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Location: Worldwide APPLICATION INSTRUCTIONS: If you’ve already completed the 20four7VA Recruiting Process—including the Final Interview—or have previously been contracted by a 20four7VA Client, please make sure to apply via the 20four7VA Team Portal for faster processing. Log in using your 20four7VA-issued email address to access the portal. If you’ve just logged in to the Team Portal, please proceed to review the Independent Contractor Opportunity outlined below. 💡 Quick Tip: Upload your resume first—this will automatically populate most of the fields in the application form. Let the magic happen! If you're interested in this opportunity, click APPLY TO POSITION to proceed. ******************************************************************** Title: CPT-11763 Assistant to the Executive Team Independent Contractor – CPT-11763 Assistant to the Executive Team/Business Support VA/Senior-Advanced Level (Remote). Overview 20four7VA is seeking offshore independent contractors to deliver remote services to clients worldwide, with a primary focus on developed markets such as the United States, the United Kingdom, Canada, and Australia. The Assistant to the Executive Team provides administrative and operational support to the executive team overseeing multiple entities. This role serves as a central point of contact for day-to-day administrative functions, helping the team stay organized, on schedule, and operationally efficient. The ideal candidate has previous experience supporting construction projects and is comfortable attending meetings, documenting discussions, managing follow-ups, organizing project documentation, and ensuring action items are completed on time. This individual will work closely with leadership to improve communication, maintain organization, and help keep projects moving efficiently. The successful candidate will have strong administrative and project coordination skills, excellent proficiency with Microsoft Office, SharePoint, and Dropbox. The objective of each engagement is to assist the client in improving business efficiency, enhancing service delivery, or supporting operational functions through high-quality, task-specific services rendered by a qualified contractor. Scope of Services Contractors will be required to provide services that align with the following client tasks: Administrative Support · Manage executive calendars, schedule meetings, and provide reminders · Maintain ongoing task lists and follow up on outstanding items as needed · Draft emails / follow ups for CEO · Prepare meeting agendas and summaries as requested · Draft, format, produce & distribute reports, presentations, and briefs utilizing software such as Excel, PowerPoint, Word, etc. · Research as requested by the executive team · Assist with general administrative tasks and day-to-day office support. · Maintain organized records and ensure important documents are properly filed and named per the company’s file naming protocol · Research and book domestic and international travel for business and personal travel as requested · Collect (using Loop) & place lunch orders for Wednesday lunches Project Coordination · Attend project meetings via Teams or Zoom and take detailed meeting minutes · Document key discussions, project updates, and action items utilizing · Track project deliverables and ensure follow-up tasks are completed · Coordinate communication between internal team members and stakeholders · Help monitor project timelines and remind team members of upcoming deadlines · Assist the Project Manager with administrative coordination throughout project lifecycles · Maintain organized project files and documentation using Dropbox & SharePoint · Assist the CEO or Project Managers in preparing proposals and presentations from PowerPoint templates and previously developed samples Follow-up & Communication · Follow up on outstanding action items after meetings · Communicate with team members regarding project updates and pending tasks · Schedule follow-up meetings as needed · Ensure accountability by tracking commitments and project progress Document Management · Organize and maintain project documentation in Dropbox & SharePoint ·  Ensure files are properly named, stored, and easily accessible ·  Maintain version control of project documents ·  Assist in organizing contracts, reports, and project-related records Team & Operations Support · Serve as administrative point of contact for internal team members · Assist with company meeting preparation, including agendas, reminders, sending, and updating invitations · Assist with scheduling meetings Insurance Compliance · Own the tracking and collection of vendor insurance certificates (COIs), ensuring renewals are received and filed before expiration · Upload COIs to Procore · Maintain an up-to-date COI compliance log for all vendors and partners, tracking expiration dates, renewal requests, and correspondence history to ensure continuous coverage and zero lapses in compliance · Manage the relationship with the outsourced insurance consultant and work with them for onboarding new subcontractors · On occasion, support the Controller with digital filing, logging, and organization of invoices Each engagement is based on a defined scope of work and is governed by an independent contractor agreement. Services must be performed professionally, adhering to any timelines, guidelines, and deliverables agreed to in writing. Skills The Contractor must demonstrate proficiency in the following, depending on the Client’s requirements: Previous experience supporting construction projects preferred Experience taking professional meeting minutes Experience coordinating project follow-ups and scheduling meetings Strong proficiency with Microsoft Office Suite Advanced knowledge of Microsoft Outlook Experience using Dropbox for document management Excellent computer and organizational skills Experience supporting executives or project managers preferred IDEAL CANDIDATE PROFILE · Previous administrative or project coordination experience · Ability to manage multiple priorities across team members · Real estate or construction industry experience strongly preferred · Excellent organizational and multitasking abilities · High level of attention to detail · Strong follow-through with outstanding attention to detail · Comfortable attending meetings and documenting detailed notes · Strong written and verbal communication skills · Proactive, dependable, and highly organized · Proficiency in Microsoft 365 (Outlook, Word, Excel, Teams, SharePoint, PowerPoint) APPLICATION SOFTWARE KNOWLEDGEABLE / REQUIRED · Microsoft Office Suite – including Outlook, Word, Excel & PowerPoint · SharePoint · Dropbox · Procore (preferred) Work Schedule Contracted Hours per Week: 40 Hours Scheduled Working Days: Monday through Friday (unless otherwise mutually agreed in writing) Daily Working Time: 8:00 am to 5:00 pm (Eastern) Note: The Company will make reasonable efforts to align the Assigned VA’s schedule with the Client’s preferred hours as set forth above. However, availability may vary based on time zones, capacity, and the contracted hours set in this SOW. Any changes must be mutually agreed to in writing through a revised SOW. Terms of Engagement Contractors will operate under a Master Services Agreement and a Statement of Work This is not an offer of employment; contractors are not employees of 20four7VA or any client All compensation is processed through 20four7VA according to the terms of the engagement Role Summary & Requirements REQUIRED SERVICE: Business Support REQUESTED EXPERIENCE TIER LEVEL: Senior, and Advanced Level Contracted Hours per Week: 40 hours/week Daily Working Time: 8:00 am to 5:00 pm (Eastern) Scheduled Working Days: Monday-Friday REPORTING TO/POC: To Be Determined Number of VAs: 1 GENDER PREFERENCE: None LANGUAGES SPOKEN/PREFERENCE: English ACCENT PREFERENCE: Near Native REGION PREFERENCES: Any What we offer Competitive rates Weekly payments Various open roles are available Free training and upskilling Constant support and guidance A vibrant community always ready to support you And more!

