Join our retail team and help create an outstanding customer experience by understanding each customer's needs, recommending the right products and services, and guiding them through available purchase options. Key Responsibilities Deliver exceptional customer service by identifying customer needs and providing personalized recommendations. Build strong product knowledge and stay up to date with the latest products, services, and sales processes. Educate customers about available products, services, accessories, and purchasing options. Support teammates by sharing knowledge and contributing to a collaborative store environment. Maintain accuracy in transactions, inventory handling, and store procedures. Assist in different areas of the store whenever needed to ensure smooth daily operations. Create a welcoming and inclusive environment where every customer and colleague feels respected. Demonstrate professionalism, integrity, and a commitment to diversity and inclusion in all interactions. Minimum Qualifications Availability to work flexible schedules based on business needs, including evenings, weekends, and public holidays. Reliable attendance and punctuality. Excellent customer service and communication skills. Ability to work in accordance with company policies and local regulations. Preferred Qualifications The ideal candidate is able to: Demonstrate strong knowledge of consumer technology products and digital services. Recommend personalized solutions based on customer needs. Communicate clearly and confidently with customers from diverse backgrounds. Thrive in a fast-paced retail environment while assisting multiple customers. Collaborate effectively as part of a team and share responsibility for store success. Continuously learn new products, services, and industry trends. Handle sensitive or confidential information with professionalism and discretion. Adapt quickly to changing priorities and business needs. Compensation & Benefits We offer a competitive compensation package based on experience, qualifications, skills, and location. Eligible employees may receive: Competitive base salary Performance-based bonuses or commission opportunities (where applicable) Employee stock purchase and ownership programs Comprehensive medical, dental, and vision insurance Retirement savings plans Employee discounts on products and services Paid time off and company holidays Professional development and career growth opportunities Education assistance and tuition reimbursement for eligible programs Relocation assistance for qualifying positions Benefits and compensation may vary depending on location, employment status, and eligibility requirements. Equal Opportunity Employer We are committed to creating an inclusive workplace where everyone has the opportunity to succeed. Employment decisions are made based on qualifications, merit, and business needs without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic under applicable law. Accessibility We are dedicated to providing an accessible workplace and recruitment process for all applicants. Reasonable accommodations are available for qualified individuals throughout the hiring process and employment, in accordance with applicable laws.

The Visual Storytelling & Messaging Expert serves as the creative engine for executive leadership, bridging the gap between complex technical product narratives and high-impact visual delivery. You are the storyteller of the key messages, transforming abstract strategic initiatives into clear, compelling, and visually resonant narratives for sales, customers, and industry. Visual Narrative Strategy: Translate vision and complex technical roadmaps and messages into cohesive, audience-specific visual experiences. Standardize visual delivery by creating and managing a reusable asset and content library. Partner with your leadership, Executive Communications and Marketing to drive key narratives delivered via speaking engagements and easy to follow assets, ensuring content resonates for internal and external audiences. Streamline creative workflows with leadership to ensure 90%+ on-time delivery and on target messaging for presentations and assets. Messaging Architecture & Stewardship: Serve as the primary steward for messaging, ensuring visual assets and accompanying narratives are in lockstep regarding tone, values, and clarity. Develop and maintain a "Visual Messaging Playbook" that defines how we visualize key concepts across all enablement collateral. Simplify messaging to drive clarity and alignment on company and business organization direction. Executive Creative Collaboration: Act as the strategic creative partner, collaborating across teams as a "whiteboard partner" for rapid brainstorming sessions. Be expert in designing high quality presentations, assets, and imagery; while being able to create art direction for designers or creative agencies when appropriate/ Establish and manage feedback loops that reduce revision cycles Core Competencies & Traits: The "Double-Threat" Skillset: Mastery of both the message (copywriting, narrative arc) and the medium (high-fidelity design in Google Slides, Adobe Creative Suite, Figma). Strong with words and expert and expert at design. Executive Agility: High comfort level with ambiguity and rapid timeline shifts. You thrive when asked to "whiteboard" a concept 24 hours before a major stage event. Translational Intelligence: The ability to take a deeply technical "product-first" slide and pivot it to a "value-first" customer narrative without losing accuracy. Visual Facilitation: Adept at whiteboard and extracting ideas from brainstorming sessions to clear, simple narratives and strong visuals. Minimum Requirements: 10 -15 years experience in messaging, storytelling for software, platform or services business 8+ years in creative and visual design Expert in Google Slides, Adobe Creative Suite, Figma Excellent experience in video editing Strong Relationship builder: Proven track record of building trust across teams to surface Customer Success stories on our latest initiatives In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at the following link: https://www.salesforcebenefits.com .

