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Location: Canada, Waterloo, ON 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. Sr. Software Development Engineer In Test, ML/AI At SIE, we believe in making play safer for everyone. Within our Information Security team, we protect our people, platforms, and products with smart, scalable, and thoughtful solutions. Our mission is to provide clear, actionable risk and security insights that guide the business and enable amazing player experiences. We’re building a team that thrives on collaboration, curiosity, and delivering real value. Come help us make a difference! Overview We are hiring a Sr Software Engineer in Test specializing in ML/AI quality, including automation for model evaluation, LLM-assisted test generation, and validation of AI-powered workflows. The role includes guiding quality strategy and developing automation frameworks. You will also manage implementation for complex, cross-functional, machine learning-powered products and services. This role involves more than test development. You will lead quality initiatives from start to finish, ensuring teams stay synchronized, dependencies are managed, and releases are delivered confidently. You will work closely with ML, engineering, product, and infrastructure teams. You will shape how quality is built, monitored, and expanded while leading embedded QE efforts within projects. What you’ll do Define and complete quality strategies, test plans, and automation coverage for ML-powered services and platform components. Use LLMs and other AI-assisted techniques to generate, expand, and maintain high-value test cases for ML-powered workflows. Design scenario-based test suites for AI features, including adversarial prompts, edge cases, ambiguous inputs, and underrepresented user scenarios. Lead QE efforts for multi-functional projects, driving risk assessment, dependency management, and release readiness. Design, develop, and maintain scalable automation frameworks for backend services, APIs, and ML inference systems using Python and/or Java. Build automated validation for ML and LLM outputs, including ranking behavior, score distributions, prompt/response quality, hallucination indicators, and probabilistic model evaluation. Debug test failures, service anomalies, model inconsistencies, and AI behavior regressions to identify root causes and drive resolution. Perform functional, integration, regression, API, end-to-end, performance, and reliability testing for distributed systems. Improve automation reliability, reduce flakiness, and optimize execution efficiency. Partner with engineering and ML teams to integrate automated testing into CI/CD pipelines and release workflows. Collaborate across teams to establish scalable quality standards, tooling, and guidelines. Required qualifications Bachelor’s degree in Computer Science or equivalent 5+ years of experience as an SDET or QE engineer focused on backend and distributed systems. Experience using LLMs to generate, transform, and prioritize test cases for AI-powered experiences. Experience with AI evaluation tooling, prompt evaluation frameworks, model monitoring, or human-in-the-loop review workflows. Strong experience testing RESTful APIs, microservices, and distributed architectures. Proficiency in Python, Java, JS or similar languages for automation development. Hands-on experience with automation frameworks such as pytest, JUnit, Selenium, Playwright, Cypress, or Appium. Experience with CI/CD systems and test pipelines (Jenkins, GitHub Actions, etc.). Experience with cloud and container technologies (AWS, GCP, Kubernetes, Docker). Familiarity with databases, monitoring, and observability tools. Strong understanding of SDLC, Agile methodologies, and release processes. Excellent problem-solving, debugging, and communication skills. Preferred qualifications Experience validating ML outputs using statistical analysis or scenario-based testing approaches. Familiarity with ML infrastructure, data pipelines, or model-serving platforms (Seldon, KServe, Ray Serve, etc.). Prior work in content moderation ML, security, fraud detection, or adversarial ML. Experience testing high-scale, low-latency online services. Experience with Databricks or similar ML platform tooling. Familiarity with Node.js, React, or modern frontend technologies. Experience testing mobile, console, or other non-PC platforms. What sets you apart Strong combination of automation engineering and delivery ownership. Ability to drive quality across complex cross-functional initiatives. Practical understanding of how to test non-deterministic AI systems and separate model variance from quality regressions. Proven risk management and dependency coordination skills. Ability to influence engineering teams and promote quality guidelines. Passion for scalable, reliable, and maintainable automation systems. At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more. The estimated base pay range for this role is listed below. $114,900 — $172,300 CAD 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: 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 Harvey ships product every week, and every release changes what our customers, our support specialists, and our AI Support agent need to know. Today that knowledge lives across fragmented surfaces, and the gap between what's shipped and what's documented shows up directly in ticket volume, resolution time, and the quality of answers customers get. The CX Knowledge Specialist owns the source of truth: the articles, troubleshooting guides, and product knowledge that specialists and our AI Support agent answer from. You'll consolidate that knowledge into one well-structured foundation built for both people and AI, keep it accurate as the product moves, and use ticket, search, and agent data to decide what to fix next. You'll work alongside our Enablement Specialists, who turn that knowledge into training and get the team ready for each launch. This is a hands-on role for a strong writer and systems thinker who wants to build the knowledge layer an AI-first support organization runs on.   WHAT YOU’LL DO - Audit today's fragmented content surfaces: inventory and tag what exists, flag what's duplicate or stale, and migrate it into one knowledge foundation. - Own the knowledge base: product support articles, troubleshooting guides, how-tos, and product best practices that specialists and the AI Support agent rely on. - Structure knowledge for both humans and AI. Apply taxonomy, metadata, and templates consistently, and write articles that retrieve and chunk cleanly for the AI Support agent as well as for specialists. - Keep knowledge current through every release. Track what Product ships, and update or create the affected articles before launch so they're ready for the Enablement Specialists' training and for the AI Support agent. - Close knowledge gaps at the source by owning the feedback loop. Triage reports of inaccurate, missing, or buried content from downstream teams, then update the source material. - Mine ticket signals, search logs, and agent escalations to find missing content, stale articles, and areas with high deflection potential, then prioritize fixes. - Build AI-assisted workflows for drafting, refreshing, and detecting stale content (prompts, automations, review queues) so knowledge scales without adding headcount. - Run review cycles, ownership assignments, versioning, and archiving so content stays accurate as the product changes weekly. - Serve as the day-to-day contact for SMEs in Product, Engineering, AI Support, and GTM Enablement to get content reviewed, validated, and adopted.   WHAT YOU HAVE - 5+ years of experience in knowledge management, support operations, technical writing, or content operations. - Hands-on experience with knowledge base platforms (Zendesk, Notion, or similar), including structuring, migrating, and maintaining content at scale. - Comfortable using LLMs in your daily workflow, and able to speak concretely to how you've used them to write, maintain, or improve content. - A systems thinker who likes structure, and a strong writer who can turn complex technical or legal-product details into clear, retrievable content. - Comfortable operating at Harvey's pace, where the product changes weekly and content needs to keep up without waiting for a perfect process. - Uses data (ticket trends, search behavior, QA findings) to decide what to write or fix next, rather than working from a static backlog. - Builds strong working relationships with cross-functional SMEs quickly, and can get content reviewed and adopted without direct authority.   COMPENSATION $88,000 - $132,000 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-CG1     Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: San Francisco Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started.   ROLE OVERVIEW Harvey ships product every week, and every release changes what our customers, our support specialists, and our AI Support agent need to know. Today that knowledge lives across fragmented surfaces, and the gap between what's shipped and what's documented shows up directly in ticket volume, resolution time, and the quality of answers customers get. The CX Knowledge Specialist owns the source of truth: the articles, troubleshooting guides, and product knowledge that specialists and our AI Support agent answer from. You'll consolidate that knowledge into one well-structured foundation built for both people and AI, keep it accurate as the product moves, and use ticket, search, and agent data to decide what to fix next. You'll work alongside our Enablement Specialists, who turn that knowledge into training and get the team ready for each launch. This is a hands-on role for a strong writer and systems thinker who wants to build the knowledge layer an AI-first support organization runs on.   WHAT YOU’LL DO - Audit today's fragmented content surfaces: inventory and tag what exists, flag what's duplicate or stale, and migrate it into one knowledge foundation. - Own the knowledge base: product support articles, troubleshooting guides, how-tos, and product best practices that specialists and the AI Support agent rely on. - Structure knowledge for both humans and AI. Apply taxonomy, metadata, and templates consistently, and write articles that retrieve and chunk cleanly for the AI Support agent as well as for specialists. - Keep knowledge current through every release. Track what Product ships, and update or create the affected articles before launch so they're ready for the Enablement Specialists' training and for the AI Support agent. - Close knowledge gaps at the source by owning the feedback loop. Triage reports of inaccurate, missing, or buried content from downstream teams, then update the source material. - Mine ticket signals, search logs, and agent escalations to find missing content, stale articles, and areas with high deflection potential, then prioritize fixes. - Build AI-assisted workflows for drafting, refreshing, and detecting stale content (prompts, automations, review queues) so knowledge scales without adding headcount. - Run review cycles, ownership assignments, versioning, and archiving so content stays accurate as the product changes weekly. - Serve as the day-to-day contact for SMEs in Product, Engineering, AI Support, and GTM Enablement to get content reviewed, validated, and adopted.   