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About Sana At Sana, we're on a mission to bring superintelligence to work—a seamless, beautiful way to access all your company’s apps, knowledge, and data. We are obsessed with making AI agents do real work to empower our users to process and act on knowledge at an unprecedented scale.We’re a talent-dense team of engineers and designers in Stockholm, united by a passion for building great products with deep technical excellence. Our backgrounds span AI research at Google, distributed systems at Spotify, product design and AI infrastructure at Apple, competitive programming, and scaling fast-growing startups. At Sana, everyone is an owner. We cut out processes, maximize impact, and value rapid prototyping and iteration.Our AI tools already help over a million people learn and work better across hundreds of leading enterprises. But we’re just getting started—there’s so much more to build. Join us to tackle some of the most challenging and meaningful problems of our generation.About the roleYou’ll own the reliability, security, and scalability of Sana’s platform while leveling up developer velocity. This is the place for engineers who thrive on moving between cloud infrastructure, deployment, and tooling to unblock everyone else. You’ll work on everything from multi-tenant scale-out to developer experience, ensuring our platform is robust, secure, and a joy to build on.In this role, you willDrive reliability, security, and scalability across the platformArchitect and implement multi-tenant scale-out (10–100x) and observability solutionsLead incident response, performance profiling, and cost control initiativesBuild and maintain CI/CD pipelines, test infrastructure, and environment provisioningWork with engineers across the stack to remove friction and accelerate deliveryWhat success looks likeThe platform scales seamlessly as usage grows 10-100x, with robust observability and incident responseSecurity and compliance are built-in, not bolted onDeveloper velocity is tangibly higher—teams ship faster, with fewer blockersCI/CD, test infra, and development environments are reliable, discoverable, and loved by engineersCost controls and performance budgets are visible and actionableYou are a go-to partner for infra, deployment, and tooling challenges: unblocking others and raising the bar for engineering excellenceOur tech stackWe build on a simple modern stack optimized for both humans and AI:Backend: TypeScript, Node.jsFrontend: TypeScript, React, TailwindDatabases: Postgres, RedisCloud infra: GCP/Kubernetes/TerraformWhat We OfferHelp shape AI's future alongside brilliant minds from Notion, Dropbox, Slack, Databricks, Google, McKinsey, and BCG.Competitive salary complemented with a transparent and highly competitive options program.Swift professional growth in an evolving environment, supported by a culture of continuous feedback and mentorship from senior leaders.Work with talented teammates across 5+ countries, and collaborate with customers globallyRegular team gatherings and events (recently in Italy and South Africa)

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About xAI xAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All engineers are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.About the Role We are seeking a skilled AI Legal and Compliance Data Specialist to enhance xAI’s AI models by providing high-quality data annotations and inputs tailored to legal and compliance contexts. In this role, you will leverage your expertise in regulatory compliance, contract analysis, legal research, and dispute resolution to support the training of AI systems. You will collaborate with technical teams to refine annotation tools and curate impactful data, ensuring our models effectively capture real-world legal and compliance dynamics. This role requires adaptability, strong analytical skills, and a passion for driving innovation in a fast-paced environment. Responsibilities Utilize proprietary software to provide accurate input and labels for legal and compliance projects, ensuring high-quality data for AI model training. Deliver curated, high-quality data for scenarios involving regulatory compliance, contract analysis, legal research, and dispute resolution. Collaborate with technical staff to support the training of new AI tasks and contribute to the development of innovative technologies. Assist in designing and improving efficient annotation tools tailored for legal and compliance data. Select and analyze complex problems in legal and compliance fields aligned with your expertise to enhance AI model performance. Interpret, analyze, and execute tasks based on evolving instructions, maintaining precision and adaptability. Required Qualifications Professional experience in legal, compliance, or related fields (e.g., compliance officer, lawyer, paralegal, legal secretary, judicial law clerk, arbitrator, mediator, administrative law judge, court reporter, or title examiner). Proficiency in reading and writing informal and professional English. Strong communication, interpersonal, analytical, and organizational skills. Excellent reading comprehension and ability to exercise autonomous judgment with limited data. Passion for technological advancements and innovation in legal and compliance processes. Preferred Qualifications Relevant certification, license, or advanced training (e.g., JD, bar admission, Certified Compliance Professional, or similar legal/compliance certification). Experience mentoring or training others in legal or compliance practices. Comfort with recording audio or video sessions for data collection. Familiarity with AI or data annotation workflows in a technical setting. Location & Other Expectations This position is based in Palo Alto, CA (in-office, 5 days per week) or fully remote with strong self-motivation required. US-based candidates cannot be hired in Wyoming or Illinois at this time. Visa sponsorship is not available. Team members are expected to work from 9:00am - 5:30pm PST for the first two weeks of training, and 9:00am - 5:30pm in their own timezone thereafter. For remote work, candidates must use a Chromebook, Mac with macOS 11.0 or later, or Windows 10 or later, and have reliable access to a smartphone. Interview Process After submitting your application, our team will review your CV and statement of exceptional work. If your application advances, you will be invited to a 15-minute phone interview to discuss basic qualifications. Successful candidates will proceed to the main process, which includes: Technical deep-dive: Discussing your legal and compliance expertise and data annotation experience. A take-home challenge focused on legal or compliance data labeling or analysis. A meet-and-greet with the wider team. Our goal is to complete the main interview process within one week. Compensation $45/hour - $100/hour The posted pay range is intended for U.S.-based candidates and depends on factors including relevant experience, skills, education, geographic location, and qualifications. For international candidates, our recruiting team can provide an estimated pay range for your location. Benefits: Hourly pay is just one part of our total rewards package at xAI. Specific benefits vary by country, depending on your country of residence you may have access to medical benefits. We do not offer benefits for part-time roles.xAI is an equal opportunity employer. California Consumer Privacy Act (CCPA) Notice

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Scale's customer base is growing exponentially, and you will be on the front lines of ensuring that these customers become passionate, lifelong Scale partners. As a member of our Engagement Management team, you’ll be accountable for establishing customer relationships, driving revenue, hitting SLAs, and maintaining quality standards. You will work closely with one of Scale’s Gen AI Data Engine customers, driving end-to-end engagements from new projects and pilots, owning the account execution, working cross-functionally to ensure Scale products and services are delivered consistently and on-time, and driving account consumption. You are the tip of Scale’s contact with our Gen AI customers, working with and being an advocate for customer data leaders and engineering/operations teams. You have a strong interest in how high-quality data can positively influence Gen AI models. Your bias towards finding not just one-off solutions, but repeatable and scalable ways to ensure we continually deliver. You have a track record of managing customers to renewal, forecasting with customers, and supporting sales teams managing upsells. And you are naturally empathetic and excel at building long-term relationships through diligent problem solving and thoughtful, strategic discussions. Within Scale, you will work cross-functionally with Operations, Product Managers, Sales, and other teams as the primary customer operations advocate.   The blend of operations and customer management to drive our most important outcomes make this a unique and exciting role at the heart of Scale's Data Engine operations. The ideal candidate is customer-driven, analytical, empathetic, outcome focused, and above all someone who drives and inspires results. You will: Build and drive some of our most critical operational processes: the consistent, on-time delivery of Data Engine product and services, and revenue consumption for our customers Build and oversee levers with a relentless focus on SLA achievement and quality improvement Review, track and improve operational performances and be obsessed with continuous improvement Oversee on-boarding and successful implementation for new Data Engine projects Manage the long-term health of customers by identifying and preempting areas of risk or concern Partner with clients to understand operational issues and advocate for their fixes with Scale engineers Work directly with customer's engineering teams, partnering with customer-facing MLEs and Field Engineering Work directly with customer's engineering teams, answering questions and addressing issues with use of our API Create an effective feedback loop between the front line, product, strategy, and customers Collaborate with stakeholders to improve processes for new and existing customers Ideally you'd have: 4-9 years of total work experience, with experience in consulting or as a technical program management role in industry  Associate / Senior Consultant / Engagement Manager role at a Big 3 Consulting Firm A technical background (education or professional experience with CS, Economics, Statistics, Engineering) A proven track record in B2B client facing roles and expanding client relationships Ability to understand APIs and the ML training lifecycle and build great relationships with technical customers Great cross-functional experience and collaborative ability Excellent verbal and written communications A track record of structured, analytics-driven problem solving A history of diligence and organization across multiple work streams An action-oriented mindset that balances creative problem solving with the scrappiness to ultimately deliver results Analytical, planning, and process improvement capability Experience with reading SQL and/or another database language Nice to haves: Prior experience at an API technology company and/or managing technical customers using an API Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$132,000—$165,000 USDPLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.  We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision.  PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

