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Assistant Professor Jobs

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【About Appier】 Appier (TSE: 4180) is an AI-native Agentic AI as a Service (AaaS) company that empowers businesses to create value through cutting-edge AdTech and MarTech solutions. Founded in 2012 with the vision of “Making AI Easy by Making Software Intelligent,” Appier helps businesses turn AI into ROI through its Ad Cloud, Personalization Cloud, and Data Cloud—each powered by Agentic AI that enables autonomous, adaptive, and real-time decision-making. Today, Appier operates 17 offices across APAC, the US, and EMEA, and is listed on the Tokyo Stock Exchange. Learn more at www.appier.com. 【About the role】 As a Technical Solutions Engineer Intern, you will follow established guidelines and SOPs to help customers integrate and optimize our products, troubleshoot and explore technical issues, and provide expert guidance. Your main responsibility is to execute each task with precision and consistent service. - Efficiently follow established guidelines and SOPs to assist new clients with a smooth onboarding and go-live process. - Maintain a high degree of precision when documenting, communicating, and processing the work and issues to ensure every detail is accurately captured. - Create and update technical documentation, knowledge base articles, and FAQs to help both customers and internal teams. - Effectively communicate technical concepts and problems to both technical and non-technical teams. - Assisting in the evaluation and integration of generative AI tools and platforms into existing workflow. 【About you】 - Currently pursuing a Bachelor's or Master's degree in Computer Science, Engineering, Information Technology, or a related field. - Basic knowledge of programming, algorithms, and data structures is required. - Excellent written, verbal communication skills, with the ability to collaborate effectively with teams. - A passion for technology and a desire to learn. - Able to utilize generative AI tools effectively. 【Nice to have】 - Familiarity with the components

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About the Team OpenAI’s Strategic Finance organization provides the financial insight and guidance that support the company’s long-term strategy and ambitious growth. We partner across Product, Partnerships, Engineering, and GTM to allocate resources to the highest-impact opportunities while preserving sustainable unit economics. The Applications Technology Strategic Finance team works closely with Product and Engineering to scale core offerings and bring new products to market. We lead revenue forecasting and performance management across the product portfolio, and partner closely with the Infrastructure Engineering team to forecast infrastructure and compute demand and to manage margin targets and headcount planning with rigor. About the Role We are hiring a Director of Product Finance, Infrastructure and Compute Demand to help drive strategic decision-making across our product organization. This person will serve as the primary finance partner to the AGI Deployment (Applications) Infrastructure Engineering organization and play a critical role in connecting product usage, compute demand, infrastructure costs, and margin outcomes across the portfolio. You will help build the frameworks that translate technical decisions into economic outcomes, shape planning across product and infrastructure teams, and ensure OpenAI is scaling its products with rigor and efficiency. You will also manage a small team, providing mentorship and leadership while remaining hands-on with analysis and execution. This role is ideally based in our San Francisco HQ, but we are open to NYC and Seattle. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: Serve as the primary finance partner to the AGI Deployment (Applications) Infrastructure Engineering organization. Own the consolidated compute and infrastructure demand forecast for the products we bring to market, partnering closely with capacity planning and

