Location: India
Job Overview
As an Azure AD B2C Software Engineer, you will play a major role in the development and maintenance of our consumer-facing Azure products. Your primary responsibility will be ensuring the seamless functioning and user experience of our Azure B2C applications. This role requires a deep technical understanding of Azure services, cloud-based software development, and user experience optimization and have the mindset of work independently to lead a business-critical initiative to transform, rationalize, and migrate critical business applications to Azure B2C. The team will lead the effort for this leading organization's cloud strategy roadmap, and the Developer is responsible for coordinating with internal business and IT stakeholders to contribute to the implementation of designs in adherence with the organization's strategy.
Responsibilities:
Software Development & Maintenance:
Develop, implement, and maintain consumer-facing Azure B2C applications, ensuring high performance, responsiveness, and reliability.
Collaborate with cross-functional teams to define, design, and ship new features.
Azure Cloud Integration:
Integrate Azure services effectively into the software architecture, optimizing scalability, security, and efficiency.
Ensure seamless data synchronization between Azure services and the consumer applications.
User Experience Enhancement:
Continuously improve user experience by identifying areas for optimization and implementing solutions.
Conduct user testing and gather feedback for iterative product enhancements.
Security & Compliance:
Implement security measures, access controls, and encryption to safeguard user data and privacy.
Ensure that all Azure B2C applications adhere to organizational security standards and compliance requirements.
Documentation:
Document system configurations, development processes, and changes for reference and future optimization.
Maintain records of software performance, issues, and resolutions.
Consultation & Collaboration:
Provide technical consultation to internal teams, ensuring alignment with Azure best practices.
Collaborate effectively with UX/UI designers, backend developers, and stakeholders to achieve cohesive product functionality.
Custom Policies for Sign In, Sign Up, Reset Password, Profile Edit.
Experience in Enterprise scope implementations.
Ability to work with existing Custom Policies and make changes instead of starting brand new.
User Journey and Sub Journeys
Requirements:
Education:
Bachelor’s degree in computer science, Software Engineering, or related field. Azure Developer Associate or Azure Solutions Architect Expert certifications are highly desirable.
Experience:
Minimum of 5-8 years of experience in cloud-based software engineering, specifically focusing on Azure B2C.
Technical Skills:
Proficiency in Microsoft Azure services, cloud-based software architecture, and API integration.
Strong programming skills in languages such as C#, .NET, or JavaScript.
Familiarity with front-end technologies (e.g., React, Angular) and back-end frameworks.
Experience with Azure DevOps, continuous integration, and deployment practices.
Soft Skills:
Exceptional problem-solving abilities and analytical thinking.
Excellent communication skills, both written and verbal.
Ability to collaborate in a team-oriented environment.
Demonstrated capability to handle multiple tasks and meet deadlines under pressure.
Other:
Eagerness to stay updated with the latest developments in Azure technologies and software engineering best practices.
Note:
The specific responsibilities and tasks may evolve based on the organizational needs and the evolution of the role within the department.
Location: Serbia
Job Title:
AI/ML Engineer
Department:
IT Services /IT Infrastructure
Reports To:
IT Project Manager
Job Overview:
The AI/ML Engineer plays a critical role in designing, developing, and deploying machine learning models and AI-driven solutions to support strategic business initiatives. The role involves collaborating with cross-functional teams, including software engineering, data analytics, product development, and business stakeholders, to drive intelligent automation, data-driven decision-making, and advanced analytics capabilities.
The ideal candidate will have 3 to 5 years of experience in AI/ML model development, with a strong foundation in machine learning algorithms, data preprocessing, and deployment pipelines. Experience with Python, TensorFlow/PyTorch, and cloud-based ML services is essential.
Responsibilities:
1. Model Development and Optimization
Design, build, and deploy ML models for classification, regression, NLP, computer vision, or time-series forecasting.
Select appropriate algorithms and techniques based on business needs and data characteristics.
Continuously monitor and improve model performance using metrics and feedback loops.
2. Data Preparation and Feature Engineering
Clean, preprocess, and transform structured and unstructured datasets for training and inference.
Engineer and select relevant features to improve model accuracy and generalizability.
Collaborate with data engineers to ensure data quality and accessibility.
3. Model Deployment and MLOps
Package and deploy models using tools like Docker, Flask/FastAPI, and Kubernetes.
Implement CI/CD pipelines for ML using platforms like MLflow, Airflow, or Kubeflow.
Monitor deployed models for drift, latency, and performance in production environments.
4. AI Solutions and Use Case Implementation
Work with business stakeholders to translate real-world problems into AI/ML use cases.
Prototype and test AI-driven solutions (e.g., recommendation engines, chatbots, fraud detection).
Contribute to proof-of-concept projects and assist in scaling successful models to production.
5. Research and Innovation
Stay updated with the latest research, frameworks, and tools in machine learning and AI.
Experiment with cutting-edge models (e.g., LLMs, transformers, generative AI) and assess their viability.
Promote innovation by recommending and implementing modern AI strategies.
6. Cross-functional Collaboration
Collaborate with software developers, DevOps, data analysts, and domain experts for end-to-end solution delivery.
Translate technical insights into business value through clear documentation and presentations.
7. Documentation and Best Practices
Maintain comprehensive documentation for models, experiments, and pipelines.
Ensure reproducibility, scalability, and compliance with data governance policies.
Requirements:
Experience:
3–5 years of hands-on experience in machine learning model development and deployment.
Proven track record of solving real-world problems using supervised, unsupervised, or deep learning methods.
Technical Skills:
Strong knowledge of:
Python and ML libraries (scikit-learn, pandas, NumPy, TensorFlow/PyTorch)
Model evaluation, hyperparameter tuning, and pipeline automation
REST APIs for model serving and integration
Familiarity with:
MLOps tools (MLflow, Airflow, DVC, Docker, Kubernetes)
Cloud ML services (AWS SageMaker, Azure ML, GCP AI Platform)
NLP or computer vision frameworks (e.g., Hugging Face, OpenCV)
Soft Skills:
Strong analytical and problem-solving abilities.
Excellent communication skills, both verbal and written.
Ability to work independently and within cross-functional teams.
Curiosity, adaptability, and willingness to learn continuously.
Location: Romania
Job Title:
AI/ML Engineer
Department:
IT Services
Reports To:
IT Project Manager
Job Overview:
The AI/ML Engineer plays a critical role in designing, developing, and deploying machine learning models and AI-driven solutions to support strategic business initiatives. The role involves collaborating with cross-functional teams, including software engineering, data analytics, product development, and business stakeholders, to drive intelligent automation, data-driven decision-making, and advanced analytics capabilities.
The ideal candidate will have 3 to 5 years of experience in AI/ML model development, with a strong foundation in machine learning algorithms, data preprocessing, and deployment pipelines. Experience with Python, TensorFlow/PyTorch, and cloud-based ML services is essential.
Responsibilities:
1. Model Development and Optimization
Design, build, and deploy ML models for classification, regression, NLP, computer vision, or time-series forecasting.
Select appropriate algorithms and techniques based on business needs and data characteristics.
Continuously monitor and improve model performance using metrics and feedback loops.
2. Data Preparation and Feature Engineering
Clean, preprocess, and transform structured and unstructured datasets for training and inference.
Engineer and select relevant features to improve model accuracy and generalizability.
Collaborate with data engineers to ensure data quality and accessibility.
3. Model Deployment and MLOps
Package and deploy models using tools like Docker, Flask/FastAPI, and Kubernetes.
Implement CI/CD pipelines for ML using platforms like MLflow, Airflow, or Kubeflow.
Monitor deployed models for drift, latency, and performance in production environments.
4. AI Solutions and Use Case Implementation
Work with business stakeholders to translate real-world problems into AI/ML use cases.
Prototype and test AI-driven solutions (e.g., recommendation engines, chatbots, fraud detection).
