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Location: New York Workplace: onsite About Xsolla Xsolla is a global video game commerce company that provides the tools and infrastructure the gaming industry relies on to build, distribute, and monetize games. Working with developers and publishers of every size, from independent studios to the largest franchises in the world, Xsolla operates as a merchant of record and processes payments across more than 200 countries and territories, supporting over 1,000 payment methods, 130 currencies, and 25 languages. Its platform spans the full game lifecycle, including web shops, Pay Station, Login, Launcher, the In-Game Store, and a broad suite of LiveOps and monetization tools. Strategic Initiatives and Capital Markets Beyond its core commerce platform, Xsolla has built an expanding set of strategic and capital markets initiatives. The company connects developers with capital through programs such as the Xsolla Funding Club, and it has extended its footprint into the public markets through Xsolla SPAC 1 (Nasdaq: XSLLU), a publicly listed acquisition vehicle focused on gaming, fintech, adtech, and related technology sectors. These activities sit alongside a growing portfolio of partnerships, market expansion programs, and new business lines led by the Global Strategic Initiatives and Partnerships organization. Market Opportunity The opportunity is significant. The global games market is on track to exceed 300 billion dollars, and the sector has matured into a genuine institutional asset class. Industry trackers recorded roughly 161 billion dollars of games industry mergers and acquisitions in , and private equity firms, strategic acquirers, and sovereign investors continue to deploy capital into the studios, platforms, and infrastructure that power the industry. Xsolla sits at the center of this commerce layer, which positions the company to play a meaningful role in how capital flows through gaming. For more information, visit xsolla.com. About the Opportunity Xsolla is seeking a Head of Investor Capital and Relations to lead its capital formation and investor relations agenda from New York. This senior, high-visibility mandate brings together two disciplines that are often treated separately: raising and structuring capital, and stewarding the relationships and narrative that sustain long-term investor confidence. The successful candidate will own the institutional capital relationships that support Xsolla’s strategic vehicles and initiatives and serve as a principal point of contact between the company and the global investment community. The role reports directly to the Senior Vice President of Global Strategic Initiatives and Partnerships and works in close partnership with the Chief Executive, Chief Legal Officer, finance leadership, and the founders. It is designed for an investor who understands capital from the inside: someone who has sat across the table from sponsors, sovereign funds, and institutional allocators, and who can translate Xsolla’s strategy into a compelling, credible investment thesis. The Head of Investor Capital and Relations will be based in New York and will report to Rytis Joseph Jan, Senior Vice President of Global Strategic Initiatives and Partnerships. The role requires significant global travel, including regular engagement across the Gulf, Asia, and major financial centers, to build and maintain the relationships at the heart of the mandate. Expressions of Interest Xsolla welcomes confidential conversations with qualified candidates and trusted introductions. Please direct expressions of interest, together with a resume and a short note on relevant experience, to the Xsolla Talent Acquisition team via the application button linked below. Role Overview As Head of Investor Capital and Relations, you will be responsible for the full arc of capital engagement, from sourcing and cultivating investors, to structuring and executing capital raises, to maintaining disciplined, compliant, and trusted relationships once capital is committed. Your remit will span private capital formation, sovereign and strategic institutional relationships, and the investor relations function associated with Xsolla's publicly listed activities. You will build the investor relations capability that a company operating in and around the public markets requires, including the disclosure discipline, messaging consistency, and relationship infrastructure that institutional investors expect. You will also act as a senior commercial partner to the deal teams, helping to shape the capital structure, investor syndicate, and positioning of strategic transactions. This is a builder's role. You will establish the processes, materials, and team that allow Xsolla to engage the capital markets with the professionalism of a far larger institution, while retaining the speed and ambition of a company in a high growth sector. Key Responsibilities Capital Formation and Fundraising Lead capital raises. Design and execute capital raises across the firm's strategic vehicles and initiatives, spanning equity, structured, and credit instruments. Own the investor pipeline. Develop and manage the investor pipeline, from initial sourcing and qualification through diligence, negotiation, and close. Build the materials. Create the core fundraising materials, including the equity story, investor presentations, data rooms, and the supporting financial narrative, in partnership with finance and legal. Structure terms. Shape terms and commitments in coordination with deal leadership, balancing the interests of the firm, its founders, and incoming investors. Read the market. Maintain a current and accurate view of market conditions, investor appetite, and comparable transactions to inform timing and structure. Sovereign Wealth and Strategic Institutional Capital Gulf sovereign wealth funds alone manage on the order of 5 trillion dollars in assets and have become active, thematic investors in technology and platform businesses, with leading funds such as QIA, PIF, ADIA, Mubadala, and ADQ frequently writing large strategic commitments. Cultivating and stewarding these relationships is central to this role. Originate relationships. Build and steward relationships with sovereign wealth funds, strategic corporates, family offices, and large institutional allocators, with particular emphasis on the Gulf, Asia, and North America. Map the counterparties. Understand the priorities, mandates, and decision processes of target institutions, and align Xsolla's opportunities to the right counterparties and ticket sizes. Engage principals. Serve as a trusted, senior relationship owner who can engage principals and investment committees with credibility and discretion. Coordinate coverage. Align coverage strategy with banking partners and advisors to maximize reach into the institutions that matter most. Public Markets, SPAC, and Business Combination Investor Relations Build the IR function. Establish and run the investor relations function for Xsolla's publicly listed activities, including Xsolla SPAC 1, in line with the standards expected of a public company. Manage public investors. Manage relationships with public market investors, sell side and buy side analysts, and prospective shareholders, and serve as a primary point of contact for inbound investor inquiries. Lead event communications. Lead investor communications around capital events, including any business combination, and prepare leadership for investor meetings, roadshows, and earnings style updates. Craft the message. Develop consistent, accurate messaging that links strategy, key metrics, and results, and that supports informed engagement and durable investor confidence. Protect disclosure integrity. Partner with legal and compliance to uphold disclosure obligations, including fair disclosure principles, blackout periods, and safe harbor language for forward looking statements. Capital Markets Strategy and Transaction Execution Advise on structure. Advise leadership on capital structure, funding strategy, and the optimal mix of capital across the firm's objectives. Support transactions. Support the execution of strategic transactions, including acquisitions and business combinations, by shaping the investor syndicate, terms, and positioning. Coordinate advisors. Direct the work of banks, advisors, and counsel through diligence and execution, and keep workstreams aligned to timeline and outcome. Translate the market. Monitor capital markets developments, sector valuations, and competitor activity, and translate them into recommendations for leadership and, where relevant, the board. Disclosure, Communications, and Governance Set the framework. Establish and maintain a disciplined disclosure and communications framework, including policies, calendars, and approval workflows. Prepare materials. Prepare board level and investor level materials, and contribute to the narrative that the company presents to the market. Ensure compliance. Ensure that all investor facing communications are accurate, consistent, and compliant, and that material information is handled appropriately. Leadership and Cross-Functional Partnership Build the team. Recruit, mentor, and lead the investor relations and capital markets team over time. Work across the firm. Partner seamlessly across finance, legal, strategy, communications, and the founders to deliver a unified message to the market. Represent Xsolla. Represent the company with poise and authority at investor meetings, industry forums, and capital markets events around the world. Candidate Profile Experience Twelve to fifteen years or more of progressive experience across investment banking, private equity, sovereign wealth or institutional investing, capital markets, or senior investor relations, ideally spanning more than one of these. A demonstrable track record of raising or deploying institutional capital and of closing complex transactions. Direct experience engaging sovereign wealth funds, strategic investors, or large institutional allocators at a senior level. Exposure to public company investor relations, the listing process, or a business combination is strongly preferred. Domain Expertise Deep fluency in capital structure, private placements, equity and credit instruments, and transaction processes. A strong working knowledge of public market disclosure, fair disclosure principles, and the obligations that accompany a listing. Familiarity with gaming, technology, fintech, or other high growth sectors is a clear advantage, as is comfort operating across the Gulf, Asia, and North American markets. Skills and Competencies Exceptional financial acumen, with the ability to build and interrogate the analysis behind a capital raise. Outstanding written and verbal communication, with the ability to turn a complex strategy into a clear and persuasive investment narrative. Significant relationship capital and the gravitas to engage principals, investment committees, and senior executives. Sound judgment, discretion, and the highest standards of integrity when handling sensitive and material information. The drive and resourcefulness to build a function from the ground up in a fast moving environment. Education and Credentials A bachelor's degree in finance, economics, business, or a related field is required. An advanced degree such as an MBA, or a professional credential such as the CFA, is strongly preferred. Relevant securities licenses, or the willingness to obtain them, are viewed favorably. Benefits: We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees and their families through a comprehensive Benefits Program. This includes 100% company-paid medical, dental, and vision plans, unlimited Flexible Time Off, and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally. Together, we’re not just building a business; we’re cultivating a community that values creativity, collaboration, and the transformative power of play. Equal Employment Opportunity Statement: Xsolla is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or any other characteristic protected by law. We consider qualified applicants with criminal histories in accordance with the Fair Chance Act. Criminal History Consideration: For the Head of Investor Capital & Relations role, we will conduct a background check that may include the following: Criminal history check Employment verification Education verification Relevance to Job Responsibilities: The background check is relevant to this position because of the following role responsibilities: Working with vulnerable populations Accessing confidential company data Ensuring compliance with regulatory requirements Rights Under the Fair Chance Act: Applicants are encouraged to inquire about their rights under the Fair Chance Act. If you have questions regarding our hiring practices, please contact careers@xsolla.com. By submitting the following job application form, you consent to Xsolla processing your data for career-related inquiries and potential employment opportunities. We process your data in accordance with thisXsolla Privacy Notice for Job Applicants. Please direct any inquiries regarding your data privacy to careers@xsolla.com. Compensation is competitive and negotiable based on experience, and includes performance-based incentives, equity participation, and comprehensive health, retirement, and wellbeing benefits.

