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Location: Virginia Forward was founded in 2013 by four Stanford Ph.D.s, building the industry's first network digital twin: a mathematically accurate model of the production network. It's the foundation for autonomous networking, giving engineers and AI agents the ability to know the impact of every change before it touches production. That founding instinct still defines how we work. We're accurate and evidence-driven, relentless about clarity, and we'd rather be certain than comfortable, building a groundbreaking platform that transforms how teams run and secure networks across every major cloud and vendor environment. Global leaders like Goldman Sachs, PayPal, S&P Global, IBM, and Dell trust Forward, alongside fast-growing enterprises and government agencies, realizing an average of $14.2 million in annual benefits, according to IDC. Backed by top-tier investors, including A. Capital, Andreessen Horowitz, Goldman Sachs, MSD Partners, Omega Venture Partners, Section 32, and Threshold Ventures, and headquartered in Santa Clara, we're most proud of our team: curious people who'd rather build what doesn't exist than accept how things have always been done. Forward Networks is looking for a Customer Success Engineer. Do want to create a category and help build a special company? Join a company that has been in market 5+ years and has some of the top Federal agencies and F500/Global 2000 already buying and referenceable. We are building a special team and hope you consider us if you want to have the experience of changing the networking world as we know it. What you’ll do: As a Customer Success Engineer for our Federal team, you will be responsible for providing world class post-sales technical leadership to our client base. Responsibilities: Providing advice and guidance as the Forward Networks subject matter expert to ensure successful ongoing usage and adoption of our technologies Taking ownership of post-sales technical issues, working with cross-functional teams to document problem resolution steps and troubleshooting procedures Walking customers through the various stages of adoption with Forward Networks Platform Working directly with our internal Product Management, Engineering, Sales and Marketing teams. Some travel to customer locations (<10%) Requirements: B.S. Computer Science or equivalent educational experience TS/SCI w/ a CI Poly Clearance Required 5+ years of customer facing experience in a post-sales engineer role for a networking company, relevant software vendor, or as a network engineer for a large enterprise, service provider or Governmental agencies Experience: Strong understanding of Networking and Security fundamentals Experience in working with multiple Network vendors (e.g. A10, Arista, Cisco, F5, Fortinet, Juniper, Palo Alto Networks etc.) Strong verbal and written communications skills with a focus on needs analysis, positioning, business justification, and closing techniques; Superior presentation skills Excellent analytical & problem-solving skills, combined with the ability to provide quick resolution to problems Demonstrable success in thinking strategically, executing tactically while providing consistent and high levels of customer satisfaction and retention in a fast-paced environment Highly Desired: One or more of the following certificates: CCIE, JNCIE or VCDX Experience in working for a startup company Working knowledge of API driven workflows and scripting languages (Python, bash, jq, graphql, etc) The expected On-Target Cash Earnings for this role is between $190,000-$240,000 per year. Within this range, individual pay is determined by several factors including but not limited to, job-related skills, work experience, and relevant education/training

Location: SF Bay Area Workplace: Hybrid ABOUT THE ROLE We’re looking for an experienced software engineer to help drive and evolve our data and AI security product. Our technology is new and rapidly evolving: you’ll be an early contributor with a substantial impact on the architecture and be solving multiple exciting technical challenges! WHAT YOU'LL DO - You'll design and implement highly scalable and fault-tolerant solutions to protect enterprise data across public clouds (e.g., AWS, GCP, Azure), SaaS applications, and AI agents. - You'll build security capabilities that provide visibility into and control over how AI agents discover, access, process, and share sensitive enterprise data. - You'll solve real-world scaling problems that require thorough performance analysis and troubleshooting skills. - You'll work with a modern and constantly evolving microservices-based software stack that includes Go, Kubernetes, Bigtable, BigQuery, Spanner, Redis, Docker, and more. - You'll write robust, secure-by-design software that must withstand real-world attacks while processing untrusted data and communicating with hundreds of thousands of endpoints over the internet. WHO YOU ARE - Proven Expertise: You have 5-8 yrs of industry experience in building high-scale security products. Experience in data security is highly preferred. - AI Agents and Agentic Security: You have experience building AI agents, agentic applications, or security solutions for AI agents. Familiarity with agent frameworks, tool calling, MCP, and securing agent access to enterprise data is highly preferred. - Cloud and SaaS Development: You have extensive experience developing distributed application software for public clouds (AWS, GCP, Azure) or SaaS applications. - Data Integration at Scale: You are skilled in integrating and ingesting large-scale data from third-party SaaS, PaaS, or IaaS APIs. - Programming Skills: You have extensive experience developing enterprise-scale applications, preferably in Go. Alternatively, you are proficient in Python, Java, or Rust. - Database Proficiency: Familiarity with GCP Bigtable, BigQuery, or graph databases such as Neo4j or AWS Neptune is a plus. - Performance Optimization: You have expertise in profiling and optimizing distributed code that interacts with large databases and streaming platforms. - API and Microservices Development: You are experienced in designing and implementing RESTful APIs, with hands-on knowledge of microservices and Kubernetes. - Communication Skills: You have excellent verbal and written communication skills in English and are comfortable collaborating frequently with distributed teams across Europe, India, and the US. Joining Cyberhaven means joining the team building Data Security for the Agentic Enterprise. Traditional tools fall short. Cyberhaven traces the full lifecycle of your data, adapting protection to changing context, so protection moves with the way people actually work, not against it. AI Changed Work. We Protect It. Backed by $250M from leading investors like Khosla and Redpoint, our team includes leaders who built industry-defining technologies at CrowdStrike, Palo Alto Networks, Meta, Google, and more. This role lets you shape the future of data security, working alongside people driven to protect workflows, not just data, for customers who cannot afford to slow down to stay safe. AI Tools Disclosure: As part of Cyberhaven's hiring process, we use recruiting tools that include AI-powered features to help with tasks like scheduling, note-taking, workflow automation, and other recruiting activities ("AI Tools"). The AI Tools may process information you provide during the application and interview process. When AI-assisted interview note taking is used, candidates are notified in advance and have the option to opt out of the AI-assisted interview note taking. Cyberhaven is committed to creating a diverse environment and is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

Location: Bangalore Workplace: Hybrid ABOUT THE ROLE We’re looking for an experienced Senior Software Engineer with 5+ years of experience to help build and evolve our data and AI security product. You’ll work on scalable backend systems that protect enterprise data across cloud environments, SaaS applications, and AI agents. As an early contributor, you’ll have the opportunity to influence technical decisions and solve complex engineering challenges at scale. WHAT YOU’LL DO - Design and build highly scalable, reliable, and fault-tolerant backend systems to protect enterprise data across public clouds (AWS, GCP, Azure), SaaS applications, and AI agents. - Develop security capabilities that provide visibility and control over how AI agents access, process, and share sensitive enterprise data. - Build and optimize distributed services that process large volumes of data with high performance and reliability. - Work with a modern microservices-based stack including Go, Kubernetes, Bigtable, BigQuery, Spanner, Redis, and Docker. - Write secure, production-ready code and troubleshoot complex performance and scalability challenges. - Collaborate with engineering teams to contribute to technical design and architecture decisions. WHO YOU ARE - You have 5+ years of software engineering experience building scalable backend systems and distributed applications. - You have experience developing cloud-native or SaaS applications, preferably in security or data protection. - You have experience with AI agents, agentic applications, or AI security, including familiarity with agent frameworks, tool calling, or MCP. - You have experience integrating and ingesting large-scale data from third-party SaaS, PaaS, or IaaS APIs. - You have strong programming skills in Go, Python, Java, or Rust, with Go preferred. - You have hands-on experience with microservices, RESTful APIs, Kubernetes, and public cloud platforms. - You are familiar with distributed databases such as Bigtable, BigQuery, Spanner, Redis, or graph databases. - You have strong debugging, performance optimization, and problem-solving skills, with the ability to independently own and deliver technical solutions. - You communicate effectively and collaborate well with distributed teams. Joining Cyberhaven means joining the team building Data Security for the Agentic Enterprise. Traditional tools fall short. Cyberhaven traces the full lifecycle of your data, adapting protection to changing context, so protection moves with the way people actually work, not against it. AI Changed Work. We Protect It. Backed by $250M from leading investors like Khosla and Redpoint, our team includes leaders who built industry-defining technologies at CrowdStrike, Palo Alto Networks, Meta, Google, and more. This role lets you shape the future of data security, working alongside people driven to protect workflows, not just data, for customers who cannot afford to slow down to stay safe. AI Tools Disclosure: As part of Cyberhaven's hiring process, we use recruiting tools that include AI-powered features to help with tasks like scheduling, note-taking, workflow automation, and other recruiting activities ("AI Tools"). The AI Tools may process information you provide during the application and interview process. When AI-assisted interview note taking is used, candidates are notified in advance and have the option to opt out of the AI-assisted interview note taking. Cyberhaven is committed to creating a diverse environment and is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