Contribute to proof-of-concept projects and assist in scaling successful models to production.
5. Research and Innovation
Stay updated with the latest research, frameworks, and tools in machine learning and AI.
Experiment with cutting-edge models (e.g., LLMs, transformers, generative AI) and assess their viability.
Promote innovation by recommending and implementing modern AI strategies.
6. Cross-functional Collaboration
Collaborate with software developers, DevOps, data analysts, and domain experts for end-to-end solution delivery.
Translate technical insights into business value through clear documentation and presentations.
7. Documentation and Best Practices
Maintain comprehensive documentation for models, experiments, and pipelines.
Ensure reproducibility, scalability, and compliance with data governance policies.
Requirements:
Experience:
3–5 years of hands-on experience in machine learning model development and deployment.
Proven track record of solving real-world problems using supervised, unsupervised, or deep learning methods.
Technical Skills:
Strong knowledge of:
Python and ML libraries (scikit-learn, pandas, NumPy, TensorFlow/PyTorch)
Model evaluation, hyperparameter tuning, and pipeline automation
REST APIs for model serving and integration
Familiarity with:
MLOps tools (MLflow, Airflow, DVC, Docker, Kubernetes)
Cloud ML services (AWS SageMaker, Azure ML, GCP AI Platform)
NLP or computer vision frameworks (e.g., Hugging Face, OpenCV)
Soft Skills:
Strong analytical and problem-solving abilities.
Excellent communication skills, both verbal and written.
Ability to work independently and within cross-functional teams.
Curiosity, adaptability, and willingness to learn continuously.
Location: India
Job Title:
AI/ML Engineer
Department:
IT Services
Reports To:
IT Project Manager
Job Overview:
The AI/ML Engineer plays a critical role in designing, developing, and deploying machine learning models and AI-driven solutions to support strategic business initiatives. The role involves collaborating with cross-functional teams, including software engineering, data analytics, product development, and business stakeholders, to drive intelligent automation, data-driven decision-making, and advanced analytics capabilities.
The ideal candidate will have 3 to 5 years of experience in AI/ML model development, with a strong foundation in machine learning algorithms, data preprocessing, and deployment pipelines. Experience with Python, TensorFlow/PyTorch, and cloud-based ML services is essential.
Responsibilities:
1. Model Development and Optimization
Design, build, and deploy ML models for classification, regression, NLP, computer vision, or time-series forecasting.
Select appropriate algorithms and techniques based on business needs and data characteristics.
Continuously monitor and improve model performance using metrics and feedback loops.
2. Data Preparation and Feature Engineering
Clean, preprocess, and transform structured and unstructured datasets for training and inference.
Engineer and select relevant features to improve model accuracy and generalizability.
Collaborate with data engineers to ensure data quality and accessibility.
3. Model Deployment and MLOps
Package and deploy models using tools like Docker, Flask/FastAPI, and Kubernetes.
Implement CI/CD pipelines for ML using platforms like MLflow, Airflow, or Kubeflow.
Monitor deployed models for drift, latency, and performance in production environments.
4. AI Solutions and Use Case Implementation
Work with business stakeholders to translate real-world problems into AI/ML use cases.
Prototype and test AI-driven solutions (e.g., recommendation engines, chatbots, fraud detection).
Contribute to proof-of-concept projects and assist in scaling successful models to production.
5. Research and Innovation
Stay updated with the latest research, frameworks, and tools in machine learning and AI.
Experiment with cutting-edge models (e.g., LLMs, transformers, generative AI) and assess their viability.
Promote innovation by recommending and implementing modern AI strategies.
6. Cross-functional Collaboration
Collaborate with software developers, DevOps, data analysts, and domain experts for end-to-end solution delivery.
Translate technical insights into business value through clear documentation and presentations.
7. Documentation and Best Practices
Maintain comprehensive documentation for models, experiments, and pipelines.
Ensure reproducibility, scalability, and compliance with data governance policies.
Requirements:
Experience:
3–5 years of hands-on experience in machine learning model development and deployment.
Proven track record of solving real-world problems using supervised, unsupervised, or deep learning methods.
Technical Skills:
Strong knowledge of:
Python and ML libraries (scikit-learn, pandas, NumPy, TensorFlow/PyTorch)
Model evaluation, hyperparameter tuning, and pipeline automation
REST APIs for model serving and integration
Familiarity with:
MLOps tools (MLflow, Airflow, DVC, Docker, Kubernetes)
Cloud ML services (AWS SageMaker, Azure ML, GCP AI Platform)
NLP or computer vision frameworks (e.g., Hugging Face, OpenCV)
Soft Skills:
Strong analytical and problem-solving abilities.
Excellent communication skills, both verbal and written.
Ability to work independently and within cross-functional teams.
Curiosity, adaptability, and willingness to learn continuously.
Location: Poland
Job Overview
We are seeking an experienced
Software QA & Testing Engineer
to join our dynamic team. In this role, you will play a crucial part in ensuring the delivery of high-quality software through robust manual and automated testing processes, as well as adopting modern testing tools including Artificial Intelligence (AI) for enhanced efficiency and accuracy. You will lead the testing efforts to identify and resolve issues, optimize performance, ensure cross-browser compatibility, and verify the scalability and resiliency of software capabilities under load.
As part of our commitment to innovation, your role will involve implementing AI-powered testing methodologies to improve coverage and identify issues proactively. If you have hands-on experience with automation, cross-browser testing, performance testing, and industry-leading tools (including AI-based solutions), this is the perfect opportunity for your career growth.
Key Responsibilities
1. Test Planning & Strategy
Collaborate with product managers, developers, and other stakeholders to understand requirements and define test objectives.
Develop and document comprehensive and efficient test plans, strategies, and exit criteria.
Ensure alignment with Agile frameworks for CI/CD processes to maintain quality standards throughout the software development lifecycle.
2. Manual Testing
Perform detailed
manual testing
on new features, functional flows, and regression cases.
Conduct comprehensive
exploratory testing
for edge-case scenarios to uncover potential issues early.
Ensure test data coverage for all features, workflows, integrations, and edge cases.
3. Automation Testing
Design, build, and maintain
automation frameworks
for both web and mobile applications using leading tools like
Selenium
,
Cypress
,
Playwright
, and/or similar.
Write efficient and reusable automated test scripts to conduct functional and
end-to-end testing
.
Work on integrating automated tests into CI/CD pipelines (e.g., using
Jenkins
,
GitHub Actions
,
AWS CodePipeline
).
4. Cross-Browser & Device Testing
Perform
cross-browser testing
on modern browsers such as Chrome, Firefox, Safari, and Edge using tools like
BrowserStack
,
Lambdatest
, or
CrossBrowserTesting
.
Validate software compatibility across various operating systems and devices (desktop and mobile).
5. Performance Testing
Design and execute performance, scalability, and stress tests for high-traffic systems using tools like
JMeter
,
LoadRunner
, or
Gatling
.
Monitor application response time, throughput, and behavior under heavy load scenarios.
Analyze performance bottlenecks and provide optimization recommendations to development teams.
6. AI-Driven Testing
Utilize AI-powered test case generation tools like
Testim
,
Applitools
, or
Tricentis Tosca
to design smarter and faster test cases.
Work with AI-based tools for visual regression testing and intelligent defect identification.
Stay up to date on emerging trends in AI-driven QA solutions to enhance testing strategies.
7. Defect Reporting & Debugging
Identify, document, and track
bugs and defects
found during testing using bug-tracking tools such as
JIRA
,
Trello
, and
Azure DevOps
.
Actively collaborate with development teams to troubleshoot and resolve defects, ensuring software efficiency and stability.
8. Documentation & Reporting
Create and maintain a repository of detailed test plans, test cases, and test execution reports.
Generate test metrics and quality reports to update stakeholders regarding system quality and testing progress.
Requirements
1. Education & Experience
Bachelor’s degree
in Computer Science, Engineering, or a related field.