awsrestai
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Titan Security is built on serving our clients and building careers – just like yours. We are trusted by some of the most well-known companies and properties in the country while remaining dedicated to building personalized security solutions that solve the needs of every customer we support. Named as a nationally recognized Top Workplace in 2024 and 2025 by USA Today, Titan's customized approach to security services will provide you with the opportunity to learn, grow and succeed. Our core values of being Unified, Transparent, Innovative, Committed and Accountable help us in providing unparalleled service and support in all that we do. If you are looking for a meaningful career, a culture of excellence, and the ability to make a difference, we want to talk to you! Titan Security is hiring Security Dispatchers, Gate officers, and Patrol Officers in the Dearborn, Michigan area. Duties for Dispatchers may include: Monitor CCTV Camera System Dispatch Patrol Officers to Locations. Answer Regular phones and Emergency phones. Monitor Alarm Panels. Respond to Radio calls. Write reports. Provide excellent Customer Service to all parties encountered while on duty, including assisting with directions and general business information. Duties for Security Officers may include: Control access to the plant through gate operations, verifying credentials of employees, contractors, and visitors. Checking Vehicle Passes to make sure the vehicles are allowed on property. Checking Semi Trucks paperwork and directing them to the proper Gate. Understanding Marsec (Maritime Security) Procedures. Conduct Marsec Vehicle inspections. Provide excellent Customer Service to all parties encountered while on duty, including assisting with directions and general business information. Qualifications: Must be at least 18 years of age Must have a valid driver's license High School diploma or general education degree (GED) Able to pass pre-employment drug screen and criminal background che

customer service
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5mo ago

About Wolt At Wolt, we create technology that brings joy, simplicity and earnings to the neighborhoods of the world. In 2014 we started with delivery of restaurant food. Now we’re building the delivery of (almost) everything and you’ll find us in over 500 cities in 30 countries around the world. In 2022 we joined forces with DoorDash and together we keep on dreaming big and expanding across the globe. Working at Wolt isn’t always easy, but it’s definitely exciting. Here you’ll learn more, build more, and ship more than in most other companies. You’ll be challenged a lot, but also have a lot of fun on the way. So, if you’re a self-starter with drive and entrepreneurial spirit, this could be the ride of your life. At Wolt, you can grow your sales career with a fun and fast-scaling global business. Part of the DoorDash team, we’re building a global logistics platform that can deliver (almost) everything in your city, to your door in minutes. Today, our products are used by 55+ million registered users who can now order from 200,000+ restaurants and retail stores across 30+ countries around the world. Our Sales teams create and build our relationships with merchants. Together, we’ve helped big brands, local stores and neighborhood restaurants do over €15 billion’s worth of business through our platform. We’re constantly launching new cities and products, so there are always new opportunities to expand your skills and progress your career. What you’ll be doing As a member of the Sales Support team, you will play a key role in providing ongoing support to ensure a smooth and high-quality experience to our merchant partners. This includes establishing effective communication channels, maintaining service standards, assisting partner growth through data-driven insights, and collaborating with internal teams to resolve urgent needs and share best practices. What you’ll be doi

gitrestagile
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OpenAI
📍 San Francisco• Full-time
5mo ago

About the Team Our Safety Systems team is at the forefront of OpenAI's mission to build and deploy safe AGI, driving our commitment to AI safety and fostering a culture of trust and transparency. Within Safety Systems, the Model Policy team aligns model behavior with desired human values and norms. We co-design policy with models and for models by driving rapid policy taxonomy iteration based on data and defining evaluation criteria for foundational models’ ability to reason about safety. About the Role Frontier AI systems are rapidly expanding what is possible in cybersecurity and software engineering. These capabilities create major defensive opportunities, but they also raise serious dual-use and misuse risks across areas such as malware development, exploit discovery, vulnerability chaining, credential abuse, cyber intrusion, and autonomous offensive operations. In this role, you will help define how OpenAI’s models should behave in high-risk cybersecurity contexts. You will develop policy frameworks, threat models, taxonomies, evaluations, and behavioral specifications that guide model behavior across training, deployment, and monitoring systems. This role sits at the intersection of cybersecurity, AI safety, threat modeling, evaluation science, and policy implementation. You will work closely with research, engineering, safety training, preparedness, and product teams to build policies that are technically grounded, measurable, enforceable, and responsive to real-world cyber risk. Your Responsibilities: Design and maintain model policies for cybersecurity and frontier-risk domains, especially dual-use and high-risk cyber capabilities. Translate cybersecurity threat models into clear behavioral specifications, evaluation criteria, grading guidance, and system-level mitigations. Define practical boundaries between legitimate security research, defensive workflows, and assistance that could materially enable harmful activity. Build policy artifacts that support i

awsgitrest
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Okta
📍 Bellevue, Washington• Full-time• C$117K – C$160.6K/yr
5mo ago

