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Location: Bengaluru WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform. WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement. Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it. Location: Bangalore, India The Role: We are seeking an exceptionally talented Executive Assistant and Office Manager to join our team. The ideal candidate will have exceptional organizational and analytical skills, attention to detail and the ability to thrive in a fast-paced and dynamic environment. At WorldQuant, we believe in work/life balance, but we also have a 24/7 mentality, and the Executive Assistant/Office Manager must be able to handle multiple priorities, often with little notice. Job responsibilities include, but are not limited to the following: Executive Assistance: Manage complex calendar including scheduling, rescheduling and canceling meetings as needed across multiple time zones while maintaining meeting cadences. Coordinate and manage all aspects of travel arrangements, including domestic and international air travel, ground transportation, accommodations and visas. Communicate effectively and efficiently with other Executive Assistants ensuring all needs are met and schedules are aligned. Maintain confidentiality and discretion in all matters pertaining to the individual and the organization. Develop and maintain a strong understanding of the organization’s goals, priorities and key stakeholders to ensure effective communication and coordination. Create travel expense reports using Workday Expense Office Management: Lead office facilities and operations for the Bangalore office Assist Director of Facilities with improvement plans and projects Be responsible for the office snack and beverage program. Stock the kitchen breakroom daily. Liaison to the property manager and onsite contact for all vendors Provide first level technical support, organize, and inventory all IT equipment Coordinate desk set-ups for new hire and coordination of moves Organize team building activities for the local team What You’ll Bring: Bachelor’s degree required Minimum of 7 years’ experience providing executive-level support to a senior executive is required Experience in sophisticated calendar management across multiple time zones Strong organizational and planning skills, with the ability to manage tasks and priorities effectively Experience cultivating a positive office and employee experience Excellent written and verbal communication skills High level of proficiency in Microsoft Office and other relevant software Ability to maintain a high level of confidentiality and discretion Demonstrate a 24/7 mentality while maintaining a work/life balance Be a great teammate with a strong willingness to participate and help others By submitting this application, you acknowledge and consent to terms of the WorldQuant Privacy Policy. The privacy policy offers an explanation of how and why your data will be collected, how it will be used and disclosed, how it will be retained and secured, and what legal rights are associated with that data (including the rights of access, correction, and deletion). The policy also describes legal and contractual limitations on these rights. The specific rights and obligations of individuals living and working in different areas may vary by jurisdiction. Copyright © 2025 WorldQuant, LLC. All Rights Reserved. WorldQuant is an equal opportunity employer and does not discriminate in hiring on the basis of race, color, creed, religion, sex, sexual orientation or preference, age, marital status, citizenship, national origin, disability, military status, genetic predisposition or carrier status, or any other protected characteristic as established by applicable law.

Location: United States; Remote Workplace: remote About Welo Life Sciences  Welo Life Sciences, a Welo Global brand, is a specialized language and technology partner serving pharmaceutical, CRO, and medical device organizations operating in regulated global markets. We deliver regulator-ready translation, linguistic validation, and localization solutions that support clinical trials, pharmacovigilance, regulatory affairs, labeling, and global commercialization. Our approach combines subject matter expertise with ISO-certified quality processes and technology-enabled workflows designed to integrate seamlessly into life sciences operations. With extensive experience supporting global product development and post-market requirements, Welo Life Sciences helps organizations accelerate timelines, protect data integrity, and maintain compliance across languages and regions. All solutions are delivered within a secure, audit-ready framework supported by seven ISO certifications.  welolifesciences.com About the Role We are looking for experienced French (France) to English (GB and US) linguists to support a high-volume, fast-turnaround pharmacovigilance program for a leading global pharmaceutical company. Work involves translating and reviewing safety and regulatory content, including adverse event reports and related clinical documentation, with strict turnaround times and deadlines.  This is an ongoing freelance engagement with daily volumes. Key Responsibilities Translate pharmacovigilance and/or clinical-regulatory content from French into English. Perform Machine Translation Post-Editing (MTPE) on machine-translated safety content. Perform Copy Edit review of translated/post-edited content for accuracy, tone, and consistency. Meet strict, non-extendable turnaround times on time-sensitive safety content. Occasionally support Transcription tasks, retyping scanned or handwritten PDFs into Word for downstream translation (requires a personal Gmail account for client platform access). Work within the client's CAT tool environment (XTM) following project-specific setup instructions. Requirements Degree in translation, linguistics or languages studies or an equivalent degree that includes significant  translation training. Minimum 2 years of professional experience translating Life Sciences documents. Experience translating pharmacovigilance content preferred: SAE/AE (serious and non-serious adverse events), PSURs, SUSARs, ICSRs, DSURs, Risk Management Plans (RMP). Alternatively, experience translating regulatory or clinical documents: medical reports, protocols, synopses, ICF, discharge reports, study reports, SmPC, PIL, or medical literature. Great daily availability: this program requires consistent daily capacity and is not suited to part-time schedules. Strong French proficiency; native level of English preferred but not mandatory. Experience with XTM or similar CAT tools. Reliable, deadline-driven, and flexible, able to commit to fast turnaround times with no extensions. Nice to Have Healthcare professional (HCP) background: nurse or physician preferred, especially with emergency room experience. Other HCP backgrounds also welcome. Availability to cover US business hours. Willingness to commit to daily and/or weekend availability. Tools & Systems CAT tool: XTM, client-provided license; onboarding and connector setup provided after onboarding. A personal Gmail account is required for linguists supporting Transcription tasks, for access to a client platform. Before Applying Please note there will be an assessment as part of our onboarding and quality procedure, please only apply if you're willing to complete our assessment.   Please ensure your latest English CV accurately reflects your Life Sciences and Medical translation experience, including years of experience specifically in Life Sciences, the document types you’ve translated, CAT tool you've used, and relevant details also your contact information (email AND phone number).   Beware of recruitment scams. Welo Global and all of its brands never recruit through direct messages on social media or WhatsApp, and never asks candidates to pay money for a job. Official emails come only from @welocalize.com, @welodata.ai, or @hire.lever.co, and all applications go through jobs.lever.co/weloglobal. Be wary of unexpected offers, generic email addresses (such as Gmail or Yahoo), and requests for fees or sensitive information. Report suspicious messages and learn more: Recognizing Scams and Confirming Legitimate Welocalize Communications – Welo Global   We look forward to receiving your application!   Job Reference: #LI-JC1

Location: Remote, Singapore GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role As a Customer Success Architect, you'll serve as a trusted strategic advisor and technical authority to some of GitLab's most complex and high-value Enterprise and Government customers across Singapore. In this role, you will be driving and shaping how our largest customers adopt GitLab's intelligent DevSecOps platform to achieve their business goals and realise meaningful, long-term outcomes. You will be working closely with customers after the sale to turn pre-sales command plans into clear success plans, guide them through their customer journey, and drive adoption, utilization, and technical maturity. You will also be directly influencing renewal and expansion decisions through your post-sales engagements with executive-level decision makers in the account. This is a senior individual-contributor role for someone who has already led high-stakes pre or post sales customer engagements in large complex accounts across multiple industry domains to drive quantifiable business outcomes..The individual is comfortable operating with  ambiguity, and can credibly advise VP- and C-level stakeholders on business transformation, application modernization, platform strategy, architecture, and organizational DevSecOps transformation. You'll also be shaping playbooks and best practices, and acting as an escalation point for the team's most technically or politically complex situations. Reporting into the APJ Customer Success organization, you'll own a portfolio of GitLab's most strategic enterprise and Government accounts, act as the executive-level technical liaison for these accounts, and drive cross-functional resolution of their highest-priority issues — coordinating and, where needed, directing the efforts of Product Management, Engineering, Sales, Professional Services, and Support. You'll bring deep technical expertise in CI/CD, cloud platforms, multi-cloud, hybrid architecture and enterprise DevSecOps practices.You will use that expertise to shape customers' long-term platform strategy, apply best practices, configure GitLab for their environments and stay current with platform capabilities. In your first year, success will look like establishing yourself as the trusted senior advisor across a portfolio of flagship accounts, building strong relationships with key stakeholders, materially improving and increasing platform maturity, leading retention and renewal conversations, increasing customer satisfaction across your portfolio and contributing to the broader CSA team's technical standards and ways of working. Some examples of our projects: Turning pre-sales command plans into measurable customer success plans that align technical adoption with business outcomes Leading and driving the technical strategy behind a large-scale DevSecOps platform consolidation for a regulated Enterprise account or Government, including guiding enterprise customers on GitLab best practices across CI/CD, DevSecOps, cloud architecture, TCO, applying compliance and architecture as well as