Location: Canada; Calgary; Vancouver; Toronto; Montreal Workplace: Remote Who are we? Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what’s best for our customers. Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products. Join us on our mission and shape the future! Why this role? We are on a mission to build machines that understand the world and make them safely accessible to all. Data quality is foundational to this process. Machines (or Large Language Models to be exact) learn in similar ways to humans: by way of feedback. By labeling, ranking, auditing, prompting, red teaming, and correcting output, you will improve Large Language Model’s performance for iterations to come, thus having a lasting impact on Cohere’s tech. Cohere is looking for Data Annotation Specialists with backgrounds and skills in Trust & Safety, Content Moderation, AI model evaluation, or related fields. This role is best suited for candidates who bring strong contextual judgment, cultural and bias sensitivity, and experience applying nuanced guidelines to complex or ambiguous content. Successful candidates will be highly detail-oriented, comfortable evaluating safety risks across different user intents and scenarios, and able to make consistent, well-reasoned decisions with a high degree of independence after onboarding. IMPORTANT CONTEXT ON THIS ROLE: In this position, you will be asked to engage with human-generated and model-generated tasks which will sometimes mean intentional exposure to explicit content. Your annotations on these explicit tasks will be used to prevent the Large Language Model from generating unintentional, adversarial, toxic, or unsafe outputs. The types of explicit content you may be exposed to may include but are not limited to those of a sexual, violent, or psychologically disturbing nature. Please Note: This is a part-time, remote, independent contractor position available within Canada or the United States. We seek candidates who are able to commit to 16 hours per week minimum at a 45 CAD/hour or 40 USD/hour contract rate, depending on your location, consisting of 30/hour base pay plus 15 CAD or 10 USD/hour hazard pay. This role is BYOD 💻 - Bring Your Own Device (laptop). 12 months contract with potential for extension. As a Data Annotation Specialist on safety task, you will: - Evaluate and improve model safety: Label, rank, audit, and refine human- and model-generated text to improve safety, quality, and policy alignment, including content that may be sexual, violent, or psychologically disturbing. - Apply nuanced safety judgment: Assess model outputs against detailed safety guidelines, rubrics, and style standards, making consistent decisions across ambiguous, sensitive, and context-dependent cases. - Create prompts and safety test cases: Write realistic prompts, user scenarios, and adversarial examples that help evaluate model behavior across safety categories and uncover unsafe, evasive, over-refusing, or policy-inconsistent responses. - Support quality and calibration: Identify annotation inconsistencies or unclear guidelines, and provide actionable feedback on recurring edge cases, model failures, and opportunities to improve data quality. - Work with precision and independence: Complete annotation tasks with strong attention to detail, while being comfortable working independently in a globally distributed, asynchronous team environment. You may be a good fit if you have: - 1+ years of experience in Content Moderation,Trust and Safety, AI data annotation, LLM evaluation, or a related analytical role, with exposure to quality assurance, red teaming, and/or prompt engineering preferred. - Experience applying detailed guidelines to complex and sensitive content, with strong contextual and sociocultural judgment and the ability to recognize and manage personal bias. - Emotional resilience: Comfort working with content that contains unsafe, explicit, and/or toxic content, including content of a sexual, violent, or psychologically disturbing nature. - Excellent command of written English and the ability to clearly justify content evaluations, including why an output is safe, unsafe, high-quality or low-quality. Bonus points if you are fluent in another language! - Strong attention to detail and commitment to accuracy, with the ability to maintain consistency across high-volume and monotonous tasks. - Strong execution in a remote environment, including good time management, comfort using new tools, and the ability to work independently in a global, asynchronous team. The Candidate Journey: Initial Screening - Once you have submitted your application our Talent Team will review your resume and writing samples. Virtual Annotation Test - This assignment will test your written skill through various language-based tasks, such as a a writing sample, interacting with a chat bot, and more. Video Screen - If selected to move forward, you will have a short video call with a member of our Operations Team! Offer - Independent Contractor Agreement As an independent contractor, you maintain control over how you complete your work and may work with multiple clients simultaneously, although we ask you to declare if any of these are with a direct competitor of Cohere and maintain IP confidentiality of the Cohere project. Independent contractors are not eligible for health benefits or other benefits provided to employees. Compensation for services is provided to contractors by contractors invoicing for services provided pursuant to the terms of our agreement with the contractor. It is important to understand that as an independent contractor, continuous work is not guaranteed. The client-contractor relationship is fundamentally project-based, meaning engagements may be temporary, periodic, or intermittent based on our organizational needs and project availability. As an independent contractor, you should anticipate fluctuations in workflow and therefore compensation for services when Cohere does not require as many hours of services in a week. Prospective candidates, please be advised: this role involves working with human generated and model generated tasks that may involve exposure to not safe for work (NSFW) text content as part of data annotation tasks, including explicit, offensive, or other inappropriate material. If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs.

Location: Remote: United States Workplace: Remote At Render, we’re building the modern cloud platform for developers creating AI-native, full-stack, multi-service applications. Our mission is to eliminate the tradeoff between the power of hyperscalers and the simplicity of developer-friendly platforms—so teams can ship fast, scale reliably, and focus on their product, not infrastructure. Unlike complex hyperscalers or ephemeral edge/serverless solutions, Render offers a developer-first experience with persistent compute, dynamic autoscaling, built-in orchestration, and observability, allowing teams to launch, scale, and manage real-world applications without writing infrastructure code or managing servers. Whether you're building LLM-powered applications, scalable SaaS products, or async processing pipelines, Render empowers teams to move fast and scale confidently from MVP to millions of users. Our platform is trusted by over 7 million developers worldwide and continues to grow rapidly. In February 2026, we raised an additional $100M in Series C financing, bringing our total funding to $260M, to accelerate our vision of making cloud infrastructure both powerful and intuitive—designed for the speed of modern AI development. We’re a diverse and talented team that values craft, velocity, and user experience. If you’re excited to help shape the future of the intelligent cloud and empower developers everywhere, we’d love to hear from you. APPLYING TO RENDER We're seeking candidates who possess high integrity, humility, and an insatiable drive to learn. Through reasoned discussions and continuous feedback, we strive to improve both individually and collectively. We foster an environment of mutual trust and respect, empowering effective debate to achieve the best outcomes for our customers and team. We especially encourage members of underrepresented groups in the tech community to apply and understand that not all successful candidates will meet each requirement listed. Our interview process is unique to each role, and we value the candidate experience just as much as our customer experience. We hope your conversations with us reflect a thoughtful process that is illuminative, enjoyable, and respectful of your time. ABOUT THE ROLE Developers increasingly pick their tools through AI assistants and coding agents. When someone asks ChatGPT, Claude, or a coding agent where to deploy their app, we want Render to be the answer. That depends on content that exists, is accurate, and stays current. As Render’s Senior Content Engineer, you’ll own the strategy and the system behind that content. You’ll find the gaps in our content catalog based on how Render shows up in LLM and answer-engine results, decide which gaps matter most, and build and run the content factory that fills them. The role sits close to DX Engineering and is fully focused on content. You’ll work directly with the Head of Developer Experience, the DX team, Render’s docs owners, and external