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. Love our Customers is our #1 Value at Okta. The Okta Customer First Team lives and breathes this every day. A critical element of Okta’s strategy is helping our customers accelerate their time to value and expand their relationship with Okta. This is a key differentiator for Okta and we believe that all customers, large and small, deserve an exceptional experience and this assistance. When we do this well, our customers succeed and Okta succeeds by growing our renewal rates. The Success Insights Manager role is an exciting opportunity to help execute a scaled success strategy, providing exceptional, data-driven content that maximizes value for customers post-sale. You will execute digital success programs that involve designing and developing visually engaging and informative data-driven content tailored to our customers’ unique use cases that also scale effectively to meet the needs of our expanding customer base. This content will serve as powerful tools for our post-sales teams, including customer QBRs, automated delivery plans, and more, helping them demonstrate the value of Okta and drive product adoption among our largest customers. Your primary targets will include driving adoption and retention as well as the future growth of our customer base while saving time for customer-facing teams, including those who manage our largest book of accounts. You will be deep in the data, monitoring and optimizing your program

machine learningartificial intelligenceai
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OpenAI
📍 San Francisco• Full-time• Remote• $266K – $445K/yr
5mo ago

About the Team OpenAI’s Hardware organization develops AI-native silicon and system-level solutions for the unique demands of advanced AI workloads. Building on efforts like Jalapeño, the team is developing future generations of AI-native silicon and tightly integrated systems to power the next generation of frontier models. By co-designing chips, systems, tools, and methodologies, the team helps deliver faster, more efficient, and production-ready hardware for OpenAI’s supercomputing platform. About the Role We're seeking a System Software Engineer to join our First-Party Hardware team. In this role, you will design, build, integrate, and validate low-level system software for the manageability and health of OpenAI's first-party AI hardware systems. You will work across BMC, Linux, firmware interfaces, automation infra, boot and recovery, hardware diagnostics, telemetry, host and platform drivers, network software interfaces, and manufacturing and fleet readiness. A major part of this role is owning the acceptance path for partner-delivered system software: defining requirements, reviewing code and artifacts, reproducing builds, building tests, pushing fixes, and producing the evidence needed for launch decisions. This role is hands-on and high-ownership. You will write and review low-level software, debug issues across hardware and software boundaries, build infra and automation to test and manage devices in lab, guide partner deliverables, build validation evidence, and help carry platforms from bring-up through production deployment. Location: San Francisco, CA (Hybrid: 3 days/week onsite) Relocation assistance available. In this role, you will: Design, develop, and maintain low-level firmware and system software for first-party AI hardware manageability, including BMC software, Redfish services, gNMI telemetry, firmware update and recovery flows, BIOS/UEFI interactions, platform drivers, and hardware diagnostics. Own integration and acceptance of partner and ve

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OpenAI
📍 San Francisco• Full-time• Remote• $347K – $385K/yr
5mo ago

