Location: Ukraine; Czech Republic; Bulgaria; Latvia; Hungary; Lithuania; Bosnia & Herzegovina; Estonia; Serbia; Poland; Khazakstan; Armenia; Türkiye; Romania; Slovakia
Workplace: Remote
Location: Fully Remote (CET)
Start Date: ASAP
Language: Fluent English required
Type: Full-time (Contractor) – 3-month contract to start, with the opportunity to extend
ABOUT THE OPPORTUNITY
Pragmatike is recruiting on behalf of a fast-growing AI consumer technology company seeking a Content Writer to strengthen its content strategy and communicate the value of its products to a global audience.
You'll create engaging content across blogs, website pages, SEO-driven landing pages, product updates, and customer stories. Working closely with marketing, product, and SEO teams, you'll help shape the company's editorial direction while ensuring content is both discoverable and genuinely valuable to readers.
This role is ideal for a strong writer who combines excellent storytelling skills with hands-on SEO experience and can independently take content from idea to publication.
WHAT YOU'LL DO
- Write engaging, high-quality blog articles and editorial content on a consistent publishing schedule.
- Create, optimize, and refresh SEO-driven website pages, landing pages, and feature descriptions.
- Collaborate with SEO specialists on keyword research, search intent, content planning, and internal linking.
- Identify and develop customer stories, interviewing users and turning their experiences into compelling content.
- Proactively identify new content opportunities across the product, community, and company.
- Work closely with product and marketing teams to support launches, campaigns, and product updates.
- Write clear and engaging release notes communicating new features and improvements.
- Manage the content calendar and monitor content performance.
- Maintain a consistent brand voice across all written communication.
WHAT WE'RE LOOKING FOR
- Proven experience as a Content Writer, Copywriter, or Content Marketing Specialist.
- Exceptional written English and a portfolio demonstrating strong storytelling and writing skills.
- Experience producing content for consumer-facing products, including blogs, landing pages, and website copy.
- Hands-on SEO experience, including keyword research, search intent, and on-page optimization.
- Familiarity with SEO tools such as Google Search Console, Ahrefs, or Semrush.
- Ability to conduct interviews and translate conversations into engaging, authentic stories.
- Strong organizational skills and the ability to manage multiple content projects independently.
- Experience using AI tools in the content creation process while maintaining a natural and original writing style.
- Comfortable working independently in a fast-paced environment.
NICE TO HAVE
- Experience writing about technology, relationships, wellbeing, or consumer applications.
- Understanding of Generative Engine Optimization (GEO) and how content appears in AI-generated answers.
- Familiarity with CMS platforms and content publishing workflows.
- Experience writing product updates, release notes, or customer success stories.
WHY JOIN?
This is an opportunity to shape the content strategy of an innovative AI consumer product used by millions of people worldwide. You'll have direct ownership of your work, the opportunity to develop meaningful stories, and the ability to influence how a global audience discovers and engages with AI-powered experiences.
The company offers flexible working hours, generous vacation policies, a fully remote work environment, and the opportunity to make a meaningful impact on a product reaching millions of users.
Pragmatike is committed to a fair, transparent, and inclusive recruitment process. We do not discriminate based on age, disability, gender, gender identity or expression, marital or civil partner status, pregnancy or maternity, race, religion or belief, sex, or sexual orientation.
In accordance with GDPR, your personal data will be processed lawfully, fairly, and securely, and used solely for recruitment purposes, including sharing it with our client(s) for employment consideration. You may request access, correction, or deletion of your data at any time. We are committed to maintaining the confidentiality and security of your information throughout the recruitment process.
Location: Malaysia, Petaling Jaya
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.
At PlayStation Studios Quality Assurance (QA), we believe that our people are what make us exceptional. We foster a playfully positive culture and are always
seeking
new and diverse faces to help us grow. Join us and be a part of a world-class team that crafts outstanding entertainment experiences.
Quality Assurance is not only
a great way
to enter the gaming industry, but it also offers the potential for growth within the department or even into other positions and roles. As part of PlayStation Studios QA, you will have the chance to support the full library of PlayStation Studios, including Naughty Dog, Insomniac Games, Polyphony Digital, Guerilla Games, and many more. Collaborate with world-class developers and contribute to the next great PlayStation Studios release.
Role Overview
As a QA Manager, you will play a key role in overseeing the delivery of high-quality QA services across multiple PlayStation Studios titles. You will build strong relationships with development studios and internal stakeholders, ensuring QA services meet project requirements, agreed service levels and business expectations.
You will be responsible for resource planning, budget oversight and operational efficiency while supporting the performance, development and growth of QA teams. Working closely with QA leadership, Service Owners and Production teams, you will anticipate studio needs, manage delivery risks and drive continuous improvements across QA operations.
This role offers the opportunity to collaborate with world-class development teams and contribute to the successful delivery of PlayStation Studios titles.
Work Ratio & Service Ownership
Manage a portfolio of approximately 2–6 titles, depending on project requirements and operational needs, sometimes with the support of an Assistant Manager (AM).
QA Managers who also undertake Service Owner responsibilities may have a reduced title commitment to accommodate their additional responsibilities.
Responsibilities
QA Service Delivery:
Oversee the delivery of high-quality QA testing services across assigned PlayStation Studios titles, ensuring alignment with project requirements, timelines and agreed service levels.
Studio Relationship Management:
Build and maintain strong relationships with PlayStation Studios development teams and internal stakeholders, understanding their testing needs, expectations and operational priorities.
Service Engagement & Planning:
Develop and execute service engagement strategies for assigned studios and partners, coordinating testing requirements, schedules, communication and service improvements.
Resource & Budget Management:
Collaborate with QA leadership and Production teams to develop resource plans, oversee budgets, monitor operational requirements and ensure effective allocation of testing resources.
Operational Efficiency:
Identify opportunities to improve testing efficiency, resource utilisation and service delivery processes, implementing improvements that support departmental and studio objectives.
People Leadership & Development:
Lead, coach and mentor QA team members, supporting performance management, regular feedback, career development and succession planning.
Service Level Management:
Manage Service Level Agreements (SLAs) and Operational Level Agreements (OLAs), monitoring service performance and addressing delivery risks or concerns.
Stakeholder Communication & Reporting:
Facilitate regular studio engagement meetings, providing clear updates on testing progress, risks, budgets, schedules, resource requirements and operational performance.
Risk & Escalation Management:
Act as a key escalation point for assigned studios throughout the Software Development Lifecycle (SDLC), proactively identifying and addressing testing challenges before and after launch.
Continuous Improvement & Collaboration:
Partner with QA leadership, Service Owners and cross-functional teams to improve QA methodologies, promote knowledge sharing and support future service capabilities, tools and technologies.
Skills & Qualifications
Essential Requirements
3+ years of experience in a management role, demonstrating proven leadership capabilities, team management and people development.
Strong understanding of QA testing methodologies, frameworks, processes and Software Development Lifecycle (SDLC) practices.
Experience managing QA service delivery, including testing operations, project requirements and stakeholder expectations.
Proven experience in resource planning, budget oversight and operational performance management.
Demonstrated ability to lead, coach and develop teams, including performance management and staff development.
Strong stakeholder relationship management skills, with the ability to collaborate effectively with development teams, leadership and cross-functional partners.
Experience identifying operational challenges, managing delivery risks and driving process improvements.
Excellent communication, organisational and problem-solving skills, with the ability to manage competing priorities across multiple projects.
