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Location: Singapore, Singapore 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 Lead infrastructure architecture and core platform development for the AI Native era, covering CI/CD, AIOps, observability, and monorepo engineering. Build platforms that support multiple programming languages across host-based and containerized environments. Use platform engineering, intelligent tooling, and automated quality controls to enable developers and AI agents to work together, improving developer productivity, software quality, and production reliability. What You’ll Be Doing Infrastructure Architecture and Evolution: Define platform architecture, technical standards, and roadmaps, balancing scalability, reliability, security, and cost. Lead critical component design, hands-on development, and implementation across teams. AI Native Engineering Capabilities: Connect code, documentation, dependencies, test results, and runtime data into usable engineering context. Expose capabilities through APIs, CLIs, and SDKs for developers and agents to understand and review code, run tests, and resolve issues. Establish task evaluations, output validation, and execution permissions. Infrastructure for Multiple Languages: Build extensible toolchains, dependency management, testing, and delivery capabilities for ecosystems such as Go, Java, Python, C++, and Rust. Use standard protocols and SDKs to support communication across languages, interface compatibility, and consistent telemetry, reducing platform integration effort. Monorepo and Build Systems: Define repository structure, module boundaries, dependency policies, and code ownership to support changes across modules and independent service releases. Apply practices from systems such as Bazel and Buck2 to deliver incremental and reproducible builds, affected-test selection, remote caching, and remote execution. CI/CD and Quality Engineering: Build shared platforms for builds, tests, artifacts, and releases across hosts and containers. Improve configuration governance, automated quality gates, progressive delivery, health verification, and rollback to shorten delivery cycles and reduce change risk. Observability and Reliability: Unify metrics, logs, traces, and profiling, linking telemetry to code, configuration, dependencies, and deployments. Establish SLIs, SLOs, error budgets, and alerting practices, and feed production findings back into engineering quality improvements. AIOps and Automated Remediation: Combine telemetry, topology, change history, and operational knowledge to enable anomaly detection, incident investigation, root cause analysis, and controlled remediation. Use incident replay, evaluation, and feedback to reduce recovery time and repetitive operational work. What We Look For In You Bachelor’s degree in Computer Science or a related field, or equivalent practical experience. At least 8 years of infrastructure or platform engineering experience, including 3 years in architecture or technical leadership. Deep expertise in at least one of CI/CD, build systems, observability, or AIOps, with experience designing, implementing, and operating large production systems. Strong knowledge of Linux, networking, distributed systems, and troubleshooting. Experience with deployment, configuration management, resource isolation, and production diagnostics in host-based and Kubernetes environments. Experience building infrastructure for multiple languages, with an understanding of toolchain, dependency, and runtime differences. Ability to design shared platform interfaces and extensible language integrations. Familiarity with open-source infrastructure practices originating at Google or Meta, such as build and dependency management with Bazel or Buck2, or cross-language communication and interface contracts with gRPC and Protocol Buffers. Experience evaluating, integrating, or optimizing relevant technologies. Experience with automated testing, quality gates, and release engineering, using observability and reliability measures to improve delivery workflows. Practical experience applying LLMs or agents to engineering workflows, including context construction, tool use, task orchestration, evaluation, and safe execution. Proficiency in at least one of Go, Python, Java, C++, or Rust, with strong hands-on coding and debugging skills. Ability to drive implementation through design reviews, technical guidance, and collaboration across teams. Nice to Haves Experience at Google, Meta, or other leading technology companies, and a background in infrastructure, developer productivity, or AI Native engineering platforms, are preferred. Leading large monorepos, build platforms supporting multiple languages, remote execution platforms, or enterprise developer productivity platforms. Building AI-powered code review, test generation, incident diagnosis, or automated remediation systems and validating them in production. Operating large environments spanning hosts and containers, improving software supply chain security, or contributing to relevant open-source projects. 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: United States Senior Engineering Manager, Data & AI Lead the engineering team behind Foundry, Insights, Intel, and Voice: the agents, analytics, and data intelligence of the modern freight platform. About the Role Remote, United States. Some travel is required for team onsites, customer visits, and industry events. Relocation assistance is not provided. The Senior Engineering Manager, Data & AI leads the engineering group behind Foundry, Insights, Intel, and Voice. You'll own the group's technical strategy, delivery, and quality, hire and develop its engineers, and stay hands-on by prototyping, writing evals, reading traces, and reviewing architecture in depth. The team is about eight engineers today and growing. It also owns the shared foundation those products run on: a context graph that connects loads, trips, carriers, drivers, customers, documents, and conversations; event-sourced platform data streaming into the warehouse; and the evals, tracing, guardrails, and model routing every agent depends on. Alvys facilitates more than $1 billion in funds every month across invoices, carrier payments, and driver settlements. Behind that volume is one of the richest operational datasets in freight. This team turns it into agents that do real work and intelligence customers can't get anywhere else. Engineering leaders at Alvys are builders. Expect to spend about a third of your time building. You'll set the standard for how an AI-first team works: coding agents in the daily workflow, evals before scale, and production evidence over demos. The platform runs on .NET (C#, and increasingly F#), TypeScript, and Python on Azure and AKS, with Cosmos DB, Postgres, Elasticsearch, Snowflake, dbt, and Fivetran underneath. We're looking for someone who treats AI as a first-class material, both in what we build for customers and in how the engineering team works. Industry Insight Freight runs on phone calls, emails, PDFs, and tribal knowledge. The U.S. trucking industry is worth approximately $1 trillion today and is projected to grow by roughly 60% to nearly $1.5 trillion over the next decade. Yet the work that moves that freight is still largely manual. Nearly 580,000 active U.S. motor carriers operate in a highly fragmented market; 91.5% run 10 or fewer trucks, and 99.3% run 100 or fewer. Few of these businesses will ever build a data team of their own. Every check call answered, rate confirmation read, and exception caught by software is time back for a small team running on thin margins. Freight data is also structurally messy. A single load spans brokers, carriers, drivers, shippers, and documents, each with its own identifiers, and the truth lives across EDI messages, phone calls, and free text. Generic AI tooling doesn't model any of this. That's why we're building a context graph grounded in how freight actually moves. Agents can now answer the phone, read documents, query operational data, and take actions inside a TMS. In freight, those actions move trucks and money. They must be correct, auditable, and safe. About Alvys Alvys is building the operating system for modern freight. Our AI-powered, cloud-native platform brings dispatch, driver mobile, safety and compliance, billing and settlements, native EDI, reporting, integrations, and automation into one product. We were founded in 2020 by freight industry insiders who were tired of software built by people who had never moved a load. That combination of deep customer empathy and ambitious technology still defines us. We visit customers, learn how the work actually happens, prototype quickly, debate ideas openly, and turn the best ones into products people rely on. More than 3,000 trucking and brokerage companies use Alvys today, including larger fleets with increasingly sophisticated operations. We've raised $77M to date, including a $40M Series B. That gives us real momentum and room to make bold bets, while remaining early enough that a great engineering leader can materially shape the product, team, and company. We are building more than a modern interface for a traditional TMS. Foundry, our agent platform within Alvys, helps freight teams make decisions and complete work, and this team builds it. You'll work with curious, direct, low-ego people who solve hard problems, move quickly from prototype to production, and measure customer impact. Our Principles AI makes building cheap. It does not make judgment cheap. The constraint has moved from writing code to deciding what to build and proving it is right. Agents belong in the middle of the pipeline. People remain accountable at both ends. These principles turn that into how we work every day. Own the outcome You own what you ship. "AI wrote it" is not an answer. Judgment stays human. People decide what matters and whether the result is correct. Verify independently Generation and verification are separate. Tests, review, and approval run independently of the agent that did the work. Autonomy is earned per workflow. Agents advance only on