WHAT YOU HAVE - 5+ years of experience in knowledge management, support operations, technical writing, or content operations. - Hands-on experience with knowledge base platforms (Zendesk, Notion, or similar), including structuring, migrating, and maintaining content at scale. - Comfortable using LLMs in your daily workflow, and able to speak concretely to how you've used them to write, maintain, or improve content. - A systems thinker who likes structure, and a strong writer who can turn complex technical or legal-product details into clear, retrievable content. - Comfortable operating at Harvey's pace, where the product changes weekly and content needs to keep up without waiting for a perfect process. - Uses data (ticket trends, search behavior, QA findings) to decide what to write or fix next, rather than working from a static backlog. - Builds strong working relationships with cross-functional SMEs quickly, and can get content reviewed and adopted without direct authority.   COMPENSATION $88,000 - $132,000 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-CG1     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 WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW Harvey ships product every week, and every release changes what our customers, our support specialists, and our AI Support agent need to know. Today that knowledge lives across fragmented surfaces, and the gap between what's shipped and what's documented shows up directly in ticket volume, resolution time, and the quality of answers customers get. The CX Knowledge Specialist owns the source of truth: the articles, troubleshooting guides, and product knowledge that specialists and our AI Support agent answer from. You'll consolidate that knowledge into one well-structured foundation built for both people and AI, keep it accurate as the product moves, and use ticket, search, and agent data to decide what to fix next. You'll work alongside our Enablement Specialists, who turn that knowledge into training and get the team ready for each launch. This is a hands-on role for a strong writer and systems thinker who wants to build the knowledge layer an AI-first support organization runs on. WHAT YOU’LL DO - Audit today's fragmented content surfaces: inventory and tag what exists, flag what's duplicate or stale, and migrate it into one knowledge foundation. - Own the knowledge base: product support articles, troubleshooting guides, how-tos, and product best practices that specialists and the AI Support agent rely on. - Structure knowledge for both humans and AI. Apply taxonomy, metadata, and templates consistently, and write articles that retrieve and chunk cleanly for the AI Support agent as well as for specialists. - Keep knowledge current through every release. Track what Product ships, and update or create the affected articles before launch so they're ready for the Enablement Specialists' training and for the AI Support agent. - Close knowledge gaps at the source by owning the feedback loop. Triage reports of inaccurate, missing, or buried content from downstream teams, then update the source material. - Mine ticket signals, search logs, and agent escalations to find missing content, stale articles, and areas with high deflection potential, then prioritize fixes. - Build AI-assisted workflows for drafting, refreshing, and detecting stale content (prompts, automations, review queues) so knowledge scales without adding headcount. - Run review cycles, ownership assignments, versioning, and archiving so content stays accurate as the product changes weekly. - Serve as the day-to-day contact for SMEs in Product, Engineering, AI Support, and GTM Enablement to get content reviewed, validated, and adopted. WHAT YOU HAVE - 5+ years of experience in knowledge management, support operations, technical writing, or content operations. - Hands-on experience with knowledge base platforms (Zendesk, Notion, or similar), including structuring, migrating, and maintaining content at scale. - Comfortable using LLMs in your daily workflow, and able to speak concretely to how you've used them to write, maintain, or improve content. - A systems thinker who likes structure, and a strong writer who can turn complex technical or legal-product details into clear, retrievable content. - Comfortable operating at Harvey's pace, where the product changes weekly and content needs to keep up without waiting for a perfect process. - Uses data (ticket trends, search behavior, QA findings) to decide what to write or fix next, rather than working from a static backlog. - Builds strong working relationships with cross-functional SMEs quickly, and can get content reviewed and adopted without direct authority. COMPENSATION $88,000 - $132,000 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-CG1 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: Vancouver, BC We’re looking for a Senior Software Engineer to join our growing AI organization in Vancouver. Asana is pioneering a new category of technology as the human-agent operating system, doubling down on our AI Suite to move our customers toward expansive, end-to-end intelligent orchestration. We are expanding several of our key AI engineering teams: depending on where you land, you might lead architecture across our core agentic runtime, develop high-throughput evaluation and safety infrastructure, or build the sophisticated customer-facing builders and canvas surfaces that allow enterprises to coordinate humans and AI agents seamlessly. Because this is an organization-wide search across our AI teams, you will participate in a single, streamlined technical interview process, and we will work with you to match you to the ideal team at the end of your interview experience. This role is based in our Vancouver office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements. What you’ll achieve Drive the technical design, architecture, and end-to-end delivery of medium-to-large projects across our AI roadmap, guiding and collaborating with multiple engineers. Design robust, extensible, and performant systems that support agentic execution, prompt-driven automation, model orchestration, and strict enterprise-grade data boundaries. Solve complex technical problems by weighing technical debt, developer velocity, execution risk, and direct business goals. Anticipate customer and architectural risks early, breaking down complex, ambiguous product visions into clear engineering milestones and actionable tasks. Champion technical excellence, write high-leverage design docs, run meaningful retrospectives, establish testing norms, and mentor engineers across levels to raise the engineering bar. Partner closely with Product Managers, Engineering Managers, Product Designers, and Data Scientists to define requirements, clarify trade-offs, and align technical direction with Asana's broader product strategy. About you Demonstrates curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision-making. 6+ years of professional software engineering experience designing, building, and maintaining production distributed systems, microservices, or complex full-stack architectures. Demonstrated track record of technical leadership across multiple services or codebases, with practical experience or deep interest in LLMs, agentic patterns, evaluation pipelines, retrieval-augmented generation (RAG), or real-time streaming infrastructure. Proven ability to author comprehensive technical design docs, evaluate trade-offs (e.g., latency, cost, determinism, maintainability), and make durable architectural decisions. Track record of acting as a Tech Lead or Area of Responsibility (AoR) owner—successfully driving multi-contributor projects from ambiguity to delivery while navigating cross-team dependencies. Passion for mentoring and coaching fellow engineers, providing actionable code and design feedback, and establishing long-term engineering best practices. Deep empathy for the end-user experience, understanding how backend architecture and model behaviours directly affect user trust, interface latency, and workflow reliability. At Asana, we're committed to building teams that include a variety of backgrounds, perspectives, and skills, as this is critical to helping us achieve our mission. If you're interested in this role and don't meet every listed requirement, we still encourage you to apply. What we’ll offer Our comprehensive compensation package plays a big part in how we recognize you for the impact you have on our path to achieving our mission. We believe that compensation should be reflective of the value you create relative to the market value of your role. To ensure pay is fair and not impacted by biases, we're committed to looking at market value which is why we check ourselves and conduct a yearly pay equity audit. For this role, the estimated base salary range is between $176,000 -$200,000. The actual base salary will vary based on various factors, including market and individual qualifications objectively assessed during the interview process. The listed range above is a guideline, and the base salary range for this role may be modified. In addition to base salary, your compensation package may include additional components such as equity, sales incentive pay (for most sales roles), and benefits. If you're interviewing for this role, speak with your recruiter to learn more about the total compensation and benefits for this role. We strive to provide equitable and competitive benefits packages that support our employees worldwide and include: Mental health, wellness & fitness benefits Career coaching & support Inclusive family building benefits Long-term savings or retirement plans In-office culinary options to cater to your dietary preferences These are just some of the benefits we offer, and benefits may vary based on role, country, and local regulations. If you're interviewing for this role, speak with your recruiter to learn more about the total compensation and benefits for this role. #LI-Hybrid #LI-HC1 About us Asana is a leading platform for human + AI collaboration. Millions of teams around the world rely on Asana to achieve their most important goals, faster. Asana has been named to Fortune's Best Workplaces for 7+ years and recognized by Fast Company, Forbes, and Gartner for excellence in workplace culture and innovation. We offer an exceptional office-centric culture while adopting the best elements of hybrid models to ensure that every one of our global team members can work together effortlessly. With 13+ offices all over the world, we are always looking for individuals who care about building technology that drives positive change in the world and a culture where everyone feels that they belong. We believe in supporting people to do their best work and thrive. Our goal is to ensure that Asana upholds an environment where all people feel that they are respected and valued, whether they are applying for an open position or working at the company. We provide equal employment opportunities to all applicants without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by law. Join Asana’s Talent Network to stay up to date on job opportunities and life at Asana.