Experience working within the interactive media, gaming or video game development industry.
Preferred Qualifications
Experience working with global or cross-cultural teams in a matrix organisational structure.
Familiarity with Testing as a Service (TaaS), IT service management or service delivery operations.
Knowledge of ITIL best practices and continuous service improvement principles.
Relevant professional certifications such as PMP, PRINCE2, ITIL, ISTQB or Lean Six Sigma.
Experience developing training programmes, succession plans and team capability-building initiatives.
A bachelor's degree in a relevant discipline or equivalent professional experience.
Training
Relevant training or professional development in the following areas would be advantageous:
ISTQB or other industry-standard testing qualifications.
Project management certification (PRINCE2, PMP).
Continuous Service Improvement certification (such as Lean Six Sigma, ITIL).
Insights and team-building training.
Staff development training.
Recruitment and interviewing techniques for team leaders and managers.
Why Join Us?
At PlayStation Studios Malaysia, we believe in encouraging a diverse and inclusive work environment. We are committed to providing our employees with opportunities for professional growth and development. By joining our team, you will have the chance to work on exciting projects, collaborate with dedicated professionals, and contribute to delivering world-class gaming experiences.
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: 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.
At PlayStation, we're passionate about both partnership and technology. We care about building performant products and powerful tools, solving practical problems in delightful ways. We love building the systems that millions of people use, and we're always our own first customers and critics. We strive to be at the forefront of development technologies and celebrate our diversity with engineering teams located on four continents from all walks of life. We build our teams to be places where every voice is heard, all input is valued, and our members have the creative freedom to make their ideas real.
Sr Software Development Engineer in Test
, ML
Locations: Madison, WI and Waterloo, Ontario Canada
P
layStation is seeking a
Sr Software Development Engineer in Test, ML
to join our Madison team and lead quality efforts for machine learning-powered products and services. You will partner closely with ML engineers, software engineers, product managers, and data partners to build scalable test automation and validation approaches for systems serving PlayStation at global scale. This role is focused on building confidence in model reliability, production readiness, and behavioral consistency. Unlike traditional software backend testing, success here requires validating probabilistic systems through score distributions, cohort-level behavior, thresholds, and statistical signals, not just deterministic pass/fail assertions.
Responsibilities:
Drive architecture-level automation solutions and scalable quality engineering practices across multiple teams and product areas.
Design, develop, and maintain automated test frameworks, test scripts for ML inference services and related ML platform components using python/Java
Build and automate realistic, representative test account creations and datasets to evaluate model behavior across different scenarios
Validate score distributions, ranking behavior, output quality, and other model signals for incoming ML models prior to release
Perform different types of testing, including functional, integration, regression and API testing working with RESTful APIs, microservices and databases, and non-functional performance and load testing to verify inference service scalability, latency requirements and reliability under production like conditions
Work closely with ML engineers and ops teams to ensure that all features and bug fixes come with automated test coverage, ensuring continuous integration and deployment
Debug and analyze test failures, model anomalies and report defects
Drive high standards of quality for both engineering decisions and customer-facing features with optimal test and automation strategy
Develop and implement best practices for test automation that is highly scalable and maintainable
Monitor test execution and optimize performance in test environments
Come up with innovative solutions to organizational problems
Required Qualifications:
A Bachelor's degree in Computer Science or related field
Minimum 5 years of experience as an SDET, with strong experience testing backend systems.
Proficiency in Python/Java/Scala/go for test automation.
Hands-on experience with API testing tools (e.g., Postman or similar) for distributed systems
Familiarity with CI/CD pipelines and test execution in Jenkins or similar environments such as jenkins, GitHub Actions, ArgoCD, etc
Hands-on experience building and maintaining automated test frameworks (e.g., pytest, JUnit, TestNG, etc.)Experience in working with databases for backend validation.
Experience with cloud and container technologies (AWS, GCP, Kubernetes, Docker, etc.)
Familiarity with monitoring and observability tools (e.g., Prometheus, Grafana, Datadog, etc.) for validating service health
Strong understanding of software development lifecycle (SDLC) and agile methodologies.
Excellent problem-solving skills and excellent communication skills.
Preferred Qualifications:
Experience testing machine learning systems, such as recommendation systems, search ranking systems, or other probabilistic ML application systems.
Experience creating synthetic or seeded test data to simulate realistic customer/account behaviors.
Experience evaluating model outputs using statistical techniques, distribution analysis, or scenario-based validation, rather than deterministic assertions.
Knowledge of data pipelines, feature stores, inference systems or model-serving infrastructure (Seldon, KServe, Ray Serve, etc.) is a plus.
Experience with performance and load testing tools
Experience with Databricks or similar ML platform tooling
Experience architecting and optimizing CI/CD pipelines, quality gates, and release validation systems using Jenkins or similar platforms.
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.
The estimated Ontario base pay range for this role is listed below.
$114,000
—
$143,000 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: United States, Madison, WI
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.
At PlayStation, we're passionate about both partnership and technology. We care about building performant products and powerful tools, solving practical problems in delightful ways. We love building the systems that millions of people use, and we're always our own first customers and critics. We strive to be at the forefront of development technologies and celebrate our diversity with engineering teams located on four continents from all walks of life. We build our teams to be places where every voice is heard, all input is valued, and our members have the creative freedom to make their ideas real.
Sr Software Development Engineer in Test
, ML
Locations: Madison, WI and Waterloo, Ontario Canada
P
layStation is seeking a
Sr Software Development Engineer in Test, ML
to join our Madison team and lead quality efforts for machine learning-powered products and services. You will partner closely with ML engineers, software engineers, product managers, and data partners to build scalable test automation and validation approaches for systems serving PlayStation at global scale. This role is focused on building confidence in model reliability, production readiness, and behavioral consistency. Unlike traditional software backend testing, success here requires validating probabilistic systems through score distributions, cohort-level behavior, thresholds, and statistical signals, not just deterministic pass/fail assertions.
Responsibilities:
Drive architecture-level automation solutions and scalable quality engineering practices across multiple teams and product areas.
Design, develop, and maintain automated test frameworks, test scripts for ML inference services and related ML platform components using python/Java
Build and automate realistic, representative test account creations and datasets to evaluate model behavior across different scenarios
Validate score distributions, ranking behavior, output quality, and other model signals for incoming ML models prior to release
Perform different types of testing, including functional, integration, regression and API testing working with RESTful APIs, microservices and databases, and non-functional performance and load testing to verify inference service scalability, latency requirements and reliability under production like conditions
Work closely with ML engineers and ops teams to ensure that all features and bug fixes come with automated test coverage, ensuring continuous integration and deployment
Debug and analyze test failures, model anomalies and report defects
Drive high standards of quality for both engineering decisions and customer-facing features with optimal test and automation strategy
Develop and implement best practices for test automation that is highly scalable and maintainable
Monitor test execution and optimize performance in test environments
Come up with innovative solutions to organizational problems
Required Qualifications:
A Bachelor's degree in Computer Science or related field
Minimum 5 years of experience as an SDET, with strong experience testing backend systems.
Proficiency in Python/Java/Scala/go for test automation.
Hands-on experience with API testing tools (e.g., Postman or similar) for distributed systems
Familiarity with CI/CD pipelines and test execution in Jenkins or similar environments such as jenkins, GitHub Actions, ArgoCD, etc
Hands-on experience building and maintaining automated test frameworks (e.g., pytest, JUnit, TestNG, etc.)Experience in working with databases for backend validation.