Location: United States Workplace: Remote At ClickUp, we're building the future of work: the first truly converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI. We are an AI-native company. Every team member is expected to leverage AI daily, and we evaluate AI fluency as part of our hiring process. Join us and help redefine what's possible. 🚀 JOB SUMMARY   We are looking for a GTM DevOps Engineer to join our Business Systems team and own the reliability, automation, and delivery infrastructure behind our Go-To-Market (GTM) technology stack. This role sits at the intersection of platform reliability and CI/CD engineering, ensuring that our critical business systems — including Salesforce, NetSuite, MuleSoft, Workato, and an expanding portfolio of AI-powered workloads — are deployed consistently, operate resiliently, and scale with the business.   You will partner closely with Business Systems developers, architects, and business stakeholders to build and maintain the pipelines, monitoring frameworks, and operational standards that keep our GTM systems healthy and our release cycles fast and predictable. As our team builds and deploys AI agents across GCP Cloud Run and AWS Bedrock AgentCore, you will serve as the infrastructure and deployment owner for these workloads — bringing engineering discipline to an environment where AI-generated code is increasingly entering production. This is a hands-on engineering role for someone who thrives in complexity, takes ownership of platform uptime, and brings a software engineering mindset to business application operations — directly supporting GTMSOE's broader mission of operational excellence across the GTM org.   KEY RESPONSIBILITIES   CI/CD & RELEASE ENGINEERING   - Design, build, and maintain CI/CD pipelines for Salesforce (SFDX/Salesforce CLI), NetSuite (SuiteScript/SuiteBundler), MuleSoft (Anypoint Platform), and Workato; establish branching strategies, environment promotion standards, and release gating processes across all GTM platforms. - Extend CI/CD practices to cover AI agent workloads deployed on GCP Cloud Run and AWS Bedrock AgentCore — including containerized builds, deployment pipelines, and automated validation gates. - Implement safe rollout patterns — including feature toggles, phased launches, automated validation, smoke tests, and rollback procedures — to reduce deployment risk on business-critical changes.   PLATFORM RELIABILITY & OBSERVABILITY   - Own SLA/SLO definitions for core GTM systems; standardize monitoring, alerting, and runbook patterns across quote-to-cash and GTM integrations, with proactive health checks and synthetic monitoring for critical flows (e.g., Salesforce ↔ NetSuite, Workato). - Extend observability coverage to GCP Cloud Run workloads — Cloud Scheduler jobs, agent pipelines, and integration microservices — and AWS-hosted agent infrastructure. - Conduct root cause analysis (RCA) for platform incidents and drive post-incident reviews with actionable remediation plans.   CLOUD INFRASTRUCTURE & ENVIRONMENT MANAGEMENT   - Manage sandbox, staging, and production environment lifecycles across GTM platforms — including refresh cycles, data masking, environment segmentation, and promotion standards that balance speed with reliability. - Own cloud infrastructure for Business Systems-operated workloads on GCP (Cloud Run, Cloud Scheduler, Cloud Secret Manager, GCS, Artifact Registry) and AWS (Lambda, S3, EventBridge, Secrets Manager, Bedrock AgentCore); apply IaC practices to make provisioning repeatable and auditable. - Establish base image pinning, dependency vulnerability scanning, and supply chain security practices for containerized workloads — particularly AI-generated codebases deployed via tools like Cursor or Claude Code. - Define and enforce patch management and container runtime ownership for vibe-coded and agentic workloads entering production.   SECRETS, ACCESS & SECURITY POSTURE   - Establish and enforce a consistent secrets management standard across all Business Systems workloads — GCP Secret Manager, AWS Secrets Manager, and equivalent — eliminating credential exposure via environment variables, source code, or client-side contexts. - Define and maintain API key rotation policies in alignment with security standards (high-severity keys: quarterly; vendor keys: annually at minimum). - Partner with Security and IT on IAM scoping, least-privilege service accounts, VPC configuration, and public/private endpoint governance for Cloud Run and Bedrock deployments. - Maintain a centralized registry of deployed workloads — GitHub repos, deployment URLs, architecture docs, data classification, and observability dashboard links — accessible to AppSec and infrastructure teams.   AUTOMATION & TOOLING   - Build internal tooling, automation scripts, and automated testing frameworks (unit, integration, regression) to reduce toil and increase deployment confidence; continuously evaluate new tooling to improve developer experience. - Develop or enforce GitHub repository templates for Cloud Run deployments that cover security audits, deployment configuration, API integration, and MCP server patterns — serving as a reusable foundation for AI-assisted builds.   GOVERNANCE, STANDARDS & COLLABORATION   - Define where self-service deployment and administration are appropriate versus where stronger change control and operational guardrails are required; serve as the DevOps SME, enabling developers to operate with autonomy within those boundaries. - Document and maintain operational runbooks, architecture decision records (ADRs), and deployment standards as living artifacts. - Collaborate with IT, Data Engineering, Security, and business stakeholders on cross-functional initiatives that touch the GTM platform.   QUALIFICATIONS   EXPERIENCE   - 4+ years in a DevOps, Site Reliability Engineering (SRE), or Platform Engineering role - 2+ years of hands-on experience deploying and managing Salesforce environments (SFDX, Salesforce CLI, scratch orgs, sandboxes, change sets, or pipeline-based deployments) - Experience with at least one additional GTM/ERP platform, such as NetSuite, MuleSoft, or Workato, in an operational or deployment capacity - Demonstrated experience building and maintaining CI/CD pipelines using tools such as GitHub Actions, GitLab CI, Jenkins, or Copado - Hands-on experience with GCP services — Cloud Run, Cloud Scheduler, Cloud Secret Manager, Artifact Registry, GCS — in a deployment or operations context - Experience with AWS services in an integration or operations context — Lambda, S3, SQS, Secrets Manager, CloudWatch; familiarity with Bedrock AgentCore or similar managed agent hosting infrastructure is a strong plus - Experience managing containerized workloads, including image lifecycle, dependency scanning, and supply chain security practices - Experience with incident management, on-call processes, and writing post-incident reviews   SKILLS & COMPETENCIES   Technical   - Strong scripting skills in Python, Bash, or Node.js for automation and tooling - Proficiency with Git, branching strategies, and version control best practices - Understanding of API-based integration patterns (REST, SOAP, event-driven) as they apply to MuleSoft, Workato, or similar iPaaS tools - Hands-on familiarity with secrets management across GCP Secret Manager and AWS Secrets Manager; strong grasp of security best practices in CI/CD contexts (least-privilege IAM, no hardcoded credentials, key rotation) - Monitoring and observability tooling experience (Datadog, Splunk, Google Cloud Monitoring, CloudWatch, or similar) - Infrastructure-as-code proficiency — Terraform or CloudFormation; experience applying IaC to Cloud Run or Lambda-based workloads preferred - Familiarity with container security practices: base image pinning, vulnerability scanning (e.g., Artifact Registry, Trivy), and dependency management for AI-generated codebases   Operational & Mindset   - Ownership: Takes full accountability for platform uptime, deployment quality, and the operational health of GTM infrastructure end-to-end. - Velocity: Operates with a bias for action — ships iteratively, reduces toil systematically, and keeps release cycles fast and predictable. - AI & Automation mindset: Actively leverages AI-assisted tooling and automation to accelerate delivery, improve reliability, and reduce manual overhead across the GTM stack. - Collaboration: Fluent cross-functional partner to developers, architects, Security, IT, and business stakeholders — enables autonomy without becoming a bottleneck. - Growth: Continuously evaluates new tooling, patterns, and practices to raise the bar on platform engineering and developer experience.   WHAT YOU'LL WORK WITH   - Salesforce: Core GTM CRM platform; this role owns deployment pipelines, environment management, and release reliability across orgs. - NetSuite: ERP platform integrated into the quote-to-cash flow; managed via SuiteScript/SuiteBundler within CI/CD standards. - MuleSoft (Anypoint Platform): Integration middleware; this role maintains deployment pipelines and observability for MuleSoft-managed flows. - Workato: iPaaS automation platform; monitored and deployed within the broader GTM reliability framework. - GCP (Cloud Run, Cloud Scheduler, Secret Manager, Artifact Registry, GCS): Primary cloud platform for AI agent workloads and integration microservices. - AWS (Lambda, S3, EventBridge, Secrets Manager, Bedrock AgentCore): Secondary cloud environment for agent hosting and integration operations. - GitHub Actions / GitLab CI / Copado: CI/CD tooling used to build, validate, and promote changes across GTM platforms. - Terraform / CloudFormation: IaC tooling for repeatable, auditable infrastructure provisioning. - Datadog / Splunk / Google Cloud Monitoring / CloudWatch: Observability and alerting stack across GTM and cloud workloads. Equal Opportunity Employer ClickUp is an Equal Opportunity Employer, and qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin. Privacy Notice ClickUp collects and processes personal data in accordance with applicable data protection laws. You can find further details by viewing our Global Candidate Privacy Notice. https://clickup.com/careers-terms/candidate-privacy-notice If you are a Philippine Job Applicant, please also see our Philippine Data Privacy Notice https://t333.s.clickup-attachments-stg.com/t333/d9a53ce2-6d2c-48cd-84b1-ed4e525f9613/Philippine%20Data%20Privacy%20Notice_2024.pdf?view=open for further details. Visa Sponsorship Please note we are unable to sponsor or take over sponsorship of an employment visa for roles outside of engineering and product at this time. Sponsorship for engineering and product roles is not guaranteed, but is instead based on the business needs for that specific role at that time. Please reach out to the recruiter with any questions. Fraud Alert ClickUp Talent Acquisition will only initiate contact via an @clickup.com http://clickup.com email or through our official careers portal on clickup.com http://clickup.com. We will never request fees, payments, or sensitive personal information. Please disregard any offers received outside these channels and report them to support@clickup.com. AI Processing Notice ClickUp may use artificial intelligence and machine learning technologies to help review and screen candidates' employment applications against role-related criteria. These tools support, but do not replace, human decision‑making. If you have questions or need an accommodation in the recruitment process, please contact us at AskPeople@ClickUp.com.