Location: Vancouver, BC We’re looking for a Software Engineer to join our growing AI organization in Vancouver. Asana is pioneering a new category of technology as the human-agent operating system, doubling down on our AI Suite to turn manual work into scalable, intelligent systems. We are hiring software engineers across several of our core AI teams, ranging from the platform foundations and runtime infrastructure powering autonomous agents, to the trust, evaluation, and observability systems that ensure safety and governance, to the high-impact product surfaces enabling users to build and run AI-orchestrated workflows. Because we are hiring for multiple teams, you will interview through a centralized interview process, and we will undergo a team matching process at the end. This role is based in our Vancouver office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements. What you’ll achieve Own the end-to-end implementation of small-to-medium features and services that power intelligent collaboration and agentic automation across Asana. Write clean, modular, and well-tested code across our stack while evaluating trade-offs between latency, cost, and reliability when integrating modern foundation models, prompt pipelines, and workflow orchestration logic. Proactively maintain and improve Areas of Responsibility (AoRs), monitor production pipelines, participate in team on-call rotations, and diagnose complex bugs across asynchronous or distributed systems. Break down feature specifications into clear engineering milestones, provide accurate technical estimates, and reliably execute to advance the adoption of the AI Suite. Elevate code quality, advocate for test coverage and technical debt remediation, and conduct thoughtful and rigorous code reviews for your peers. About you Demonstrates curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision-making. 2+ years of professional software engineering experience shipping production code in modern distributed architectures, web services, or data-intensive systems. Strong command of software design fundamentals, testing practices, and data structures, paired with experience or curiosity in working with LLMs, prompt pipelines, vector databases, or agentic frameworks. Demonstrated ability to take a technical specification, evaluate trade-offs, seek feedback on risky or complex changes early, and ship to production with minimal oversight. High bar for code health, writing well-structured, maintainable, and self-documenting code with comprehensive test plans and logical PR breakdowns. Experience collaborating closely with Product Managers, Designers, Data Scientists, and fellow engineers while communicating progress clearly and surfacing blockers early. At Asana, we're committed to building teams that include a variety of backgrounds, perspectives, and skills, as this is critical to helping us achieve our mission. If you're interested in this role and don't meet every listed requirement, we still encourage you to apply. What we’ll offer Our comprehensive compensation package plays a big part in how we recognize you for the impact you have on our path to achieving our mission. We believe that compensation should be reflective of the value you create relative to the market value of your role. To ensure pay is fair and not impacted by biases, we're committed to looking at market value which is why we check ourselves and conduct a yearly pay equity audit. For this role, the estimated base salary range is between $146,000-$162,000. The actual base salary will vary based on various factors, including market and individual qualifications objectively assessed during the interview process. The listed range above is a guideline, and the base salary range for this role may be modified. In addition to base salary, your compensation package may include additional components such as equity, sales incentive pay (for most sales roles), and benefits. If you're interviewing for this role, speak with your recruiter to learn more about the total compensation and benefits for this role. We strive to provide equitable and competitive benefits packages that support our employees worldwide and include: Mental health, wellness & fitness benefits Career coaching & support Inclusive family building benefits Long-term savings or retirement plans In-office culinary options to cater to your dietary preferences These are just some of the benefits we offer, and benefits may vary based on role, country, and local regulations. If you're interviewing for this role, speak with your recruiter to learn more about the total compensation and benefits for this role. #LI-Hybrid #LI-HC1 About us Asana is a leading platform for human + AI collaboration. Millions of teams around the world rely on Asana to achieve their most important goals, faster. Asana has been named to Fortune's Best Workplaces for 7+ years and recognized by Fast Company, Forbes, and Gartner for excellence in workplace culture and innovation. We offer an exceptional office-centric culture while adopting the best elements of hybrid models to ensure that every one of our global team members can work together effortlessly. With 13+ offices all over the world, we are always looking for individuals who care about building technology that drives positive change in the world and a culture where everyone feels that they belong. We believe in supporting people to do their best work and thrive. Our goal is to ensure that Asana upholds an environment where all people feel that they are respected and valued, whether they are applying for an open position or working at the company. We provide equal employment opportunities to all applicants without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by law. Join Asana’s Talent Network to stay up to date on job opportunities and life at Asana.

Location: Remote - United States Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . Team Description: The Ads Retrieval ML team builds the machine learning systems that identify relevant advertising candidates for Reddit users. Retrieval sits at the heart of the ads delivery funnel: before downstream ranking and auction decisions, our models determine which campaigns and ads are eligible to compete. We work on large-scale retrieval across multiple objectives, placements, and geographies. Our work combines representation learning, candidate generation, nearest-neighbor search, behavioral and contextual signals, and rigorous offline and online experimentation. Role Description: We are looking for a Staff Machine Learning Engineer to provide technical leadership for the Retrieval and Targeting ML team. You will lead the design and evolution of retrieval models and modeling practices that improve relevance, advertiser outcomes, and user experience at Reddit scale. This is an applied ML role centered on retrieval modeling and end-to-end product impact. You will be expected to stay close to the technical details—from data and objective design through model development, evaluation, experimentation, and launch—while setting direction for other engineers. Responsibilities: Define the technical direction and multi-year roadmap for ads retrieval modeling in partnership with engineering, product, data science, and ads stakeholders. Design, develop, and launch candidate-generation and retrieval models for campaigns and ads across Reddit’s advertising surfaces. Apply modern approaches such as two-tower architectures, representation learning, embeddings, sequence models, graph-based methods, and other deep learning techniques when they create meaningful product value. Improve the retrieval stack across key modeling decisions, including objectives, labels, sampling strategies, hard-negative mining, feature design, embedding generation, candidate filtering, and retrieval depth. Work with approximate nearest-neighbor and vector retrieval systems, reasoning about recall, relevance, freshness, diversity, coverage, latency, and cost trade-offs. Establish strong evaluation practices that connect retrieval metrics—such as recall, precision, candidate coverage, calibration, and downstream lift—to ads and user outcomes. Lead offline analysis and online experiments, interpret ambiguous results, and translate findings into the next modeling iteration. Partner with downstream ranking, ads platform, auction, measurement, and product teams to ensure retrieval models integrate effectively into the full ads funnel. Write design documents, review code and model changes, and raise the quality bar for modeling, testing, observability, and production ownership. Mentor ML engineers and help grow the team’s expertise in retrieval, recommendation, and representation learning. Required Qualifications: 7+ years of industry experience, including substantial experience building and shipping applied ML products. Deep experience with information retrieval, candidate generation, recommender systems, ranking, or related relevance problems. Strong understanding of retrieval modeling concepts, including DNN, embeddings, two-tower or dual-encoder models, approximate nearest-neighbor search, and multi-stage retrieval. Deep experience training, evaluating, debugging, and deploying deep learning models using TensorFlow, PyTorch, or similar frameworks. Demonstrated ownership of ML projects from problem framing and data preparation through offline evaluation, online experimentation, production launch, and iteration. Strong command of experimental design and model evaluation, including how offline retrieval metrics relate to downstream business and user metrics. Experience working with large-scale behavioral, contextual, or content datasets and complex feature pipelines. Strong software engineering fundamentals and the ability to write clear, reliable, maintainable production code. Technical leadership experience: setting direction, leading complex projects, influencing partner teams, and mentoring other engineers. Excellent written and verbal communication, with the ability to explain complex modeling choices to technical and non-technical audiences. Preferred Qualifications: Experience with ads retrieval, ads ranking, ad targeting, ad serving, recommendation, search relevance, or marketplace optimization Experience modeling user, content, campaign, or ad interactions with sequential, graph, or multimodal signals Experience connecting retrieval improvements to downstream ranking, auction, conversion, revenue, or user-experience outcomes Experience in ads marketplaces at peer companies Publications, patents, or industry contributions in applied ML or ranking systems Experience with sequential modeling (e.g., RNNs, Transformers) Benefits: 100% remote opportunity (we have 4 office locations for hybrid/onsite work preference in NY, SF, LA and Chicago) Comprehensive Healthcare Benefits and Income Replacement Programs 401k with Employer Match Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support Family Planning Support Gender-Affirming Care Mental Health & Coaching Benefits Flexible Vacation & Paid Volunteer Time Off Generous Paid Parental Leave #LI-AJ1 Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/ . To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base salary range for this position is: $230,000 — $322,000 USD In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable.  We will not sell your personal information or disclose it to any third party for their marketing purposes.  We will delete any recording of your interview promptly after making a hiring decision.  For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors . Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve.  Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