Experience with cloud and container technologies (AWS, GCP, Kubernetes, Docker, etc.)
Familiarity with monitoring and observability tools (e.g., Prometheus, Grafana, Datadog, etc.) for validating service health
Strong understanding of software development lifecycle (SDLC) and agile methodologies.
Excellent problem-solving skills and excellent communication skills.
Preferred Qualifications:
Experience testing machine learning systems, such as recommendation systems, search ranking systems, or other probabilistic ML application systems.
Experience creating synthetic or seeded test data to simulate realistic customer/account behaviors.
Experience evaluating model outputs using statistical techniques, distribution analysis, or scenario-based validation, rather than deterministic assertions.
Knowledge of data pipelines, feature stores, inference systems or model-serving infrastructure (Seldon, KServe, Ray Serve, etc.) is a plus.
Experience with performance and load testing tools
Experience with Databricks or similar ML platform tooling
Experience architecting and optimizing CI/CD pipelines, quality gates, and release validation systems using Jenkins or similar platforms.
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.
$152,000
—
$190,000 USD
Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks.
Please refer to our Candidate Privacy Notice (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: Hong Kong
Nex is on a mission to help families rediscover the joy of movement. Created by parents for parents, Nex combines technology and play to deliver fun, social, and interactive experiences powered by natural body motion, encouraging kids and adults to move more, play more, and have fun together. Nex Playground, the company’s award-winning active play system, is purpose-built to get families moving year-round, with safety and privacy as core considerations in its intentional design. It is certified kidSAFE+ COPPA compliant and built to support healthy, active play for all ages and abilities.
Nex Playground features a growing library of 50+ experiences, including motion and dance games, fitness and educational experiences, and Nex Originals. Content includes collaborations with partners like Hasbro, Sesame Workshop, and NBCUniversal. Nex has been recognized by Fast Company’s Most Innovative Companies, TIME’s Best Inventions, and Parents’ Best Entertainment System for Families, and has earned Red Dot, IDEA, and Core77 international design awards. We encourage you to explore
Have Fun
and
Is Motion Gaming Back?
, as they offer a deeper look into our culture, values, and explain how our approach to motion gaming differs from previous generations.
Nex employees may be expected to collaborate with colleagues across different time zones. Depending on the role and location, occasional travel may also be required for company events, external meetings, and other business-related activities.
Important Notice:
⚠️ To protect yourself from recruitment scams, please note that Nex communicates through official company emails ending in
@nex.inc
. If you receive a suspicious email or message, please do not respond and report it immediately to us.
Location: Hong Kong
The Role
As a Lead Software Engineer in Test (SDET) at Nex, you will build the test engineering capability within Platform Software Engineering that helps us ship reliable Nex Playground experiences.
You will define and implement an automated test strategy spanning device software, cloud services, and hardware-integrated systems. From functional and regression testing to sustained device stress and cloud-scale load, you will design and build the tools, practices, and feedback loops that help engineers find problems early and release with confidence. You will lead through technical judgment, hands-on execution, and collaboration, and drive practical AI adoption in your work.
Success Looks Like
Teams can rely on fast, maintainable automated tests to detect meaningful regressions throughout development and release.
Device software, hardware-integrated systems, and cloud services are tested under realistic conditions, including sustained stress and load at scale.
Engineers can see test coverage, reliability trends, and release risks clearly, and use that information to improve products and test effectiveness.
Test tools and methods continuously improve, and platform engineers can design and build more testable systems.
What You'll Do
Test strategy and technical leadership
Own and evolve the automated test strategy for Platform Software Engineering. Prioritize coverage based on product risk and drive a high level of meaningful automated test coverage.
Define test approaches, quality criteria, and release feedback with platform engineers working on device software and cloud services.
Review and improve vendors’ test strategies and coverage, identify gaps, and work with vendors to address them.
Research, evaluate, and develop new testing techniques and tools that improve coverage, speed, and confidence.
Drive responsible, practical AI adoption in test design, automation, analysis, and engineering workflows, while maintaining human judgment and verification.
Automation and test infrastructure
Develop and operationalize functional, stress, and regression testing for software and hardware products, using both software-based and hardware-integrated techniques.
Develop and operationalize cloud service load testing using synthetic workloads and data at scale; identify bottlenecks, failure modes, and regressions.
Design, build, and evolve reusable test frameworks, harnesses, fixtures, and infrastructure that support reliable, repeatable testing across system boundaries.
Keep automated testing integral to CI/CD, with actionable feedback that engineers can use throughout development and release.
Improve product testability through better instrumentation, API design, separation of concerns, and effective use of mock objects and test data.
Define and track metrics, reports, and dashboards that show test coverage, effectiveness, reliability, and trends over time.
Engineering collaboration
Partner with platform engineers to embed quality and testability into design and delivery rather than treating testing as a final gate.
Work with platform engineers to investigate failures, identify root causes, and turn findings into product and test improvements.
Raise the engineering bar through design reviews, technical guidance, mentoring, and sharing test practices, tools, and findings with platform engineers.
Must Have
Experience setting technical direction for test engineering across teams and independently delivering work from strategy through implementation and iteration.
Strong hands-on software engineering skills, with experience designing, building, and maintaining automated test frameworks and infrastructure used by engineering teams.
Experience defining and delivering test strategies for complex software systems, including functional, regression, and stress or reliability testing.
Experience testing cloud services under load, including generating representative workloads and data and investigating performance or scalability bottlenecks.
Experience integrating automated tests into CI/CD and improving the reliability, speed, and usefulness of test feedback.
Strong understanding of software design for testability, including instrumentation, APIs, isolation, mocks, and test data.
Experience applying AI tools to engineering and testing workflows, with a thoughtful approach to validation and data security.
Nice to Have
Experience testing connected consumer devices or systems that combine device software, firmware, hardware, and cloud services.
Experience with hardware-in-the-loop testing, automated test fixtures, or validation of cameras, sensors, or other hardware modules.
Familiarity with Android/AOSP, embedded systems, or device-level debugging.
Experience with soak, endurance, fault-injection, or other reliability testing techniques.
Experience building products for children and families.
We Offer
Competitive compensation package.
Flexible working hours and vacation policy.
Product-driven culture that treasures talents and individual growth.
Front-row seat and hands-on experience with cutting edge technologies in the evolving gaming field
Nex is located in
San Jose, California, USA
and
Hong Kong
. Learn more about us at
https://www.nexplayground.com/about
.
We encourage applications even if you don’t meet more than 50% of the requirements — we believe that experience comes in many forms!
Nex is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex (including pregnancy, childbirth, gender identity, and sexual orientation), national origin, ancestry, age, physical or mental disability, medical condition, genetic information, marital status, military or veteran status, or any other characteristic protected by applicable law. This policy applies to all individuals at every stage of the employment relationship, including all current and prospective employees, and covers all employment decisions including recruitment, hiring, job assignment, promotion, compensation, benefits, training, discipline and termination.
We are committed to providing a workplace free from discrimination and harassment and to fostering an inclusive environment for all employees.
Location: Bengaluru, India
We are looking for a Senior Performance Engineer with solid experience across performance testing and strong JMeter scripting skills. You will define performance requirements with product owners and developers, validate environment readiness, run load, stress, spike, and soak tests, find root causes through full-stack observability, and give engineering teams and leadership evidence for release decisions.