Location: United States Workplace: Remote At ClickUp, we're building the future of work: the first truly converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI. We are an AI-native company. Every team member is expected to leverage AI daily, and we evaluate AI fluency as part of our hiring process. Join us and help redefine what's possible. 🚀 JOB SUMMARY   As a Business Systems Engineer on the GTM Engineering team, you will design, build, and operate the automation and AI systems that power ClickUp's Go-To-Market business — spanning core business products and the integration platforms that connect them. This role is AI-native at its core: you won't just maintain existing workflows, you'll actively advance our GTM systems with intelligent agents, LLM-powered automations, and next-generation integration patterns built on MCP, ClickUp Super Agents, and modern iPaaS tooling.   You'll sit at the intersection of business systems architecture and applied AI — partnering with Sales, Finance, Revenue Operations, and fellow GTM Systems engineers to eliminate toil, accelerate revenue workflows, and build the automated, AI-augmented infrastructure the company runs on. This is a hands-on engineering role for someone deeply fluent in enterprise business systems, excited about deploying production AI, and committed to genuine ownership of the platforms they build — directly supporting GTMSOE's broader mission of operational excellence across the GTM org.   KEY RESPONSIBILITIES   AI-NATIVE AUTOMATION & AGENT DEVELOPMENT   - Design and build AI-powered automations and agentic workflows across the GTM tech stack — including Salesforce, NetSuite, Workato, and MuleSoft — to eliminate manual effort and accelerate business operations. - Develop and deploy ClickUp Super Agents and LLM-based automations to automate tasks such as deal data enrichment, quote generation assistance, order validation, revenue recognition triggers, and exception handling in quote-to-cash workflows. - Architect and implement MCP (Model Context Protocol) integrations that allow AI agents to interact with business systems contextually and safely — enabling intelligent, event-driven actions across the GTM platform. - Explore and evaluate emerging AI capabilities (RAG, fine-tuning, multi-agent orchestration) and determine which are production-ready for GTM business systems use cases. - Build reusable AI templates, automation patterns, and agent blueprints that can be extended across the GTM Engineering team.   BUSINESS SYSTEMS INTEGRATION & ARCHITECTURE   - Build and maintain integrations across Salesforce, NetSuite, Workato, MuleSoft, DealHub (CPQ), and other GTM platforms — with a strong bias toward clean architecture, low technical debt, and supportable design. - Own end-to-end integration patterns for critical business flows such as lead-to-opportunity, quote-to-cash, order-to-fulfillment, and revenue reporting pipelines. - Design data flows and transformation logic that keep business data accurate, consistent, and accessible across systems without creating fragile point-to-point dependencies. - Apply a build-vs-buy mindset: evaluate whether a given automation need is best solved with native platform capabilities, iPaaS tooling, or custom code — and make the case clearly.   PLATFORM DEVELOPMENT & TOOLING   - Build internal tooling, low-code/no-code solutions, and lightweight applications using platforms such as Retool, Replit, or similar to extend business systems capabilities with minimal overhead. - Write automation scripts and data transformation logic in Python, JavaScript, or Apex as needed to bridge gaps that platform tooling cannot address natively. - Utilize Zapier, Workato, and similar iPaaS platforms to orchestrate cross-system workflows that are maintainable, observable, and well-documented. - Own the full lifecycle of what you build: discovery, design, development, testing, deployment, documentation, and ongoing optimization.   RELIABILITY, OBSERVABILITY & CONTINUOUS IMPROVEMENT   - Monitor the health and performance of automations and integrations you own; proactively identify degradation, data inconsistencies, or failure patterns before they impact business operations. - Conduct root-cause analysis of integration failures or automation breakdowns and drive durable fixes — not just incident patches. - Maintain runbooks and operational documentation so that platform behavior is understandable and recoverable by the broader team. - Gather feedback from business stakeholders and iterate on existing automations to improve accuracy, reduce edge cases, and adapt to evolving GTM processes.   CROSS-FUNCTIONAL COLLABORATION & STAKEHOLDER ENGAGEMENT   - Partner with Sales, Revenue Operations, Finance, and Customer Success stakeholders to translate business requirements into well-scoped technical solutions. - Work closely with GTM Systems Engineering, DevOps, and BSA teammates on architecture decisions, intake prioritization, and delivery execution. - Contribute to the GTM Systems Engineering operating model: maintain task hygiene, communicate proactively on large initiatives, and log AI/automation work in the team's AI Excellence registry. - Serve as a subject matter expert for business systems automation and AI — educating stakeholders on what's possible and setting realistic expectations on scope and delivery.   QUALIFICATIONS   EXPERIENCE   - 3–5+ years in a business systems engineering, systems administration, or integration engineering role. - Demonstrated experience building and shipping automations or integrations that delivered measurable business value in production environments. - Hands-on experience with Salesforce and at least one ERP platform (NetSuite strongly preferred). - Experience deploying AI or LLM-powered automations in a production business systems context — or a clear, demonstrated trajectory toward it. - Experience working in a high-velocity environment where you manage multiple concurrent priorities and adapt quickly to changing business needs. - Optional but valued: experience with DealHub (CPQ), ClickUp, quote-to-cash workflows, or revenue operations systems.   SKILLS & COMPETENCIES   Technical   - Salesforce configuration, automation (Flow, Process Builder), Apex, and data model design — admin or developer-level proficiency required. - NetSuite workflows, SuiteScript, SuiteBundler, saved searches, and data model — particularly as it relates to order management, billing, and revenue recognition. - Hands-on experience with Workato, MuleSoft, Zapier, or comparable iPaaS platforms — including multi-step flows, error handling, and observability. - Practical experience with LLM APIs (OpenAI, Claude, etc.), prompt engineering, agentic workflow design, and MCP integrations. Experience with ClickUp Super Agents is a strong plus. - Proficient with Python, JavaScript, or Apex for automation scripting and data transformation; comfortable with REST APIs, webhooks, JSON, and OAuth-based integrations. - Strong understanding of business systems data models and integration patterns (event-driven, batch, real-time).   Operational & Mindset   - Ownership: You take full responsibility for the systems you build — from reliability and documentation to stakeholder trust and continuous improvement. You don't hand off and walk away. - Velocity: You move fast, iterate, and ship. You know when "good enough and deployed" beats "perfect and blocked," and you never sacrifice reliability or data integrity to get there. - AI & Automation mindset: You default to asking "how can an agent or LLM handle this?" before reaching for a manual workflow — experimenting confidently and evaluating critically. - Collaboration: You bridge the gap between technical architecture and business impact, asking clarifying questions, challenging assumptions respectfully, and earning trust with the stakeholders you support. - Growth: You stay current on emerging AI capabilities, evaluate what's production-ready, and continuously raise the bar on what GTM systems can do.   WHAT YOU'LL WORK WITH   - Salesforce: CRM platform — automations, Flow, Apex, data model, reporting, and CPQ/OTC integrations. - NetSuite: ERP platform — SuiteScript, workflows, order management, billing, and revenue recognition flows. - ClickUp Super Agents: AI-powered automation and agentic task orchestration within the ClickUp ecosystem. - Integration stack: Workato, MuleSoft, Zapier — recipe/flow development, cross-system orchestration, and platform observability. - AI & MCP tooling: LLM APIs, Model Context Protocol (MCP), agentic workflow design, and production AI integration patterns. - Low-code tooling: Retool, Replit, or similar for internal applications and workflow extensions. - Scripting & APIs: Python, JavaScript, Apex, REST/webhook integrations, and JSON-based data transformation. Equal Opportunity Employer ClickUp is an Equal Opportunity Employer, and qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin. Privacy Notice ClickUp collects and processes personal data in accordance with applicable data protection laws. You can find further details by viewing our Global Candidate Privacy Notice. https://clickup.com/careers-terms/candidate-privacy-notice If you are a Philippine Job Applicant, please also see our Philippine Data Privacy Notice https://t333.s.clickup-attachments-stg.com/t333/d9a53ce2-6d2c-48cd-84b1-ed4e525f9613/Philippine%20Data%20Privacy%20Notice_2024.pdf?view=open for further details. Visa Sponsorship Please note we are unable to sponsor or take over sponsorship of an employment visa for roles outside of engineering and product at this time. Sponsorship for engineering and product roles is not guaranteed, but is instead based on the business needs for that specific role at that time. Please reach out to the recruiter with any questions. Fraud Alert ClickUp Talent Acquisition will only initiate contact via an @clickup.com http://clickup.com email or through our official careers portal on clickup.com http://clickup.com. We will never request fees, payments, or sensitive personal information. Please disregard any offers received outside these channels and report them to support@clickup.com. AI Processing Notice ClickUp may use artificial intelligence and machine learning technologies to help review and screen candidates' employment applications against role-related criteria. These tools support, but do not replace, human decision‑making. If you have questions or need an accommodation in the recruitment process, please contact us at AskPeople@ClickUp.com.

Location: Bellevue Workplace: OnSite LIFE AT UIPATH The people at UiPath believe in the transformative power of automation to change how the world works. We’re committed to creating category-leading enterprise software that unleashes that power. To make that happen, we need people who are curious, self-propelled, generous, and genuine. People who love being part of a fast-moving, fast-thinking growth company. And people who care—about each other, about UiPath, and about our larger purpose. Could that be you? As a Principal Applied Scientist, you will lead the architecture, research, and productization of these next-generation ML systems, bridging deep research with deployment at scale and shaping the future of enterprise automation. What You Will Do • Define and drive technical strategy for agent-based automation, including how autonomous agents use LLMs, reinforcement learning, simulation environments, tool use, and multi-step reasoning to integrate with the UiPath platform. • Architect, prototype, and deploy advanced ML and AI systems, covering LLM fine-tuning, multimodal pipelines, computer-use modeling, agent orchestration frameworks, and decision-making systems. • Lead the design and implementation of ML infrastructure and services for model training, fine-tuning, large-scale inference, model serving, monitoring, drift detection, continuous learning loops, and ML operations for agentic systems. • Partner closely with product, engineering, design, and go-to-market teams to translate research advances into customer-facing capabilities. • Research state-of-the-art techniques in prompting, retrieval-augmented generation, chain-of-thought, tool use, long-term memory, and RL or imitation learning for agent behavior, and apply them to automation workflows. • Establish best practices, frameworks, and metrics for evaluating agentic systems, including offline evaluation, simulation environments, human-in-the-loop feedback, A/B testing, and cost, latency, and quality analysis. • Serve as a technical leader and mentor across ML engineering, data science, and software engineering, fostering a culture of experimentation, reproducibility, versioning, and rigorous evaluation. • Represent UiPath in the broader community through publications, open-source contributions, conference participation, and collaboration with academia or ecosystem partners. What We Are Looking For • Advanced degree (MS or PhD preferred) in Computer Science, Machine Learning, AI, or a related field, or equivalent experience. • 10+ years of industry experience in machine learning, including substantial experience building and operating ML systems in production. • Deep expertise in modern ML frameworks and libraries, strong proficiency in Python, and experience integrating ML models into large-scale software systems. • Proven experience with large language models or foundation models, including fine-tuning, data preparation, inference optimization, or model evaluation. • Experience with large datasets, distributed training or inference, scalable architecture design, and optimization for latency, throughput, and cost. • Excellent communication skills with the ability to translate complex ML concepts to product and business audiences. • Demonstrated technical leadership in mentoring, influencing strategy, balancing research with delivery, and driving high-impact outcomes. #LI-MH1 Maybe you don’t tick all the boxes above—but still think you’d be great for the job? Go ahead, apply anyway. Please. Because we know that experience comes in all shapes and sizes—and passion can’t be learned. Many of our roles allow for flexibility in when and where work gets done. Depending on the needs of the business and the role, the number of hybrid, office-based, and remote workers will vary from team to team. Applications are assessed on a rolling basis and there is no fixed deadline for this requisition. The application window may change depending on the volume of applications received or may close immediately if a qualified candidate is selected. We value a range of diverse backgrounds, experiences and ideas. We pride ourselves on our diversity and inclusive workplace that provides equal opportunities to all persons regardless of age, race, color, religion, sex, sexual orientation, gender identity, and expression, national origin, disability, neurodiversity, military and/or veteran status, or any other protected classes. Additionally, UiPath provides reasonable accommodations for candidates on request and respects applicants' privacy rights. To review these and other legal disclosures, visit our privacy policy https://www.uipath.com/legal/trust-and-security/privacy-policy.