business case presentations to customer executives Owning end-to-end resolution of a critical, multi-team escalation for a flagship account — driving root cause analysis, coordinating Engineering/Product/Support, and personally briefing customer executives on remediation What you’ll do Owns a book of Enterprise and Government customers and drive adoption, retention, expansion, and overall satisfaction through ongoing strategic, business and technical engagement. Serves as the senior post-sales strategic, business and technical advisor for a portfolio of GitLab's most complex, highest-value enterprise and Government accounts, shaping multi-year platform and DevSecOps strategy in partnership with customer executives, coordinating responses to questions, issues, and escalations across Support, Product Management, Sales, and Professional Services. Translates ambiguous, high-stakes business outcomes into rigorous Customer Success Plans that are regularly reviewed with customer stakeholders. The Customer Success Plans contain clearly defined business outcome related goals, quantifiable benefits, realistic adoption milestones and remediation actions. Prepares executive-ready reporting conducted on a regular basis with clear accountability for outcomes that demonstrate impact on adoption, retention, and expansion of GitLab products and services. Provides deep technical guidance on enterprise-scale CI/CD architecture, DevSecOps maturity models, platform consolidation strategy, including advising on complex trade-offs (e.g., multi-cloud vs. hybrid, self-managed vs. GitLab Dedicated, etc). Owns the full lifecycle of your account portfolio's adoption, retention, and expansion outcomes, with direct accountability for the commercial and technical health of flagship relationships. Leads end-to-end resolution of critical, cross-functional account escalations, ensuring root causes are identified, follow-up actions are owned, holding internal teams accountable to timelines, driving the root cause analysis and personally managing executive communication and risk. Leads end-to-end resolution of critical, cross-functional account escalations, ensuring   root causes are identified, follow-up actions are owned, holding internal teams accountable to timelines, driving the driving root cause analysis and personally managing executive communication and risk. Designs and delivers technical enablement programs at scale, identifying systemic maturity gaps across a portfolio and building the roadmap (not just individual sessions) that closes them. Advises key customers stakeholders on cloud and platform architecture decisions with enterprise-wide impact, which includes  multi-region deployment strategy, secrets management architecture and network/security topology for regulated environments. Guides customers on GitLab platform best practices including Git workflows, branching strategies, CI/CD pipeline design, DevSecOps adoption patterns, and security scanning configuration. Provides hands-on technical enablement and onboarding, including education on GitLab features, releases, and use cases, and identification of training and maturity opportunities aligned to customer goals. Engages customers on cloud platform architecture decisions relevant to their GitLab deployment — including self-managed vs. GitLab Dedicated, Runner configuration and auto-scaling, secrets management, and network topology considerations. Advises customers on DevSecOps consolidation value — articulating the TCO, compliance, and developer experience case for platform consolidation over fragmented toolchains. Collaborates with Professional Services, Sales, and internal teams to identify expansion opportunities, recommend enablement interventions, and ensure a seamless customer journey from onboarding through renewal. What you’ll bring Must be a Singapore Citizen and based in Singapore Mandatory English language proficiency Hands-on experience building or owning CI/CD pipelines end to end, including pipeline as code, multi-stage design, artifact management, and troubleshooting in real-world environments. A career built across different direct customer facing engagement roles such as Technical Account Management, Technical Solution Sales, Pre-sales, Business Development, Consulting, Professional services across customers in different industry vertical domains like Government, Banking, Financial and Insurance Services, Manufacturing, Telecommunications, engagement with multiple technology and platform transition experience such as from on-premise deployments to Cloud, application modernization experience from monolith to microservices,  from Waterfall to DevOps to DevSecOps and others to provide the depth and breadth of experience to advise customers on transformations and deployments that you've already seen play out elsewhere across your multiple customer engagements, more than once. A long-standing demonstrated track record as the person other senior people call when an account is in genuine crisis or  gained across a sustained career of Enterprise or Government account ownership Credible judgment earned by personally owning the outcomes of dozens of complex enterprise customer account engagements over the course of a career, including situations with real commercial, technical, and reputational stakes A consistent track record of being trusted by customer executives and internal leadership to operate with minimal oversight in ambiguous and high-pressure situations Deep,hands-on expertise in DevSecOps practices, including shift-left security and integrating SAST, DAST, SCA, and container scanning into development workflows as well as architecting and troubleshooting CI/CD pipelines at enterprise scale Expert-level understanding of Git, merge request workflows and delivery lifecycles, having personally guided organizations through branching strategies such as trunk-based development and GitFlow, and modern software delivery lifecycles. Demonstrated experience with infrastructure as code, GitOps, Cloud and on-premises environments with relevant experience that support GitLab deployments, including networking, identity and access management (IAM), secrets management, and deployment considerations for regulated or high-security environments Demonstrated experience partnering with customers to turn business requirements into actionable success plans, with measurable goals and verifiable business outcomes that are suitable for executive-level quarterly reporting. Demonstrated ability to drive product adoption, dive deep into the accounts assigned and scale out the level of influence in the account. Demonstrated ability to build and defend executive-level business cases (TCO, compliance, risk) that influence budget and platform strategy decisions Demonstrated ability to operate with autonomy in ambiguous, high-stakes situations with strong communication, stakeholder management, and organizational experience  to manage a portfolio of enterprise and Government customers, balance multiple priorities, guide escalations, and coordinate effectively across customer teams and internal cross functional teams to resolve issues appropriately and in a timely manner. About the team The Customer Success Architect team is part of GitLab's Customer Experience organization. It supports strategic enterprise and Government accounts across the APJ region through hands-on technical guidance, consultative partnership, and practical problem solving. We act as a reliable technical advisor and an important link between customers and the broader GitLab ecosystem. We bring platform, cloud, and DevSecOps depth to customer engagements and work closely with Product Management, Engineering, Sales, Support, and Professional Services to address questions, guide customers through technical choices, navigate escalations, and help them realize measurable value from GitLab. Composed of team members working remotely across time zones, we operate asynchronously to support a focused set of strategic accounts across the region. It's a team well suited for people who enjoy solving complex customer challenges, building long-term partnerships, and helping enterprise organizations grow their maturity with GitLab in practical, measurable ways. How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Location: Hybrid - San Francisco, New York City, Austin About Vercel: Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience. Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide. About the role As an Integrated Campaigns Manager, you’ll plan and run global, multi-channel campaigns that drive awareness, adoption, and pipeline for Vercel’s platform and developer tools. Your campaigns will pair developer-first storytelling with enterprise messaging and cover the full funnel, from first touch to closed revenue. You’ll work with Product Marketing, Growth, Digital, Field Marketing, Strategic Events, and Sales to turn separate channel efforts into one integrated motion. In your first 6 to 12 months, you’ll own one of our major integrated campaigns and help plan and execute Vercel’s next big plays for the year. This is a hybrid role with 3 in-office days per week in San Francisco, New York City, or Austin. What you'll do Own the strategy, planning, and execution of global integrated campaigns, from big idea through channel activation, measurement, and iteration Translate product and business priorities into campaign narratives and messaging for developers, full-stack teams, product leaders, and enterprise buyers Orchestrate paid, owned, and earned programs with Growth, Digital, and Performance Marketing so every touchpoint tells one story Partner with Product Marketing, Field Marketing, Strategic Events, and Sales to bring their work into each campaign as one cohesive, integrated plan Measure and report campaign performance across awareness, adoption, and pipeline, and constantly iterate based on campaign results What you need 4+ years of business-to-business (B2B) marketing experience, 2+ years leading integrated or demand generation campaigns at a developer tools, cloud infrastructure, or technical software as a service (SaaS) company Owned full-funnel campaigns, from first touch to closed revenue, with pipeline and revenue results you can cite Experience owning the reporting & presentation of campaign return on investment (ROI) to marketing leadership Bonus if you Have experience with briefing management platforms and CRM reporting (Salesforce) Have worked closely with developer or infrastructure products Have previously built an executive marketing programs Benefits & Compensation: Competitive compensation package, including equity. Inclusive Healthcare Package. Learn and Grow - we provide mentorship and send you to events that help you build your network and skills. Flexible Time Off. We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed. The San Francisco, CA base pay range for this role is $133,000 - $163,000. Actual salary will be based on job-related skills, experience, and location. Compensation outside of San Francisco may be adjusted based on employee location. The total compensation package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program depending on the role. Your recruiter can share more details during the hiring process. #LI-KS1 Disclosures: Privacy: Please review our Job Applicant Privacy Policy for more information on how we handle your data. Equal Opportunity: Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.