content partners. The primary audience for this content is coding agents and LLMs. You’ll ship focused, technically grounded pieces that help them answer developer questions and cite Render: use-case articles, stack-specific guides, comparisons, and docs. The field is still taking shape, so you’ll test what works and help write the playbook. This is a remote role within the US, with the option to work out of our headquarters in San Francisco. WHAT YOU'LL DO - Own Render’s content gap analysis. Use AEO benchmarks, citation tracking, and AI agent traffic data to find where Render is missing, wrong, or out-cited in LLM answers, and turn noisy signals into clear priorities. - Turn that analysis into a prioritized backlog across articles, guides, and docs, with clear reasoning for what ships first. - Build and improve Render’s content factory: the AI-assisted pipelines, built on Render Workflows, that research, draft, fact-check, and assist us in publishing technical content. Test changes with evals and keep the system reliable as output grows. - Own the review loop. Make expert review faster and cheaper, track factual accuracy, and keep the quality bar high at higher volume. - Run the refresh cycle for existing content so pages stay accurate as the product changes. - Manage day-to-day work with external content partners: briefs, feedback, quality, and output. - Partner with docs owners to expand docs coverage where it drives citations. - Define and report the metrics that show whether content moves Render’s visibility and signups. Volume published is one input among several. WHAT SUCCESS LOOKS LIKE - The content factory is reliable, well maintained, and keeps up as our content needs grow. - Render shows up more often in agent and LLM answers for the topics the content plan targets. - Content stays technically accurate, and expert review takes less time per piece as output grows. - The content plan responds to gaps in our catalog and to what we learn about Render’s visibility in agent and LLM answers. - We have a plan and a workflow to keep the catalog up to date as the product changes. WHAT WE'RE LOOKING FOR - 5+ years in technical content, developer education, content engineering, or software engineering with a strong content focus, ideally at a developer tools or infrastructure company. - A working understanding of AEO or generative engine optimization (GEO) and how answer engines choose sources. The field is new, so we care about what you’ve built and measured, and how fast you learn. - Strong working knowledge of AI agents. You use coding agents like Claude Code, Codex, or Cursor every day, and you know agent workloads (long-running tasks, tool calls, sandboxed code execution) well enough to judge whether content about them is correct. - A builder’s approach to AI. You’ve built content systems in code (scripts, pipelines, LLM and agent workflows) and use evals to understand what a change affects. Comfortable with Python or TypeScript, Git, and APIs. - Strong technical judgment. You can read a docs page or code sample and tell whether it’s correct. - Sharp editorial taste. You catch weak structure, generic AI-generated prose, and factual errors fast. - Comfort owning a system end to end and holding external partners to a quality bar. NICE-TO-HAVES - Experience running SEO or programmatic content at scale, especially for developer audiences. - Experience with LLM benchmarking or answer-engine measurement. - Experience building agents or MCP servers. - Familiarity with cloud hosting, deployment, or infrastructure products. - You’ve used Render before, professionally or on side projects. PROJECTS YOU MIGHT WORK ON - Sizing the long tail of developer questions where Render should be cited and isn’t, then building the plan to cover it. - Adding an automated fact-check stage to the content pipeline that verifies claims against live Render docs. - Building a refresh system that flags stale content when the product changes. - Running a recurring survey of LLM answers to measure where Render appears and who gets cited instead. If this role excites you but you don’t meet every single requirement, we’d still love to hear from you—your unique experience might be just what we need. BENEFITS - 4 weeks of paid vacation. - 14 weeks of fully paid parental leave for all parents to bond with a newly born, adopted, or fostered child. We will also work with you to create a supportive plan of return. - Long-term disability, life insurance, and 401K plans. - 100% employer-paid medical coverage and 99% employer-paid dental and vision coverage for you and a dependent. FSAs and HSAs are available as well. - Monthly lifestyle stipend for wellness, mental health and therapy, hobbies, etc. - Monthly cell phone and internet subsidy. - Commuter benefits for Renders in the Bay Area, and home office stipends for remote Renders. - Continuous learning benefits & related support. This position is generally not eligible for new visa sponsorship. At Render's discretion, the business may sponsor existing visa transfers. Applicants who require sponsorship must receive business authorization. Render is an equal-opportunity employer. We know that employing a team rich in diverse thoughts, experiences, and opinions allows our employees, product, and community to flourish. We make all employment decisions including hiring, evaluation, termination, promotional, and training opportunities, without regard to race, religion, color, sex, age, national origin, ancestry, sexual orientation, physical handicap, mental disability, medical condition, disability, gender or identity or expression, pregnancy or pregnancy-related condition, marital status, height and/or weight. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. We encourage all who are interested to apply. We can't wait to hear from you! Render — CCPA Applicant Privacy Notice https://drive.google.com/file/d/1wKr9IejoT5McFrs9I2mahQnf6AFwb3z2/view Render — GDPR Applicant Privacy Notice https://drive.google.com/file/d/1_8jtyXQ1HdRdTdQn9sZ7n-R-zAGBmsFa/view

Location: Boston Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started.   FUNCTION OVERVIEW Harvey's Legal Engineering team is composed of former practicing attorneys who work to bring value to Harvey's prospects and customers. Legal Engineers lead discovery, demos, trainings, and onboarding alongside our AEs and CSMs. They translate real legal work into Harvey solutions, serving as the trust layer across the entire customer lifecycle, from the first pilot to the most complex, custom-built workflow.   At Harvey, we segment the Legal Engineering function into three teams: Legal Engineers (Pre-Sales), Legal Engineers, Product Specialists (Post-Sales), and Legal Engineers, Custom Solutions (Pre- and Post-Sales). Legal Engineers across all three subgroups understand how lawyers think and work, and use that expertise to design, build, and refine solutions that hold up under live in-practice pressure. In doing so, they don't just drive adoption; they shape Harvey's product roadmap, ensuring every release is grounded in what the legal profession needs. It's a team built to power Harvey as the platform lawyers can trust with their most important work.   You may be asked to travel around 2-3+ times per month. Travel is always for a significant business need and typically is for 1-3 days at a time.   WHAT YOU'LL DO Legal Engineer (Pre-Sales) Legal Engineers are lawyers who left practice to help build the future of legal work. Working closely with Account Executives, they engage with many of the world’s leading law firms and legal teams throughout the pre-sales process. They lead collaborative pilot programs, guide prospects through what’s possible with AI, and work alongside lawyers to understand their workflows, build tailored solutions, and demonstrate meaningful value in real legal use cases. Along the way, they bring prospect feedback back into the product, helping shape the future of Harvey.   Legal Engineer, Product Specialist (Post-Sales) LEPS take over once a prospect becomes a customer. LEPS build trusted relationships with many of the world's leading legal teams by learning their workflows and showing them how to weave Harvey into daily practice. The LEPS role spans the entire customer journey, from leading onboarding and enablement, to sitting down with a full practice group to build agents on real matters. Along the way, the LEPS translates legal practice needs into actionable feedback for product and engineering, contributes to customer-facing content across practice areas, and upholds Harvey's credibility as the leading AI platform for lawyers.   Legal Engineer, Custom Solutions (Pre-Sale and Post-Sale) LECS are a specialist group that work on complex no-code custom Harvey in-app solutions. LECS meet with group heads, general counsel, and other senior stakeholders to learn how key processes run today. Drawing on their legal expertise, they use natural language prompting to design bespoke resources, including agents, playbooks, and other tools, that improve the quality, speed, and experience of that process. The build is collaborative. The LECS scope it with the customer, prototype against sample documents, and refine it alongside their team. Most LECS work happens post-sale, but the team also supports strategic accounts pre-sale on an advisory basis. LECS concentrates narrowly on designing tools that automate a specific process, and on building relationships with the senior leaders who own it.   *In your initial interview with our recruiting team, you'll learn more about all three roles, and we'll identify which may be the best fit based on your background and our current hiring needs.   WHAT YOU HAVE - JD or equivalent legal qualification. - 3 + years of practicing law in-house, at a top-tier law firm, or advising a sophisticated corporate legal team. - Strong understanding of the workflows, challenges, and demands of law firms, including balancing legal risk with business priorities. - Executive presence and relationship-building skills, with the ability to establish credibility with legal and business stakeholders at all levels. - Outstanding communication and presentation skills — comfortable leading a live demo, facilitating a workshop, or engaging in strategic customer conversations. - Deep curiosity about AI's potential to transform legal work, paired with a practical, solutions-oriented mindset and bias toward action. - Track record partnering with senior stakeholders to drive results, with curiosity for testing approaches and optimizing for customer outcomes. - Cross-functional experience (business, ops, compliance, product), sales/customer-facing experience (law firm BD, secondment), and/or hands-on experience using AI tools in legal practice are all pluses.   COMPENSATION $220,000 - $320,000 USD OTE 75/25 split   DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES [HERE https://www.notion.so/harveyai/Harvey-Candidate-Privacy-Policies-319ac3fcdd7a803bb807d5094f249922]. #LI-LS1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: Spain Workplace: remote About Welocalize  Welocalize, a Welo Global brand, serves localization teams through AI-enabled multilingual content solutions that enable enterprises to operate and scale globally. Welocalize combines AI, automation, and human expertise to support enterprises in more than 300 languages, enabling accurate, culturally aligned, and compliant multilingual content at scale.   Welocalize’s Opal Platform comprises patented technology designed to automate multilingual content and improve workflow performance for enterprises. Opal functions as an agentic system that orchestrates AI, automation, and human expertise to coordinate content workflows across the lifecycle, improving speed, scalability, and operational control for global enterprises. These solutions operate within a secure and compliant environment supported by seven ISO certifications. Welocalize is headquartered in New York with offices worldwide. welocalize.com MAIN DUTIES The following is a non-exhaustive list of responsibilities and areas of ownership of the Multimedia Content Reviewer : Localize, translate and adapt content of various categories (such as music, film, gaming and sports content) while adhering to writing style guide and guidelines Write new copy for a range of multimedia products and services Perform annotation tasks Perform regular linguistic review of their own work as well as the work performed by other members of the localization team for all content types Copy-edit and fact check content to ensure accuracy of content Perform LQA (Localization QA) testing of any content published on live platforms (music and app descriptions, marketing material and marketing campaigns) Conduct market-specific research on local content, product and terminology trends and best localization practices for the target audience in their market Transcribe spoken content such as lyrics Report on data and/or assets across a broad scope of media and content types Review linguistic assessments, create training material and documents for new projects and ensure that other counterparts of the localization team are fully trained on terminology, style and best practices Collaborate with the global language team via virtual meetings, emails on content review tasks to ensure calibrating terminology and style, understanding trends and market specific insights, translations based on the market team's needs REQUIREMENTS BS/BA and 2+ years of work experience in the field of journalism, copywriting, or copyediting media content such as music, TV and applications with proof of writing samples Native-level or fully bilingual Hebrew , written and spoken Experience in translation and localization of multimedia content Creative writer Ability to quickly detect issues and inconsistencies from a massive sea of content and make sound judgement calls based on information at hand Is in tune and has a wide range of knowledge regarding music artists, TV and cinema, gaming and pop culture Has the ability to own the language market and make confident linguistic decisions Must be highly detail-oriented with the ability to multitask, prioritize and meet deadlines Fluency in written and verbal English Strong computer literacy; knowledge of iOS/macOS systems is a plus Well capable of typing in their native level language using a local (English) keyboard Ability to work independently and remotely Collaborative; enjoys teamwork in a multicultural environment

Location: New York, NY (HQ); San Francisco, CA Workplace: Hybrid ABOUT RAMP Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. ABOUT RAMP LABS Ramp Labs is Ramp's AI research group. We post-train models on finance work, build the environments and evals they learn from, and ship them into the products 70,000+ companies use to move money. We think the defensible part of an AI product is the loop: proprietary environments, evals that track what customers care about, and models trained against both. ABOUT THE ROLE Every model decision at Ramp Labs runs through a benchmark. Which model to route to. Whether a post-training run worked. Whether an agent is ready to post a corrective journal entry to a customer's ledger without a human in the loop. You'll own Ramp's benchmarking effort. You'll turn real finance work (expense policy review, invoice coding, month-end close, spreadsheet Q&A) into benchmarks and RL environments, build the graders, and tell the team what is actually improving. WHAT YOU’LL DO - Build benchmarks from real workflows: turn agent traces, customer edge cases and expert labels into versioned benchmark suites for long-horizon agents that run for hours across tools and systems, plus tool use, multi-step reasoning and financial judgment - Own the benchmarking effort: decide what we measure, run benchmark suites across models and agent versions, and report results the team makes decisions on - Design graders: rubrics, programmatic checks and llm-as-judge, calibrated against human agreement, with a clear view of where each one breaks - Close the loop with post-training: turn evals into reward functions and RL environments, and catch reward hacking and contamination before they ship - Publish external benchmarks and write-ups on how models perform at real finance work WHAT YOU NEED - Hands-on experience building LLM benchmarks or evals that people used to make real decisions - Strong Python and software engineering; your eval code is reproducible and fast - Statistical judgment: variance, confidence intervals, sample size, inter-rater agreement, and knowing when a delta is noise - Working knowledge of post-training (SFT, RL with verifiable rewards) and how evals feed into it - Comfort with SQL and large datasets; you'll work directly from production traces - Taste for what is worth measuring NICE-TO-HAVE - Industry experience on an eval, benchmarking or post-training team - Built RL environments or verifiers for agentic tasks - Published benchmark or evaluation research (NeurIPS Datasets & Benchmarks, ICML, ACL) - Built or contributed to eval frameworks (verifiers, lm-evaluation-harness, HELM or similar) - Familiarity with accounting, finance or other expert-domain work - Public work we can look at: a benchmark, an eval suite, a failure-analysis write-up BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL) - Flexible PTO - Centralized home-office equipment ordering - Health and wellness stipend - Budget for intra-office travel - Weekly coffee stipend UNITED STATES - 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents - One Medical annual membership - 401(k), including employer match on contributions made while employed by Ramp - Fertility HRA (up to $10,000 per year) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay - Pet insurance - In-office perks: lunch, snacks, drinks, and more - Relocation expense coverage to NYC or SF (if needed) CANADA - Group medical, dental, and vision coverage through Sun Life - Life, AD&D, and disability coverage - Fertility drug coverage (up to $4,000 lifetime) - Group Retirement Plan with employer match (RRSP + DPSP) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay - Employee Assistance Program and virtual care through Lumino Health UNITED KINGDOM - Private medical insurance through Freedom Elite - Virtual GP and at-home care via eMed x Livi - Workplace pension through Penfold, with salary sacrifice option - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay REFERRAL INSTRUCTIONS If you are being referred for the role, please contact that person to apply on your behalf.   OTHER NOTICES Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.   Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.   Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice

Location: São Paulo, Brazil; Buenos Aires, Argentina; Bogotá, Colombia; Lima, Peru New opportunities in Latin America! 🟢 Dev.Pro is a US-based software development company helping tech companies build their products and grow their business. We’re remote-first, and we work with independent contractors in over 55 countries, so you’d be collaborating in a multicultural environment on some really interesting projects. We invite a skilled AI Engineer to join our team in building GPU-accelerated video analytics for real-time safety monitoring across large fleets and industrial environments. In this role, you’ll help design and optimize pipelines that detect and track actionable safety events in high-volume video streams. You’ll work on real-world systems that make an impact, collaborating with engineering and product teams to deliver reliable, high-performance solutions. 🟩 What's in it for you: Collaborate with top engineers on an innovative, technically challenging computer vision project Build impactful systems that enhance safety across large fleets and industrial operations Gain hands-on experience with GPU-accelerated video analytics, temporal tracking, and real-time safety monitoring ✅ Is that you? 7+ years of software engineering experience with strong backend skills 3+ years of experience shipping computer vision solutions to production Strong Python proficiency Experience with OpenCV, PyTorch, async I/O frameworks, and API integrations Hands-on experience with YOLO/Ultralytics or similar object detection frameworks Experience detecting, labeling, and tracking objects in video Solid knowledge of frame sampling, confidence thresholds, temporal filtering, and multi-camera aggregation Experience with GPU inference optimization (batching, stride, TensorRT, CUDA, quantization, throughput tuning) Ability to communicate and collaborate effectively with engineering and product teams Upper-Intermediate+ English level Desirable: Experience with Azure Event Hub, Blob Storage, Application Insights, or similar Familiarity with Docker, cloud deployments, and production monitoring systems Experience in temporal/sequence analysis for event detection Experience with video analytics in safety, compliance, or industrial/transportation environments 🧩 Key responsibilities and your contribution In this role, you’ll develop and maintain robust backend solutions that process video data and deliver actionable insights using pre-trained computer vision models. Develop and optimize GPU-accelerated video inference pipelines for real-time processing Implement, evaluate, and improve object detection models (YOLO or similar) Build temporal smoothing and tracking logic for safety event detection Optimize model performance using TensorRT, ONNX, CUDA, and GPU profiling tools Build and maintain integrations with event-driven APIs, Azure Event Hub, Blob Storage, and internal services Add metrics, logging, telemetry, and fail-safe mechanisms for resilient inference jobs Contribute to dataset curation, labeling, and model evaluation; fine-tuning/training as needed Support containerized deployments (Docker) and assist with monitoring and scaling production workload Our next steps: ✅ Submit a CV in English — ✅ Intro call with a Recruiter — ✅ Interview — ✅ Signing the Contract Interested? Find out more: 📋 How to Join Us 💻 LinkedIn Page 📈 Our website 💻 IG Page By submitting application, I've read and agree to the Dev.Pro Private Policy and Consent on Processing of Personal Data . I agree to have my Personal Data being stored and processed by Dev.Pro.

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. How would you like to influence the most successful gaming platform of all time by validating the very technology our developers use to build extraordinary games? Role Summary: Sony Interactive Entertainment (PlayStation) is seeking a Software Development Engineer in Test (SDET) to provide hands-on engineering excellence across our SDK ecosystem. This role focuses on building tools and infrastructure for analyzing the quality of the PlayStation SDK and related technology. While this is the primary domain, there are opportunities to expand into 3D graphics, spatial audio, artificial intelligence, and the fully integrated PlayStation game development environment. We are looking for someone who wants to directly impact PlayStation technology by developing tools and automated systems that deeply analyze SDK components and platform capabilities. You will help strengthen and evolve our testing infrastructure, raise the technical bar for quality engineering, and drive confidence in every release. If you’re passionate about solving complex system-level challenges and influencing technology used by people around the world, we want to hear from you, come help us power the future of PlayStation! What You'll Be Doing: - Crafting and improving automated test cases, sample applications, testing tools and frameworks for SDK libraries and low level software (C++) - Build and improve test infrastructure using Python and Groovy to simplify building, testing, and demonstrating PlayStation® sample applications. - Monitor test infrastructure, analyze automation failures, improve reliability, and optimize runtime performance. - Partner closely with software production and offshore teams to compose robust test plans, validation strategies, and documentation. - Define scalable, maintainable automation and infrastructure patterns that support long-term platform growth. - Contribute to architectural discussions for test systems spanning C++, embedded firmware (C), and Python-based infrastructure. - Identify technical risks early and drive mitigation strategies to protect release confidence. What We're Looking For: - Excellent interpersonal skills, including presenting technical direction to both engineers and executives. - Strong programming proficiency in Python & C++, as well as PyTest and GTest frameworks. - Self-directed, committed to producing strong results, and passionate about high-quality automation. - Experience building, running, and debugging software in both Windows & Linux environments. - Deep understanding of automation trade-offs and architectural design decisions. Nice-to-Have: - Exposure to Android platform, including SDK, tooling and architecture - Prior experience with PlayStation SDK development is helpful. - Familiarity with Unity, Unreal Engine or other game engine technology. - Containerization technology such as Docker and Kubernetes. - Proven experience leading complex debugging efforts. 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. 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. 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 (where applicable) 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: San Francisco Bay Area, California, United States; United States About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. Director of Product, Ecosystem Nebius builds the infrastructure serious AI teams run on — GPU clusters, inference runtimes, development environments, and data pipelines purpose-built for demanding AI workloads. We’re looking for a hands-on product leader to help shape our platform for the next generation of AI applications. Your focus will be agentic infrastructure : the capabilities developers and enterprises need to build, run, and scale systems that reason, use tools, and take action. As Director of Product, Ecosystem , you will identify emerging customer needs, explore new product opportunities, and turn promising ideas into capabilities developers choose to build on. You will combine product judgment, technical experimentation, and close relationships across the AI ecosystem to shape what Nebius builds and how it works with other platforms and tools. Your responsibilities Define product direction Own the product vision, priorities, and roadmap for emerging opportunities in agentic infrastructure. Work directly with developers and enterprise teams to understand their workflows, technical constraints, and unmet needs. Translate customer insights and ecosystem developments into clear product decisions and scoped releases. Partner with engineering and design throughout discovery, development, launch, and iteration. Define success through developer adoption, production usage, customer outcomes, and business impact. Explore and build hands-on Build prototypes, sample applications, and integrations to test ideas and make product decisions concrete. Use Nebius and relevant ecosystem tools firsthand to understand the developer experience and identify gaps. Work through technical tradeoffs with engineering, including performance, reliability, security, and cost. Validate new concepts with customers and turn successful experiments into production offerings. Help create reference architectures and examples that make it easier for developers to get started. Connect the ecosystem to the platform Build close relationships with founders, technical leaders, and developers shaping how AI applications are built. Evaluate emerging tools and technologies through direct experimentation and customer feedback. Identify where Nebius should build, integrate, or partner to deliver a stronger product experience. Lead the product