Location: United States Workplace: remote About Lyra Health Lyra Health is a leading provider of evidence-based mental health care, serving more than 20 million people globally in partnership with employers and more than 100 million through health plan and partner relationships. The company has delivered more than 15 million sessions of mental health care, published more than 35 peer-reviewed studies, and delivered unmatched outcomes in terms of access, clinical effectiveness, and cost efficiency. Extensive peer-reviewed research confirms Lyra’s transformative care model helps people recover twice as fast and results in a 26% annual reduction in overall healthcare claims costs. Lyra is transforming access to life-changing mental health care through Lyra Empower, the only fully integrated, AI-powered platform combining the highest-quality care and technology solutions. About the Role We are looking for an experienced Senior AI/ML Engineer to spearhead the design, development, and deployment of next-generation AI capabilities for our platform. In this role, you won't just train models in a sandbox—you will architect robust, scalable production systems that integrate predictive analytics, Natural Language Processing (NLP), and Generative AI to solve complex, real-world problems. As a senior member of the team, you will bridge the gap between data science research and production-grade software engineering, while mentoring junior engineers and influencing our AI product roadmap.   Lyra is for you if you: Thrive on working with brilliant teammates to solve complex, meaningful problems Are passionate about making a social impact and supporting people at their most challenging moments Enjoy cross-functional collaboration with physicians, therapists, data scientists, data analysts and product managers Responsibilities Design, train, fine-tune, and evaluate deep learning, classical ML, and foundational GenAI models (LLMs, diffusion models) to drive core product features. Build, scale, and maintain robust ML pipelines for continuous training, evaluation, and real-time/batch inference using modern MLOps frameworks. Collaborate with backend and frontend teams to integrate AI models into microservices, ensuring low latency, high availability, and optimal resource utilization. Architect scalable data pipelines for preprocessing, vectorizing, and ingestion of massive structured and unstructured datasets. Implement rigorous evaluation frameworks for model alignment, bias mitigation, guardrailing, and cost/latency optimization (e.g., quantization, distillation). Provide technical leadership, conduct thorough code reviews, and mentor junior/mid-level engineers on best practices in software craftsmanship and ML engineering. Qualifications 6+ years of experience deploying ML/AI solutions in production environments Ability to write high-quality code in Python Experience building RAG (retrieval-augmented generation) based solutions Experience setting up and maintaining vector databases A strong desire to work on ML/AI based products A desire to learn new technologies quickly A thoughtful approach to balancing quality and deadlines in fast-paced settings Excellent communication skills with a talent for building consensus and alignment Strong organizational skills and the ability to distill complex problems into clear priorities that move the team and business forward Preferred Qualifications Experience defining and using Protobuf messages Experience working with Docker and deploying applications to Kubernetes Experience with relational and low-latency databases Experience working with Celery Experience building RAG (retrieval-augmented generation) based solutions Experience setting up and maintaining vector databases Experience writing production code in Java/Kotlin Experience building solutions on cloud infrastructure, particularly AWS Experience working with highly sensitive data in a healthcare environment "We are an Equal Opportunity Employer. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, age, disability, genetic information or any other category protected by law.   By applying for this position, you acknowledge that your personal information will be processed as per the Lyra Health Workforce Privacy Notice. Through this application, to the extent permitted by law, we will collect personal information from you including, but not limited to, your name, email address, gender identity, employment information, and phone number for the purposes of recruiting and assessing suitability, aptitude, skills, qualifications, and interests for employment with Lyra.  We may also collect information about your race, ethnicity, and sexual orientation, which is considered sensitive personal information under the California Privacy Rights Act (CPRA) and special category data under the UK and EU GDPR.  Providing this information is optional and completely voluntary, and if you provide it you consent to Lyra processing it for the purposes as described at the point of collection, for example for diversity and inclusion initiatives.  If you are a California resident and would like to limit how we use this information, please use the Limit the Use of My Sensitive Personal Information form.  This information will only be retained for as long as needed to fulfill the purposes for which it was collected, as described above. Please note that Lyra does not “sell” or “share” personal information as defined by the CPRA. Outside of the United States, for example in the EU, Switzerland and the UK, you may have the right to request access to, or a copy of, your personal information, including in a portable format; request that we delete your information from our systems; object to or restrict processing of your information; or correct inaccurate or outdated personal information in our systems. These rights may be subject to legal limitations. To exercise your data privacy rights outside of the United States, please contact globaldpo@lyrahealth.com. For more information about how we use and retain your information, please see our Workforce Privacy Notice." As a full-time Senior ML Engineer (ML/AI), you will be employed by Lyra Health, Inc. The anticipated annual base salary range for this full-time position is $143,000 to 197,000. The base range is determined by role and level, and placement within the range will depend on a number of job-related factors, including but not limited to your skills, qualifications, experience and location. This role may also be eligible for discretionary bonuses.  Annual salary is only one part of an employee’s total compensation package at Lyra. We also offer generous benefits that include: *Comprehensive healthcare coverage (including medical, dental, vision, FSA/HSA, life and disability insurances) *Lyra for Lyrians; coaching and therapy services *Equity in the company through discretionary restricted stock units *Competitive time off with pay policies including vacation, sick days, and company holidays *Paid parental leave *401K with up to 3% matching *Monthly tech allowance *We like to spread joy throughout the year with well-being perks and activities, surprise swag, regular community celebration…and more! We can’t wait to meet you.

Location: United States 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. Site Selection Manager 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, the Americas 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 Secure AI infrastructure before the market does. Demand for AI infrastructure continues to outpace supply. You'll identify and secure strategic opportunities before they become unavailable while balancing speed, scale, risk, and long-term flexibility. Expand the Nebius AI Cloud across the Americas. You'll evaluate emerging markets, develop regional acquisition strategies, and help shape where Nebius invests next as we scale across multiple geographies simultaneously. Structure transactions that accelerate deployment. You'll negotiate colocation agreements, build-to-suit developments, powered land acquisitions, and other infrastructure partnerships that enable AI capacity to come online faster. About the Role As a Site Selection Manager, you'll lead the acquisition of AI infrastructure opportunities across the Americas from market strategy through executed agreements. Working within the Infrastructure Acquisition Group, you'll identify new opportunities, negotiate complex transactions, and partner across Engineering, Energy, Finance, Legal, Technical Due Diligence, Project Development, and Delivery to bring new AI infrastructure online. This is a build-phase role on a build-phase team. Many of the standards, playbooks, and processes you'll use are still being written—in some cases, you'll help write them. We're looking for someone who can independently lead complex transactions while helping build the systems that make every future deal faster, more consistent, and more scalable. What You'll Own Own the acquisition of AI infrastructure opportunities across the Americas, from market strategy through executed agreements. Develop regional acquisition strategies and maintain a continuous pipeline of qualified colocation, build-to-suit, and powered land opportunities. Lead negotiations across multiple commercial structures, from initial engagement through signed agreements. Serve as transaction owner, leading cross-functional deal teams to keep parallel workstreams aligned and on schedule. Prepare investment recommendations and present commercial, financial, and strategic analyses to executive leadership. Infrastructure Origination Develop acquisition strategies for priority markets across the Americas. Identify, evaluate, and advance colocation, build-to-suit, powered land, and other strategic infrastructure opportunities. Build and maintain relationships with developers, brokers, utilities, landowners, economic development agencies, and infrastructure partners. Assess network connectivity as a core site-selection criterion — long-haul access, carrier availability, and route diversity — engaging the Network team for technical validation. Lead negotiations from initial engagement through executed agreements across multiple commercial structures. Market Strategy Develop market intelligence across power availability, utility constraints, network connectivity and fiber availability (proximity to long-haul routes, carrier and dark-fiber presence, and route diversity), permitting environments, land availability, incentives, and competitive market activity. Identify emerging AI infrastructure markets and recommend long-term acquisition strategies. Build and maintain a continuous pipeline of qualified infrastructure opportunities aligned with Nebius' growth objectives. Monitor regional market trends to support long-term infrastructure planning. Transaction Leadership Serve as the transaction owner from opportunity identification through executed agreements. Lead cross-functional transaction teams across Legal, Finance, Energy, Engineering, Network, Technical Due Diligence, Project Development, and Delivery. Drive transaction schedules, resolve commercial issues, and maintain momentum across multiple parallel workstreams. Structure commercial solutions that balance speed, flexibility, risk, and long-term value. Cross-Functional Collaboration Partner with the Technical Due Diligence team to complete technical evaluations and assess development risk. Partner with the Network team to validate connectivity feasibility and factor long-haul, dark fiber, and points-of-presence considerations into site and market selection. Partner with the Project Development team to transition projects into development and construction readiness. Collaborate with Finance on commercial modeling, investment analysis, and executive approval packages. Work with Legal to negotiate agreements that appropriately allocate commercial and development risk. What Success Looks Like Build a strong pipeline of qualified AI infrastructure opportunities across the Americas. Execute infrastructure transactions that accelerate Nebius' expansion into strategic markets. Develop trusted relationships with developers, utilities, brokers, and strategic infrastructure partners. Deliver acquisition recommendations that balance speed, cost, scale, flexibility, and long-term strategic value. Develop regional market strategies that create a repeatable pipeline of future infrastructure opportunities. Help build the standards and processes the Infrastructure Acquisition Group runs on as it scales. What You'll Bring You're comfortable operating in ambiguity and building processes where none exist. You know how to move complex transactions forward while helping define how future transactions should be executed. 8+ years of experience in data center site selection, commercial real estate, infrastructure development, or large-scale industrial development. Experience leading infrastructure or real estate transactions from opportunity identification through contract execution. Strong understanding of data center infrastructure, utility markets, land development, and commercial negotiations. Experience negotiating land acquisitions, leases, colocation agreements, build-to-suit transactions, or similar infrastructure agreements. Strong commercial judgment and the ability to balance technical, financial, and strategic considerations. Excellent communication and executive presentation skills. Demonstrated ability to lead complex cross-functional initiatives across multiple stakeholders. Bachelor's degree in Business, Finance, Real Estate, Engineering, or a related discipline, or equivalent experience. Preferred Qualifications Experience supporting hyperscale, AI infrastructure, digital infrastructure, or mission-critical development. Knowledge of utility infrastructure, transmission, substations, renewable energy development, or power markets. Familiarity with the connectivity drivers of data center site selection (power, fiber and network availability, route diversity) and the ability to partner effectively with network engineering teams. Experience with GIS platforms, infrastructure market intelligence, or portfolio planning. Familiarity with data center development, permitting, or infrastructure delivery. Pay Transparency We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law. Base Compensation Range $170,000 — $225,000 USD 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: San Francisco Workplace: Hybrid ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE As the Engineering Manager for Baseten's Cloud Platform team, you will directly manage a team of cloud platform engineers responsible for building the systems and processes that keep our infrastructure scalable, reliable, and efficient — from automated deployments and monitoring to performance optimization and incident response. You are a people-first leader with a strong cloud infrastructure background. You set a high bar for reliability and operational excellence, engage credibly in technical discussions and code reviews, and know how to build a culture of ownership and accountability. You'll spend most of your time close to the work: unblocking your team, shaping technical direction on day-to-day decisions, and developing your engineers. At Baseten, we work closely with our users to understand their struggles operationalizing ML — you'll keep your team connected to that mission and translate user learnings into better infrastructure.   