Location: Denver, Colorado, United States, AMER From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About the role Fivetran + dbt Labs is hiring a Senior Manager to lead the Product Design team responsible for dbt Labs. This role reports to the Director of Product Design. This is an exciting time to join! As Fivetran and dbt Labs come together, you will help shape a coherent product experience, guide the design team through change, and influence the future of AI-powered data products. You will join a strong and talented design organization whose members care deeply about their craft, the practitioners they serve, and one another. This is a people management and product leadership role for a design leader who wants to shape technical data products at scale. You will manage and develop a team of product designers, shape the UX strategy for dbt products, and partner with Product and Engineering leaders to define how data teams build, transform, govern, and trust their data. You will lead through strategy, coaching, direction, and cross-functional partnership. What you'll do Lead the dbt product design team You will manage and coach a team of product designers who work across dbt platform and CLI-based products. Designers own the full design process from problem definition and research to UX/UI and partnering with eng/PM through delivery. You will build a culture where designers feel supported, challenged, and empowered to do thoughtful, high-quality work for deeply technical users. You will set clear expectations, give actionable feedback, support career growth, and create the conditions for strong design craft. Own UX strategy for dbt You will define and drive UX strategy across dbt’s product experience. You will identify the highest-impact experience opportunities, connect design priorities to product outcomes, and partner with Product and Engineering leadership as a strategic peer in roadmap and product direction conversations. Provide design direction for technical data products You will set direction for design work across complex workflows used by technical practitioners. You do not need to be an engineer, but you do need enough technical fluency to understand the domain, evaluate tradeoffs, and partner credibly with engineering leaders. You should be comfortable discussing data workflows, ELT, analytics engineering, developer tools, and infrastructure-oriented product experiences. Shape AI and agentic product experiences You will lead design strategy for AI-powered and agentic experiences within dbt. This requires more than adding AI features to existing workflows. You will help the team design systems that make AI assistance understandable, useful, and safe for high-stakes technical work. As dbt builds experiences where both humans and AI agents interact with the same data infrastructure, you will also think about how product surfaces need to work for both personas. Help integrate Fivetran and dbt Labs design You will play an important role in co-creating a unified product experience and design culture. This is a change-leadership role. You will partner with the Director of Product Design to merge systems, processes, and culture. You will help designers navigate a new organizational context, build strong cross-functional relationships, and create clarity during a period of product and company evolution. Build an AI-native design operating model You will operationalize AI across the design lifecycle (from research synthesis and ideation to prototyping, documentation, and design QA). You will establish shared workflows, quality standards, and review practices that help the team move faster without compromising product quality or consistency. In partnership with the Director of Product Design and Product and Engineering leadership, you will also define cross-functional standards for when AI-generated work requires design review, ensuring clear expectations for human oversight, quality, and continuous improvement. What we're looking for Required experience You have 8+ years of product design experience and at least 5 years managing product designers. Strong people management skills, including coaching, performance development, direct feedback, and team culture building. Strong cross-functional leadership with Product, Engineering, Research, Data, Marketing, and executive stakeholders. Deep care for craft, with a leadership style focused on direction, critique, strategy, and coaching rather than acting as the primary IC designer. Designing for, or leading teams that design for, technically complex products such as ELT, data infrastructure, analytics engineering, developer tools, cloud platforms, data governance, observability, or adjacent enterprise infrastructure products. Designing AI-powered or agentic product experiences. You understand the difference between a lightweight AI feature, a copilot, and an agentic workflow. Experience operationalizing AI workflows for product design teams that goes way beyond AI prototyping. You have defined how designers use AI across the design lifecycle and have established the workflows, standards, review practices, and quality thresholds needed to make AI-assisted work effective at team scale. Owning UX strategy for a meaningful product area. You can show how your design strategy influenced product direction, not just how your team delivered screens. Strong technical fluency. You can reason about complex systems, understand engineering constraints, and discuss tradeoffs with Product and Engineering partners. Experience designing for expert technical users such as data engineers, analytics engineers, software engineers, platform teams, or security teams. #LI-DJ1 #LI-Hybrid The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role.  Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process. Denver Pay Range $201,765 — $252,206 USD Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

Location: New York WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW Harvey is building the AI platform trusted by the world’s leading law firms and enterprises. Our infrastructure is the foundation that powers every customer interaction, every model inference, and every production workload. We’re looking for a Production Engineer to help build and operate Harvey’s core compute and networking infrastructure, Kubernetes platform, workflow orchestration platform, and production infrastructure foundations. You’ll work on the systems that enable engineering teams to move quickly and operate reliable services at scale. In this role, you’ll improve the reliability, scalability, security, and efficiency of Harvey’s infrastructure platform. You’ll solve complex production challenges across compute fleet management, capacity planning, infrastructure automation, and production operations. You’ll partner closely with Product Engineering, Security, AI Infrastructure, and Platform teams to ensure our infrastructure scales with Harvey’s rapid growth. At Harvey, we value Decisiveness, Simplicity, and the belief that Job’s Not Finished. We move quickly, prioritize clarity, and continuously raise the bar for engineering excellence. WHAT YOU'LL DO INFRASTRUCTURE ENGINEERING & TECHNICAL LEADERSHIP - Design, build, and operate the production infrastructure that powers Harvey’s products and AI workloads. - Drive technical direction across compute infrastructure, networking, Kubernetes, workflow orchestration, and production operations. - Lead complex, cross-functional technical initiatives that improve reliability, scalability, security, operational efficiency, and infrastructure cost. - Partner with Product Engineering, Security, AI Infrastructure, and Platform teams to translate product and business requirements into resilient infrastructure solutions. - Establish reusable patterns, tooling, and paved paths that help engineering teams ship and operate production services safely. - Raise the engineering bar through thoughtful design reviews, clear technical documentation, operational rigor, and mentorship. INFRASTRUCTURE FOUNDATION & PRODUCTION OPERATIONS - Build and operate Harvey’s global compute and network infrastructure, ensuring high availability, scalability, reliability, and performance. - Improve compute utilization, performance, and service availability while supporting rapidly growing AI workloads. - Develop capacity models, demand forecasts, and fleet lifecycle automation to help infrastructure scale efficiently with business growth. - Operate and continuously improve Harvey’s Kubernetes platform, including cluster provisioning, upgrades, networking, monitoring, reliability, performance, and operational automation. - Drive infrastructure cost efficiency through capacity management, resource rightsizing, workload optimization, and utilization monitoring. - Build secure infrastructure foundations, including identity and access management, network isolation, secrets management, auditing, and compliance controls. - Develop scalable Infrastructure-as-Code and automation frameworks using technologies such as Terraform and Pulumi. - Improve observability, monitoring, alerting, incident response, and operational readiness across the infrastructure platform. - Participate in the on-call rotation, lead incident response when needed, and turn production learnings into durable engineering improvements. WHAT YOU HAVE - 5+ years of software, infrastructure, site reliability, or production engineering experience. - Deep experience building and operating large-scale cloud infrastructure on AWS, Azure, or Google Cloud Platform. - Strong hands-on experience operating Kubernetes in production, including cluster lifecycle management, networking, and reliability. - Experience building and operating distributed systems with strong reliability, scalability, and performance characteristics. - Experience with infrastructure automation and Infrastructure-as-Code using tools such as Terraform or Pulumi. - Strong understanding of compute infrastructure, networking, capacity planning, fleet management, and production operations. - Experience designing and operating observability systems, including monitoring, logging, alerting, and incident response. - Strong understanding of infrastructure security, including IAM, network security, secrets management, and compliance best practices. - A track record of driving complex, cross-functional technical initiatives and influencing engineering decisions without relying on formal authority. - Excellent communication skills and the ability to explain technical concepts clearly to engineering partners and other stakeholders. - A systems-thinking mindset and a passion for building simple, reliable, and scalable infrastructure platforms. NICE TO HAVE - Experience supporting AI/ML or LLM infrastructure at scale. - Experience operating GPU fleets, high-performance compute infrastructure, or large-scale capacity planning. - Experience with multi-cloud infrastructure or hybrid cloud environments. - Experience building internal platforms or developer tooling that improves engineering velocity and production safety. COMPENSATION $190,000 - $280,000 USD DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74. #LI-AN2 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: New York Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW Harvey is building the AI platform trusted by the world’s leading law firms and enterprises. Our infrastructure is the foundation that powers every customer interaction, every model inference, and every production workload. We’re looking for a Production Engineer to help build and operate Harvey’s core compute and networking infrastructure, Kubernetes platform, workflow orchestration platform, and production infrastructure foundations. You’ll work on the systems that enable engineering teams to move quickly and operate reliable services at scale. In this role, you’ll improve the reliability, scalability, security, and efficiency of Harvey’s infrastructure platform. You’ll solve complex production challenges across compute fleet management, capacity planning, infrastructure automation, and production operations. You’ll partner closely with Product Engineering, Security, AI Infrastructure, and Platform teams to ensure our infrastructure scales with Harvey’s rapid growth. At Harvey, we value Decisiveness, Simplicity, and the belief that Job’s Not Finished. We move quickly, prioritize clarity, and continuously raise the bar for engineering excellence. WHAT YOU'LL DO INFRASTRUCTURE ENGINEERING & TECHNICAL LEADERSHIP - Design, build, and operate the production infrastructure that powers Harvey’s products and AI workloads. - Drive technical direction across compute infrastructure, networking, Kubernetes, workflow orchestration, and production operations. - Lead complex, cross-functional technical initiatives that improve reliability, scalability, security, operational efficiency, and infrastructure cost. - Partner with Product Engineering, Security, AI Infrastructure, and Platform teams to translate product and business requirements into resilient infrastructure solutions. - Establish reusable patterns, tooling, and paved paths that help engineering teams ship and operate production services safely. - Raise the engineering bar through thoughtful design reviews, clear technical documentation, operational rigor, and mentorship. INFRASTRUCTURE FOUNDATION & PRODUCTION OPERATIONS - Build and operate Harvey’s global compute and network infrastructure, ensuring high availability, scalability, reliability, and performance. - Improve compute utilization, performance, and service availability while supporting rapidly growing AI workloads. - Develop capacity models, demand forecasts, and fleet lifecycle automation to help infrastructure scale efficiently with business growth. - Operate and continuously improve Harvey’s Kubernetes platform, including cluster provisioning, upgrades, networking, monitoring, reliability, performance, and operational automation. - Drive infrastructure cost efficiency through capacity management, resource rightsizing, workload optimization, and utilization monitoring. - Build secure infrastructure foundations, including identity and access management, network