Location: Remote - United States Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . The Android Platform team sets the technical direction for Android at Reddit. We design, build and support the Android app for millions of DAUs and the development ecosystem (libraries, frameworks, observability, and build/CI tooling) that every team uses to ship delightful Reddit experiences. As a Staff Android Engineer on the Android Platform team, you’ll set technical direction and lead cross-team initiatives for a large, multi‑team Android codebase, with a core focus on three pillars: Client Health (Crashes/ANRs/Performance), Developer Experiences, and App Architecture (modern and opinionated). You’ll turn ambiguous platform problems into a multi-quarter roadmap, align engineering partners, and stay hands-on from design and implementation through rollout and adoption. What you’ll do Lead technical decisions that will scale Reddit’s Android Platform to the next 100M+ DAUs, balancing long-term platform health with product delivery. Drive Developer Experience strategy to accelerate build and test cycles and improve release safety across teams. Architect Android Client Health and Observability foundations (events, traces, dashboards) to empower engineering teams to safeguard performance and reliability. Champion AI supercharged developer and agent workflows. Provide technical leadership and mentorship to senior engineers, elevating engineering standards across teams through architectural reviews, documentation, and technical guidance. What we expect from you 5+ years software development experience with 3+ years building Android applications, with a track record of leading complex Android initiatives from problem definition through delivery and sustained adoption. Experience setting technical direction and delivering shared platform capabilities in a large Android codebase used by multiple teams and millions of daily active users. Deep expertise in Kotlin, Android lifecycle and concurrency, and modern Android technologies such as Jetpack Compose and Kotlin coroutines, with sound judgment about architectural tradeoffs and migration strategies. Strong background in Android platform/infrastructure work: shared libraries or frameworks, experiments/logging, navigation, startup/session orchestration, or core networking/caching. Strong systems thinking and hands-on problem solving, with evidence of measurable improvements to app reliability, performance, or developer productivity. Ability to influence without formal authority, build consensus across engineering, product, design, and data partners, and communicate technical strategy and tradeoffs clearly. Practical experience applying AI to engineering workflows (code generation, refactoring, static analysis, or CI checks) with clear, measurable benefit. 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 # LI -Remote 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: Sunnyvale, CA; United States - Remote Workplace: remote We have an opportunity for an organized undergraduate student to join our IT and Security team as an AI & Operations Intern, and we’re looking for a candidate who is available to start immediately.   Our Intern will have an opportunity to accelerate their personal and professional growth through a professional learning environment.   About You Under the direction of our VP of IT and Security, our Intern will add value and contribute to key IT and Security projects.   Duration:   We anticipate this position will work 40 hours per week and can be based in our Sunnyvale, CA office or remotely in the US. What You'll Do (aka Responsibilities) Claude Skill Development Design, build, and test Claude skills (SKILL.md) for IT and Security workflows, including writing skill descriptions, step-by-step instructions, and prompt logic that integrates with Azul's connected MCP servers. AI Agent Design and Deployment Assist in scoping, building, and iterating on AI agents that automate repetitive IT and Security tasks, including tool selection, prompt engineering, and testing against real-world scenarios. MCP Connector Integration and Testing Configure and validate MCP connector integrations (Slack, Atlassian, Asana, M365, Salesforce) within Claude, documenting tool behavior and flagging gaps or security considerations. Security Operations Support Support the Security team with log review, alert triage, and incident documentation across Okta, Microsoft Purview, and Defender, following established investigation playbooks. IT Operations and Helpdesk Assistance Assist with hardware procurement tracking, onboarding/offboarding tasks, Jamf device management, and SaaS access requests under the direction of the IT Operations team. Documentation and Knowledge Base Maintenance Create and maintain internal documentation for AI tools, security procedures, and IT runbooks in Confluence, ensuring accuracy and accessibility for team members. What You'll Bring (Education, Skills, Qualifications) Education: Currently enrolled in an Undergraduate degree program majoring in Engineering, Information Technology, Physics or appropriate degree with a minimum overall GPA of 3.4 Excellent organizational and time-management skills Able to effectively manage competing priorities Excellent written and verbal communication skills Additional Details Start date: Immediate - available to start right away Duration:  8-12 weeks Weekly hours:  40 Location:  Sunnyvale, CA or Remote, US We offer compensation where you’ll be rewarded based on your performance and recognized for the value you bring to the business.  The hourly pay for this job is $25.00.  Individual hourly pay is determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography.

Location: Canada; 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 As Docker continues its rapid growth, we're seeking an inspiring and experienced Director of Partner Solution Engineering to lead a world-class team. Docker helps organizations solve complex challenges in modern software supply chains, security governance, and AI-driven development. This role offers the opportunity to shape how our strategic partners, including ISVs, CSPs, SIs, and VARs, adopt and deliver transformative technologies that make developers more productive and secure. As Director of Partner Solution Engineering, you will lead a high-performing technical organization responsible for driving partner enablement, joint go-to-market initiatives, and technical excellence across Docker's partner ecosystem. You will collaborate closely with Partner Sales, Technical Alliances, Product, and Engineering to develop scalable technical partnership strategies that help partners successfully integrate, sell, and deliver Docker's platform. Your focus will be on enabling your team to drive partner technical readiness, co-innovation, and mutual customer success while building repeatable models for partner engagement at scale. _______________________________________________________________________ KEY RESPONSIBILITIES LEADERSHIP & TEAM DEVELOPMENT - Lead, develop, and inspire a team of Partner Solution Engineers, ensuring professional growth and high performance across multiple partner segments (ISVs, CSPs, SIs, VARs). - Build and scale the Partner SE organization to support Docker's expanding partner ecosystem and geographic coverage. - Foster a culture of innovation, collaboration, and continuous learning focused on partner success and technical excellence. - Coach, mentor, and empower your team to engage effectively with diverse partner organizations and communicate complex technical concepts clearly. PARTNER ENABLEMENT & TECHNICAL STRATEGY - Establish repeatable processes and programs for partner technical enablement, including scalable learning paths, certifications, technical deep-dives, and integration workshops. - Design and deliver both 1:1 strategic enablement for key partners and 1-to-many programs that drive adoption across the broader partner ecosystem. - Create technical content, integration guides, architectural diagrams, reference architectures, and enablement videos tailored for partners. - Develop partner-specific technical sales plays, solution validation frameworks, and proof-of-value methodologies that highlight Docker's differentiated value. JOINT GO-TO-MARKET EXECUTION - Partner with the Partner Sales organization to drive joint account planning, co-selling opportunities, and "sell-with" and "sell-through" motions. - Guide partners through solution design, technical validation, and evaluation processes to achieve joint customer success and sales goals. - Support product positioning and technical validation during joint sales engagements, ensuring clarity on what's GA and ready for delivery. - Define and track metrics for partner technical readiness, engagement quality, and revenue impact. PRODUCT & ALLIANCE COLLABORATION - Collaborate with Product and Engineering teams to share Voice of the Partner, influencing roadmap priorities and co-building initiatives. - Guide beta/EAP program participation with strategic partners, gathering feedback on new features and integration requirements. - Work closely with the Technical Alliances team on roadmap alignment, technical integrations with CSPs and ISVs, and partner-driven feature requests. - Champion regional partner technical needs and priorities in internal planning discussions (FedGov, EMEA, APAC). CROSS-FUNCTIONAL LEADERSHIP - Collaborate with Field SEs to ensure alignment with market-specific requirements, share learnings, and avoid duplication of effort. - Partner with Marketing to support partner events, conferences, webinars, and demand generation programs. - Work