We Are: Accenture’s SAP practice, and we live to see how this can transform the way we live and work. We bring reinvention to life using design thinking, modern delivery methodologies, embedding AI into the way we deliver and into business processes. Additionally, the Life Sciences Industry is going through remarkable levels of transformation with new therapies that improve lives of patients, new implantable devices that improve health and wellness and much more global supply chains. SAP technologies power these organizations with modern cloud-based and AI-enabled solutions, and Accenture is the undisputed market leader in this industry. We are continuously expanding our SAP team with advisory skills to continue to drive transformation at scale for our clients. You Are: You have a passion for storytelling and for originating, selling and delivering SAP-based Finance Transformation projects that make a positive impact in your clients’ business? Are you inspired by working with the best companies in their industries? Want a role that provides you with a sense of purpose and satisfaction? Then join Accenture and build a rewarding career improving the way the world works and lives, as you help clients innovate with leading-edge SAP and Accenture Finance solutions and technologies on some of the most innovative projects in the world Thrive in our highly collaborative, digitally-driven and innovation-led environment. Nurture your talent for thoughtful and game changing solutions in our inclusive culture that values diversity of ideas, experiences and backgrounds. You are a confident Manager who spots and stays ahead of the SAP platform , industry and Finance trends and knows how to translate client goals into clear and actionable outcomes that everyone can get behind. You know how to fully utilize the capabilities of various SAP platforms to drive business value, transform end-to-end functions and drive leading practices for your clients in markets all over the globe. The more complex their challenges, the more excited you are about leading the charge to solve them. The Work: Team with clients on their SAP functional transformation programs through your combined SAP application and functional process expertise which includes your ability to: Engage with senior client Finance executives on the business challenges/trends and the potential value of SAP solutions (current & future) Lead customers in defining their SAP journey through the development of business cases & roadmaps including during sales origination, proposal development and client presentations Architect e2e Finance solutions that leverage SAP technologies, custom apps, & add on partner solutions Clearly explain SAP’s Business AI strategy, including an understanding of its capabilities and roadmap. Identify functional areas expertise where AI can deliver real value to clients Experience in deployment of AI use cases within SAP delivery to improve efficiency and ability to explain how these AI-driven improvements can enhance project delivery Advise, design and deliver Finance solutions based on the latest industry and technology best practices leveraging a SAP solutions and embedded innovation. Lead large project teams of varying size and scope – helping them achieve transformational roadmaps - onsite with clients or within Accenture Become a trusted expert and advisor to your clients, team, and Accenture Leadership by staying current on regulations, trends, and innovations across your area of expertise Be a thought leader, build assets and best practices and develop the next level of transformation experts Travel may be required for this role. The amount of travel will vary from 0 to 100% depending on business need and client requirements

About the Team The OpenAI Robotics team is focused on unlocking general-purpose robotics and pushing towards AGI-level intelligence in dynamic, real-world settings. Working across the entire model stack, we integrate cutting-edge hardware and software to explore a broad range of robotic form factors. We strive to seamlessly blend high-level AI capabilities with the constraints of physical systems to improve peoples’ lives. About the Role As the Robotics 3D Printing Lab Technician, you will own the day-to-day operation of our additive manufacturing lab and help enable rapid hardware iteration across the robotics organization. You’ll manage and maintain a fleet of 3D printers, develop workflows for engineers to submit and track builds, and ensure high-quality prototype parts are delivered quickly and reliably. You will partner closely with mechanical, electrical, and prototype engineering teams to support fast-paced robotics development. Beyond additive manufacturing, you will also contribute as a hands-on prototype technician supporting builds, rework, subsystem integration, and general