measured precision against human-verified outcomes. No number, no promotion. Design for control AI-first means security-first. Customer data stays on approved infrastructure under managed identity. Cost is an engineering constraint. Every shared workflow has termination conditions and bounded fan-out. Build durable systems Knowledge is tool-agnostic. Reviewed intent lives once; vendor-specific machinery is generated from it. Multiple vendors are a design assumption. Durable workflows don't couple to one model or harness. Twice is a pattern. Automate repeated work and share it within 48 hours. The Data & AI Portfolio The Data & AI portfolio covers Foundry, our embedded automation and agent platform, including a unified agent chat that answers questions and takes actions; Insights, conversational analytics grounded in each customer's own operating data; Intel, proprietary data intelligence drawn from third-party, licensed, and proprietary data sources; and Voice, AI voice and chat agents for load status, driver check calls, and the follow-ups in between. It also includes the shared foundation: the context graph, the data platform that feeds it, and the evals, tracing, guardrails, and model routing behind every agent. Why This Role Few engineering leadership roles combine frontier AI work, a proprietary dataset, and an industry this underserved. This one does. You build at the frontier, in production. Context graphs, self-learning agents, voice agents, and agentic automation are still being figured out across the industry. Here you ship them to real customers, on live freight operations, not benchmarks. You work with data no one else has. More than 3,000 trucking and brokerage companies run on Alvys, and more than $1 billion in funds moves through the platform every month. Combined with third-party and licensed sources, that data is the raw material for intelligence no single fleet or brokerage could build alone. Your work changes how an industry operates. With 91.5% of carriers running 10 or fewer trucks, most of our customers will never hire a data team. The agents you build give a small business the leverage of a much larger one. You own a portfolio, not a feature. Four products share one platform. You set its architecture, choose its models and vendors, and decide where the team invests as it grows. You shape the team from the start. The group is about eight engineers today. You'll hire the next wave and set the standard for how an AI-first engineering team works at Alvys. You stay close to the decisions. You report to the Head of Engineering, work directly with customers and our Forward Deployed Engineering team, and have a direct line into company planning, backed by a $40M Series B. What You'll Be Responsible For Leading and Growing the Team Manage, coach, and develop a team of about eight engineers, including senior engineers and tech leads, and grow it as the portfolio expands. Hire senior and staff engineers, and keep the quality bar high as the team scales. Run the team AI-first, with coding agents in the daily workflow and clear standards for how AI-written code is reviewed, tested, and shipped. Owning Technical Strategy Set technical direction for agents, data, and the context graph, and make the build, buy, and model calls with cost, quality, and speed in view. Make tradeoffs across four products that share one platform, including what gets built, what gets cut, and where the team invests. Building Agents That Learn Own the agent development lifecycle from prototype to production to continuous improvement. Build self-learning loops so agents improve from outcomes, user corrections, and transcripts, and make that improvement measurable. Make evals a release gate. No agent ships without tests for quality, safety, latency, and cost. Data and the Context Graph Own the context graph that links loads, trips, carriers, drivers, customers, documents, and conversations, and the entity resolution that keeps it trustworthy. Partner on the data platform that feeds it, including event streams, CDC into Snowflake, data quality, and lineage, so agents and analytics share one source of truth. Capture decision traces (the inputs gathered, the rule applied, any exception, who approved it, and why) so precedent becomes searchable for agents and people, while rules stay explicit. Combine third-party, licensed, and proprietary data sources into intelligence customers can act on, with the provenance, licensing terms, and tenant boundaries of each source respected. Safety, Isolation, and Reliability Design agents that change data with scoped permissions, human approvals, and audit trails, and defend against prompt injection and tool misuse. Enforce tenant isolation and least privilege across every agent, tool, and data path. Own reliability and unit economics. Track cost per task, per call, and per tenant, and keep margins healthy as usage grows. Staying Hands-On Spend about a third of your time building: prototype, write evals, read traces, and debug production. Review your team's designs and code with real depth, and stay current on models and tools, separating what works in production from what demos well. Cross-Functional Partnership Work as a peer to product and design leadership on direction, architecture, sequencing, and delivery. Work directly with customers and our Forward Deployed Engineering team, and turn repeated patterns into platform features. The AI Fluency We Expect We measure AI fluency by how you verify, not by how much you use AI. More autonomy is not always better. You match the level of autonomy to the risk of the work, and you hold yourself and the team to the same five competencies. Delegation: You decide whether to use AI at all, which task to hand off, and how much autonomy it gets. Description: You state goals, requirements, and limits clearly, from a single prompt up to project instructions, specs, and policy. Discernment: You check output against evidence: diffs, acceptance checks, evals, and production monitoring. Diligence: You own the effects, including data access, permissions, memory isolation, budgets, and kill switches. Systems: You know how models, context, tools, harnesses, and memory work, and where each one fails. How You Work With Agents Design multi-agent systems on paper before you build them. For each step, choose a rule, a small model, a frontier model, or a person, and measure cost per outcome, not cost per token. Start from code-orchestrated workflows and add model-led autonomy only where the task needs exploration. Keep agent-to-agent handoffs few, and give each agent a contract: inputs, allowed tools, and output schema. Put limits in code, not in prompts: hooks, sandboxed worktrees, and a stop condition, retry cap, and budget on every loop. Separate the agent that writes from the agent that checks, and give the checker fresh context. Work in an explore, plan, execute, verify, and compound rhythm, where every correction becomes a rule, skill, hook, or test. Move fluently across Claude Code, Codex, and Cursor, and choose an editor-first or agent-first surface based on who should hold the controls for the next step. Where You Take the Team Bring every engineer to running goal-based loops, where specs and checks are written first, never weakened to pass, and run by the agent itself. Move the team from steering every turn to designing the system that steers the agent: its context, its harness, and its loop. Build toward agents that run continuously in hosted sandboxes, each with its own least-privilege identity, a named owner, a budget, and a tested kill switch, with risk-scaled human review on financial actions, auth, settlements, and customer data. Close the improvement loop. Capture traces, run error analysis on real failures every week, encode the fixes, and gate every change to rules, memory, or evals behind evals and a human approver. Self-improving never means self-approving. Minimum Qualifications 8+ years building software, including 3+ years managing engineers. You've grown senior engineers and tech leads and remain a hands-on builder who can prototype, debug production, and review code credibly. Production LLM systems. You've shipped LLM-powered products to real users, not demos, and can explain what broke, what you measured, and what you changed. Agentic engineering in your own work. You build with coding agents every day and can show the multi-agent workflows, contracts, hooks, and loops you put into production, and the checks that kept them honest. Depth in agent systems. You've built with tool use, function calling, MCP, orchestration, memory, and retrieval, and you understand where agents fail. Evaluation discipline. You've built eval systems that combine offline suites, online metrics, human review, and transcript analysis, and used them to gate releases. Strong data engineering judgment. You've worked with event streams, CDC, cloud warehouses, dbt, and data quality, and you know how the shape of the data limits what models can do. Distributed systems in production. You've designed and operated production services with real reliability requirements. Multi-tenant security. You've secured multi-tenant SaaS and isolated customer data, and you treat agent permissions as a security boundary. Language fluency. You write Python or TypeScript fluently and are comfortable reading C#, F#, and .NET. Experience with F# or another functional language is a plus. Startup-stage fit. You've operated at Series B/C velocity amid ambiguity, thin support, competing priorities, and a bias toward shipping and learning. Clear technical communication. You can explain a tradeoff to an engineer, a customer, and an executive. Preferred Qualifications Knowledge graphs, context graphs, entity resolution, or GraphRAG in production. Real-time voice agents, including telephony, speech-to-text, text-to-speech, turn-taking, and latency budgets. Fine-tuning, reinforcement learning from feedback, or prompt optimization against eval sets. Embedded automation or workflow platforms such as Activepieces, n8n, or Temporal. SRE experience, or a record of running systems other teams depend on. Logistics or freight experience, or another vertical where data is deeply entangled with operations. Founder or early-stage engineering leadership experience. A history of hiring, growing, and retaining excellent engineers. Built by people who've moved freight. Come build the intelligence layer with us. Learn more at alvys.com

