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This opportunity is only for candidates currently residing in the specified country. Your location may affect eligibility and rates. Please submit your resume in English and indicate your level of English.At Mindrift, innovation meets opportunity. We believe in using the power of collective intelligence to ethically shape the future of AI.What we doThe Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.About the RoleGenAI models are improving very quickly, and one of our goals is to make them capable of addressing specialized questions and achieving complex reasoning skills. If you join the platform as an AI Tutor in US Law, you’ll have the opportunity to collaborate on these projects.Although every project is unique, you might typically:Generate prompts that challenge AI. Define comprehensive scoring criteria to evaluate the accuracy of the AI’s answers. Correct the model’s responses based on your domain-specific knowledge.How to get startedSimply apply to this post, qualify, and get the chance to contribute to projects aligned with your skills, on your own schedule. From creating training prompts to refining model responses, you’ll help shape the future of AI while ensuring technology benefits everyone.RequirementsYou hold an academic degree in Law (Bachelor, J.D., LLM, FLLM) or associate degree in paralegal studies.You have at least 1 year of professional experience in one or more of the following practice areas: International Law, Public International Law, Private International Law, International Human Rights Law, International Trade Law, International Environmental Law, Comparative Law, Constitutional Law, Corporate and Commercial Law. Your level of English is advanced (C1) or above. You are ready to learn new methods, able to switch between tasks and topics quickly and sometimes work with challenging, complex guidelines. Our freelance role is fully remote so, you just need a laptop, internet connection, time available and enthusiasm to take on a challenge.BenefitsWhy this freelance opportunity might be a great fit for you? Get paid for your expertise, with rates that can go up to $7/hour depending on your skills, experience, and project needs.Take part in a part-time, remote, freelance project that fits around your primary professional or academic commitments.Work on advanced AI projects and gain valuable experience that enhances your portfolio.Influence how future AI models understand and communicate in your field of expertise.

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This opportunity is only for candidates currently residing in the specified country. Your location may affect eligibility and rates. Please submit your resume in English and indicate your level of English proficiency.At Mindrift, innovation meets opportunity. We believe in using the power of collective intelligence to ethically shape the future of AI.What we doThe Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.About the RoleGenAI models are improving very quickly, and one of our goals is to make them capable of addressing specialized questions and achieving complex reasoning skills. If you join the platform as an AI Tutor in Accounting, you’ll have the opportunity to collaborate on these projects.Although every project is unique, you might typically: Generate prompts that challenge AI. Define comprehensive scoring criteria to evaluate the accuracy of the AI’s answers. Correct the model’s responses based on your domain-specific knowledge. How to get started Simply apply to this post, qualify, and get the chance to contribute to projects aligned with your skills, on your own schedule. From creating training prompts to refining model responses, you’ll help shape the future of AI while ensuring technology benefits everyone.RequirementsYou hold a Bachelor’s or Master’s Degree in Accounting and/ or in a relevant area.You have at least 3 years of professional experience in one of the following fields: Financial Accounting, Management Accounting, Cost Accounting, Tax Accounting, Auditing, Forensic Accounting, Government Accounting, Nonprofit Accounting, Fund Accounting, International Accounting, Accounting Information Systems, Environmental Accounting, Fiduciary Accounting, Project Accounting, Social Accounting, Inflation Accounting, Human Resource Accounting, Public Accounting, Internal Auditing, External Auditing, Sustainability Accounting, Non-profit Accounting, Managerial Accounting.You are proficient in both IFRS and US GAAP standards.Your level of English is advanced (C1) or above.You are ready to learn new methods, able to switch between tasks and topics quickly and sometimes work with challenging, complex guidelines.Our freelance role is fully remote so, you just need a laptop, internet connection, time available and enthusiasm to take on a challenge.BenefitsWhy this freelance opportunity might be a great fit for you? Get paid for your expertise, with rates that can go up to $16/hour depending on your skills, experience, and project needs.Take part in a part-time, remote, freelance project that fits around your primary professional or academic commitments.Work on advanced AI projects and gain valuable experience that enhances your portfolio.Influence how future AI models understand and communicate in your field of expertise.

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About Us:webAI is pioneering the future of artificial intelligence by establishing the first distributed AI infrastructure dedicated to personalized AI. We recognize the evolving demands of a data-driven society for scalability and flexibility, and we firmly believe that the future of AI lies in distributed processing at the edge, bringing computation closer to the source of data generation. Our mission is to build a future where a company's valuable data and intellectual property remain entirely private, enabling the deployment of large-scale AI models directly on standard consumer hardware without compromising the information embedded within those models. We are developing an end-to-end platform that is secure, scalable, and fully under the control of our users, empowering enterprises with AI that understands their unique business. We are a team driven by truth, ownership, tenacity, and humility, and we seek individuals who resonate with these core values and are passionate about shaping the next generation of AI.About the Role:We are seeking a DevOps/Compliance Engineer to support our Public Sector initiatives by building, securing, and maintaining compliant infrastructure environments for deploying AI models within government and regulated systems. This role bridges modern DevOps practices with the strict compliance and security standards required for federal engagements. You will play a critical role in designing infrastructure automation, ensuring FedRAMP and NIST compliance, and helping deliver secure, auditable, containerized AI solutions to our public sector partners.Responsibilities:Design, implement, and maintain scalable, secure cloud and edge infrastructure for AI workloads in government environments.Manage containerization and orchestration technologies such as Docker and Kubernetes, optimizing for performance, isolation, and compliance.Develop and maintain Infrastructure as Code (IaC) using Terraform, Ansible, or Pulumi to automate secure, compliant infrastructure provisioning.Implement and manage CI/CD pipelines with integrated security controls, encryption, and vulnerability scanning.Ensure compliance with federal security frameworks such as NIST SP 800-53, FedRAMP, and DISA STIGs.Collaborate with Security, Legal, and Public Sector teams to maintain continuous compliance posture and generate audit-ready evidence.Package and deliver software artifacts (containers, binaries, configurations) for deployment in restricted or air-gapped environments.Configure and maintain monitoring, logging, and observability tools to ensure system reliability and compliance visibility.Support MLOps workflows to productionize AI models with consistent, secure automation.Contribute to documentation and knowledge sharing on infrastructure and compliance best practices.Qualifications:Active US Security clearance or eligibility and willingness to obtain a US Security clearance5+ years of experience in DevOps, Site Reliability, or Infrastructure Engineering.Proficiency with Docker, Kubernetes, and cloud-native deployment tools.Strong experience implementing Infrastructure as Code with Terraform, Ansible, or Pulumi.Deep understanding of security and compliance frameworks such as NIST SP 800-53, FedRAMP, and DISA STIGs.Experience with MLOps tools and practices for automating and scaling model deployments.Proficiency in Python, Bash, or Go for automation and scripting.Experience integrating security controls into CI/CD pipelines (GitHub Actions, GitLab CI, Jenkins, etc.).Familiarity with observability tools such as Prometheus, Grafana, ELK, or CloudWatch.Preferred SkillsExperience working within FedRAMP Moderate or High environments.Familiarity with AI model deployment pipelines and model governance best practices.Knowledge of Zero Trust architecture and secure identity management.Strong collaboration skills and ability to work cross-functionally across technical, security, and compliance teams.Excellent written and verbal communication skills for interfacing with government stakeholders and auditors. We at webAI are committed to living out the core values we have put in place as the foundation on which we operate as a team. We seek individuals who exemplify the following:Truth - Emphasizing transparency and honesty in every interaction and decision.Ownership - Taking full responsibility for one’s actions and decisions, demonstrating commitment to the success of our clients. Tenacity - Persisting in the face of challenges and setbacks, continually striving for excellence and improvement.Humility - Maintaining a respectful and learning-oriented mindset, acknowledging the strengths and contributions of others.Benefits:Competitive salary and performance-based incentives.Comprehensive health, dental, and vision benefits package.401k Match (US-based only)$200/mos Health and Wellness Stipend$400/year Continuing Education Credit$500/year Function Health subscription (US-based only)Free parking, for in-office employeesUnlimited Approved PTOParental Leave for Eligible EmployeesSupplemental Life Insurance webAI is an Equal Opportunity Employer and does not discriminate against any employee or applicant on the basis of age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We adhere to these principles in all aspects of employment, including recruitment, hiring, training, compensation, promotion, benefits, social and recreational programs, and discipline. In addition, it is the policy of webAI to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations and ordinances where a particular employee works.