with Sales leadership to define partner success metrics, performance standards, and technical excellence measures. - Represent Docker at partner events and conferences as a technical expert and evangelist. OPERATIONAL EXCELLENCE - Create an environment of continuous improvement focused on partner outcomes, operational excellence, and scalable processes. - Develop internal enablement programs that enhance partner SE capabilities and share best practices across teams. - Establish tools, systems, and workflows that enable efficient partner engagement and measurement. - Build strong feedback loops to iterate on enablement strategies based on data-driven insights and partner performance. _______________________________________________________________________ QUALIFICATIONS REQUIRED - 8+ years of experience leading technical partner engineering, partner solutions, or pre-sales teams for distributed systems, developer platforms, or cloud infrastructure companies. - Proven success in guiding teams that support channel partnerships, strategic alliances, and joint go-to-market initiatives. - Minimum of 5 years in management, including hiring, mentoring, and scaling high-performing partner-facing technical teams. - Deep understanding of partner ecosystems including ISVs, CSPs (AWS, Azure, GCP), Systems Integrators, and VARs. - Strong experience in software supply chain security, security governance, DevOps, DevSecOps, or developer productivity technologies. - Deep technical understanding of containerization, cloud-native architectures, CI/CD pipelines, and developer tools. - Demonstrated ability to build scalable partner enablement programs (technical learning paths, certifications, workshops). - Excellent communication and executive presentation skills, with the ability to build trust across technical and business audiences at both partner and customer organizations. - Strong strategic thinking with proven ability to influence cross-functional teams and drive complex initiatives. PREFERRED - Operational experience with Docker, Kubernetes, or similar container-based platforms. - Experience with application security principles and securing the software supply chain, including SBOMs, image scanning, and secure delivery pipelines. - Background in software development, scripting, or infrastructure-as-code. - Experience enabling developer productivity through coding assistants, AI integrations, or AI agent development. - Familiarity with partner operations tools including Salesforce and enablement platforms like MindTickle. - Experience working in both direct and channel sales models, understanding the nuances of partner-led vs. partner-assisted sales. - Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience). - Willingness to travel (~30% expected) to support key partner engagements and events. _______________________________________________________________________ WHAT SUCCESS LOOKS LIKE 30 DAYS - Successfully onboard, gaining familiarity with Docker's platform, partner ecosystem, and partner go-to-market strategy. - Establish relationships with your team, Partner Sales, Technical Alliances, Field SE leadership, and key cross-functional partners. - Begin shadowing partner calls, reviewing existing enablement materials, and understanding current partner technical capabilities. - Learn tooling (Salesforce, Looker, Docker platform, PRM) and connect with internal stakeholders. 90 DAYS - Develop and align a 12-month strategic plan with Partner Sales, Technical Alliances, and Product leadership. - Begin executing key initiatives focused on improving partner technical readiness, enablement program quality, and joint sales effectiveness. - Lead enablement sessions for selected strategic partners and support joint-account planning activities. - Produce initial partner-facing technical content and establish your voice as a technical leader in the partner ecosystem. 1 YEAR - Scale and enable a high-impact Partner Solution Engineering organization that drives measurable partner success and revenue growth through the channel. - Own the technical strategy for one or more partner segments with documented processes, metrics, and success stories. - Become a trusted advisor across Partner Sales, Product, Engineering, and Technical Alliances by championing partner insights and technical excellence. - Demonstrate quantifiable improvements in partner technical closure rates, joint sales velocity, and partner satisfaction scores. - Build a reputation as a thought leader in the partner ecosystem, representing Docker effectively at partner events and conferences. _______________________________________________________________________ WHY JOIN DOCKER Docker is at the forefront of developer productivity and software supply chain security. As Director of Partner Solution Engineering, you'll have the opportunity to: - Shape the technical strategy for how Docker scales through its partner ecosystem - Build and lead a world-class team of Partner Solution Engineers - Work with industry-leading partners including major cloud providers, security vendors, and global system integrators - Influence product direction based on partner and customer insights - Make a measurable impact on Docker's growth through the channel - Collaborate with passionate, talented teams across Sales, Product, Engineering, and Alliances This is a high-impact leadership role for someone who thrives at the intersection of deep technical expertise, strategic partnership development, and team building. If you're excited about enabling partners to deliver exceptional outcomes for joint customers while building a best-in-class Partner SE organization, we'd love to hear from you. Visa sponsorship: Not available for this role. _______________________________________________________________________   COMPENSATION & EQUITY All full-time roles include equity. Final compensation is determined on factors including but not limited to experience, skills, qualifications, and location. Canada: CA$327.6K– CA$468K OTE United States: $226.1K – $323K OTE ______________________________________________________________________ POSTING INFORMATION - Open vacancy: This posting is for an existing open role. - AI in hiring: Docker may use AI-assisted tools during our recruiting process. - Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent. ______________________________________________________________________ PERKS & BENEFITS - Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration. - Flexibility that fits your life – We trust you to manage your schedule while delivering great work. - Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break. - Home office support – Set up your workspace for comfort and success. - Technology stipend – Equivalent to US$100 net per month to help support your work. - Learning & development – Annual stipend for conferences, courses, certifications, and continued learning. - Parental leave – 16 weeks of paid parental leave after six months of employment. - Equity for all full-time employees – Share in Docker's long-term success as we continue to grow. - Comprehensive benefits – Medical, retirement, and paid holidays vary by country. - Docker swag – Because representing the whale never gets old. Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community. #LI-REMOTE

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

Location: Seattle, WA 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 is seeking a Senior Principal Engineer to serve as the technical visionary and architect for how software gets built, verified, and trusted. Every day, millions of developers pull images, install dependencies, and ship builds to production. Each of those steps is a place where something can go wrong, or be made to go wrong. Compromised base images, malicious packages, tampered build steps, unsigned artifacts moving through pipelines nobody is watching. The industry calls this the software supply chain, and it has become one of the most consequential unsolved problems in software engineering. This role sits in Docker and Ecosystems, the group that owns Docker’s most well known products and our emerging content and SDLC business. You will own the technical strategy for secure software delivery across all of it, defining what verifiable, tamper-resistant software delivery looks like at Docker's scale, then driving the architecture that makes it real for every developer and every enterprise customer using our products. You will set multi-year technical direction, make architectural decisions that shape Docker's product portfolio, and work directly with the SVP of Engineering and executive team on strategy. You will not manage people. You will change what the industry considers table stakes. _______________________________________________________________________ WHAT YOU'LL DO TECHNICAL VISION AND STRATEGY - Lead multi-year technical vision for build security and supply chain across Docker Desktop, Hub, Hardened Images, Verified Publishing, and monetization platforms. - Define and sequence "trusted by default" architecture for 20M developers. - Partner with the SVP of Engineering to convert commercial strategy into multi-year technical roadmaps. - Establish company-wide architectural principles and security standards. - Identify high-leverage platform investments that enhance security across all Docker products. - Proactively position architecture ahead of evolving supply chain threats and regulatory demands. BUILD SECURITY ARCHITECTURE Architect systems to detect and prevent build-process threats like compromised dependencies, malicious steps, tampered artifacts, and untrusted images. - Design provenance and attestation infrastructure ensuring Docker artifacts carry verifiable build history. - Define artifact signing, verification, and policy enforcement across local workflows and CI/CD pipelines. - Architect SBOM generation, dependency analysis, and vulnerability intelligence for complete software visibility. - Align with and help shape emerging supply chain security standards. - Ensure security controls remain fast and unobtrusive so developers keep them enabled. SDLC AND DEVELOPER WORKFLOW INTEGRATION - Architect how Docker's security capabilities integrate across the full software development lifecycle, from local development through CI/CD to production deployment - Design the interfaces and contracts that let Docker's tooling embed into the pipelines, registries, and platforms customers already run, rather