Location: Hong Kong, Hong Kong SAR 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 Lead infrastructure architecture and core platform development for the AI Native era, covering CI/CD, AIOps, observability, and monorepo engineering. Build platforms that support multiple programming languages across host-based and containerized environments. Use platform engineering, intelligent tooling, and automated quality controls to enable developers and AI agents to work together, improving developer productivity, software quality, and production reliability. What You’ll Be Doing Infrastructure Architecture and Evolution: Define platform architecture, technical standards, and roadmaps, balancing scalability, reliability, security, and cost. Lead critical component design, hands-on development, and implementation across teams. AI Native Engineering Capabilities: Connect code, documentation, dependencies, test results, and runtime data into usable engineering context. Expose capabilities through APIs, CLIs, and SDKs for developers and agents to understand and review code, run tests, and resolve issues. Establish task evaluations, output validation, and execution permissions. Infrastructure for Multiple Languages: Build extensible toolchains, dependency management, testing, and delivery capabilities for ecosystems such as Go, Java, Python, C++, and Rust. Use standard protocols and SDKs to support communication across languages, interface compatibility, and consistent telemetry, reducing platform integration effort. Monorepo and Build Systems: Define repository structure, module boundaries, dependency policies, and code ownership to support changes across modules and independent service releases. Apply practices from systems such as Bazel and Buck2 to deliver incremental and reproducible builds, affected-test selection, remote caching, and remote execution. CI/CD and Quality Engineering: Build shared platforms for builds, tests, artifacts, and releases across hosts and containers. Improve configuration governance, automated quality gates, progressive delivery, health verification, and rollback to shorten delivery cycles and reduce change risk. Observability and Reliability: Unify metrics, logs, traces, and profiling, linking telemetry to code, configuration, dependencies, and deployments. Establish SLIs, SLOs, error budgets, and alerting practices, and feed production findings back into engineering quality improvements. AIOps and Automated Remediation: Combine telemetry, topology, change history, and operational knowledge to enable anomaly detection, incident investigation, root cause analysis, and controlled remediation. Use incident replay, evaluation, and feedback to reduce recovery time and repetitive operational work. What We Look For In You Bachelor’s degree in Computer Science or a related field, or equivalent practical experience. At least 8 years of infrastructure or platform engineering experience, including 3 years in architecture or technical leadership. Deep expertise in at least one of CI/CD, build systems, observability, or AIOps, with experience designing, implementing, and operating large production systems. Strong knowledge of Linux, networking, distributed systems, and troubleshooting. Experience with deployment, configuration management, resource isolation, and production diagnostics in host-based and Kubernetes environments. Experience building infrastructure for multiple languages, with an understanding of toolchain, dependency, and runtime differences. Ability to design shared platform interfaces and extensible language integrations. Familiarity with open-source infrastructure practices originating at Google or Meta, such as build and dependency management with Bazel or Buck2, or cross-language communication and interface contracts with gRPC and Protocol Buffers. Experience evaluating, integrating, or optimizing relevant technologies. Experience with automated testing, quality gates, and release engineering, using observability and reliability measures to improve delivery workflows. Practical experience applying LLMs or agents to engineering workflows, including context construction, tool use, task orchestration, evaluation, and safe execution. Proficiency in at least one of Go, Python, Java, C++, or Rust, with strong hands-on coding and debugging skills. Ability to drive implementation through design reviews, technical guidance, and collaboration across teams. Nice to Haves Experience at Google, Meta, or other leading technology companies, and a background in infrastructure, developer productivity, or AI Native engineering platforms, are preferred. Leading large monorepos, build platforms supporting multiple languages, remote execution platforms, or enterprise developer productivity platforms. Building AI-powered code review, test generation, incident diagnosis, or automated remediation systems and validating them in production. Operating large environments spanning hosts and containers, improving software supply chain security, or contributing to relevant open-source projects. 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: US / Remote Workplace: remote About the Company Born from groundbreaking research at Columbia University and Yale University, CertiK is a leading Web3 security company focused on securing blockchain protocols, smart contracts, and decentralized applications through cutting-edge security research, formal verification, and AI-powered technology. Founded in 2017 and headquartered in New York City, CertiK provides end-to-end security solutions including smart contract audits, penetration testing, on-chain monitoring, incident response, and compliance services for some of the largest projects in the digital asset ecosystem. Today, CertiK supports thousands of enterprise clients and Web3 projects globally, with a distributed international team spanning North America, Asia, and Europe. The company is backed by leading investors including Coatue, Goldman Sachs, Insight Partners, and Sequoia Capital, and has been recognized by organizations such as the World Economic Forum and CB Insights for its contributions to blockchain security innovation.  About the Role CertiK’s security consulting team helps blockchain projects and institutions secure their smart contracts, applications, and Web3 infrastructure. We are looking for a Project Manager to manage the delivery of security engagements and keep clients, security engineers, sales and internal teams aligned from kickoff through final report delivery. In this role, you will oversee timelines, maintain project documentation, and serve as the primary point of contact for clients across multiple engagements. You will track progress, follow up on outstanding actions, and keep stakeholders informed to ensure engagements are delivered on time and to a high standard, while providing a smooth client experience. Responsibilities Coordinate the full lifecycle of security engagements, including kickoff, timeline planning, milestone tracking, report delivery, and closure. Coordinate with security engineers, sales and other internal teams to confirm project requirements and ensure smooth handoffs at each stage. Identify and escalate project risks such as delays or scope changes, follow through to ensure timely resolution and help refine delivery processes over time. Maintain regular communication with clients, providing status updates, confirming timelines and managing change requests. Lead client meetings such as kickoff calls and report reviews, support security engineers in presenting findings and remediation recommendations, and coordinate follow-up assessments and retests. Requirements 3+ years of project management experience, with at least 1 year in the blockchain industry. Solid understanding of smart contracts, blockchain security, penetration testing and the ability to discuss technical issues with both security engineers and clients. Proven track record of managing multiple projects simultaneously and coordinating work across multiple teams. Experience in client-facing project roles, with strong interpersonal and communication skills. Experience collaborating with distributed teams across multiple time zones. Professional fluency in written and spoken English. Bonus Points Experience at a cybersecurity industrials, particularly in security consulting or assessment delivery. Familiarity with the broader Web3 ecosystem, including major blockchains and DeFi protocols. Experience working with institutional clients, including financial institutions and enterprises. Proficiency in additional languages, such as Mandarin, Spanish, or Portuguese. The expected annual base salary range for this position in the United States is $90,000 to $120,000. Compensation for candidates outside the United States will be determined based on location, experience, and qualifications.   #blockchain #startups #hiring   CertiK accepts applications for this position on an ongoing basis.   In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.   CertiK is proud to be an equal opportunity employer. We will not discriminate against any applicant or employee on the basis of age, race, color, creed, religion, sex, sexual orientation, gender, gender identity or expression, medical condition, national origin, ancestry, citizenship, marital status or civil partnership/union status, physical or mental disability, pregnancy, childbirth, genetic information, military and veteran status, or any other basis prohibited by applicable federal, state or local law.   CertiK will consider for employment qualified applicants with criminal histories in a manner consistent with local and federal requirements. https://www.eeoc.gov/sites/default/files/migrated_files/employers/poster_screen_reader_optimized.pdf   All CertiK employees are expected to actively support diversity on their teams, and in the Company.