lab operations across robotic systems. This role is based in San Francisco, CA, and requires in-person presence 5 days a week. In this role, you will: Lead operation, maintenance, and calibration of a fleet of 3D printers supporting robotics prototyping efforts Develop and maintain workflows for print submission, prioritization, tracking, and delivery across engineering teams Prepare, process, and optimize print jobs across a variety of additive manufacturing technologies and materials Perform post-processing operations including support removal, finishing, bonding, machining, dyeing, and assembly preparation Inspect completed parts for dimensional accuracy, cosmetic quality, and print integrity before delivery to engineers Partner with engineering teams to provide guidance on material selection, print orientation, tolerancing, and manufacturability Manage inventory of printing materials, consumables, spare parts, and maintenance supplies to ensure high printer uptime Support rapid prototyping workflows by assisting with mechanical builds, subsystem integration, and general prototype technician work Troubleshoot machine, process, and print quality issues across additive manufacturing workflows Help maintain a clean, organized, safe, and highly functional prototyping environment You might thrive in this role if you: Have deep hands-on experience with additive manufacturing systems and enjoy building reliable workflows around physical hardware Are highly organized and comfortable managing many concurrent prototype requests in fast-paced environments Understand tradeoffs between different printing technologies, materials, tolerances, and post-processing methods Enjoy hands-on technical work and are comfortable supporting a broad range of prototype and build activities Maintain a high bar for craftsmanship, lab discipline, and part quality Preferred qualifications: 4+ years of experience operating additive manufacturing systems in prototyping, robotics, product development, or manufacturing environments Experience with a variety of 3D printing technologies such as FDM, SLA, SLS, MJF, or PolyJet Familiarity with additive manufacturing materials, post-processing methods, and prototype finishing techniques Experience supporting hardware engineering teams in fast-paced development environments Familiarity with general electromechanical assembly, prototype builds, or robotics hardware systems About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology. Compensation $250K – $295K + Offers Equity

Meta is seeking talented Machine Learning engineers to join our teams in building cutting-edge products, with the mission of connecting billions of people around the world. As a member of our team, you will have the opportunity to work on complex technical problems, build new features, and improve existing products across various platforms, including mobile devices and web applications. Our teams are constantly pushing the boundaries of user experience, and we're looking for engineers who can help us advance the way people connect globally. If you're interested in joining a team and working on exciting projects that have a significant impact, we encourage you to apply. Software Engineer, Machine Learning RecSys Responsibilities Collaborate with cross-functional teams (product, design, operations, infrastructure) to build innovative application experiences Implement custom user interfaces using latest programming techniques and technologies Develop reusable software components for interfacing with back-end platforms Analyze and optimize code for quality, efficiency, and performance Lead complex technical or product efforts and provide technical guidance to peers Architect efficient and scalable systems that drive complex applications Identify and resolve performance and scalability issues Work on a variety of coding languages and technologies Establish ownership of components, features, or systems with expert end-to-end understanding Minimum Qualifications 3+ years of experience in software engineering or a relevant field. 2+ years of experience if you have a PhD 2+ years of experience in one or more of the following areas: machine learning, recommendation systems, artificial intelligence, or a related technical field Experience with scripting languages such as Python, Javascript or Hack Experience with developing machine learning models at scale from inception to business impact Knowledge developing and debugging in C/C++ and Java, or experience with scripting languages such as Python, Perl, PHP, and/or shell scripts Track record of setting technical direction for a team, driving consensus and successful cross-functional partnerships Proven experience designing, building, or deploying recommendation systems (e.g., collaborative filtering, content-based, hybrid approaches, personalization