than asking them to rebuild around us - Define the developer experience for security tooling, where the secure path is the fast path and the default path - Architect policy and enforcement models that satisfy enterprise security and compliance requirements without fragmenting the developer workflow - Drive convergence of security capabilities across Docker products, replacing product-specific implementations with shared platform primitives TECHNICAL EXCELLENCE AND INFLUENCE - Work with leaders across engineering to drive strategy and execution - Mentor and develop Staff and Principal engineers, raising the technical bar across the organization - Represent Docker's security architecture externally through blog posts, conference talks, standards bodies, and technical community engagement - Participate in executive-level discussions, providing architectural perspective on business decisions - Take part in on-call rotation for your team, respond to incidents, debug production issues, and drive continuous improvement of system reliability _______________________________________________________________________ WHAT YOU'LL BRING DOMAIN EXPERTISE - 12+ years of software engineering experience specializing in build security, software supply chain security, or SDLC tooling - Deep understanding of build process threat models across dependencies, environments, artifacts, and pipelines, along with effective mitigations - Architectural experience in artifact signing, attestations, SBOMs, dependency security, CI/CD security, base image trust, or vulnerability intelligence - Practical knowledge of supply chain security frameworks and standards - Expertise in API design, service architecture, and scalable system integration - Proven record delivering large-scale distributed systems for millions of users and enterprise customers - Experience with major cloud platforms (AWS, GCP, Azure) and modern infrastructure - Bachelor's degree in CS, Engineering, or equivalent practical experience STRATEGIC AND BUSINESS IMPACT - Proven track record creating strategic technical plans that enable revenue, expansion, or enterprise deals - Experience converting business strategy into technical architectures and roadmaps - Understanding of SaaS business models, enterprise sales, and how security impacts commercial outcomes - Experience leading build-vs-buy decisions for core platform components LEADERSHIP AND INFLUENCE - Ability to lead large, cross-company technical initiatives across multiple engineering teams - Experience partnering with VPs and executives to define and execute technical strategy - Proven ability to influence technical direction and build consensus without direct authority - Strong communication skills for presenting to executives and driving organization-wide alignment - Experience mentoring senior engineers and developing technical leaders ENTERPRISE CONTEXT - Experience building products that serve enterprise customers with complex security and compliance requirements - Knowledge of enterprise security requirements and compliance frameworks such as SOC 2 and ISO 27001, and their architectural implications - Understanding of how enterprise security teams evaluate, procure, and operate tooling PREFERRED - Scale experience at a security, developer tools, or infrastructure software company - Experience with containers (Docker, Kubernetes) or developer platforms - Experience with complex enterprise billing, contracts, usage pricing, and revenue recognition - Proven ability to migrate legacy systems without disrupting business operations - Contributions to open-source security tools or supply chain security standards - Recognized technical leader via speaking, publishing, or open-source work - Advanced degree in CS, Engineering, or a related field _______________________________________________________________________ WHAT SUCCESS LOOKS LIKE SECURITY POSTURE - Artifacts produced through Docker carry verifiable provenance by default, not by opt-in configuration - Build-time threat classes are addressed architecturally rather than through detection after the fact - Developers keep security controls enabled because the controls are fast and unobtrusive BUSINESS ENABLEMENT - Security and governance capabilities directly unblock enterprise revenue - New product SKUs launch in weeks instead of months through the billing platform - Usage-based billing supports monetization of new security and AI product lines PLATFORM LEVERAGE - Product teams ship enterprise-ready, secure-by-default features in under two weeks rather than months - Shared security primitives replace fragmented per-product implementations - Platform systems achieve 99.9%+ uptime for business-critical workflows ORGANIZATIONAL IMPACT - Recognized across Docker as the definitive technical authority on build and supply chain security - Multiple Staff and Principal engineers developed who can own major domains - Docker's voice carries weight in the external supply chain security conversation 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: $219K – $352K 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: Remote, Worldwide Workplace: remote About Distru Distru is the #1 ERP in the cannabis industry with $15B in sales processed through our platform. We've built a battle-tested ERP and B2B eCommerce platform that powers inventory, manufacturing, sales, and logistics, and we're now building AI infrastructure on top of it to give commercial businesses their all-in-one AI stack. We're growing and profitable, with 5/5 stars on Glassdoor. Our investors include Felicis Ventures, Global Founders Capital, Poseidon Asset Management, and Village Global, who have funded companies such as Shopify, Cruise, HelloFresh, Facebook, Slack, and Opendoor. Get to know the team, our culture and our full benefits at distru.com/careers! The Role AI has hit an inflection point in model capability for enterprise work, and AI assistants like Claude, Codex, and Grok are seeing record adoption in the workplace. We believe the system of record has never been more valuable, because it's where the data AI acts on gets consolidated and organized. So we're building Distru headless-first: unified access to ERP data, deep MCP and embedded AI assistant integrations, agents embedded in Distru, and a seamless experience between the ERP and the AI tools our customers already use. The AI space moves fast and the specifics will change, so this vision is something you'll mold. As our first VP of Product, you'll own: Product direction: strategy across Distru ERP, Distru Commerce, Order Agent, Distru Analytics, and our AI product suite, with accountability to revenue & growth AI product suite: the foundations that make Distru an all-in-one AI stack, including the unified data layer, agent builder, workflow builder, MCP, and the headless experience AI vision and evangelism: keeping Distru ahead of the curve on AI, finding where it creates product-market fit and new market opportunities, and championing that vision with the team, customers, and the market Product org: growing the product team from 4 to 8+, structured to serve existing ERP and Commerce customers while building new AI-first product lines Product timeline: the company's source of truth for what's shipping and when AI-first product process: how the team plans, specs, designs, and ships with AI And more… You'll report to the CEO and work closely with the VP of Engineering, Head of Sales, Head of Go-to-Market, and the product team. You'll have a long-tenured team of craftspeople around the existing product, and a fast-moving AI team experimenting at the frontier. There's a lot of autonomy and room to bring new methods, and we welcome wild AI-forward ideas. What you'll do Product strategy Deliver a quarterly strategy review to the exec team: market landscape, ERP and AI sequencing, a 1-year roadmap, metrics, and resourcing asks Own the product timeline and keep the company and technical teams aligned on it Shape our data infrastructure (StarRocks, BigQuery, Postgres) with engineering so it serves internal and external AI use cases AI vision and evangelism Track new models, AI tools, and competitor moves, and turn them into a point of view on where Distru should play next Find product-market fit for our AI products and size the new markets AI opens up, testing bets with customers before we commit the roadmap Evangelize our AI vision inside and outside the company: rally the team, equip GTM with the story, and show customers and the industry what an AI-first ERP can do Team leadership Own the product hiring pipeline, set the hiring bar, and find creative ways to bring in top talent Manage and coach the product team, including hard feedback, performance plans, and exits when needed Set PRD standards, review PRDs, designs, and mockups, and lead the team's adoption of AI-first product processes Cross-functional leadership Set the operating cadence with engineering: planning, roadmap reviews, and a clear split where product owns the what and engineering owns the how Work with GTM on launches, feature enablement, and AI-forward content, and make sure our MCP and API docs and knowledge base are high quality Run the feedback loop from customers, CS, and Sales, build relationships with key customers, and track feature adoption in a way the whole company can see What success looks like at 6 months You've run your first quarterly strategy review, and the exec team has signed off on a 1-year roadmap tied to revenue targets You've made your first product hires, at a hiring bar you've set and written down You've shipped a core piece of the headless AI suite, and its adoption and revenue impact are tracked in a dashboard the whole company uses What we look for AI fluency For every AI role, we look for three things: Tool fluency: you personally build with AI tools. You go beyond prompting and have built your own skills, agents, workflows, or prototypes. Process fluency: you've set AI-first processes for a product team, and you have a point of view on how to evaluate AI fluency when hiring a PM. Build fluency: you know how to evaluate an AI workflow in production, with evals, observability, and feedback loops that make agents better over time. You use AI tools daily and can tell us specifically where your fluency is strong and where you're still building it. Must have 10+ years in product management, including 4+ leading product teams Product leadership: you've built and run a product org, including