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This opportunity is only for candidates currently residing in the specified country. Your location may affect eligibility and rates. Please provide your resume in English and specify your proficiency level.At Mindrift, innovation meets opportunity. We believe in using the power of collective intelligence to ethically shape the future of AI.What we doThe Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.About the RoleGenAI models are improving very quickly, and one of our goals is to make them capable of addressing specialized questions and achieving complex reasoning skills. If you join the platform as an AI Tutor in Coding, you’ll have the opportunity to collaborate on these projects.  Although every project is unique, you might typically: Code generation and code review Prompt evaluation and complex data annotation Training and evaluation of large language models Benchmarking and agent-based code execution in sandboxed environments Working across multiple programming languages (Python, JavaScript/TypeScript, Rust, SQL, etc.) Adapting guidelines for new domains and use cases Following project-specific rubrics and requirements Collaborating with project leads, solution engineers, and supply managers on complex or experimental projects Note: Flexibility and quick adaptation to new requirements are essential.How to get startedSimply apply to this post, qualify, and get the chance to contribute to projects aligned with your skills, on your own schedule. From creating training prompts to refining model responses, you’ll help shape the future of AI while ensuring technology benefits everyone.RequirementsYou hold a Bachelor's or Master's Degree in Software Development, Computer Science, or other related fields. You have at least 3 years of professional experience, including hands-on experience with Ruby testing frameworks (RSpec, Minitest, Capybara) and automation tools.Your level of English is advanced (C1) or above.Proficient with code review, quality analysis, and identifying/fixing code smells, anti-patterns, and test gaps in Ruby codebases.Experience with test integration in CI/CD environments (GitHub Actions, GitLab CI, Jenkins, or CircleCI)Experience using, integrating, or tutoring others with AI/ML or LLM-powered testing/coding solutions in Ruby projects.Familiarity with containerization technologies (Docker), automated deployment, and scripting within Ruby environments.Strong skills in defect documentation, profiling, and debugging Ruby applications.Experience generating and maintaining high-quality documentation for tests, bugs, and technical debt.Hackathon or competitive coding experience is a plus.You are ready to learn new methods, able to switch between tasks and topics quickly and sometimes work with challenging, complex guidelines.Our freelance role is fully remote so, you just need a laptop, internet connection, time available and enthusiasm to take on a challenge.BenefitsWhy this freelance opportunity might be a great fit for you? Get paid for your expertise, with rates that can go up to $17/hour depending on your skills, experience, and project needs.Take part in a part-time, remote, freelance project that fits around your primary professional or academic commitments.Work on advanced AI projects and gain valuable experience that enhances your portfolio.Influence how future AI models understand and communicate in your field of expertise.

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ResolveGrid.ai is redefining how industrial companies manage complex field engineering operations. Our founders combine deep industry expertise with Silicon Valley experience. ResolveGrid.ai is backed by Andrew Ng’s AI Fund and other notable investors.  ResolveGrid.ai leverages cutting-edge AI to bring unprecedented efficiency, intelligence, and adaptability to industrial workflows. Resolvegrid is already trusted by over 20 enterprise customers. This is a rare chance to shape the technical DNA and product foundation of a platform that will transform how industries scale. You will work directly with our CEO and founding team to build next-generation AI systems for the industrial sector.  This is a hybrid role that will be based in Southern California. As the Head of AI, you will drive the company’s AI strategy and execution. You will lead research, architecture, and productization efforts across AI, ML, and data science. This role sits at the intersection of technical leadership, product innovation, and organizational building.Responsibilities for the Role Include:Define and lead the company’s AI roadmap, from foundational research to applied innovation.Build and manage a world-class AI organization, including ML engineers, data scientists, and research scientists.Design and implement scalable AI/ML infrastructure, including data pipelines, model training frameworks, and evaluation systems.Integrate LLMs, multimodal models, RAG systems, and diffusion models into practical enterprise workflows.Partner with engineering and product teams to transform research into production-grade AI features.Lead the development of internal tools and APIs that accelerate AI experimentation and deployment.Champion AI safety, ethics, and responsible model use within the company.Collaborate with customers to understand their domain challenges and translate them into AI-driven solutions.Stay at the frontier of AI research—evaluating new architectures, foundation models, and trends in GenAI and MLOps.Represent ResolveGrid.ai externally at conferences, in publications, and with strategic partners.Requirements for the Role Include:Advanced degree (MS or PhD) in Computer Science, Artificial Intelligence, or related field.8+ years of hands-on experience in AI/ML research, development, and deployment.Deep expertise in LLMs, multimodal systems, retrieval-augmented generation (RAG), and AI agents.Experience leading technical teams and mentoring top-tier engineering and research talent.Proven track record of building AI systems from concept to production in fast-paced environments.Strong command of MLOps and LLMOps, including CI/CD pipelines, monitoring, evaluation, and lifecycle management.Entrepreneurial mindset: thrives in early-stage startups and can balance vision with practical execution.Excellent communication skills with the ability to translate complex AI concepts to diverse audiences, from technical teams to executives and investors.Nice to Haves for the Role Include:Experience in industrial automation, robotics, or enterprise SaaS.Contributions to open-source AI projects or published research.Familiarity with vector databases, multimodal embeddings, and orchestration frameworks (e.g., LangChain, LlamaIndex, Ray, or Hugging Face).Experience with AI compliance, safety, or model governance frameworks.

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Your New Role and TeamSanctuary AI, a world leader in building AI-based control systems for humanoid robots, is looking for a Director of Product Management to join our team. This role will lead the product management organization and help shape how our products evolve from early concept to real-world deployment. We are looking for a leader who understands the realities of advanced robotics, automation, and intelligent systems, and who can bring clarity, structure, and direction to a fast-moving engineering environment.Our Success CriteriaPartner with leadership to define and execute a long term product strategy and roadmapLead, mentor, and support our product management organization, building a high performance and accountable cultureBring structure to ambiguity and create clear processes that help cross functional teams move quicklyWork closely with engineering, research, and operations to translate requirements into actionable plansCommunicate product vision, priorities, and progress to senior stakeholdersOversee the end to end product lifecycle, ensuring alignment between product decisions and engineering feasibilityCollaborate deeply with development teams to understand constraints, tradeoffs, and technical directionEnsure products meet performance expectations across software, controls, mechanical systems, and user experienceDefine and track key metrics that measure product success and guide iterationDrive continuous improvement through data, market insight, and customer feedbackWork cross functionally with engineering, manufacturing, marketing, sales, and customer success teams to bring products to marketThe role involves international travel, including to U.S. customer locations, and candidates must be able to fulfill these travel obligations without limitation.Experience and QualificationsDegree in Computer Science, Robotics, Engineering, Artificial Intelligence, Machine Learning, or a related technical field, or equivalent experience in technology developmentA minimum of 7 plus years leading cross functional teams building intelligent hardware systems such as humanoid robots, industrial automation systems, automated machinery, or sensor driven platformsMust have strong exposure to embedded machine learning, real time AI systems, or intelligent control softwareSolid understanding of product development processes and the ability to collaborate closely with engineering development teamsDirect industry experience in robotics, industrial automation, or automated machinery is requiredHands on knowledge of manufacturing considerations, including build readiness, production constraints, and scaling challengesStrong leadership ability with experience guiding teams toward clear strategic goalsExcellent communication and negotiation skills, able to work with technical and non technical partnersStrategic mindset with strong analytical problem solving capabilitiesSkillsDeep understanding of how complex mechatronic or robotic systems are developed, validated, and scaledAbility to partner closely with engineering teams across software, AI, controls, and hardwareStrong technical fluency and the ability to translate between engineering detail and business directionAbility to define product strategy in environments with high ambiguity and rapid iterationInnovative mindset with an applied research orientationStrong collaboration abilities, influencing without authority, and aligning diverse stakeholdersTraitsPositive attitude and willingness to do whatever is required to move the mission forwardEmpathetic listener who can navigate conflict with clarityBias for action, communication, and proactive leadershipSelf driven and comfortable solving problems independentlyMission oriented and passionate about bringing human like intelligence to machinesWorking at Sanctuary AISanctuary AI is an equal opportunity employer; employment with Sanctuary AI is governed based on skills, competence, and qualifications and will not be influenced in any way by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability, or any other legally protected status. In 2023, Sanctuary AI moved into a state-of-the-art office facility and has been recognized by LinkedIn as a Top Startup company. Compensation and BenefitsSanctuary offers a market-leading compensation package that includes competitive salaries, equity stakes, and a full suite of benefits for permanent employees, encompassing health coverage, paid time off, cutting-edge work facilities, and worksite flexibility by role. Our commitment to fairness ensures that our total compensation consistently surpasses market standards. About Sanctuary AIFounded in 2018, Sanctuary builds humanoid robots and a novel control system for them that integrates symbolic logic and reasoning with data-driven robot foundation models. We use our robots to collect vision, audio, touch, and proprioception data from the perspective of the robot while they perform real-world work tasks. We use that data to train multimodal robot foundation models. Because our systems are vertically integrated, we can design, deploy, and refine at scale. Our mission is to create the world's first human-like intelligence in general-purpose robots. Recruiting and Employment Agency Notice:Recruitment and hiring is conducted internally by Sanctuary AI. We are not seeking or soliciting any new agency partnerships or agreements at this time. Any employment agency or professional recruiter (“Agency”) that provides an unsolicited resume(s) or otherwise presents a prospective job candidate through the Sanctuary AI career site or directly to any Sanctuary AI employee, irrevocably grants to Sanctuary AI the unrestricted right to engage, hire, or contract with that candidate at Sanctuary AI's sole discretion without any compensation to the Agency. We appreciate your interest in working together, and should the need arise our Talent Acquisition team will contact any external firms directly.

