Word, our flagship Office Add-in product, alongside our other Microsoft Office integrations. - Build the AI-native editing experience: agentic document rewrites, real-time redlining, and playbook automation that transforms how lawyers work - Design and build sophisticated integrations with Microsoft Word using the OfficeJS API, including document manipulation, playbook reviews, and AI-assisted drafting - Architect scalable, maintainable solutions that handle the constraints and quirks of the Office Add-in environment across platforms (Windows, Mac, Web) - Build polished, high-performance interfaces with crisp interactions and resilient error handling - Collaborate with product, design, and backend teams to shape APIs and UX for AI-powered features like streaming results and tool-calling workflows - Navigate Office Add-in requirement sets, versioning, and cross-platform compatibility to ensure broad, reliable support - Contribute to Harvey in Outlook and shape the next generation of agentic AI interfaces across the Microsoft suite - Mentor engineers, drive technical decisions, and raise the bar on quality and developer experience WHAT YOU HAVE - 10+ years of software engineering experience, with significant depth in Office Add-in development using OfficeJS - Experience building and shipping a production Office Add-in product, ideally one used at enterprise scale - Strong proficiency in JavaScript/TypeScript, HTML, and CSS - Deep understanding of Office Add-in architecture, requirement sets, manifest configuration, and cross-platform considerations - Experience with React or similar modern frontend frameworks - Track record of shipping highly intuitive products with strong attention to detail - Familiarity with Microsoft Office Add-in guidelines and AppSource submission process is a plus NICE TO HAVE - Experience with Outlook Add-ins or other Microsoft 365 integrations (SharePoint, Teams) - Background in legal tech or enterprise SaaS - Experience building products that integrate with AI/LLM capabilities COMPENSATION RANGE $231,000 - $340,000 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-PF1 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

Location: San Francisco, CA 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. WHAT YOU’LL DO - Employee Relations: Serve as a key resource for employees and managers, providing guidance on HR policies, addressing and resolving employee conflicts, and fostering a positive and productive work environment. - HR Administration: Manage HR systems, maintain accurate employee records, benefits enrollment, and generating HR reports. - Employee Onboarding: Ensure a seamless experience from candidate offer approval to new hire start date. - HR Policy Implementation: Develop and ensure the effective implementation of HR policies and procedures across Sierra, ensuring alignment with legal requirements and company values. - Employee Engagement: Design and implement employee engagement programs to enhance employee satisfaction and foster transparent and effective communication. - Organizational design: (structuring teams for efficiency and scalability, defining roles and responsibilities, aligning talent with business strategy), strategic thinking, coaching, business acumen WHAT YOU’LL BRING - 5+ years of experience in human resources or people operations, ideally in a fast-growing environment supporting Sales organizations. - Demonstrated expertise and understanding of HR best practices, employment laws, and regulation. - Excellent organizational skills, attention to detail, and ability to manage multiple priorities in a fast-paced environment. - Proactive, innovative mindset with a focus on continuous improvement and strategic impact. - Experience partnering with engineering, product, or other technical teams. EVEN BETTER… - Hands-on experience implementing HR systems and processes in a scaling company. - Exposure to international HR compliance, including global employment laws and cross-border workforce considerations. - Understanding of international compensation structures and total rewards programs. 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: Hybrid - Sydney About Vercel: Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience. Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide. About the role Vercel's Enterprise sales team is built on people who are technically fluent, commercially sharp, and deeply curious about the companies they work with. As a Majors Install Base AE covering the ANZ market, you will own a curated book of named enterprise accounts and be the primary driver of net-revenue retention, expansion, and long-term platform depth. This is not a maintenance role — you will be expected to identify whitespace, accelerate adoption of Vercel's newest products, and drive meaningful growth across a portfolio of some of the most digitally ambitious companies in the region. You will work alongside Solutions Engineers, Customer Success, and cross-functional Vercel stakeholders to build strategic account plans rooted in customer outcomes — and to establish Vercel as an indispensable infrastructure partner embedded in your accounts' roadmaps for web and AI transformation. What you'll do Own a book of named Major Accounts, driving renewals, upsells, and cross-sells to grow account value and ensure strong net revenue retention Identify and execute expansion opportunities across your portfolio — mapping whitespace, uncovering new teams or use cases, and activating Vercel's newest products (including platform API, AI SDK, and observability tooling) Build and maintain multi-threaded relationships with key stakeholders and champions across engineering, product, procurement, and the C-suite Develop and execute strategic account plans aligned with each customer's business goals and Vercel's growth objectives, with hyperscalers, SIs, and agency partners embedded in the strategy from day one Translate Vercel's platform into board-level narratives around developer velocity, infrastructure consolidation, and AI-driven transformation as measurable operational levers Own complex commercial negotiations — renewals, ELA amendments, consumption-based expansions — and position Vercel as a long-term strategic partner Partner with Solutions Engineering, Customer Success, and Product to deliver customer outcomes and surface feedback that shapes the product roadmap What you need 5–10+ years in enterprise SaaS with a demonstrated track record of success in install base, account management, or named account roles Proven ability to drive expansion — you understand how to identify whitespace, build champions across multiple buying centres, and accelerate upsell and cross-sell motions in complex accounts Experienced in partner-influenced or co-sell motions — you know how to activate a hyperscaler or SI relationship to deepen account penetration, not just open doors Comfortable discussing architecture with a CTO and total cost of ownership with a CFO — you can flex between technical product conversations and high-level business ROI narratives A disciplined account planner who thinks in years, sequences accounts for maximum long-term revenue, and builds executive relationships with intention Fluent in MEDDPICC and rigorous about forecast hygiene and CRM discipline Able to hold credible, technically grounded conversations with senior engineering and product leadership without leaning on a solutions engineer as a crutch A value seller who leads with customer pain and business outcomes, not feature lists Bonus if you Have a background in web development, developer tooling, web infrastructure, cloud platforms, or AI/ML Come with existing relationships at AWS, GCP, or Azure — or with major SI/agency partners active in the ANZ market Have experience navigating ELAs, consumption-based commercial models, or enterprise procurement in regulated industries Have sold into or managed accounts in media, retail, financial services, or digital-native companies — verticals where Vercel has strong traction in the ANZ market Understand PLG-influenced sales motions — how developer adoption at the team level translates into enterprise expansion Benefits & Compensation: Competitive compensation package, including equity Inclusive Healthcare Package Learn and Grow — we provide mentorship and send you to events that help you build your network and skills Flexible Time Off We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed The Australia based pay range for this role is 388,000 - 524,000 AUD OTE. Actual salary will be based on job-related skills, experience, and location.  The total compensation package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program depending on the role. Your recruiter can share more details during the hiring process. Disclosures: Privacy: Please review our Job Applicant Privacy Policy for more information on how we handle your data. Equal Opportunity: Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.