Location: San Francisco; Washington D.C.; New York City Workplace: Hybrid We're hiring a Legal Response Specialist on Perplexity's Support team to handle legal and other sensitive tickets. You'll help Legal answer routine requests for information and support Governance, Risk & Compliance, or GRC, on privacy and security requests. You'll review cases, write responses, and follow up until the work is done. Support Engineering owns the routing and safeguards that keep these tickets from being missed, answered by AI, or automatically closed. RESPONSIBILITIES - Monitor designated Support and Legal channels, assess urgency, and route requests for human review. Promptly escalate government, court, law enforcement, and legal-threat requests according to approved procedures. - Respond to routine requests using Legal-approved templates and guidance. Escalate matters requiring legal interpretation or disclosure of user information. - Answer routine requests for information under Legal's guidance. Gather account history and draft responses for matters that need review. - Help GRC process data subject requests and meet deadlines. Follow approved identity-verification and data-handling procedures. - Coordinate security questionnaires and data protection agreements, with Legal and GRC responsible for substantive review and approval. - Track each case through completion, including after handoffs. Record decisions, follow up on deadlines, and confirm the work is done before closing. - Work with Support Engineering to test routing, AI bypass rules, auto-close protections, and alerts. Investigate missed cases and verify fixes. - Keep approved replies and handoff instructions current with Legal and GRC. Arrange backup coverage so cases keep moving when you're out. - Handle other sensitive support escalations. Report backlog, response times, overdue cases, and recurring problems to Support, Legal, and GRC. REQUIREMENTS - 5+ years in support, trust and safety, legal or privacy operations, or compliance, ideally at a technology company. - Experience handling legal, privacy, or law enforcement requests. - Working knowledge of GDPR, CCPA, and data subject requests. - Judgment about when to involve Legal or GRC, and care with confidential and privileged information. - Clear writing, including in sensitive customer conversations. - Ability to manage competing deadlines and follow through without reminders. - Experience improving support processes with technical teams, including automation and AI safeguards. NICE TO HAVE - Experience with Intercom, Decagon, Linear, or Kodex. - Paralegal, privacy, or compliance experience or certification. - Experience with security questionnaires, SOC 2, ISO 27001, or HIPAA. - Familiarity with AI products or data tools for case reviews.

Location: San Francisco; Washington D.C.; New York City Workplace: Hybrid We're hiring a Legal Response Specialist on Perplexity's Support team to handle legal and other sensitive tickets. You'll help Legal answer routine requests for information and support Governance, Risk & Compliance, or GRC, on privacy and security requests. You'll review cases, write responses, and follow up until the work is done. Support Engineering owns the routing and safeguards that keep these tickets from being missed, answered by AI, or automatically closed. RESPONSIBILITIES - Monitor designated Support and Legal channels, assess urgency, and route requests for human review. Promptly escalate government, court, law enforcement, and legal-threat requests according to approved procedures. - Respond to routine requests using Legal-approved templates and guidance. Escalate matters requiring legal interpretation or disclosure of user information. - Answer routine requests for information under Legal's guidance. Gather account history and draft responses for matters that need review. - Help GRC process data subject requests and meet deadlines. Follow approved identity-verification and data-handling procedures. - Coordinate security questionnaires and data protection agreements, with Legal and GRC responsible for substantive review and approval. - Track each case through completion, including after handoffs. Record decisions, follow up on deadlines, and confirm the work is done before closing. - Work with Support Engineering to test routing, AI bypass rules, auto-close protections, and alerts. Investigate missed cases and verify fixes. - Keep approved replies and handoff instructions current with Legal and GRC. Arrange backup coverage so cases keep moving when you're out. - Handle other sensitive support escalations. Report backlog, response times, overdue cases, and recurring problems to Support, Legal, and GRC. REQUIREMENTS - 5+ years in support, trust and safety, legal or privacy operations, or compliance, ideally at a technology company. - Experience handling legal, privacy, or law enforcement requests. - Working knowledge of GDPR, CCPA, and data subject requests. - Judgment about when to involve Legal or GRC, and care with confidential and privileged information. - Clear writing, including in sensitive customer conversations. - Ability to manage competing deadlines and follow through without reminders. - Experience improving support processes with technical teams, including automation and AI safeguards. NICE TO HAVE - Experience with Intercom, Decagon, Linear, or Kodex. - Paralegal, privacy, or compliance experience or certification. - Experience with security questionnaires, SOC 2, ISO 27001, or HIPAA. - Familiarity with AI products or data tools for case reviews.

Location: Remote - United Kingdom Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . This contract engagement is open to candidates based in the UK as a fixed-term leave cover. We are seeking a strategic community management professional to join our International Community Team, and lead a growing team in EMEA. As the Manager of Community for EMEA, you will spearhead the development and execution of the community strategy that supports Reddit’s growth in the region. In this role, you will lead a team of Community Specialists and will take charge of defining the roadmap for community activation and moderation across focus markets, and help develop our international playbook. Your work will focus on experimenting, iterating, and refining processes that drive community engagement at scale. The insights you generate through these efforts will accelerate Reddit’s growth in EMEA, and serve as a model for other emerging markets. This role reports to the Director, International Community. Responsibilities : Craft and champion the regional community strategy, ensuring alignment with overall team and business goals. Drive the iteration, innovation, and scaling of the community and moderator growth playbook, proactively identifying new opportunities and launching bold initiatives in key markets. Inspire and empower regional teams to execute impactful programs that elevate local communities, and their markets. Encourage innovation and create an environment of continuous learning and improvement. Recruit, onboard, and train local community specialists in key markets to strengthen our collaboration with moderators and drive community engagement. Collaborate with cross-functional teams (Growth, Product, Engineering, etc.) to ensure successful alignment and execution of new initiatives. Gather regional insights and learnings, and effectively report results to various internal stakeholders. Lead, coach and develop the regional team; translate strategy into quarterly and sprint priorities, clear ownership and milestones; review risks and capacity, and unblock delivery Own community-health and growth outcomes across priority markets, including KPI progression, moderator coverage and retention, and the impact of community-building initiatives. Coordinate with Content, Growth, Product and relevant safety partners to deliver market initiatives and surface local needs for broader roadmap decisions. Required qualifications: 5-7 years of experience in community management or marketing operations, including at least 1-2 years in a leadership role, with a proven track record of driving community growth and delivering business impact through community-led or marketing projects. Organized with a strong ability to balance strategic thinking with operational execution. Problem-solver with excellent interpersonal skills, capable of collaborating with diverse cross-functional teams and influencing them to adopt a community-first mindset. Comfortable testing, iterating, and adjusting strategies to find the optimal approach for each market. Skilled at navigating ambiguous environments and experimenting with different approaches to achieve results in focus markets. Data-driven and results-oriented, with a keen ability to translate insights into action. Deep understanding of Reddit’s unique identity, and the critical role communities and moderators play in adding value to the platform and enhancing user experiences. Bonus Points Experience in moderation on Reddit or similar platforms (e.g., Discord, Facebook, or other forums). In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable.  We will not sell your personal information or disclose it to any third party for their marketing purposes.  We will delete any recording of your interview promptly after making a hiring decision.  For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors . Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve.  Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