isolation, secrets management, auditing, and compliance controls. - Develop scalable Infrastructure-as-Code and automation frameworks using technologies such as Terraform and Pulumi. - Improve observability, monitoring, alerting, incident response, and operational readiness across the infrastructure platform. - Participate in the on-call rotation, lead incident response when needed, and turn production learnings into durable engineering improvements. WHAT YOU HAVE - 10+ years of software, infrastructure, site reliability, or production engineering experience. - Deep experience building and operating large-scale cloud infrastructure on AWS, Azure, or Google Cloud Platform. - Strong hands-on experience operating Kubernetes in production, including cluster lifecycle management, networking, and reliability. - Experience building and operating distributed systems with strong reliability, scalability, and performance characteristics. - Experience with infrastructure automation and Infrastructure-as-Code using tools such as Terraform or Pulumi. - Strong understanding of compute infrastructure, networking, capacity planning, fleet management, and production operations. - Experience designing and operating observability systems, including monitoring, logging, alerting, and incident response. - Strong understanding of infrastructure security, including IAM, network security, secrets management, and compliance best practices. - A track record of driving complex, cross-functional technical initiatives and influencing engineering decisions without relying on formal authority. - Excellent communication skills and the ability to explain technical concepts clearly to engineering partners and other stakeholders. - A systems-thinking mindset and a passion for building simple, reliable, and scalable infrastructure platforms. NICE TO HAVE - Experience supporting AI/ML or LLM infrastructure at scale. - Experience operating GPU fleets, high-performance compute infrastructure, or large-scale capacity planning. - Experience with multi-cloud infrastructure or hybrid cloud environments. - Experience building internal platforms or developer tooling that improves engineering velocity and production safety. COMPENSATION $231,000 - $340,000 USD DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74. #LI-AN2 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: San Francisco Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW Harvey is building the AI platform trusted by the world’s leading law firms and enterprises. Our infrastructure is the foundation that powers every customer interaction, every model inference, and every production workload. We’re looking for a Production Engineer to help build and operate Harvey’s core compute and networking infrastructure, Kubernetes platform, workflow orchestration platform, and production infrastructure foundations. You’ll work on the systems that enable engineering teams to move quickly and operate reliable services at scale. In this role, you’ll improve the reliability, scalability, security, and efficiency of Harvey’s infrastructure platform. You’ll solve complex production challenges across compute fleet management, capacity planning, infrastructure automation, and production operations. You’ll partner closely with Product Engineering, Security, AI Infrastructure, and Platform teams to ensure our infrastructure scales with Harvey’s rapid growth. At Harvey, we value Decisiveness, Simplicity, and the belief that Job’s Not Finished. We move quickly, prioritize clarity, and continuously raise the bar for engineering excellence. WHAT YOU'LL DO INFRASTRUCTURE ENGINEERING & TECHNICAL LEADERSHIP - Design, build, and operate the production infrastructure that powers Harvey’s products and AI workloads. - Drive technical direction across compute infrastructure, networking, Kubernetes, workflow orchestration, and production operations. - Lead complex, cross-functional technical initiatives that improve reliability, scalability, security, operational efficiency, and infrastructure cost. - Partner with Product Engineering, Security, AI Infrastructure, and Platform teams to translate product and business requirements into resilient infrastructure solutions. - Establish reusable patterns, tooling, and paved paths that help engineering teams ship and operate production services safely. - Raise the engineering bar through thoughtful design reviews, clear technical documentation, operational rigor, and mentorship. INFRASTRUCTURE FOUNDATION & PRODUCTION OPERATIONS - Build and operate Harvey’s global compute and network infrastructure, ensuring high availability, scalability, reliability, and performance. - Improve compute utilization, performance, and service availability while supporting rapidly growing AI workloads. - Develop capacity models, demand forecasts, and fleet lifecycle automation to help infrastructure scale efficiently with business growth. - Operate and continuously improve Harvey’s Kubernetes platform, including cluster provisioning, upgrades, networking, monitoring, reliability, performance, and operational automation. - Drive infrastructure cost efficiency through capacity management, resource rightsizing, workload optimization, and utilization monitoring. - Build secure infrastructure foundations, including identity and access management, network isolation, secrets management, auditing, and compliance controls. - Develop scalable Infrastructure-as-Code and automation frameworks using technologies such as Terraform and Pulumi. - Improve observability, monitoring, alerting, incident response, and operational readiness across the infrastructure platform. - Participate in the on-call rotation, lead incident response when needed, and turn production learnings into durable engineering improvements. WHAT YOU HAVE - 10+ years of software, infrastructure, site reliability, or production engineering experience. - Deep experience building and operating large-scale cloud infrastructure on AWS, Azure, or Google Cloud Platform. - Strong hands-on experience operating Kubernetes in production, including cluster lifecycle management, networking, and reliability. - Experience building and operating distributed systems with strong reliability, scalability, and performance characteristics. - Experience with infrastructure automation and Infrastructure-as-Code using tools such as Terraform or Pulumi. - Strong understanding of compute infrastructure, networking, capacity planning, fleet management, and production operations. - Experience designing and operating observability systems, including monitoring, logging, alerting, and incident response. - Strong understanding of infrastructure security, including IAM, network security, secrets management, and compliance best practices. - A track record of driving complex, cross-functional technical initiatives and influencing engineering decisions without relying on formal authority. - Excellent communication skills and the ability to explain technical concepts clearly to engineering partners and other stakeholders. - A systems-thinking mindset and a passion for building simple, reliable, and scalable infrastructure platforms. NICE TO HAVE - Experience supporting AI/ML or LLM infrastructure at scale. - Experience operating GPU fleets, high-performance compute infrastructure, or large-scale capacity planning. - Experience with multi-cloud infrastructure or hybrid cloud environments. - Experience building internal platforms or developer tooling that improves engineering velocity and production safety. COMPENSATION $231,000 - $340,000 USD DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74. #LI-AN2 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: San Francisco Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW Harvey is building the AI platform trusted by the world’s leading law firms and enterprises. Our infrastructure is the foundation that powers every customer interaction, every model inference, and every production workload. We’re looking for a Production Engineer to help build and operate Harvey’s core compute and networking infrastructure, Kubernetes platform, workflow orchestration platform, and production infrastructure foundations. You’ll work on the systems that enable engineering teams to move quickly and operate reliable services at scale. In this role, you’ll improve the reliability, scalability, security, and efficiency of Harvey’s infrastructure platform. You’ll solve complex production challenges across compute fleet management, capacity planning, infrastructure automation, and production operations. You’ll partner closely with Product Engineering, Security, AI Infrastructure, and Platform teams to ensure our infrastructure scales with Harvey’s rapid growth. At Harvey, we value Decisiveness, Simplicity, and the belief that Job’s Not Finished. We move quickly, prioritize clarity, and continuously raise the bar for engineering excellence. WHAT YOU'LL DO INFRASTRUCTURE ENGINEERING & TECHNICAL LEADERSHIP - Design, build, and operate the production infrastructure that powers Harvey’s products and AI workloads. - Drive technical direction across compute infrastructure, networking, Kubernetes, workflow orchestration, and production operations. - Lead complex, cross-functional technical initiatives that improve reliability, scalability, security, operational efficiency, and infrastructure cost. - Partner with Product Engineering, Security, AI Infrastructure, and Platform teams to translate product and business requirements into resilient infrastructure solutions. - Establish reusable patterns, tooling, and paved paths that help engineering teams ship and operate production services safely. - Raise the engineering bar through thoughtful design reviews, clear technical documentation, operational rigor, and mentorship. INFRASTRUCTURE FOUNDATION & PRODUCTION OPERATIONS - Build and operate Harvey’s global compute and network infrastructure, ensuring high availability, scalability, reliability, and performance. - Improve compute utilization, performance, and service availability while supporting rapidly growing AI workloads. - Develop capacity models, demand forecasts, and fleet lifecycle automation to help infrastructure scale efficiently with business growth. - Operate and continuously improve Harvey’s Kubernetes platform, including cluster provisioning, upgrades, networking, monitoring, reliability, performance, and operational automation. - Drive infrastructure cost efficiency through capacity management, resource rightsizing, workload optimization, and utilization monitoring. - Build secure infrastructure foundations, including identity and access management, network isolation, secrets management, auditing, and compliance controls. - Develop scalable Infrastructure-as-Code and automation frameworks using technologies such as Terraform and Pulumi. - Improve observability, monitoring, alerting, incident response, and operational readiness across the infrastructure platform. - Participate in the on-call rotation, lead incident response when needed, and turn production learnings into durable engineering improvements. WHAT YOU HAVE - 5+ years of software, infrastructure, site reliability, or production engineering experience. - Deep experience building and operating large-scale cloud infrastructure on AWS, Azure, or Google Cloud Platform. - Strong hands-on experience operating Kubernetes in production, including cluster lifecycle management, networking, and reliability. - Experience building and operating distributed systems with strong reliability, scalability, and performance characteristics. - Experience with infrastructure automation and Infrastructure-as-Code using tools such as Terraform or Pulumi. - Strong understanding of compute infrastructure, networking, capacity planning, fleet management, and production operations. - Experience designing and operating observability systems, including monitoring, logging, alerting, and incident response. - Strong understanding of infrastructure security, including IAM, network security, secrets management, and compliance best practices. - A track record of driving complex, cross-functional technical initiatives and influencing engineering decisions without relying on formal authority. - Excellent communication skills and the ability to explain technical concepts clearly to engineering partners and other stakeholders. - A systems-thinking mindset and a passion for building simple, reliable, and scalable infrastructure platforms. NICE TO HAVE - Experience supporting AI/ML or LLM infrastructure at scale. - Experience operating GPU fleets, high-performance compute infrastructure, or large-scale capacity planning. - Experience with multi-cloud infrastructure or hybrid cloud environments. - Experience building internal platforms or developer tooling that improves engineering velocity and production safety. COMPENSATION $190,000 - $280,000 USD DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74. #LI-AN2 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: Remote - United States What We’re Building Honeycomb is a service for the near and present future, defining observability and raising expectations of what developer tools can do! We’re working with well known companies like HelloFresh, Slack, LaunchDarkly, and Vanguard and more across a range of industries. This is an exciting time in our trajectory, we’ve closed Series D funding, scaled past the 200-person mark, and were named to Forbes’ America’s Best Startups of 2022 and 2023! If you want to see what we’ve been up to, please check out these blog posts and Honeycomb.io press releases . Who We Are We come for the impact, and stay for the culture! We’re a talented, opinionated, passionate, fiercely inclusive, and responsible group of bees. We have conviction and we strive to live our values every day. We want our people to do what they truly love amongst a team of highly talented (but humble) peers. How We Work We are a fully distributed company, which means we believe it is not where you sit, but how you deliver that matters most. We invest in our people and care about how you orient to our culture and processes. At the same time we imbue a lot of trust, autonomy, and accountability