4–6 years
of experience in a Software QA role, with a proven track record of delivering high-quality software products.
2. Technical Skills
Strong understanding of
software QA methodologies
,
manual and automation testing standards
, and
testing tools
.
Hands-on experience with
manual and automation testing
of workflows and UI components.
Proficiency with key automation testing frameworks (e.g.,
Selenium, TestNG, Playwright, Cypress, etc.
).
Demonstrated expertise in
cross-browser testing
tools (e.g.,
BrowserStack, LambdaTest, Sauce Labs
).
Advanced knowledge of
performance and stress testing
tools (e.g.,
JMeter, LoadRunner, Gatling, or k6
).
Experience with
API testing tools
such as
Postman, Rest Assured
, or
Karate
.
Proficiency with
test management tools
(e.g.,
Jira, TestRail
) and version control systems like
Git
.
Familiarity with
CI/CD pipelines
and DevOps tools (e.g.,
Jenkins, GitHub Actions, Azure Pipelines
).
3. AI Testing Tools
Hands-on experience with AI-enhanced testing tools such as:
Testim, Tricentis Tosca, Katalon AI, Applitools, and Mabl
AI-powered visual testing and smart test case generation
Understanding of AI-driven methodologies for predictive testing, defect prioritization, and anomaly detection.
4. Additional Skills
Strong troubleshooting and debugging skills with an eye for detail.
Excellent communication skills, with the ability to articulate complex issues to technical and business stakeholders clearly.
Demonstrated ability to work in
Agile environments
and with techniques such as
regression testing
, exploratory testing, and smoke/sanity testing.
Knowledge of scripting languages such as
Python, JavaScript, or Java
is a plus.
Preferred Qualifications
Certifications
:
ISTQB Foundation Level or Advanced Level certification
Certified Selenium Professional, Appium Certification, or equivalent
Experience in Performance & Load Testing
: Hands-on knowledge with tools like JMeter or LoadRunner.
Familiarity with AI/ML Testing
: Experience testing machine-learning models or data-driven AI applications.
Cloud Testing
: Familiarity with testing APIs and services hosted on
AWS
,
Azure
, or
GCP
.
Location: Romania
Job Overview
We are seeking an experienced
Software QA & Testing Engineer
to join our dynamic team. In this role, you will play a crucial part in ensuring the delivery of high-quality software through robust manual and automated testing processes, as well as adopting modern testing tools including Artificial Intelligence (AI) for enhanced efficiency and accuracy. You will lead the testing efforts to identify and resolve issues, optimize performance, ensure cross-browser compatibility, and verify the scalability and resiliency of software capabilities under load.
As part of our commitment to innovation, your role will involve implementing AI-powered testing methodologies to improve coverage and identify issues proactively. If you have hands-on experience with automation, cross-browser testing, performance testing, and industry-leading tools (including AI-based solutions), this is the perfect opportunity for your career growth.
Key Responsibilities
1. Test Planning & Strategy
Collaborate with product managers, developers, and other stakeholders to understand requirements and define test objectives.
Develop and document comprehensive and efficient test plans, strategies, and exit criteria.
Ensure alignment with Agile frameworks for CI/CD processes to maintain quality standards throughout the software development lifecycle.
2. Manual Testing
Perform detailed
manual testing
on new features, functional flows, and regression cases.
Conduct comprehensive
exploratory testing
for edge-case scenarios to uncover potential issues early.
Ensure test data coverage for all features, workflows, integrations, and edge cases.
3. Automation Testing
Design, build, and maintain
automation frameworks
for both web and mobile applications using leading tools like
Selenium
,
Cypress
,
Playwright
, and/or similar.
Write efficient and reusable automated test scripts to conduct functional and
end-to-end testing
.
Work on integrating automated tests into CI/CD pipelines (e.g., using
Jenkins
,
GitHub Actions
,
AWS CodePipeline
).
4. Cross-Browser & Device Testing
Perform
cross-browser testing
on modern browsers such as Chrome, Firefox, Safari, and Edge using tools like
BrowserStack
,
Lambdatest
, or
CrossBrowserTesting
.
Validate software compatibility across various operating systems and devices (desktop and mobile).
5. Performance Testing
Design and execute performance, scalability, and stress tests for high-traffic systems using tools like
JMeter
,
LoadRunner
, or
Gatling
.
Monitor application response time, throughput, and behavior under heavy load scenarios.
Analyze performance bottlenecks and provide optimization recommendations to development teams.
6. AI-Driven Testing
Utilize AI-powered test case generation tools like
Testim
,
Applitools
, or
Tricentis Tosca
to design smarter and faster test cases.
Work with AI-based tools for visual regression testing and intelligent defect identification.
Stay up to date on emerging trends in AI-driven QA solutions to enhance testing strategies.
7. Defect Reporting & Debugging
Identify, document, and track
bugs and defects
found during testing using bug-tracking tools such as
JIRA
,
Trello
, and
Azure DevOps
.
Actively collaborate with development teams to troubleshoot and resolve defects, ensuring software efficiency and stability.
8. Documentation & Reporting
Create and maintain a repository of detailed test plans, test cases, and test execution reports.
Generate test metrics and quality reports to update stakeholders regarding system quality and testing progress.
Requirements
1. Education & Experience
Bachelor’s degree
in Computer Science, Engineering, or a related field.
4–6 years
of experience in a Software QA role, with a proven track record of delivering high-quality software products.
2. Technical Skills
Strong understanding of
software QA methodologies
,
manual and automation testing standards
, and
testing tools
.
Hands-on experience with
manual and automation testing
of workflows and UI components.
Proficiency with key automation testing frameworks (e.g.,
Selenium, TestNG, Playwright, Cypress, etc.
).
Demonstrated expertise in
cross-browser testing
tools (e.g.,
BrowserStack, LambdaTest, Sauce Labs
).
Advanced knowledge of
performance and stress testing
tools (e.g.,
JMeter, LoadRunner, Gatling, or k6
).
Experience with
API testing tools
such as
Postman, Rest Assured
, or
Karate
.
Proficiency with
test management tools
(e.g.,
Jira, TestRail
) and version control systems like
Git
.
Familiarity with
CI/CD pipelines
and DevOps tools (e.g.,
Jenkins, GitHub Actions, Azure Pipelines
).
3. AI Testing Tools
Hands-on experience with AI-enhanced testing tools such as:
Testim, Tricentis Tosca, Katalon AI, Applitools, and Mabl
AI-powered visual testing and smart test case generation
Understanding of AI-driven methodologies for predictive testing, defect prioritization, and anomaly detection.
4. Additional Skills
Strong troubleshooting and debugging skills with an eye for detail.
Excellent communication skills, with the ability to articulate complex issues to technical and business stakeholders clearly.
Demonstrated ability to work in
Agile environments
and with techniques such as
regression testing
, exploratory testing, and smoke/sanity testing.
Knowledge of scripting languages such as
Python, JavaScript, or Java
is a plus.
Preferred Qualifications
Certifications
:
ISTQB Foundation Level or Advanced Level certification
Certified Selenium Professional, Appium Certification, or equivalent
Experience in Performance & Load Testing
: Hands-on knowledge with tools like JMeter or LoadRunner.
Familiarity with AI/ML Testing
: Experience testing machine-learning models or data-driven AI applications.
Cloud Testing
: Familiarity with testing APIs and services hosted on
AWS
,
Azure
, or
GCP
.
Location: India
Job Brief
We are looking to hire a skilled
Accountant & Bookkeeper
to manage our company’s day-to-day financial operations. As part of the Uvation finance team, you will be responsible for maintaining accurate financial records, managing accounts payable and receivable, reconciling bank statements, preparing reports, and ensuring compliance with applicable tax laws and regulations.
You will be working closely with our leadership team to provide financial insights, assist in budgeting, and support decision-making processes.