RESPONSIBILITIES - Recruit, hire, and grow a high-performing team of cloud platform engineers; provide ongoing coaching, feedback, and career development through regular 1:1s. - Set clear performance expectations, hold a high bar, and create an environment where engineers do their best work. - Foster a culture of ownership, accountability, and continuous improvement. - Drive day-to-day technical decisions through design reviews, code reviews, and architectural discussions; translate the infrastructure roadmap into clear team priorities and milestones, and hold execution against them. - Establish standards and best practices for reliability, performance, and operational excellence; ensure the team owns projects end-to-end, from specification through production. - Exercise and encourage good judgment on tooling and architectural tradeoffs, with a bias against unnecessary complexity. - Partner with product and engineering teams to align infrastructure work with business priorities; represent your team's progress, capacity, and technical tradeoffs clearly to leadership. - Serve as the escalation point for major incidents; drive resolution with urgency, ensure the team learns systematically, and stay connected to users so those learnings feed back into infrastructure improvements.   REQUIREMENTS - Proven experience directly managing engineers in a cloud infrastructure, platform engineering, or SRE context (not managing managers). - Extensive hands-on experience with Kubernetes, with the ability to engage credibly in architectural discussions and code reviews. - Strong background building and maintaining scalable, production infrastructure. - Familiarity with infrastructure-as-code tools (e.g., Terraform, CloudFormation, Pulumi) and CI/CD tooling (e.g., GitHub Actions, GitLab CI, CircleCI, Jenkins). - Demonstrated ability to drive projects end-to-end — from specification to execution — and coach your team to do the same. - Strong written and verbal communication skills; able to influence across teams without direct authority. - Track record of recruiting and growing engineering talent. - Openness to learning about ML infrastructure; prior machine learning experience is not required.   NICE TO HAVE - Experience with OSS observability tooling (Prometheus, ELK stack, Grafana, OpenTelemetry). - Background in multi-cloud environments or GPU infrastructure. - Experience building and managing on-call rotations and incident response processes. BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

Location: Minsk; Warsaw; Tbilisi; Chișinău; Buсharest; Belgrade; lisbon Workplace: hybrid IDT is expanding its AI Lab and seeking a hands-on, highly experienced Senior Data Scientist with a proven track record of building new ML models from scratch and deploying them into real-time production. You will tackle complex problems across fraud prevention, payment risk, transaction scoring, personalization, and financial forecasting using large-scale transactional datasets. You will own the full modeling lifecycle — from problem framing through to production monitoring. Key Responsibilities: ML & Predictive Modeling: Design and build new models from the ground up (gradient boosting, neural networks, ensembles, anomaly detection) for anti-fraud, risk assessment, and personalization; maintain rigorous validation practices to prevent data leakage and overfitting. End-to-End & MLOps: Partner with Data Engineering and MLOps to operationalize models in production (batch and real-time/low-latency); build training, experiment tracking (MLflow), and model/data drift monitoring pipelines. Experimentation & Business Impact: Design A/B tests and statistical evaluations to measure model performance against key business metrics (reduced fraud losses, transaction acceptance rates, decision latency). R&D & Technical Leadership: Explore emerging techniques (LLMs/GenAI, graph-based methods), establish engineering best practices, and mentor fellow team members. Requirements (Must-Have): Experience: 5+ years of hands-on experience in Data Science / ML, with a strong focus on designing and building new ML models from scratch and delivering them into production with measurable business impact. English: B2+ (Upper-Intermediate or higher) — fluent written and spoken communication for technical discussions and daily collaboration with an international team. Math & Modeling Foundations: Deep understanding of statistics, probability, and validation methodologies; practical experience handling class imbalance, model calibration, and anomaly detection. Tech Stack: Python: Advanced proficiency (Scikit-learn, Pandas, NumPy); Deep Learning: Hands-on experience with PyTorch or TensorFlow; SQL: Complex queries and large-scale data manipulation; MLOps Tools: Experiment tracking and model lifecycle management (MLflow, ClearML, etc.). Education: Bachelor’s degree in Computer Science, Mathematics, Statistics, Engineering, or a related quantitative field. Nice-to-Have: Domain experience in FinTech, Payments, or Fraud Prevention: real-time transaction scoring and low-latency inference. Experience with cloud data platforms (Snowflake), Feature Stores, and event-driven architectures. Background in time-series forecasting, graph neural networks, Explainable AI (XAI), or applied LLM solutions. Master’s degree or Ph.D. in a quantitative discipline. We offer you: Remote b2b or hybrid (Belarus-Moldova) work opportunity! Stable job with long-term growth perspective. Competitive salary with annual performance review. Really good hardware. An exciting and challenging job with talented people around. Continuous learning and career growth opportunities. Compensation for professional training, seminars, and conferences. Referral program – get rewarded for helping us grow the team with talented people. Company-supported English classes to enhance your professional growth. More perks for the Minsk and Chisinau office employees. A few words about us:   IDT Corporation is a global communications company founded in 1990 and headquartered in Newark, New Jersey. We are industry leaders in prepaid communication and payment services and one of the largest international voice carriers. We are listed on the NYSE, employ over 1800 people across 20 countries, and have over $1.5 billion in revenues.    IDT is not ”another big IT corporation”— we encourage and support in-house entrepreneurs in developing their ideas into business actions.   Our flagship brand, BOSS Revolution, offers Money Transfer, International Calling, and Mobile Top-Up services and supports IDT’s mission of enabling people to keep in touch and share resources with family and friends worldwide. If you're looking for a company that will give you the maximum flexibility in choosing a location to work, this opportunity is for you!

Location: Singapore, Singapore OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX's sponsorship of a visa. Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About the Opportunity We are looking for a Database Administrator who will contribute to the design, deployment, optimisation, and full lifecycle management of enterprise-level cloud database platforms. You will implement multi-cloud architectures for Alibaba Cloud and AWS databases, ensuring high availability, high performance, and cost optimization. What You'll Be Doing Execute end-to-end database operations, including backup and recovery, monitoring and alerting, health checks, capacity planning, release support, lifecycle management, and operational documentation, ensuring database platforms meet business requirements for stability, performance, and availability. Drive database reliability and performance optimization, including SQL tuning, index optimization, schema review, workload analysis, slow-query analysis, and root-cause investigation for production incidents. Implement database security and governance controls, including access management, privilege review, audit logging, encryption, data masking, vulnerability remediation, and security baseline enforcement. Maintain, and regularly validate database backup, recovery, and disaster recovery solutions, including RPO/RTO planning, restore testing, cross-region/cross-zone replication, failover drills, and emergency recovery procedures. Deliver database migration, scaling, sharding, read/write splitting, high availability, and data distribution solutions for business-critical systems. What We Look For In You Bachelor's degree or above in Computer Science or a related field, with 4+ years of database management experience and 2+ years of cloud platform (Alibaba Cloud / AWS) experience. Proficiency in relational, NoSQL, and distributed database architectures; familiar with high-availability designs and proven experience delivering them in production. Deep understanding of mainstream database engine internals; strong hands-on database design, capacity planning, and architecture governance capabilities. Proficient in database performance tuning and optimization; experienced operating databases at high concurrency and large-scale data volumes.\Hands-on experience with MySQL, PostgreSQL, Redis, MongoDB, Elasticsearch, HBase, and Kafka. Strong Linux/Unix system administration skills, with proficiency in Python and Shell scripting; familiarity with Perl or PHP is a plus. Perks & Benefits Competitive total compensation package L&D programs and Education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! 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: Amsterdam, Netherlands; Germany; United Kingdom 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 role We're looking for a Senior Software Engineer to help us build the best Managed PostgreSQL for AI workloads. The service is already in production; the mission now is to make it the obvious choice for teams running AI applications on Postgres — first-class vector search, painless migrations from RDS / Cloud SQL / self-managed clusters, and the operational quality of a mature managed database. You'll work across the stack: control plane and lifecycle automation in Go, Postgres internals and performance, migration tooling, and the customer escalations where it actually matters. You're welcome to work from our offices in Amsterdam or London, hybrid or remotely from EU timezones. Your responsibilities : Develop the control plane and lifecycle automation for Managed PostgreSQL — provisioning, HA, failover, backups, PITR, version upgrades, zero-downtime maintenance. Tune and harden PostgreSQL itself — replication, WAL, vacuum, query planner, connection pooling, extensions — and turn that into product features and sane defaults customers don't have to think about. Build migration tooling that gets customers off AWS RDS, Google Cloud SQL, Azure Database for PostgreSQL, and self-managed clusters with minimal downtime. Drive the AI-Postgres story end to end — vector search (pgvector, pgvectorscale), hybrid retrieval, integration with the wider Nebius AI Cloud stack. Run the service like an SRE — define SLOs, build observability, lead incident response, feed every postmortem back into the platform. Work directly with customers on architecture reviews, performance escalations, and the production problems that don't fit a ticket template. Must-haves : 5+ years of professional software engineering experience, with significant time spent building or operating production PostgreSQL at scale (TB+ datasets, replication topologies, real failure modes you've debugged in production). Strong software engineering skills in Go or another backend/systems language, with a willingness to work primarily in Go. Deep knowledge of PostgreSQL internals: MVCC, WAL, replication (physical and logical), vacuum, query planning, extensions, partitioning. Hands-on experience with the surrounding ecosystem: Patroni / Stolon / pg_auto_failover, pgBackRest / WAL-G, pgBouncer / PgCat, logical replication tooling. The instincts of an ex-DBA — you can read EXPLAIN ANALYZE fluently, reason about lock behaviour, and know how to handle database corruptions. Ability to write reliable code and dig into complex problems. Teamwork-oriented approach. Nice - to - have s : Experience with pgvector and pgvectorscale — vector search at scale, index choice, recall vs. latency trade-offs. Background building managed-database control planes at a cloud provider (RDS, Cloud SQL, Aiven, Crunchy, Timescale, Supabase, Neon, or similar). Experience writing Kubernetes operators (Go + controller-runtime / kubebuilder). Contributions to PostgreSQL itself, popular extensions, or the surrounding OSS ecosystem. AI/ML workload experience — RAG pipelines, embedding stores, GPU-resident workloads. We conduct coding interviews as part of the process. 