About the Team The Integrity team builds the systems OpenAI uses to understand, prevent, and respond to misuse across our products. We partner with Product, Policy, Safety Systems, User Operations, Security, Legal, Privacy, OpenAI for Government, and research teams to turn policy and threat models into product controls, review workflows, measurement systems, and enforcement paths. About the Role We are hiring a Product Manager to own Integrity's product strategy for sensitive deployments: contexts where model capability, customer or deployment setting, privacy constraints, and misuse potential make the operating bar unusually high. This includes government and other high stakes deployments, regulated or high-trust enterprise contexts, zero data retention and privacy-constrained environments, and agentic workflows where harm can unfold across many steps rather than a single prompt. The Integrity PM will focus on high-consequence use cases relevant to government deployments and broader deployment-readiness questions for high-risk domains (e.g., healthcare), while building reusable Integrity capabilities for agentic detection and enforcements in these environments. This position is based in San Francisco, CA, with relocation assistance available. In this role, you will: Own the roadmap for sensitive deployment Integrity controls and readiness criteria. Define how we measure residual risk, decision quality, review quality, and mitigation effectiveness. Build agentic investigation and context-assembly workflows for complex, multi-step misuse patterns. Partner with Policy, Legal, Privacy, Safety Systems, User Ops, Government, and product teams to build shared capabilities. Create launch and deployment playbooks for sensitive customer, capability, and product contexts. You might thrive in this role if you: Have shipped complex product systems in AI, integrity, trust and safety, security, privacy, risk, government, regulated enterprise, or AI safety. Can turn ambiguous poli

REMOTEartificial intelligenceai
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OpenAI
📍 San Francisco• Full-time
5mo ago

About the Team The Integrity team builds the systems OpenAI uses to understand, prevent, and respond to misuse across our products. We partner with Product, Policy, Safety Systems, User Operations, Security, Legal, Privacy, OpenAI for Government, and research teams to turn policy and threat models into product controls, review workflows, measurement systems, and enforcement paths. About the Role We are hiring a Product Manager to own Integrity's product strategy for sensitive deployments: contexts where model capability, customer or deployment setting, privacy constraints, and misuse potential make the operating bar unusually high. This includes government and other high stakes deployments, regulated or high-trust enterprise contexts, zero data retention and privacy-constrained environments, and agentic workflows where harm can unfold across many steps rather than a single prompt. The Sensitive Deployments PM will focus on high-consequence use cases relevant to government deployments and broader deployment-readiness questions for high-risk domains (e.g., healthcare), while building reusable Integrity capabilities for agentic detection and enforcements in these environments. This position is based in San Francisco, CA, with relocation assistance available. In this role, you will: Own the roadmap for sensitive deployment Integrity controls and readiness criteria. Define how we measure residual risk, decision quality, review quality, and mitigation effectiveness. Build agentic investigation and context-assembly workflows for complex, multi-step misuse patterns. Partner with Policy, Legal, Privacy, Safety Systems, User Ops, Government, and product teams to build shared capabilities. Create launch and deployment playbooks for sensitive customer, capability, and product contexts. You might thrive in this role if you: Have shipped complex product systems in AI, integrity, trust and safety, security, privacy, risk, government, regulated enterprise, or AI safety. Can turn am

awsrestai
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O
5mo ago

About the team The AI Deployment Engineering team works closely with frontier startups. We are trusted advisors to, and thought partners with, startups to ensure that OpenAI’s technology is deployed safely and effectively, whilst also partnering with engineering, research, and product to turn those insights into evaluation systems, product improvements, and better model behavior. This team sits at the intersection of customer reality and model quality. We combine hands-on technical depth with strong product judgment, helping translate complex, high-value use cases into clear signals that can improve both the customer experience and the underlying systems. About the role We are seeking a technically proficient, product-minded engineer to help push the frontier of advanced AI with our strategic startup customers. You'll work with some of the most exciting AI startups in the world, helping them optimize their own systems and turning those learnings into durable improvements across OpenAI’s research and products. You will partner deeply on complex workflows, identify the gaps that matter, and help transform those gaps into reproducible evaluations, technical insights - helping shape OpenAI's research and product direction. This role is well suited to engineers who are equally comfortable debugging a workflow, iterating on prompts or agents, designing evaluations, and collaborating across research and product. You should be excited by ambiguous, high-impact problems and motivated by the opportunity to shape how advanced AI systems improve in practice. This role is based in London. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. In this role, you will: Work directly with strategic startup customers to understand critical workflows, uncover failure modes, and identify high-impact opportunities for improvement. Prototype and iterate on prompts, agents, and workflow designs to better understand system behavior and unlock customer