To ensure success in this role, you should have proven experience in accounting and bookkeeping, strong attention to detail, and hands-on experience with
MS Dynamics
,
NetSuite or QuickBooks
. Ultimately, a top-level Accountant & Bookkeeper will ensure that our company’s finances run smoothly and transparently.
Responsibilities & Duties
Perform full-cycle bookkeeping for multiple entities.
Manage and reconcile accounts payable, receivable, bank accounts, and credit card transactions.
Post and review general ledger entries; ensure accuracy of financial data.
Maintain accounting records in line with
U.S. GAAP
and company policies.
Lead transition to
NetSuite
, including data migration and COA design.
Prepare monthly, quarterly, and annual financial statements.
Support tax filings and liaise with CPAs, auditors, and consultants.
Ensure compliance with local, state, and federal regulations.
Track cash flow, burn rate, and report KPIs to management.
Assist with budgeting, forecasting, and financial planning.
Establish consistent practices for multi-entity and global operations.
Maintain clean audit trails for internal and external audits.
Collaborate with CFO, founders, and cross-border accounting teams.
Qualifications
Bachelor’s degree in Accounting, Finance, or a related field (Master’s preferred).
Professional certification such as CPA, ACCA, or CMA preferred.
Proven experience as an Accountant, Bookkeeper, or in a similar role.
Hands-on experience with
Microsoft Dynamics
,
NetSuite
and/or
QuickBooks
.
Proficiency in Microsoft Excel and other MS Office tools.
Preferred Skills
Strong knowledge of accounting principles and financial regulations.
Excellent analytical and problem-solving skills.
High attention to detail and accuracy in work.
Strong organizational and time management abilities.
Ability to handle sensitive, confidential information with integrity.
Strong communication skills for collaborating with cross-functional teams.
Ability to work independently and meet strict deadlines.
Location: Serbia
Job Overview
We are seeking an experienced
Software QA & Testing Engineer
to join our dynamic team. In this role, you will play a crucial part in ensuring the delivery of high-quality software through robust manual and automated testing processes, as well as adopting modern testing tools including Artificial Intelligence (AI) for enhanced efficiency and accuracy. You will lead the testing efforts to identify and resolve issues, optimize performance, ensure cross-browser compatibility, and verify the scalability and resiliency of software capabilities under load.
As part of our commitment to innovation, your role will involve implementing AI-powered testing methodologies to improve coverage and identify issues proactively. If you have hands-on experience with automation, cross-browser testing, performance testing, and industry-leading tools (including AI-based solutions), this is the perfect opportunity for your career growth.
Key Responsibilities
1. Test Planning & Strategy
Collaborate with product managers, developers, and other stakeholders to understand requirements and define test objectives.
Develop and document comprehensive and efficient test plans, strategies, and exit criteria.
Ensure alignment with Agile frameworks for CI/CD processes to maintain quality standards throughout the software development lifecycle.
2. Manual Testing
Perform detailed
manual testing
on new features, functional flows, and regression cases.
Conduct comprehensive
exploratory testing
for edge-case scenarios to uncover potential issues early.
Ensure test data coverage for all features, workflows, integrations, and edge cases.
3. Automation Testing
Design, build, and maintain
automation frameworks
for both web and mobile applications using leading tools like
Selenium
,
Cypress
,
Playwright
, and/or similar.
Write efficient and reusable automated test scripts to conduct functional and
end-to-end testing
.
Work on integrating automated tests into CI/CD pipelines (e.g., using
Jenkins
,
GitHub Actions
,
AWS CodePipeline
).
4. Cross-Browser & Device Testing
Perform
cross-browser testing
on modern browsers such as Chrome, Firefox, Safari, and Edge using tools like
BrowserStack
,
Lambdatest
, or
CrossBrowserTesting
.
Validate software compatibility across various operating systems and devices (desktop and mobile).
5. Performance Testing
Design and execute performance, scalability, and stress tests for high-traffic systems using tools like
JMeter
,
LoadRunner
, or
Gatling
.
Monitor application response time, throughput, and behavior under heavy load scenarios.
Analyze performance bottlenecks and provide optimization recommendations to development teams.
6. AI-Driven Testing
Utilize AI-powered test case generation tools like
Testim
,
Applitools
, or
Tricentis Tosca
to design smarter and faster test cases.
Work with AI-based tools for visual regression testing and intelligent defect identification.
Stay up to date on emerging trends in AI-driven QA solutions to enhance testing strategies.
7. Defect Reporting & Debugging
Identify, document, and track
bugs and defects
found during testing using bug-tracking tools such as
JIRA
,
Trello
, and
Azure DevOps
.
Actively collaborate with development teams to troubleshoot and resolve defects, ensuring software efficiency and stability.
8. Documentation & Reporting
Create and maintain a repository of detailed test plans, test cases, and test execution reports.
Generate test metrics and quality reports to update stakeholders regarding system quality and testing progress.
Requirements
1. Education & Experience
Bachelor’s degree
in Computer Science, Engineering, or a related field.
4–6 years
of experience in a Software QA role, with a proven track record of delivering high-quality software products.
2. Technical Skills
Strong understanding of
software QA methodologies
,
manual and automation testing standards
, and
testing tools
.
Hands-on experience with
manual and automation testing
of workflows and UI components.
Proficiency with key automation testing frameworks (e.g.,
Selenium, TestNG, Playwright, Cypress, etc.
).
Demonstrated expertise in
cross-browser testing
tools (e.g.,
BrowserStack, LambdaTest, Sauce Labs
).
Advanced knowledge of
performance and stress testing
tools (e.g.,
JMeter, LoadRunner, Gatling, or k6
).
Experience with
API testing tools
such as
Postman, Rest Assured
, or
Karate
.
Proficiency with
test management tools
(e.g.,
Jira, TestRail
) and version control systems like
Git
.
Familiarity with
CI/CD pipelines
and DevOps tools (e.g.,
Jenkins, GitHub Actions, Azure Pipelines
).
3. AI Testing Tools
Hands-on experience with AI-enhanced testing tools such as:
Testim, Tricentis Tosca, Katalon AI, Applitools, and Mabl
AI-powered visual testing and smart test case generation
Understanding of AI-driven methodologies for predictive testing, defect prioritization, and anomaly detection.
4. Additional Skills
Strong troubleshooting and debugging skills with an eye for detail.
Excellent communication skills, with the ability to articulate complex issues to technical and business stakeholders clearly.
Demonstrated ability to work in
Agile environments
and with techniques such as
regression testing
, exploratory testing, and smoke/sanity testing.
Knowledge of scripting languages such as
Python, JavaScript, or Java
is a plus.
Preferred Qualifications
Certifications
:
ISTQB Foundation Level or Advanced Level certification
Certified Selenium Professional, Appium Certification, or equivalent
Experience in Performance & Load Testing
: Hands-on knowledge with tools like JMeter or LoadRunner.
Familiarity with AI/ML Testing
: Experience testing machine-learning models or data-driven AI applications.
Cloud Testing
: Familiarity with testing APIs and services hosted on
AWS
,
Azure
, or
GCP
.
Location: Strava SF
Workplace: Hybrid
ABOUT STRAVA
Strava is the app for active people. With over 200 million athletes in more than 185 countries, it’s more than tracking workouts—it’s where people make progress together, from new habits to new personal bests. No matter your sport or how you track it, Strava’s got you covered. Find your crew, crush your goals, and make every effort count. Start your journey https://www.strava.com/subscription with Strava today.
Our mission is simple: to motivate people to live their best active lives. We believe in the power of movement to connect and drive people forward.
About This Role:
Strava is hiring an Engineering Manager on our Subscriptions team. This team owns Strava's payments and subscription platform, both the infrastructure and the user-facing products it powers. We're looking for a technical manager who still writes code and wants to grow a small team of backend engineers while owning some of Strava's most critical systems.