You will also own the performance framework and its CI/CD pipelines, build dashboards in CloudWatch and Grafana, run chaos and fault-injection tests on AWS and Azure, and test front-end performance alongside server-side performance.
This position is intended for Hyderabad-based candidates who are available to work from the office.
The client operates a scaled Quality Engineering function across a broad technology landscape running primarily on AWS, with Azure as the secondary cloud. Most applications run on containers. Performance engineering covers load, stress, spike, and soak testing, full-stack observability, root cause analysis, and chaos and resiliency testing for distributed systems.
Performance engineers own performance testing delivery across multiple applications, from requirements and environment readiness through execution, root cause analysis, and release-readiness reporting.
Own performance testing delivery across multiple applications, from requirements through execution, analysis, and reporting.
Define performance requirements with product owners and developers, and validate environment readiness before each test cycle.
Build and maintain JMeter scripts, workload models, and test data in GitHub.
Own the performance test framework and its CI/CD pipelines on GitHub Actions or an equivalent tool, with defined thresholds.
Run load, stress, spike, and soak tests, including autoscaling, caching, load balancing, and failover on containerized workloads.
Test front-end performance alongside server-side performance.
Build dashboards in CloudWatch and Grafana covering RUM, APM, infrastructure, logs, and traces, using Prometheus or OpenTelemetry data.
Correlate New Relic and Google Analytics data with test runs, and validate golden signals, SLIs, and SLOs.
Use observability data to pinpoint bottlenecks across application, API, database, network, and container layers.
Recommend tuning and scaling changes and validate them with repeat tests.
Run chaos and fault-injection tests on AWS and Azure using native tooling.
Contribute reusable scripts, dashboards, and runbooks that explain each application's resiliency setup.
Track performance defects to closure in Jira, coordinating with developers and product teams on priority and impact.
Deliver test summary reports in Confluence with release-readiness evidence for engineering teams and leadership.
Use AWS (primary) and Azure for deployment, secrets, database services, and performance test infrastructure.
Senior-level performance engineering experience across multiple applications.
Strong JMeter scripting and workload modelling experience, with scripts and test data maintained in GitHub.
Hands-on experience with load, stress, spike, and soak testing.
Experience with CI/CD integration of performance tests using GitHub Actions or equivalent tools.
Experience validating autoscaling, caching, load balancing, and failover on containerized workloads.
Experience with an APM or observability platform such as CloudWatch, Grafana, New Relic, or similar.
Experience validating golden signals, SLIs, and SLOs.
Strong root cause analysis and tuning skills across application, API, database, network, and container layers.
Experience with front-end performance testing alongside server-side testing.
Experience with chaos and fault-injection testing.
Working knowledge of AWS and Azure.
Working knowledge of Docker and Kubernetes.
Working knowledge of distributed systems and resiliency patterns.
Experience with defect tracking and reporting in Jira and Confluence.
Ability to present findings to engineering and business stakeholders.
Experience working in Agile teams.
Experience working in DevOps environments.
Ability to communicate clearly with developers, product, and delivery teams.
Hands-on use of AI coding assistants (GitHub Copilot, Claude Code, Cursor, Codex, or equivalent) to write and generate load test scripts.
Familiarity with GenAI, LLMs, and agentic workflows for maintaining performance scripts.
Familiarity with RAG and MCP concepts for QE tooling and for generating test data for load scenarios.
Experience with service virtualization using WireMock or an equivalent tool, so performance suites can run when a dependency is unavailable.
Experience with Tableau or an equivalent reporting tool.
Experience with Azure Monitor.
Location: Montevideo, Uruguay; Remote.AR, Remote.LATAM-country; Remote.BR, Brazil; Remote.CO, Colombia; Rosario, Remote.LATAM-country
We are looking for a QA Engineer to join a team supporting an AI platform/product team. This role requires a more technical profile than a traditional QA position, with a strong focus on backend systems, API testing, and close collaboration with engineering teams.
The ideal candidate has solid quality assurance experience, strong technical capabilities, and preferably a background in software development or SDET practices. This individual will help ensure the quality, reliability, and performance of AI platform services within a rapidly evolving AI environment.
Beyond technical expertise, this person is an effective communicator who works well with developers and cross-functional teams, asks for support when needed, adapts quickly to change, and takes initiative to solve problems and improve processes. They thrive in collaborative environments and are motivated to contribute to the success of innovative AI-powered products.
Design, develop, and maintain automated test suites using TypeScript and Playwright
Create and execute functional, regression, smoke, and end-to-end tests
Collaborate with developers and product teams to define test scenarios and acceptance criteria
Identify, document, and track defects with clear reproduction steps
Maintain and improve test frameworks, test data, and automation best practices
Contribute to CI/CD integration for automated test execution
Support release validation and quality assurance activities
Review application changes and assess test impact
Work closely with the team to improve test coverage, reliability, and execution efficiency
Strong hands-on experience in QA Automation with TypeScript and Playwright.
Experience designing and maintaining automated end-to-end and regression test suites.
Solid understanding of software testing principles, QA processes, and defect management.
Experience working with web applications, APIs, and modern frontend technologies.
Ability to collaborate with developers, product owners, and other team members in an Agile environment.
Experience with test framework maintenance, test data management, and CI/CD integration.
Strong analytical and problem-solving skills with attention to detail.
Good communication skills and ability to document test results and issues clearly.
Experience with API testing tools or frameworks
Experience with CI/CD tools such as GitHub Actions, Jenkins, or GitLab CI
Familiarity with performance or accessibility testing
Experience in data, analytics, or BI-related products
Experience with test reporting tools and quality dashboards
Location: Portugal; Georgia; Poland; Vietnam; Cyprus; Montenegro
Lead cross-team projects end to end, from planning to launch and post-launch evaluation.
Align dependencies, priorities and timelines across product, engineering and business teams.
Build project plans, track progress and keep stakeholders informed.
Identify risks and blockers early; resolve or escalate them as needed.
Coordinate launches with business teams to ensure smooth releases for clients.
Run kickoffs, syncs, status updates, announcements and retrospectives.
Improve delivery processes and mentor less experienced project and delivery managers.
Requirements
5+ years in project or delivery management at product IT companies, including 2+ years leading projects involving three or more teams.
A track record of delivering complex, multi-month projects with significant technical dependencies.
Experience with B2B or B2B2C products used by business clients in their daily operations.
A solid understanding of the software development lifecycle, from discovery and system analysis through technical design, development, testing and release.
Strong stakeholder management skills and the ability to influence without formal authority.
Experience managing risks, dependencies and escalations.
Confidence using YouTrack, Jira or similar tools, as well as Confluence.
Clear, structured written communication, including status reports, project documentation and decision logs.
English at B2+ level; project communication takes place in English.
Benefits
A fully flexible work schedule — there’s no pressure to start work at exactly 9:00 AM; what matters is achieving results and moving forward;
Each person in our team is encouraged to choose their preferred work format. You can work fully remotely, come to the office, or choose a hybrid work model;
We are an ambitious and supportive team who love what they do, appreciate each other, and grow together;
The growth and development of each employee is our priority, so we have internal programs available for adaptation and training, development of soft skills and leadership abilities that are tailored individually to each employee;
We also provide partial compensation for employees participating in external training and conferences;
In tourism, it's difficult to grow without an excellent knowledge of English, and we support our employees' language learning goals — we organize group and individual lessons, plus speaking clubs with colleagues from all over the world;
And, of course, to encourage you to travel more, we offer corporate prices on hotels and other travel services;
We prioritize well-being and are committed to supporting the overall health and work-life balance at ETG. As part of this commitment, we provide MyTime Day Off - an extra day off that is designed to give our employees the flexibility to focus on important matters, whether it’s taking care of their health, mental recharge, addressing personal issues, or any other important activities.