awsrestai
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About the Team DoorDash Labs is an independent team within DoorDash. We explore robotics and automation to transform last-mile logistics in the long term. If you have a passion for applying robotics solutions in a service used by millions of people, then we want to talk to you! About the Role You will be a fundamental and experienced member of the Service Operations team at DoorDash Labs. You will complete more advanced diagnostic and repair work to maximize uptime, supporting our overall fleet utilization goals. You will report to the Associate Operations Manager, Service, in our DoorDash Labs organization. This is an on-site role with expectations of 100% in-office in Fremont, CA, San Jose, CA, or Sunnyvale, CA. You’re excited about this opportunity because you will… Execute any Senior Service Technician task and: Diagnose complex, intermittent, or unusual faults in robotic systems, modular components, and support vehicles, often requiring advanced troubleshooting techniques and interpretation of complex data Perform advanced repairs, including component-level troubleshooting and fixes on intricate electrical systems, control units, and associated hardware, with minimal supervision Interpret complex technical manuals, schematics, and diagnostic flowcharts to guide troubleshooting efforts Meticulously document complex diagnostic processes, root cause hypotheses, non-standard troubleshooting steps, repair details, and component failure information in the service management system, contributing potential updates to the knowledge base Provide technical guidance, mentorship, and on-the-job assistance to Level 2 Technicians for challenging tasks Work independently to manage and prioritize assigned workload effectively Calibrates, configures, and maintains specialized diagnostic tools and test equipment We operate 7 days a week, 16 hrs a day to support Robot Operations. During training, you will be on a temporary schedule until your on-the-job training is completed

Excellogisticsrecruitment
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OpenAI
📍 San Francisco• Full-time• Remote• $266K – $445K/yr
5mo ago

About the Team OpenAI’s Hardware organization develops AI-native silicon and system-level solutions for the unique demands of advanced AI workloads. Building on efforts like Jalapeño, the team is developing future generations of AI-native silicon and tightly integrated systems to power the next generation of frontier models. By co-designing chips, systems, tools, and methodologies, the team helps deliver faster, more efficient, and production-ready hardware for OpenAI’s supercomputing platform. Role summary We are seeking a Networking Operating System Firmware Engineer to help bootstrap and scale the switching layer of our AI supercomputers. In this role, you will build and maintain custom NOS images from scratch, using open source components from SONiC, SAI, FRR, and related networking stacks while working across the Linux kernel, switch ASIC SAI/SDKs, platform drivers, control-plane services, and orchestration layers. This is a software engineering role that requires a deep understanding of networking, NOS internals, switch hardware, and production systems. You will design, implement, test, and debug production NOS software across platform drivers, routing and control-plane state, ASIC programming, observability, and fleet integration. The engineer in this role should be able to work through ambiguous, open-ended technical problems and drive feature development across software, hardware, and vendor boundaries. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will Design, develop, and maintain custom NOS images for large-scale AI fabrics, using open source components from SONiC, FRR, and related networking stacks. Integrate, build and configure Linux kernel components, device drivers, switch ASIC SDKs, and SAI layers. Bring up new switch platforms, including thermal and fan control, power monitoring, transceiver management, watchdogs, OSFP CMIS, L

REMOTEpythonlinuxartificial intelligence
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BN
5mo ago

