4,911 AI Testing jobs in the United States
Principal Engineering Analyst, Responsible AI Testing
Posted 6 days ago
Job Viewed
Job Description
_corporate_fare_ Google _place_ Washington D.C., DC, USA
**Advanced**
Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in domain.
**Minimum qualifications:**
+ Bachelor's degree or equivalent practical experience.
+ 7 years of experience in data analysis, including identifying trends, generating summary statistics, and drawing insights from quantitative and qualitative data.
+ 7 years of experience managing projects and defining project scope, goals, and deliverables.
**Preferred qualifications:**
+ Master's degree in a quantitative discipline.
+ Experience in SQL, building dashboards, data collection/transformation, visualization/dashboards, or experience in a scripting/programming language (e.g. Python).
+ Experience with modeling, experimentation, and causal inference.
+ Experience in Trust and Safety, AI Risk, or policy.
+ Excellent written and verbal communication and presentation skills and the ability to influence cross-functionally at various levels.
+ Excellent problem-solving and critical thinking skills with attention to detail in an ever-changing environment.
**About the job**
Trust and Safety team members are tasked with identifying and taking on the problems that challenge the safety and integrity of our products. In this role, you will work globally and cross-functionally with Google engineers and product managers to identify and fight abuse and fraud cases at Google speed. You will promote trust in Google and ensure the highest levels of user safety.
Google is committed to building products that are both innovative and safe for our users. Our Trust and Safety Responsible AI Testing team is at the heart of this effort, protecting the integrity of our platforms by delivering actionable and objective content abuse insights.
Within the RAI Testing Sustainability team, we're driving a transformation in how we approach AI testing. We partner closely across Trust and Safety, product, and engineering teams to integrate AI and automation, turning AI insights into action.
At Google we work hard to earn our users' trust every day. Trust & Safety is Google's team of abuse fighting and user trust experts working daily to make the internet a safer place. We partner with teams across Google to deliver bold solutions in abuse areas such as malware, spam and account hijacking. A team of Analysts, Policy Specialists, Engineers, and Program Managers, we work to reduce risk and fight abuse across all of Google's products, protecting our users, advertisers, and publishers across the globe in over 40 languages.
The US base salary range for this full-time position is $174,000-$258,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more aboutbenefits at Google ( .
**Responsibilities**
+ Leverage SQL and Python, building robust and scalable scripts and workflows automating data collection, enrichment, and delivery, maximizing the team's impact.
+ Be the bridge between technical and non-technical teams, translating complex Trust and Safety Intelligence needs into clear, actionable requirements for data solutions. Work autonomously, identifying and problem-solving while collaborating effectively within a team to develop comprehensive solutions.
+ Standardize processes and methodologies for data analysis that can be applied across topics, ensuring consistency and efficiency in generating valuable insights.
+ Transform raw data into compelling visualizations and reports that clearly communicate key findings and actionable recommendations to stakeholders across the organization.
+ Work with sensitive content or situations. Be exposed to graphic, controversial, or upsetting topics or content.
Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./privacy-policy) .
Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See alsoGoogle's EEO Policy ( ,Know your rights: workplace discrimination is illegal ( ,Belonging at Google ( , andHow we hire ( .
If you have a need that requires accommodation, please let us know by completing ourAccommodations for Applicants form ( .
Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also and If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form:
Principal QA Engineer- AI Testing (Chicago, IL)
Posted 1 day ago
Job Viewed
Job Description
**Bunzl Distribution** is seeking a **Technical QA Manager** with a strong data engineering mindset to lead quality across our Business-to-business (B2B) eCommerce and distribution platforms. In this role, you will **build our Quality Assurance capability from the ground up** - shifting from consultant-reliant testing to an **AI-powered, developer-integrated, automation-first QA practice** .