side of selected partnerships, from initial concept through integration, launch, and adoption. Bring external insights into platform planning and help leadership prioritize investments. Drive adoption and iteration Work with developer relations, marketing, sales, and field teams to bring new capabilities to market. Stay close to early users, resolve adoption barriers, and feed production learnings into the roadmap. Develop a repeatable path from customer discovery and experimentation to products with sustained usage. Product scope This role spans the infrastructure and developer experience that support agentic applications. Opportunities may include how applications access models and tools, manage context and state, execute workloads, connect to data, and operate reliably in production. Your scope will evolve with customer needs and the platform’s direction. We value the ability to find the right problems, develop a clear product thesis, and deliver useful capabilities across this landscape. We expect you to have 8+ years of relevant experience building technical products, with meaningful ownership of AI infrastructure, cloud platforms, or developer tools. A track record of taking products from an ambiguous customer problem to production adoption, with measurable outcomes. Strong technical fluency and the ability to work through architecture and implementation decisions with engineers. A hands-on approach: You can use APIs and SDKs, explore unfamiliar tools, and build working prototypes to test your thinking. Experience designing developer experiences across APIs, integrations, documentation, and operational workflows. Familiarity with how AI applications are built and an informed perspective on the infrastructure needs of increasingly agentic systems. Strong customer discovery skills and sound judgment about which needs can support a repeatable product. Clear written and verbal communication, including product proposals, technical tradeoffs, and investment recommendations. Comfort setting direction, making decisions, and delivering in a fast-moving environment. It will be an added bonus if you have Founded a company or served as an early product or engineering leader at an AI or infrastructure startup. Built products used by developers to create or operate AI applications. Experience with distributed systems, cloud infrastructure, or production AI workloads. Contributed to open-source projects or worked closely with developer communities. Built technical partnerships that led to successful integrations or new product capabilities. Key Employee Benefits: Health Insurance: 100% company-paid medical, dental, and vision coverage for employees and families. 401(k) Plan: Up to 4% company match with immediate vesting. Parental Leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers. Remote Work Reimbursement: Up to $85/month for mobile and internet. Disability & Life Insurance: Company-paid short-term, long-term, and life insurance coverage. Pay Transparency We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law. Base Compensation Range $228,000 — $285,000 USD Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: San Francisco Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW In this role, you'll build the data and measurement systems that power our post-training, benchmarking, and agent capability efforts. We recently post-trained our first model built for legal work, and we’re now building the team to scale up our post-training efforts. You’ll own synthetic data pipelines, evaluation design, the tasks and grading behind training environments, and the systems that turn feedback from domain experts into training signals and rewards. These are tasks where correctness often can’t be verified automatically, so defining and measuring quality is a core research challenge. You’ll join a small, high-bar team of hands-on engineers and researchers, where each person owns a large part of the work. We’re looking for research engineers who can build reliable data and evaluation systems, question what a metric actually tells us, and work closely with researchers and legal experts to turn model failures into measurable improvements. Learn more about our work at harvey.ai/research http://harvey.ai/research. WHAT YOU'LL DO - Build synthetic data pipelines that generate, filter, and curate training and evaluation samples for complex legal reasoning and agentic workflows. - Design evaluations and verifiers that reflect real legal work, calibrate them against expert judgment, and investigate where they fail. - Build and maintain capability benchmarks like our Legal Agent Benchmark (LAB), along with product-focused evals that track how models perform on real customer workflows. - Work with legal domain experts to define quality metrics, rubrics, and other grading mechanisms for training and evaluation. - Own training and evaluation data quality, including provenance, coverage, and safeguards against contamination. - Close the loop from product usage and customer feedback to new evaluations and training data, so models improve where customers need them most. - Partner with researchers to investigate model failures, distinguish real gains from misleading metrics, and use findings to guide training and release decisions. WHAT YOU HAVE - Experience building data pipelines, ML evaluation systems, or experimentation tooling, with strong Python skills and ownership of production-quality code. - A rigorous approach to measurement, including statistical reasoning, experimental design, and understanding when a metric can mislead. - The ability to translate ambiguous goals or expert judgment into structured datasets, rubrics, and measurable criteria. - Experience with synthetic data, LLM evaluations, automated raters, or preference data is a plus. Strong data and measurement engineering experience close to ML model development is valuable even without prior LLM work. We are hiring for this role across multiple levels. COMPENSATION $230,000 - $450,000 USD DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74. #LI-DZ1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: London Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW In this role, you'll build the data and measurement systems that power our post-training, benchmarking, and agent capability efforts. We recently post-trained our first model built for legal work, and we’re now building the team to scale up our post-training efforts. You’ll own synthetic data pipelines, evaluation design, the tasks and grading behind training environments, and the systems that turn feedback from domain experts into training signals and rewards. These are tasks where correctness often can’t be verified automatically, so defining and measuring quality is a core research challenge. You’ll join a small, high-bar team of hands-on engineers and researchers, where each person owns a large part of the work. We’re looking for research engineers who can build reliable data and evaluation systems, question what a metric actually tells us, and work closely with researchers and legal experts to turn model failures into measurable improvements. Learn more about our work at harvey.ai/research http://harvey.ai/research. WHAT YOU'LL DO - Build synthetic data pipelines that generate, filter, and curate training and evaluation samples for complex legal reasoning and agentic workflows. - Design evaluations and verifiers that reflect real legal work, calibrate them against expert judgment, and investigate where they fail. - Build and maintain capability benchmarks like our Legal Agent Benchmark (LAB), along with product-focused evals that track how models perform on real customer workflows. - Work with legal domain experts to define quality metrics, rubrics, and other grading mechanisms for training and evaluation. - Own training and evaluation data quality, including provenance, coverage, and safeguards against contamination. - Close the loop from product usage and customer feedback to new evaluations and training data, so models improve where customers need them most. - Partner with researchers to investigate model failures, distinguish real gains from misleading metrics, and use findings to guide training and release decisions. WHAT YOU HAVE - Experience building data pipelines, ML evaluation systems, or experimentation tooling, with strong Python skills and ownership of production-quality code. - A rigorous approach to measurement, including statistical reasoning, experimental design, and understanding when a metric can mislead. - The ability to translate ambiguous goals or expert judgment into structured datasets, rubrics, and measurable criteria. - Experience with synthetic data, LLM evaluations, automated raters, or preference data is a plus. Strong data and measurement engineering experience close to ML model development is valuable even without prior LLM work. We are hiring for this role across multiple levels. DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74. #LI-DZ1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: Remote Workplace: Remote WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW In this role, you'll build the data and measurement systems that power our post-training, benchmarking, and agent capability efforts. We recently post-trained our first model built for legal work, and