Location: Paris; London Workplace: Hybrid ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. THE ROLE As a Customer Success Manager (CSM) at Mistral, you will be responsible for managing a portfolio of enterprise customers, ensuring they achieve their goals using Mistral’s solutions. You will serve as the primary point of contact for customers, driving adoption, satisfaction, and long-term success.  This role is ideal for those who excel in customer-facing environments, enjoy solving complex challenges, and are passionate about turning customer success into business impact. WHAT YOU WILL DO CUSTOMER SUCCESS OWNERSHIP - Manage a portfolio of enterprise customers, ensuring they maximize the value of Mistral’s AI solutions. - Build strong, trusted relationships with key stakeholders, understanding their business objectives and tailoring solutions to meet their needs. - Lead customer onboarding, adoption, and ongoing engagement to drive product usage and satisfaction. - Monitor customer health metrics, identify risks, and proactively address challenges to prevent churn. - Collaborate with Sales to identify upsell and cross-sell opportunities based on customer needs and usage patterns. - Partner with Product and Engineering teams to gather customer feedback and influence the product roadmap. - Develop and deliver customer training, enablement programs, and best practices to drive adoption. - Conduct regular business reviews (QBRs) to align on goals, challenges, and success metrics. STRATEGIC CUSTOMER GUIDANCE - Serve as a trusted advisor to customers, guiding them on how to leverage Mistral’s AI solutions to achieve their business outcomes. - Work closely with Support and Product teams to ensure seamless customer experiences, from deployment to production. - Create and execute customer success plans with clear KPIs, timelines, and measurable outcomes. - Advocate for customer needs internally, ensuring their voice is heard in product and strategic discussions. CROSS-FUNCTIONAL COLLABORATION - Share customer insights with Product, Sales, and Engineering teams to inform product improvements and strategic initiatives. - Clear obstacles for customers during deployment and adoption phases, accelerating time-to-value. - Support renewal processes, including contract negotiations, expansion discussions, and coordination with internal teams. WHAT WE'RE LOOKING FOR - 5+ years of experience in customer-facing roles, such as Customer Success, Account Management, or Solutions Consulting, ideally in a technical or SaaS environment. - Proven ability to manage enterprise customer relationships, with a focus on driving adoption, satisfaction, and retention. - Experience working with technical products, with the ability to engage confidently with Data, IT, and Engineering teams. - Strong communication and presentation skills, including the ability to tailor messaging for technical and executive audiences. - Business acumen: Ability to identify upsell and expansion opportunities while ensuring customer success. - Technical aptitude: Familiarity with AI/ML concepts is a plus; ability to understand and discuss technical requirements is essential. - Hands-on, customer-centric, collaborative, and organized, with a passion for solving complex challenges. WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: Remote, Canada GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. As a Commercial Account Executive, Mid-Market, you’ll be the primary point of contact for prospective and existing customers in our mid-market segment, helping organizations modernize how they plan, build, secure, and ship software with GitLab’s AI-powered DevSecOps platform. You’ll own a broad book of business in your territory and serve as a strategic, trusted advisor to your accounts as you prospect, run complex sales cycles, and guide customers on their journey with GitLab to achieve clear business outcomes while supporting adoption and reducing churn. You’ll collaborate closely with Sales Development, Solutions Consultant, Renewals, Partners, and Sales leadership, using value-based selling and structured sales methodologies (such as MEDDPICC) to build a healthy pipeline, run accurate forecasts, and support revenue goals across a wide range of deal sizes. Must be located in Canada. What you’ll do Own and manage a broad Commercial book of business as the primary point of contact in your territory, focusing only on expansion opportunities. Focus on customer accounts with with low to modest current investments in Gitlab in an effort to grow and expand our partnership Articulate the value of GitLab’s AI-powered DevSecOps platform to Commercial prospects and customers, tailoring messaging to their business and technical needs. Build and maintain a healthy pipeline through consistent prospecting, qualification, and advancement of opportunities, using structured methodologies (such as MEDDPICC and Command of the Message) to support your pipeline and revenue goals. Document buying criteria, decision processes, next steps, and key stakeholders to run disciplined, well-orchestrated sales cycles. Collaborate with sales development, customer success, renewals, marketing, technical teams, and partners to deliver a cohesive pre- and post-sales experience, co-sell and close opportunities, and expand GitLab’s footprint while delivering added value for customers. Support customer adoption of GitLab solutions, proactively work to reduce churn and contraction, and participate in quarterly forecasting and territory planning. Contribute to continuous improvement by sharing win/loss insights, updating the sales handbook, and being a clear voice of the customer into the product via our public issue tracker. What you’ll bring Experience selling SaaS solutions by leading value-based conversations with technical and business stakeholders, ideally including development or DevSecOps teams. Ability to manage a broad mid-market territory as the primary point of contact, owning a book of business from prospecting through close, adoption, and expansion. Skill in building and maintaining strong customer relationships, including effective discovery, negotiation, and closing to support long-term customer outcomes. Comfortable driving consistent outbound prospecting activity, creating and maintaining a healthy pipeline, and maintaining accurate territory and forecast documentation. Ability to collaborate closely with cross-functional partners (sales development, customer success, renewals, marketing, partners, and technical teams) to coordinate account strategies. Clear and structured communication skills, including presenting the GitLab value proposition to different audience levels and documenting customer insights and lessons learned. Interest in GitLab, open source, and tools that support software development, with the ability to connect customer business challenges to GitLab’s DevSecOps platform. The ability to travel for events such as trainings, team off sites, customer meetings, etc. About the team The Commercial Account Executive - Mid-Market role focuses on helping mid-market customers adopt and expand their use of our AI powered DevSecOps platform. You’ll be part of a dedicated Canadian team of Account Executives, Sales Development, Solution Consultants, Renewals, and Partners to manage a broad book of business and a wide range of opportunity sizes. Our mission is to guide customers through their journey with GitLab, from first evaluation to long term value realization, by developing new business, strengthening customer relationships, and supporting healthy product adoption. We collaborate closely through shared playbooks, our sales handbook, and GitLab itself to stay aligned on territory plans, pipeline health, and best practices. For more on how we work, see the Commercial Account Executive Handbook . Remote-Global How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Location: Bellevue, United States q What you'll do: Conduct supplier selection for a specific product, leveraging our approved supplier list Partner with strategic suppliers to accelerate product development via activities such as: Concept scoping to quickly solidify requirements Feature trade-off / trade tables Should cost / Clean sheet models Joint design development, via clear statements of work Drive the development and consolidation of a manufacturing BOM, working with Quality & Manufacturing, to ramp production internally and with our suppliers with high flexibility Accountable for all NPI component procurement, on-time and correctly, to scale Manage the CAPEX throughout NPI Conduct value-stream mapping to optimize supply network lead time and flexibility Complete the BOM risk assessment, include alternate component sourcing, etc. Ensure completion of all vendor component qualifications, ahead of production Reduce complexity: commonality optimization & component/supplier rationalization Lead all cost engineering activities to converge the bottoms-up cost curve to product cost, maximizing the total cost of ownership (TCO) across the product lifecycle Manage ad-hoc cost issues e.g., tariffs / import export cost, and cost inflation Required qualifications: 5+ years of experience, ideally has background within: Design & development of electronics and/or mechanical devices Advanced sourcing activities, including stints as commodity/sourcing managers Supplier development (technology, process, supply chain, etc.) Early supplier engagement, ahead of product/engineering requirement realization Domain expertise must include value/procurement engineering or TCO-related work at the component & product level. Familiarity with developing high-tech products in a high-mix, low-volume environment Strong understanding of contracting processes and developing stages of program management Ability to navigate complex contractual landscapes and manage program impacts across multiple stakeholders Excellent stakeholder management and communication skills Strong financial management skills, including budget development and tracking Bachelor’s degree in engineering (BSME, BSEE) or other related technical degree preferred. Willingness to travel as needed (up to 25%) Eligible to obtain and maintain an active U.S. Secret clearance Preferred qualifications: Proven track record in designing and implementing best practices that drive operational efficiency and sustainable growth Experience with both hardware and software development lifecycles PMP certification or equivalent preferred

Fluidstack is looking for a Development Manager to lead site due diligence, contracts, and delivery planning across multiple data center projects.