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: Malmö About Neo4j: Neo4j is the graph intelligence platform that transforms data into knowledge to power the next generation of intelligent applications and AI systems. It includes enterprise-ready knowledge graphs for accurate, explainable, and governed AI; the most comprehensive, trusted, and easy-to-deploy graph capabilities across any environment and data source; and an unmatched ecosystem trusted by 84 of the Fortune 100 and supported by the world’s largest graph community. Intelligence that works. Results that matter. Built to work everywhere and integrate with everything across every cloud for dynamic, personalized, and autonomous AI systems. We deliver quicker results, contextual knowledge, and solutions that impact customers and employees across the business. Our Vision: At Neo4j, we have always strived to help the world make sense of data. As business, society and knowledge become increasingly connected, our technology promotes innovation by helping organizations to find and understand data relationships. We created, drive and lead the graph database category, and we’re disrupting how organizations leverage their data to innovate and stay competitive. The Team: The IAM team is responsible for owning authentication and authorisation throughout Aura, right from the time you click sign up in the Console, all the way to the access controls on the cloud-hosted databases. Additionally, we often help unblock other teams by guiding them and building tools and solutions for their IAM-related challenges. We're evolving our existing IAM implementation into a dedicated architecture while continuing to support our current platform and deliver new features. This allows us to solve interesting engineering challenges around architecture, security, and scalability, with opportunities to contribute ideas and take ownership. The Role: We are looking for software engineers who are comfortable working on both frontend and backend features, solving problems and delivering features end to end. You'll have opportunities to take ownership of meaningful technical challenges, collaborate with other engineers and help shape how IAM capabilities are designed and delivered across Neo4j Aura. Previous IAM experience is highly desirable but not essential . If concepts such as JWT, OAuth 2.0, OIDC, RBAC, ABAC, SSO, and zero-trust authentication are familiar to you, that's a plus. If not, curiosity and a willingness to learn are what matter most. What You'll Do: Improve Neo4j Aura’s identity and access management platform. Build new features, both user facing and engineering driven. Write Python, Go and Typescript code with a strong focus on usability, scalability and efficiency. Work in a highly collaborative team of skilled engineers. Partner with members of other teams in Neo4j. What You'll Bring: Experience with either Go or Python with a willingness to work in any of our other programming languages. Solid software engineering fundamentals, including writing maintainable, well-tested code and taking features from planning through to delivery. Some familiarity with authentication and authorization concepts, whether through professional experience or personal projects. Deeper IAM expertise is welcome but not required. Experience or strengths in at least one area relevant to the role, such as IAM, cloud platforms, distributed systems, evolving legacy systems or breaking down monolithic architectures. A collaborative approach to engineering, including communicating ideas, asking questions, sharing knowledge and working with other teams to solve problems. Initiative and curiosity, with the ability to identify opportunities for improvement, contribute ideas and take ownership of delivering solutions. Technologies We Use: Frontend: React and Typescript Backend: Python (legacy services) and Go (new services) IdP: Auth0 Infrastructure: Kubernetes and Docker GCP, Azure and AWS Production experience with several of the technologies we use is desirable but not essential. #Li-Hybrid Why Join Neo4j? Neo4j is, without question, the most popular graph intelligence platform in the world. We have customers in every industry globally, and our products are a proven product/market fit. Joining our team is an opportunity to shape the future of data and analytics. Below are just a few exciting facts about Neo4j. Neo4j is one of the fastest-scaling technology companies in this industry. It recently surpassed $200M in annual recurring revenue (ARR), doubling its ARR over the past three years. Raised the biggest funding round in database history ($325M Series F). Backed by world-class investors like Eurazeo, GV (formerly Google Ventures), and Inovia Capital, Neo4j has raised over $600M in funding and is currently valued at over $2Bn. This puts Neo4j among the most well-funded database companies in history. 84% of the Fortune 100 and 58% of the Fortune 500 use Neo4j. Examples include Boston Scientific , BT Group , Caterpillar , Cisco , Comcast , Department for Education UK , eBay , NBC News , Novo Nordisk , Worldline , and others . Co-founder and CEO Emil Eifrem has built an amazing culture that prides itself on relationships, inclusiveness, innovation, and customer success. Countless industry awards . Massive enterprises and individual developers/data scientists love Neo4j. A strong sense of community and ecosystem is built around the platform. A recent Forrester Total Economic Impact™ Study cited Neo4j as delivering 417% ROI to customers. Research shows that members of underrepresented communities are less likely to apply for jobs when they don’t meet all the qualifications. If this is part of the reason you hesitate to apply, we’d encourage you to reconsider and give us the opportunity to review your application. At Neo4j, we are committed to building awareness and helping to improve these issues. One of our central objectives is to provide an inclusive, diverse, and equitable workplace for everyone to develop their potential and have a positive, career-defining experience. We look forward to receiving your application. Neo4j Values: Neo4j is a Silicon Valley company with a Swedish soul. We foster collaboration and each of us is empowered to contribute and put our innovative stamp on projects. We hire candidates who reflect the following Neo4j core values: (we)-[:VALUE]->(relationships) (we)-[:FOCUS_ON]->(userSuccess) (we)-[:THRIVE_IN]->(:Culture {type: [‘Open’, ‘Inclusive’]}) (we)-[:ASSUME]->(:Intent {direction:’Positive’}) (we)-[:WELCOME]->(:Discussions {nature: ‘IntellectuallyHonest’}) (we)-[:DELIVER_ON]->(ourCommitments) Neo4j is committed to protecting and respecting your privacy. Please read the privacy notice regarding Neo4j's recruitment process to understand how we will handle the personal data that you provide. More information at www.neo4j.com . ©2026 Neo4j, Inc., Neo Technology®, Neo4j®, Cypher®, Neo4j Bloom™, Neo4j Graph Data Science Library™, Neo4j® Aura™, and Neo4j® AuraDB™ are registered trademarks or a trademark of Neo4j, Inc. All other marks are owned by their respective companies.

Location: London About Neo4j: Neo4j is the graph intelligence platform that transforms data into knowledge to power the next generation of intelligent applications and AI systems. It includes enterprise-ready knowledge graphs for accurate, explainable, and governed AI; the most comprehensive, trusted, and easy-to-deploy graph capabilities across any environment and data source; and an unmatched ecosystem trusted by 84 of the Fortune 100 and supported by the world’s largest graph community. Intelligence that works. Results that matter. Built to work everywhere and integrate with everything across every cloud for dynamic, personalized, and autonomous AI systems. We deliver quicker results, contextual knowledge, and solutions that impact customers and employees across the business. Our Vision: At Neo4j, we have always strived to help the world make sense of data. As business, society and knowledge become increasingly connected, our technology promotes innovation by helping organizations to find and understand data relationships. We created, drive and lead the graph database category, and we’re disrupting how organizations leverage their data to innovate and stay competitive. The Team: The IAM team is responsible for owning authentication and authorisation throughout Aura, right from the time you click sign up in the Console, all the way to the access controls on the cloud-hosted databases. Additionally, we often help unblock other teams by guiding them and building tools and solutions for their IAM-related challenges. We're evolving our existing IAM implementation into a dedicated architecture while continuing to support our current platform and deliver new features. This allows us to solve interesting engineering challenges around architecture, security, and scalability, with opportunities to contribute ideas and take ownership. The Role: We are looking for software engineers who are comfortable working on both frontend and backend features, solving problems and delivering features end to end. You'll have opportunities to take ownership of meaningful technical challenges, collaborate with other engineers and help shape how IAM capabilities are designed and delivered across Neo4j Aura. Previous IAM experience is highly desirable but not essential . If concepts such as JWT, OAuth 2.0, OIDC, RBAC, ABAC, SSO, and zero-trust authentication are familiar to you, that's a plus. If not, curiosity and a willingness to learn are what matter most. What You'll Do: Improve Neo4j Aura’s identity and access management platform. Build new features, both user facing and engineering driven. Write Python, Go and Typescript code with a strong focus on usability, scalability and efficiency. Work in a highly collaborative team of skilled engineers. Partner with members of other teams in Neo4j. What You'll Bring: Experience with either Go or Python with a willingness to work in any of our other programming languages. Solid software engineering fundamentals, including writing maintainable, well-tested code and taking features from planning through to delivery. Some familiarity with authentication and authorization concepts, whether through professional experience or personal projects. Deeper IAM expertise is welcome but not required. Experience or strengths in at least one area relevant to the role, such as IAM, cloud platforms, distributed systems, evolving legacy systems or breaking down monolithic architectures. A collaborative approach to engineering, including communicating ideas, asking questions, sharing knowledge and working with other teams to solve problems. Initiative and curiosity, with the ability to identify opportunities for improvement, contribute ideas and take ownership of delivering solutions. Technologies We Use: Frontend: React and Typescript Backend: Python (legacy services) and Go (new services) IdP: Auth0 Infrastructure: Kubernetes and Docker GCP, Azure and AWS Production experience with several of the technologies we use is desirable but not essential. #Li-Hybrid Why Join Neo4j? Neo4j is, without question, the most popular graph intelligence platform in the world. We have customers in every industry globally, and our products are a proven product/market fit. Joining our team is an opportunity to shape the future of data and analytics. Below are just a few exciting facts about Neo4j. Neo4j is one of the fastest-scaling technology companies in this industry. It recently surpassed $200M in annual recurring revenue (ARR), doubling its ARR over the past three years. Raised the biggest funding round in database history ($325M Series F). Backed by world-class investors like Eurazeo, GV (formerly Google Ventures), and Inovia Capital, Neo4j has raised over $600M in funding and is currently valued at over $2Bn. This puts Neo4j among the most well-funded database companies in history. 84% of the Fortune 100 and 58% of the Fortune 500 use Neo4j. Examples include Boston Scientific , BT Group , Caterpillar , Cisco , Comcast , Department for Education UK , eBay , NBC News , Novo Nordisk , Worldline , and others . Co-founder and CEO Emil Eifrem has built an amazing culture that prides itself on relationships, inclusiveness, innovation, and customer success. Countless industry awards . Massive enterprises and individual developers/data scientists love Neo4j. A strong sense of community and ecosystem is built around the platform. A recent Forrester Total Economic Impact™ Study cited Neo4j as delivering 417% ROI to customers. Research shows that members of underrepresented communities are less likely to apply for jobs when they don’t meet all the qualifications. If this is part of the reason you hesitate to apply, we’d encourage you to reconsider and give us the opportunity to review your application. At Neo4j, we are committed to building awareness and helping to improve these issues. One of our central objectives is to provide an inclusive, diverse, and equitable workplace for everyone to develop their potential and have a positive, career-defining experience. We look forward to receiving your application. Neo4j Values: Neo4j is a Silicon Valley company with a Swedish soul. We foster collaboration and each of us is empowered to contribute and put our innovative stamp on projects. We hire candidates who reflect the following Neo4j core values: (we)-[:VALUE]->(relationships) (we)-[:FOCUS_ON]->(userSuccess) (we)-[:THRIVE_IN]->(:Culture {type: [‘Open’, ‘Inclusive’]}) (we)-[:ASSUME]->(:Intent {direction:’Positive’}) (we)-[:WELCOME]->(:Discussions {nature: ‘IntellectuallyHonest’}) (we)-[:DELIVER_ON]->(ourCommitments) Neo4j is committed to protecting and respecting your privacy. Please read the privacy notice regarding Neo4j's recruitment process to understand how we will handle the personal data that you provide. More information at www.neo4j.com . ©2026 Neo4j, Inc., Neo Technology®, Neo4j®, Cypher®, Neo4j Bloom™, Neo4j Graph Data Science Library™, Neo4j® Aura™, and Neo4j® AuraDB™ are registered trademarks or a trademark of Neo4j, Inc. All other marks are owned by their respective companies.