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Founded in 2015, Shield AI is a venture-backed deep-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include the V-BAT and X-BAT aircraft, Hivemind Enterprise, and the Hivemind Vision product lines. With nine offices and facilities across the U.S., Europe, the Middle East, and the Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description:Our 2026 Summer Internship program is a wonderful opportunity for rising 2027 graduates to immerse themselves in an innovative and mission driven culture. Our 10-week paid internship program will provide you with hands on mentorship, an opportunity to add real contribution to our company via your internship project, and a possible job offer at the end. You will have the chance to make lifelong friendships, expand your network, and learn all about what it's like to work in a high-growth, fast scaling tech unicorn. You'll take part in company sponsored events and enjoy exploring a new city. Read on below to learn more about this unique internship! As an intern on the Production Planning team, you will work to establish demonstrated build times for 100% of produced assemblies at the Frisco manufacturing facility. You will be required to observe and time the builds of every unique assembly produced in Frisco. These times will be recorded, part number by part number, and loaded into manufacturing systems. You will be required to move between work centers, track one of each individual assembly, and only time hands-on technician labor. This will require bouncing between orders, activating timers only while builds are active and maintaining a spreadsheet to record all times. Desired end state will be to have a recorded build time for 100% of unique built assemblies. During the course of these builds, you will also observe the “cradle to grave” process of a manufacturing order and offer suggestions for improvements in the flow of material and tracking of orders. Project Goals & Deliverables:Project Objectives:Measure the hands-on labor time of every unique build assembly at the Frisco manufacturing facilityRecord these times into our systems for use in Production Planning capacity decisions.Project Impact on the business:Recording demonstrated build times manually provides a baseline from which to measure existing capacity decision-making tools as well as in-progress Manufacturing Execution System (MES) developmentHaving demonstrated accurate build times allows Production Planning to make mathematically accurate decisions with regards to capacity, labor scheduling, and the loading of new demand. How this supports the interns career path:Witnessing and recording the assembly of a complex airborne vehicle (VBAT) from lowest sub-assemblies to final assembly and test will provide outstanding context to any manufacturing-based career.Recording, maintaining, and loading these builds times will provide the intern with the experience of contributing to the development of an advanced manufacturing system.Project Deliverables:Spreadsheet with at least one recorded build time for every assembly produced at Shield AITimes listed above must be loaded into Shield AI’s ERP systemRequired qualifications:You are an undergraduate, graduate or PhD student expected to graduate in December 2026 or Spring 2027.General / rough understanding of manufacturing basicsAverage (or above) skill level with Microsoft ExcelGood communication skills required to interface with supervisors and technicians of every work centerAttention to detail a mustKPIs & Milestones:At the beginning of the project, a list will be provided of all built assemblies at Shield AI. On a weekly basis, the percentage of completion for the list will be measured as it gets filled out. Likewise, progress of times being loaded into ERP will be tracked on a weekly basis. At the end of the project, both lists must reach 100% completion. 28 - 38Rising Bachelor's graduate = $28/hourRising Master's graduate = $32/hourRising PhD graduate = $38/hour Housing stipend provided, amount based on location#LI-JM1#intern Shield AI is proud to offer competitive pay and a housing stipend for qualified hires. While our People Experience team provides resources and assistance, interns are responsible to find their own housing and travel to and from their office location. All offers are contingent on a cleared background and possible reference check.### Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. 

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At NiCE, we don’t limit our challenges. We challenge our limits. Always. We’re ambitious. We’re game changers. And we play to win. We set the highest standards and execute beyond them. And if you’re like us, we can offer you the ultimate career opportunity that will light a fire within you.So, what’s the role all about? A NiCE Public Safety Account Executive's primary objective is to successfully win new business by positioning NiCE and its solution portfolio with prospects and partners within the Public Safety sector, specifically with Police Agencies, District Attorneys/Prosecutors, Public Defenders, Courts and State Prisons. This position covers the western US including CA, NV, WA, OR, AK and HI. This person will work with the various functions within the company such as: Account Executives on the 911 side of Public Safety business, Solutions Engineering, Business Development, Project Management, Legal, Marketing, Professional Services, Customer Success and Customer Support. This Account Executive will also work with various premier partners outside of our organization in order to gain appointments with prospects to win new business. How will you make an impact?  Achieve assigned sales quota(s) by: (a) selling directly to assigned prospect account targets and (b) supporting the sales efforts of in-territory Partner channels Formulate sales tactics and strategies resulting in market share growth Execute on prospecting/lead generation/cold calling/networking to uncover new sales opportunities Adhere to pre-defined sales process. Ensure opportunities in Salesforce are kept current and align to sales process Achieve weekly sales call activity standards enough to develop a strong pipeline Consistently translate weekly activity into a process of creating sales pipeline that supports the achievement of assigned sales quota(s) Manage and develop existing partner relationship channels Continually learn market needs and future trends in the Public Safety sector Develop and deliver compelling presentations to end users, partners and consultants Work with Sales Engineering team to ensure solution configurations are designed correctly and will maximize the customer’s investment Sell NiCE value, differentiating between NiCE and its competitors when presenting value proposition to potential and existing customers Maintain existing customer relationships with the goal of maximizing revenues long term through relationship building, use them as strong referral sources Have you got what it takes? At least 5 years’ experience selling into Government verticals and/or into the overall Public Safety/Security industry Proven track record of success in working with Business Partners, Systems Integrators and end users Experience in working with government Purchasing personnel related to RFP/Bid responses and state and/or federal contracts Documented history of attaining or exceeding sales quotas Proven consultative selling style with experience in proposal preparation Strong technical knowledge Excellent communication and presentation skills Proven creative problem solving skills Strong desire to win and close business Experience working with and influencing high end decision makers Travel requirement will be 30-50% per month within assigned territory You will have an advantage if you also have: Experience/knowledge of CCaaS, CX, and Conversational AI solutions. Experience/knowledge selling a full suite of SaaS products.  Minimum of 1-2 years selling AI Software Solutions Strong understanding of AI technology & its applications What’s in it for you? Join an ever-growing, market disrupting, global company where the teams – comprised of the best of the best – work in a fast-paced, collaborative, and creative environment! As the market leader, every day at NiCE is a chance to learn and grow, and there are endless internal career opportunities across multiple roles, disciplines, domains, and locations. If you are passionate, innovative, and excited to constantly raise the bar, you may just be our next NiCEr! Requisition ID: 9222 Reporting into: RVP Public Safety Role Type: Individual ContributorAbout NiCE NICE Ltd. (NASDAQ: NICE) software products are used by 25,000+ global businesses, including 85 of the Fortune 100 corporations, to deliver extraordinary customer experiences, fight financial crime and ensure public safety. Every day, NiCE software manages more than 120 million customer interactions and monitors 3+ billion financial transactions. Known as an innovation powerhouse that excels in AI, cloud and digital, NiCE is consistently recognized as the market leader in its domains, with over 8,500 employees across 30+ countries. NiCE is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, age, sex, marital status, ancestry, neurotype, physical or mental disability, veteran status, gender identity, sexual orientation or any other category protected by law.  