from Day 1. #LI-Remote Little more about the team: AI agents at Honeycomb investigate, reason, and act on real observability data. They live in Canvas: the agentic workspace where engineers go to understand their systems. The Agentic Intelligence team has shipped Canvas, the Honeycomb MCP server, and the Canvas Agent and Canvas Skills surfaces. What we're looking for today is someone who brings deep agent expertise and uses it to expand what the team can build: new agents, new surface area in Canvas, memory, spatial awareness, improved performance on our Bedrock loop. Honeycomb's data store is fast and accepts high cardinality data; that's what makes agents built on top of it different from anything built on a conventional observability backend. This role is about taking advantage of that building agents that can do things no other observability product can do because the underlying data makes it possible. Some of this work will start as a prototype. The expectation is that the code makes it through the full arc, from the rough first version through to something that holds up in production. What you'll do Design and deliver production-grade agents. Build agents that investigate, reason, and act on live observability data inside Canvas. These agents must be trustworthy to engineers in high pressure situations, including mid-incident. Take one from rough first version to something that holds up under production traffic. Own the agent work; support the whole product. Scope, build, ship, and maintain the agents including the evals that tell you whether they got better or are just different. This role is agent-focused and also includes some fullstack development. Build agents only Honeycomb can build. Use a data store that returns high-cardinality queries in seconds to reason over signal a conventional backend can't serve at this fidelity correlating across services, drilling into a single trace, comparing before and after a deploy. Extend the surface, and decide what's next. Ship new capability into Canvas, the MCP server, and Canvas Skills memory, spatial awareness, a faster Bedrock loop and make the case for what comes after with working code. Distinguish hype from signal in a field with plenty of both. Define what "good" means for agents here. Set the bar: measurable against real evals, maintainable, and honest about their limits. Example projects Multiple agents collaborating on one shared Canvas investigation each claiming a hypothesis, publishing findings, and narrowing the search space for the others so it resolves faster (blog). Auto-investigation the moment an SLO burn alert fires the agent forms hypotheses and prepares visualizations before a human looks, cutting mean-time-to-insight for on-call (o11ycon 2026). Skills that encode a team's domain expertise e.g. Kubernetes thresholds so agents and human colleagues can lean on them (o11ycon 2026). What you'll bring: AI and agent engineering experience. You've shipped LLM-based systems people relied on in production not demos, not fine-tuned models in a research context. You know where agent systems break and how to design around it. End-to-end ownership. On a small team there's no handoff queue. You can take something from rough prototype to production-grade without needing someone behind you to do the durable engineering. Current judgment, not just past experience. You have informed opinions about what's shifted in agent design in the last six to twelve months that would change how you'd build today. Agent architecture depth. You understand how a fast, high-cardinality data store changes what an agent can reason about, and how to design for that. Product judgment. You can look at what the agent layer does today and see what it should do next and make that case with a prototype, not a deck. Even better Observability or developer-tools background. Engineers are your users; you'll ramp faster with fluency in that world, and the work is better. Familiarity with eval frameworks, agent tooling, RAG, and prompt engineering. Base Salary based on level of experience $183,340 — $206,000 USD What you'll get when you join the Hive: A stake in our success - generous equity with employee-friendly stock program It’s not about how strong of a negotiator you are - our pay is based on transparent levels relative to experience Time to recharge with unlimited PTO A distributed-first mindset and culture (really!) Home office, co-working, and internet stipend Full benefits coverage for employees, with additional coverage available for dependents Up to 16 weeks of paid parental leave, regardless of path to parenthood Annual development allowance And much more... Please note we cannot currently sponsor or support visa transfers at this time. Additionally, in compliance with applicable law, all persons hired will be required to verify identity and eligibility to work. Phishing and Recruitment Scam Warning: We take your security seriously. Please be aware that recruitment scams are increasingly common and scammers may create email addresses or websites to impersonate Honeycomb employees. To help protect you: All communications will come from an @honeycomb.io email address We occasionally work with external recruiting agencies. These partners will use legitimate business email addresses— never personal accounts like Gmail or Yahoo . Our recruiting process will never ask you to provide financial or sensitive personal information, including but not limited to: Social security or tax identification numbers Credit card numbers Bank account information Diversity & Accommodations: We're committed to building a diverse, inclusive, and equitable workplace—where people of all backgrounds, identities, experiences, and abilities are welcomed, valued, and supported. We recognize that there is no single path to success and embrace nontraditional career journeys and diverse perspectives as key to building stronger, more innovative teams. We strive to ensure an inclusive experience throughout every stage of our hiring process and are happy to provide reasonable accommodations as needed. If you require accommodations or accessible formats at any point during our hiring process, please let your recruiter know. As an equal opportunity employer our hiring process is designed to put you at ease and help you show your best work. If there’s anything we can do to improve your experience, we’re always open to feedback. Privacy Notice: If you apply for a job at Honeycomb and your application is unsuccessful (or you withdraw from the process or decline our offer), Honeycomb will retain your information after your application for a period of time in accordance with local laws. We retain this information for various reasons, including in case we face a legal challenge in respect of a recruitment decision, to consider you for other current or future jobs at Honeycomb, and to help us better understand, analyze and improve our recruitment processes. For more information regarding our privacy practices please see the Honeycomb Privacy Notice . If you do not want us to retain your information, or want us to update it, please contact privacy@honeycomb.io . Please note, however, that we may retain some information if required by law or as necessary to protect ourselves from legal claims.

Location: Hybrid - San Francisco, New York City About Vercel: Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience. Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide. About the role Vercel is seeking a Presentation Designer to own presentation design end to end and help make every deck, from an intimate strategy meeting to a high-profile main-stage keynote, a sharp and compelling reflection of our brand and story. Presentations are one of the highest-leverage surfaces at Vercel. They are where executives communicate strategy, where product teams tell their stories, and where the company shows up in front of customers, partners, and the press. This role will own the full lifecycle of presentation design, from initial concept through storytelling, visual design, presentation systems, and final delivery across PowerPoint, Figma, Keynote, and Google Slides. Beyond designing individual presentations, this person will help build the systems, templates, components, guidelines, and workflows that allow presentation design to scale across Vercel. They may also partner with our Design Engineering team to explore and build internal tools that make it easier for teams to create high-quality, on-brand decks efficiently. You'll work closely with our Creative/Brand, Executive, Product Marketing, Communications, Events, and Design Engineering teams to turn complex technical concepts into visual narratives that resonate with any audience and raise the bar for presentation design across the company. This role is ideal for a designer who thinks about narrative and hierarchy as much as pixels, can balance high-touch creative work with scalable systems thinking, and knows how to build trust while working directly with senior executives under tight timelines. You'll report to the Director of Creative Design within our Creative/Brand team and will be based in San Francisco or New York City. What you'll do Own presentation design strategy and execution end to end, leading projects from initial concept through final delivery while staying aligned with objectives, timelines, and brand guidelines. Design visually compelling presentations that combine storytelling, information design, and data visualization to communicate key messages clearly and memorably. Build and maintain a cohesive presentation design system, including templates, components, layouts, motion principles, documentation, and usage guidelines. Develop scalable, branded presentation frameworks across Google Slides, PowerPoint, Figma, and Keynote so teams can move quickly without sacrificing quality or consistency. Partner with Design Engineering to explore, prototype, and potentially build internal tools that improve how presentations are created, maintained, and scaled across the company. Establish workflows and governance for presentation assets, making it easy to distribute updates, maintain consistency, and evolve the system alongside the Vercel brand. Identify repetitive presentation-design tasks and create systems, automation, or tooling that reduce manual work and improve quality at scale. Build and maintain a consistent visual identity across all presentation materials, ensuring every deck reflects Vercel's brand. Partner directly with executives and speakers to tailor narratives and visuals to their individual voice, style, audience, and presentation needs. Integrate multimedia, including animation, video, and interactive elements, to maximize audience engagement during high-stakes moments. Translate complex technical ideas into clear, engaging visuals, researching topics deeply enough to identify the simplest and most compelling way to explain them. Iterate quickly on feedback from executives and cross-functional partners, delivering polished, presentation-ready materials under deadline pressure. Support Vercel's highest-visibility moments, including product launches, corporate events, customer presentations, and executive keynotes, with design that performs on the main stage. What you need 4+ years of experience in visual communication, presentation design, brand design, or multimedia design. Expert proficiency in Google Slides, Keynote, PowerPoint, and Figma Slides. Strong understanding of presentation systems, including templates, reusable components, master layouts, documentation, and asset governance. Experience building and maintaining scalable, on-brand self-service templates for use by teams with different levels of design expertise. A systems-oriented mindset and an interest in improving creative workflows through tooling, automation, and close collaboration with engineers. Experience partnering with design engineers or developers to prototype or build internal creative tools is highly valued. Experience incorporating multimedia elements such as audio, video, animation, and interactive content. Experience developing visual narratives for B2B SaaS, developer tools, technical products, or services. Ability to research and precisely translate complex information into clear and compelling visual narratives. Adept at customizing presentations to align with different speakers, audiences, formats, and themes. Proven track record of designing high-impact presentations for main-stage corporate events as well as smaller executive, strategic, and customer-facing meetings. Experience collaborating effectively with C-suite executives and senior leaders on presentation projects. Portfolio demonstrating a range of presentation work across different formats, themes, audiences, and levels of visibility. Evidence of strong project management from initial concept through final delivery. Track record of maintaining brand integrity across a broad presentation ecosystem. Bonus if you You have motion design or motion graphics skills. You have experience building plugins, prototypes, automation, or internal creative tools. You understand frontend development or have experience collaborating closely with Design Engineering teams. You are comfortable flexing into smaller brand and visual-design projects when time allows. Compensation & Benefits: Competitive compensation package, including equity. Inclusive Healthcare Package. Learn and Grow - we provide mentorship and send you to events that help you build your network and skills. Flexible Time Off. We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed. The San Francisco, CA base pay range for this role is $152,000 - $209,000. Actual salary will be based on job-related skills, experience, and location. Compensation outside of San Francisco may be adjusted based on employee location. The total compensation package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program depending on the role. Your recruiter can share more details during the hiring process. Disclosures: Privacy: Please review our Job Applicant Privacy Policy for more information on how we handle your data. Equal Opportunity: Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.