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About Sana At Sana, we’re building Learn—an AI-powered learning platform that combines the simplicity of a modern LMS with intelligent features like AI tutor, automated content generation, and interactive apps. Our goal is to help enterprises make knowledge not just accessible, but actionable at scale.We’re a product-obsessed team of engineers and designers from companies like Google, Spotify, and Databricks, united by a focus on technical excellence and rapid iteration. With Learn already supporting hundreds of leading enterprises, we’re just getting started—and there’s much more to build.About the roleYou’ll own the reliability, security, and scalability of Sana’s platform while leveling up developer velocity. This is the place for engineers who thrive on moving between cloud infrastructure, deployment, and tooling to unblock everyone else. You’ll work on everything from multi-tenant scale-out to developer experience, ensuring our platform is robust, secure, and a joy to build on.In this role, you willDrive reliability, security, and scalability across the platformArchitect and implement multi-tenant scale-out (10–100x) and observability solutionsLead incident response, performance profiling, and cost control initiativesBuild and maintain CI/CD pipelines, test infrastructure, and environment provisioningWork with engineers across the stack to remove friction and accelerate deliveryWhat success looks likeThe platform scales seamlessly as usage grows 10-100x, with robust observability and incident responseSecurity and compliance are built-in, not bolted onDeveloper velocity is tangibly higher—teams ship faster, with fewer blockersCI/CD, test infra, and development environments are reliable, discoverable, and loved by engineersCost controls and performance budgets are visible and actionableYou are a go-to partner for infra, deployment, and tooling challenges: unblocking others and raising the bar for engineering excellenceOur tech stackWe build on a simple modern stack optimized for both humans and AI:Backend: TypeScript, Kotlin, Node.jsFrontend: TypeScript, React, TailwindDatabases: Postgres, RedisCloud infra: GCP/Kubernetes/TerraformWhat We OfferHelp shape AI's future alongside brilliant minds from Notion, Dropbox, Slack, Databricks, Google, McKinsey, and BCG.Competitive salary complemented with a transparent and highly competitive options program.Swift professional growth in an evolving environment, supported by a culture of continuous feedback and mentorship from senior leaders.Work with talented teammates across 5+ countries, and collaborate with customers globallyRegular team gatherings and events (recently in Italy and South Africa)

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About Sana At Sana, we’re building Learn—an AI-powered learning platform that combines the simplicity of a modern LMS with intelligent features like AI tutor, automated content generation, and interactive apps. Our goal is to help enterprises make knowledge not just accessible, but actionable at scale.We’re a product-obsessed team of engineers and designers from companies like Google, Spotify, and Databricks, united by a focus on technical excellence and rapid iteration. With Learn already supporting hundreds of leading enterprises, we’re just getting started—and there’s much more to build.About the roleShip customer-facing value quickly in small teams—owning everything from problem definition through UX, API, and instrumentation. You’ll work end-to-end to deliver features that delight users and move the needle for Sana and our customers.In this role, you willOwn features from design to deploy—frontend (React/TypeScript), backend (Node/TypeScript) and database (Postgres)Integrate with agent and retrieval APIs to deliver seamless product experiencesInstrument products, run A/B tests, and iterate quickly with design and PMMake pragmatic trade-offs and thrive in ambiguous 0→1 product spacesCollaborate closely with stakeholders, users and teammates to define and solve the right problemsWhat success looks likeFeatures ship fast, delight users, and drive measurable impactEnd-to-end ownership is the norm—problems are solved, not handed offProduct instrumentation and A/B tests inform every iterationYou are a force multiplier for your squad, making everyone around you betterAmbiguity is an opportunity, not a blockerOur tech stackWe build on a simple modern stack optimized for both humans and AI:Backend: TypeScript, Kotlin, Node.jsFrontend: TypeScript, React, TailwindDatabases: Postgres, RedisCloud infra: GCP/Kubernetes/TerraformWhat We OfferHelp shape AI's future alongside brilliant minds from Notion, Dropbox, Slack, Databricks, Google, McKinsey, and BCG.Competitive salary complemented with a transparent and highly competitive options program.Swift professional growth in an evolving environment, supported by a culture of continuous feedback and mentorship from senior leaders.Work with talented teammates across 5+ countries, and collaborate with customers globallyRegular team gatherings and events (recently in Italy and South Africa)

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About usAt Sierra, we’re creating a platform to help businesses build better, more human customer experiences with AI. We are primarily an in-person company based in San Francisco, with growing offices in Atlanta, New York, and London.We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and Family. These values are the foundation of our work, and we are committed to upholding them in everything we do.Our co-founders are Bret Taylor and Clay Bavor. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace. What you'll doScale The Function: Lead,coach, and develop a high-caliber SE team, providing guidance, assigning projects and ensuring technical excellence. Conduct regular performance evaluations, foster professional growth, and coach team members to reach their full potential.GTM Technical Expert: Guide your team in designing and delivering compelling technical demos and proofs of concept for Sierra’s platform, providing technical solutions to customer challenges, and addressing technical questions throughout the sales cycle.Cross-Functional Work: Partner closely with Sales, Product, and Agent Engineering teams to define best practices, playbooks, and repeatable processes that enable your team and partnership to scale beyond 1:1 customer interactions.Lead & Support Customers: Act as a technical leader in early-stage customer conversations, helping your team understand, anticipate, and solve customer needs to advance Sierra’s industry-leading AI solutions.What you'll bring5-7+ years of experience in Sales Engineering, Solutions Engineering, or customer-facing technical sales, with at least 3+ years in a leadership capacity.Experience developing frameworks for how SEs partner with Sales, Product, and Engineering to deliver impact efficiently across accounts.History of establishing metrics and systems that measure SE impact on pipeline health, win rates, and customer adoption.Track record of leading presales processes and supporting enterprise and strategic sales cycles from discovery through close.Ability to translate customer business problems into Sierra’s technical solutions and clearly communicate to both technical and non-technical stakeholders across complex organizations.Even BetterExperience building Sales Engineering orgs in emerging categories (e.g., AI, data, security).Comfort with workflows, AI and ML concepts, APIs/webhooks, and JSON.Our valuesTrust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work.Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it.Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve.Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time.Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements.What we offerWe want our benefits to reflect our values and offer the following to full-time employees:Flexible (Unlimited) Paid Time OffMedical, Dental, and Vision benefits for you and your familyLife Insurance and Disability BenefitsRetirement Plan (e.g., 401K, pension) with Sierra matchParental LeaveFertility and family building benefits through CarrotLunch, as well as delicious snacks and coffee to keep you energized Discretionary Benefit Stipend giving people the ability to spend where it matters mostFree alphorn lessonsThese benefits are further detailed in Sierra's policies and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies.Be you, with usWe're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.