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About AnyscaleAt Anyscale, we're on a mission to democratize distributed computing and make it accessible to software developers of all skill levels. We’re commercializing Ray, a popular open-source project that's creating an ecosystem of libraries for scalable machine learning. Companies like OpenAI, Uber, Spotify, Instacart, Cruise, and many more, have Ray in their tech stacks to accelerate the progress of AI applications out into the real world.With Anyscale, we’re building the best place to run Ray, so that any developer or data scientist can scale an ML application from their laptop to the cluster without needing to be a distributed systems expert.Proud to be backed by Andreessen Horowitz, NEA, and Addition with $250+ million raised to date.About the roleThe Customer Support Engineer will play a crucial role in the customers’ post-sale journey - helping them to onboard, adopt and grow on Anyscale, troubleshooting and resolving open customer tickets and driving consumption.Anyscale is an ever evolving platform and hence will require close co-ordination with our engineering teams to debug complex issues. This is an exciting role for those who are technically curious and passionate about ML/AI, LLM, vLLM and the role of AI in next generation applications. It’s an opportunity to make a significant impact in a collaborative, fast-paced environment while building a new segment in this space.In this role, you’ll be able toResolve customer issues and help in their successful adoption of Anyscale platformBe a technical advisor, and internal champion for our key customersOwn customer issues end-to-end, from troubleshooting, triaging, escalations and eventual resolutionParticipate in our follow-the-sun customer support model to ensure continuity in resolving high priority ticketsKeep track of open customer bugs and feature requests to influence prioritization and provide timely customer updates upon resolutionContribute towards improvement of internal tools and documentation of playbooks, guides and best practices etc. based on observed patternsHabitually provide feedback and collaborate cross-functionally with product and engineering teams to address customer issues with a focus on improving the product experienceBuild and maintain strong relationships with technical stakeholders within customer accountsQualifications3+ years of experience in a customer-facing technical role in a dynamic, fast-paced, startup-like environmentStrong organizational skills and ability to manage multiple customer needs simultaneouslyExperience as a machine learning engineerExperience in training, fine-tuning and inference/serving of LLMsKnowledge in one or more of the major cloud platforms (AWS, GCP or Azure)Excellent communication and interpersonal skills.Strong sense of ownership, self-motivation and eagerness to acquire new skills and do new thingsWillingness to uplevel the knowledge and skills of your peers through mentorship, trainings and shadowingBonusExperience with RayKnowledge of MLOps platformsFamiliarity with container orchestration platforms (e.g., Kubernetes), infrastructure as code (e.g. Terraform), CI/CD tools (e.g. Github Actions)Anyscale Inc. is an Equal Opportunity Employer. Candidates are evaluated without regard to age, race, color, religion, sex, disability, national origin, sexual orientation, veteran status, or any other characteristic protected by federal or state law. Anyscale Inc. is an E-Verify company and you may review the Notice of E-Verify Participation and the Right to Work posters in English and Spanish

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Who we are Metropolis is an artificial intelligence company that uses computer vision technology to enable frictionless, checkout-free experiences in the real world. Today, we are reimagining parking to enable millions of consumers to just "drive in and drive out." We envision a future where people transact in the real world with a speed, ease and convenience that is unparalleled, even online. Tomorrow, we will power checkout-free experiences anywhere you go to make the everyday experiences of living, working and playing remarkable - giving us back our most valuable asset, time. Who you are Metropolis is seeking a transformative Accounting Manager to help lead our accounting function, focusing on corporate business operations and financial reporting. This role is crucial for modernizing accounting operations through process automation, scalable processes, and real-time analytics. You will participate in managing the general ledger and financial reporting, drive process improvement, and ensure compliance and participate in the annual audit. The successful candidate will utilize AI and Robotic Process Automation (RPA) to optimize workflows, automate tasks, and enhance efficiency. You will also help lead and develop a team of staff and senior accountants, fostering growth and operational excellence. What you'll do Complete month-end close activities accurately and according to department deadlines Help lead and mentor a team of staff and senior accountants, providing guidance, training, and performance feedback Identify opportunities to improve efficiency through automation and AI-driven tools in accounting workflows Collaborate with finance systems and data teams to implement automated reporting and reconciliation solutions Prepare and post journal entries; collect, analyze, and record data to general ledger system Record accruals, expense allocations, and month-end true-ups Review and reconcile balance sheet accounts monthly; assist with the monthly budgetary process for reporting and variance analysis Maintain financial historical records by filing accounting documents and related support Work closely with internal and external departments to ensure financial transactions are properly recorded and complete; answer accounting and financial questions by researching and interpreting data Participate in year-end audit to compile and prepare supporting schedules, work papers, and financial reports What we're looking for 7+ years of accounting experience Bachelor’s degree in accounting from an accredited university 2+ years of prior leadership experience within an accounting organization Ability to manage time for multiple tasks to meet established deadlines Excellent oral and written communication skills Ability to work with a low-ego, highly collaborative, cross-functional team Experience with accounting automation, AI-enabled analytics tools, or process optimization through technology (e.g., RPA, AI-based reconciliation, or workflow automation) Strong interest in leveraging AI and emerging technologies to enhance financial operations While not required, these are a plus: Experience in real estate CPA certification When you join Metropolis, you'll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $115,000.00 USD to $140,000.00 USD annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis' total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans and more. #LI-AW1 #LI-OnsiteMetropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection Metropolis may utilize an automated employment decision tool (AEDT) to assess or evaluate your candidacy for employment or promotion. AEDTs are used to assist in assessing a candidate’s application relative to the required job qualifications and responsibilities listed in the job posting. As part of this process, Metropolis retains data relevant to your candidacy, including personal information, for a period that is reasonably necessary for the use of the tool. If you are hired for the position, your data may become part of your employee records. Metropolis Technologies is an equal opportunity employer. We make all hiring decisions based on merit, qualifications, and business needs, without regard to race, color, religion, sex (including gender identity, sexual orientation, or pregnancy), national origin, disability, veteran status, or any other protected characteristic under federal, state, or local law.

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Figure is an AI robotics company developing autonomous general-purpose humanoid robots. The goal of the company is to ship humanoid robots with human level intelligence. Its robots are engineered to perform a variety of tasks in the home and commercial markets. Figure is headquartered in San Jose, CA. Figure’s vision is to deploy autonomous humanoids at a global scale. Our Helix team is looking for an experienced Training Infrastructure Engineer, to take our infrastructure to the next level. This role is focused on managing the training cluster, implementing distributed training algorithms, data loaders, and developer tools for AI researchers. The ideal candidate has experience building tools and infrastructure for a large-scale deep learning system. Responsibilities Design, deploy, and maintain Figure's training clusters Architect and maintain scalable deep learning frameworks for training on massive robot datasets Work together with AI researchers to implement training of new model architectures at a large scale Implement distributed training and parallelization strategies to reduce model development cycles Implement tooling for data processing, model experimentation, and continuous integration Requirements Strong software engineering fundamentals Bachelor's or Master's degree in Computer Science, Robotics, Engineering, or a related field Experience with Python and PyTorch Experience managing HPC clusters for deep neural network training Minimum of 4 years of professional, full-time experience building reliable backend systems Bonus Qualifications Experience managing cloud infrastructure (AWS, Azure, GCP) Experience with job scheduling / orchestration tools (SLURM, Kubernetes, LSF, etc.) Experience with configuration management tools (Ansible, Terraform, Puppet, Chef, etc.) The US base salary range for this full-time position is between $150,000 - $350,000 annually. The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended.