The ideal candidate is a **hands-on builder** who can co-author unit tests, use **GitHub Copilot Pro+** , implement **AI-based testing tools** , and drive **performance and functional automation** in a fast-paced environment. They will be embedded directly with the engineering team, participating in standups, sprint planning, and code reviews. Success in this role means taking ownership of quality at the source, writing tests alongside developers, introducing reusable QA libraries, and ensuring performance, stability, and scalability are never compromised. This is a role for someone who treats AI as a coding partner, builds tools to eliminate manual QA, and becomes a technical voice in shaping testable architectures.
This is a hybrid role out of our **Chicago, IL** (Morton Grove) office. Expectation is to be in the office 3-4 days per week.
**_Responsibilities:_**
+ Define and implement a scalable test strategy and automation architecture across unit, API, UI, and performance layers.
+ Collaborate with developers to design testable systems and write unit tests using TDD practices.
+ Use AI tools like GitHub Copilot Pro+, CodiumAI, or Diffblue to generate, refactor, and improve test coverage and assertions.
+ Develop and maintain reusable test frameworks for both desktop and mobile applications.
+ Execute performance and load testing using JMeter, k6, or AI-enhanced tools such as Tricentis NeoLoad, LoadNinja, or Predator.
+ Analyze business and technical requirements to create and maintain test cases, test plans, and test reports.
+ Build internal tools or libraries to reduce repetitive work and increase QA reusability and intelligence.
+ Track and manage issues using bug tracking tools and report on test progress through weekly QA metrics.
+ Lead QA efforts across multiple projects/releases concurrently, including integration with AS400 or ERP systems.
+ Provide training and mentorship on testing best practices and AI/automation standards to other team members.
+ Raise red flags early and provide strategic QA input into project risk, quality, and release readiness.
**_Requirements:_**
+ High school diploma or GED equivalent required
+ Bachelor's degree in computer science or related field
+ 8+ years of QA or SDET (software development, engineer and test) experience with strong **automation and coding skills**
+ Solid programming experience in **JavaScript, Python, or Java** (with knowledge of .NET a plus)
+ Hands-on experience in **TDD (test driven development)** , **unit testing frameworks** (e.g., Jest, JUnit, PyTest), and co-authoring tests with developers
+ Experience with **GitHub Copilot Pro+** , CodiumAI, or similar AI test coding assistants
+ Test automation experience using **Cypress, Playwright, Selenium/WebDriver** , Postman, and RestAssured
+ Experience in **performance testing** using **JMeter** , **k6** , or cloud-based/AI performance testing platforms
+ Deep understanding of **B2B eCommerce systems** , distribution logic, and ERP integration (e.g., AS400)
+ Strong familiarity with **CI/CD pipelines** (GitHub Actions, Azure DevOps, GitLab CI)
+ Knowledge of test data design, XML/JSON, and SQL for backend validation.
**_Preferred Skills:_**
+ Built internal testing tools or reusable automation libraries
+ Experience in **AI/ML model validation or prompt testing**
+ Cloud-native testing exposure (AWS, Azure, GCP)
+ Performance observability and root cause diagnostics
Bunzl Salary range for this role is $100,000- $30,000/year based on experience, education and location.
**What are you waiting for? A new career awaits you with endless opportunities.**
Bunzl is a global leader in the Cleaning & Hygiene, Food Processing, Grocery, Health Care, Non-Food Retail, and Safety industries. We have grown both organically and through acquisitions to sales in excess of 10 billion. Bunzl North America is headquartered in St. Louis, Missouri. Bunzl North America owns and operates more than 100 warehouses and serves all 50 states, Puerto Rico, Canada and parts of the Caribbean and Mexico. With more than 5,000 employees and 400,000 plus supplies, Bunzl is regarded as a leading supplier in North America.
_Bunzl Distribution offers competitive salaries, a comfortable work environment, and a full range of benefits including a 401k with a company_ _match._
_Bunzl Distribution has a tradition of commitment to equal employment opportunity. It is the established policy to attract and retain the best qualified people without regard to race, color, religion, national origin, sex/gender (including pregnancy), sexual orientation, age, disability or veteran status as provided by law._
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws.