Learn more about our data protection practices in our Privacy Policy:
https://www.emergingtravel.com/career/hr-policy/
Location: Dubai, United Arab Emirates; Riyadh, Saudi Arabia; Amman, Jordan; Bucharest, Romania; Delhi, India
Summary
We are looking for a Senior ServiceNow SecOps QA Consultant to ensure the quality of ServiceNow Security Operations implementations. You will plan and run functional, integration and regression testing across SecOps modules and integrations, and build test automation using the ServiceNow Automated Test Framework (ATF).
⚠️ Must Have:
Hands-on QA/testing experience on ServiceNow, including SecOps modules (SIR and/or VR). Onsite in Dubai.
Responsibilities
Create test strategies, test plans and test cases for ServiceNow SecOps implementations.
Run functional, integration, regression, and user acceptance testing across SIR, VR and related modules.
Test integrations between ServiceNow and security tools (SIEM, vulnerability scanners, EDR), including data flows and automated actions.
Build and maintain automated tests using the ServiceNow Automated Test Framework (ATF).
Validate security workflows, playbooks, SLAs, assignment rules, notifications and access controls (roles, ACLs).
Log, track and manage defects, and work with developers to resolve them.
Perform regression testing for ServiceNow upgrades, patches and releases.
Support UAT with business and security teams and prepare test reports.
Ensure test coverage of requirements and maintain testing documentation.
Improve QA processes and best practices across the project.
Requirements
6+ years of QA/testing experience, including significant experience testing ServiceNow.
Must:
Hands-on testing experience on ServiceNow SecOps modules (SIR and/or VR).
Strong experience with the ServiceNow Automated Test Framework (ATF).
Experience testing integrations (REST/SOAP APIs), ideally with security tools.
Good understanding of security operations processes: incident response and vulnerability management.
Experience with test and defect management tools (Jira, ServiceNow Test Management, Azure DevOps).
Experience working in Agile environments.
Bachelor’s degree in IT, Computer Science or a related field.
Nice to Have
ServiceNow certifications: CSA, CIS – Security Incident Response, CIS – Vulnerability Response.
Testing certifications (ISTQB Foundation or Advanced).
Experience with other automation tools (Selenium, Tricentis Tosca, Postman).
Experience in banking, government or other regulated sectors in the UAE/GCC.
seniorDubai, United Arab Emirates; Riyadh, Saudi Arabia; Amman, Jordan; Bucharest, Romania; Delhi, India
Location: Oakland, California, United States
About the Job:
LaunchDarkly is hiring a Chief of Staff to report to the CEO and partner with the Executive Leadership Team (ELT) as the company continues to scale. This is a senior, individual contributor role for a strategic operator and trusted advisor who thrives at the intersection of strategy, execution, communication, and data.
As Chief of Staff, you’ll help translate company strategy into action, shape executive-level planning and decision-making, and ensure leadership discussions are grounded in clear insights and high-quality materials. You’ll operate with significant autonomy, exercise wide latitude in how work gets done, and act as a thought partner to senior leaders across the organization.
This role is ideal for someone with deep experience navigating complex, cross-functional environments and a strong executive presence who is excited to have broad influence without people management responsibilities.
Responsibilities:
Strategic Leadership & Cross-Functional Execution
Partner with the CEO to drive company-wide strategic initiatives from conception through execution. Help align the Executive Leadership Team and broader organization around priorities, tradeoffs, and outcomes. Proactively identify risks, dependencies, and gaps across critical initiatives and surface insights to leadership. Act as connective tissue across executives and teams to ensure strategy translates into coordinated action.
Operating Cadence & Company Planning
Shape and support LaunchDarkly’s operating rhythm, including owning OKRs and leadership planning processes.
Design and evolve planning frameworks that enable effective executive decision-making.
Support annual and long-range planning cycles, synthesizing inputs and highlighting strategic implications.
Executive & Company Communications
Lead the preparation and refinement of executive-level materials, including Board meeting materials and ELT presentations. Ensure executive content is clear, concise, decision-oriented, and aligned with company strategy.
Data, Insights & Analysis
Partner on executive dashboards and reporting, ensuring metrics are accurate, consistent, and actionable.
Analyze and understand data to inform strategic decisions and evaluate proposed initiatives.
Translate analysis into clear recommendations for senior leadership audiences.
Executive Meetings & Offsites
Design agendas and content for executive meetings and off-sites with a focus on alignment and outcomes.
Capture key decisions, clarify next steps, and support follow-through across the organization.
Qualifications:
Typically requires a minimum of 15 years of related experience, preferably in senior-level roles involving strategy, operations, consulting, finance, product operations, or executive advisory work.
Demonstrated success partnering closely with executive leaders and influencing at the highest levels of an organization.
Exceptional written and verbal communication skills, with the ability to distill complexity into clear, compelling narratives.
Strong analytical capabilities and comfort working with SaaS metrics and executive-level data.
Ability to manage multiple, high-impact workstreams with sound judgment and prioritization.
High degree of discretion, integrity, and emotional intelligence.
Pay:
Target pay ranges based on Geographic Zones* for Level 6:
Zone 1:
San Francisco/Bay Area or NYC Metropolitan Area, Boston, Seattle
-
$
240,600 - $330,700
**
Zone 2:
Irvine, LA, Monterey, Santa Barbara, Santa Rosa, Austin, Portland, Philadelphia, Chicago - $
216,500 - $297,600
**
Zone 3:
All other US locations - $
204,500 - 281,100
**
All Zones Inclusive of 10% Bonus Target
LaunchDarkly operates from a place of high trust and transparency; we are happy to state the pay range for our open roles to best align with your needs. Exact compensation may vary based on skills, experience, and location.
*Within the United States, our geographic pay zones are defined by counties surrounding major metropolitan areas.
**Restricted Stock Units (RSUs), health, vision, and dental insurance, and mental health benefits in addition to salary.
About LaunchDarkly:
Modern software delivery was supposed to be the foundation for a thriving digital business but reality has proven otherwise. Slow, inefficient development cycles, costly outages, and fragmented customer experiences are preventing developers from building their best software. The LaunchDarkly platform helps developers innovate on new features faster while protecting them with a safety valve to instantly rewind when things go wrong. Developers can target product experiences to any customer segment and maximize the business impact of every feature. And by gradually rolling out new application components, they escape nightmare "big-bang" technology migrations.
The LaunchDarkly platform was built to guide engineers to the next frontier of DevOps by:
Improving the velocity and stability of software releases, without the fear of end customer outages
Delivering targeted experiences by easily personalizing features to customer cohorts
Maximizing the business impact of every feature through the ability to experiment and optimize
Coordinating the release and optimization of software to provide consistent experiences across mobile platforms and device types
Improving the effectiveness and productivity of engineering teams, by providing insights into engineering cadence and stability
At LaunchDarkly, we believe in the power of teams. We're building a team that is humble, open, collaborative, respectful and kind. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability status. LD invites any applicant to review our written Affirmative Action Plan. To do so, contact People Ops at
hr@launchdarkly.com
.
Do you need a disability accommodation?