Location: United States, San Mateo, CA Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Senior Director, Legal - Global Privacy & Data Counsel San Mateo, CA or London, England | Hybrid - 2+ days per week in your designated office Full relocation assistance available for qualified candidates Role Summary: Leading SIE’s Global Legal Privacy program, you will play a pivotal role in shaping and advancing this function, which is central to our mission as a data-driven technology and entertainment company. You will develop, implement, and maintain comprehensive privacy policies, procedures, and practices that reflect industry best practices, comply with applicable data protection laws and regulations, and support SIE’s business objectives. Working collaboratively with teams around the world, you will help embed strong data privacy stewardship across the organization through your leadership, passion, and expertise. What You’ll Be Doing: Lead the Privacy Team: Lead a team of professionals spanning legal, operations and compliance, and data governance. Provide strong leadership to build a well-functioning team. Privacy Program Development: Design, implement, and evolve a robust and forward-thinking privacy program tailored to the specific needs of SIE’s multi-faceted, data-driven business. Provide senior leadership in communicating company's vision, strategy, and objectives for data privacy and data husbandry to stakeholders across SIE. Regulatory Compliance: Stay up to date with evolving global privacy laws and regulations, including GDPR, CCPA, and other regional data protection requirements. Ensure the company's policies and practices remain compliant with the changing legal landscape. Privacy by Design: Advocate privacy-by-design principles and ensure that privacy considerations are integrated into the development of new products, services, and technologies, working closely with product counselors, product managers, business function leaders and SIE’s ESG team. Privacy Policies and Procedures: Create and review privacy policies, notices, consent forms, and related documentation to ensure transparency and compliance with relevant data protection laws. Collaborate with Legal, Compliance, and other teams to disseminate these policies throughout the organization and to customers. Employee Training and Awareness: Conduct privacy training programs for employees and management to promote a privacy-aware culture. Foster awareness of privacy responsibilities and best practices throughout the organization. Vendor Management: Develop and evolve SIE’s processes to assess the privacy practices of vendors and third-party partners to ensure that data processing agreements and contracts comply with privacy and SIE’s Information Security requirements. Privacy Impact Assessments: Oversee the conduct of privacy impact assessments (PIAs) to identify and mitigate privacy risks associated with the company's data processing activities. Incident Response: Develop and maintain an effective incident response plan for privacy breaches. Coordinate with the Incident Response team to manage and mitigate privacy incidents and associated risks. Reporting and Accountability: Provide regular reports on the status of the privacy program to executive leadership and the board of directors. Be a focal point of contact for privacy-related inquiries from regulators and customers. What We’re Looking For: Juris doctor degree; bachelor or advanced degree in computer science, information technology, or a related field. An advanced degree is a plus. 20+ years of legal experience and 10+ years proven experience in a senior privacy leadership role, preferably as a Chief Privacy Officer or Privacy Officer, within a data-driven technology company or relevant industry. In-depth knowledge of global privacy laws and regulations, such as GDPR, CCPA, and other regional frameworks. Broad knowledge of emerging requires in the APAC region a strong plus. Demonstrated ability to design and implement comprehensive privacy programs that align with industry best practices, laws and regulations and data use requirements typical of a company like SIE. Experience in building an incident response process with partnership with the CISO or similar function; experience managing privacy incidents. Experience conducting privacy impact assessments and building processes for such assessments that will easily scale. Excellent communication and interpersonal skills, with the ability to interact effectively with stakeholders at all levels of the organization. Strong leadership qualities, with the ability to influence and drive change in a collaborative environment. Privacy-related certifications such as CIPP, CIPM, CIPT, or other relevant certifications are highly desirable. #LI-SF1 At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more. The estimated base pay range for this role is listed below. $302,400 — $453,600 USD Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Location: United States What you'll do: Conduct supplier selection for a specific product, leveraging our approved supplier list Partner with strategic suppliers to accelerate product development via activities such as: Concept scoping to quickly solidify requirements Feature trade-off / trade tables Should cost / Clean sheet models Joint design development, via clear statements of work Drive the development and consolidation of a manufacturing BOM, working with Quality & Manufacturing, to ramp production internally and with our suppliers with high flexibility Accountable for all NPI component procurement, on-time and correctly, to scale Manage the CAPEX throughout NPI Conduct value-stream mapping to optimize supply network lead time and flexibility Complete the BOM risk assessment, include alternate component sourcing, etc. Ensure completion of all vendor component qualifications, ahead of production Reduce complexity: commonality optimization & component/supplier rationalization Lead all cost engineering activities to converge the bottoms-up cost curve to product cost, maximizing the total cost of ownership (TCO) across the product lifecycle Manage ad-hoc cost issues e.g., tariffs / import export cost, and cost inflation Required qualifications: 5+ years of experience, ideally has background within: Design & development of electronics and/or mechanical devices Advanced sourcing activities, including stints as commodity/sourcing managers Supplier development (technology, process, supply chain, etc.) Early supplier engagement, ahead of product/engineering requirement realization Domain expertise must include value/procurement engineering or TCO-related work at the component & product level. Familiarity with developing high-tech products in a high-mix, low-volume environment Strong understanding of contracting processes and developing stages of program management Ability to navigate complex contractual landscapes and manage program impacts across multiple stakeholders Excellent stakeholder management and communication skills Strong financial management skills, including budget development and tracking Bachelor’s degree in engineering (BSME, BSEE) or other related technical degree preferred. Willingness to travel as needed (up to 25%) Eligible to obtain and maintain an active U.S. Secret clearance Preferred qualifications: Proven track record in designing and implementing best practices that drive operational efficiency and sustainable growth Experience with both hardware and software development lifecycles PMP certification or equivalent preferred

Location: United Kingdom, London Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Senior Director, Legal - Global Privacy & Data Counsel San Mateo, CA or London, England | Hybrid - 2+ days per week in your designated office Full relocation assistance available for qualified candidates Role Summary: Leading SIE’s Global Legal Privacy program, you will play a pivotal role in shaping and advancing this function, which is central to our mission as a data-driven technology and entertainment company. You will develop, implement, and maintain comprehensive privacy policies, procedures, and practices that reflect industry best practices, comply with applicable data protection laws and regulations, and support SIE’s business objectives. Working collaboratively with teams around the world, you will help embed strong data privacy stewardship across the organization through your leadership, passion, and expertise. What You’ll Be Doing: Lead the Privacy Team: Lead a team of professionals spanning legal, operations and compliance, and data governance. Provide strong leadership to build a well-functioning team. Privacy Program Development: Design, implement, and evolve a robust and forward-thinking privacy program tailored to the specific needs of SIE’s multi-faceted, data-driven business. Provide senior leadership in communicating company's vision, strategy, and objectives for data privacy and data husbandry to stakeholders across SIE. Regulatory Compliance: Stay up to date with evolving global privacy laws and regulations, including GDPR, CCPA, and other regional data protection requirements. Ensure the company's policies and practices remain compliant with the changing legal landscape. Privacy by Design: Advocate privacy-by-design principles and ensure that privacy considerations are integrated into the development of new products, services, and technologies, working closely with product counselors, product managers, business function leaders and SIE’s ESG team. Privacy Policies and Procedures: Create and review privacy policies, notices, consent forms, and related documentation to ensure transparency and compliance with relevant data protection laws. Collaborate with Legal, Compliance, and other teams to disseminate these policies throughout the organization and to customers. Employee Training and Awareness: Conduct privacy training programs for employees and management to promote a privacy-aware