For further information, please review the Know Your Rights ( notice from the Department of Labor.
Engineering Analyst, Trust and Safety Novel AI Testing
Posted 1 day ago
Job Viewed
Job Description
_corporate_fare_ Google _place_ Mountain View, CA, USA
**Advanced**
Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in domain.
**Minimum qualifications:**
+ Bachelor's degree or equivalent practical experience.
+ 7 years of experience in managing projects and defining project scope, goals, and deliverables.
+ 7 years of experience in data analysis or data science, including identifying trends, generating summary statistics, and drawing insights from quantitative and qualitative data.
+ 5 years of experience in data analysis with experience in SQL or Python etc.
**Preferred qualifications:**
+ Master's or PhD in a relevant quantitative or engineering field.
+ 5 years of experience working in a Trust and Safety Operations, data analytics, cybersecurity, or other relevant environment.
+ Experience working with Large Language Models, LLM Operations, prompt engineering, pre-training, and fine-tuning.
+ Experience in designing and conducting experiments or quantitative research, in a technology or AI context.
+ Experience in AI systems, machine learning, and their potential risks.
+ Strong technical competency with a data-driven investigative approach to solve complex tests, including demonstrable proficiency in data manipulation, analysis, and automation using languages like Python and SQL.
**About the job**
As an Engineering Analyst within the Trust and Safety Responsible AI Testing Team, you will be part of a global team that drives One Google solutions for industry-leading responsible AI applications.
Your role will focus particularly on the broad spectrum safety, and neutrality risks and will prioritize close partnerships with colleagues in Google Deep Mind (GDM) to design and develop solutions to further Google's ability to prevent abuse on GDM base models.
You will blend your deep domain expertise in safety policy and GenAI testing processes with strong technical acumen in experimental design, data science, and engineering experience to drive creative and ambitious solutions to tests, with the ultimate impact of improving user safety in GenAI products. You will demonstrate an ability to thrive in a fluid, dynamic research and product development environment.
At Google we work hard to earn our users' trust every day. Trust & Safety is Google's team of abuse fighting and user trust experts working daily to make the internet a safer place. We partner with teams across Google to deliver bold solutions in abuse areas such as malware, spam and account hijacking. A team of Analysts, Policy Specialists, Engineers, and Program Managers, we work to reduce risk and fight abuse across all of Google's products, protecting our users, advertisers, and publishers across the globe in over 40 languages.
The US base salary range for this full-time position is $174,000-$258,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more aboutbenefits at Google ( .
**Responsibilities**
+ Co-locate with Google DeepMind, you will drive structured and unstructured testing of novel model modalities and capabilities. Lead platform and tooling development to bridge constraints and scale adversarial testing. Design engineering solutions, prompt generation strategies, evaluation tooling, and leveraging LLMs for analysis.
+ Define testing and safety standards, working with cross-functional colleagues, policy and engineering, to ensure they are met. Perform analyses and drive insights to develop model-level and product-level safety mitigations.
+ Lead and influence cross-functional teams to implement safety initiatives. Act as an advisor to executive leadership on complex safety issues.
+ Represent Google's AI safety efforts in external forums and collaborations, contributing to industry-wide best practices. Mentor analysts, fostering a culture of excellence and acting as a subject matter expert on adversarial techniques.
+ Work with graphic, controversial, or upsetting content.
Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./privacy-policy) .
Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See alsoGoogle's EEO Policy ( ,Know your rights: workplace discrimination is illegal ( ,Belonging at Google ( , andHow we hire ( .
If you have a need that requires accommodation, please let us know by completing ourAccommodations for Applicants form ( .
Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also and If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form:
Research Lead - AI Cyber Testing & Evaluation
Posted 11 days ago
Job Viewed
Job Description
The Research Lead AI Cyber Testing & Evaluation will serve as a senior technical leader, directing a comprehensive research portfolio focused on assessing the offensive cyber capabilities of frontier AI models.
This role involves managing significant research budgets and personnel, overseeing complex technical and policy analysis projects, and leading multidisciplinary teams of policy researchers, engineers, and scientists. The team will build systems to evaluate AI model performance across the full attack lifecycle, including resource development, initial access, discovery, lateral movement, and defense evasion.
Projects may include developing benchmarks for fully autonomous operations using scaffolding and tools, as well as uplift of both novice and expert humans. Benchmarks may involve capture-the-flag (CTF) challenges, frameworks for assessing reasoning over attack graphs and multi-stage operations, evaluations of stealth and defense evasion capabilities, and assessments of time-sensitive operations at machine speed.
Many evaluations will be commissioned by government agencies, with results shaping responsible AI policy worldwide. Findings will be communicated through detailed technical analyses, evaluation frameworks, and quick-turnaround policy briefs, directly informing recommendations for senior policymakers, regulators, the intelligence community, other governments, and industry leaders.
This position is structured as a focused two-year appointment to drive urgent and ambitious change in this rapidly evolving field. The appointment may be renewed for an additional year, with potential opportunities for longer-term employment thereafter.
QualificationsRequired:
-
6+ years of technical experience in security engineering, software engineering, firmware engineering, hardware engineering, or related fields.
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6+ years of technical management experience, including leading cross-functional teams, managing project budgets, and mentoring/developing team members.
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Demonstrated ability to successfully lead complex projects to completion.
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Proficiency in Python, Java, C/C++, or other popular programming languages.
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Experience with red team operations or offensive cyber capabilities development.
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Ability to develop rigorous threat models and identify potential system vulnerabilities.
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Strong verbal and written communication skills.
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Ability to work effectively in a collaborative, multidisciplinary environment.
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Proficiency with Microsoft Office Suite.
Preferred:
-
Graduate of CNODP, RIOT, FORGE, or equivalent programs/experience.
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Understanding of advanced persistent threat (APT) tactics, techniques, and procedures (TTPs), and experience defending against them.
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Ability to think creatively about offensive/defensive strategies beyond compliance-driven approaches.
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Experience in AI research, ML model training, or deployment.
This position is open at the specialist or expert level:
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PhD in Computer Science, Computer Engineering, Electrical Engineering, Cybersecurity, Information Security, Information Technology, Mathematics, Applied Mathematics, Physics, Applied Physics, Engineering Physics, Artificial Intelligence, Machine Learning, Engineering and Public Policy, Technology and Policy, National Security Policy, Policy Analysis, Political Science, International Relations, or similar, with at least 3 years of relevant experience .
OR
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Masters degree in the above fields with at least 6 years of relevant experience .
OR
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Bachelors degree in the above fields with at least 8 years of relevant experience .
Advanced degrees (Masters or PhD) are preferred.
Security Clearance-
Ability to obtain and maintain a U.S. government clearance is preferred but not required.
remote software testing
Posted 9 days ago
Job Viewed
Job Description
We are looking for a detail-oriented Data Entry Processor to join our remote team. In this role, you will be responsible for accurately inputting, updating, and maintaining data across multiple systems. The ideal candidate is organized, reliable, and comfortable working independently in a fast-paced environment.
⸻
Key Responsibilities
• Enter, verify, and update information into company databases and systems.
• Review data for accuracy and completeness before submission.
• Correct errors and inconsistencies in data as needed.
• Maintain confidentiality and security of sensitive information.
• Generate reports and provide updates to supervisors as required.
• Meet deadlines for daily, weekly, and monthly tasks.
• Collaborate with other departments to ensure accurate data flow.
⸻
Qualifications
• Proven experience in data entry, administration, or a similar role.
• Strong typing skills with high accuracy.