Fill out this
accommodations request form
and someone from our People Operations team will contact you for assistance.
Your safety matters to us.
To protect yourself from potential scams, LaunchDarkly recruiters will only contact you from
@LaunchDarkly
.com email addresses or via LinkedIn from "Verified Recruiter" accounts.
Be cautious of emails from other domains. Legitimate LaunchDarkly recruiters will never ask for money, fees, or banking information before making a job offer. LaunchDarkly will never make a job offer without conducting a formal interview process. Our interview process does not involve asking detailed questions by email. If you are ever unsure about a communication that you receive, don't click any links—visit
Careers | LaunchDarkly
directly for confirmed job openings and links to apply.
Please notify us of any fraudulent representation by sending an email to
careers@launchdarkly.com
.
Location: United States, San Mateo, CA
Why Sony Interactive Entertainment?
Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity.
How would you like to influence the most successful gaming platform of all time by validating the very technology our developers use to build extraordinary games?
Role Summary:
Sony Interactive Entertainment (PlayStation) is seeking a Software Development Engineer in Test (SDET) to provide hands-on engineering excellence across our SDK ecosystem. This role focuses on building tools and infrastructure for analyzing the quality of the PlayStation SDK and related technology. While this is the primary domain, there are opportunities to expand into 3D graphics, spatial audio, artificial intelligence, and the fully integrated PlayStation game development environment.
We are looking for someone who wants to directly impact PlayStation technology by developing tools and automated systems that deeply analyze SDK components and platform capabilities. You will help strengthen and evolve our testing infrastructure, raise the technical bar for quality engineering, and drive confidence in every release. If you’re passionate about solving complex system-level challenges and influencing technology used by people around the world, we want to hear from you, come help us power the future of PlayStation!
What You'll Be Doing:
- Crafting and improving automated test cases, sample applications, testing tools and frameworks for SDK libraries and low level software (C++)
- Build and improve test infrastructure using Python and Groovy to simplify building, testing, and demonstrating PlayStation® sample applications.
- Monitor test infrastructure, analyze automation failures, improve reliability, and optimize runtime performance.
- Partner closely with software production and offshore teams to compose robust test plans, validation strategies, and documentation.
- Define scalable, maintainable automation and infrastructure patterns that support long-term platform growth.
- Contribute to architectural discussions for test systems spanning C++, embedded firmware (C), and Python-based infrastructure.
- Identify technical risks early and drive mitigation strategies to protect release confidence.
What We're Looking For:
- Excellent interpersonal skills, including presenting technical direction to both engineers and executives.
- Strong programming proficiency in Python & C++, as well as PyTest and GTest frameworks.
- Self-directed, committed to producing strong results, and passionate about high-quality automation.
- Experience building, running, and debugging software in both Windows & Linux environments.
- Deep understanding of automation trade-offs and architectural design decisions.
Nice-to-Have:
- Exposure to Android platform, including SDK, tooling and architecture
- Prior experience with PlayStation SDK development is helpful.
- Familiarity with Unity, Unreal Engine or other game engine technology.
- Containerization technology such as Docker and Kubernetes.
- Proven experience leading complex debugging efforts.
At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location.
Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location.
In addition, this role is eligible for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more.
Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks.
Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights.
Equal Opportunity Statement:
Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category.
We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond.
Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.
Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks.
Please refer to our Candidate Privacy Notice (where applicable) for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights.
Equal Opportunity Statement:
Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category.
We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond.
Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.
Location: London, England, United Kingdom
About the Job:
We are looking for an experienced Executive Assistant to support the VP EMEA Sales at LaunchDarkly. You will bring structure, judgement and pace to a demanding leadership agenda, helping the VP focus on customers, the sales organisation and the priorities that move the EMEA business forward.
Executive support is the core of this role, representing approximately 80% of the remit. The remaining 20% focuses on the smooth running of the London office. You will anticipate needs, make sound decisions within agreed boundaries and keep commitments moving across countries, time zones and changing priorities.
Responsibilities:
Executive support (~80%)
Calendar and priorities
Own a complex, fast-changing diary across EMEA and global time zones, prioritising customer and partner meetings, leadership commitments, interviews and focus time, and resolving conflicts early.
Prepare the VP for the day and week ahead with schedules, context, briefing materials and advance notice of decisions and deadlines. Escalate competing priorities with practical options.
Sales leadership cadence
Organise weekly leadership meetings, forecast calls, pipeline reviews, QBRs and planning sessions, coordinating agendas, pre-reads and contributions.
Capture decisions and actions, track owners and deadlines, and follow up. Keep the leadership calendar aligned with sales milestones, quarter-end activity and company commitments.
Communications and sensitive matters
Draft and refine correspondence, meeting materials, presentations and team updates for the VP’s review, communicating professionally with senior colleagues, customers, partners and candidates.
Handle confidential commercial and people information (leadership discussions, organisational changes, recruitment) with discretion, keeping careful records and sharing only with appropriate people.
Recruitment, travel and events
Partner with recruiters and hiring managers to schedule interviews across time zones, coordinate candidate communications and keep feedback and decisions moving.
Arrange complex international travel (itineraries, transport, accommodation, meeting logistics), manage changes, and coordinate expenses and documentation.
Deliver logistics for sales leadership offsites, regional team meetings and executive customer visits, including venues, suppliers, communications, materials and agreed budgets.
London office management (~20%)
Coordinate daily operations (supplies, meeting spaces, deliveries, visitors), keeping the office organised and welcoming.
Liaise with building management, facilities and service providers to resolve issues; coordinate purchases, supplier invoices and spend tracking within agreed approvals.
Support new starters and team gatherings with People, IT and other teams, flagging workplace concerns to the right owners and following through. Balance office needs against the VP’s priorities, raising conflicts early so executive support stays primary.
Qualifications:
5+ years of EA experience, including at least 3 supporting a VP or C-suite executive in a fast-paced business.
Experience managing complex diaries, international travel and competing priorities across countries and time zones.
Strong written and verbal communication, with the ability to draft clear executive correspondence and work confidently with senior stakeholders.
Excellent judgement, discretion and reliability with confidential people and commercial matters.
A proactive, highly organised, detail-oriented approach: you anticipate needs and follow through without repeated prompting.
Confidence coordinating recruitment, leadership meetings and events, staying calm and adaptable when plans change.
Proficiency with calendar, email, presentation, document and collaboration tools, and quick to learn new systems.
Preferred experience:
SaaS or technology experience, ideally supporting a regional sales leader or other senior commercial executive.
Familiarity with sales leadership rhythms: forecasting, pipeline reviews, QBRs and quarter-end demands.
Experience coordinating office operations, suppliers or workplace logistics alongside a substantial executive support remit.
About LaunchDarkly:
Modern software delivery was supposed to be the foundation for a thriving digital business but reality has proven otherwise. Slow, inefficient development cycles, costly outages, and fragmented customer experiences are preventing developers from building their best software. The LaunchDarkly platform helps developers innovate on new features faster while protecting them with a safety valve to instantly rewind when things go wrong. Developers can target product experiences to any customer segment and maximize the business impact of every feature. And by gradually rolling out new application components, they escape nightmare "big-bang" technology migrations.