Location: New York; San Francisco; London Workplace: OnSite ABOUT US: AI NEEDS A NEW INFRASTRUCTURE LAYER. WE'RE BUILDING IT AT MODAL. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation. Our team includes creators of popular open-source projects (e.g.,Seaborn https://github.com/mwaskom/seaborn,Luigi https://github.com/spotify/luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. THE ROLE: As a Manager, Enterprise Sales, you will lead and scale our enterprise sales team, driving strategic revenue growth with a consultative, customer-first approach. You will oversee complex deal cycles, coach Enterprise Account Executives, and build the motion that wins high-impact, multi-stakeholder deals in a rapidly evolving AI landscape. WHAT YOU’LL WORK ON: - Lead, mentor, and develop a team of Enterprise Account Executives, fostering a culture of performance, strategic thinking, and collaboration - Own and guide the full enterprise sales cycle, from targeted outbound and discovery to multi-threaded navigation, negotiation, and close - Build and refine enterprise sales playbooks, qualification frameworks, and forecasting models that increase accuracy and velocity - Collaborate cross-functionally with Product, Marketing, and Engineering to align on go-to-market strategy, unblock enterprise requirements, and deliver a seamless customer experience - Drive pipeline generation strategy and help shape top-of-funnel programs - Establish enterprise sales processes, performance metrics, and best practices that ensure consistent quota attainment across the team YOU MAY BE A FIT IF: - You’re a proven enterprise sales leader with experience closing large, complex deals and managing high-performing teams - You’re skilled in multi-threading, stakeholder alignment, and navigating procurement, legal, security review, and executive-level conversations - You’re a strong coach who helps Account Executives sharpen discovery, messaging, deal strategy, and negotiation - You’re highly strategic and structured, able to build repeatable systems and scalable enterprise sales motions - You’re comfortable owning forecasts, running deal reviews, and driving predictable revenue outcomes

Location: Lugano, Switzerland; Lausanne, Switzerland; Geneve, Switzerland; Chiasso, Switzerland; Berne, Switzerland; Stockholm, Sweden; Colombo, Sri Lanka; Madrid, Spain; Barcelona, Spain; Seoul, South Korea; Johannesburg, South Africa Workplace: remote Join Tether and Shape the Future of Digital Finance At Tether, we’re not just building products, we’re pioneering a global financial revolution. Our cutting-edge solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction. Innovate with Tether Tether Finance: Our innovative product suite features the world’s most trusted stablecoin, USDT , relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services. But that’s just the beginning: Tether Power: Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities. Tether Data: Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like KEET , our flagship app that redefines secure and private data sharing. Tether Education : Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity. Tether Evolution : At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways. Why Join Us? Our team is a global talent powerhouse, working remotely from every corner of the world. If you’re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We’ve grown fast, stayed lean, and secured our place as a leader in the industry. If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you. Are you ready to be part of the future? About the job P2P Node.js Engineer (Remote) We're big fans of Node.js — Holepunch is built on it. During this next growth phase, we could use your help to expand and strengthen our core P2P networking and storage primitives. Our P2P technology covers a wide surface area, so if the parts of this following tech profile fits you, we’d love to talk to you. Requirements Extensive knowledge of P2P protocols (Kademlia, BitTorrent, libp2p, hypercore) Demonstrable experience optimizing network protocols for performance Advanced JavaScript skills for implementing high-performance networking code Deep understanding of UDP and TCP/IP networking, including NAT traversal techniques Experience implementing custom binary protocols and serialization formats Familiarity with cryptographic primitives for secure P2P communication Experience with performance profiling and optimization of networked systems Preferred Qualifications 5+ years experience building production P2P systems or distributed systems Experience optimizing JavaScript for low-latency networking applications Knowledge of V8 internals and JavaScript performance characteristics Experience with libuv and asynchronous I/O in C Contributions to open-source P2P projects or networking libraries Experience building reliable systems on unreliable networks Experience with Node.js native addons and bridging between JS and C

Location: Remote - Europe About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The Infrastructure Acquisition Group The Infrastructure Acquisition Group secures the land, power, and data center capacity that enables the Nebius AI Cloud. We identify where Nebius should grow next, structure the commercial agreements that make that growth possible, and partner across engineering, energy, finance, legal, and development to bring new AI infrastructure online. We're a small, founding team building this function from the ground up across the Americas, leading the acquisition of colocation, build-to-suit, powered land, and other strategic infrastructure opportunities as one of the world's fastest-growing AI cloud platforms scales. Examples of Problems We're Solving Validate electrical feasibility before commercial commitment. A site or agreement is only as good as its ability to support the power capacity and distribution infrastructure required to run it. You'll lead electrical due diligence, utility interconnection analysis, and equipment feasibility review to inform Go / No-Go decisions before deals close. Keep electrical design decisions ahead of development. Coordinate with Site Selection, Development, Engineering, and Delivery so power distribution topology, redundancy strategy, and equipment assumptions are validated early enough to protect schedule and budget once construction begins. Build a repeatable technical evaluation program. Help establish the standards, design criteria, and technical readiness gates that will support electrical engineering review across every AI infrastructure acquisition in the Americas. About the Role As an Electrical Engineer, you'll provide the technical electrical engineering perspective across the acquisition and development lifecycle — from initial site and deal evaluation through construction readiness. Working within the Infrastructure Acquisition Group, you'll partner with Site Selection, Technical Due Diligence, Development, Energy, Finance, and Delivery to ensure every project's power distribution, utility interconnection, and equipment assumptions are technically sound before they move forward. This is a build-phase role on a build-phase team. Many of the technical evaluation standards, design criteria, and readiness gates you'll use are still being written — in some cases, you'll help write them. We're looking for someone who can independently assess complex electrical infrastructure while helping build the systems that make every future evaluation faster, more predictable, and more scalable. What You'll Own Lead electrical engineering evaluation of prospective sites, colocation capacity, and build-to-suit opportunities. Own technical assumptions for power distribution topology, capacity, and equipment strategy feeding the pre-construction risk register. Assess utility interconnection, on-site generation, and redundancy strategies (N, N+1, 2N) against site conditions and load requirements. Recommend Go / No-Go input on electrical feasibility as projects advance through key development milestones. Deliver technically validated electrical scope to the Delivery organization with complete documentation and minimized risk. Technical Due Diligence & Feasibility Lead electrical due diligence on prospective sites, existing facilities, and colocation capacity under evaluation. Evaluate utility capacity, interconnection queue position, substation requirements, and on-site generation/UPS strategy against projected IT load. Assess electrical equipment availability, lead times (transformers, switchgear, generators), and vendor constraints that could affect schedule or capex. Ensure electrical assumptions are fully integrated into project budgets, capacity models, and schedules. Design & Equipment Strategy Partner with Engineering to define power distribution topology and redundancy strategy appropriate to each site and deal structure. Evaluate EPMS/BMS controls integration and electrical system commissioning requirements early in the acquisition process. Provide technical input on switchgear, UPS, and generator selection, redundancy strategy, and capex trade-offs across candidate sites. Ensure electrical design intent is preserved as deals move from negotiation into development. Construction Readiness Establish electrical technical readiness criteria as part of project handoff standards. Verify electrical design assumptions, equipment specifications, and capacity commitments are complete before turnover to Delivery. Identify and resolve electrical technical risks before they impact construction. Cross-Functional Collaboration Serve as the primary electrical engineering technical interface across Site Selection, Technical Due Diligence, Development, Energy, and Delivery. Coordinate with consulting engineers, utility providers, equipment vendors, and commissioning agents to validate executable electrical strategies. Align internal stakeholders and external consultants to prevent technical scope drift as projects move from acquisition into development. What Success Looks Like Ensure every acquisition is grounded in sound electrical engineering judgment before commercial commitment. Deliver predictable, technically validated power distribution and redundancy strategies across the portfolio. Identify and resolve electrical technical risks before they impact construction. Build trusted relationships with utility providers, equipment vendors, consulting engineers, and commissioning partners. Help build the technical standards and evaluation processes the Infrastructure Acquisition Group runs on as it scales. What You'll Bring You're comfortable operating in ambiguity and building technical evaluation processes where none exist. You know how to independently assess complex electrical infrastructure while helping define how future projects should be evaluated. 8+ years of experience in data center electrical engineering, power systems design, or mission-critical electrical systems. Experience with medium-voltage distribution, switchgear, UPS systems, generators, and utility interconnection for high-density AI/hyperscale environments. Strong understanding of electrical capacity planning, redundancy topology (N, N+1, 2N), equipment selection, and capex trade-offs in data center design. Experience evaluating electrical feasibility of sites or facilities prior to commercial commitment. Excellent communication and executive presentation skills. Bachelor's degree in Electrical Engineering or a related discipline, or equivalent experience. Preferred Qualifications Experience supporting hyperscale data center or AI infrastructure development. Experience with EPMS/BMS controls integration and electrical systems commissioning. Experience with utility interconnection agreements and interconnection queue strategy. Professional Engineer (PE) license or similar professional certification. Experience evaluating colocation or build-to-suit electrical infrastructure in a due diligence capacity. Why Join Nebius The infrastructure supporting AI is being built now. This is an opportunity to help define how Nebius evaluates and designs the power systems behind every AI infrastructure acquisition while helping build the function itself — the technical standards, design criteria, and evaluation framework that will support infrastructure investments across the Americas. You'll work on some of the industry's largest and most complex AI infrastructure developments while helping shape the physical foundation of the global AI economy. Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: London, England Fin , now part of Salesforce, is on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey, from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk, giving modern support teams one single system. Together with Salesforce, the #1 AI CRM, where humans with agents drive customer success, we're building the future of customer experience. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword, it's a way of life. The world of work as we know it is changing, and we're looking for Trailblazers who are passionate about bettering business and the world through AI. Ready to level up your career at the company leading workforce transformation in the agentic era? You're in the right place. Agentforce is the future of AI, and you are the future of Salesforce. What's the opportunity? It’s an exciting time at Intercom — especially within our Deployment Services team. We’re helping some of the world’s most innovative companies transform how they support their customers through AI-powered customer service. As a Senior AI Deployment Consultant , you’ll lead our largest and most complex customer deployments, combining world-class project management with hands-on technical configuration of Intercom’s platform — including our agent Fin. You’ll be the trusted advisor who ensures our customers achieve value quickly and at scale, guiding them not only to do the foundations, but set a direction on how they measure their impact with AI. You’ll partner with a dedicated team of engineers for complex technical work while managing the overall project strategy, timeline, and delivery. This is a perfect role for someone who thrives at the intersection of technology, customer success, and execution excellence. What will I be doing? Lead end-to-end deployment programs for our largest customers, ensuring successful and timely implementation to Intercom and Fin. Define project scope, success criteria, and timelines that align with each customer’s unique goals and support model. Act as the primary point of contact for customers throughout implementation, managing communication, alignment, and expectations. Partner cross-functionally with Sales, Customer Success, Engineering, and Product teams to design tailored deployment strategies and deliver measurable outcomes. Facilitate discovery sessions to understand complex customer requirements and translate them into actionable technical and project plans. Perform hands-on configuration of Intercom features — including automation, workflows, technical procedures and reporting — supported by our Forward Deployed Engineers for advanced integrations. Coordinate technical readiness activities, including integrations, data migrations, and security reviews. Track key metrics on both the customer and Intercom side such as time-to-value, automation rates, and customer satisfaction, taking proactive steps to ensure successful outcomes. Collaborate with our Product and R&D teams to surface feedback, identify improvements, and help shape future innovations. Contribute to the evolution of our Deployment Services methodology, templates, and best practices. What skills do I need? 6+ years of experience in customer-facing implementation, deployment, or professional services roles, ideally within SaaS or AI technology companies Proven success managing large, complex projects with multiple stakeholders and workstreams. Strong technical aptitude — comfortable configuring software platforms and discussing integrations, APIs, and data flows. Excellent project management skills with a structured, proactive, and detail-oriented approach. Exceptional communication and relationship-building skills, capable of influencing both executives and technical stakeholders. Experience implementing or configuring platforms like Intercom, Zendesk, Salesforce, or similar customer experience tools is a plus. Analytical mindset with strong problem-solving, prioritisation, and decision-making skills. Adaptability and resilience in a fast-paced, changing environment. Passion for technology, AI, and helping customers succeed. How will I be measured? Automation Rate - Are you driving your customers to achieve high adoption of Fin? Customer Satisfaction - Do customers receive a delightful and thorough experience as they begin their journey with Fin? Timeliness — Are your projects on-schedule against the dedicated timelines? #LI-Hybrid Unleash Your Potential When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world. In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. At Fin, we want to give people what they need to do the best work of their careers. Our benefits and programs are designed to support your health and wellbeing, your family, your time away from work, and your financial future. Offerings vary by location in line with local practices and requirements. Learn more about working at Fin and the benefits we offer at fin.ai/careers . Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records. Policies Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week. We have a radically open and accepting culture at Fin. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our core values . Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

Location: Ljubljana, Slovenia Workplace: hybrid Are you ready to join our digital revolution journey?    At Aleph, we’re not just part of the digital advertising landscape—we’re shaping its future. Representing the world’s leading platforms, including TikTok, Amazon, Google, and nearly 55 others, we operate in 130+ markets across new and existing geographies.   Our mission is to empower advertisers and brands to unlock the full potential of these platforms' advertising capabilities. By fostering long-lasting partnerships, we create limitless opportunities for people and businesses to advertise effectively at both local and global levels.   With a presence spanning continents, Aleph offers you the chance to be part of a fast-growing, innovative team where your work makes a direct impact. If you’re ambitious, forward-thinking, and eager to thrive in a dynamic, global environment, Aleph is the perfect place to build your career. About The Role: We're an advertising company that lives or dies by how well we connect to the outside world. We integrate with the major social and ad platforms (Meta, Google, TikTok, LinkedIn, Snap, and more) and wire them into our internal systems for billing and reporting. Data moves constantly and in both directions, at scale, and a meaningful part of our estate is legacy. You'll own the technical direction that keeps all of this coherent, resilient, and evolvable — and you'll stay close enough to the code to prove it. This is the top of our individual-contributor ladder. You won't have direct reports; your leverage comes from setting direction, building the hard parts yourself, writing the decisions down, and getting engineers and leadership to build behind them. This is not a role that only draws diagrams — you'll ship production code on the riskiest paths, cut the spike that de-risks a migration, and go deep in the incidents nobody else can crack. We work across PHP, Go, Python, TypeScript, and JavaScript; PHP and Go are both first-class and here to stay, and the right tool for a problem can land in either. You'll be the person who decides where new capability lands, how legacy gets retired, and how we absorb the constant churn of third-party APIs without breaking delivery. What You'll Own: The integration architecture for ingesting from and pushing to external ad/social platforms — versioning, rate limits, backfills, idempotency, webhooks, and graceful degradation when a partner API changes underneath us. The data architecture for information flowing between platforms and internal systems: pipelines, reconciliation, contracts between services, and the path from operational data to reporting. A pragmatic strategy for modernizing the legacy estate — strangler-fig migrations, clear service boundaries, and sound judgement about which language and pattern fit each problem — carried far enough into code that teams can follow the pattern. The engineering bar for integration and data work: the reference implementations, patterns, and standards the org builds against, ratified through the technical committee. What You'll Do: Set the technical direction for new products and major changes, and stay the technical decision-maker through build and post-launch — with the authority to course-correct when implementation drifts, and the habit of being in the codebase to catch the drift early. Build the hard parts yourself. Write production code on the riskiest, highest-leverage paths; prototype the uncertain approach to turn an argument into evidence; build the reference implementation others extend. Turn intangible trade-offs — partner API risk, team capability, long-term scalability, cost of change — into clear, written decisions (ADRs) that leadership and the technical committee can sign off on. Define service and data contracts, integration patterns, and resilience strategies that survive third-party API deprecations and outages. Go deep when it breaks: lead diagnosis on the gnarliest production incidents and performance regressions, and land the fix and the systemic follow-up. Identify the infrastructure (compute, data, messaging, observability) needed to meet current and near-future goals. Raise the bar through others: mentor engineers and tech leads, set the standard in code review, and drive cross-functional decisions across engineering, product, security, and operations — through influence, not line management. Evaluate third-party and vendor solutions against our integration and data requirements. Monitor systems against performance and business benchmarks and escalate with concrete recommendations. What We're Looking For: Substantial experience as a staff/principal engineer (or equivalent) on integration-heavy, data-heavy systems — ideally where you didn't control the external APIs. Still hands-on. You lead by building, and you're demonstrably strong in production code, not only in design. Depth in at least one of PHP, Go, or Python , and comfort across a polyglot estate (TS/JS on the front). A track record of modernising legacy systems incrementally without halting delivery. Fluency in integration and data patterns: idempotency, eventual consistency, rate limiting, queuing, backfills/reconciliation, API versioning. A history of driving technical decisions through influence rather than authority — getting senior leadership and peer engineers to commit to a direction, and backing it with working code. Nice To Have: Experience with ad/martech platform APIs (Meta Marketing, Google Ads, TikTok, etc.). Data warehouse / analytics pipeline experience (e.g. BigQuery). Multi-region, multi-currency, or high-volume billing/reconciliation backgrounds. Why Join Us?   Aleph is a place of many cultures, perspectives, and talents. We support each other, creating an environment of giving and receiving. We value partnership and communication because we believe it takes a group of people to achieve great things. We are energized by our ever-changing industry, our curiosity keeps us learning and seeking out new opportunities.     We stay flexible and adaptable, and believe in moving with the speed of change. We encourage everyone to strive for more, providing our internal talent with growth opportunities and the ability to learn together.    #ALEPH