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Get to Know UsHorizon3.ai is a fast-growing, remote cybersecurity company dedicated to the mission of enabling organizations to proactively find, fix and verify exploitable attack vectors before criminals exploit them. Our flagship product, the NodeZeroTM platform, delivers production-safe autonomous pentests and other key assessment operations that scale across the largest internal, external, cloud, and hybrid cloud environments. NodeZero has been adopted by organizations of all sizes, from small educational institutions to government agencies and Global 100 enterprises. It is used by IT Ops/SecOps teams, consulting pentesters, and MSSPs and MSPs.We are a fusion of former U.S. Special Operations cyber operators, startup engineers & operators, and formerly frustrated cybersecurity practitioners. We're committed to helping solve our common security problems: ineffective security tools and false positives, resulting in alert fatigue, blind spots, "checkbox” security culture, cybersecurity skills shortage, and the long lead time and expense of hiring outside consultants. Collectively, we are a team of learn-it-alls, committed to a culture of respect, collaboration, ownership, and results.What You’ll DoThe Senior Attack Engineer - Vulnerability Research role is responsible for developing and maintaining core parts of NodeZero’s autonomous penetration testing platform while leveraging the latest InfoSec news to swiftly weaponize newly discovered public vulnerabilities. This platform coordinates execution of an ever-growing set of “attack modules” to efficiently and safely conduct a penetration test in the target environment. You will be involved in tasks ranging from vulnerability research, such as analyzing the web components of popular virtualization technologies, to patch-diffing firmware updates in VPN applications, to software development aimed at enhancing and extending the capabilities of our core product.This is a dynamic position that offers the opportunity to work on a wide range of tasks, from building proof-of-concept exploits to advancing our red teaming technologies.Acquire and configure vulnerable test systems to replicate and validate attack scenarios.Reverse engineer application binaries and patches to identify vulnerabilities.Develop and validate proof-of-concept exploits for identified vulnerabilities and ensure their integration into the core product.Design and implement foundational technology improvements to enable rapid development of exploitation modules.Collaborate closely with engineering teams to enhance product capabilities and develop new features.Maintain a comprehensive global view of emerging vulnerabilities, ensuring Horizon3 remains current with the latest threat landscape. What You’ll Bring Problem-Solving: Strong analytical skills with an aptitude for solving complex technical problems.Self-Motivation: The ability to work independently with minimal supervision, demonstrating initiative and a high level of energy.Collaboration: Work closely with the NodeZero team, N-Day researchers, and adjacent teams to weaponize reverse-engineered exploits for product integration and rapidly develop new cross-functional features.Communication: Strong technical writing and documentation skills, with the ability to convey findings and methodologies to both technical and non-technical stakeholders.Technical Design: Proficiency in designing, presenting, and evaluating technical solutions, ensuring high-quality software and secure development practices.Adaptability: Ability to independently learn and adapt to new technologies, tools, and methodologies.Required Experience/Education:Proficiency in Python: Proficiency in large-scale Python software development.Software Engineering: Strong understanding of secure software development practices, including experience with version control systems like Git and effective team workflows.Reverse Engineering: Experience reversing Java applications, C#, .NET, and native application binaries and experience in reverse engineering technologies like IDA or Ghidra.Vulnerability Exploitation: In-depth knowledge of common Remote Code Execution (RCE) techniques such as SQL injection, path traversal, and buffer overflow exploits.Network Protocols: Strong understanding of network protocols and their intricacies, including their role in exploitation vectors.Database Experience: Experience with relational (Postgres) or graph (Neo4j) database systems.Equivalent experience may be considered if demonstrable through proof-of-concept write-ups, published vulnerability research, or similar achievements.Desired Skills:Bachelor's Degree in Computer Science, Computer Engineering or related field.Experience with vulnerability disclosure processes.Published CVEs or experience with bug bounty and web app pentesting.Experience with additional programming languages, including C, C++, Rust, or Assembly.Familiarity with Nuclei and Metasploit for automated vulnerability scanning and exploitation.Experience working in AWS and other cloud environments.Previous experience working on large-scale software projects.Knowledge of and experience with Docker, Kubernetes and related containerization technologies.Certifications (optional but preferred)OSCP (Offensive Security Certified Professional) or equivalent certifications.Travel RequiredWe are a fully remote company, and this job may require up to 5% of travel to be successful.Compensation and ValuesAt Horizon3, we believe that our people are our greatest asset, and our compensation philosophy reflects this core value. We are committed to fostering an environment where all employees feel valued, respected, and rewarded for their contributions. Our compensation structure is designed to be fair, competitive, and transparent, ensuring that every team member is recognized and compensated equitably across roles, levels, and locations.In accordance with various State’s transparency regulations, we provide the following salary range information for this position:Base salary range: $195,000 - $242,000 annually. The exact salary will be determined based on the selected candidate’s location, qualifications, experience, and relevant skills.Additional compensation: All full-time roles are eligible for an equity package in the form of stock options.Perks of Horizon3.aiInclusive Team: We value diversity and promote an inclusive culture where everyone can thrive.Growth Opportunities: Be part of a dynamic and growing team with numerous career development opportunities.Innovative Culture: Work in a collaborative environment that encourages creativity and out-of-the-box thinking.Remote Work: We are a 100% remote company. Enjoy the flexibility to work in the way that supports you and brings out your best.Competitive Compensation: We offer competitive salary, equity and benefits. Our benefits include health, vision & dental insurance for you and your family, a flexible vacation policy, and generous parental leave.You Belong HereHorizon3 is not just an equal opportunity employer - we are a community that values diversity, equity, and inclusion as fundamental principles of our culture and success. We are dedicated to fostering a workplace where everyone feels welcome and respected, regardless of race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, hair length or any other legally protected status by law.Our commitment to diversity and inclusion means we strive to attract, develop, and retain a workforce that reflects the varied communities we serve. We believe that diverse perspectives drive innovation and strengthen our ability to create cutting-edge cybersecurity solutions. At Horizon3, every team member is valued and supported in an environment that encourages personal and professional growth.We welcome candidates from all backgrounds and experiences, and we encourage all qualified individuals to apply. Come be a part of Horizon3, where your unique contributions are recognized, and your potential is limitless.Other DutiesPlease note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee. Duties, responsibilities, and activities may change at any time with or without notice.Application NoteIn any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information

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Figure is an AI robotics company developing autonomous general-purpose humanoid robots. The goal of the company is to ship humanoid robots with human level intelligence. Its robots are engineered to perform a variety of tasks in the home and commercial markets. Figure is headquartered in San Jose, CA. Figure’s vision is to deploy autonomous humanoids at a global scale. Our Helix team is looking for an experienced Training Infrastructure Engineer, to take our infrastructure to the next level. This role is focused on managing the training cluster, implementing distributed training algorithms, data loaders, and developer tools for AI researchers. The ideal candidate has experience building tools and infrastructure for a large-scale deep learning system. Responsibilities Design, deploy, and maintain Figure's training clusters Architect and maintain scalable deep learning frameworks for training on massive robot datasets Work together with AI researchers to implement training of new model architectures at a large scale Implement distributed training and parallelization strategies to reduce model development cycles Implement tooling for data processing, model experimentation, and continuous integration Requirements Strong software engineering fundamentals Bachelor's or Master's degree in Computer Science, Robotics, Engineering, or a related field Experience with Python and PyTorch Experience managing HPC clusters for deep neural network training Minimum of 4 years of professional, full-time experience building reliable backend systems Bonus Qualifications Experience managing cloud infrastructure (AWS, Azure, GCP) Experience with job scheduling / orchestration tools (SLURM, Kubernetes, LSF, etc.) Experience with configuration management tools (Ansible, Terraform, Puppet, Chef, etc.) The US base salary range for this full-time position is between $150,000 - $350,000 annually. The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended.