we’re now building the team to scale up our post-training efforts. You’ll own synthetic data pipelines, evaluation design, the tasks and grading behind training environments, and the systems that turn feedback from domain experts into training signals and rewards. These are tasks where correctness often can’t be verified automatically, so defining and measuring quality is a core research challenge. You’ll join a small, high-bar team of hands-on engineers and researchers, where each person owns a large part of the work. We’re looking for research engineers who can build reliable data and evaluation systems, question what a metric actually tells us, and work closely with researchers and legal experts to turn model failures into measurable improvements. Learn more about our work at harvey.ai/research http://harvey.ai/research. WHAT YOU'LL DO - Build synthetic data pipelines that generate, filter, and curate training and evaluation samples for complex legal reasoning and agentic workflows. - Design evaluations and verifiers that reflect real legal work, calibrate them against expert judgment, and investigate where they fail. - Build and maintain capability benchmarks like our Legal Agent Benchmark (LAB), along with product-focused evals that track how models perform on real customer workflows. - Work with legal domain experts to define quality metrics, rubrics, and other grading mechanisms for training and evaluation. - Own training and evaluation data quality, including provenance, coverage, and safeguards against contamination. - Close the loop from product usage and customer feedback to new evaluations and training data, so models improve where customers need them most. - Partner with researchers to investigate model failures, distinguish real gains from misleading metrics, and use findings to guide training and release decisions. WHAT YOU HAVE - Experience building data pipelines, ML evaluation systems, or experimentation tooling, with strong Python skills and ownership of production-quality code. - A rigorous approach to measurement, including statistical reasoning, experimental design, and understanding when a metric can mislead. - The ability to translate ambiguous goals or expert judgment into structured datasets, rubrics, and measurable criteria. - Experience with synthetic data, LLM evaluations, automated raters, or preference data is a plus. Strong data and measurement engineering experience close to ML model development is valuable even without prior LLM work. We are hiring for this role across multiple levels. COMPENSATION $230,000 - $450,000 USD DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74. #LI-DZ1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: New York Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW In this role, you'll build the data and measurement systems that power our post-training, benchmarking, and agent capability efforts. We recently post-trained our first model built for legal work, and we’re now building the team to scale up our post-training efforts. You’ll own synthetic data pipelines, evaluation design, the tasks and grading behind training environments, and the systems that turn feedback from domain experts into training signals and rewards. These are tasks where correctness often can’t be verified automatically, so defining and measuring quality is a core research challenge. You’ll join a small, high-bar team of hands-on engineers and researchers, where each person owns a large part of the work. We’re looking for research engineers who can build reliable data and evaluation systems, question what a metric actually tells us, and work closely with researchers and legal experts to turn model failures into measurable improvements. Learn more about our work at harvey.ai/research http://harvey.ai/research. WHAT YOU'LL DO - Build synthetic data pipelines that generate, filter, and curate training and evaluation samples for complex legal reasoning and agentic workflows. - Design evaluations and verifiers that reflect real legal work, calibrate them against expert judgment, and investigate where they fail. - Build and maintain capability benchmarks like our Legal Agent Benchmark (LAB), along with product-focused evals that track how models perform on real customer workflows. - Work with legal domain experts to define quality metrics, rubrics, and other grading mechanisms for training and evaluation. - Own training and evaluation data quality, including provenance, coverage, and safeguards against contamination. - Close the loop from product usage and customer feedback to new evaluations and training data, so models improve where customers need them most. - Partner with researchers to investigate model failures, distinguish real gains from misleading metrics, and use findings to guide training and release decisions. WHAT YOU HAVE - Experience building data pipelines, ML evaluation systems, or experimentation tooling, with strong Python skills and ownership of production-quality code. - A rigorous approach to measurement, including statistical reasoning, experimental design, and understanding when a metric can mislead. - The ability to translate ambiguous goals or expert judgment into structured datasets, rubrics, and measurable criteria. - Experience with synthetic data, LLM evaluations, automated raters, or preference data is a plus. Strong data and measurement engineering experience close to ML model development is valuable even without prior LLM work. We are hiring for this role across multiple levels. COMPENSATION $230,000 - $450,000 USD DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74. #LI-DZ1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: Singapore, Singapore Workplace: Remote ROLE SUMMARY We’re hiring a manager to lead our Developer Advocates in APJ. The team covers two things: getting more developers in the region to discover and try Temporal, and helping our biggest customers get more out of it once they’re on board. You’ll own both. You’ll manage a group of developer advocates, but you won’t be stuck in meetings all day. We expect you to still give talks, run workshops, write code, and get in front of customers yourself. You’ll work closely with our Marketing department on events and community, and with Sales, Solutions Architects, and Developer Success on customer accounts. Good relationships with all of them are your key to success. What you’ll do - Hire, coach, and support a team of Developer Advocates spread across the region. Set priorities, then trust them to adapt to their own markets and audiences. - Decide how the team splits its time between community and customer work. Sort incoming customer requests by deal size, stage, and strategic value, and make the tough calls when there’s more demand than people, without letting community work get pushed aside. - Work with Marketing to plan where we show up in APJ: which conferences to speak at and which meetups to start or support. - Create and translate content that developers in the region will use, like talks, tutorials, blog posts, videos, sample apps, and livestreams. - Find the people in local communities who care about the problems Temporal solves and help them lead, contribute to open source, and spread the word. - Track whether it’s working: are more developers signing up, trying Temporal, and sticking around? - Own DevDays, our onsite customer engagement program, in APJ from start to finish. Work with the Global DevDays lead to tailor each one to the customer’s use cases. - Spot the engineers inside each account who could become champions, and make sure someone follows up with them. - Take what you hear from developers and customers back to Docs, Education, and Product, especially around localization and what different markets need. What you bring - Experience in developer advocacy, solutions engineering, developer education, or community work, ideally at a developer-focused or enterprise software company. You’ve worked on both sides: reaching developers in the broader community and working with engineering teams inside large customers. - Experience managing people, or you’re ready to take that step. Bonus if you’ve led a team spread across multiple time zones. - Real technical depth. You can build things, demo them, give a talk, and answer hard questions from experienced engineers. - You like running programs that work the same way every time. You’re organized about requests, priorities, and following through on commitments. - You’re comfortable working with Marketing, Sales, SAs, Dev Success, and Product, and you can explain how technical work leads to business results. - You’ve worked across different cultures and markets, and you know APJ isn’t one audience. - You care about helping developers, and you’d rather build trust than push a product. - Experience with durable execution, workflow orchestration, or distributed systems (Temporal especially) is a big plus. Temporal Technologies is an Equal Opportunity Employer. Temporal Technologies does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status, or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need. We embrace and celebrate differences and diversity. Temporal is committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. If you need to request a reasonable accommodation, please let your Recruiter know so we can assist.