Location: Remote, United Kingdom GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role As an Intermediate Fullstack Engineer (Ruby/Vue.js), Growth at GitLab, you'll help turn GitLab's self-serve funnel into a reliable source of new paying customers. You'll work on the in-product journey from a user's first visit through sign-up, trial, and first purchase, on both GitLab.com and self-managed GitLab. You'll collaborate closely with Product Managers, UX Designers, and Data Analysts, with a particular focus on backend development in Ruby on Rails and frontend work in Vue.js. This role gives you the opportunity to combine your fullstack engineering skills with product thinking and experimentation, shipping small changes quickly and measuring their impact on real customer outcomes. Some examples of our projects: Making it easier for self-managed users to try and buy GitLab Building upgrade prompts where users run into paid features Improving the trial experience, including trials of GitLab Duo Improving the tooling the team uses to run and read out experiments What you'll do Design, build, and iterate on A/B tests and experiments that increase first purchases on GitLab.com and self-managed GitLab. Build and improve registration, trial, onboarding, and in-product upgrade and purchase experiences to increase completion of these steps. Implement backend features and services in Ruby on Rails and frontend experiences using Vue.js. Analyze experiment results and product usage data with Data Analysts to decide which changes to keep, iterate on, or roll back based on first-purchase outcomes. Collaborate with Product Managers and UX Designers to define hypotheses and success metrics before shipping experiments, then compare results against those metrics. Maintain and improve our experimentation framework and tooling to increase experiment throughput and reduce the time from setup to results. Collaborate with other Engineering teams, including Fulfillment, to remove purchase barriers across GitLab’s codebase. Document decisions, review code, and share experiment results asynchronously so distributed teammates can track shipped changes and their measured outcomes. Take part in on-call or operational support where your team’s ownership model requires it. What you'll bring Professional experience developing with Ruby on Rails and modern JavaScript, along with solid Git, feature development, and deployment workflows. Experience working with relational databases and a solid understanding of web performance optimization. A track record of shipping features to production and owning them after release. Ability to use product data to decide what to build, keep, or roll back. Ability to document decisions and share updates asynchronously with distributed Product Management, UX, and Data teammates. Ability to organize your work, seek and apply feedback, and collaborate inclusively with teammates from diverse backgrounds, in line with GitLab’s values. Preferred, not required: experience with Vue.js, PostgreSQL, A/B testing, feature flags, experimentation frameworks, or SaaS sign-up, trial, billing, or checkout flows. We'll help you learn our tooling. About the team We’re GitLab’s Growth team: one team with one roadmap, prioritizing work by how directly it helps people buy. We work fully remotely and asynchronously across multiple regions, guided by GitLab’s values of transparency and iteration. Our challenge is running more high-impact experiments, faster, while coordinating changes with teams like Fulfillment and Pricing across the parts of the product they own. For more on how we work, see the Growth and Product sections of the GitLab handbook. How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Location: Remote, Poland GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role As an Intermediate Fullstack Engineer (Ruby/Vue.js), Growth at GitLab, you'll help turn GitLab's self-serve funnel into a reliable source of new paying customers. You'll work on the in-product journey from a user's first visit through sign-up, trial, and first purchase, on both GitLab.com and self-managed GitLab. You'll collaborate closely with Product Managers, UX Designers, and Data Analysts, with a particular focus on backend development in Ruby on Rails and frontend work in Vue.js. This role gives you the opportunity to combine your fullstack engineering skills with product thinking and experimentation, shipping small changes quickly and measuring their impact on real customer outcomes. Some examples of our projects: Making it easier for self-managed users to try and buy GitLab Building upgrade prompts where users run into paid features Improving the trial experience, including trials of GitLab Duo Improving the tooling the team uses to run and read out experiments What you'll do Design, build, and iterate on A/B tests and experiments that increase first purchases on GitLab.com and self-managed GitLab. Build and improve registration, trial, onboarding, and in-product upgrade and purchase experiences to increase completion of these steps. Implement backend features and services in Ruby on Rails and frontend experiences using Vue.js. Analyze experiment results and product usage data with Data Analysts to decide which changes to keep, iterate on, or roll back based on first-purchase outcomes. Collaborate with Product Managers and UX Designers to define hypotheses and success metrics before shipping experiments, then compare results against those metrics. Maintain and improve our experimentation framework and tooling to increase experiment throughput and reduce the time from setup to results. Collaborate with other Engineering teams, including Fulfillment, to remove purchase barriers across GitLab’s codebase. Document decisions, review code, and share experiment results asynchronously so distributed teammates can track shipped changes and their measured outcomes. Take part in on-call or operational support where your team’s ownership model requires it. What you'll bring Professional experience developing with Ruby on Rails and modern JavaScript, along with solid Git, feature development, and deployment workflows. Experience working with relational databases and a solid understanding of web performance optimization. A track record of shipping features to production and owning them after release. Ability to use product data to decide what to build, keep, or roll back. Ability to document decisions and share updates asynchronously with distributed Product Management, UX, and Data teammates. Ability to organize your work, seek and apply feedback, and collaborate inclusively with teammates from diverse backgrounds, in line with GitLab’s values. Preferred, not required: experience with Vue.js, PostgreSQL, A/B testing, feature flags, experimentation frameworks, or SaaS sign-up, trial, billing, or checkout flows. We'll help you learn our tooling. About the team We’re GitLab’s Growth team: one team with one roadmap, prioritizing work by how directly it helps people buy. We work fully remotely and asynchronously across multiple regions, guided by GitLab’s values of transparency and iteration. Our challenge is running more high-impact experiments, faster, while coordinating changes with teams like Fulfillment and Pricing across the parts of the product they own. For more on how we work, see the Growth and Product sections of the GitLab handbook. Poland base salary range: zł 248,000 - zł 372,000 The base salary range for this role’s listed level is currently for residents of the EU, applicable in the specified country or countries only. Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location and having regard to any applicable collective agreements. The base salary range does not include bonuses, equity, or benefits. How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Location: Hybrid 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 Amsterdam, Netherlands and London, United Kingdom 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. What you will do as a Customer Engineer The Senior Customer Engineer (CE) is the core driver of our technical go-to-market strategy: a trusted technical advisor and primary architect of the customer journey. You will bridge the gap between technical strategy and business value—guiding enterprise clients from initial pre-sales technical validation through onboarding, deployment architecture, and full lifecycle expansion. Sitting within the GTM organization and reporting to a Customer Engineering Leader, you will not hand off your customers once an initial agreement is reached. Instead, you will operate as a quota-carrying technologist, leveraging AI-augmented workflows to eliminate administrative toil so you can focus on high-value architectural design and driving measurable business outcomes across the entire customer journey. Key Responsibilities Technical Validation: Partner closely with Account Executives to lead technical deep-dive discovery, capture business requirements, and map complex customer infrastructure - DNS, CDN, Zero Trust, Network Security, Workers - to fit-for-purpose Cloudflare architectures and bespoke solutions. . Define, scope, success criteria, and technical evaluations plans for Proof of Concepts (PoCs) and Technical Validations. Deliver tailored technical presentations, architectural diagrams, and demonstrations that show how Cloudflare solves specific performance, security, and reliability challenges. Proactively address complex technical objections, security compliance questions, and edge-case architectural requirements during the sales cycle. Take accountability for a suitable solution deployment strategy (Customer, Partner or Cloudflare Professional services) being an integral part of all proposals. Customer Adoption & Value Realization: Provide oversight to technical onboarding and implementation, but not execute the implementation, serving as the primary executive and engineering contact for the customer. Design structured migration and onboarding blueprints tailored to the customer’s environment (e.g. DNS migrations, Zero Trust rollouts, WAF tuning guidance), and act as the lead consultant for customer engineering teams, walking them step-by-step through configuration best practices.  