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About Faculty At Faculty, we transform organisational performance through safe, impactful and human-centric AI. With more than a decade of experience, we provide over 350 global customers with software, bespoke AI consultancy, and Fellows from our award winning Fellowship programme. Our expert team brings together leaders from across government, academia and global tech giants to solve the biggest challenges in applied AI. Should you join us, you’ll have the chance to work with, and learn from, some of the brilliant minds who are bringing Frontier AI to the frontlines of the world.About the team Our Government and Public Services business unit is committed to leveraging AI for the benefit of individual citizens and the public good. From our work informing strategic government decisions, to optimising our NHS, through to protecting children from harmful online content - we know that AI offers opportunities to drive improvements at every level of Government and we are proud to lead on some of the most impactful work happening in the sector.About the role As a Lead Learning Engineer at Faculty, you’ll ensure our AI-powered education solutions are grounded in learning science, measurably effective, and set a global standard for education innovation and excellence. You will set the strategy for learning design and evaluation, drive the creation and adoption of our Learning Engineering Playbook, and ensure our products genuinely improve how people learn. Working closely with senior leadership and cross-functional teams, you will architect scalable, data-rich learning systems and guide others to embed best-in-class learning science into our product development. What you'll be doing: Defining learning goals and skill models, and breaking them down into scaffolded tasks, assessments, feedback loops, and adaptivity logic.Designing instrumentation schemas (i.e., the events, labels, and outcomes we track) and setting metrics that link product use to learning outcomes like mastery or retention.Leading formative studies and collaborating on summative evaluations to validate learning impact.Working closely with UX, data science, and engineering teams to ensure learning-science principles are embedded in user flows and data pipelines.Contributing to Faculty’s Learning Engineering Playbook, refining design principles, checklists, and measurement tools to support reuse and consistency across projects.Supporting cross-functional teams and clients in applying learning-science best practice through collaborative design sessions and informal coaching.Who we're looking for: You have a strong foundation in learning sciences, instructional design, educational psychology, or a related field (advanced degree preferred).You’ve designed digital learning experiences and understand how to build effective user interactions in adaptive or AI-supported tools.You’re comfortable designing and analysing learning instrumentation — from A/B testing to formative or quasi-experimental studies.You can collaborate confidently with data scientists and engineers — specifying evaluation metrics, designing telemetry flows, and ensuring data supports learning outcomes.You’re a clear communicator who can translate complex learning-science ideas into practical input for product and engineering teams.What we can offer you: The Faculty team is diverse and distinctive, and we all come from different personal, professional and organisational backgrounds. We all have one thing in common: we are driven by a deep intellectual curiosity that powers us forward each day. Faculty is the professional challenge of a lifetime. You’ll be surrounded by an impressive group of brilliant minds working to achieve our collective goals. Our consultants, product developers, business development specialists, operations professionals and more all bring something unique to Faculty, and you’ll learn something new from everyone you meet.

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About UsHippocratic AI has developed the only safe, safety-focused Large Language Model (LLM) for healthcare, resulting in the only autonomous patient-facing clinical agents in the industry. We are delivering abundance for the first time in healthcare by bringing deep clinical expertise to every human. No other technology has the potential to have this level of global impact on health. Come join the most capitalized healthcare AI company with the most deployed customers and the broadest platform of applications. Our highly mission-oriented team, coupled with innovative partners like the Cleveland Clinic, Baylor Scott & White, Northwestern, Wellspan, HCA, and Oschner, is building the most transformative company in healthcare in history.Why Join Our TeamReinvent healthcare with AI that puts safety first. We’re building the world’s first healthcare-only, safety-focused LLM — a breakthrough platform designed to transform patient outcomes at a global scale. This is category creation.Work with the people shaping the future. Hippocratic AI was co-founded by CEO Munjal Shah and a team of physicians, hospital leaders, AI pioneers, and researchers from institutions like El Camino Health, Johns Hopkins, Washington University in St. Louis, Stanford, Google, Meta, Microsoft, and NVIDIA.Backed by the world’s leading healthcare and AI investors. We recently raised a $126M Series C at a $3.5B valuation, led by Avenir Growth, bringing total funding to $404M with participation from CapitalG, General Catalyst, a16z, Kleiner Perkins, Premji Invest, UHS, Cincinnati Children’s, WellSpan Health, John Doerr, Rick Klausner, and others.Build alongside the best in healthcare and AI. Join experts who’ve spent their careers improving care, advancing science, and building world-changing technologies — ensuring our platform is powerful, trusted, and truly transformativeAbout the RoleHippocratic AI is seeking a Director of Life Sciences Marketing to define, build, and lead our vertical marketing strategy for Healthcare Generative AI agents serving the life sciences sector. The ideal candidate is a strategic B2B healthcare marketer who understands the complexities of enterprise pharma workflows and can translate technical AI agent capabilities into messaging that resonates with cross-functional stakeholders that may include Medical Affairs, Safety, Clinical, IT, healthcare professionals, and Digital Innovation.What You'll DoVertical Strategy & NarrativeOwn the segment strategy for life sciences: ICP definition, buyer personas, and use case mapping.Develop a category-defining narrative for safe, compliant AI in pharmaceutical operations.Product Marketing for AI AgentsDefine and own messaging architecture, solution briefs, competitive positioning, and sales enablement content.Translate AI model capabilities (e.g., escalation protocols, human-in-the-loop safety layers) into clear, compliant claims and buyer-ready value propositions.Create demos, talk tracks, objection handling, and ROI calculators to accelerate enterprise adoption.Evidence, Safety & Compliance CommunicationsPartner with internal and external teams to create compliant case studies and other assets.Communicate operational outcomes such as adherence, case resolution quality, user satisfaction.Demand Gen, ABM, and Event MarketingLaunch account-based marketing (ABM) programs for named pharma accounts with personalization across email, events, and content syndication.Work with marketing team members and go to market teams to drive field marketing strategy across key pharma conferences/events, including booth strategy, speaking submissions, and pre/post campaign execution.Establish performance reporting for funnel metrics, attribution, and campaign effectiveness.What You BringMust Have:8+ years of B2B healthcare marketing with 4+ in life sciences/pharmaDeep understanding of pharma operations workflows across Medical, Safety, Access, Patient Services, or Clinical.Experience bringing solutions to market, ideally at an early or growth-stage company.Knowledge of LLM architecture and agent safety frameworksStrong grasp of life sciences complianceFluent in ABM, marketing automation, CRM tools, and enterprise sales enablementNice to Have:Familiarity with contact center operations, knowledge base governance, or clinical content systems used in pharma.Experience marketing to Digital Health/Innovation teams within life sciences orgs.Understanding of AI governance frameworks.Advanced degree a plus.Join us and help build the future of safe, life-changing AI in healthcare. There’s never been a more exciting moment to make an impact.***Be aware of recruitment scams impersonating Hippocratic AI. All recruiting communication will come from @hippocraticai.com email addresses. We will never request payment or sensitive personal information during the hiring process. If anything

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About Faculty At Faculty, we transform organisational performance through safe, impactful and human-centric AI. With more than a decade of experience, we provide over 350 global customers with software, bespoke AI consultancy, and Fellows from our award winning Fellowship programme. Our expert team brings together leaders from across government, academia and global tech giants to solve the biggest challenges in applied AI. Should you join us, you’ll have the chance to work with, and learn from, some of the brilliant minds who are bringing Frontier AI to the frontlines of the world.About the team Our Government and Public Services business unit is committed to leveraging AI for the benefit of individual citizens and the public good. From our work informing strategic government decisions, to optimising our NHS, through to protecting children from harmful online content - we know that AI offers opportunities to drive improvements at every level of Government and we are proud to lead on some of the most impactful work happening in the sector.About the role As a Lead Learning Engineer at Faculty, you’ll ensure our AI-powered education solutions are grounded in learning science, measurably effective, and set a global standard for education innovation and excellence. You will set the strategy for learning design and evaluation, drive the creation and adoption of our Learning Engineering Playbook, and ensure our products genuinely improve how people learn. Working closely with senior leadership and cross-functional teams, you will architect scalable, data-rich learning systems and guide others to embed best-in-class learning science into our product development. What you'll be doing: Leading the design of learning goals, skill models, adaptivity logic, and feedback systems across flagship education projects.Creating and owning Faculty’s Learning Engineering Playbook, defining best practices for scaffolding, feedback loops, measurement rubrics, and data instrumentation (i.e., how we track learning progress through user interactions).Designing and overseeing rigorous evaluations including formative, summative, and quasi-experimental studies to test product effectiveness and improve learning outcomes.Collaborating with product, data science, and engineering leads to co-architect learning systems that are technically robust and pedagogically sound.Coaching and mentoring Learning Engineers and cross-functional colleagues (PM, UX, DS) to apply learning science principles in day-to-day product decisions.Acting as the internal and external subject matter expert on learning science, representing Faculty in strategic conversations with senior clients. Who we're looking for:You have expert-level knowledge of learning sciences, instructional design, and cognitive or behavioural science.You’ve led the design and evaluation of complex digital learning systems, especially adaptive or AI-driven tools at scale.You bring deep expertise in defining data instrumentation and running robust evaluation strategies to measure learning impact (e.g., mastery, retention, transfer).You can partner confidently with data scientists and engineers to design adaptive systems and telemetry pipelines rooted in pedagogy.You’re an excellent communicator with the ability to influence senior stakeholders and guide product strategy through the lens of learning science. What we can offer you: The Faculty team is diverse and distinctive, and we all come from different personal, professional and organisational backgrounds. We all have one thing in common: we are driven by a deep intellectual curiosity that powers us forward each day. Faculty is the professional challenge of a lifetime. You’ll be surrounded by an impressive group of brilliant minds working to achieve our collective goals. Our consultants, product developers, business development specialists, operations professionals and more all bring something unique to Faculty, and you’ll learn something new from everyone you meet.