culture. Foster awareness of privacy responsibilities and best practices throughout the organization. Vendor Management: Develop and evolve SIE’s processes to assess the privacy practices of vendors and third-party partners to ensure that data processing agreements and contracts comply with privacy and SIE’s Information Security requirements. Privacy Impact Assessments: Oversee the conduct of privacy impact assessments (PIAs) to identify and mitigate privacy risks associated with the company's data processing activities. Incident Response: Develop and maintain an effective incident response plan for privacy breaches. Coordinate with the Incident Response team to manage and mitigate privacy incidents and associated risks. Reporting and Accountability: Provide regular reports on the status of the privacy program to executive leadership and the board of directors. Be a focal point of contact for privacy-related inquiries from regulators and customers. What We’re Looking For: Juris doctor degree; bachelor or advanced degree in computer science, information technology, or a related field. An advanced degree is a plus. 20+ years of legal experience and 10+ years proven experience in a senior privacy leadership role, preferably as a Chief Privacy Officer or Privacy Officer, within a data-driven technology company or relevant industry. In-depth knowledge of global privacy laws and regulations, such as GDPR, CCPA, and other regional frameworks. Broad knowledge of emerging requires in the APAC region a strong plus. Demonstrated ability to design and implement comprehensive privacy programs that align with industry best practices, laws and regulations and data use requirements typical of a company like SIE. Experience in building an incident response process with partnership with the CISO or similar function; experience managing privacy incidents. Experience conducting privacy impact assessments and building processes for such assessments that will easily scale. Excellent communication and interpersonal skills, with the ability to interact effectively with stakeholders at all levels of the organization. Strong leadership qualities, with the ability to influence and drive change in a collaborative environment. Privacy-related certifications such as CIPP, CIPM, CIPT, or other relevant certifications are highly desirable. #LI-SF1 At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIE’s top-tier benefits package that includes paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more. The estimated base pay range for this role is listed below. £302,400 — £453,600 GBP Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Location: Argentina About Improvado Improvado is an AI-powered marketing data platform built for mid-market and enterprise teams. We help companies automate complex marketing data workflows, unify data at scale, and surface insights through BI and AI. Brands like Genentech, T-Mobile, Activision, and H&R Block rely on us to simplify analytics and improve marketing performance. We’re a fast-growing Series A startup backed by $34M in funding and driven by a team that moves fast, stays curious, and cares about high-quality execution. About the role Improvado is a marketing data platform for enterprise brands and agencies. You will own how our revenue runs and how it is measured. That covers Salesforce and the GTM tools, the path from signed contract to paid invoice, the revenue data model, and the reports leadership decides from. You work closely with the analytics team: you don’t have to build the data models yourself, but you must read them, spot what is wrong and say what to change. You work through AI agents daily, doing the work of a bigger team. What you will do Salesforce and GTM stack Own Salesforce configuration, release process and user access, plus the integrations around it (Gong, Clay, Lemlist, enrichment, e-signature, lead routing). Keep CRM data clean with guardrails that block mistakes. Manage licences and vendor renewals. Maintain the Salesforce manual and RevOps SOPs, and train new hires. Contract to cash Own ARR and bookings logic (new, upsell, downsell, churn, renewals) and keep agreement, opportunity, and invoice consistent. Run the closed-deals and billing check with Finance. Fix errors at the source and add a control so they don’t repeat. Audit invoices, track and chase unpaid ones, and prepare quarterly commission and quota reports. Revenue analytics and data model Own the quarterly sales analytics pack, the CRO report, the forecast and pipeline coverage (including CS renewal inputs). Track funnel conversion, explain why deals move, stall or slip, and keep attribution correct with Marketing. Query ClickHouse daily, trace any number to its source, and write specs for model changes. Give each metric one documented definition and add data quality checks. Build leadership dashboards, retire unused ones, and end every analysis with a recommendation, a number and an owner. AI and automation Use coding agents (Claude Code, Codex) for queries, scripts and Salesforce automation, and always verify their output. Automate manual work (invoice and payment checks, CRM hygiene, deal-risk alerts, call analysis) and measure hours saved and errors avoided. Ownership Be the single RevOps contact for Sales, CS, Marketing, Finance and Product. Turn each request into a task with an owner, date and success metric. Requirements 4-6+ years in RevOps, Sales Ops or GTM systems in B2B SaaS, with hands-on admin of a live Salesforce org. Strong SQL and comfort in a modeled warehouse (layers, lineage, one definition per metric). dbt is a plus. Deep knowledge of the B2B SaaS revenue cycle: funnel, pipeline, forecast, ARR, churn, renewals. Experience running the money side: contracts, invoicing, collections, kept in sync with the CRM. Proof you build with AI agents: something you shipped that others use. Fluent English and clear written updates without being asked. Nice to have Salesforce Administrator or Advanced Administrator certification. ClickHouse or another columnar warehouse, and any BI tool. Salesforce development (Apex, triggers, API). Gong, Clay, Lemlist, or workflow automation tools. Billing, CPQ, or accounting systems. HubSpot to Salesforce migration. Attribution or CS health score data. Martech or analytics company background. What We Offer Remote-first environment Strong product/market fit: marketing data product for US-based enterprises 20 working days of PTO per year US holidays and additional days off Professional development reimbursement

Location: Serbia About Improvado Improvado is an AI-powered marketing data platform built for mid-market and enterprise teams. We help companies automate complex marketing data workflows, unify data at scale, and surface insights through BI and AI. Brands like Genentech, T-Mobile, Activision, and H&R Block rely on us to simplify analytics and improve marketing performance. We’re a fast-growing Series A startup backed by $34M in funding and driven by a team that moves fast, stays curious, and cares about high-quality execution. About the role Improvado is a marketing data platform for enterprise brands and agencies. You will own how our revenue runs and how it is measured. That covers Salesforce and the GTM tools, the path from signed contract to paid invoice, the revenue data model, and the reports leadership decides from. You work closely with the analytics team: you don’t have to build the data models yourself, but you must read them, spot what is wrong and say what to change. You work through AI agents daily, doing the work of a bigger team. What you will do Salesforce and GTM stack Own Salesforce configuration, release process and user access, plus the integrations around it (Gong, Clay, Lemlist, enrichment, e-signature, lead routing). Keep CRM data clean with guardrails that block mistakes. Manage licences and vendor renewals. Maintain the Salesforce manual and RevOps SOPs, and train new hires. Contract to cash Own ARR and bookings logic (new, upsell, downsell, churn, renewals) and keep agreement, opportunity, and invoice consistent. Run the closed-deals and billing check with Finance. Fix errors at the source and add a control so they don’t repeat. Audit invoices, track and chase unpaid ones, and prepare quarterly commission and quota reports. Revenue analytics and data model Own the quarterly sales analytics pack, the CRO report, the forecast and pipeline coverage (including CS renewal inputs). Track funnel conversion, explain why deals move, stall or slip, and keep attribution correct with Marketing. Query ClickHouse daily, trace any number to its source, and write specs for model changes. Give each metric one documented definition and add data quality checks. Build leadership dashboards, retire unused ones, and end every analysis with a recommendation, a number and an owner. AI and automation Use coding agents (Claude Code, Codex) for queries, scripts and Salesforce automation, and always verify their output. Automate manual work (invoice and payment checks, CRM hygiene, deal-risk alerts, call analysis) and measure hours saved and errors avoided. Ownership Be the single RevOps contact for Sales, CS, Marketing, Finance and Product. Turn each request into a task with an owner, date and success metric. Requirements 4-6+ years in RevOps, Sales Ops or GTM systems in B2B SaaS, with hands-on admin of a live Salesforce org. Strong SQL and comfort in a modeled warehouse (layers, lineage, one definition per metric). dbt is a plus. Deep knowledge of the B2B SaaS revenue cycle: funnel, pipeline, forecast, ARR, churn, renewals. Experience running the money side: contracts, invoicing, collections, kept in sync with the CRM. Proof you build with AI agents: something you shipped that others use. Fluent English and clear written updates without being asked. Nice to have Salesforce Administrator or Advanced Administrator certification. ClickHouse or another columnar warehouse, and any BI tool. Salesforce development (Apex, triggers, API). Gong, Clay, Lemlist, or workflow automation tools. Billing, CPQ, or accounting systems. HubSpot to Salesforce migration. Attribution or CS health score data. Martech or analytics company background. What We Offer Remote-first environment Strong product/market fit: marketing data product for US-based enterprises 20 working days of PTO per year US holidays and additional days off Professional development reimbursement