hiring, coaching, and making hard people calls, and you've led a product into new markets or major new product directions AI products in production: you've built and shipped AI product lines such as MCPs, Agent Builders, Workflows, Copilots, etc… that are used in production Technical depth: you know the modern SaaS and AI stack, including infrastructure, data, AI models, and full-stack development, and the production concerns that come with it: reliability, observability, permissions, and durable workflow execution Outcome orientation: you measure the impact of product decisions by their revenue impact Hands-on: you still do the work: PRDs, tools, details. You can sit with engineers without translating through a layer Strong signal Experience in ERP, accounting, cannabis, or supply chain software You've taken an AI product from zero to revenue You've led product at a B2B SaaS company at a similar stage You've been a founder How we work We love building with AI. Trying new models the week they drop, building agents for fun, and forming strong opinions on what works. We invest in it with company-wide AI growth with classes and workshops, AI demo days, AI hackathons, and access to best-in-class models and tools. Product owns outcomes, not output. You measure product by adoption and revenue, and you hold the team to the same bar. Taste and conviction beat consensus. You make opinionated calls on what we build, and you grow that taste across the product team. Product owns the what, engineering owns the how. You hold a high technical bar without doing engineering's job. You'll build on what we've learned. You'll have access to the team's combined AI knowledge and the processes and skills we've built. For the full picture of our culture and who thrives here, see distru.com/careers . Benefits Our careers page is the best way to get to know us: the full benefits, our yearly offsites, who thrives here, and what the team says about working at Distru. Here are a few highlights (exact benefits vary by country and employment type): Fully remote across 4 continents Employee-friendly option terms: after 2 years, a 10-year window to exercise if you leave 18 days PTO + 11 holidays (sick days don't count toward PTO) Medical, dental, vision + 401(k) for US employees The best AI tools available and a generous AI stipend for everything else Yearly in-person team offsites Interview process Application questions: three short questions on something you've built with AI, an AI capability you've shipped, and the product teams you've led Leadership interview (60 min): your background, how you lead, hire, and manage product teams, and a briefing on the role AI product-market fit (60 min): your view of AI product-market fit for Distru, plus a show and tell of products and mockups you've built Co-building session (90 min): build a working prototype of a feature live with AI, alongside our design and product team Technical leadership (60 min): how you work with engineering, what makes an MCP and headless suite defensible, and how product improves agents over time Take-home: Headless AI Product Suite (4–8 hours, then a 60 min presentation): define Distru's headless AI product suite and present it live Meet the team (four 45 min calls): calls with both co-founders, a reverse AMA with GTM, and an AMA with the product team References and offer Distru was formed by an environment of mutual respect and trust made up by people working together without regard to race, color, religion, sex, pregnancy (including childbirth, lactation and related medical conditions), national origin, age, physical and mental disability, marital status, sexual orientation, gender identity, gender expression, genetic information (including characteristics and testing), military and veteran status, and any other characteristic protected by law. We believe that diversity and inclusion among our team members is critical to our success and we proactively strive to recruit, develop and retain the best and brightest people from the most diverse candidate pools we can find all over the world. Where you land in the range depends on your experience and skills. The role also includes equity.

Location: Remote - Colombia ; Remote - Costa Rica ; Remote - Mexico About Backblaze Backblaze provides reliable, high-availability cloud storage trusted by consumers, SMBs, enterprises, and developers in over 150 countries. Backblaze B2 Cloud Storage supports data-intensive workloads including backup, media, analytics, and modern AI pipelines. Our teams focus on building durable, scalable systems with a strong emphasis on developer experience and operational efficiency. Role Overview We are seeking a Software Engineer to build and maintain open source AI integrations, frameworks, and example applications that make Backblaze B2 Cloud Storage a natural part of how AI workflows are constructed and deployed. This is a front-row seat to the AI ecosystem as it evolves, working directly with the latest AI startups, open source frameworks, and developer tools. This role is expected to actively use the latest AI coding agents and tools as part of everyday development work. The primary objective is to build and contribute production-quality open source integrations, new frameworks, and end-to-end example applications that demonstrate how B2 supports AI workflows. A practical understanding of AI workflows, agent-based systems, and data orchestration is required. This role demands continuous learning and hands-on testing of emerging AI frameworks and APIs as they mature, and is best suited for someone genuinely excited to work at the forefront of AI development. What You’ll Be Doing Use AI coding agents to build coding harnesses to accelerate the development, testing, and maintenance of public and internal applications, SDKs, notebooks, and reference implementations that demonstrate AI and cloud storage best practices. Implement and maintain open source AI integrations, frameworks and example applications using languages commonly used in the open source ecosystem, including Python, TypeScript, Go, and Rust. Use AI-assisted development tools, including Claude Code, to accelerate implementation while validating correctness, security, and performance. Contribute to open source projects through code contributions, issue triage, reviews, and ongoing maintenance. Ensure all open source assets meet high standards for testing, documentation, reproducibility, and developer usability. Maintain clean, well-structured GitHub repositories intended for external adoption and community contribution. Collaborate with Product and QA to ensure integrations reflect real customer AI workflows and Backblaze B2 usage patterns. Tools and Technologies Languages: Python, TypeScript, Go, JavaScript and other open source languages Backblaze B2 SDKs and REST APIs Open source AI frameworks and tooling AI coding agents, such as Claude Code, Antigravity and Codex Jupyter and Google Colab notebooks GitHub, pytest, CI pipelines What We’re Looking For Software engineer with experience contributing to open source projects in one or more widely used open source languages. Comfortable owning and maintaining public repositories with external users and contributors. Practical understanding of AI workflows, including data ingestion, preprocessing, inference, and agent-based systems. Experience writing production-quality code with strong testing and documentation practices. Strong written communication skills with a focus on developer experience and adoption. Why Backblaze Build open source software used by developers worldwide. Work at the intersection of AI, data, and cloud storage. Collaborate with experienced engineering, product, and QA teams. Competitive compensation and benefits. Remote-first culture supporting work-life balance. At this point, we hope you are excited about the opportunity. Even if you do not meet every requirement, we encourage you to apply. Learning, development, and growth are important parts of our culture. We are eager to meet people who believe in our mission and can contribute to our team in different ways. We want employees to feel comfortable bringing their full selves to work and doing their best work here. At Backblaze, we value being fair and good to our customers, partners, and employees. Diversity, equity, and inclusion are central to those values. We are committed to fostering a workplace where employees experience a sense of belonging regardless of race, ethnicity, nationality, gender, sexual orientation, age, religion, socioeconomic status, ability, veteran status, or education. We believe a diverse workforce helps us better serve customers around the world and reinforces our commitment to doing the right thing. Backblaze is proud to be an Equal Opportunity Employer. To understand more about the data we collect and process as part of your application, please review the Backblaze Employee Privacy Notice . #LATAM

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

Задачи: — Design, develop, and optimize production-grade agentic AI solutions. — Run meaningful evaluations to improve prompts, model behavior, orchestration, reliability, and performance in production. Требования: — Deep expertise in machine learning and applied AI. — Experience building and deploying production-level AI/ML services. — Strong software engineering and coding skills. — Experience developing or optimizing LLM- and agent-based applications. — Strong knowledge of prompt engineering and optimization. — Strong knowledge of model evaluation and benchmarking. — Strong knowledge of AI quality, reliability, and performance measurement. — Strong knowledge of agent behavior and orchestration. — Ability to design and run meaningful evaluations and interpret results. — Experience with APIs, data pipelines, backend systems, and AI platforms. — Familiarity with modern AI tools, frameworks, and cloud environments. — Ability to collaborate with platform engineers, product teams, and business stakeholders. — Strong communication skills and experience delivering maintainable, production-quality solutions. Плюсом будет: — Python experience. — Background as an Applied AI Scientist, AI Engineer, or Machine Learning Engineer. Условия: — Own a defined production AI workstream with direct impact on reliability and scale. — Work closely with an existing platform engineering team on applied AI delivery. — Focus on production-grade AI implementation rather than purely research-oriented work.