• Proficiency with MS Office (Excel, Word) and/or Google Workspace.
• Familiarity with database systems or CRM software (preferred but not required).
• Excellent attention to detail and organizational skills.
• Ability to work independently and manage time effectively.
• High school diploma or equivalent (additional training a plus).
Company Details
remote software testing
Posted 19 days ago
Job Viewed
Job Description
We are looking for a detail-oriented Remote Software Tester to join our QA team. As a tester, you will play a key role in ensuring our applications meet the highest standards of quality and reliability. You will execute manual and/or automated tests, identify and report issues, and collaborate closely with developers and product managers to deliver exceptional user experiences.
⸻
Key Responsibilities
• Review and analyze system specifications and requirements.
• Create, maintain, and execute manual and automated test cases.
• Identify, document, and track software defects using bug tracking tools (e.g., Jira, Trello).
• Perform regression, functional, and usability testing.
• Verify fixes and ensure high-quality releases.
• Work closely with developers and project managers in an agile environment.
• Provide clear feedback and documentation of testing results.
⸻
Qualifications
• Proven experience as a Software Tester, QA Tester, or similar role.
• Understanding of software testing methodologies and processes.
• Hands-on experience with test case management and bug tracking tools.
• Strong problem-solving skills and attention to detail.
• Ability to work independently and manage time effectively in a remote setting.
• Good written and verbal communication skills.
Company Details
remote software testing
Posted 26 days ago
Job Viewed
Job Description
We are looking for a detail-oriented Remote Software Tester to join our QA team. As a tester, you will play a key role in ensuring our applications meet the highest standards of quality and reliability. You will execute manual and/or automated tests, identify and report issues, and collaborate closely with developers and product managers to deliver exceptional user experiences.
⸻
Key Responsibilities
• Review and analyze system specifications and requirements.
• Create, maintain, and execute manual and automated test cases.
• Identify, document, and track software defects using bug tracking tools (e.g., Jira, Trello).
• Perform regression, functional, and usability testing.
• Verify fixes and ensure high-quality releases.
• Work closely with developers and project managers in an agile environment.
• Provide clear feedback and documentation of testing results.
⸻
Qualifications
• Proven experience as a Software Tester, QA Tester, or similar role.
• Understanding of software testing methodologies and processes.
• Hands-on experience with test case management and bug tracking tools.
• Strong problem-solving skills and attention to detail.
• Ability to work independently and manage time effectively in a remote setting.
• Good written and verbal communication skills.
Company Details
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Quality Control Manager (Software Testing)
Posted 15 days ago
Job Viewed
Job Description
SOSi is seeking a highly qualified **Quality Control Manager** **(Software Testing)** to join our team in support of our US Army Government customer. The Quality Control Manager will be responsible for managing the quality program of an application development project supporting the ARIMS family of applications.
**Essential Job Duties**
+ Perform Quality Control reviews and tests on Army IT projects to confirm compliance with government requirements.
+ Conduct thorough system testing for Army web-based applications, especially those developed in ASP.NET with SQL databases.
+ Record and report results from application tests, monitor systems readiness, and develop Army IT testing framework and report documentation.
+ Develop and maintain a comprehensive testing framework and complete detailed report documentation.
+ Assist with user acceptance testing, ensuring that the end-product meets the end user's needs.
+ Monitor system readiness and report on application test results to management and government stakeholders.
+ Collaborate with project teams to integrate quality management practices throughout the project lifecycle.
+ Follow all applicable agency policies, procedures, and regulations.
+ Provide general guidance to lower-leveldevelopers and engineers.
**Minimum Requirements**
+ Bachelor's degree or postgraduate degree in engineering, scientific, technical, or business management disciplines from an accredited college or university.
+ A minimum of 10 years of experience in a field of specialized expertise, including Quality Control within Army or DoD programs/projects.
+ An active in scope Secret security clearance.