Location: Brazil About Improvado Improvado is an AI-powered marketing data platform built for mid-market and enterprise teams. We help companies automate complex marketing data workflows, unify data at scale, and surface insights through BI and AI. Brands like Genentech, T-Mobile, Activision, and H&R Block rely on us to simplify analytics and improve marketing performance. We’re a fast-growing Series A startup backed by $34M in funding and driven by a team that moves fast, stays curious, and cares about high-quality execution. About the role Improvado is a marketing data platform for enterprise brands and agencies. You will own how our revenue runs and how it is measured. That covers Salesforce and the GTM tools, the path from signed contract to paid invoice, the revenue data model, and the reports leadership decides from. You work closely with the analytics team: you don’t have to build the data models yourself, but you must read them, spot what is wrong and say what to change. You work through AI agents daily, doing the work of a bigger team. What you will do Salesforce and GTM stack Own Salesforce configuration, release process and user access, plus the integrations around it (Gong, Clay, Lemlist, enrichment, e-signature, lead routing). Keep CRM data clean with guardrails that block mistakes. Manage licences and vendor renewals. Maintain the Salesforce manual and RevOps SOPs, and train new hires. Contract to cash Own ARR and bookings logic (new, upsell, downsell, churn, renewals) and keep agreement, opportunity, and invoice consistent. Run the closed-deals and billing check with Finance. Fix errors at the source and add a control so they don’t repeat. Audit invoices, track and chase unpaid ones, and prepare quarterly commission and quota reports. Revenue analytics and data model Own the quarterly sales analytics pack, the CRO report, the forecast and pipeline coverage (including CS renewal inputs). Track funnel conversion, explain why deals move, stall or slip, and keep attribution correct with Marketing. Query ClickHouse daily, trace any number to its source, and write specs for model changes. Give each metric one documented definition and add data quality checks. Build leadership dashboards, retire unused ones, and end every analysis with a recommendation, a number and an owner. AI and automation Use coding agents (Claude Code, Codex) for queries, scripts and Salesforce automation, and always verify their output. Automate manual work (invoice and payment checks, CRM hygiene, deal-risk alerts, call analysis) and measure hours saved and errors avoided. Ownership Be the single RevOps contact for Sales, CS, Marketing, Finance and Product. Turn each request into a task with an owner, date and success metric. Requirements 4-6+ years in RevOps, Sales Ops or GTM systems in B2B SaaS, with hands-on admin of a live Salesforce org. Strong SQL and comfort in a modeled warehouse (layers, lineage, one definition per metric). dbt is a plus. Deep knowledge of the B2B SaaS revenue cycle: funnel, pipeline, forecast, ARR, churn, renewals. Experience running the money side: contracts, invoicing, collections, kept in sync with the CRM. Proof you build with AI agents: something you shipped that others use. Fluent English and clear written updates without being asked. Nice to have Salesforce Administrator or Advanced Administrator certification. ClickHouse or another columnar warehouse, and any BI tool. Salesforce development (Apex, triggers, API). Gong, Clay, Lemlist, or workflow automation tools. Billing, CPQ, or accounting systems. HubSpot to Salesforce migration. Attribution or CS health score data. Martech or analytics company background. What We Offer Remote-first environment Strong product/market fit: marketing data product for US-based enterprises 20 working days of PTO per year US holidays and additional days off Professional development reimbursement

Location: Mexico About Improvado Improvado is an AI-powered marketing data platform built for mid-market and enterprise teams. We help companies automate complex marketing data workflows, unify data at scale, and surface insights through BI and AI. Brands like Genentech, T-Mobile, Activision, and H&R Block rely on us to simplify analytics and improve marketing performance. We’re a fast-growing Series A startup backed by $34M in funding and driven by a team that moves fast, stays curious, and cares about high-quality execution. About the role Improvado is a marketing data platform for enterprise brands and agencies. You will own how our revenue runs and how it is measured. That covers Salesforce and the GTM tools, the path from signed contract to paid invoice, the revenue data model, and the reports leadership decides from. You work closely with the analytics team: you don’t have to build the data models yourself, but you must read them, spot what is wrong and say what to change. You work through AI agents daily, doing the work of a bigger team. What you will do Salesforce and GTM stack Own Salesforce configuration, release process and user access, plus the integrations around it (Gong, Clay, Lemlist, enrichment, e-signature, lead routing). Keep CRM data clean with guardrails that block mistakes. Manage licences and vendor renewals. Maintain the Salesforce manual and RevOps SOPs, and train new hires. Contract to cash Own ARR and bookings logic (new, upsell, downsell, churn, renewals) and keep agreement, opportunity, and invoice consistent. Run the closed-deals and billing check with Finance. Fix errors at the source and add a control so they don’t repeat. Audit invoices, track and chase unpaid ones, and prepare quarterly commission and quota reports. Revenue analytics and data model Own the quarterly sales analytics pack, the CRO report, the forecast and pipeline coverage (including CS renewal inputs). Track funnel conversion, explain why deals move, stall or slip, and keep attribution correct with Marketing. Query ClickHouse daily, trace any number to its source, and write specs for model changes. Give each metric one documented definition and add data quality checks. Build leadership dashboards, retire unused ones, and end every analysis with a recommendation, a number and an owner. AI and automation Use coding agents (Claude Code, Codex) for queries, scripts and Salesforce automation, and always verify their output. Automate manual work (invoice and payment checks, CRM hygiene, deal-risk alerts, call analysis) and measure hours saved and errors avoided. Ownership Be the single RevOps contact for Sales, CS, Marketing, Finance and Product. Turn each request into a task with an owner, date and success metric. Requirements 4-6+ years in RevOps, Sales Ops or GTM systems in B2B SaaS, with hands-on admin of a live Salesforce org. Strong SQL and comfort in a modeled warehouse (layers, lineage, one definition per metric). dbt is a plus. Deep knowledge of the B2B SaaS revenue cycle: funnel, pipeline, forecast, ARR, churn, renewals. Experience running the money side: contracts, invoicing, collections, kept in sync with the CRM. Proof you build with AI agents: something you shipped that others use. Fluent English and clear written updates without being asked. Nice to have Salesforce Administrator or Advanced Administrator certification. ClickHouse or another columnar warehouse, and any BI tool. Salesforce development (Apex, triggers, API). Gong, Clay, Lemlist, or workflow automation tools. Billing, CPQ, or accounting systems. HubSpot to Salesforce migration. Attribution or CS health score data. Martech or analytics company background. What We Offer Remote-first environment Strong product/market fit: marketing data product for US-based enterprises 20 working days of PTO per year US holidays and additional days off Professional development reimbursement

Location: Ecuador About Improvado Improvado is an AI-powered marketing data platform built for mid-market and enterprise teams. We help companies automate complex marketing data workflows, unify data at scale, and surface insights through BI and AI. Brands like Genentech, T-Mobile, Activision, and H&R Block rely on us to simplify analytics and improve marketing performance. We’re a fast-growing Series A startup backed by $34M in funding and driven by a team that moves fast, stays curious, and cares about high-quality execution. About the role Improvado is a marketing data platform for enterprise brands and agencies. You will own how our revenue runs and how it is measured. That covers Salesforce and the GTM tools, the path from signed contract to paid invoice, the revenue data model, and the reports leadership decides from. You work closely with the analytics team: you don’t have to build the data models yourself, but you must read them, spot what is wrong and say what to change. You work through AI agents daily, doing the work of a bigger team. What you will do Salesforce and GTM stack Own Salesforce configuration, release process and user access, plus the integrations around it (Gong, Clay, Lemlist, enrichment, e-signature, lead routing). Keep CRM data clean with guardrails that block mistakes. Manage licences and vendor renewals. Maintain the Salesforce manual and RevOps SOPs, and train new hires. Contract to cash Own ARR and bookings logic (new, upsell, downsell, churn, renewals) and keep agreement, opportunity, and invoice consistent. Run the closed-deals and billing check with Finance. Fix errors at the source and add a control so they don’t repeat. Audit invoices, track and chase unpaid