at scale) Experience building and shipping high quality work and achieving high reliability Experience improving quality through thoughtful code reviews, appropriate testing, proper rollout, monitoring, and proactive changes Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience Preferred Qualifications Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies Publications in top-tier conferences/journals, patents, or open-source contributions in the recommendations or LLM space Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements) Experience with scripting languages such as Pytorch and TensorFlow Exposure to architectural patterns of large scale software applications Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews) Hands-on experience working with large language models (LLMs), such as BERT, GPT, or similar architectures, including fine-tuning, integration, or application in production environments Master's degree or PhD in Computer Science or another ML-related field

The Siri team is redefining how hundreds of millions of people access information across Apple devices, with privacy built in from the ground up. As part of the Agentic Search Evaluation team, you will help advance Apple Intelligence through personalized search, result ranking, and low-latency production services that power experiences across Siri, Spotlight, Safari, Messages, and more. Your team researches and builds deep search systems for Personal Question Answering, enabling Siri to answer questions about a user's emails, messages, events, files, and more while keeping personal data private. We are looking for a Machine Learning Engineering Manager with a passion for building scalable, high-quality solutions to evaluate personalized search applications. In this role, you will directly shape how personalized search quality is assessed and improved by driving solutions across search quality, data quality, and both offline and online evaluation metrics. You will lead a team focused on evaluating personalized AI search experiences while designing evaluation systems, developing data generation and curation methods, and creating quality metrics frameworks for continuous improvement. Responsibilities Lead a team of applied machine learning and software engineers to design and build scalable, automated systems for end-to-end evaluation of personalized search. Design and implement offline and online metrics to assess quality at both the product and component levels, driving continuous improvement. Collaborate with cross-functional teams to define data and evaluation requirements, establish priorities, and identify opportunities to improve search quality. Define the long-term technical vision for personalized search quality, identify gaps, and drive solutions aligned with the broader product roadmap. Minimum Qualifications 6+ years of industry experience building machine learning or machine learning evaluation systems at scale. 2+ years of technical leadership or engineering management experience. Strong knowledge of machine learning fundamentals, neural network architectures, and software engineering using Python or C/C++. Excellent communication and collaboration skills. Bachelor's degree in Computer Science, Engineering, Statistics, or a related field. Preferred Qualifications Experience designing and building production machine learning systems for search, natural language processing, recommendation systems, or information retrieval. Experience in data collection, data generation, or data quality assessment involving language, image, or multimodal data. Master's degree or Ph.D. in Computer Science, Engineering, Statistics, or a related field, or equivalent industry experience. Compensation & Benefits Base pay is determined based on skills, qualifications, experience, and location. Base Salary Range: $206,200 – $356,400 USD Eligible employees may also receive: Employee stock purchase and ownership programs. Restricted stock unit (RSU) awards. Comprehensive medical and dental coverage. Retirement benefits. Employee discounts on products and services. Education assistance and tuition reimbursement for eligible programs. Performance bonuses or commission opportunities where applicable. Relocation assistance for eligible positions. Benefits and compensation are subject to eligibility requirements and applicable company policies. Equal Opportunity Employer We are committed to creating an inclusive workplace where employment decisions are based on qualifications, merit, and business needs without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic under applicable law. Accessibility We are committed to providing an accessible workplace and recruitment process. Reasonable accommodations are available for qualified applicants throughout the hiring process and employment in accordance with applicable laws.