We follow a flexible hybrid model that translates to more than half of your time on-site in our San Francisco office, three days per week.
What You'll Do:
- Lead a team of server engineers building Strava's subscription and payments backend, systems that power how millions of athletes subscribe, pay, and manage their subscriptions.
- Own the technical roadmap for payments and subscription infrastructure. You'll partner closely with product and engineering leadership on priorities, balancing platform investment, reliability, and delivery.
- Drive both platform and product work. Your team owns our subscription infrastructure and the user-facing products it powers.
- Stay hands-on in the codebase. You'll write code, own technical designs, and make architecture decisions alongside your team, not just review them.
- Hire, develop, and retain engineers at multiple levels. Coach people through career growth, give direct feedback, and build a team that gets stronger over time.
- Keep payment and subscription services reliable and healthy. You own on-call, incident response, and the operational bar for your team's systems.
- Partner cross-functionally with product, design, accounting, and marketing to identify the highest-leverage work and ship it.
- Treat ownership seriously. Your team's systems handle payments, billing, and subscription state for millions of users. You take reliability, correctness, and incident response personally.
- Grow your engineers. You'll manage people at different career stages and help each one develop, whether that's getting someone to senior or helping a more experienced engineer take on larger technical ownership.
- Build for the long term. You make pragmatic tradeoffs between shipping now and investing in the platform, and you can explain those tradeoffs clearly to partners.
- Stay technical. You're not managing from a distance. You have informed opinions on system design and you can unblock engineers by jumping into the code.
- Make the team better. You care about how the team works, not just what they ship. You'll fix what's slowing people down and build processes that stick.
What You'll Bring to the Team:
- 5+ years of professional software development experience in backend engineering.
- 2+ years of engineering management experience, or demonstrated tech lead experience where you were already doing the job of coaching engineers, driving technical direction, and owning delivery for a team.
- Proficiency in at least one of Strava's backend languages (Ruby, Java, Scala, Python, or Go).
- Experience with distributed systems and production infrastructure (MySQL, Redis, Kafka, Kubernetes, or similar).
- Experience with, or genuine interest in, payments, billing, or subscription systems.
- A track record of helping engineers grow through direct feedback, mentorship, and sponsorship.
- We'd love to talk to you about the future of Strava’s core technologies and your role in developing them
For more information of benefits, please click here https://docs.google.com/document/d/e/2PACX-1vTkFMPz3eCjd0FgQ28VWnK4d2BEnzGyaSFGwATR-dQdBb9HxZgay6kboqnT0-V-qaBDzSvYIzI76vT5/pub.
WHY JOIN US?
Movement brings us together. At Strava, we’re building the world’s largest community of active people, helping them stay motivated and achieve their goals.
Our global team is passionate about making movement fun, meaningful, and accessible to everyone. Whether you’re shaping the technology, growing our community, or driving innovation, your work at Strava makes an impact.
When you join Strava, you’re not just joining a company—you’re joining a movement. If you’re ready to bring your energy, ideas, and drive, let’s build something incredible together.
Strava builds software that makes the best part of our athletes’ days even better. Just as we’re deeply committed to unlocking their potential, we’re dedicated to providing a world-class, inclusive workplace where our employees can grow and thrive, too. We’re backed by Sequoia Capital, TCV, Madrone Partners and Jackson Square Ventures, and we’re expanding in order to exceed the needs of our growing community of global athletes. Our culture reflects our community. We are continuously striving to hire and engage teammates from all backgrounds, experiences and perspectives because we know we are a stronger team together.
Strava is an equal opportunity employer. In keeping with the values of Strava, we make all employment decisions including hiring, evaluation, termination, promotional and training opportunities, without regard to race, religion, color, sex, age, national origin, ancestry, sexual orientation, physical handicap, mental disability, medical condition, disability, gender or identity or expression, pregnancy or pregnancy-related condition, marital status, height and/or weight.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
California Consumer Protection Act Applicant Notice https://docs.google.com/document/d/e/2PACX-1vSc8y6On4NlP5s12hf4kmWe_pvenVyQ78TbtVaz_clROhj9ADQ6kY4YScglBIuY2joKFKalOReX7vP_/pub
Location: IND - Pune
About Monster Energy:
Forget about blending in. That's not our style. We're the risk takers, the trailblazers, the gamechangers. We're not perfect and we don't pretend to be. We're raw, unfiltered, and a bit unconventional. Our drive is just like our athletes, unrivaled. The power is in your hands to define what success looks like and where you want to take your career. It's not just about what we do, but about who we become on along the way. We are much more than a brand here. We are a way of life, a mindset. Join us.
A Day in the Life:
Ready to own the floor? As a Warehouse Supervisor, you'll be the driving force behind our warehouse operations, leading a team to keep products moving seamlessly from receiving to shipping. You'll oversee inventory management, order fulfillment, loading and unloading activities, and warehouse organization, ensuring every shift runs safely, efficiently, and with the relentless pace that powers Monster Energy.
The Impact You'll Make:
Assist with design and implementation of work methods and operational procedures for activities, such as verification of incoming and outgoing shipments, handling and disposition of materials, and keeping warehouse inventory current.
Review shipping or receiving orders and requests for movement of materials and products. Manage inventory accuracy through monitoring daily warehouse activities, cycle counts, stock takes and audits to verify results.
Develop work schedules and assigns work to subordinates. Supervise staff, manage workload and provide effective guidance and direction. May train, evaluate employee performance, and recommend or initiate promotions, transfers, and disciplinary action.
Review work processes, recommend measures to improve production methods, equipment performance, and quality of product or service, and suggest changes in working conditions to increase efficiency.
Provide leadership support by establishing clear expectations and demonstrating high standards of work practices and safety conscious behavior.
Communicate with other shift supervisor and warehouse manager regarding the progress of the shift and any outstanding issues.
Keeps accurate records, and prepares and submits required paperwork.
Who You Are:
Prefer a Bachelor's Degree in the field of -- Business Administration, or related field of study.
Between 3-5 years of experience in Warehouse supervisor role.
Experience in
logistics operations would be an added advantage.
Candidates with knowledge of WMS (Warehouse Management Systems), OHSAS, and 5S would be preferred.
Read our privacy policy here:
Privacy Policy
Location: London, UK; San Francisco, CA
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
Our mission on the Connectivity team is to make Claude the most connected AI. As agents take on more real-world work, we're taking a leading role in defining how they get access to external systems — safely, with the right permissions, and in ways enterprises can trust. We ship standards and services used by claude.ai, Claude Code, Cowork, and the API. We own the MCP proxy that routes every tool call and the OAuth and token management that keeps connections authenticated. We're also core contributors to the MCP spec — now an open standard under the Linux Foundation — and maintain the official Python and TypeScript SDKs.
We're looking for experienced software engineers to join Connectivity. The team spans San Francisco and London, and you'll work closely with partner teams across Anthropic to deliver impact across all of our products. You'll work on problems where reliability and enterprise trust are critical. This means OAuth at scale, admin controls that let IT govern what agents can do, and proxy infrastructure that is reliable by default.
What you'll do
You'll design, build, and operate the core connectivity infrastructure behind external tool calls — the MCP proxy and the OAuth and token management systems that keep connections authenticated. You'll own reliability for infrastructure that other teams and external partners depend on, including SLOs, on-call, incident response, and postmortems. You'll build the admin controls and permission models that let enterprise IT govern what agents can do, and contribute to the MCP standard and its ecosystem, including the spec and the official Python and TypeScript SDKs. You'll turn ambiguous outcomes into shipped, scoped work, dogfooding what you build in the products that consume it.
You'll independently scope complex, multi-month projects, drive cross-org alignment through ambiguous problem spaces, and make architectural decisions that shape how Anthropic builds and scales its products. You'll partner directly with research to productize cutting-edge capabilities, and will have lasting impact on the platform that hundreds of thousands of companies and internal/external engineers depend on every day.