Задачи: — Доставлять Salesforce истории из готового к разработке бэклога до продакшена, включая тесты и релизные заметки — Создавать и поддерживать Flows, Lightning Web Components и функциональность Apex с двухнедельным циклом поставки — Управлять pull request, автоматизированными тестами, исправлениями дефектов и проверкой качества продакшена — Создавать API и компоненты для MuleSoft в тесном сотрудничестве с инженерами интеграции — Использовать AI pair-программирование для Flow, LWC, Apex и создания шаблонов unit-тестов с независимой проверкой готовности к продакшену — Добавлять автоматизированные тесты и проверки безопасности в рамках того же pull request, что и разработка — Проверять bulkification, sharing, безопасность и соответствие лимитам Salesforce governor — Участвовать в peer review и дежурстве P1 — Вносить вклад в создание переиспользуемых AI prompt-ов и паттернов разработки для повышения качества и эффективности — Отвечать за решения в продакшене и предотвращать попадание непроверенного AI-кода в продакшен Требования: — 3–6+ лет опыта разработки на Salesforce — Уверенный опыт работы с Apex — Уверенный опыт создания Lightning Web Components (LWC) — Уверенный опыт работы с Salesforce Flow — Опыт разработки с использованием Git и pull request workflow — Сильное понимание автоматизированного тестирования, включая unit-тесты и проверки безопасности — Опыт валидации безопасности Salesforce, правил шаринга, bulkification и лимитов governor — Опыт интеграции компонентов Salesforce с API и решениями MuleSoft — Ежедневный опыт использования AI copilots или coding agents для разработки, тестирования и документации — Способность проверять и валидировать AI-сгенерированный код перед деплоем — Опыт участия в peer review, решении дефектов и поддержке продакшена Опционально: — Опыт работы с Salesforce Experience Cloud — Опыт работы с Salesforce Service Cloud Условия: — Удалённая работа — Полная занятость — Длительность контракта 12+ месяцев — Требуется пересечение рабочего времени 6 часов с часовым поясом Восточного побережья США

Location: London Workplace: OnSite Company Description We’re http://checkout.comCheckout.com http://Checkout.com. You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we’re behind many of the digital experiences you use every day. We are where the world checks out, enabling over 10 billion transactions yearly for more than one billion global shoppers. Whether you want to book a holiday, order food, renew a subscription, or check out online, there’s a good chance our tech powers the payments behind the scenes. Our platform helps the most ambitious businesses deliver effortless digital experiences, at scale. If you want to do career-defining work, you’ve come to the right place. We move fast, think globally, and believe great teams are built by hiring exceptional people with conviction, curiosity, and the desire to make an impact. With 20 offices across six continents and London as our HQ, we’re shaping the future of fintech – and we’re just getting started. About the role We are looking for an AI Product & Transformation Lead to build the next generation of AI-enabled ways of working across Legal and Enterprise Risk. Please, note experience within Legal or Risk would be useful, but it is not essential. We are particularly interested in people who combine strong AI product, technical, operational or design instincts with enough domain empathy to build trusted solutions. This is a hands-on AI role for someone who enjoys turning emerging technology into products and capabilities that people genuinely use. You will lead discovery with lawyers, risk professionals, legal operations and business stakeholders, identify high-value opportunities, and turn them into practical AI solutions. You will not be working only at the level of strategy. You will build and ship AI products, agents, automations, workflows and playbooks; test what works with end users; learn quickly; and create the conditions for other people across Legal and Enterprise Risk to build as well. You will be embedded in the Legal and Enterprise Risk organisation and partner closely with Compliance, Technology, Data, Information Security and other enabling functions to scale AI capabilities safely across the business. What you will do Build and scale AI products: - Lead structured discovery with Legal and Enterprise Risk teams to identify high-value AI opportunities, recurring friction, manual work and decision bottlenecks. - Turn real user problems into clear use cases, lightweight prototypes and scalable solutions. - Build, configure or product-manage AI-enabled tools, agents, workflow automations, self-service experiences and knowledge systems. - Take solutions from idea to pilot to adoption, including testing, iteration, documentation and handover. - Balance speed and experimentation with appropriate controls for confidentiality, privilege, data protection, security and legal risk. Help others build products: - Make practical AI-building skills accessible to lawyers, risk professionals and Legal Operations colleagues through hands-on sessions, guides and coaching. - Establish an AI builder community or similar forum for sharing use cases, prompts, prototypes, lessons and reusable components across Legal and Enterprise Risk. Apply AI to improve how work gets done: - Map and redesign workflows across Legal and Enterprise Risk, using AI to improve speed, quality, consistency and capacity. - Create repeatable processes, templates, playbooks and operating rhythms that reduce unnecessary manual effort. - Design better ways to capture, organise, retrieve and reuse organisational knowledge through AI-enabled search, summarisation and assistance. - Identify opportunities to improve intake, triage, matter management, contract workflows, reporting and business self-service. - Establish simple measures of impact, such as time saved, cycle-time reduction, quality improvements, user satisfaction and adoption. Build alignment and momentum - Own a prioritised AI product and use-case pipeline based on user need, value, feasibility, adoption potential and risk. - Bring stakeholders together around clear problems and decisions rather than abstract technology discussions. - Communicate progress, learnings and trade-offs in a way that works for both technical and non-technical audiences. - Build strong relationships with Technology, Data, Information Security, Procurement and other partners needed to deliver safely at scale. - Help Legal and Enterprise Risk leadership make informed choices about AI tools, investment, capability, governance and ways of working. What we are looking for: - Experience building AI products, automation, digital capabilities or technology-enabled ways of working in a complex organisation. - A track record of taking ambiguous problems from discovery through to a practical outcome that people actually use. - Deep practical experience with generative AI, AI agents, workflow automation, knowledge management, no-code or low-code tools, or similar technologies. - Strong user-centred instincts: you listen carefully, understand how work is really done and design for adoption rather than theoretical capability. - Strong judgement about confidentiality, privilege, data protection, security, accuracy and responsible use of AI. - A coaching mindset and the ability to help others become more confident and capable builders. - Curiosity, pragmatism and a bias towards learning by doing. Additional Information Bring all of you to work We create the conditions for high performers to thrive, through real ownership, fewer blockers, and work that makes a difference from day one. Here, you’ll move fast, take on meaningful challenges, and be recognized for the impact you deliver. It’s a place where ambition gets met with opportunity, and where your growth is in your hands. We work as one team, and we back each other to succeed. So whatever your background or identity, if you’re ready to grow and make a difference, you’ll be right at home here. It’s important we set you up for success and make our process as accessible as possible. So let us know in your application, or tell your recruiter directly, if you need anything to make your experience or working environment more comfortable. Life at Checkout.com http://Checkout.com We understand that work is just one part of your life. Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection. Curious about what it’s like to be part of our team? Visit our Careers Page https://www.checkout.com/careers to learn more about our culture, open roles, and what drives us. For a closer look at daily life at Checkout.com http://Checkout.com, follow us on LinkedIn https://www.linkedin.com/company/checkout/life/ and Instagram https://www.instagram.com/checkout_com/