Overview Accenture helps the world’s leading enterprises reinvent by building their digital core and unleashing the power of AI to create value at speed for organizations across industries. Our strategy is to be the reinvention partner of choice for our clients and lead in the safe, widespread adoption of AI, and to be the most client-focused, AI-enabled, great place to work in the world. We bring together the talent of our approximately 799,000 people with proprietary assets and platforms, deep process and industry expertise, and leading ecosystem relationships to deliver end-to-end solutions and measurable outcomes at scale. Through our Reinvention Services, we offer broad expertise across Cybersecurity, Digital Core, Finance, Industry and Enterprise, Song, Supply Chain and Engineering, and Talent, with advanced capabilities in AI and Data, Industry and Process, and Technology. We serve approximately 9,000 clients and generated approximately $70 billion in FY25 revenue. Visit us at www.accenture.com . Our Laboratory Reinvention practice is where scientific and laboratory innovation meets leading-edge technology. We help our clients envision and achieve Digital and AI Laboratory Transformation through co-creation and application of digital technologies, revolutionizing scientific and laboratory processes. Our people have a combination of scientific and laboratory informatics expertise, tied with strategic and business consulting experience, and industry platforms knowledge. We provide an innovative approach and global scale across a variety of industries. We leverage digital technologies such as GenAI and Agentic SI solutions, automation, Internet of Things, analytics, and cloud, in combination with a fundamental redesign of the scientific user experience to help our clients better capture, manage, integrate, and analyze complex scientific data. We help improve the research, development, and manufacturing of new products, improve quality, ensure compliance, reduce time to market and improve operational efficiency. As a member of our team, you will be exposed to the cutting-edge technologies and processes that many leading companies and government agencies utilize. What would you do? Deliver exceptional, differentiated solutions for our clients that advance their ambitions for digital laboratory operations and scientific intelligence. As a Forward Deployed Scientific Informatics Consultant, you can expect to: Utilize AI tools to effectively elicit, demonstrate, develop, and scale solutions that meet the needs of laboratory scientists across the value chain Conduct stakeholder interviews and working sessions to gather insights and clarify needs Analyze and translate business requirements into functional and technical specifications for development and configuration of custom and off-the-shelf solutions Develop and maintain comprehensive project documentation, including requirement specifications, use cases, user stories, and design documents Operate in and perform project management activities for both waterfall and agile methodologies Support the design and implementation of solutions that comply with regulatory standards in GxP and non-GxP environments Support the accurate and timely design, creation, and migration of scientific master data and transactional data Provide training and ongoing support to end-users on new systems and processes Prepare SDLC documents (Process Maps, Workflows, Specs, Test Scripts, etc.) Provide point-of-view on laboratory and scientific informatics solutions and strengths and weaknesses of various technology solutions Advise on data and system architectures as they relate to industry solutions for the laboratory Help clients better capture, handle, integrate and analyze complex scientific data Oversee, design, and implement digital solutions such as Agentic Lab Capabilities, Laboratory Information Management Systems (LIMS), Electronic Laboratory Notebooks (ELN), Chromatography Data Systems (CDS), Scientific Data Management Systems (SDMS), Instrument Orchestration technologies, Internet of Things (IoT), and cloud Travel - candidates must be willing to travel up to 50% to client locations

We are looking for an outstanding Engineering Program Manager to deliver next-generation sensing software technologies for health and fitness applications. From machine learning to artificial intelligence, you will be working at the cutting edge of custom hardware, data, and software capabilities to deliver world-class experiences. We are looking for Program Managers who can thrive in a dynamic workplace where both individual drive and team collaboration are the keys to success. You have experience in product development and program, project, or product management, proven leadership capabilities, excellent communication skills, and a passion for shipping new technologies. Responsibilities Drive large, cross-functional efforts to build technologies across multiple engineering teams. Develop strong relationships and trust across system and module hardware and software teams. Drive feature definition, implementation, and testing while working closely with algorithm, software engineering, embedded firmware, hardware, and testing teams. Ensure effective inter-team