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About xAI xAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All engineers are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.About the Role xAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. As an AI Tutor - Civil/Environmental Engineering specialist, you will be instrumental in enhancing the capabilities of our cutting-edge technologies by providing high-quality input and labels using specialized software. Your role involves collaborating closely with our technical team to support the training of new AI tasks, ensuring the implementation of innovative initiatives. You'll contribute to refining annotation tools and selecting complex problems where your expertise can drive significant improvements in model performance. This position demands a dynamic approach to learning and adapting in a fast-paced environment, where your ability to interpret and execute tasks based on evolving instructions is crucial. Responsibilities Use proprietary software applications to provide input/labels on defined projects. Support and ensure the delivery of high-quality curated data. Play a pivotal role in supporting and contributing to the training of new tasks, working closely with the technical staff  to ensure the successful development and implementation of cutting-edge initiatives/technologies. Interact with the technical staff to help improve the design of efficient annotation tools. Regularly require you to interpret, analyze, and execute tasks based on given instructions. Key Qualifications Must possess a Master's or PhD in Civil or Environmental Engineering, or a highly-related field. Proficiency in reading and writing, both in informal and professional English. Strong ability to navigate various information resources, databases, and online resources are essential. You display outstanding communication, interpersonal, analytical, and organizational capabilities. Solid reading comprehension skills combined with capacity to exercise autonomous judgment even when presented with limited data/material. You have a strong passion for and commitment to technological advancements and innovation. Preferred Qualifications Possess a PhD in Civil or Environmental Engineering. Substantial professional experience working on real-world problems in this domain. Possess experience with at least one publication in a reputable journal or outlet. Has previous AI Tutoring experience. Teaching experience (as a professor, teacher, or tutor). You possess experience in technical writing, journalism, or a professional writing setting. Professional background as a civil or environmental engineer. Location, Hourly, and Other Expectations This position is based in Palo Alto, CA, or fully remote. The Palo Alto option is an in-office role requiring 5 days per week; remote positions require strong self-motivation. If you are based in the US, please note we are unable to hire in the states of Wyoming and Illinois at this time. We are unable to provide visa sponsorship. Team members are expected to work from 9:00am - 5:30pm PST for the first two weeks of training and 9:00am - 5:30pm in their own timezone thereafter. For those who will be working from a personal device, please note your computer must be a Chromebook, Mac with MacOS 11.0 or later, or Windows 10 or later. You must own and have reliable access to a smartphone. Compensation $45/hour - $100/hour The posted pay range is intended for U.S.-based candidates and depends on factors including relevant experience, skills, education, geographic location, and qualifications. For international candidates, our recruiting team can provide an estimated pay range for your location. Benefits: Hourly pay is just one part of our total rewards package at xAI. Specific benefits vary by country, depending on your country of residence you may have access to medical benefits. We do not offer benefits for part-time roles. xAI is an equal opportunity employer. California Consumer Privacy Act (CCPA) Notice

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The Business Development Manager will be responsible for building Shield AI’s business opportunities with a focus on order execution and growth in South Korea. The ideal candidate will possess a deep understanding of South Korea’s defense procurement process and demonstrate confidence in engaging with customers, representing Shield AI at industry events, and leading product demonstrations.  You will operate on a small team with a demanding work and travel schedule and a very high level of responsibility and accountability to perform and deliver results, with the opportunity to make an outsized impact and become a major contributor to the company. WHAT YOU'LL DO:Support the International Business Development Country Executive, Head of Korea in executing Shield AI’s strategy and objectives.Engage with customers regularly to present and discuss Shield AI products (V-BAT, X-BAT, Hivemind Products, and ViDAR).Cultivate, nurture, and maintain strong relationships across the ROK Government, military services, and defense industries to ensure engagements with key stakeholdersRepresent Shield AI at trade shows, exhibitions, and industry events, showcasing our technology and capabilities.Devise and coordinate marketing and government relations initiatives to increase Shield AI’s visibility and influence.Plan and execute product demonstrations for prospective customers and partnersCustomer interface with Embassy, JUSMAG-K, MND, DAPA, Government entities to include think tanks, academia, and local defense industryWork cross-functionally to address customer needs and provide tailored responses.Lead and coordinate proposal responses and follow through to contract award.Develop and implement offset strategies and identify and execute other U.S. defense prime offset obligations.Maintain accurate and up-to-date opportunity tracking in Salesforce and other business systems. REQUIRED QUALIFICATIONS:Exceptional communicator: Fluent in both Korean and English with strong written, verbal, and presentation skills and the ability to engage seamlessly at all levels of business and government.Charismatic leader who can motivate, inspire, and impart excitement about Shield AI’s mission, technology, and products with the desire to help build the defining defense technology company of this century.Thorough understanding of ROK military operations and acquisition processes with the ability to maintain strong customer relationships.Self-motivated and results-oriented, with a track record of meeting and exceeding critical goals and deadlines.Proven leadership and/or acquisition and operational experience within the U.S. DoD or international equivalents (e.g., Ministries of National Defense and DAPA) and demonstrated understanding of Korean Air Force, Army, Navy, or equivalent operational scenarios and systems.Technical knowledge within UAV and/or AI disciplines, or demonstrated ability to learn quickly.Willing and able to travel both domestically and internationally, frequently and without restriction, including to customer sites.Team-oriented with the ability to collaborate effectively while also being direct and forthright.Proficient in business systems and tools required for high-performance operationsBachelor’s degree or equivalent military education. PREFERRED QUALIFICATIONS:MBA or equivalent advanced degree is highly valuedPrior strategy or business development experience in international defense markets.Business development experience in UAV, AI, or other defense-related technology contexts.Strong research and analysis skills.