You might be a good fit if you:
Experience as a backend or platform engineer
Familiarity with using AI tools as part of the software development process
Take a product-focused approach to platform work and care about building solutions that are robust, scalable, and easy to use
Take full ownership of your work — from design through build, deployment, and operations, to iterating on and improving your product
Can navigate ambiguity and make sound technical decisions independently, and have ideally operated in both 0 → 1 and more mature team or company settings
Experience operating production distributed systems, with an understanding of what reliability, observability, and incident response require at scale
Excellent communication skills, with the ability to build consensus across teams and time zones
Deadline to apply:
None. Applications will be reviewed on a rolling basis.
Location Preference:
Preference will be given to candidates based in NY, SEA, SF or the Bay Area given the current location of team.
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:
$405,000
—
$485,000 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, CA | New York City, NY | Seattle, WA
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
We build and run the secure execution environment behind Claude's agentic capabilities. When Claude writes and runs code, browses the web, or uses a computer, that happens on infrastructure our team owns. We work at the intersection of systems engineering and security. The goal is to make untrusted code execution safe, fast, and reliable enough that product teams don't have to think about it. This is the layer between the model and the outside world, and it has to hold up at scale for every Anthropic product. We're hiring engineers who have experience building for containerized workloads and have a keen eye for building products used by millions of customers.
What you'll do
You'll independently scope complex, multi-month projects, drive cross-org alignment through ambiguous problem spaces, and make architectural decisions that shape how Anthropic builds and scales its products. You'll partner directly with research to productize cutting-edge capabilities, and will have lasting impact on the platform that hundreds of thousands of companies and internal/external engineers depend on every day.
You might be a good fit if you:
Have a minimum of 8 years of practical experience as a backend or platform engineer building scalable distributed systems, ideally operating at tech lead level or equivalent distributed systems, cloud-native products, developer tools, or external developer facing products
Have strong fundamentals in service-oriented architectures, networking, and systems design, ideally having owned both the technical vision and execution of a foundational platform system end to end
Are proficient in Python, Go, Rust, or similar systems languages
Have experience with cloud infrastructure (GCP, AWS, or Azure), container orchestration (Kubernetes), and/or multi-cloud networking
Take full ownership of your work—from design through deployment and operations
Can navigate ambiguity and make sound technical decisions independently, and have ideally operated in 0 to 1 and more mature team or company settings
Take a product-focused approach to platform work and care about building solutions that are robust, scalable, and easy to us
Deadline to apply:
None. Applications will be reviewed on a rolling basis.
Location Preference:
Preference will be given to candidates based in NY, SEA, SF or the Bay Area given the current location of team.
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:
$405,000
—
$485,000 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: 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.
Reports to: Head of Content Operations
Location: Hong Kong
Travel: International travel to the EU, Japan or the US
Time Zones: Will collaborate across time zones with clearly defined overlap windows.
We're looking for a
Senior Program Manager, Retail Demo Content
to drive the strategy, roadmap, and execution of what games and content appear in our retail demo experience. This is a highly cross-functional role that sits at the intersection of
content strategy, production planning, and retail execution
— turning leadership's retail vision into a clear, actionable content roadmap that ships on time, every time.
You'll be the connective tissue between our game production pipeline, developer experience team, retail deployment team, and publishing/marketing — ensuring the retail demo always showcases the right games, at the right time, in a way that drives conversion and supports broader go-to-market strategy.
What You’ll Do
Own the retail demo content roadmap
— Determine which games should be featured in retail demo units at any given time, based on our production release schedule, business priorities, and retailer needs. Also own the retail demo experience across multiple regions with local demands and customizations.
Translate strategy into execution
— Take high-level management direction on retail demo goals and convert it into a concrete, achievable execution plan with clear timelines and milestones.
Drive on-time delivery
— Manage the end-to-end planning process and working closely with Developer Experience Team to ensure new retail demo content is ready and deployed to retail demo units on schedule, with no surprises.
Coordinate with Retail Deployment
— Partner with our Retail Deployment team to align on logistics, timing, and technical requirements for rolling out new content to physical retail locations (Target, Costco, Walmart, etc.).
Align with Publishing & Marketing
— Collaborate with Publishing and Marketing teams to identify opportunities where retail demo content can support broader go-to-market (GTM) campaigns, new title launches, or seasonal promotions.
Build repeatable process
— Establish clear, scalable planning frameworks and documentation so that retail demo content planning becomes a predictable, well-oiled process rather than an ad hoc effort.
Report and communicate
— Keep the Head of Content Operations and relevant stakeholders informed on roadmap status, risks, and delivery timelines.
Who You Are
5-8+ years of experience
in program/product management, content operations, production coordination, or a related field — ideally within gaming, consumer tech, or retail/CE (consumer electronics) industries.
Proven ability to
build and manage roadmaps
across multiple stakeholders and moving parts, with a track record of on-time delivery.
Strong
cross-functional collaborator
— comfortable working with engineering/dev teams, retail/operations teams, and marketing/publishing teams simultaneously.
Experience translating
ambiguous, high-level direction
from leadership into structured, actionable plans.
Familiarity with
game production pipelines
and/or
retail merchandising/demo programs
is a strong plus.
Excellent
communication and stakeholder management
skills — able to align diverse teams (technical, creative, retail, marketing) around a shared plan.
Highly organized, detail-oriented, and comfortable owning a roadmap end-to-end.
A passion for gaming, interactive entertainment, or family/consumer tech products is a big plus.
Nice to Have
Prior experience working with major retailers (Target, Costco, Walmart, Best Buy, etc.) on in-store demo, merchandising, or activation programs.
Experience in game publishing, live-ops, or content scheduling.
Familiarity with GTM (go-to-market) planning and how retail experiences tie into broader marketing campaigns.
#LI-Remote
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: Waldorf, Maryland
About Snap! Mobile, Inc:
Founded in 2014, Snap! Mobile is the creator of Snap! Raise, the nation’s largest and top-performing digital fundraising
platform for high school and youth athletics and activities. Since its founding, Snap! Raise has helped over 150,000 schools, groups, and teams raise more than
$1 billion
.
Snap! Mobile
supports schools, teams, and organizations with Snap! Mobile One, an all-in-one app designed to
simplify operations and enhance community engagement. Snap! Mobile One combines the power of Snap! Raise
fundraising, fan and community engagement, event scheduling, registration, website management, messaging services,
money management, and spirit wear to deliver everything administrators need to succeed in one easy-to-use app.
About the Role:
As an
Account Executive
, you will drive the performance and success of your territory by executing a strategic sales plan to generate and develop business opportunities across schools and organizations in your area. You will be responsible for establishing relationships and maintaining and growing existing business. Snap Mobile Account Executives make a tremendous impact and are trusted by athletic directors, coaches, educators, booster clubs, and their communities to support the programs of those we serve.
This is a Full-Time position.
A Day in the Life
Grow business and achieve sales targets by developing, and executing a territory plan
Earn credibility as an industry expert for athletic directors, coaches, group leaders, and administrators
Understand customer objectives, and articulate relevant technology and industry trends
Represent Snap! Mobile at events to influence sales opportunities
Build and cultivate customer relationships at schools, districts, club sports
Manage sales pipeline and provide accurate sales forecasts
Maintain accurate customer records within the company’s systems, including HubSpot
Role Progression
Within 1 Month, You Will:
Complete new hire onboarding including eLearning courses, certification, instructor-led training, role-play, and mentorship
Begin outreach to cultivate customer relationships with coaches, group leaders, athletic directors, and financial/district administrators
Effectively manage all steps in the sales process and track progress in CRM
Learn best practices, processes, and business tools used including HubSpot
Within 3 Months, You Will:
Be executing a strategic territory growth plan, built in collaboration with your manager
Feel confident in prospecting new business, conducting discovery calls, and presentations to customers both in-person and digitally
Know how to prospect to create new revenue opportunities
Within 6 Months, You Will:
Complete sales activities at volume with a high degree of independence, both in-person and digitally
Prospect and close sales toward quarterly and annual targets
Work sales opportunities from beginning to end, resulting in new business
Increase customer saturation and retention rates, add revenue through customer acquisition
What Sets Us Apart?