Location: Malmö About Neo4j: Neo4j is the graph intelligence platform that transforms data into knowledge to power the next generation of intelligent applications and AI systems. It includes enterprise-ready knowledge graphs for accurate, explainable, and governed AI; the most comprehensive, trusted, and easy-to-deploy graph capabilities across any environment and data source; and an unmatched ecosystem trusted by 84 of the Fortune 100 and supported by the world’s largest graph community. Intelligence that works. Results that matter. Built to work everywhere and integrate with everything across every cloud for dynamic, personalized, and autonomous AI systems. We deliver quicker results, contextual knowledge, and solutions that impact customers and employees across the business. Our Vision: At Neo4j, we have always strived to help the world make sense of data. As business, society and knowledge become increasingly connected, our technology promotes innovation by helping organizations to find and understand data relationships. We created, drive and lead the graph database category, and we’re disrupting how organizations leverage their data to innovate and stay competitive. The Team: Aura is Neo4j’s managed cloud platform, operating at scale with 800+ Kubernetes clusters across multiple clouds. At its core is Omni, the platform that powers Aura. Within it, the Platform Security team ensures developers have the tools and documentation to ship secure code and create services using a secure-by-design ethos. We’re hiring experienced engineers with a security mindset to expand our tooling, add new guardrails, and partner with Aura teams on secure design. The Role: Develop cloud-native controls in Azure, AWS and/or GCP to enforce the security baseline at scale, integrating with open-source and vendor tools as needed. Enhance product security along the software development lifecycle by creating “ paved roads ” and defining additional security and software excellence requirements for containerised services running on multiple managed Kubernetes clusters. Act as a subject matter expert for the Platform and Engineering teams by providing guidance on cloud and k8s services, secure infrastructure-as-code, modern secure AuthZ/AuthN techniques (i.e. SPIFFE) and secrets management solutions. Collaborate with other teams to define and implement Cloud/K8s native policies and procedures (i.e. Kyverno, Pod Security Standards). Conduct security assessments, audits and architecture reviews in order to introduce new cloud controls in the platform and make recommendations to improve the overall security posture. Support the incident detection and response process by maintaining cloud monitoring and alerting tooling and developing scripts needed for troubleshooting and resolution of incidents and security issues. The ideal candidate would have: Experience with Containers, Kubernetes, Infrastructure-as-Code and programming languages such as Go, Java and/or Python. Proven experience in a security engineering role with hands-on technical involvement, and exposure to decision making processes. An active interest and background in Cloud, Infrastructure and/or Network security. Proven track record with cloud-native authentication mechanisms (i.e. OIDC, OAuth2), secrets management, admission controllers, service mesh, mTLS and cloud based IAM solutions. Familiarity with securing and hardening K8s clusters, containerised applications and Linux hosts Demonstrated ability to architect cloud-native applications including the design of APIs and microservices on containers. # LI -Hybrid Why Join Neo4j? Neo4j is, without question, the most popular graph intelligence platform in the world. We have customers in every industry globally, and our products are a proven product/market fit. Joining our team is an opportunity to shape the future of data and analytics. Below are just a few exciting facts about Neo4j. Neo4j is one of the fastest-scaling technology companies in this industry. It recently surpassed $200M in annual recurring revenue (ARR), doubling its ARR over the past three years. Raised the biggest funding round in database history ($325M Series F). Backed by world-class investors like Eurazeo, GV (formerly Google Ventures), and Inovia Capital, Neo4j has raised over $600M in funding and is currently valued at over $2Bn. This puts Neo4j among the most well-funded database companies in history. 84% of the Fortune 100 and 58% of the Fortune 500 use Neo4j. Examples include Boston Scientific , BT Group , Caterpillar , Cisco , Comcast , Department for Education UK , eBay , NBC News , Novo Nordisk , Worldline , and others . Co-founder and CEO Emil Eifrem has built an amazing culture that prides itself on relationships, inclusiveness, innovation, and customer success. Countless industry awards . Massive enterprises and individual developers/data scientists love Neo4j. A strong sense of community and ecosystem is built around the platform. A recent Forrester Total Economic Impact™ Study cited Neo4j as delivering 417% ROI to customers. Research shows that members of underrepresented communities are less likely to apply for jobs when they don’t meet all the qualifications. If this is part of the reason you hesitate to apply, we’d encourage you to reconsider and give us the opportunity to review your application. At Neo4j, we are committed to building awareness and helping to improve these issues. One of our central objectives is to provide an inclusive, diverse, and equitable workplace for everyone to develop their potential and have a positive, career-defining experience. We look forward to receiving your application. Neo4j Values: Neo4j is a Silicon Valley company with a Swedish soul. We foster collaboration and each of us is empowered to contribute and put our innovative stamp on projects. We hire candidates who reflect the following Neo4j core values: (we)-[:VALUE]->(relationships) (we)-[:FOCUS_ON]->(userSuccess) (we)-[:THRIVE_IN]->(:Culture {type: [‘Open’, ‘Inclusive’]}) (we)-[:ASSUME]->(:Intent {direction:’Positive’}) (we)-[:WELCOME]->(:Discussions {nature: ‘IntellectuallyHonest’}) (we)-[:DELIVER_ON]->(ourCommitments) Neo4j is committed to protecting and respecting your privacy. Please read the privacy notice regarding Neo4j's recruitment process to understand how we will handle the personal data that you provide. More information at www.neo4j.com . ©2026 Neo4j, Inc., Neo Technology®, Neo4j®, Cypher®, Neo4j Bloom™, Neo4j Graph Data Science Library™, Neo4j® Aura™, and Neo4j® AuraDB™ are registered trademarks or a trademark of Neo4j, Inc. All other marks are owned by their respective companies.

Location: London About Neo4j: Neo4j is the graph intelligence platform that transforms data into knowledge to power the next generation of intelligent applications and AI systems. It includes enterprise-ready knowledge graphs for accurate, explainable, and governed AI; the most comprehensive, trusted, and easy-to-deploy graph capabilities across any environment and data source; and an unmatched ecosystem trusted by 84 of the Fortune 100 and supported by the world’s largest graph community. Intelligence that works. Results that matter. Built to work everywhere and integrate with everything across every cloud for dynamic, personalized, and autonomous AI systems. We deliver quicker results, contextual knowledge, and solutions that impact customers and employees across the business. Our Vision: At Neo4j, we have always strived to help the world make sense of data. As business, society and knowledge become increasingly connected, our technology promotes innovation by helping organizations to find and understand data relationships. We created, drive and lead the graph database category, and we’re disrupting how organizations leverage their data to innovate and stay competitive. The Team: Aura is Neo4j’s managed cloud platform, operating at scale with 800+ Kubernetes clusters across multiple clouds. At its core is Omni, the platform that powers Aura. Within it, the Platform Security team ensures developers have the tools and documentation to ship secure code and create services using a secure-by-design ethos. We’re hiring experienced engineers with a security mindset to expand our tooling, add new guardrails, and partner with Aura teams on secure design. The Role: Develop cloud-native controls in Azure, AWS and/or GCP to enforce the security baseline at scale, integrating with open-source and vendor tools as needed. Enhance product security along the software development lifecycle by creating “ paved roads ” and defining additional security and software excellence requirements for containerised services running on multiple managed Kubernetes clusters. Act as a subject matter expert for the Platform and Engineering teams by providing guidance on cloud and k8s services, secure infrastructure-as-code, modern secure AuthZ/AuthN techniques (i.e. SPIFFE) and secrets management solutions. Collaborate with other teams to define and implement Cloud/K8s native policies and procedures (i.e. Kyverno, Pod Security Standards). Conduct security assessments, audits and architecture reviews in order to introduce new cloud controls in the platform and make recommendations to improve the overall security posture. Support the incident detection and response process by maintaining cloud monitoring and alerting tooling and developing scripts needed for troubleshooting and resolution of incidents and security issues. The ideal candidate would have: Experience with Containers, Kubernetes, Infrastructure-as-Code and programming languages such as Go, Java and/or Python. Proven experience in a security engineering role with hands-on technical involvement, and exposure to decision making processes. An active interest and background in Cloud, Infrastructure and/or Network security. Proven track record with cloud-native authentication mechanisms (i.e. OIDC, OAuth2), secrets management, admission controllers, service mesh, mTLS and cloud based IAM solutions. Familiarity with securing and hardening K8s clusters, containerised applications and Linux hosts Demonstrated ability to architect cloud-native applications including the design of APIs and microservices on containers. # LI -Hybrid Why Join Neo4j? Neo4j is, without question, the most popular graph intelligence platform in the world. We have customers in every industry globally, and our products are a proven product/market fit. Joining our team is an opportunity to shape the future of data and analytics. Below are just a few exciting facts about Neo4j. Neo4j is one of the fastest-scaling technology companies in this industry. It recently surpassed $200M in annual recurring revenue (ARR), doubling its ARR over the past three years. Raised the biggest funding round in database history ($325M Series F). Backed by world-class investors like Eurazeo, GV (formerly Google Ventures), and Inovia Capital, Neo4j has raised over $600M in funding and is currently valued at over $2Bn. This puts Neo4j among the most well-funded database companies in history. 84% of the Fortune 100 and 58% of the Fortune 500 use Neo4j. Examples include Boston Scientific , BT Group , Caterpillar , Cisco , Comcast , Department for Education UK , eBay , NBC News , Novo Nordisk , Worldline , and others . Co-founder and CEO Emil Eifrem has built an amazing culture that prides itself on relationships, inclusiveness, innovation, and customer success. Countless industry awards . Massive enterprises and individual developers/data scientists love Neo4j. A strong sense of community and ecosystem is built around the platform. A recent Forrester Total Economic Impact™ Study cited Neo4j as delivering 417% ROI to customers. Research shows that members of underrepresented communities are less likely to apply for jobs when they don’t meet all the qualifications. If this is part of the reason you hesitate to apply, we’d encourage you to reconsider and give us the opportunity to review your application. At Neo4j, we are committed to building awareness and helping to improve these issues. One of our central objectives is to provide an inclusive, diverse, and equitable workplace for everyone to develop their potential and have a positive, career-defining experience. We look forward to receiving your application. Neo4j Values: Neo4j is a Silicon Valley company with a Swedish soul. We foster collaboration and each of us is empowered to contribute and put our innovative stamp on projects. We hire candidates who reflect the following Neo4j core values: (we)-[:VALUE]->(relationships) (we)-[:FOCUS_ON]->(userSuccess) (we)-[:THRIVE_IN]->(:Culture {type: [‘Open’, ‘Inclusive’]}) (we)-[:ASSUME]->(:Intent {direction:’Positive’}) (we)-[:WELCOME]->(:Discussions {nature: ‘IntellectuallyHonest’}) (we)-[:DELIVER_ON]->(ourCommitments) Neo4j is committed to protecting and respecting your privacy. Please read the privacy notice regarding Neo4j's recruitment process to understand how we will handle the personal data that you provide. More information at www.neo4j.com . ©2026 Neo4j, Inc., Neo Technology®, Neo4j®, Cypher®, Neo4j Bloom™, Neo4j Graph Data Science Library™, Neo4j® Aura™, and Neo4j® AuraDB™ are registered trademarks or a trademark of Neo4j, Inc. All other marks are owned by their respective companies.