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The International Business Development Manager will be responsible for building Shield AI’s business opportunities with a focus on order execution and growth in Japan. The ideal candidate will possess a deep understanding of Japan’s defense procurement process and demonstrate confidence in engaging with customers, representing Shield AI at industry events, and leading product demonstrations.  You will operate on a small team with a demanding work and travel schedule and a very high level of responsibility and accountability to perform and deliver results, with the opportunity to make an outsized impact and become a major contributor to the company.  WHAT YOU'LL DO:Support the International Business Development Regional Director in executing Shield AI’s strategy and objectives. Engage with customers regularly to present and discuss Shield AI products (V-BAT, X-BAT, Hivemind Products, and ViDAR). Cultivate, nurture, and maintain strong relationships across the Japanese Government, military services, and defense industries to ensure engagements with key stakeholders Represent Shield AI at trade shows, exhibitions, and industry events, showcasing our technology and capabilities. Devise and coordinate marketing and government relations initiatives to increase Shield AI’s visibility and influence. Plan and execute product demonstrations for prospective customers and partners Customer interface with Embassy, MDAO, JMOD, ATLA, Government entities to include think tanks, academia, and local defense industry Work cross-functionally to address customer needs and provide tailored responses. Lead and coordinate proposal responses and follow through to contract award. Develop and implement offset strategies and identify and execute other U.S. defense prime offset obligations. Maintain accurate and up-to-date opportunity tracking in Salesforce and other business systems. REQUIRED QUALIFICATIONS:Bachelor’s degree or equivalent military education. Exceptional communicator: Fluent in both Japanese and English with strong written, verbal, and presentation skills and the ability to engage seamlessly at all levels of business and government. Charismatic leader who can motivate, inspire, and impart excitement about Shield AI’s mission, technology, and products with the desire to help build the defining defense technology company of this century. Thorough understanding of Japan military operations and acquisition processes with the ability to maintain strong customer relationships. Self-motivated and results-oriented, with a track record of meeting and exceeding critical goals and deadlines. Proven leadership and/or acquisition and operational experience within the U.S. DoD or international equivalents and demonstrated understanding of Japan Air, Ground, Maritime Self-Defense Force equivalent operational scenarios and systems. Technical knowledge within UAV and/or AI disciplines, or demonstrated ability to learn quickly. Willing and able to travel both domestically and internationally, frequently and without restriction, including to customer sites. Team-oriented with the ability to collaborate effectively while also being direct and forthright. Proficient in business systems and tools required for high-performance operations  PREFERRED QUALIFICATIONS:MBA or equivalent advanced degree is highly valued Prior strategy or business development experience in international defense markets. Business development experience in UAV, AI, or other defense-related technology contexts. Strong research and analysis skills. 

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Who We Are HP IQ is HP’s new AI innovation lab. Combining startup agility with HP’s global scale, we’re building intelligent technologies that redefine how the world works, creates, and collaborates. We’re assembling a diverse, world-class team—engineers, designers, researchers, and product minds—focused on creating an intelligent ecosystem across HP’s portfolio. Together, we’re developing intuitive, adaptive solutions that spark creativity, boost productivity, and make collaboration seamless. We create breakthrough solutions that make complex tasks feel effortless, teamwork more natural, and ideas more impactful—always with a human-centric mindset. By embedding AI advancements into every HP product and service, we’re expanding what’s possible for individuals, organisations, and the future of work. Join us as we reinvent work, so people everywhere can do their best work.About The Role HP IQ's Wireless Team works cross-functionally with system integration, hardware, software, product design, program management, and operations to deliver a successful product to market. As an RF Hardware Engineering Intern on the team, you will contribute to a best-in-class wireless device by focusing on electromagnetic design to mitigate radio interference. You will also learn about and develop RF algorithms to improve system performance, including battery life and link quality. You will support the product development lifecycle from concept to production. 2026 Internship Program Dates: May/June-August/September 2026. Final dates based on student schedule. What You Might Do Design and architect RF subsystems including desense, coexistence and OTA performance Plan validation of your designs: lead functional verification and system coexistence testing using automated scripts, simulate using EM tools, and debug hands-on with lab equipment Define and validate RF system level link budget, considering antenna design and coexistence Bring your design to mass production by setting factory test requirements, developing factory test fixtures and platforms, and assisting in system bring-up Essential Qualifications  Pursuing a Bachelor’s or Master's degree in Electrical Engineering, Computer and Electrical Engineering Strong EE, RF and Antenna fundamentals RF, electromagnetics and antenna coursework Experience working with lab equipment such as spectrum analyzers and VNAs for validation, hands-on prototyping and design  Experience with scripting (Python, C++ etc) Preferred Skills Hands-on research experience in EE/RF lab Experience shipping high volume consumer electronics products A desire to work in a collaborative environment where honesty and accountability are paramount Ability to drive tasks independently and escalate and communicate issues and needs clearly Salary Range: $45-$48/per hourCompensation & Benefits (Full-Time Employees) The salary range for this role is listed above. Final salary offered is based upon multiple factors including individual job-related qualifications, education, experience, knowledge and skills. At HP IQ, we offer a competitive and comprehensive benefits package, including: Health insurance Dental insurance Vision insurance Long term/short term disability insurance Employee assistance program Flexible spending account Life insurance Generous time off policies, including;  4-12 weeks fully paid parental leave based on tenure 11 paid holidays Additional flexible paid vacation and sick leave (US benefits overview) Why HP IQ? HP IQ is HP’s new AI innovation lab, building the intelligence to empower humanity—reimagining how we work, create, and connect to shape the future of work. Innovative Work Help shape the future of intelligent computing and workplace transformation. Autonomy and Agility Work with the speed and focus of a startup, backed by HP’s scale. Meaningful Impact Build AI-powered solutions that help people and organisations thrive. Flexible Work Environment Freedom and flexibility to do your best work. Forward-Thinking Culture We learn fast, stay future-focused, and imagine what comes next—together. Equal Opportunity Employer (EEO) Statement HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s). Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence. If you’d like more information about HP’s EEO Policy or your EEO rights as an applicant under the law, please click here: Equal Employment Opportunity is the Law Equal Employment Opportunity is the Law – Supplement

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About xAI xAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All engineers are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.About the Role As a Software Engineering Specialist on the Human Data team, you'll create cutting-edge datasets for training, benchmarking, and advancing large language models, collaborating closely with technical staff. You'll support xAI's mission by teaching AI models about human interactions, reactions, and problem-solving approaches through labeling and annotating data in text, voice, and video formats. This includes curating code examples, providing precise solutions, and making corrections in Python, JavaScript (including ReactJS), C/C++, Java, Rust, and Go; evaluating and refining AI-generated code for efficiency, scalability, and reliability; and working with cross-functional teams to enhance enterprise-level AI-driven coding solutions. Tasks may involve gathering or providing data, such as recording audio or video sessions, with which candidates must be comfortable to drive innovation. Responsibilities AI model training initiatives by curating code examples, offering precise solutions, and meticulous corrections in Python, JavaScript (including ReactJS), C/C++, Java,  Rust and Go. The Back-End Specialist will focus on any and all Enterprise aspects, as listed in ‘Required Qualifications’ section. Evaluate and refine AI-generated code, ensuring it adheres to industry standards for efficiency, scalability, and reliability. Collaborate with cross-functional teams to enhance AI-driven coding solutions, ensuring they meet enterprise-level quality and performance benchmarks. Required Qualifications 5+ years of professional back-end development experience. Proficient in multiple server-side languages (Python, Node.js). Strong experience designing and implementing RESTful APIs and GraphQL endpoints. Hands-on experience with both relational (PostgreSQL, MySQL) and non-relational (MongoDB, Redis) databases. Understanding of database optimization, indexing strategies and query performance. Deep understanding of web security principles, including authentication, authorization and data protection. Experience with asynchronous processing and background job systems. Experience with testing frameworks for unit, integration and end-to-end testing. Preferred Qualifications The ideal candidate for this role is adaptable, possesses strong logical reasoning skills, is detail-oriented, and thrives in a fast-paced work environment. Experience with containerization technologies (Docker). Familiarity with front-end technologies (TypeScript, React) to enable effective cross-functional collaboration. Location, Hourly & Other Expectations US-based candidates cannot be hired in Wyoming or Illinois at this time. Visa sponsorship is not available. Team members are expected to work from 9:00am - 5:30pm PST for the first two weeks of training, and 9:00am - 5:30pm in their own timezone thereafter. For remote positions, candidates should have a reliable high-speed internet connection, along with a functioning camera and microphone for seamless participation in virtual meetings. Interview Process After submitting your application, our team will review your CV and statement of exceptional work. If your application advances, you will be invited to a 15-minute phone interview to discuss basic qualifications. Successful candidates will proceed to the main process, which includes: Technical deep-dive: Discussing your legal and compliance expertise and data annotation experience. A take-home challenge focused on legal or compliance data labeling or analysis. A meet-and-greet with the wider team. Our goal is to complete the main interview process within one week. Compensation $45/hour - $100/hour The posted pay range is intended for U.S.-based candidates and depends on factors including relevant experience, skills, education, geographic location, and qualifications. For international candidates, our recruiting team can provide an estimated pay range for your location. Benefits: Hourly pay is just one part of our total rewards package at xAI. Specific benefits vary by country, depending on your country of residence you may have access to medical benefits. We do not offer benefits for part-time roles.xAI is an equal opportunity employer. California Consumer Privacy Act (CCPA) Notice