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About UsHippocratic AI is the leading generative AI company in healthcare. We have the only system that can have safe, autonomous, clinical conversations with patients. We have trained our own LLMs as part of our Polaris constellation, resulting in a system with over 99.9% accuracy.Why Join Our TeamReinvent healthcare with AI that puts safety first. We’re building the world’s first healthcare-only, safety-focused LLM — a breakthrough platform designed to transform patient outcomes at a global scale. This is category creation.Work with the people shaping the future. Hippocratic AI was co-founded by CEO Munjal Shah and a team of physicians, hospital leaders, AI pioneers, and researchers from institutions like El Camino Health, Johns Hopkins, Washington University in St. Louis, Stanford, Google, Meta, Microsoft, and NVIDIA.Backed by the world’s leading healthcare and AI investors. We recently raised a $126M Series C at a $3.5B valuation, led by Avenir Growth, bringing total funding to $404M with participation from CapitalG, General Catalyst, a16z, Kleiner Perkins, Premji Invest, UHS, Cincinnati Children’s, WellSpan Health, John Doerr, Rick Klausner, and others.Build alongside the best in healthcare and AI. Join experts who’ve spent their careers improving care, advancing science, and building world-changing technologies — ensuring our platform is powerful, trusted, and truly transformative.We believe the best ideas happen together. To support fast collaboration and a strong team culture, this role is expected to be in our Palo Alto office five days a week unless otherwise specified.About the RoleWe're looking for an AI Integration Engineer to help bridge healthcare data systems with our clinical AI platform. You'll work at the intersection of healthcare interoperability, system design, and data engineering — connecting EHRs, APIs, and analytics pipelines that make our AI models work at scale.In this role, you'll collaborate with delivery leads, product managers, and customer engineers to design and build reliable integrations using modern interoperability standards. Most of your work will involve Python-based data transformation and interface development, integrating with HL7 v2, FHIR, and RESTful APIs. You'll also coordinate with offshore engineers to deliver high-quality solutions on time.You'll have the opportunity to shape our integration framework, define reusable patterns, and improve performance and reliability across the platform.What You'll DoDesign, build, and maintain healthcare data integrations using Python, HL7 v2, FHIR, REST APIs, and SQL.Collaborate with product and delivery teams to translate requirements into scalable, testable integration flows.Coordinate with offshore teams on implementation, review, and QA.Monitor and optimize performance across live integrations, identifying and resolving bottlenecks.Contribute to reusable components and integration templates that improve delivery efficiency.Troubleshoot production issues, lead root-cause analysis, and ensure smooth resolution.What You BringMust Have:5+ years of experience in healthcare integration or interoperability engineering.Strong understanding of HL7 v2, FHIR, and X12 standards.Hands-on experience with Python and at least one integration engine (Mirth, Rhapsody, InterSystems IRIS, or Redox).Comfortable working with RESTful APIs, JSON, and SQL.Excellent communication and collaboration skills across technical and non-technical teams.Strong ownership mindset with attention to reliability, scalability, and qualityNice to Have:Familiarity with EHR APIs (Epic, Cerner, AthenaOne, or similar).Knowledge of FHIR bulk data workflows.Experience with CI/CD, containerization (Docker), or cloud-based deployment pipelines.Background in AI/ML data pipelines or healthcare analytics.Join us and help build the future of safe, life-changing AI in healthcare. There’s never been a more exciting moment to make an impact.***Be aware of recruitment scams impersonating Hippocratic AI. All recruiting communication will come from @hippocraticai.com email addresses. We will never request payment or sensitive personal information during the hiring process. If anything

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Dataiku is The Universal AI Platform™, giving organizations control over their AI talent, processes, and technologies to unleash the creation of analytics, models, and agents. Providing no-, low-, and full-code capabilities, Dataiku meets teams where they are today, allowing them to begin building with AI using their existing skills and knowledge.Dataiku’s promise to our customers is to provide them with the software and support needed to accelerate their Data Science and Machine Learning maturity. Dataiku’s Data Science team is responsible for delivering on that promise. As an AI Solution Architect at Dataiku, you will have the opportunity to participate in our customers' journeys, from supporting their discovery of the platform to coaching users and co-developing data science applications from design to deployment. You will work mostly for our customers in the financial services and insurance industries. You will get hands-on experience coding in multiple languages (mostly Python, occasionally R, SQL, Pyspark, JavaScript, etc.) and applying the latest big data technologies to business use cases. Our ideal candidate is comfortable learning new languages, technologies, and modelling techniques while being able to explain their work to other data scientists and clients.  Key Areas of Responsibility (What You’ll Do) Help users discover and master the Dataiku platform through user training, office hours, demos, and ongoing consultative support. Analyse and investigate various kinds of data and machine learning applications across industries and use cases. Provide strategic input to the customer and account teams that help make our customers successful. Scope and co-develop production-level data science projects with our customers. Mentor and help educate data scientists and other customer team members to aid in career development and growth. Experience (What We’re Looking For) French and English - fluent Curiosity and a desire to learn new technical skills. Empathy and an eagerness to share your knowledge with your colleagues, Dataiku’s customers, and the general public. Ability to clearly explain complex topics to technical as well as non-technical audiences. Over 5 years of experience with coding (Python, R, SQL). Over 5 years of experience building ML models.   Understanding of underlying data systems and platform mechanics such as Cloud architectures, K8S, Spark, and SQL.  Bonus points for any of these Experience with Consulting and/or Customer-facing Data Science roles. Experience in the bank & insurance, or manufacturing industries. Experience with Spark, SAS, Data Engineering or MLOps. Experience developing web apps in JavaScript, RShiny, or Dash. Experience building APIs. Experience using enterprise data science tools. Passion for teaching or public speaking. #LI-Hybrid  What are you waiting for! At Dataiku, you'll be part of a journey to shape the ever-evolving world of AI. We're not just building a product; we're crafting the future of AI. If you're ready to make a significant impact in a company that values innovation, collaboration, and your personal growth, we can't wait to welcome you to Dataiku! And if you’d like to learn even more about working here, you can visit our Dataiku LinkedIn page.   Our practices are rooted in the idea that everyone should be treated with dignity, decency and fairness. Dataiku also believes that a diverse identity is a source of strength and allows us to optimize across the many dimensions that are needed for our success. Therefore, we are proud to be an equal opportunity employer. All employment practices are based on business needs, without regard to race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. This applies to all policies and procedures related to recruitment and hiring, compensation, benefits, performance, promotion and termination and all other conditions and terms of employment. If you need assistance or an accommodation, please contact us at: reasonable-accommodations@dataiku.com     Protect yourself from fraudulent recruitment activity Dataiku will never ask you for payment of any type during the interview or hiring process. Other than our video-conference application, Zoom, we will also never ask you to make purchases or download third-party applications during the process. If you experience something out of the ordinary or suspect fraudulent activity, please review our page on identifying and reporting fraudulent activity here.