+ Experience performing Quality Control reviews/tests of Army IT projects.
+ Experience developing corrective action plans following tests or audits.
**Preferred Qualifications**
+ Certifications in Quality Management or Testing such as Certified Manager of Quality/Organizational Excellence (CMQ/OE) or Certified Software Tester (CSTE).
+ Advanced training or certifications in project management and process improvement methodologies such as Lean Six Sigma.
+ Prior quality testing experiences within development operations (DevOps)environment.
+ Prior experience leading quality assurance teams in defense contracting environments.
+ Strong knowledge of software quality assurance principles and practices.
+ Proficiency in creating and managing testing frameworks and documentation.
+ Excellent analytical and problem-solving skills.
+ Strong communication skills to effectively collaborate with various stakeholders.
+ Ability to lead and mentor teams in quality control initiatives.
+ Commitment to upholding the highest quality standards in all project deliverables.
**Work Environment**
+ Normal office conditions.
+ Core hours of operation are Monday through Friday, 0600 - 1700.
+ On government site within Ft. Belvoir, VA.
**Working at SOSi**
All interested individuals will receive consideration and will not be discriminated against for any reason.
SOSi is an equal employment opportunity employer and affirmative action employer. All interested individuals will receive consideration and will not be discriminated against on the basis of race, color, religion, sex, national origin, disability, age, sexual orientation, gender identity, genetic information, or protected veteran status. SOSi takes affirmative action in support of its policy to advance diversity and inclusion of individuals who are minorities, women, protected veterans, and individuals with disabilities.
IBM Associate Partner - SAP AI Enabled Testing-as-a-Service Architect
Posted 4 days ago
Job Viewed
Job Description
Introduction
We are looking for a seasoned IBM Associate Partner - SAP AI-Enabled Testing-as-a-Service Architect to join our team and lead the practice in developing and articulating our capabilities in SAP AI-driven testing services. The ideal candidate will possess extensive knowledge of SAP solutions, AI technologies, and Testing-as-a-Service (TaaS) methodologies, enabling us to deliver innovative, efficient, and scalable testing solutions to our clients
Your role and responsibilities
We are looking for a seasoned IBM Associate Partner - SAP AI-Enabled Testing-as-a-Service Architect to join our team and lead the practice in developing and articulating our capabilities in SAP AI-driven testing services. The ideal candidate will possess extensive knowledge of SAP solutions, AI technologies, and Testing-as-a-Service (TaaS) methodologies, enabling us to deliver innovative, efficient, and scalable testing solutions to our clients.
Responsibilities:
AI and Testing Expertise: Demonstrate deep understanding of SAP solutions and AI technologies, particularly in the context of testing, automation, and quality assurance. Lead the practice in developing and refining our AI-enabled TaaS capabilities for SAP landscapes.
Solution Architecture: Design and architect comprehensive AI-driven testing solutions for SAP environments, leveraging tools like Tricentis Tosca, Worksoft, SAP Custom Ops, and other relevant technologies. Ensure that solutions are scalable, adaptable, and aligned with industry best practices.
Client Engagement: Serve as a subject matter expert for clients, guiding them through the process of adopting and implementing AI-enabled TaaS for SAP. Translate technical concepts into tangible business value, fostering strong relationships with key stakeholders.
Partnership Enhancement: Collaborate closely with IBM and SAP teams to ensure alignment with strategic objectives, participate in joint initiatives, and contribute to the co-creation of innovative AI-driven testing solutions and services.
Differentiation Strategy: Identify and amplify our unique value proposition for SAP AI-enabled TaaS, crafting compelling go-to-market messages that resonate with target clients and set us apart from competitors.
Pre-sales and Proof of Concept (PoC) Support: Assist in creating PoCs, demos, and proof statements to showcase the capabilities of AI-enabled TaaS for SAP. Collaborate with sales and presales teams to win new business and expand existing client relationships.