Location: Singapore Workplace: OnSite ABOUT US Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia. We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do. Sierra was co-founded by Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/ who first met while working together at Google over 20 years ago. Bret currently serves as Chairman of the Board of Open AI. Previously, he was co-CEO of Salesforce and CTO of Facebook. Clay spent 18 years at Google, where he most recently led Google Labs. WHAT YOU'LL DO - Prospecting & lead generation: Identify and target potential customers through research, networking, and cold calling. Build new relationships with our enterprise customers and prospects to drive revenue, pipeline, and deployment capacity.   - Manage relationships: Build and maintain strong relationships with key decision-makers and stakeholders with our largest customers. Serve as their primary point of contact and exceed their expectations. - Negotiating & closing complex deal cycles: Lead negotiations with existing and prospective customers, address objections, and close deals. Navigate contracts and agreements quickly and effectively, working closely with legal and finance stakeholders. - Sales strategy & planning: Develop and execute sales strategies to meet or exceed sales targets. Craft tailored sales presentations and proposals that meet our enterprise customers' needs. Collaborate with our marketing team to implement effective sales campaigns and presentations. - Help define our sales motion: We’re an early team, and your work will directly impact how our GTM function operates and succeeds.  - Collaborate cross-functionally: Work closely with our broader GTM team, as well as our product, technical and operations orgs to deliver our industry-leading product. WHAT YOU'LL BRING - 10+ years of experience in an enterprise customer-facing sales role, identifying and closing large accounts. - Enterprise experience: Experience managing a $1M+ quota and running end-to-end complex deals. - Strong communication skills: Exceptional verbal and written communication abilities. - Analytical mindset: Ability to analyze market trends, identify opportunities, and make data-driven decisions. - Prospecting & lead generation: Proven track record of identifying and targeting potential enterprise clients through research, networking, and cold calling. EVEN BETTER... - Industry knowledge: Familiarity with the AI landscape, key players, and emerging trends. - Experience building GTM strategies: Building sales teams and sales motions from scratch, or from early-stage growth. OUR VALUES - Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work. - Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it. - Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve. - Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time. - Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements. WHAT WE OFFER We want our benefits to reflect our values and offer the following to full-time employees: - Flexible (unlimited) paid time off - Medical, dental, and vision benefits for you and your family - Life insurance and disability benefits - Retirement plan dependent on country of employment - Parental leave - Fertility and family building benefits - Lunch, as well as delicious snacks and coffee to keep you energized when working onsite - Discretionary benefit stipend giving people the ability to spend where it matters most - Free alphorn lessons These benefits are further detailed in Sierra's policies, may vary by region and employment type, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies. BE YOU, WITH US We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply through the link on this page even if your experience doesn't precisely match the job description. Sierra is a proud equal opportunity employer. All qualified applicants will receive consideration for employment without regard to any characteristic protected by applicable federal, state or local laws, including veteran status and disability status. Hiring decisions are made by people, based on merit. If you need a reasonable accommodation for a disability, a religious practice, pregnancy or any related condition at any point in the application or interview process, contact us at accommodations@sierra.ai. Requests are handled confidentially and do not affect your candidacy. We will consider qualified applicants with arrest and conviction records in accordance with applicable fair chance laws.

Location: Philippines Workplace: Remote Specright is the first purpose-built, patented platform for Specification Management. Whether it's packaging, raw materials, formulas, products, or machines, Specright helps companies digitize, map, and take action across their supply chain to reduce costs, increase profitability, and drive sustainability. Specright serves customers across industries, including packaging, food and beverage, consumer packaged goods, pharmaceutical, retail, industrials, and more. Role Summary Specright is hiring a Salesforce Implementation Engineer for our Professional Services Team. In this role, you will be responsible for managing Customer and Product Implementation configuration, including Specright and Salesforce. You will also work hand in hand with the Director of Professional Services and the Implementation Engineering Manager. You will work cross-functionally with teams including Sales, Marketing, Product Management, and Software Engineering. In this role, you will get the chance to work with customers such as Johnson & Johnson, P&G, and Caterpillar. This role is 100% remote and based in the Philippines. Responsibilities and Duties - Design, develop, and implement customized Salesforce solutions using Apex, Lightning Web Components (LWC), and Visualforce - Configure Salesforce features, including workflows, process builder, flows, validation rules, and security settings - Collaborate with business stakeholders to gather requirements and translate them into technical specifications - Integrate Salesforce with third-party systems using APIs, middleware, and data integration tools - Perform data migration, data cleansing, and data management tasks - Troubleshoot and resolve technical issues, bugs, and performance bottlenecks - Participate in code reviews and maintain high standards of code quality and documentation - Support deployment processes using tools such as Salesforce DX, CI/CD pipelines, and version control systems - Stay current with Salesforce platform updates, best practices, and emerging technologies Qualifications - Bachelor's degree in Computer Science, Information Systems, or related field (or equivalent experience) - 2+ years of hands-on Salesforce development experience - Strong proficiency in Apex, SOQL/SOSL, Lightning Components (Aura/LWC), and Visualforce - Experience with Salesforce configuration (Flows, validation rules, profiles, permission sets) - Familiarity with REST/SOAP APIs and integration patterns - Experience with version control systems (e.g., Git) and deployment tools - Strong problem-solving and analytical skills - Be an active learner - Highly accountable & attention to detail - Time management with respect to managing multiple projects at once - Ability to provide technical solutions for medium to high complexity projects We are an energetic company with an entrepreneurial, informal, versatile, intelligent, and fast-paced culture. We are a 100% remote company and promote an open and relatively flat organization with an emphasis on collaboration, sharing ideas, and information. It's more important to innovate than to worry about making mistakes. Specright is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Location: Brazil; Colombia; Argentina; Bolivia, Plurinational State of; Chile; Turkey This Engineer will be responsible to lead the enterprise performance engineering efforts to ensure system scalability, stability, reliability, and responsiveness across distributed cloud and hybrid environments. Responsible for designing and executing load, stress, endurance, and scalability testing strategies while identifying bottlenecks across applications, APIs, databases, and infrastructure. Works closely with Architecture, DevOps, QA, and Development teams to validate production readiness, optimize system performance, and support high-availability cloud deployments within Azure and AKS environments. Primary Tools Apache JMeter Akamai CloudTest Azure Load Testing Azure Application Insights Azure DB Metrics AKS Container Monitoring PowerShell Monitoring Scripts Requirements Key Skills Performance and scalability testing Distributed systems and API architecture Azure cloud and Kubernetes (AKS) Performance metrics analysis and tuning CI/CD and automated performance pipelines Troubleshooting and root cause analysis Lead , coach and Mentor Performance Engineer staff offshore Nice to Have Mortgage or FinTech industry experience Experience with enterprise SaaS platforms and high-volume transaction systems

Location: Remote - Colombia ; Remote - Costa Rica ; Remote - Mexico Backblaze is the object storage leader in the open cloud movement, fueling customer success with cloud storage built purposefully to unlock budgets, unburden administrators, and unleash innovators. Together with our partners, we’re helping customers break free from the restrictive, overpriced legacy solutions that hold them back, and blaze forward with the full power of the open cloud in their hands. Founded in 2007, we scaled the business with less than $3 million in outside funding until 2021, when we did a traditional IPO on the Nasdaq stock exchange. Today, Backblaze generates over $100m in revenue and is the leading specialized storage cloud - managing over three billion gigabytes of data storage for 500K+ customers in 175+ countries, including businesses, developers, IT professionals, and individuals. But while there is a lot to celebrate in our past, there is almost as much opportunity ahead of us. We are seeking a Sr. AI Security Engineer to join our team! About The Role Backblaze is seeking a Senior AI Security Engineer to design and implement safeguards for internal AI usage , with a focus on agentic systems, developer protection, and runtime security . This is a hands-on role for a practitioner who has built and deployed security controls , not just defined policy. You will enable teams to safely use AI by creating enforcement layers, identity controls, and detection capabilities that constrain and monitor AI-driven activity. What You’ll Do: Agentic AI Safeguards Architect and implement guardrails for tool-using AI systems , including: Tool access controls and allowlists Context and memory isolation Step-level validation of agent actions Apply mitigations aligned to the OWASP Agentic AI Top 10 (e.g., prompt injection, unsafe tool use, data leakage, excessive autonomy) Runtime Security Controls Build enforcement mechanisms that govern AI behavior at execution time: Interceptors, proxies, or middleware for tool/API calls Policy decision and enforcement layers Rate limits, execution bounds, and kill-switches Prevent unsafe or unauthorized actions initiated by AI systems Non-Human Identity (NHI) Design and implement identity and access controls for agents and automation , including: Short-lived credentials and scoped permissions Clear separation between human and non-human access Strong binding of identity to task context and execution Ensure all AI actions are attributable and auditable Observability & Detection Implement logging and tracing for AI activity : Prompts, tool usage, and decision flows Build detection capabilities using: Behavioral baselining and anomaly detection techniques Identify and alert on: Abnormal tool usage Suspicious prompt patterns Unexpected data access Threat Modeling (MAESTRO) Perform agentic system threat modeling using MAESTRO , including: Mapping agent capabilities, trust boundaries, and attack paths Modeling misuse and adversarial scenarios Translate findings into practical safeguards and detection logic Developer Safeguards Protect developers using AI tools by: Preventing sensitive data exposure Validating AI-generated code and actions Constraining unsafe automation Enable safe usage of AI-assisted development tools (e.g., Claude Code, Codex, Cursor ) with: Security validation layers Controlled prompting and output handling patterns The Right Fit: 7+ years in security engineering or backend systems Proven experience designing and deploying security controls , such as: Runtime enforcement layers (proxies, middleware, policy engines) Identity and access systems, especially for non-human entities Strong programming skills (Python preferred; Go, Java, or TypeScript a plus) Experience using AI-assisted development tools such as Claude Code in real workflows, including understanding associated security risks and safeguards Experience with: Logging, monitoring, and detection systems Building or securing API/service interactions Practical familiarity with: Agentic AI systems or tool-integrated LLM workflows OWASP guidance for AI/agent risks Practitioner Knowledge Experience applying (not just referencing): OWASP Agentic AI / LLM risk guidance NIST AI RMF concepts in real systems CSA guidance on workload and machine identity Strong understanding of: Zero Trust for non-human identities Secrets management and credential scoping Observability tooling (e.g., OpenTelemetry, ELK) Bonus Points For: Experience securing internal AI platforms or developer-facing AI tools Background in detection engineering, threat hunting, or adversarial testing Familiarity with agent frameworks (e.g., LangChain, LlamaIndex) Experience mentoring engineers and guiding secure design At this point, we hope you're feeling excited about the job description you're reading. Even if you don't meet every requirement, we still encourage you to apply. Learning, developing, and growing are key parts of our culture. We're eager to meet people who believe in our mission and can contribute to our team in various ways. We want people to feel comfortable expressing their true selves and to come, stay, and do their best work here. At Backblaze, we value being fair and good to our customers, partners, and employees. That’s why diversity, equity, and inclusion are at the core of our values. We are committed to fostering a workforce where all employees feel a sense of belonging regardless of race, ethnicity, nationality, gender, sexual orientation, age, religion, socio-economic status, ability, veteran status, and education. We believe that our dedication to cultivating a diverse workspace not only allows us to better serve our customers in over 175 countries, but further reinforces our commitment to doing the right thing. We are proud to be an Equal Opportunity Employer. To understand more about the data we collect and process as part of your application, please view our Backblaze Employee Privacy Notice. #LATAM