Partner with Account Executives to own discovery, demos, onboarding, technical health, risk, and expansion strategy. Proactively monitor customer health scores and telemetry to ensure rapid time-to-value, resolve integration bottlenecks, and reduce deployment risk. Commercial Accountability & Expansion: Carry a variable quota tied directly to new business acquisition and/or ongoing account growth. Be commercially accountable for ensuring deep platform adoption, retaining revenue, and identifying strategic cross-sell and up-sell opportunities based on product usage data. Lead technical Quarterly Business Reviews (QBRs) to translate platform capabilities into return on investment for C-level executives. Trusted Advisory: Act as a trusted technical advisor throughout the entire customer lifecycle, maintaining a continuous, deep relationship with key stakeholders from initial onboarding through maturity, renewal, and expansion. Provide thought partnership on architecture, AI control layers, security posture, and deployment confidence. Identify potential deployment risks or integration bottlenecks early, and provide remediation strategies to de-risk customer outcomes. AI Orchestration & Workflow Automation: Leverage AI agents, Large Language Models (LLMs), and internal platforms to automate routine tasks such as RFP/Security Questionnaire responses, sandbox provisioning, basic telemetry monitoring, and internal/external documentation, reclaiming your time for strategic customer advisory. Education & Enablement: Partner closely with the Enablement Team to design, build, and govern technical resources. Define, document, and educate both internal teams and customers on deliverables such as Standard Operating Procedures (SOPs), architectural best practices, and technical guides to continuously raise the technical baseline across the organization. Minimum Qualifications Experience: 8 - 12 years of 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 Architectural Mindset: Ability to white-board, design, and articulate complex enterprise network and security architectures clearly. Consultative & Advisory Skills: Excellent communication skills with the ability to translate deeply technical concepts into business outcomes for both hands-on engineers and C-level executives. Commercial Mindset: Proven track record of operating in a quota-carrying or revenue-aligned environment, with a strong understanding of SaaS metrics, business value translation, and enterprise sales cycles. Communication: Exceptional presentation and stakeholder management skills, capable of bridging the gap between deep technical implementation details and high-level C-suite business strategy. Technical Breadth: We do not expect every candidate to be an expert in every domain. Qualified candidates will demonstrate depth in at least four of the technical areas below: Internet fundamentals: Deep understanding of how the Internet works, including OSI Model layers 1–7, BGP, GRE, TCP/UDP, DNS (authoritative and recursive), HTTP(S), and SSL/TLS. Security: Expertise in the security of Internet properties, including WAF, Bot Management, Firewalls, Rate Limiting, (M)TLS, Zero Trust, and SASE concepts. Performance: Expertise in the performance of Internet properties, including speed, latency, caching, video streaming, HTTP/2, and TLS 1.3. AI Proficiency: Familiarity with prompt engineering, AI-assisted scripting and log analysis, LLM utilization, and workflow automation to augment everyday CE workflows. Coding/Scripting: Proficiency in Python, JavaScript, Bash, Lua, Go, or similar languages to write custom integration scripts, API connectors, and edge computing functions. Developer Platform Fluency: Experience designing, building, deploying or scaling applications using RESTful/GraphQL APIs, SDKs, webhooks, and developer tooling in cloud-native environments. Familiarity with infrastructure-as-code (Terraform, Pulumi), CI/CD pipelines, and observability for developer-led deployments. Strongly Preferred Qualifications (The "Good-to-Haves") Technical Enablement: Track record of creating and delivering technical enablement - workshops, code samples, documentation, or developer onboarding - that accelerates customer adoption of complex platforms. Applied AI Knowledge: Experience with LLM orchestration, Retrieval-Augmented Generation (RAG) architectures, and model-access controls. Regulatory Knowledge: Understanding of regulatory requirements such as PCI DSS, HIPAA, and SOC 2. Hyperscaler / Digital Native Background: Talent coming out of hyperscalers, digital natives, distributed systems environments, or startups is strongly valued for its deeper cloud fluency and advanced architecture depth. Education Undergraduate or graduate degree in Computer Science, Engineering, or a related field. Travel This role may require travel up to 20–50% to attend customer meetings, conferences, industry events, and in-person team collaboration. Compensation This role features a competitive base salary and a variable compensation structure tied directly to the successful execution of full-lifecycle commercial targets, including new business acquisition, ongoing adoption milestones, and overall account expansion. For Netherlands based hires: Estimated annual salary is between €111,000 - €174,000. The final offer will be inclusive of time exemption, in alignment with the applicable law and collective bargaining agreements. This role is eligible to earn incentive compensation under Cloudflare’s Sales Compensation Plan. The estimated annual salary range includes the on-target incentive compensation that may be attained in this role under the Sales Compensation Plan. Equity This role is eligible to participate in Cloudflare’s equity plan 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: Limassol, Cyprus Workplace: on-site Mayflower is a technology company building large-scale entertainment products for a global audience. Our platforms serve millions of users worldwide and rank among the top-50 most visited websites globally. For more than 10 years, we've been creating reliable, high-performance solutions at the intersection of product, engineering, and entertainment. As Cook B , you will support daily kitchen operations by preparing ingredients, cooking assigned menu items, and assisting with mise en place and service preparation. You will work closely with senior kitchen staff to maintain food quality, organization, and efficiency while following established food-safety and hygiene standards. If you are a motivated, reliable, and detail-oriented individual eager to develop your culinary skills and contribute to a professional kitchen team, we encourage you to apply for this position. Job Responsibilities Food Preparation & Cooking Wash, peel, trim, and cut vegetables, meat, and other ingredients. Complete basic food-preparation tasks and cook assigned menu items according to recipes and instructions. Support the Chef de Partie and Cook A with mise en place and service preparation. Kitchen Operations & Stock Management Keep ingredients, utensils, and workstations ready for production. Check ingredient freshness and report shortages, damage, or quality concerns. Assist with receiving, storage, and stock rotation. Develop speed, accuracy, knife skills, and consistency through daily kitchen work. Hygiene & Food Safety Keep work areas, utensils, and equipment clean and organized. Follow food-safety, allergen, hygiene, and workplace-safety procedures. Follow instructions carefully and ask for clarification when needed. You will thrive if you have… 1–2 years of experience in a professional kitchen. Culinary graduates with good practical training may also be considered. Ability to work in shifts (5:00 am - 2:00pm ), (6:30 am- 2:30 pm ),(7:30am-3:30pm) Basic cooking skills, including safe knife handling, cutting techniques, weighing, portioning, and basic cooking methods. Ability to complete mise en place according to instructions, recipes, and shift requirements. Ability to follow recipes, quantities, and presentation instructions accurately. Basic practical knowledge of personal hygiene, cleaning procedures, proper food storage, and cross-contamination prevention. Ability to keep the workstation clean, organized, and ready for production. Willingness to follow instructions, accept feedback, work as part of a team, and report problems or shortages promptly. Positive attitude towards learning, developing culinary skills, taking responsibility, and maintaining reliability. Culinary studies and previous experience in a similar kitchen environment are considered an advantage. Fluency in Greek is mandatory. English or Russian is a plus. Conditions We know that great talent deserves great conditions, so here's what you can expect when joining us: EU-based employment contract. Transparent performance reviews, with bonus opportunities and salary adjustments. Private medical insurance for you and your family, a corporate mobile plan (unlimited in Cyprus with roaming included), and interest-free support for car purchases. Provident fund (Cyprus): a long-term savings plan co-funded by you and the Company together (available after probation) that grows throughout your time with us in Cyprus. 21 days vacation leave & 10 days paid sick leave. Mindfulness & well-being support, including psychological assistance with 50% coverage. 50% coverage of school and kindergarten fees for your children. Fully covered sports benefits, and also access to in-house electric scooters and bike rentals. Investment in your growth: paid language courses and access to suited-for-you development programs, including conferences, training programs, and coaching to support your professional journey. A fully equipped office in Limassol, with everything you need for deep work and collaboration. Free catering in the office and an in-house coffee bar with high-quality drinks and a health bar stocked with nutritious snacks. Benefits are provided in accordance with the company's policies and eligibility criteria.