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PLEASE NOTE: This is a fully remote contract opportunity, with an estimated duration of 6 months. To be eligible, you must have authorization to work in the U.S.  The Human Frontier Collective (HFC) at Scale AI brings together domain experts, including PhDs, postdocs, advanced researchers, and elite professionals across diverse fields, to engage directly in pioneering generative AI research. As an HFC Legal Fellow, you will directly influence AI models tailored for practical legal applications, enabling cutting-edge tools to support lawyers in real-world scenarios. This role offers a unique opportunity to gain hands-on experience shaping AI technology specifically within the legal profession. What You'll Do Create and Evaluate Real-World Legal Scenarios: Design realistic, complex legal scenarios that reflect practical challenges faced by attorneys, enabling robust testing and refinement of AI model capabilities. Collaborative AI Model Testing: Actively participate in interactive research sessions, assessing AI-generated legal content for accuracy, practical relevance, and adherence to regulatory standards. Directly Influence AI Development: Provide detailed feedback on model performance, highlighting strengths and identifying areas for improvement to better align AI capabilities with real-world legal practice. Domain-Specific AI Projects: Collaborate on specialized projects in fields such as regulatory compliance, litigation strategy, case law analysis, and contract law, enhancing AI's applicability across diverse legal disciplines. Thought Leadership in Legal AI: Contribute to and co-author thought-leading white papers, technical analyses, webinars, and panels, helping drive industry-wide conversations about AI's role in law. Networking and Professional Development: Join an exclusive community of leading legal experts, AI researchers, and industry innovators through dedicated mentorship and networking opportunities. Who Should Apply Educational Background: JD, LLM, or currently enrolled in a prestigious 2L/3L program. Certifications: Bar admission in any jurisdiction strongly preferred. Professional Experience: Experience as an Associate Attorney, Legal Analyst, Counsel, Law Clerk, In-House Counsel, Legal Researcher, or Law Professor. Skills: Demonstrated expertise in legal research, analysis of regulatory frameworks, constitutional law, case law interpretation, and drafting legal briefs. Professional Mindset: Detail-oriented, innovative thinker with a passion for legal technology and a commitment to interdisciplinary collaboration. Why Join the HFC? Shape Legal Technology: Directly contribute to the creation and refinement of generative AI technologies specifically designed to address real-world legal needs. Professional Growth: Engage with cutting-edge AI, receive mentorship from legal and AI leaders, and enhance your professional reputation through impactful contributions. Recognition and Reward: Highly competitive compensation ($80-120/hour) depending on projects, with additional recognition opportunities based on your impact. Advance the Frontiers of Generative AI Join the Human Frontier Collective and contribute your expertise to meaningful AI research and practical industry challenges.PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.  We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision.  PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

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Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs.   Cerebras' current customers include global corporations across multiple industries, national labs, and top-tier healthcare systems. In January, we announced a multi-year, multi-million-dollar partnership with Mayo Clinic, underscoring our commitment to transforming AI applications across various fields. In August, we launched Cerebras Inference, the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services.About The Role This teams' principal responsibility is to rapidly bring up state-of-the-art open-source models, frameworks and data engineering. Success in this role requires a system-minded generalist who thrives in fast-paced bringup environments and is comfortable working across the entire software stack. Your work will play a critical role in achieving unprecedented levels of performance, efficiency, and scalability for AI applications. Responsibilities Contribute to the end-to-end bring up of frameworks for RL, inference serving, ML models on Cerebras CSX systems. Work across the stack: model architecture translation, graph lowering, compiler optimizations, runtime integration, and performance tuning. Debug performance and correctness issues spanning model code, compiler IRs, runtime behavior, and hardware utilization. Propose and prototype improvements across tools, APIs, or automation flows to accelerate future bring ups. Skills & Qualifications Bachelor’s, Master’s, or PhD in Computer Science, Engineering, or a related field with 8 to 12 years’ experience. Comfort navigating the full AI toolchain: Python modelling code, compiler IRs, performance profiling, etc. Strong debugging skills across performance, numerical accuracy, and runtime integration. Experience with deep learning frameworks (e.g., PyTorch, TensorFlow) and familiarity with model internals (e.g., attention, MoE, diffusion). Proficiency in C/C++ programming and experience with low-level optimization. Strong background in optimization techniques, particularly those involving NP-hard problems. What We Offer Competitive salary and benefits package. Opportunities for professional growth and career advancement. A dynamic and innovative work environment. The chance to work on cutting-edge technologies and make a significant impact on the future of AI.  Why Join Cerebras People who are serious about software make their own hardware. At Cerebras we have built a breakthrough architecture that is unlocking new opportunities for the AI industry. With dozens of model releases and rapid growth, we’ve reached an inflection  point in our business. Members of our team tell us there are five main reasons they joined Cerebras: Build a breakthrough AI platform beyond the constraints of the GPU. Publish and open source their cutting-edge AI research. Work on one of the fastest AI supercomputers in the world. Enjoy job stability with startup vitality. Our simple, non-corporate work culture that respects individual beliefs. Read our blog: Five Reasons to Join Cerebras in 2025. Apply today and become part of the forefront of groundbreaking advancements in AI! Cerebras Systems is committed to creating an equal and diverse environment and is proud to be an equal opportunity employer. We celebrate different backgrounds, perspectives, and skills. We believe inclusive teams build better products and companies. We try every day to build a work environment that empowers people to do their best work through continuous learning, growth and support of those around them. This website or its third-party tools process personal data. For more details, click here to review our CCPA disclosure notice.