The LaunchDarkly platform was built to guide engineers to the next frontier of DevOps by:
Improving the velocity and stability of software releases, without the fear of end customer outages
Delivering targeted experiences by easily personalizing features to customer cohorts
Maximizing the business impact of every feature through the ability to experiment and optimize
Coordinating the release and optimization of software to provide consistent experiences across mobile platforms and device types
Improving the effectiveness and productivity of engineering teams, by providing insights into engineering cadence and stability
At LaunchDarkly, we believe in the power of teams. We're building a team that is humble, open, collaborative, respectful and kind. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability status.
Do you need a disability accommodation?
Fill out this
accommodations request form
and someone from our People Operations team will contact you for assistance.
Your safety matters to us.
To protect yourself from potential scams, LaunchDarkly recruiters will only contact you from @
launchdarkly.com
email addresses or via LinkedIn from "Verified Recruiter" accounts. Be cautious of emails from other domains. Legitimate LaunchDarkly recruiters will never ask for money, fees, or banking information before making a job offer. LaunchDarkly will never make a job offer without conducting a formal interview process. Our interview process does not involve asking detailed questions by email. If you are ever unsure about a communication that you receive, don't click any links—visit
Careers | LaunchDarkly
directly for confirmed job openings and links to apply.
Please notify us of any fraudulent representation by sending an email to
careers@launchdarkly.com
.
Location: San Francisco, CA | New York City, NY
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Claude Frontier Academy is where organizations nominate their strongest people to build deep, hands-on skills with Claude. Backed by a $100 million commitment, Anthropic aims to train 10,000 Frontier Deployed Engineers by the end of 2027. The Academy’s first program, the Frontier Deployed Engineer (FDE) Residency, brings engineers from leading customers and partners together in cohorts, and more programs will follow. We’re looking for a Marketing Lead to make the Academy a name the market knows and a credential people are proud to earn.
As the Academy’s first dedicated marketer, you’ll own how it shows up in the world. You’re a creative, versatile marketer who thinks in terms of brand and communications and also knows how to position, launch, and grow programs. You’ll turn each program launch into a major market moment, celebrate milestones like new cohorts and the first badges earned, and build a community of graduates who help tell the story.
Because the Academy serves both partners and customers, this role will sit on our Partner Marketing team. You’ll work directly with partners and customers to secure their participation in announcements and bring them into our launch and amplification plans. You’ll help shape the Academy’s strategy and annual plan and represent marketing with senior leaders, while staying hands-on enough to write the first draft yourself. Partners and customers already engage with other Anthropic education and training programs, so you’ll be thoughtful about how the Academy fits alongside them. If you’ve built a branded program at a B2B technology company and want to do it again at a much bigger scale, this role is for you.
Key responsibilities
Own the marketing strategy and annual plan for Claude Frontier Academy and its programs, working with Academy leadership to set priorities and goals
Build and maintain a calendar of market moments for the Academy and each program, including program launches, new cohorts, and badge milestones
Lead launches end to end, from messaging and announcement drafts through legal and executive review, launch-day execution and post-launch amplification
Partner with Communications on press releases and announcements, including sourcing customer and partner quotes and securing approval to use their names
Align early with Partnerships, Communications, and Account Teams on which customers and partners are named in each announcement, who gets a heads-up before it goes live, and how to answer those who aren’t named
Develop amplification plans with partners and customers across social posts, blogs, newsletters, and their own announcements, and turn cohort results into joint customer and partner stories
Grow the Academy’s presence on LinkedIn and other social channels with content that showcases programs, cohorts, and graduates
Own the Academy’s web presence and any paid promotion, working with our web team and with creative and agency partners
Build a community program that keeps cohort members and badge holders connected and turns them into advocates for the Academy
Work with Brand to extend the Academy’s naming and brand architecture as new programs launch, keeping it consistent with, and clearly distinct from, Anthropic’s other education and training offerings
Learn Anthropic’s other education and training programs, such as Claude Academy, Claude certifications, and Partner Basecamp, and work with their teams to define where Claude Frontier Academy fits, where the programs connect, and how they reference each other, so partners and customers see one clear path
Equip Account Teams and Partner Account Managers with FAQs, internal announcements, and guidance so they can answer questions, help customers and partners register their interest, and set clear expectations on participation
Keep senior stakeholders aligned through regular status updates and clear recommendations, and define and report on success metrics for Academy marketing
Minimum qualifications
Have built and run branded B2B marketing programs at a software/SaaS technology company, such as customer education, certification, community, or user conference programs
Have marketed education, training, or certification programs at a technology company, such as a partner, customer, or developer academy
Bring a creative, brand-minded approach and know how to create market moments that get noticed
Have led major launches or announcements, coordinating press, social, and partner amplification, and keeping everyone aligned through legal review, executive edits, and date changes
Know how to build an audience and spark conversation on LinkedIn and other social channels with B2B audiences
Have strong executive presence and are comfortable giving updates and making recommendations to senior leaders
Can operate at both strategic and tactical levels, comfortable owning an annual plan and rolling up your sleeves to ship
Build trusted relationships with partners, customers, and cross-functional teams, and can drive approvals and commitments without formal authority
Are an excellent writer who can move easily between press releases, FAQs, and social posts
Are energized by ambiguity and by building something new as a first-in-seat marketer
Passionate about AI diffusion and bringing the benefits of AI to people and the world
Preferred qualifications
8+ years of B2B software marketing experience spanning brand, communications, or program marketing
Experience building community or advocacy programs where members promote the program themselves
Experience marketing to technical audiences, particularly engineers and developers
Experience running joint announcements with global system integrators, consulting firms, or enterprise customers
Experience marketing to enterprise technology leaders, such as CIOs and CTOs
Experience marketing AI/ML products
Role-specific policy:
For this role, we expect all staff to be able to work from our San Francisco office at least 2 days a week, though we encourage you to apply even if you might need some flexibility for an interim period of time for relocation.
Deadline to apply:
None. Applications will be reviewed on a rolling basis.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$320,000
—
$320,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: San Francisco Bay Area, California, United States; United States
About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
Director of Product, Ecosystem
Nebius builds the infrastructure serious AI teams run on — GPU clusters, inference runtimes, development environments, and data pipelines purpose-built for demanding AI workloads.
We’re looking for a hands-on product leader to help shape our platform for the next generation of AI applications. Your focus will be
agentic infrastructure
: the capabilities developers and enterprises need to build, run, and scale systems that reason, use tools, and take action.
As
Director of Product, Ecosystem
, you will identify emerging customer needs, explore new product opportunities, and turn promising ideas into capabilities developers choose to build on. You will combine product judgment, technical experimentation, and close relationships across the AI ecosystem to shape what Nebius builds and how it works with other platforms and tools.
Your responsibilities
Define product direction
Own the product vision, priorities, and roadmap for emerging opportunities in agentic infrastructure.
Work directly with developers and enterprise teams to understand their workflows, technical constraints, and unmet needs.
Translate customer insights and ecosystem developments into clear product decisions and scoped releases.
Partner with engineering and design throughout discovery, development, launch, and iteration.
Define success through developer adoption, production usage, customer outcomes, and business impact.
Explore and build hands-on
Build prototypes, sample applications, and integrations to test ideas and make product decisions concrete.
Use Nebius and relevant ecosystem tools firsthand to understand the developer experience and identify gaps.
Work through technical tradeoffs with engineering, including performance, reliability, security, and cost.
Validate new concepts with customers and turn successful experiments into production offerings.
Help create reference architectures and examples that make it easier for developers to get started.
Connect the ecosystem to the platform
Build close relationships with founders, technical leaders, and developers shaping how AI applications are built.
Evaluate emerging tools and technologies through direct experimentation and customer feedback.