ones, and prepare quarterly commission and quota reports. Revenue analytics and data model Own the quarterly sales analytics pack, the CRO report, the forecast and pipeline coverage (including CS renewal inputs). Track funnel conversion, explain why deals move, stall or slip, and keep attribution correct with Marketing. Query ClickHouse daily, trace any number to its source, and write specs for model changes. Give each metric one documented definition and add data quality checks. Build leadership dashboards, retire unused ones, and end every analysis with a recommendation, a number and an owner. AI and automation Use coding agents (Claude Code, Codex) for queries, scripts and Salesforce automation, and always verify their output. Automate manual work (invoice and payment checks, CRM hygiene, deal-risk alerts, call analysis) and measure hours saved and errors avoided. Ownership Be the single RevOps contact for Sales, CS, Marketing, Finance and Product. Turn each request into a task with an owner, date and success metric. Requirements 4-6+ years in RevOps, Sales Ops or GTM systems in B2B SaaS, with hands-on admin of a live Salesforce org. Strong SQL and comfort in a modeled warehouse (layers, lineage, one definition per metric). dbt is a plus. Deep knowledge of the B2B SaaS revenue cycle: funnel, pipeline, forecast, ARR, churn, renewals. Experience running the money side: contracts, invoicing, collections, kept in sync with the CRM. Proof you build with AI agents: something you shipped that others use. Fluent English and clear written updates without being asked. Nice to have Salesforce Administrator or Advanced Administrator certification. ClickHouse or another columnar warehouse, and any BI tool. Salesforce development (Apex, triggers, API). Gong, Clay, Lemlist, or workflow automation tools. Billing, CPQ, or accounting systems. HubSpot to Salesforce migration. Attribution or CS health score data. Martech or analytics company background. What We Offer Remote-first environment Strong product/market fit: marketing data product for US-based enterprises 20 working days of PTO per year US holidays and additional days off Professional development reimbursement

Location: Uruguay About Improvado Improvado is an AI-powered marketing data platform built for mid-market and enterprise teams. We help companies automate complex marketing data workflows, unify data at scale, and surface insights through BI and AI. Brands like Genentech, T-Mobile, Activision, and H&R Block rely on us to simplify analytics and improve marketing performance. We’re a fast-growing Series A startup backed by $34M in funding and driven by a team that moves fast, stays curious, and cares about high-quality execution. About the role Improvado is a marketing data platform for enterprise brands and agencies. You will own how our revenue runs and how it is measured. That covers Salesforce and the GTM tools, the path from signed contract to paid invoice, the revenue data model, and the reports leadership decides from. You work closely with the analytics team: you don’t have to build the data models yourself, but you must read them, spot what is wrong and say what to change. You work through AI agents daily, doing the work of a bigger team. What you will do Salesforce and GTM stack Own Salesforce configuration, release process and user access, plus the integrations around it (Gong, Clay, Lemlist, enrichment, e-signature, lead routing). Keep CRM data clean with guardrails that block mistakes. Manage licences and vendor renewals. Maintain the Salesforce manual and RevOps SOPs, and train new hires. Contract to cash Own ARR and bookings logic (new, upsell, downsell, churn, renewals) and keep agreement, opportunity, and invoice consistent. Run the closed-deals and billing check with Finance. Fix errors at the source and add a control so they don’t repeat. Audit invoices, track and chase unpaid ones, and prepare quarterly commission and quota reports. Revenue analytics and data model Own the quarterly sales analytics pack, the CRO report, the forecast and pipeline coverage (including CS renewal inputs). Track funnel conversion, explain why deals move, stall or slip, and keep attribution correct with Marketing. Query ClickHouse daily, trace any number to its source, and write specs for model changes. Give each metric one documented definition and add data quality checks. Build leadership dashboards, retire unused ones, and end every analysis with a recommendation, a number and an owner. AI and automation Use coding agents (Claude Code, Codex) for queries, scripts and Salesforce automation, and always verify their output. Automate manual work (invoice and payment checks, CRM hygiene, deal-risk alerts, call analysis) and measure hours saved and errors avoided. Ownership Be the single RevOps contact for Sales, CS, Marketing, Finance and Product. Turn each request into a task with an owner, date and success metric. Requirements 4-6+ years in RevOps, Sales Ops or GTM systems in B2B SaaS, with hands-on admin of a live Salesforce org. Strong SQL and comfort in a modeled warehouse (layers, lineage, one definition per metric). dbt is a plus. Deep knowledge of the B2B SaaS revenue cycle: funnel, pipeline, forecast, ARR, churn, renewals. Experience running the money side: contracts, invoicing, collections, kept in sync with the CRM. Proof you build with AI agents: something you shipped that others use. Fluent English and clear written updates without being asked. Nice to have Salesforce Administrator or Advanced Administrator certification. ClickHouse or another columnar warehouse, and any BI tool. Salesforce development (Apex, triggers, API). Gong, Clay, Lemlist, or workflow automation tools. Billing, CPQ, or accounting systems. HubSpot to Salesforce migration. Attribution or CS health score data. Martech or analytics company background. What We Offer Remote-first environment Strong product/market fit: marketing data product for US-based enterprises 20 working days of PTO per year US holidays and additional days off Professional development reimbursement

Location: Chile About Improvado Improvado is an AI-powered marketing data platform built for mid-market and enterprise teams. We help companies automate complex marketing data workflows, unify data at scale, and surface insights through BI and AI. Brands like Genentech, T-Mobile, Activision, and H&R Block rely on us to simplify analytics and improve marketing performance. We’re a fast-growing Series A startup backed by $34M in funding and driven by a team that moves fast, stays curious, and cares about high-quality execution. About the role Improvado is a marketing data platform for enterprise brands and agencies. You will own how our revenue runs and how it is measured. That covers Salesforce and the GTM tools, the path from signed contract to paid invoice, the revenue data model, and the reports leadership decides from. You work closely with the analytics team: you don’t have to build the data models yourself, but you must read them, spot what is wrong and say what to change. You work through AI agents daily, doing the work of a bigger team. What you will do Salesforce and GTM stack Own Salesforce configuration, release process and user access, plus the integrations around it (Gong, Clay, Lemlist, enrichment, e-signature, lead routing). Keep CRM data clean with guardrails that block mistakes. Manage licences and vendor renewals. Maintain the Salesforce manual and RevOps SOPs, and train new hires. Contract to cash Own ARR and bookings logic (new, upsell, downsell, churn, renewals) and keep agreement, opportunity, and invoice consistent. Run the closed-deals and billing check with Finance. Fix errors at the source and add a control so they don’t repeat. Audit invoices, track and chase unpaid ones, and prepare quarterly commission and quota reports. Revenue analytics and data model Own the quarterly sales analytics pack, the CRO report, the forecast and pipeline coverage (including CS renewal inputs). Track funnel conversion, explain why deals move, stall or slip, and keep attribution correct with Marketing. Query ClickHouse daily, trace any number to its source, and write specs for model changes. Give each metric one documented definition and add data quality checks. Build leadership dashboards, retire unused ones, and end every analysis with a recommendation, a number and an owner. AI and automation Use coding agents (Claude Code, Codex) for queries, scripts and Salesforce automation, and always verify their output. Automate manual work (invoice and payment checks, CRM hygiene, deal-risk alerts, call analysis) and measure hours saved and errors avoided. Ownership Be the single RevOps contact for Sales, CS, Marketing, Finance and Product. Turn each request into a task with an owner, date and success metric. Requirements 4-6+ years in RevOps, Sales Ops or GTM systems in B2B SaaS, with hands-on admin of a live Salesforce org. Strong SQL and comfort in a modeled warehouse (layers, lineage, one definition per metric). dbt is a plus. Deep knowledge of the B2B SaaS revenue cycle: funnel, pipeline, forecast, ARR, churn, renewals. Experience running the money side: contracts, invoicing, collections, kept in sync with the CRM. Proof you build with AI agents: something you shipped that others use. Fluent English and clear written updates without being asked. Nice to have Salesforce Administrator or Advanced Administrator certification. ClickHouse or another columnar warehouse, and any BI tool. Salesforce development (Apex, triggers, API). Gong, Clay, Lemlist, or workflow automation tools. Billing, CPQ, or accounting systems. HubSpot to Salesforce migration. Attribution or CS health score data. Martech or analytics company background. What We Offer Remote-first environment Strong product/market fit: marketing data product for US-based enterprises 20 working days of PTO per year US holidays and additional days off Professional development reimbursement