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About Mistral  At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life. We democratize AI through high-performance, optimized, open-source and cutting-edge models, products and solutions. Our comprehensive AI platform is designed to meet enterprise needs, whether on-premises or in cloud environments. Our offerings include le Chat, the AI assistant for life and work. We are a dynamic, collaborative team passionate about AI and its potential to transform society.Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between France, USA, UK, Germany and Singapore. We are creative, low-ego and team-spirited. Join us to be part of a pioneering company shaping the future of AI. Together, we can make a meaningful impact. See more about our culture on https://mistral.ai/careers. Role Summary : AI Deployment Strategist As an AI Deployment Strategist, you will drive the adoption and deployment of Mistral’s AI solutions, working closely with customers from strategic vision to production implementation. This role sits at the intersection of business strategy, AI innovation, and hands-on deployment, ensuring our customers achieve transformative outcomes. You will partner with senior executives to design AI roadmaps, collaborate with the Applied AI team to deliver solutions in production, and ensure seamless transitions from presales to postsales. Your work will directly contribute to customer success, bridging the gap between strategy and execution. This role is ideal for those who thrive in a fast-paced environment, enjoy solving complex business challenges, and are passionate about turning AI potential into real-world impact. What you will do Strategic Discovery & Vision Setting• Lead executive-level workshops to identify business challenges and opportunities where Mistral’s AI can drive step-change improvements.• Co-create AI adoption roadmaps with customers, articulating the “art of the possible” and a clear path to value.• Collaborate with Account Executives to develop business cases, quantify ROI, and align solutions with customer objectives. AI Solution Design & Deployment• Architect end-to-end AI solutions, integrating Mistral’s models and platform into customer workflows and technical infrastructure.• Partner with the Applied AI team to design, prototype, and deploy AI solutions in production, ensuring scalability and impact.• Own the execution of pilot projects and proofs-of-value, demonstrating the potential of our technology and paving the way for full-scale deployment. Value Realization & Customer Success• Serve as a trusted advisor to customers, guiding their AI strategy and ensuring they maximize the value of their investment in Mistral.• Monitor key performance indicators (KPIs) tied to business outcomes, and communicate progress to executive sponsors.• Proactively identify expansion opportunities within accounts, building on initial successes to drive long-term partnerships. Cross-Functional Collaboration• Act as the bridge between customers and Mistral’s internal teams, synthesizing feedback to influence product and research roadmaps.• Develop reusable assets, best practices, and playbooks to scale go-to-market efforts and ensure consistent delivery excellence.• Travel (~30-60%) to foster deep client relationships and support on-site deployment. About you • 2+ years in a client-facing strategic role (e.g., management consulting, value engineering, or technical sales).• You hold a degree in a relevant scientific field (e.g., Computer Science, Data Science, Engineering, etc.)• Strong business acumen and problem-solving skills, with the ability to structure ambiguous challenges into actionable solutions.• Executive presence and communication skills to influence senior stakeholders (VP, C-level).• Foundational knowledge of AI/ML/Data Science, with the credibility to advise both technical and non-technical audiences.• Hands-on experience prototyping proofs-of-concept (Python, JavaScript, or similar) to demonstrate value.• Resilient, results-driven, and comfortable leading through influence in a collaborative environment.• Experience with sales qualification frameworks (e.g., MEDDPICC) and value-based selling is a plus. Why This Role Matters You will play a pivotal role in shaping how enterprises adopt and deploy AI, ensuring Mistral’s solutions deliver measurable impact. By partnering with the Applied AI team, you’ll help turn strategic visions into production-ready solutions, making Mistral an indispensable partner for our customers. Hiring Process • Talent Acquisition screening call• 30min Hiring Manager Interview • 45min Business Acumen Interview • 60min Technical Deep Dive on LLMs • Panel (Home Prep & Restitution)• 30min Value Talk • Reference check Benefits  🚴 Transportation: Allowance public transportation allowance or Parking charges reimbursed 🥎 Sport: Allowance for gym membership allowance 🥕 Meal: Allowance for meals (solution might evolve as we grow bigger)🧑‍⚕️ Health Insurance

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About Handshake AIHandshake is building the career network for the AI economy. Our three-sided marketplace connects 18 million students and alumni, 1,500+ academic institutions across the U.S. and Europe, and 1 million employers to power how the next generation explores careers, builds skills, and gets hired.Handshake AI is a human data labeling business that leverages the scale of the largest early career network. We work directly with the world’s leading AI research labs to build a new generation of human data products. From PhDs in physics to undergrads fluent in LLMs, Handshake AI is the trusted partner for domain-specific data and evaluation at scale.This is a unique opportunity to join a fast-growing team shaping the future of AI through better data, better tools, and better systems—for experts, by experts.Now’s a great time to join Handshake. Here’s why:Leading the AI Career Revolution: Be part of the team redefining work in the AI economy for millions worldwide.Proven Market Demand: Deep employer partnerships across Fortune 500s and the world’s leading AI research labs.World-Class Team: Leadership from Scale AI, Meta, xAI, Notion, Coinbase, and Palantir, just to name a few.Capitalized & Scaling: $3.5B valuation from top investors including Kleiner Perkins, True Ventures, Notable Capital, and more.About the RoleAs a Staff Research Scientist, you will drive frontier research on how we define intelligence of frontier models, i.e. develop benchmarks and measurements that help the research community to understand how large language models (LLMs) understand, reason, and interact with human knowledge. You will:Lead teams of researchers to produce original research in LLM evaluation methodologies, interpretability, and human-AI knowledge alignment.Develop novel frameworks and assessment techniques that reveal deep insights into model capabilities, limitations, and emergent behaviors.Collaborate with engineers to translate research breakthroughs into scalable benchmarks, evaluation systems, and standards.Pioneer new approaches to measuring reasoning, alignment, and trustworthiness in frontier AI systems.Author high-quality code to enable large-scale experimentation, reproducible evaluation, and knowledge assessment workflows.Publish in top-tier conferences and journals, establishing new directions in the science of AI evaluation.Work cross-functionally with leadership, engineers, and external partners to set industry standards for responsible AI evaluation and alignment. Desired CapabilitiesPhD or equivalent research experience in machine learning, computer science, cognitive science, or related fields with focus on AI evaluation, interpretability, or model understanding.6+ years of academic or industry experience post-doc in a research-first environmentStrong background in LLM research, evaluation methodologies, and/or foundational AI assessment techniques.Proven ability to independently design, lead, and execute evaluation research programs with novel data types end-to-end.Deep proficiency in Python and PyTorch for large-scale model analysis, benchmarking, and evaluation.Experience building or leading novel benchmark development, systematic model assessment, or interpretability studies.Strong publication record in post-training, evaluation, or interpretability that demonstrates field-defining contributions.Ability to clearly communicate complex insights and influence both technical and non-technical stakeholders.Extra CreditExperience with RLHF, agent modeling, or AI alignment research.Familiarity with data-centric AI approaches, synthetic data generation, or human-in-the-loop systems.Understanding of challenges in scaling foundation models (training stability, safety, inference efficiency).Contributions to open-source libraries or research tooling.Interest in the societal impact, deployment ethics, and governance of frontier AI systems.PerksHandshake delivers benefits that help you feel supported—and thrive at work and in life.The below benefits are for full-time US employees.🎯 Ownership: Equity in a fast-growing company💰 Financial Wellness: 401(k) match, competitive compensation, financial coaching🍼 Family Support: Paid parental leave, fertility benefits, parental coaching💝 Wellbeing: Medical, dental, and vision, mental health support, $500 wellness stipend📚 Growth: $2,000 learning stipend, ongoing development💻 Remote & Office: Stipends for home office setup, internet, commuting, and free lunch/gym in our SF office🏝 Time Off: Flexible PTO, 15 holidays + 2 flex days, winter #ShakeBreak where our whole office closes for a week!🤝 Connection: Team outings & referral bonusesExplore our mission, values, and comprehensive US benefits at joinhandshake.com/careers.