Location: Remote; Seattle, WA; New York, NY; San Francisco, CA Workplace: Remote We are building AI to simulate the world through merging art and science. We believe that world models are at the frontier of progress in artificial intelligence. Language models alone won’t solve the world’s hardest problems – robotics, disease, scientific discovery. Real progress requires models that experience the world and learn from their mistakes, the same way that humans do. And this kind of trial and error can be massively accelerated when done in simulation, rather than in the real world. World models offer the most clear path to general-purpose simulation, changing how stories are told, how scientific progress is made and how the next frontiers of humanity are reached. Our team consists of creative, open minded, caring and ambitious people who are determined to change the world. We aspire to continuously build impossible things and our ability to do so relies on building an incredible team. If you are driven to do the same, we'd love to hear from you. *Titles posted to our careers page are updated regularly to best advertise the role and expected seniority, but internally we have a flat titling system with two types of titles: one for individual contributors and one for people managers. ABOUT THE ROLE *Open to hiring remote across the US — we also have offices in New York, San Francisco, and Seattle. We are looking for a Prototype Researcher to join Runway Labs — our research and exploration team pushing the frontier of AI video and General World Models. You’ll imagine, design, and build experimental experiences that make emerging AI capabilities tangible and communicate a compelling vision for where the technology is heading. This role combines creative thinking, hands-on prototyping, and storytelling. You should be able to develop an original idea, build a working prototype, and shape it into a clear, memorable demonstration. Your work will help people understand new AI systems through experiences they can see, use, and engage with. Working closely with researchers, engineers, and designers, you’ll explore new interfaces and interaction paradigms for AI-generated video, world models, and agentic systems. The focus is on research explorations that express our vision, reveal new possibilities, and strengthen Runway’s position as a full-stack research organization. We’re looking for a motivated self-starter with strong creative judgment, technical fluency, and a portfolio that shows both what you can build and how well you can communicate an idea. WHAT YOU’LL DO - Develop original concepts that explore the possibilities of emerging AI systems, from interactive video and world models to agentic experiences. - Design and build working prototypes that turn research capabilities into engaging, understandable experiences. - Shape each project’s story: what it explores, why it matters, and what it suggests about the future. - Package explorations into polished demos, films, and interactive experiences that communicate our research and vision. - Collaborate with researchers and engineers to understand new capabilities and identify compelling ways to demonstrate them. - Move quickly through experimentation, using prototypes to test ideas and refine both the experience and its narrative. WHAT YOU’LL NEED - A portfolio of original projects that demonstrates creative thinking, design craft, technical execution, and strong storytelling. - The ability to take an idea from an early concept to a working prototype and a compelling presentation. - Hands-on experience building interactive experiences with code, with the judgment to choose the right tools for each experiment. - Strong visual and interaction design skills, with an eye for detail and an instinct for making complex ideas accessible. - Genuine curiosity about AI video, world models, agentic systems, and emerging generative media. - Comfort working in ambiguous research environments, defining your own direction, and learning new tools as the work evolves. - The ability to explain the purpose and potential of your work clearly, through writing, visuals, demos, or film. Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package we provide. There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range. Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates. WORKING AT RUNWAY Great things come from great teams. https://www.youtube.com/watch?v=kwmj4ato2kw&ab_channel=Runway We’d love to hear from you. We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. So regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply. More about Runway - Universal World Simulator https://runwayml.com/world-simulator.html - GWM-1 https://runwayml.com/research/introducing-runway-gwm-1 - Gen-4.5 https://runwayml.com/research/introducing-runway-gen-4.5 - General World Models https://runwayml.com/research/introducing-general-world-models - Robotics SDK https://runwayml.com/research/introducing-runway-gwm-1#robotics-section - Conversational Real-time Agents https://runwayml.com/research/introducing-runway-gwm-1#avatars-section - Runway Studios https://runwayml.com/studios We're excited to be recognized as a best place to work: Crain's https://www.crainsnewyork.com/awards/best-places-work-2023 | InHerSight https://www.inhersight.com/companies/best/city/new-york-city-ny | BuiltIn NYC https://builtin.com/awards/new-york-city/2024/best-places-to-work | INC https://www.inc.com/best-workplaces/2024

Location: Tel Aviv, Israel Workplace: remote About Welocalize  Welocalize, a Welo Global brand, serves localization teams through AI-enabled multilingual content solutions that enable enterprises to operate and scale globally. Welocalize combines AI, automation, and human expertise to support enterprises in more than 300 languages, enabling accurate, culturally aligned, and compliant multilingual content at scale.   Welocalize’s Opal Platform comprises patented technology designed to automate multilingual content and improve workflow performance for enterprises. Opal functions as an agentic system that orchestrates AI, automation, and human expertise to coordinate content workflows across the lifecycle, improving speed, scalability, and operational control for global enterprises. These solutions operate within a secure and compliant environment supported by seven ISO certifications. Welocalize is headquartered in New York with offices worldwide. welocalize.com  MAIN PURPOSE OF JOB   This role involves managing translation and copy-editing tasks, ensuring high-quality linguistic deliverables for assigned projects or accounts. Responsibilities include coordinating with freelancers and agencies, maintaining language resources, resolving terminology queries, and collaborating with clients and internal teams to enhance workflow efficiency. The position also supports broader team efforts through editing, error arbitration, and active participation in quality initiatives. MAIN RESPONSABILITIES The following is a non-exhaustive list of responsibilities and areas of ownership for this role: Performing copy-edit tasks on assigned projects or accounts Performing on-demand translation tasks Taking ownership of deliveries that were translated internally or by external partners for one or more accounts into their target language Preparing, managing and maintaining the language materials (including glossaries, Style Guides, work instruction) up to the quality standards and up to date as required by the account or project Managing project-related queries Ensuring good interaction among team members and resolving questions on terminology and language matters Coordinating with freelancers, agencies and internal linguists on assigned projects or accounts Testing and qualifying new freelancers and vendors as required Developing and training of internal linguists/new and existing freelancers according to the accounts’ and Welocalize’s needs Interacting with clients on linguistic matters as required Participating in the development of new and improved working processes. Propose process improvements. Meet or exceed the KPIs in terms of productivity, on time delivery, quality Achieving the goals set by the team manager REQUIREMENTS Education: University degree in Translation/Applied Languages/Linguistic Studies or equivalent combination of education and experience (University degree in other fields plus 2 years of full time experience in translation. Experience and Skills Fluent in English, both written and spoken Native fluency in Hebrew language Passion for the world of language and technology 0-2 years of experience in translation or creating easy-to-read texts Thorough understanding of the localization process Knowledge of terminology used various subject matters Knowledge of standard CAT tools, e.g. XTM, SDL Studio and issue tracking and query management tools, e.g. JIRA Ability to learn new localization tools and applications quickly Excellent user experience of standard software, such as Windows and Office applications Excellent interpersonal, written and verbal communication skills Ability and willingness to train/teach others and pass on knowledge. Ability to work with tight deadlines Excellent problem solving skills Ability to effectively present information and respond to questions from groups of managers, clients, linguists Ability to solve practical problems and deal with a variety of concrete variables in situations where only limited standardization exists Ability to work in a virtual team