Thought Leadership: Contribute to thought leadership activities, such as speaking at events, publishing articles, and engaging with the broader SAP and IBM communities, establishing our firm as a trusted advisor in the SAP AI-driven testing space.
Incentive Maximization: Stay updated on incentive programs and work diligently to qualify for and maximize financial rewards associated with successful SAP AI-enabled TaaS implementations and partnership milestones.
Market Awareness: Maintain a thorough understanding of SAP and IBM market dynamics, competitive landscapes, and emerging trends to advise clients on best practices and anticipate future needs.
Cross-Functional Collaboration: Work closely with internal teams, including solution architects, developers, project managers, and sales, to ensure seamless execution of SAP AI-enabled TaaS strategies, projects, and initiatives.
Team Development and Mentorship: Mentor junior architects and team members, sharing knowledge, fostering growth, and promoting a culture of continuous learning and improvement.
"Hybrid: Your work location of City, State was assigned based on business need and currently your role designated as a hybrid role. Hybrid roles are expected to perform their primary duties from a combination of IBM location, client sites or work at home. The required number of days to be in the office is to be determined by your management team. Any changes to this work arrangement must be preapproved by your manager before any changes are made. This Job can be performed from anywhere in the US."
Required technical and professional expertise
Education and Certifications: Bachelor's degree in Computer Science, Information Systems, or a related field. Relevant certifications, such as SAP Certified Application Associate or SAP Certified Technology Associate, are preferred.
Technical Expertise:
-
Proven experience in SAP solutions, with a strong focus on testing, automation, and quality assurance.
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Deep understanding of AI technologies, machine learning, and their application in testing and quality assurance.
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Expertise in AI-driven testing tools, such as Tricentis Tosca, and SAP-specific testing solutions.
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Familiarity with Testing-as-a-Service (TaaS) methodologies and best practices.
Professional Skills:
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Excellent communication and presentation skills, with the ability to articulate complex technical concepts to diverse audiences.
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Strong project management and stakeholder engagement skills.
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Proven ability to lead technical discussions, drive consensus, and resolve complex design issues.
Industry Experience: Minimum of 10 years of experience in SAP testing, architecture, or implementation roles, preferably with a focus on AI-driven testing and TaaS.
Leadership Potential: Demonstrated ability to grow into a senior leadership role, with a track record of mentoring junior team members, inspiring collaboration, and driving results.
Cultural Fit: Align with our company values, embrace a customer-obsessed culture, and maintain a strong commitment to innovation and excellence.
Note: This job description is intended to provide a high-level overview of the role, and specific duties may vary based on business needs and priorities.
Preferred technical and professional experience
Hiring manager and Recruiter should collaborate to create the relevant verbiage.
IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
IBM Associate Partner - SAP AI Enabled Testing-as-a-Service Architect
Posted 4 days ago
Job Viewed
Job Description
Introduction
We are looking for a seasoned IBM Associate Partner - SAP AI-Enabled Testing-as-a-Service Architect to join our team and lead the practice in developing and articulating our capabilities in SAP AI-driven testing services. The ideal candidate will possess extensive knowledge of SAP solutions, AI technologies, and Testing-as-a-Service (TaaS) methodologies, enabling us to deliver innovative, efficient, and scalable testing solutions to our clients
Your role and responsibilities
We are looking for a seasoned IBM Associate Partner - SAP AI-Enabled Testing-as-a-Service Architect to join our team and lead the practice in developing and articulating our capabilities in SAP AI-driven testing services. The ideal candidate will possess extensive knowledge of SAP solutions, AI technologies, and Testing-as-a-Service (TaaS) methodologies, enabling us to deliver innovative, efficient, and scalable testing solutions to our clients.
Responsibilities:
AI and Testing Expertise: Demonstrate deep understanding of SAP solutions and AI technologies, particularly in the context of testing, automation, and quality assurance. Lead the practice in developing and refining our AI-enabled TaaS capabilities for SAP landscapes.