coordination and communication throughout the development process. Create and maintain development schedules, identify critical paths, and manage execution timelines. Understand complex technical topics, identify project risks, and develop mitigation strategies. Synthesize large amounts of technical data into clear written and verbal analyses to support executive decision-making. Apply strong planning, leadership, and risk management practices to deliver successful products. Minimum Qualifications 1+ years of technical program or product management experience, or a leadership role in a large technical project. Knowledge of one or more of the following technologies: Embedded software Sensor systems Machine learning Computer vision Foundation models Natural Language Processing (NLP) Ability to dive into technical details. Excellent communication, presentation, organizational, and leadership skills. Ability to work with diverse teams and collaborate, influence, and negotiate effectively across all levels of management. Self-motivated, proactive, and able to perform well in a fast-paced environment while remaining calm and adaptable. Regularly incorporates generative AI tools into daily program management work as a standard practice. Bachelor's degree or higher in Engineering or a related technical discipline. Preferred Qualifications 5+ years of technical program management experience in consumer-facing product development. Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or a PhD in a technical discipline. Background in medical devices, coaching, or fitness. Direct experience shipping or supporting GenAI or LLM-powered consumer features. Compensation & Benefits Base pay is determined based on skills, qualifications, experience, and location. Base Salary Range: $144,600 – $263,800 USD Eligible employees may also receive: Employee stock purchase and ownership programs. Restricted stock unit (RSU) awards. Comprehensive medical and dental coverage. Retirement benefits. Employee discounts on products and services. Education assistance and tuition reimbursement for eligible programs. Performance bonuses or commission opportunities where applicable. Relocation assistance for eligible positions. Benefits and compensation are subject to eligibility requirements and applicable company policies.

You’ve Never Been Satisfied with "Good Enough." You want to make an impact, not just manage projects, but change how the world gets built. At Accenture Infrastructure & Capital Projects, you’ll do exactly that. You’ll help develop and deliver the factories, grids, transit systems, and public infrastructure that keep communities moving - and do it smarter, safer, and more sustainably than ever before. You’ll work alongside people who think big and act bold - project managers, engineers, technologists, and strategists who blend real-world experience with digital innovation and AI. Together, we’re transforming how capital projects are planned, managed, and executed, creating a better way to build for the future. Because “good enough” builds the past. You’re here to build what’s next, on a team that outperforms every norm. Visit us here to learn more about ​ Accenture Infrastructure & Capital Projects As Accenture continues to grow, you may see a variety of new career opportunities, and depending on the role and location you may be directed to apply through Accenture Infrastructure and Capital Projects LLP or one of our other legal entities - Accenture Infrastructure and Capital Projects, LLC or Accenture Infrastructure and Capital Projects Inc., with benefits varying by country and role, so please check with your recruiter for details. THE WORK: You’ll lead field construction activities and oversee construction and maintenance operations across multiple service areas. You’ll perform pole groundline inspection and treatment. You’ll perform wood and steel pole inspection, repair, and restoration. You’ll perform aluminum bell base insulator replacement. You’ll execute other transmission, distribution, or substation system upgrades. You'll perform Transmission line (T‑line) work ranging from 0–30 miles in scope You’ll champion project readiness and manage field teams by ensuring contractor inspectors, field supervisors, and coordinators fully understand project goals, expectations, and safety requirements. You’ll provide technical guidance and problem‑solving by ensuring all work complies with technical specifications, assisting with material procurement coordination, and resolving technical issues raised by field teams or contractors. You’ll enforce safety and identify hazards by proactively identifying, evaluating, and reporting hazardous conditions to maintain a safe work environment for all personnel. You’ll drive quality assurance by monitoring work for quality and compliance, such as C‑Truss installations, T&D wood pole restoration, and other structural repairs. $100,000 - $110,000 a year Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired in Illinois, Maine, Minnesota, California, Colorado, District of Columbia, Maryland, Massachusetts, New York, New Jersey, Ohio, Virginia or Washington as set forth below. We accept applications on an on-going basis and there is no fixed deadline to apply.