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About SanaAt Sana, we're on a mission to bring superintelligence to work—a seamless, beautiful way to access all your company’s apps, knowledge, and data. We are obsessed with making AI agents do real work to empower our users to process and act on knowledge at an unprecedented scale.We’re a talent-dense team of engineers and designers in Stockholm, united by a passion for building great products with deep technical excellence. Our backgrounds span AI research at Google, distributed systems at Spotify, product design and AI infrastructure at Apple, competitive programming, and scaling fast-growing startups. At Sana, everyone is an owner. We cut out processes, maximize impact, and value rapid prototyping and iteration.Our AI tools already help over a million people learn and work better across hundreds of leading enterprises. But we’re just getting started—there’s so much more to build. Join us to tackle some of the most challenging and meaningful problems of our generation.About the roleYou'll build the core agent infrastructure that powers Sana's mission to bring superintelligence to work. This is a greenfield opportunity to define how AI agents plan, reason, and execute across enterprise environments—building systems that reliably handle real-world complexity at scale. You'll work at the intersection of agent architecture, context-, tool- and prompt engineering, and production infrastructure.In this role, you willArchitect multi-step planning, orchestration, and tool routing for agentsImplement code generation agents and sandboxed code executionEngineer memory, state, and context packing/grounding strategiesBalance latency, quality, and cost controls for agent executionDevelop safe fallbacks, graceful degradation and robust error handlingCollaborate with platform and search teams to deliver reusable agent infrastructureEstablish safety guarantees and measurable quality improvementsWhat success looks likeAgent architectures are robust, reliable, and enterprise-readyContext and tool engineering enables agents to act intelligently, at scaleClear metrics, automated evaluation, and continuous improvement in agent capabilitiesQuality and safety are measurable and continuously improvingDurable building blocks accelerate product teams and unlock new capabilitiesOur tech stackWe build on a simple modern stack optimized for both humans and AI:Backend: TypeScript, Node.jsFrontend: TypeScript, React, TailwindDatabases: Postgres, RedisCloud infra: GCP/Kubernetes/TerraformWhat We OfferHelp shape AI's future alongside brilliant minds from Notion, Dropbox, Slack, Databricks, Google, McKinsey, and BCG.Competitive salary complemented with a transparent and highly competitive options program.Swift professional growth in an evolving environment, supported by a culture of continuous feedback and mentorship from senior leaders.Work with talented teammates across 5+ countries, and collaborate with customers globallyRegular team gatherings and events (recently in Italy and South Africa)

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About xAI xAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All engineers are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.About the Role We are seeking a skilled AI Financial Analysis Data Specialist to enhance xAI’s AI models by providing high-quality data annotations and inputs tailored to financial analysis contexts. In this role, you will leverage your expertise in equity valuation, fixed income analysis, derivatives pricing, macroeconomic trends, forex trading, cryptocurrency markets, and options strategies to support the training of AI systems. You will collaborate with technical teams to refine annotation tools and curate impactful data, ensuring our models effectively capture real-world financial analysis dynamics. This role requires adaptability, strong analytical skills, and a passion for driving innovation in a fast-paced environment. Responsibilities Utilize proprietary software to provide accurate input and labels for financial analysis projects, ensuring high-quality data for AI model training. Deliver curated, high-quality data for scenarios involving equity valuation, fixed income analysis, derivatives pricing, macroeconomic trends, forex trading, cryptocurrency markets, and options strategies. Collaborate with technical staff to support the training of new AI tasks and contribute to the development of innovative technologies. Assist in designing and improving efficient annotation tools tailored for financial analysis data. Select and analyze complex problems in financial analysis fields aligned with your expertise to enhance AI model performance. Interpret, analyze, and execute tasks based on evolving instructions, maintaining precision and adaptabil Required Qualifications Professional experience in financial analysis or related fields (e.g., equity analyst, FICC analyst, structured products/derivatives specialist, macro strategist, forex trader, crypto analyst, or options trader). Proficiency in reading and writing informal and professional English. Strong communication, interpersonal, analytical, and organizational skills. Excellent reading comprehension and ability to exercise autonomous judgment with limited data. Passion for technological advancements and innovation in financial analysis. Preferred Qualifications Relevant certification or advanced training (e.g., CFA, FRM, Series 7, or similar financial certification). Experience mentoring or training others in financial analysis or trading practices. Comfort with recording audio or video sessions for data collection. Familiarity with AI or data annotation workflows in a technical setting. Location, Hourly, and Other Expectations This position is based in Palo Alto, CA, or fully remote. The Palo Alto option is an in-office role requiring 5 days per week; remote positions require strong self-motivation. If you are based in the US, please note we are unable to hire in the states of Wyoming and Illinois at this time. We are unable to provide visa sponsorship. Team members are expected to work from 9:00am - 5:30pm PST for the first two weeks of training and 9:00am - 5:30pm in their own timezone thereafter. For those who will be working from a personal device, please note your computer must be a Chromebook, Mac with MacOS 11.0 or later, or Windows 10 or later. You must own and have reliable access to a smartphone. Interview Process After submitting your application, our team will review your CV and statement of exceptional work. If your application advances, you will be invited to a 15-minute phone interview to discuss basic qualifications. Successful candidates will proceed to the main process, which includes: Technical deep-dive: Discussing your legal and compliance expertise and data annotation experience. A take-home challenge focused on legal or compliance data labeling or analysis. A meet-and-greet with the wider team. Our goal is to complete the main interview process within one week. Compensation $45/hour - $100/hour The posted pay range is intended for U.S.-based candidates and depends on factors including relevant experience, skills, education, geographic location, and qualifications. For international candidates, our recruiting team can provide an estimated pay range for your location. Benefits: Hourly pay is just one part of our total rewards package at xAI. Specific benefits vary by country, depending on your country of residence you may have access to medical benefits. We do not offer benefits for part-time roles.xAI is an equal opportunity employer. California Consumer Privacy Act (CCPA) Notice

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About xAI xAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All engineers are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.About the Role We are seeking a skilled AI Sell-Side Finance Data Specialist to enhance xAI’s AI models by providing high-quality data annotations and inputs tailored to sell-side finance contexts. In this role, you will leverage your expertise in trading strategies, trade execution, investment banking transactions, client sales, regulatory compliance, operational workflows, and risk assessment to support the training of AI systems. You will collaborate with technical teams to refine annotation tools and curate impactful data, ensuring our models effectively capture real-world sell-side finance dynamics. This role requires adaptability, strong analytical skills, and a passion for driving innovation in a fast-paced environment. Responsibilities Utilize proprietary software to provide accurate input and labels for sell-side finance projects, ensuring high-quality data for AI model training. Deliver curated, high-quality data for scenarios involving trading strategies, trade execution, investment banking transactions, client sales, regulatory compliance, operational workflows, and risk assessment. Collaborate with technical staff to support the training of new AI tasks and contribute to the development of innovative technologies. Assist in designing and improving efficient annotation tools tailored for sell-side finance data. Select and analyze complex problems in sell-side finance fields aligned with your expertise to enhance AI model performance. Interpret, analyze, and execute tasks based on evolving instructions, maintaining precision and adaptability. Required Qualifications Professional experience in sell-side finance or related fields (e.g., trader, execution specialist, investment banker, sales professional, compliance officer, operations specialist, or risk manager). Proficiency in reading and writing informal and professional English. Strong communication, interpersonal, analytical, and organizational skills. Excellent reading comprehension and ability to exercise autonomous judgment with limited data. Passion for technological advancements and innovation in sell-side finance. Preferred Qualifications Relevant certification or advanced training (e.g., Series 7, Series 63, CFA, FRM, or similar finance-related certification). Experience mentoring or training others in sell-side finance practices, such as trading, sales, or compliance. Comfort with recording audio or video sessions for data collection. Familiarity with AI or data annotation workflows in a technical setting. Location, Hourly & Other Expectations This position is based in Palo Alto, CA (in-office, 5 days per week) or fully remote with strong self-motivation required. US-based candidates cannot be hired in Wyoming or Illinois at this time. Visa sponsorship is not available. Team members are expected to work from 9:00am - 5:30pm PST for the first two weeks of training, and 9:00am - 5:30pm in their own timezone thereafter. For remote work, candidates must use a Chromebook, Mac with macOS 11.0 or later, or Windows 10 or later, and have reliable access to a smartphone. Interview Process After submitting your application, our team will review your CV and statement of exceptional work. If your application advances, you will be invited to a 15-minute phone interview to discuss basic qualifications. Successful candidates will proceed to the main process, which includes: Technical deep-dive: Discussing your legal and compliance expertise and data annotation experience. A take-home challenge focused on legal or compliance data labeling or analysis. A meet-and-greet with the wider team. Our goal is to complete the main interview process within one week. Compensation $45/hour - $100/hour The posted pay range is intended for U.S.-based candidates and depends on factors including relevant experience, skills, education, geographic location, and qualifications. For international candidates, our recruiting team can provide an estimated pay range for your location. Benefits: Hourly pay is just one part of our total rewards package at xAI. Specific benefits vary by country, depending on your country of residence you may have access to medical benefits. We do not offer benefits for part-time roles.xAI is an equal opportunity employer. California Consumer Privacy Act (CCPA) Notice