Location: Dallas Who are we? Tripledot Studios is one of the largest independent mobile games companies in the world. We are a multi-award-winning organisation, with a global 2,500+ strong team across 12 studios. Our expanded portfolio includes some of the biggest titles in mobile gaming, collectively reaching top chart positions around the world and engaging over 25 million daily active users. Tripledot’s guiding principle is that when people love what they do, what they do will be loved by others. We’re building a company we’re proud of. One filled with driven, incredibly smart and detail-orientated people, who LOVE making games. Our ambition is to be the most successful games company in the world, and we’re just getting started. This role sits within our Peoplefun studio. PeopleFun is an award-winning creator of mobile games for players across the globe, and a part of Tripledot Studios, with world-class projects, resources, and infrastructure. PeopleFun is a Dallas-based game studio founded and led by game industry veterans, where game developers thrive on collaboration, creativity, teamwork, and fun. Our games are played by over 25 million players each month, and we are hard at work on a number of exciting new mobile games to fuel our future growth. We believe in bringing People together through Fun by creating best-in-class social features and communities in our games that enable our players to engage deeply with other players. We also bring our studio teammates together by creating the very best game teams, ones that foster healthy collaboration, incredible productivity, and life-long professional relationships. Job Summary PeopleFun's New Games Team is looking for a Level Designer who lives in level editors, feeds on ideation, and brings smiles to players’ faces with delightful surprises around every corner. Our team makes original casual mobile games for a mass-market audience, and we judge them by one thing above all: do players keep coming back? In this role you'll build, tune, and ship the levels that make or break that answer. You'll take the first 20 minutes of a brand-new game and make them unforgettable with the puzzly good content you author, and then build ramps of hundreds of levels that keep players hooked for days, weeks, months. Our team works hypothesis-first: we spot something in the market, theorize why it’s trending, build a clean polished game that can test it, and let players tell us what's next. You'll join a small, senior-heavy incubation team where your levels go in front of real players within weeks, not years. There’s no better, faster way to level up your design chops than sprinting with our team. Responsibilities Design, build, and tune levels in Unity or our custom level editors, and prompt AI to improve these same tools as you go. Shape the player progression across the level ramp, i.e. introducing new mechanics and pacing the difficulty level (with hard levels intentionally balanced by breathers). Invent new goals, blockers, and boosters within an existing game, and prove them out with sample puzzle layouts or vibe-coded prototypes (we’ll show you how). Use playtests to find where players struggle or get bored, and rebuild levels in response. Review level-by-level metrics (attempts, win rate, completion time, drop-off) with our data partners and retune the ramp each release. Play and tear down the top casual games on a regular basis, and bring any lessons that apply to our games back to the team. Maintain shared docs on level design & intent – featured mechanic, target difficulty, metrics or analysis of every level, so anyone on the team can work on the ramp alongside you. Partner with engineers to improve the game, including procedural and AI-assisted level generation. Move across two or more prototypes at different stages, and let go of work quickly when a test tells us to pivot. Requirements 2+ years of professional level design experience on casual games, OR 3+ years of professional experience in related disciplines on mobile games. Hands-on experience building levels using level editors. Comfort with Unity and the basic tools of game development (like source control) Working knowledge of level design fundamentals: progression, pacing, difficulty curves, and onboarding (FTUE). Demonstrated experience revising your own designs based on playtest feedback. Clear written and verbal communication of design intent, to collaborate with artists, animators, engineers, and product partners. Ability to work on a hybrid schedule from our Dallas-area office. Nice to have Shipped levels in a puzzle, word, block, or match game, with samples you can share (level breakdowns, ramp sheets, or a portfolio). Experience reading level funnels and tuning from data; familiarity with tools like Looker, BigQuery, Tableau, etc. Experience prototyping new mechanics with AI (or on paper or in whitebox) to test them before engineering investment. Fluency with spreadsheets for authoring and tuning content (formulas, ramp tables, parameter sheets). Experience taking a game from prototype through soft launch, or working on an incubation team. Scripting experience (C# or Python), or experience with procedural or AI-assisted content generation. Experience designing or evaluating A/B tests on level content. Recent examples of silly-little-prototypes or actually-useful-tools you’ve built prompted AI to create for your amusement or utility. A habit of playing current top-grossing casual games, explaining why they work, and spotting the most salient innovation Don't meet every qualification? Research shows many great candidates hold back unless they check every box. If this role excites you and you can build great levels, we'd love to hear from you. Working at Tripledot Time Off: Flexible Discretionary Time Off policy in addition to bank holidays to relax and refresh throughout the year. Financial: Generous 401k match, discretionary bonuses, and competitive salaries. Health & Wellness: Comprehensive Medical, Dental, and Vision coverage. Employee Assistance Program: Anytime you need it, tap into confidential, caring support with our Employee Assistance Program, always here to lend an ear and a helping hand. Continuous Professional Development: Propel your career with continuous opportunities for professional development. Family-Friendly Culture: A generous parental leave policy and a supportive, family-friendly culture. Regular company events: Yearly on-site events that celebrate our achievements and our team spirit. The anticipated base salary range for this role is $80,000–$105,000. Compensation decisions are made based on the unique qualifications, experience and circumstances of each candidate. Actual compensation is determined based on a variety of factors, including, but not limited to an individual's skills, experience, education, training, licenses and certifications (where applicable), as well as business and organizational needs. The final compensation package will be based on the specific position offered in addition to a full range of medical and other benefits. Tripledot Studios is proud to be an equal-opportunity employer that is committed to inclusion and diversity. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status, or other legally protected characteristics. As part of our interview process, we may use AI-enabled tools to assist with note-taking and summarizing conversations. These tools are used only to support our recruiters and interviewers. They are not used to screen applications or make hiring decisions. All candidate evaluations and hiring decisions are made by people. This opening is for an existing vacancy. All legitimate Tripledot roles are only posted on our official careers page and LinkedIn and we do not conduct job interviews via messaging apps like WhatsApp, Telegram or others. We never ask for personal or financial information during interviews. Sensitive information is only ever requested after a formal written offer through official channels.  Any attempt to do so may be the result of a scam or phishing attack, and you should not engage. Our in-house recruitment team will only contact individuals through their official Company email addresses (tripledotstudios.com)

• Ручное тестирование и валидация изменений кода, сгенерированных агентной/автоматизированной системой на основе транскриптов поддержки (чат/голос). • Проведение exploratory testing и проектирование подробных тест‑сценариев для сложных изменений.

Location: London, United Kingdom - Deliveroo Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team. Join us in our mission to transform the way people shop and eat, where impact, innovation and growth drive everything we do. Our Product team defines how millions of people experience Deliveroo, turning complex marketplace challenges into simple, high-impact solutions. Working at the intersection of data, design and engineering, we set direction, prioritise what matters most, and deliver outcomes that move the business forward. We're looking for a Staff Conversation Designer to join in London and set the design direction for AI-powered support across Deliveroo, DoorDash and Wolt. You'll bring a strong AI fluency, technical practice, and editorial point of view to build and shape conversations powered by our LLM models: deciding what a conversation needs to say, what to leave out and how to make each exchange clear, useful, and worthy of people's trust. You'll shape the personality, voice, tone and experience principles that express our brands, local language and support philosophy. You will craft conversation specs, prompts, and evals, annotate data, and co-build the tools and harness that drives our experience. Success means fewer avoidable problems, better resolutions when help is needed, and stronger design practices that help teams deliver those outcomes consistently. What You’ll Be Doing Set support conversation strategy across support journeys, connecting what people need in the moment, what the business can promise, and what operations can actually do. Influence roadmaps with Product, Engineering and Operations, deciding where to invest, what to sequence first and how to balance quality, speed and impact. Design and maintain conversation flows . Lead proactive guidance, chat and voice experiences from definition through launch, anticipating needs to prevent or resolve problems before people ask for help. Create and maintain multi-turn conversation specs covering context, interruptions, changing intent, clarification, error recovery, fallback paths and human handoffs without repetition. Prototype new conversational experiences . Invent and test new conversational patterns, interaction paradigms, personas, and support experiences. Use LLMs and code to explore how people could ask for help, act on options and move between chat, voice and other interfaces. Work with Engineering to shape the information, actions, and human judgement these experiences need, using working prototypes and user feedback to decide what to pursue. Shape voice, tone and behaviour . Set the editorial direction for support conversations across brands, markets and modalities. Write and iterate on system prompts and persona definitions that express this direction through model behaviour. Make deliberate choices about wording, pacing and tone, adapting to