The following description is not intended as an exhaustive list of all responsibilities, duties and skills required of personnel so classified. Management retains the discretion of adding or changing the duties of the position at any time. SUMMARY ESS Rework Technician do commission work on the ESS according to the processes. Technicians are assigned to a location within the field that modifies and repairs mechanical and electrical processes of the ESS, do the commission work and follows documentation pertaining to their assigned station in their department. JOB DESCRIPTION Receive batteries, cube unload, and document them by serial numbers Test cubes, batteries, and components using BYD software and hardware Disassemble cubes, make repairs and modifications based on engineering or manager’s direction Document all issues and repairs as well as changes made Clean and organize inside and outside work areas that include warehouse Work with team members to create a safe, efficient work environment while maintaining high quality work product and repairs Help document and repair cubes at port site Supporting warehouse by assisting with organizing and inventory Demonstrates attention to detail Demonstrates required skills Gathers and analyzes information skillfully Communicates changes and progress Balances team and individual responsibilities Adapts to changes in the work environment Follows instruction, responds to management direction Demonstrates accuracy and thoroughness Upholds organizational values Proper use of PPE and observes safety and security procedures of BYD and adhere to customer safety and procedures Other duties as assigned REQUIRED EDUCATION AND EXPERIENCE To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to per

warehouserecruitment
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We are TRADER, a Canadian leader in digital automotive solutions. Our flagship brands — AutoTrader.ca , AutoSync , Dealertrack Canada and CMS — help Canadians buy, sell, and finance vehicles with confidence. As part of AutoScout24 group , Europe’s largest online car marketplace, we’re shaping the future of automotive retail in Canada and beyond. Learn more at tradercorporation.com . This role will be within the AutoSync team. AutoSync supports over 3,500 dealerships nationwide, delivering cutting-edge software tools to simplify operations, boost marketing, and drive sales. Account Executive - CRM Location: Western/Southwestern Ontario Are you competitive? Are you persuasive, and passionate about the automotive industry and of the newest technologies? You are the person we are looking for to join the team at Activix as an Account Executive in Ontario. What will you do? Acquire new clients and maintain the highest quality of customer service with our current customers. What will your days look like? Prospection of new clients Coordinate and send submissions Prepare sales Perform follow-ups on the progression of sales Maintain the database (CRM) What aptitudes should you have? Strong interpersonal skills Result oriented Desire to learn and improve Concern for after-sales service Listening skills and sense of initiative University degree or previous sales experience Bilingual in English & French (good to have) General knowledge of different CRMs (an asset) What’s in it for you… We understand that there is life at work and life outside of work. Here are a few benefits we all benefit from that support us to be our creative best. Gym discounts Employee and Family Assistance program Virtual wellness events Conferences & training budget Regular internal training programs Financial planning with 3% matching Pension Competitive salary Ann

artificial intelligenceaifinance
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OpenAI
📍 San Francisco• Full-time• Remote• $293K – $325K/yr
5mo ago

About the Team Our team turns OpenAI’s latest model capabilities into polished, trusted products for consumers and developers. We build the end-to-end experiences including product surfaces, platform layers, and developer workflows that make cutting-edge AI accessible, useful, and dependable at scale. OpenAI’s Financial Engineering (FinEng) team powers how revenue flows through our products - pricing and packaging, checkout, payments, subscriptions, and the financial infrastructure behind them. We partner closely with Engineering, Data Science, Risk, Finance, and Go-to-Market to make paying for OpenAI products seamless, reliable, and efficient worldwide. We pair rapid innovation with a rigorous approach to responsible deployment. Safety and trust are built into how we design, ship, and learn from real-world usage, so these tools deliver meaningful value while aligning with OpenAI’s mission. About the Role We are seeking an experienced Product Manager to scale the product efforts and technical strategy within our Financial Engineering team. The ideal candidate has prior experience in billing, finance, and accounting, ideally also building solutions for commercial users of varying sizes from small scale to enterprise. This role requires close collaboration with our product, finance, operations, and engineering teams. This position is based in San Francisco, CA. We utilize a hybrid work model with 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: Develop a strategy and roadmap to efficiently scale the billing operations and customer experience behind OpenAI’s growing product portfolio Identify and execute opportunities to improve the order-to-cash processing for OpenAI’s largest and most strategic customers Build AI powered tooling for key partner teams such as Finance and User Operations to drive better decisions and business outcomes Collaborate with other product teams to defining OpenAI’s evolving monetization s

REMOTEartificial intelligenceaiaccounting
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