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About xAI xAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All engineers are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.About the Role We are seeking a skilled AI Buy-Side Finance Data Specialist to enhance xAI’s AI models by providing high-quality data annotations and inputs tailored to buy-side finance contexts. In this role, you will leverage your expertise in portfolio management, hedge fund strategies, private equity investments, venture capital deal sourcing, and high-frequency trading algorithms to support the training of AI systems. You will collaborate with technical teams to refine annotation tools and curate impactful data, ensuring our models effectively capture real-world buy-side finance dynamics. This role requires adaptability, strong analytical skills, and a passion for driving innovation in a fast-paced environment. Responsibilities Utilize proprietary software to provide accurate input and labels for buy-side finance projects, ensuring high-quality data for AI model training. Deliver curated, high-quality data for scenarios involving portfolio management, hedge fund strategies, private equity investments, venture capital deal sourcing, and high-frequency trading algorithms. Collaborate with technical staff to support the training of new AI tasks and contribute to the development of innovative technologies. Assist in designing and improving efficient annotation tools tailored for buy-side finance data. Select and analyze complex problems in buy-side finance fields aligned with your expertise to enhance AI model performance. Interpret, analyze, and execute tasks based on evolving instructions, maintaining precision and adaptability. Required Qualifications Professional experience in buy-side finance or related fields (e.g., portfolio manager, hedge fund analyst, private equity professional, venture capitalist, or high-frequency trading specialist). Proficiency in reading and writing informal and professional English. Strong communication, interpersonal, analytical, and organizational skills. Excellent reading comprehension and ability to exercise autonomous judgment with limited data. Passion for technological advancements and innovation in buy-side finance. Preferred Qualifications Relevant certification or advanced training (e.g., CFA, CAIA, or similar finance-related certification). Experience mentoring or training others in buy-side finance or investment practices. Comfort with recording audio or video sessions for data collection. Familiarity with AI or data annotation workflows in a technical setting. Location, Hourly & Other Expectations This position is based in Palo Alto, CA (in-office, 5 days per week) or fully remote with strong self-motivation required. US-based candidates cannot be hired in Wyoming or Illinois at this time. Visa sponsorship is not available. Team members are expected to work from 9:00am - 5:30pm PST for the first two weeks of training, and 9:00am - 5:30pm in their own timezone thereafter. For remote work, candidates must use a Chromebook, Mac with macOS 11.0 or later, or Windows 10 or later, and have reliable access to a smartphone. Interview Process After submitting your application, our team will review your CV and statement of exceptional work. If your application advances, you will be invited to a 15-minute phone interview to discuss basic qualifications. Successful candidates will proceed to the main process, which includes: Technical deep-dive: Discussing your legal and compliance expertise and data annotation experience. A take-home challenge focused on legal or compliance data labeling or analysis. A meet-and-greet with the wider team. Our goal is to complete the main interview process within one week. Compensation $45/hour - $100/hour The posted pay range is intended for U.S.-based candidates and depends on factors including relevant experience, skills, education, geographic location, and qualifications. For international candidates, our recruiting team can provide an estimated pay range for your location. Benefits: Hourly pay is just one part of our total rewards package at xAI. Specific benefits vary by country, depending on your country of residence you may have access to medical benefits. We do not offer benefits for part-time roles.xAI is an equal opportunity employer. California Consumer Privacy Act (CCPA) Notice

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About xAI xAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All engineers are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.About the Role As an AI Tutor - Applied Math Specialist, you’ll play a key role in advancing xAI’s mission by enhancing our AI technologies through high-quality inputs, labels, and annotations using specialized software. You’ll collaborate with our technical team to train models on human interactions, problem-solving, and discussions; refine annotation tools; and select/create challenging applied math problems to boost performance. All of our AI Tutor roles potentially involve gathering or providing data in text, voice, and video formats, including annotations, audio recordings, or video sessions—tasks with which candidates must be comfortable. Responsibilities Use proprietary software applications to provide input/labels on defined projects. Support and ensure the delivery of high-quality curated data. Play a pivotal role in supporting and contributing to the training of new tasks, working closely with the technical staff to ensure the successful development and implementation of cutting-edge initiatives/technologies. Interact with the technical staff to help improve the design of efficient annotation tools. Choose problems from applied math domains that align with your expertise, focusing on areas such as probability, statistics, numerical analysis, optimization, operations research, dynamical systems, data modeling, and related fields where you can confidently provide detailed solutions and evaluate model responses. Interpret, analyze, and execute tasks based on given instructions. Required Qualifications Must have either (a) a Master’s or PhD in Mathematics with a specialization in a subdomain of applied mathematics (there is a separate position for pure math) or (b) a medal in an International Math Olympiad (IMO) or similar level math competition. Proficiency in reading and writing, both in informal and professional English. Strong ability to navigate various information resources and databases. Outstanding communication, interpersonal, analytical, and organizational capabilities. Solid reading comprehension skills combined with capacity to exercise autonomous judgment even when presented with limited data/material. A strong passion for and commitment to technological advancements and innovation. Preferred Qualifications Math PhD with a specialization in a subdomain of applied mathematics. Peer-reviewed applied math publications in well-regarded journals. Previous AI Tutoring experience and/or experience teaching college courses. Location, Hourly, and Other Expectations This position is based in Palo Alto, CA, or fully remote. The Palo Alto option is an in-office role requiring 5 days per week; remote positions require strong self-motivation. If you are based in the US, please note we are unable to hire in the states of Wyoming and Illinois at this time. We are unable to provide visa sponsorship. Team members are expected to work from 9:00am - 5:30pm PST for the first two weeks of training and 9:00am - 5:30pm in their own timezone thereafter. For those who will be working from a personal device, please note your computer must be a Chromebook, Mac with MacOS 11.0 or later, or Windows 10 or later. You must own and have reliable access to a smartphone. Compensation $45/hour - $100/hour The posted pay range is intended for U.S.-based candidates and depends on factors including relevant experience, skills, education, geographic location, and qualifications. For international candidates, our recruiting team can provide an estimated pay range for your location. Benefits: Hourly pay is just one part of our total rewards package at xAI. Specific benefits vary by country, depending on your country of residence you may have access to medical benefits. We do not offer benefits for part-time roles. xAI is an equal opportunity employer. California Consumer Privacy Act (CCPA) Notice