Location: Hong Kong, Hong Kong SAR; Singapore, Singapore Staff/Senior Java Engineer, OKX Wallet (Web3) Who We Are OKX Wallet is OKX's self-custody wallet, built for users worldwide to securely and conveniently store, manage, and use their on-chain assets. The wallet backend operates in a multi-chain, multi-asset, high-concurrency environment shaped by on-chain state uncertainty and strict fund-security requirements — combining the complex-systems challenges of traditional internet backends with the transaction, signing, and on-chain interaction problems unique to blockchain. We're looking for a Senior Java Engineer with roughly 5–10 years of backend experience: someone with strong engineering fundamentals who can independently own core modules, exercise sound judgment on complex problems, and proactively coordinate across upstream and downstream teams to drive work to completion. What You'll Do Own core wallet backend modules. Build and continuously improve address management, asset synchronization, transaction construction, broadcasting, on-chain confirmation, gas estimation, nonce management, and transaction-state tracking. Understand each module's role in the full wallet flow, and keep stability, performance, and maintainability front of mind. For complex requirements, break the problem down before choosing an implementation rather than stacking code or reusing old designs. Build transaction and on-chain interaction scenarios. Work on transfers, token approvals, contract interactions, cross-chain, swaps, DApp connections, and signature-request handling. Understand a transaction's full lifecycle — from initiation through construction, signing, broadcasting, on-chain confirmation, and final state update — and diagnose issues like stuck transactions, duplicate submissions, state inconsistencies, and on-chain success that isn't reflected in the business system, using logs, on-chain data, and call traces. Support multi-chain and new-chain integration. We already support EVM, Tron, and Solana, and continuously onboard new public chains, Layer 2 networks, and asset standards. Contribute to technical research, integration design, and feature development, accounting for differences in address models, account systems, transaction structures, signing methods, fees, and confirmation mechanisms — as well as node stability, asset sync, exception compensation, monitoring, and security boundaries. Ensure stable operation. Contribute to day-to-day stability work — monitoring, alerting, rate limiting, graceful degradation, retries, compensation, data reconciliation, and troubleshooting. When incidents occur, help investigate, narrow scope, and fix root causes; for recurring issues, drive systemic fixes such as added monitoring, stronger fallbacks, or design improvements. Drive your projects to delivery. Take ownership of the modules and projects you're responsible for. On work spanning product, QA, frontend, infrastructure, or other backend teams, proactively sync information, surface dependencies and risks, and drive issues to resolution. When requirements are unclear or opinions diverge, lay out the context, offer your own judgment, and help build consensus. Continuously raise engineering quality. Participate in design discussions, code reviews, and system optimization. Spot unreasonable designs, duplicated logic, and latent risks, and propose actionable improvements. Document technical decisions, post-incident learnings, and best practices, and help less-experienced teammates. Apply AI in daily development. Use AI coding tools (Claude Code, Cursor, Codex, etc.) to assist with code comprehension, scaffolding, unit tests, code review, troubleshooting, refactoring, and documentation — validating AI output for correctness, project conventions, performance, and security rather than using it unchecked. What We're Looking For Solid Java backend fundamentals. ~5–10 years of Java backend experience with a strong grasp of collections, concurrency, thread pools, the JVM, network communication, and common performance issues. Proficient with Spring Boot, Spring Cloud, MyBatis, or comparable stacks, able to independently design and build medium-to-large backend modules and reason about the mechanics behind the frameworks you use. Strong system design ability. Experience with complex or high-concurrency systems; comfortable with idempotency, retries, compensation, caching, message queues, distributed locks, data consistency, rate limiting, and service degradation. Able to own module- or service-level design and clearly explain the core flow, failure scenarios, and key trade-offs. Cognitive ability and judgment. Able to understand context and goals on ambiguous problems, separate symptom from root cause, and choose a fitting solution based on business value, user experience, stability, cost, and security — rather than reflexively adding complexity. Drive and ownership. Able to independently own a module or project end to end, from design through development, testing, and launch. Proactively communicates and resolves dependencies, risks, and blockers, and follows through on launch outcomes rather than stopping at code merge. Blockchain or wallet experience. Experience with wallets, blockchain, trading platforms, on-chain data services, or related systems. Understands addresses, public/private keys, mnemonics, transaction signing, broadcasting, on-chain confirmation, gas, and nonce; familiar with the transaction mechanics of at least one of EVM, Tron, or Solana, and with token standards such as ERC-20 and TRC-20. (Strong backend fundamentals and fast learning can offset gaps in blockchain coverage.) High security awareness. Sensitive to private-key, signing, permission, and user-asset security; familiar with replay protection, API authentication, tamper resistance, sensitive-data protection, and least-privilege principles. Actively considers malformed input, duplicate requests, privilege bypass, and data-leak risks when building transaction features. Independent production troubleshooting. Able to diagnose live issues via log analysis, metrics monitoring, distributed tracing, and thread/memory analysis; can form hypotheses and narrow scope even with incomplete information. Hands-on experience with performance degradation, timeouts, message backlogs, data inconsistencies, memory issues, or unstable third-party services. Engineering in the AI era. Willing to use AI coding tools to improve daily efficiency and able to judge whether AI output meets real business requirements before shipping it. Has a basic understanding of prompts, context management, RAG, AI agents, and MCP, or a genuine willingness to keep learning — treating AI as an engineering tool, not requiring an algorithm/model-training background. Nice to Have Integration work on new public chains, new asset standards, or cross-chain protocols Familiarity with WalletConnect, DApp Browser, or signature-request handling Knowledge of MPC, multisig, hardware wallets, or TEE-based key-security schemes Experience with Swap, staking, cross-chain bridges, or DeFi aggregation Address risk detection, allow/deny lists, anti-fraud, or wallet risk-control experience High-concurrency transaction systems, blockchain node services, on-chain data indexing, or transaction-state-tracking systems Familiarity with RPC calls, block scanning, chain reorgs, transaction compensation, and reconciliation mechanisms JVM performance tuning, stability governance, or complex production-incident experience Cross-team collaboration with a track record of driving projects to delivery Real projects built with AI — e.g. AI code review, development agents, MCP servers, intelligent troubleshooting, or knowledge bases Follows developments in AI coding assistants and LLM applications and shares practical takeaways with the team Perks & Benefits Competitive total compensation Comprehensive insurance coverage for you and your dependents More benefits to be discussed after you join Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: Kuala Lumpur, Malaysia About Us Established in 2018, Bybit is one of the world’s leading cryptocurrency exchanges and digital financial platforms, serving over 80 million users across more than 200 countries and regions. Powered by world-class technology and a user-first mindset, Bybit delivers a seamless ecosystem across trading, payments, wealth management, custody, institutional services, and Web3 — connecting users to the future of digital finance. Our core values define how we build. We listen, care and improve to create products and experiences that put users first. Backed by a global team of ambitious builders, problem-solvers, and innovators, we foster a high-performance and fast-moving environment where talent is empowered to drive real impact at the global scale. Supported by 24/7 multilingual customer service and a strong commitment to innovation, we are shaping the future of finance through technology, collaboration, and bold execution. Today, Bybit is recognized as one of the most trusted and transparent platforms in the digital asset industry, continuing to expand its global presence while building the infrastructure for the next generation of financial services. Job Responsibilities Responsible for building risk control capabilities for deposit/withdrawal and on-chain fund operation scenarios, covering core processes such as wallet transactions, signing pipelines, staking/redemption, and cross-chain bridge transfers. Design and implement blockchain transaction risk control strategies, including risk identification, rule validation, anomaly interception, and pipeline consistency assurance. Build a risk control decision engine, supporting the implementation of rule engines, decision trees, and strategy orchestration in fund security scenarios, forming a unified risk control capability covering on-chain fund operations. Collaborate closely with wallet, asset, and security teams to continuously improve the security, traceability, and system stability of fund pipelines. Job Requirements 5+ years of backend development experience; proficient in at least one of Go / Node.js; familiar with high-concurrency architecture (microservices, message queues, caching, rate limiting) and MySQL, Redis. Proficient in at least one public blockchain (Ethereum / Bitcoin / BSC); familiar with on-chain querying (Web3.js / Ethers.js / The Graph); able to read Solidity contract code; knowledgeable about HD wallets, multi-sig, MPC, and other wallet technologies. 5+ years of risk control development experience in internet/finance/blockchain/payments; practical experience with rule engines or decision trees; has led or deeply participated in building deposit/withdrawal risk control systems. Deep understanding of fund security; familiar with signing mechanisms, transaction validation, and security risk control solutions. Nice to Have Hands-on risk control experience at platforms with tens of millions of DAU or millions of daily transactions. Experience in emergency response to major security incidents (hacking attacks, coin theft, fund anomalies). Experience building a risk control system from scratch (0 to 1). Why Join Us At Bybit, we are committed to fostering a supportive and enriching work environment. Our benefits include: - Study Growth Fund: We support your professional development and continuous learning. - Internal Events: Participate in regular team-building activities, workshops, and events designed to promote collaboration and innovation. - Global Collaboration: Be part of a diverse, international team, working alongside colleagues from around the world. - Career Advancement: Access opportunities for growth and advancement within a rapidly expanding global company. - Internal Mobility: Grow with us- Your long-term development is important to us. We offer internal job opportunities to help build your career path.