Identify where Nebius should build, integrate, or partner to deliver a stronger product experience.
Lead the product side of selected partnerships, from initial concept through integration, launch, and adoption.
Bring external insights into platform planning and help leadership prioritize investments.
Drive adoption and iteration
Work with developer relations, marketing, sales, and field teams to bring new capabilities to market.
Stay close to early users, resolve adoption barriers, and feed production learnings into the roadmap.
Develop a repeatable path from customer discovery and experimentation to products with sustained usage.
Product scope
This role spans the infrastructure and developer experience that support agentic applications. Opportunities may include how applications access models and tools, manage context and state, execute workloads, connect to data, and operate reliably in production.
Your scope will evolve with customer needs and the platform’s direction. We value the ability to find the right problems, develop a clear product thesis, and deliver useful capabilities across this landscape.
We expect you to have
8+ years of relevant experience building technical products, with meaningful ownership of AI infrastructure, cloud platforms, or developer tools.
A track record of taking products from an ambiguous customer problem to production adoption, with measurable outcomes.
Strong technical fluency and the ability to work through architecture and implementation decisions with engineers.
A hands-on approach: You can use APIs and SDKs, explore unfamiliar tools, and build working prototypes to test your thinking.
Experience designing developer experiences across APIs, integrations, documentation, and operational workflows.
Familiarity with how AI applications are built and an informed perspective on the infrastructure needs of increasingly agentic systems.
Strong customer discovery skills and sound judgment about which needs can support a repeatable product.
Clear written and verbal communication, including product proposals, technical tradeoffs, and investment recommendations.
Comfort setting direction, making decisions, and delivering in a fast-moving environment.
It will be an added bonus if you have
Founded a company or served as an early product or engineering leader at an AI or infrastructure startup.
Built products used by developers to create or operate AI applications.
Experience with distributed systems, cloud infrastructure, or production AI workloads.
Contributed to open-source projects or worked closely with developer communities.
Built technical partnerships that led to successful integrations or new product capabilities.
Key Employee Benefits:
Health Insurance:
100% company-paid medical, dental, and vision coverage for employees and families.
401(k) Plan:
Up to 4% company match with immediate vesting.
Parental Leave:
20 weeks paid for primary caregivers, 12 weeks for secondary caregivers.
Remote Work Reimbursement:
Up to $85/month for mobile and internet.
Disability & Life Insurance:
Company-paid short-term, long-term, and life insurance coverage.
Pay Transparency
We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law.
Base Compensation Range
$228,000
—
$285,000 USD
Benefits & Perks:
Competitive compensation
Career growth and learning opportunities
Flexibility and ownership
Collaborative and innovative culture
Opportunity to work on impactful AI projects
International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Location: San Francisco
Workplace: Hybrid
WHY HARVEY
At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come.
This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched.
Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you.
At Harvey, the future of professional services is being written today — and we’re just getting started.
ROLE OVERVIEW
In this role, you'll build the data and measurement systems that power our post-training, benchmarking, and agent capability efforts.
We recently post-trained our first model built for legal work, and we’re now building the team to scale up our post-training efforts. You’ll own synthetic data pipelines, evaluation design, the tasks and grading behind training environments, and the systems that turn feedback from domain experts into training signals and rewards. These are tasks where correctness often can’t be verified automatically, so defining and measuring quality is a core research challenge. You’ll join a small, high-bar team of hands-on engineers and researchers, where each person owns a large part of the work.
We’re looking for research engineers who can build reliable data and evaluation systems, question what a metric actually tells us, and work closely with researchers and legal experts to turn model failures into measurable improvements.
Learn more about our work at harvey.ai/research http://harvey.ai/research.
WHAT YOU'LL DO
- Build synthetic data pipelines that generate, filter, and curate training and evaluation samples for complex legal reasoning and agentic workflows.
- Design evaluations and verifiers that reflect real legal work, calibrate them against expert judgment, and investigate where they fail.
- Build and maintain capability benchmarks like our Legal Agent Benchmark (LAB), along with product-focused evals that track how models perform on real customer workflows.
- Work with legal domain experts to define quality metrics, rubrics, and other grading mechanisms for training and evaluation.
- Own training and evaluation data quality, including provenance, coverage, and safeguards against contamination.
- Close the loop from product usage and customer feedback to new evaluations and training data, so models improve where customers need them most.
- Partner with researchers to investigate model failures, distinguish real gains from misleading metrics, and use findings to guide training and release decisions.
WHAT YOU HAVE
- Experience building data pipelines, ML evaluation systems, or experimentation tooling, with strong Python skills and ownership of production-quality code.
- A rigorous approach to measurement, including statistical reasoning, experimental design, and understanding when a metric can mislead.
- The ability to translate ambiguous goals or expert judgment into structured datasets, rubrics, and measurable criteria.
- Experience with synthetic data, LLM evaluations, automated raters, or preference data is a plus. Strong data and measurement engineering experience close to ML model development is valuable even without prior LLM work.
We are hiring for this role across multiple levels.
COMPENSATION
$230,000 - $450,000 USD
DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74.
#LI-DZ1
Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai
Location: London
Workplace: Hybrid
WHY HARVEY
At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come.
This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched.
Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you.
At Harvey, the future of professional services is being written today — and we’re just getting started.
ROLE OVERVIEW
In this role, you'll build the data and measurement systems that power our post-training, benchmarking, and agent capability efforts.
We recently post-trained our first model built for legal work, and we’re now building the team to scale up our post-training efforts. You’ll own synthetic data pipelines, evaluation design, the tasks and grading behind training environments, and the systems that turn feedback from domain experts into training signals and rewards. These are tasks where correctness often can’t be verified automatically, so defining and measuring quality is a core research challenge. You’ll join a small, high-bar team of hands-on engineers and researchers, where each person owns a large part of the work.
We’re looking for research engineers who can build reliable data and evaluation systems, question what a metric actually tells us, and work closely with researchers and legal experts to turn model failures into measurable improvements.
Learn more about our work at harvey.ai/research http://harvey.ai/research.
WHAT YOU'LL DO
- Build synthetic data pipelines that generate, filter, and curate training and evaluation samples for complex legal reasoning and agentic workflows.
- Design evaluations and verifiers that reflect real legal work, calibrate them against expert judgment, and investigate where they fail.
- Build and maintain capability benchmarks like our Legal Agent Benchmark (LAB), along with product-focused evals that track how models perform on real customer workflows.
- Work with legal domain experts to define quality metrics, rubrics, and other grading mechanisms for training and evaluation.
- Own training and evaluation data quality, including provenance, coverage, and safeguards against contamination.
- Close the loop from product usage and customer feedback to new evaluations and training data, so models improve where customers need them most.
- Partner with researchers to investigate model failures, distinguish real gains from misleading metrics, and use findings to guide training and release decisions.
WHAT YOU HAVE
- Experience building data pipelines, ML evaluation systems, or experimentation tooling, with strong Python skills and ownership of production-quality code.
- A rigorous approach to measurement, including statistical reasoning, experimental design, and understanding when a metric can mislead.
- The ability to translate ambiguous goals or expert judgment into structured datasets, rubrics, and measurable criteria.
- Experience with synthetic data, LLM evaluations, automated raters, or preference data is a plus. Strong data and measurement engineering experience close to ML model development is valuable even without prior LLM work.
We are hiring for this role across multiple levels.
DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74.
#LI-DZ1
Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai
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