Work with an industry leader to innovate and develop products to serve our customers
Work with a team that has a proven track record of growth and achievement
Support your community, and it’s future leaders by providing a better opportunity
You will be challenged and encouraged to broaden your skills
Regular social & philanthropic events
Access to personal development courses and tools internally
About You
You are organized, get things done, and routinely exceed goals
You are comfortable in a quickly changing environment and adapt to reach high-performance
You have a strong desire to learn in a fast-moving technology company
Thrive on open transparency, communication, and collaboration
2+ years of sales experience
Requirements:
Clean driving record
Compensation:
Base Salary $40K + Commission, uncapped with average OTE of $70K - $175K in year one
Snap! Mobile is proud to offer the following benefits:
Medical, Dental, Vision
401K match from the company
Paid Company Holidays
Unlimited PTO
Compensation:
Base + Commission with an average OTE of $75 -95K in year one.
Account Executive Compensation
$75,000
—
$95,000 USD
CA Residents click here for privacy policy
We use E-verify to onboard new hires. Please click
here
to learn more.
Location: United Kingdom; Poland; Germany; Romania; Netherlands; Spain
Location:
Europe (100% Remote)
Contract Type:
Advisory / Project-Based
About Us
Where elite tech talent meets world-class opportunities!
At Xenon7, we work with leading enterprise clients and innovative startups on high-impact projects across Data, AI, Cloud, and Software Engineering. Our expertise in AI solution architecture and specialized technical talent allows us to partner with enterprise leaders on transformative initiatives, driving innovation and business growth.
Job Summary
We are seeking an
Agentforce AI Maestro
to join our elite European advisory roster under Xenon7's flexible Maestro Model. This strategic, fractional role combines enterprise Salesforce architecture with advanced LLM engineering to lead high-level technical discovery, design agentic workflows, and oversee production deployments for enterprise clients across Europe.
Rather than a standard full-time commitment, this role provides high-leverage advisory engagements and project-based execution, with the potential to evolve into a full-time principal position as engagements scale. This is a hands-on technical lead role, not a Salesforce admin position.
A. Agentforce Architecture & System Design
Solution Architecture:
Translate complex enterprise business processes into end-to-end agentic workflows (Intent $\rightarrow$ Agent $\rightarrow$ Context $\rightarrow$ Reasoning $\rightarrow$ Actions $\rightarrow$ Systems $\rightarrow$ Outcome).
Core Agent Engineering:
Design, configure, and build enterprise agents using Agent Builder, Agentforce Studio, Agent Script / DX, subagent routing, and instructions.
Deterministic Logic Integration:
Build robust back-end support using Salesforce Flow, Apex, SOQL, APIs, Named Credentials, and OAuth.
B. Agentic AI & LLM Engineering
Orchestration & Tooling:
Implement tool/function calling, structured outputs, multi-step agent workflows, and prompt/context engineering.
Architectural Trade-offs:
Evaluate and determine when to leverage LLM reasoning versus deterministic Apex/Flow logic to minimize latency and token costs while preventing hallucinations.
C. Enterprise Data & System Integration
Grounding & RAG:
Ground agent reasoning in structured/unstructured enterprise data utilizing Salesforce Data Cloud / Data 360, semantic search, and Knowledge libraries.
System Interoperability:
Architect REST API callouts, event-driven integrations, and MuleSoft platform pipelines, incorporating Model Context Protocol (MCP) standards.
D. Testing, Security & Strategic Advisory
Testing & Quality Assurance:
Drive automated testing and multi-turn conversation tracing using the Agentforce Testing Center.
Security & Guardrails:
Design least-privilege agent permissions, FLS/sharing rules, prompt injection protections, and human-in-the-loop escalation paths.
Client & Team Leadership:
Lead technical discovery with European enterprise stakeholders and guide cross-functional engineering teams.
Requirements
Experience:
5+ years of hands-on Salesforce engineering and architecture experience.
Agentforce Track Record:
At least 2 meaningful production or advanced pre-production Agentforce implementations.
Location:
Based in Europe with strong alignment with European enterprise hours.
Core Tech Stack:
Deep proficiency in Salesforce Agentforce (Studio/DX), Apex, Flow, Data Cloud, REST APIs, Git, and CI/CD pipelines.
AI Competency:
Clear understanding of LLM architectures, context window management, function calling, and evaluation frameworks.
Preferred Certifications & Qualifications
Salesforce Certified Agentforce Specialist or Salesforce Architect Certifications.
Hands-on experience with MuleSoft, Python, TypeScript, LangGraph/LangChain, or MCP.
Exposure to major AI platforms (OpenAI, Anthropic, Gemini, Azure AI, or AWS Bedrock)
Location: Warsaw, Poland
Introduction
Dentons Business Services EMEA
is the operational backbone of Dentons, supporting the world's largest law firm in delivering exceptional service to clients across Europe, the Middle East, and Africa. As a crucial component of Dentons' global network, our EMEA business services team plays a key role in driving efficiency, innovation, and collaboration.
At Dentons Business Services EMEA, we are committed to excellence in supporting legal professionals with cutting-edge solutions. Our dynamic and diverse team collaborates seamlessly to provide a wide range of services, including finance, IT, human resources, marketing, and more. We pride ourselves on fostering a culture of continuous improvement and adaptability.
The Department
The Finance System Team plays a significant role in the operational success of Dentons. We look for focused, flexible individuals from a variety of backgrounds who are team players. Previous experience within the legal sector is not always essential and we seek people who relish opportunities to excel, grow and share in our success. We want to give everyone the opportunity to develop their potential fully and, therefore, provide support, training, and encouragement to members of staff at all levels.
The Role
Dentons is recruiting a
Finance Systems Analyst
on an 18-month fixed-term contract. The individual will have responsibility for providing technical support, system analysis and administration, and championing system best practice for the firm's financial systems which include Elite 3E, Intapp Time and Emburse expense management solutions. The firm has recently implemented a new Practice Management System after a multi-year programme and the role is instrumental in maximizing return on that investment.
The successful candidate must have:
4+ years' experience working within a Finance, IT or professional services technical support team
strong organizational skills with the ability to manage and prioritise multiple activities
Demonstrated the ability to work in a support model (technical and/or business) with a proven track record supporting business-critical applications
Skilled in identifying and implementing innovation and improvements in service delivery
Excellent skills in working with business, technical teams and external vendors and developing strong stakeholder relationships
Excellent documentation skills.
Requirements
Role Responsibilities
Daily monitoring and data integrity checks for the suite of financial systems
System administration and support for other financial systems including Elite 3E, Intapp Time, Emburse, Enable (ERM). Analysing data feeds in Integration Builder to ensure accurate system integration.
Handling missing time queries from both Legal Service and Business Service colleagues
Administering system access control and configuring system security
Proactively respond to queries and requests via email, telephone, and Fresh Helpdesk ITSM
Undertaking system Month End process as part of a rostered team
Support with the development of system and process enhancements and upgrades
Support with a variety of testing activity to ensure quality control
Liaising with software vendor and managing escalation of issues and working with them where required.