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About Glean: Glean is the Work AI platform that helps everyone work smarter with AI. What began as the industry’s most advanced enterprise search has evolved into a full-scale Work AI ecosystem, powering intelligent Search, an AI Assistant, and scalable AI agents on one secure, open platform. With over 100 enterprise SaaS connectors, flexible LLM choice, and robust APIs, Glean gives organizations the infrastructure to govern, scale, and customize AI across their entire business - without vendor lock-in or costly implementation cycles. At its core, Glean is redefining how enterprises find, use, and act on knowledge. Its Enterprise Graph and Personal Knowledge Graph map the relationships between people, content, and activity, delivering deeply personalized, context-aware responses for every employee. This foundation powers Glean’s agentic capabilities - AI agents that automate real work across teams by accessing the industry’s broadest range of data: enterprise and world, structured and unstructured, historical and real-time. The result: measurable business impact through faster onboarding, hours of productivity gained each week, and smarter, safer decisions at every level. Recognized by Fast Company as one of the World’s Most Innovative Companies (Top 10, 2025), by CNBC’s Disruptor 50, Bloomberg’s AI Startups to Watch (2026), Forbes AI 50, and Gartner’s Tech Innovators in Agentic AI, Glean continues to accelerate its global impact. With customers across 50+ industries and 1,000+ employees in more than 25 countries, we’re helping the world’s largest organizations make every employee AI-fluent, and turning the superintelligent enterprise from concept into reality. If you’re excited to shape how the world works, you’ll help build systems used daily across Microsoft Teams, Zoom, ServiceNow, Zendesk, GitHub, and many more - deeply embedded where people get things done. You’ll ship agentic capabilities on an open, extensible stack, with the craft and care required for enterprise trust, as we bring Work AI to every employee, in every company.  About the Role:   Glean is looking for a AI Marketing Engineer, Agents to help technical teams build agents that can automate real work processes. You’ll master the art of agent building, understand architectural best practices, and then translate those to the broader customer base and agent builders everywhere.   At Glean, we believe AI agents are the next generation of apps—working alongside and on behalf of users and teams to get high-value work done. Building these agents requires both an understanding of what’s possible with AI and how businesses operate. This combination of technical and business expertise is what will help enterprises accelerate their path to agent adoption. We’re looking for someone who has been hands-on building agents that transform businesses. You’ll play a key role in taking these learnings and educating the market: capturing the mindshare of technical teams building agents, building ready-to-use agents, and defining architectural best practices for agentic automation.   You will: Build and scale agents that transform how businesses operate, driving adoption through enablement resources such as implementation guides, blogs, and live build sessions. Understand enterprise agent architectures in depth and translate those learnings into whitepapers, consulting sessions, and best-practice guides for technical teams. Cultivate relationships with agent builders, capturing their feedback and turning it into actionable insights that deepen trust and engagement with Glean Agents. Empower technical teams by creating high-quality tutorials, how-to guides, and blog posts that demonstrate best practices and accelerate adoption of Glean Agents. Represent Glean at conferences and events showcasing real-world enterprise agent architectures and learnings. About you:   4+ years of experience in outbound solutions architecture, with a strong track record of understanding customer requirements, translating them into architectural best practices, and packaging product solutions that drive adoption. You should also have hands-on experience building agents. Deep understanding of AI models and agent systems — including planners, tool use, memory, context engineering, and evaluation — so you can clearly explain concepts and tradeoffs to technical teams. Ability to translate business goals into technical agent architectures, and package up resources for both internal and external teams on how to identify the right agents, design them effectively, and actually build them. Passion for communication, storytelling, and technical writing. You bring clarity to complexity and make technical ideas feel exciting, relevant, and actionable. Strong technical skills. You can build agents in code or natural language, evaluate their quality, and use advanced agent tools to meaningfully improve performance. Collaborative and influential. You work seamlessly across marketing, engineering, and product, helping take lessons learned and feed them to the broader agent-building community. Location:  This is a hybrid position based in our San Francisco or Palo Alto office. You should also be prepared to travel for events and workshops. Compensation & Benefits:   The standard base salary range for this position is $160,000 - $250,000 annually. Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits. We offer a comprehensive benefits package including competitive compensation, Medical, Vision, and Dental coverage, generous time-off policy, and the opportunity to contribute to your 401k plan to support your long-term goals. When you join, you'll receive a home office improvement stipend, as well as an annual education and wellness stipends to support your growth and wellbeing. We foster a vibrant company culture through regular events, and provide healthy lunches daily to keep you fueled and focused. We are a diverse bunch of people and we want to continue to attract and retain a diverse range of people into our organization. We're committed to an inclusive and diverse company. We do not discriminate based on gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race.   #LI-HYBRID

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Dataiku is The Universal AI Platform™, giving organizations control over their AI talent, processes, and technologies to unleash the creation of analytics, models, and agents. Providing no-, low-, and full-code capabilities, Dataiku meets teams where they are today, allowing them to begin building with AI using their existing skills and knowledge.Dataiku’s promise to our customers is to provide them with the software and support needed to accelerate their Data Science and Machine Learning maturity. Dataiku’s Data Science team is responsible for delivering on that promise. As an AI Solution Architect at Dataiku, you will have the opportunity to participate in our customers' journeys, from supporting their discovery of the platform to coaching users and co-developing data science applications from design to deployment. You will work mostly for our customers in the financial services and insurance industries. You will get hands-on experience coding in multiple languages (mostly Python, occasionally R, SQL, Pyspark, JavaScript, etc.) and applying the latest big data technologies to business use cases. Our ideal candidate is comfortable learning new languages, technologies, and modelling techniques while being able to explain their work to other data scientists and clients.  Key Areas of Responsibility (What You’ll Do) Help users discover and master the Dataiku platform through user training, office hours, demos, and ongoing consultative support. Analyse and investigate various kinds of data and machine learning applications across industries and use cases. Provide strategic input to the customer and account teams that help make our customers successful. Scope and co-develop production-level data science projects with our customers. Mentor and help educate data scientists and other customer team members to aid in career development and growth. Experience (What We’re Looking For) French and English - fluent Curiosity and a desire to learn new technical skills. Empathy and an eagerness to share your knowledge with your colleagues, Dataiku’s customers, and the general public. Ability to clearly explain complex topics to technical as well as non-technical audiences. Over 5 years of experience with coding (Python, R, SQL). Over 5 years of experience building ML models.   Understanding of underlying data systems and platform mechanics such as Cloud architectures, K8S, Spark, and SQL.  Bonus points for any of these Experience with Consulting and/or Customer-facing Data Science roles. Experience in the bank & insurance, or manufacturing industries. Experience with Spark, SAS, Data Engineering or MLOps. Experience developing web apps in JavaScript, RShiny, or Dash. Experience building APIs. Experience using enterprise data science tools. Passion for teaching or public speaking. #LI-Hybrid  What are you waiting for! At Dataiku, you'll be part of a journey to shape the ever-evolving world of AI. We're not just building a product; we're crafting the future of AI. If you're ready to make a significant impact in a company that values innovation, collaboration, and your personal growth, we can't wait to welcome you to Dataiku! And if you’d like to learn even more about working here, you can visit our Dataiku LinkedIn page.   Our practices are rooted in the idea that everyone should be treated with dignity, decency and fairness. Dataiku also believes that a diverse identity is a source of strength and allows us to optimize across the many dimensions that are needed for our success. Therefore, we are proud to be an equal opportunity employer. All employment practices are based on business needs, without regard to race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. This applies to all policies and procedures related to recruitment and hiring, compensation, benefits, performance, promotion and termination and all other conditions and terms of employment. If you need assistance or an accommodation, please contact us at: reasonable-accommodations@dataiku.com     Protect yourself from fraudulent recruitment activity Dataiku will never ask you for payment of any type during the interview or hiring process. Other than our video-conference application, Zoom, we will also never ask you to make purchases or download third-party applications during the process. If you experience something out of the ordinary or suspect fraudulent activity, please review our page on identifying and reporting fraudulent activity here.