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

Location: Remote USA Workplace: remote ABOUT YOU Xsolla Ads connects advertisers with players across Xsolla's games and commerce surfaces. Every dollar that moves through it depends on two kinds of integration working correctly: the oRTB connections to the DSPs and SSPs that buy and sell our inventory, and the MMP and event integrations that tell advertisers whether a player installed, registered, or made a purchase. You'll be the technical owner of those integrations for our strategic partners. That means you're the person a DSP calls when their bid rate falls off a cliff, the person an MMP works with to get postbacks mapped correctly, and the person who tells an advertiser exactly why their dashboard and ours disagree. You'll work with Partnerships, Product, Engineering, and Data, and you'll bring what partners need back into the roadmap in a form engineers can act on. ABOUT US Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game. Responsibilites: oRTB integrations (supply and demand) Own technical onboarding for DSPs and SSPs, from spec review and test traffic through to production. Map bid requests and responses against oRTB 2.5/2.6, including partner-specific extensions, and catch mismatches before they cost money. Set up and maintain seats, deal IDs, and floors, and keep ads.txt, app-ads.txt, sellers.json, and SupplyChain object data accurate. Troubleshoot bid rate, win rate, timeouts, creative rejections, and revenue discrepancies down to root cause. MMP and event integrations Run integrations with MMPs such as AppsFlyer, Adjust, and Singular, plus direct advertiser postback setups. Configure install and in-app event postbacks: macros and parameter mapping, click IDs, event names and values, attribution windows, and postback authentication. Work with advertisers to define which in-app events matter for their campaigns and confirm they fire correctly before launch. Reconcile conversion discrepancies between Xsolla, MMPs, and advertisers, and explain the cause in plain terms. Strategic partner ownership Be the technical point of contact on partner calls, and answer hard integration questions in real time. Build integration plans and launch checklists, and stay close to partners through go-live. Bring technical health and integration status into partner business reviews. Voice of the partner Turn partner requests and defects into well-scoped tickets with reproduction steps, logs, and expected behavior. Give Product and Engineering early feedback on specs, so integration problems get caught on paper. Write and maintain partner-facing integration guides and internal runbooks. Data and reporting Use SQL and logs to investigate discrepancies, monitor integration health, and spot problems before partners do. Build simple dashboards and reports that show partner and integration performance. Qualifications & Skills: 5–8 years in ad tech in a technical account management, solutions engineering, integration engineering, or partner support role. Fluent in oRTB. You can read a bid request and response, explain what each object does, and spot what's wrong. Hands-on experience setting up MMP integrations and debugging install and in-app event postbacks with at least one major MMP . Working knowledge of the supply chain transparency stack: ads.txt, app-ads.txt, sellers.json, and SupplyChain object. Strong with REST APIs, JSON, webhooks, and server logs. Comfortable writing SQL to answer your own questions. Experience as the technical owner for strategic partners such as DSPs, SSPs, MMPs, ad networks, or large advertisers. Clear communication with both engineers and non-technical partners, and calm under pressure when revenue is on the line. Ownership: you take a problem through to resolution rather than logging it and handing it off. Based in North America and able to work across North American time zones. Nice to Have: Hands-on experience with Prebid: Prebid.js, Prebid Server, or Prebid Mobile. Familiarity with the Ad Context Protocol ( AdCP ) or other agent-to-agent advertising standards. A track record of using Claude or other AI tools to get more done: writing integration test scripts, analyzing logs, drafting partner docs, or automating repeat work. Come ready to show us a real example. Experience in mobile gaming, app monetization, rewarded ads, or offerwalls. Familiarity with privacy-safe measurement such as SKAdNetwork and Privacy Sandbox. What Your Week Looks Like: A DSP 's bid rate drops 40% overnight. You pull sample bid requests, find a field that changed format in the last release, and coordinate the fix with Engineering. An MMP reports 18% fewer purchase events than we do. You trace it to event-value mapping and a deduplication rule, then agree the fix with both sides. An SSP 's sellers.json entry doesn't match our app-ads.txt, and buyers are filtering the inventory. You find the mismatch and get both files corrected. A new advertiser wants to pay on day-7 retention. You work out which in-app events their MMP can send, map them, and test the postbacks end to end before the campaign goes live. You notice three partners hitting the same integration problem, and you write it up for Product with a proposed fix. How Success Is Measured: New partners go from signed to live on schedule, without integration surprises in production. Discrepancies get explained and closed, not left open as a standing argument. Partners come to you first and resolve issues with you rather than escalating around you. Engineering receives well-scoped tickets and spends less time on back-and-forth. We catch integration health problems before partners report them. Benefits: We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees and their families through a comprehensive Benefits Program. This includes 100% company-paid medical, dental, and vision plans, unlimited Flexible Time Off, and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally. Together, we’re not just building a business; we’re cultivating a community that values creativity, collaboration, and the transformative power of play.   Equal Employment Opportunity Statement: Xsolla is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or any other characteristic protected by law. We consider qualified applicants with criminal histories in accordance with the Fair Chance Act.   Criminal History Consideration: For the Account Manager, we will conduct a background check that may include the following: Criminal history check Employment verification Education verification   Relevance to Job Responsibilities: The background check is relevant to this position because of the following role responsibilities: Accessing confidential company data Ensuring compliance with regulatory requirements     Rights Under the Fair Chance Act: Applicants are encouraged to inquire about their rights under the Fair Chance Act. If you have questions regarding our hiring practices, please contact careers@xsolla.com.

uMed is hiring a Site Activation Manager on a 6-month contract to set up and manage the NHS Clinical Research Facility (CRF) sites for AccessBrainHealth, our neurodegenerative disease cohort. Lead set-up of each NHS CRF site through to open, including Local Information Pack provision, and site specific queries.Â.

ARQ is looking for a Financial Crime Compliance Manager to independently test financial-crime controls assess risks and prepare for regulatory examinations.