Location: England; Portugal; Spain; Italy; France; Germany 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 seeking an experienced Sales Operations Manager to join our Revenue Operations team who are responsible for optimizing the success of Docker's Sales & GTM teams to accelerate our revenue growth. Your primary focus will be supporting our global Sales organisation, with a focus on EMEA and APAC. You will build and streamline sales processes and systems, design territories and segmentation models, support forecasting and pipeline inspection, manage quota models, and manage projects from conception to release. You will work alongside GTM leadership to define, build and document processes and overall sales strategy and planning, and partner with the dedicated Operations owners for BDR, SE, TAM, Renewals and Channel where your work overlaps with theirs. An ideal candidate is a start-up builder who has experience working with Sales teams and has worked closely with Salesforce, Gong, ZoomInfo, RingLead and LinkedIn Sales Navigator. This role reports to the Director of Sales Operations and is based in EMEA. IN THIS ROLE, YOU WILL - Support the global Sales leadership team, with a focus on EMEA and APAC, in running their business - Design and maintain territory and segmentation models, and document account engagement models, with a focus on EMEA and APAC - Support forecasting processes and pipeline inspection, working with Sales leadership to ensure good forecast hygiene and accuracy in Gong - Help manage GTM quota and compensation models - Assist in the fiscal year planning cycle - Partner with the dedicated Operations owners for BDR, SE, TAM, Renewals and Channel to ensure aligned processes, quotas and territories across teams - Manage and prioritise implementation of key projects including scoping of requirements, writing business requirement documents, collaborating with cross functional teams, and working alongside the business systems team to build, test and roll out new processes - Manage and maintain the sales technology stack, ensuring data integrity and system efficiency, and owning vendor relationships - Optimize the sales process and ensure a smooth deal flow from lead generation through to deal closure and repeat renewal - Identify and implement continuous process improvements to enhance productivity and performance - Analyse data to identify trends and areas of opportunity, and provide insights and recommendations to leadership - Cultivate strong relationships with key stakeholders across various GTM departments - Contribute to efforts around data quality, integrity, standardisation, and controls that ensure accurate reporting and forecasting _______________________________________________________________________ REQUIREMENTS - 4+ years of experience in Sales Operations - Experience working for a high growth software/SaaS company - Prior experience in territory and segmentation design, quota modelling and fiscal year planning - Prior experience in forecasting and pipeline management - Knowledgeable in managing projects including writing project plans, business requirement documents, business summaries and user acceptance testing - Track record of defining operational processes and collaborating with technology teams for successful implementation of projects - Exceptional communication and interpersonal skills - Technically savvy with Google Suite, Salesforce, Gong, ZoomInfo, RingLead and LinkedIn Sales Nav - Ability to think strategically and translate business needs into actionable plans within a fast paced environment - Comfortable and familiar with cross-functional collaboration - Able to work autonomously, with a constant focus on building for the future - Energy, enthusiasm, and love of building Additional attributes - Experience in one or more of BDR, Renewals, TAM, SE, SA, Customer Experience, Channel or Provisioning operations - Strong analytical skills with experience in data analysis and reporting tools - Experience in building AI agents - Comfortable with new technologies and ability to communicate with those who are tech-savvy _______________________________________________________________________ WHAT TO EXPECT IN THE FIRST 30 DAYS - You will be welcomed with a first-in-class onboarding experience that includes equipment setup, a sweet swag package, and a collaborative training program - You will learn how to navigate through award-winning sales tools such as Salesforce, Gong, ZoomInfo, RingLead, LinkedIn Sales Navigator, and Docker - Identify areas of improvement in our systems and processes that will assist the Sales team to be more successful - Review existing processes and metrics to identify areas of improvement - Begin building strong cross functional relationships WHAT TO EXPECT IN THE FIRST 60 DAYS - Begin taking on projects and working with the relevant cross functional teams to scope and build - Take ownership of tools within the tech stack and start scoping refinements and improvements - Build documentation to support new and existing processes - Start implementing improvements to assist with data integrity and accuracy WHAT TO EXPECT IN THE FIRST 90 DAYS - Assist in scoping future quarter priority projects - Have full ownership of various key projects related to the Sales & GTM org and the supporting systems - Build scalable and repeatable processes to assist the Sales & GTM org Visa sponsorship: Not available for this role. _______________________________________________________________________   Compensation & Equity Europe: €100,000 – €124,000 base England: £85,000 – £105,000 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: Lisbon, Portugal Joom is a global cross-border marketplace where millions can find anything they want at fair prices. Joom helps consumers to make shopping easy and entertaining and provides access to interesting and unique goods from around the world. Joom is one of the key businesses of Joom Group, an international group of tech-centric group of e-commerce companies founded in 2016 in Latvia. Joom Group also includes other businesses: JoomPro, the first and only end-to-end cross-border B2B marketplace; JoomPulse, an AI analytics tool for Mercado Livre sellers; and Onfy, a pharmaceutical marketplace in Germany. Joom Group has offices in Latvia, China, Germany, and Brazil, with its headquarters in Lisbon, Portugal. We work as one international team, sharing knowledge and collaborating across countries, businesses and products. We’re looking for an analyst for Order Experience – the area responsible for the user experience from the moment an order is placed: payment and the user’s journey in the app after purchase. Here, analytics directly affects both the user experience and the business economics: how easy it is to pay for a purchase, how quickly a customer’s issue gets resolved, and how much that resolution costs the company. You’ll work with the Product, Payments, Billing, and Support teams: together with managers, engineers, support specialists, and the finance team, you’ll identify opportunities for improvement, test hypotheses, and see them through to implementation. To do this, we have a mature internal A/B testing platform, a set of MCP tools and AI agents for analytical tasks, high-quality data in BigQuery and Spark, and transparent data preparation processes built on Airflow and dbt. This role is a great fit for someone who enjoys proactively proposing changes, taking part in setting priorities, and seeing the results of their work in the product and in business metrics. Responsibilities Improving checkout and the post-purchase experience. Identifying the reasons that prevent users from completing payment, and testing hypotheses that make this journey simpler Developing AI support. Working with the team to improve AI Chat: finding scenarios for automation, and assessing the quality of user problem resolution and the impact on the business Improving the support contact experience. Researching the user journey from ticket creation to problem resolution, agent performance, and refund decision-making Increasing operational efficiency. Forecasting support workload, improving the automatic refund model, and finding opportunities to reduce costs while maintaining service quality Designing and analyzing A/B tests. Helping teams choose metrics and experiment designs, interpret results, and automate analysis. Developing the metrics system. Making payments, billing, and support metrics clear and useful for decision-making, and investigating changes and anomalies Influencing team priorities. Identifying growth opportunities, estimating the potential impact of initiatives, and helping decide where it’s worth investing time Enabling teams to work with data independently. Preparing data for AI tools and automating repetitive analysis so that colleagues can answer basic questions on their own Requirements Strong SQL and Python skills for data analysis and automation A solid understanding of mathematical statistics and hands-on experience with A/B testing – from forming a hypothesis to drawing conclusions and making recommendations Experience applying AI in analytical work: the ability to integrate it into everyday tasks, verify its outputs, and find new opportunities for automation Independence and an interest in the business: the ability to dig into a problem, propose hypotheses, and connect analysis results to a specific decision The ability to explain complex topics clearly to colleagues with different backgrounds — from engineers to support, finance, and legal specialists The ability to manage work for multiple stakeholders: making priorities transparent, agreeing on scope and timelines, and justifiably deprioritizing less important tasks Preferred Experience in e-commerce, payments, support, or operations automation Building your own AI tools and agents for data analysis We offer Compensation package: base salary and performance-based bonuses Office-first: flexible hours with a possibility to work remotely 52 days per year Care & Wellbeing: health insurance (including dental care) for employees and their children, daily meal allowance, and 100% paid sick leave Relocation Support: full assistance for a smooth relocation for the employees and their family AI-first approach: licenses and access to a wide range of AI tools Team & Growth: collaboration with colleagues across Portugal, Brazil, Latvia and China, with opportunities for promotions, professional trainings, and English & Portuguese courses Community & Engagement: annual team building activities, knowledge-sharing workshops, and a strong sense of team work Before applying for the above position please review our Candidate Privacy Notice here . By responding to the vacancy, you acknowledge that you have read our Privacy notice.