Solution Architecture: Design and architect comprehensive AI-driven testing solutions for SAP environments, leveraging tools like Tricentis Tosca, Worksoft, SAP Custom Ops, and other relevant technologies. Ensure that solutions are scalable, adaptable, and aligned with industry best practices.
Client Engagement: Serve as a subject matter expert for clients, guiding them through the process of adopting and implementing AI-enabled TaaS for SAP. Translate technical concepts into tangible business value, fostering strong relationships with key stakeholders.
Partnership Enhancement: Collaborate closely with IBM and SAP teams to ensure alignment with strategic objectives, participate in joint initiatives, and contribute to the co-creation of innovative AI-driven testing solutions and services.
Differentiation Strategy: Identify and amplify our unique value proposition for SAP AI-enabled TaaS, crafting compelling go-to-market messages that resonate with target clients and set us apart from competitors.
Pre-sales and Proof of Concept (PoC) Support: Assist in creating PoCs, demos, and proof statements to showcase the capabilities of AI-enabled TaaS for SAP. Collaborate with sales and presales teams to win new business and expand existing client relationships.
Thought Leadership: Contribute to thought leadership activities, such as speaking at events, publishing articles, and engaging with the broader SAP and IBM communities, establishing our firm as a trusted advisor in the SAP AI-driven testing space.
Incentive Maximization: Stay updated on incentive programs and work diligently to qualify for and maximize financial rewards associated with successful SAP AI-enabled TaaS implementations and partnership milestones.
Market Awareness: Maintain a thorough understanding of SAP and IBM market dynamics, competitive landscapes, and emerging trends to advise clients on best practices and anticipate future needs.
Cross-Functional Collaboration: Work closely with internal teams, including solution architects, developers, project managers, and sales, to ensure seamless execution of SAP AI-enabled TaaS strategies, projects, and initiatives.
Team Development and Mentorship: Mentor junior architects and team members, sharing knowledge, fostering growth, and promoting a culture of continuous learning and improvement.
"Hybrid: Your work location of City, State was assigned based on business need and currently your role designated as a hybrid role. Hybrid roles are expected to perform their primary duties from a combination of IBM location, client sites or work at home. The required number of days to be in the office is to be determined by your management team. Any changes to this work arrangement must be preapproved by your manager before any changes are made. This Job can be performed from anywhere in the US."
Required technical and professional expertise
Education and Certifications: Bachelor's degree in Computer Science, Information Systems, or a related field. Relevant certifications, such as SAP Certified Application Associate or SAP Certified Technology Associate, are preferred.
Technical Expertise:
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Proven experience in SAP solutions, with a strong focus on testing, automation, and quality assurance.
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Deep understanding of AI technologies, machine learning, and their application in testing and quality assurance.
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Expertise in AI-driven testing tools, such as Tricentis Tosca, and SAP-specific testing solutions.
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Familiarity with Testing-as-a-Service (TaaS) methodologies and best practices.
Professional Skills:
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Excellent communication and presentation skills, with the ability to articulate complex technical concepts to diverse audiences.
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Strong project management and stakeholder engagement skills.
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Proven ability to lead technical discussions, drive consensus, and resolve complex design issues.
Industry Experience: Minimum of 10 years of experience in SAP testing, architecture, or implementation roles, preferably with a focus on AI-driven testing and TaaS.
Leadership Potential: Demonstrated ability to grow into a senior leadership role, with a track record of mentoring junior team members, inspiring collaboration, and driving results.
Cultural Fit: Align with our company values, embrace a customer-obsessed culture, and maintain a strong commitment to innovation and excellence.
Note: This job description is intended to provide a high-level overview of the role, and specific duties may vary based on business needs and priorities.
Preferred technical and professional experience
Hiring manager and Recruiter should collaborate to create the relevant verbiage.
IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.