Effective and timely status reports to line management
Assist with process documentation and instructions to ensure compliance and best practice
Experience, Skills & Knowledge
Essential:
Strong Elite 3E experience and knowledge
Highly collaborative and able to work with teams and users across offices
Excellent communication skills; Meticulous attention to detail
Strong analytical skills
Excellent organisational and project management skills
Demonstrate 'can do' attitude to problem solving
Aptitude for absorbing information quickly
Willingness to develop new skills in wide range of technology
Good understanding of Microsoft Office suite
Customer focused, flexible, results driven and used to operating in a period of change
Able to thrive working under pressure and multi-task
Ability to work in global environment with wide variety of people and projects in a collective and collaborative manner
Desirable:
Experience of IT and Finance operations and strong knowledge and experience in IT/Finance practices
Experience with financial and system related audits
Advanced Microsoft Excel skills for data manipulation and management
Experience with Microsoft SQL (T-SQL) or OQL highly advantageous
Understanding of databases, servers and system infrastructure beneficial
Experience managing or being involved with full life cycle projects beneficial
Experience in post-system transition activities and support
Process design, implementation, and optimisation
Collaboration with developers and technical teams
Strong business partnering with stakeholders
Benefits
Private medical healthcare provided by Medicover
MultiSport card
Benefit Cafeteria system
Option to join a private insurance plan
An additional day off for your birthday
Tailored learning & development opportunities
Hybrid work model with a modern office in Warsaw city center
Location: United States; Seattle, United States
The Company
Our client is a modern survey programming company that helps consultants and investors get deep insights faster, so they can make great decisions. Our client is designed for authoring and launching time-critical market research surveys in record speeds so that their clients can quickly build N and have results sooner.
Our client's solution provides consultants and investors with access to quantitative survey insights on a daily basis. Their clients leverage their custom-built platform and survey engineering team to launch surveys, and gather insights, faster than their competition.
Our client's leadership team comes from the consulting and investment worlds, bringing a strong understanding of the challenges that come with conducting primary research on short timelines. This understanding informs the continued evolution of our client's solution to this day, an understanding that their team is ready and able to run through walls to help clients accomplish their goals. Our client's team is proud to be fully remote since their founding in 2016, with survey directors placed in over 40 cities worldwide.
The Role
As a Survey Director, you will play a pivotal role in driving our client's survey programming projects to success. This is a dynamic role that blends individual contribution, project management, client engagement, and account management. You will be at the forefront of ensuring that clients receive the highest quality survey programming services, from initial design to final data analysis.
The Responsibilities
Individual Contribution
: Leverage your Python programming skills to contribute directly to survey programming and data analysis tasks, ensuring accuracy and efficiency in every project.
Project Management
: Manage 3-5 simultaneous projects in a fast-paced environment, coordinating with external vendors to deliver respondents for surveys. Ensure timely and precise delivery of survey results, meeting or exceeding client expectations.
Client Engagement
:
Pre-launch: Guide clients on the optimal structure for their survey projects, helping them align survey design with their research objectives.
Launch: Work closely with clients during live survey creation, overseeing questionnaire development and key survey elements. Lead the quality assurance process to ensure all logic, conditionality, and programming elements are correctly implemented and functional.
Analytics: Analyze survey data and provide clients with actionable insights, helping them draw meaningful conclusions from their research.
Account Management
: Build and maintain strong relationships with clients, providing hands-on support for urgent changes or updates as needed. Develop and maintain client accounts, ensuring satisfaction and fostering ongoing partnerships.
Product Management
: Identify and flag patterns, optimize processes, and localize products based on client feedback and needs. Contribute to the continuous improvement of our client’s services.
Client Guidance
: Offer expert advisory on survey design and content, helping clients achieve their research goals effectively and efficiently.
Special Projects
: Engage in special projects or other tasks as required, contributing to innovation and the continuous enhancement of our client’s offerings.
Requirements
Bachelor’s degree in any field, preferably in engineering, information technology, business, economics, or international relations. Master's degree would be an advantage.
Understanding and/or experience with Python and/or JavaScript programming.
Proven client-facing experience with a customer-centric approach, strong teamwork skills, a sense of urgency, and a commitment to going above and beyond for clients.
Business acumen in private markets, including knowledge of private equity, due diligence processes, and the role of primary research in these areas.
Benefits
Innovation at Speed
: Be a part of a company that is setting new benchmarks in survey programming, working with cutting-edge technology and high-profile clients.
Global Impact
: Work with some of the most prestigious consulting firms and private equity clients across the globe.
Growth Opportunities
: Have the chance to expand your skills, manage complex projects, and contribute to the strategic growth of the company.
Collaborative Environment
: Join a team that values collaboration, innovation, and client satisfaction above all.
If you are a motivated, client-focused professional with a passion for delivering top-tier survey programming services, we encourage you to apply. Join our client and help them continue to redefine the industry standard.
Location: Seoul, South Korea
About Our Client
Our client is a
privately owned, profitable global software company
specializing in IT performance management solutions. Its platform helps organizations monitor, manage, and optimize the performance of their
applications, cloud environments, and IT infrastructure
from a single platform.
Headquartered in Singapore, the company has a global presence supported by international R&D teams and an established network of partners, including global system integrators, consultants, distributors, and resellers. The business has a strong track record of profitable growth and serves enterprise customers across major markets worldwide.
About The Role
Our client is looking for a
Sales Director to lead enterprise sales growth in South Korea
. This is an outside sales role with significant ownership of the Korean market.
The successful candidate will be responsible for generating and developing new business opportunities, managing the full sales cycle, and building strong relationships with enterprise customers and channel partners.
The role requires someone who is comfortable working independently, combining
marketing-generated leads with proactive business development, networking, and self-generated opportunities
.
Key Responsibilities
Drive new business development across the South Korean market, with a focus on enterprise customers.
Identify, qualify, and develop opportunities for IT performance management solutions.
Manage the
full sales cycle
, from prospecting and discovery through negotiation and deal closure.
Build and maintain a strong pipeline of qualified opportunities to consistently meet or exceed sales targets.
Generate opportunities through a combination of inbound leads, networking, cold outreach, existing relationships, and market research.
Understand customer environments and business challenges and position relevant solutions accordingly.
Deliver compelling product presentations and value propositions to prospective customers.
Manage objections and navigate complex B2B sales cycles through to successful closure.
Work closely with partners, consultants, distributors, and resellers to identify and develop new opportunities.
Maintain accurate pipeline, opportunity, and customer information in
Salesforce CRM
.
Conduct ongoing account and market research to identify target organizations and potential opportunities.
Maintain accurate sales forecasting and provide visibility into pipeline development and competitive activity.
Develop strong product knowledge and stay informed on customer needs, market trends, and competitive dynamics.
Requirements
10+ years of experience in enterprise software sales
, ideally selling IT infrastructure, monitoring, virtualization, or related technology solutions.
Proven track record of consistently
meeting or exceeding sales targets
.
Strong experience managing complex
B2B enterprise sales cycles
, from prospecting through closing.
Experience across areas such as
Application Performance Management (APM), IT monitoring, IT analytics, IT Service Management, enterprise applications, or infrastructure software
.
Experience selling into enterprise organizations and/or service providers.
SAP-related sales experience is a plus.
Strong prospecting and new business development capabilities, with a demonstrated
hunter mentality
.
Excellent consultative selling, presentation, negotiation, and stakeholder management skills.
Ability to understand complex customer environments and translate business challenges into relevant technology solutions.
Highly independent and self-motivated, with the ability to operate effectively with limited supervision.
Comfortable working in a fast-paced environment with a high degree of ownership and autonomy.
Strong communication, organization, prioritization, and time management skills.
Experience using
Salesforce or similar CRM platforms
.
Comfortable conducting both virtual and face-to-face meetings with customers.
Bachelor's degree or equivalent experience.
УдалённоSerbia
УдалённоRomania
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London, UK; San Francisco, CA; Excellent communication skills, with the ability to build consensus across teams and time zones; Preference will be given to candidates based in NY, SEA, SF or the Bay Area given the current location of team
San Francisco, CA | New York City, NY | Seattle, WA; Preference will be given to candidates based in NY, SEA, SF or the Bay Area given the current location of team
seniorHong Kong; Nex employees may be expected to collaborate with colleagues across different time zones; Time Zones: Will collaborate across time zones with clearly defined overlap windows
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