local voices, policies and access needs while keeping conversations useful and promises accurate. Build evaluation datasets and testing plans . Establish how teams evaluate conversation quality before and after launch. Create evaluation datasets, testing plans and scoring rubrics to test conversation flows and model behaviour. Define annotation guidelines and annotate conversations for evaluation and model training, calibrating judgments so teams assess quality consistently. Combine these evaluations with research, performance data and reviews of hundreds of transcripts to improve accuracy, resolution quality and customer effort, and influence what the team prioritises. Design conversational safeguards . Identify conversational risks and define, implement and test guardrails. Address hallucinations, harmful or biased responses, and requests outside the service’s scope. Define how conversations protect sensitive information, stay within the system’s authority to act, and acknowledge uncertainty or seek human judgement. Raise conversation design capability . Help the wider Studio develop technical fluency and conversational judgement through mentorship, education and shared tools. Build reusable prompt guidance, evaluation tools and working practices with design and cross-functional peers, and lead their adoption across teams to improve conversation quality and inform product priorities. What You’ll Need to Thrive Work samples . Work samples showing strong editorial and conversational judgement, whether through conversational systems, content programmes or shipped products. Show your personal contribution, the direction you set, alternatives you explored and evidence of improved outcomes. We welcome different formats that make your thinking, execution and influence clear. Strategic leadership . Experience setting direction across teams and influencing product priorities, with examples of resolving ambiguity and making trade-offs between user needs, commercial goals and technical constraints. Editorial judgement . A strong editorial point of view, backed by excellent writing and editing. You can explain why a conversation needs a particular message, sequence or tone, cut what gets in the way and give others specific feedback that improves the work. Your background may be in editorial, content design, linguistics, product design or another discipline; what matters is how you apply that judgement to interactive experiences. Hands-on AI practice . Practical fluency with LLMs and code, demonstrated through working AI prototypes and direct investigation of model behaviour. You can distinguish conversational problems from limitations in data, tools or the wider system. Service design judgement . The ability to connect individual conversations to the wider service, including user intent, context, available actions and agent workflows. Your decisions account for accessibility, localisation, privacy and situations that need human intervention. Evaluation and training experience . Experience developing conversation evaluations and annotating model-training data, with evidence of how qualitative and quantitative findings improved model behaviour and informed product decisions. Impact beyond your own work . A track record of improving other teams’ design quality through mentorship, critique and shared tools or practices they’ve adopted. Why Join Us? At Deliveroo, you’ll do work that matters, solving real-world problems in a three-sided marketplace that’s constantly evolving. We’re food lovers, problem solvers, community builders and more, brought together by a shared drive to make things better. Working here you can expect to: 🔧 Solve meaningful problems at real scale Work on a complex, always-on marketplace that impacts millions every day. 🌱 See your impact, fast Ship, test and improve ideas quickly in a low-hierarchy, high-ownership environment. 🧠 Grow through challenge and ownership Take on big, ambiguous problems and accelerate your career with strong support. 🌎 A culture built for builders High standards, collaboration, flexible working and continuous learning. ​​💰 Share in the success you help create Competitive salary and equity options, so you’re rewarded for the impact you make. ➡️ Want a deeper look at how we build? Check out our Tech Blog . Diversity, Equity and Inclusion At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We’re committed to fostering an environment where everyone can do their best work and feel they belong. We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief. If you have a disability or long-term health condition and need support to apply for one of our roles, or require any reasonable adjustments during the recruitment process, you’ll have the opportunity to let us know once you’ve submitted your application. We’ll share details on how to request support so we can ensure you have a fair and equitable experience. If you’re excited about making a real impact in a fast-moving marketplace and growing your career alongside ambitious, supportive teams, we’d love to hear from you! Beware of recruitment scams: DASH Brands will never ask you to pay money or share sensitive financial information during hiring — learn more about DASH Brands' legitimate recruiting process at careersatdoordash.com/recruitment-scam-awareness .

Location: Bengaluru Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW Harvey is building the infrastructure foundation behind one of the most ambitious AI product companies in the world. Our Core Infrastructure team powers every user interaction across Harvey’s legal AI platform, which already processes billions of prompt tokens and millions of daily requests for leading law firms, enterprises, and other high-stakes customers. We are looking for an Engineering Manager to lead Core Infrastructure from Bengaluru as we scale the platform, the team, and the next generation of Harvey products. This is a high-leverage role for a builder-leader who can grow strong engineers, drive technical execution, and raise the bar on reliability, performance, security, and developer velocity. This is not a pure operations role. Core Infrastructure at Harvey is responsible for building new systems as well as hardening existing ones, with an emphasis on architecture, scale, and long-term platform leverage rather than reactive firefighting alone. Harvey is in a build era, not a maintenance era. New product surfaces ship rapidly, and India engineering is expected to play a foundational role in shaping the architecture, culture, and roadmap of Harvey’s next decade. At Harvey, we value Decisiveness, Simplicity, and the mindset that Job's Not Finished. We move fast, prioritize clarity, and are always striving for excellence. If this resonates with you, we'd love to hear from you. WHY THIS ROLE MATTERS: Core Backend Infrastructure exists to “deliver core infrastructure that powers our products and teams,” and its current mission is operational excellence at scale. The team serves two critical user groups: external customers who need Harvey to be as reliable as the tools it replaces, and internal product engineering teams who need infrastructure they can build on without firefighting. The systems this team owns are directly tied to Harvey’s next wave of growth, including agent infrastructure, database resilience, site reliability, vector search, job execution, regional data residency, and multi-cloud scale. WHAT YOU'LL DO: - Lead, hire, and develop a high-agency infrastructure team in Bengaluru, creating a culture of accountability, technical excellence, and strong mentorship. - Own delivery for core infrastructure investments spanning cloud infrastructure, observability, container orchestration, reliability, and platform foundations. - Partner closely with Product Engineering, Security, and adjacent platform teams so infrastructure accelerates product delivery instead of constraining it. - Guide technical strategy across multi-cloud infrastructure, including Azure- and GCP-based systems, Kubernetes orchestration, networking, container management, and infrastructure as code. - Drive operational excellence through better observability, incident response, disaster recovery, runbooks, alerting, and recovery tooling. - Help the organization scale safely by improving system design quality, hardening critical paths, and pushing durable solutions to reliability bottlenecks before they become customer-facing failures. - Partner with AI and product teams to support Harvey’s next major product surfaces, including agent workflows, model infrastructure, and large-scale document processing systems. - Contribute as a hands-on technical leader when needed, especially in architecture reviews, incident leadership, prioritization, and high-stakes cross-functional programs. REPRESENTATIVE PROBLEMS YOU MAY LEAD: - Hardening the Agent Platform so product teams can ship AI agent experiences with resource isolation, authenticated sandbox access, and resilient execution. - Improving database resilience and recovery so incidents are mitigated quickly and the main database never becomes the bottleneck during critical events. - Raising site reliability through stronger alerting, failover strategy, autoscaling, and runbooks so customers are never the first to know Harvey is degraded. - Scaling vector and retrieval infrastructure that underpins document-heavy workflows and enterprise search, including migrations that improve reliability and unlock new capabilities. - Building a multi-region, enterprise-grade platform that meets strict data residency, security, and uptime expectations for global customers. WHAT WE’RE LOOKING FOR: - 12+ years of hands-on backend infrastructure or platform engineering experience in production environments - 5+ years of engineering management experience. - Deep technical strength across cloud infrastructure, Kubernetes, networking, observability, CI/CD, and infrastructure-as-code tooling such as Terraform or Pulumi. - A track record of designing and scaling reliable distributed systems, with strong judgment around performance, fault tolerance, and operational tradeoffs. - Experience leading complex cross-functional initiatives and translating ambiguous platform needs into clear execution plans and measurable outcomes. - Strong people leadership: hiring well, coaching engineers, creating accountability, and building a healthy, high-performing team culture. - Clear communication and calm execution during incidents, escalations, and high-stakes customer-impacting situations. - A systems mindset, bias for simplicity, and the ability to raise standards while keeping teams moving fast. NICE TO HAVE - Experience with AI/ML infrastructure, high-throughput inference systems, or model platform reliability. - Experience operating multi-tenant, security-sensitive platforms for enterprise or regulated customers. - Familiarity with Azure at scale; GCP or AWS experience also transfers well. - Experience supporting global, follow-the-sun operations or building teams across regions. ADDITIONAL INFORMATION - Work eligibility: Must be authorized to work in India. Visa sponsorship is not available for this role. PLEASE FIND THE APPLICANT PRIVACY FOR THIS REGION HERE https://www.harvey.ai/legal/india-applicant-privacy-notice. #LI-AS2 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