About the Team OpenAI’s mission is to ensure that artificial general intelligence benefits all of humanity. We believe this requires real-world deployment, continuous learning, and rapid iteration to improve both safety and utility. The Intelligence & Investigations team supports this mission by identifying, investigating, and disrupting malicious uses of OpenAI products. We work at the intersection of investigations, analytics, policy, engineering, and trust & safety to understand emerging threats, develop scalable detection strategies, and improve platform defenses. Our team combines investigative expertise with technical analysis to uncover novel abuse patterns, inform product and policy decisions, and help build durable safeguards across OpenAI’s products. About the Role As an Abuse Investigator on the Intelligence & Investigations team, you will investigate harmful activity on OpenAI’s platform with a particular focus on violent threats, coordinated abuse, and other high-risk threats to public safety. You will analyze complex datasets, identify abuse signals, conduct investigations, and partner closely with policy, legal, engineering, and integrity teams to drive enforcement actions and improve detection capabilities. This role is highly analytical and requires strong technical and investigation skills. Successful candidates are comfortable working directly with large datasets, using SQL to uncover patterns and trends, and leveraging Python or other tools like Codex to automate workflows, analyze data, and support investigations at scale. You will be expected to combine investigative judgment with data-driven analysis to identify emerging threats and develop proactive mitigation strategies. The role is based in New York City and follows a hybrid in office work model. Investigations may involve sensitive content, including violent, extremist, sexual, or child safety-related material. Candidates should be comfortable operating in high-stakes environments and managing time-sensitive escalations. In This Role, You Will Investigate reports, leads, and escalations involving violent threats, coordinated abuse, and other threats to public safety. Use SQL and Codex to query large datasets, analyze user behavior, identify suspicious activity, and uncover novel abuse patterns. Utilize Python and Codex to automate investigative workflows, process and analyze data, develop abuse detection methodologies, and improve operational efficiency. Develop and refine abuse signals, behavioral indicators, and tracking methodologies that enable scalable detection and enforcement. Partner closely with engineering teams to design and improve internal tooling, data pipelines, reporting capabilities, and investigations. Use metrics to evaluate automated workflow efficiency. Conduct rapid triage and investigation of urgent escalations, exercising sound judgment in ambiguous situations. Communicate investigative findings and recommendations to stakeholders across Policy, Legal, Product, Engineering, and Leadership teams. Translate investigative insights into long-term product, policy, and safety improvements. Contribute to an on-call rotation supporting time-sensitive investigations and threat assessments. You Might Thrive in This Role If You Have 5+ years of experience conducting investigations involving violent actors, terrorism-related activity, trust & safety, law enforcement investigations, intelligence analysis, or related fields (ideally with a public safety component) Possess strong SQL skills and experience using data analysis to support investigations, identify trends, and answer complex investigative questions. Have practical experience using Python for data analysis, workflow automation, investigative tooling, or operational analytics. Have experience developing scalable processes, detection methodologies, or automated approaches to investigations. Can independently work through complex problems and clearly communicate findings and recommendations. Have experience collaborating with technical and non-technical stakeholders in fast-moving environments. Have experience presenting analytical findings through reports, briefings, dashboards, or executive-level communications. Have worked in technology, trust & safety, cybersecurity, intelligence, law enforcement, fraud, risk, or investigative environments. Enjoy training and/or mentoring others on technical tooling and workflows. Preferred Qualifications Experience conducting investigations involving violent threats, online abuse, extremist activity, or other threat actor behavior. Familiarity with data analytics tools and investigative methodologies used in technology, intelligence, or trust & safety environments. Experience partnering with engineering teams to improve detection systems, data quality, or investigative tooling. Understanding of emerging risks associated with AI systems, online platforms, and adversarial actors. Experience developing data-driven approaches to abuse detection and mitigation. At OpenAI, you’ll help protect millions of users by combining investigative expertise, analytical rigor, and technical problem-solving to identify and mitigate some of the most challenging abuse and safety issues facing AI systems today. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology. Compensation $288K – $425K + Offers Equity