Find AI Work That Works for You

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About Us: Observe.AI enables enterprises to transform how they connect with customers - through AI agents and copilots that engage, assist, and act across every channel. From automating conversations to guiding human agents in real time to uncovering insights that shape strategy, Observe.AI turns every interaction into a driver of loyalty and growth. Trusted by global leaders, we’re creating a future where every customer experience is smarter, faster, and more impactful. Why Join Us  At Observe.AI, DevOps isn’t just about maintaining infrastructure—it’s about building scalable, reliable, and secure systems that empower innovation across the organization. As a DevOps Engineer, you’ll help design and automate the foundation that powers our AI/ML platforms, ensuring seamless operations across AWS accounts, Kubernetes clusters, and diverse environments while driving efficiency and cost optimization. You’ll work on automation that goes beyond CI/CD, tackling challenges in scalability, reliability, and security, while collaborating closely with engineering, data, and product teams to create resilient systems. If you’re looking for an opportunity where your expertise shapes the future of our infrastructure, your work enables faster innovation, and your growth is fueled by solving meaningful challenges alongside a talented team, this is the place for you. What you’ll be doing  Help in the definition of best practices in production monitoring and alerting and able to own application of the same Assist and troubleshoot  in the setup and maintenance of various environments (Production, testing, etc) Automate, optimize and drive efficiency of effort, code, and process Be able to assist with product stability and closely collaborate with other tech teams to suggest improvements for the same Assist in the implementation of security best practices, especially in public cloud infrastructure and in audit/compliance requirements. Own integration of existing systems using appropriate Kubernetes/ docker / Terraform scripts to automate and improve the efficiency of the deployment  Develop CI/CD pipelines for various services Coordinate and monitor releases of the same What you’ll bring to the role Expertise in scripting and programming skills (e.g., Python, Shell, Go). Good problem-solving and hands-on with the programming language or scripting for infra-automation CI/CD experience with Jenkins and cloud deployment technologies like Code Deploy (AWS), and/or GitLab. Understanding of enterprise software development and infrastructure processes and lifecycle; ability to adjust and apply this knowledge in a dynamic environment using Agile or similar methodologies. Hands-on experience with Infrastructure as Code, using Terraform, CloudFormation, or other tools. Hands-on experience with microservices and distributed applications, such as orchestration and containers, Kubernetes, and/or serverless technology. Understanding of different kinds of infra components such as DB/pub-sub services/cache etc. Bachelors or Masters Degree in Engineering Perks & Benefits  Excellent medical insurance options and free online doctor consultations Yearly privilege and sick leaves as per Karnataka S&E Act Generous holidays (National and Festive) recognition and parental leave policies Learning & Development fund to support your continuous learning journey and professional development Fun events to build culture across the organization Flexible benefit plans for tax exemptions (i.e. Meal card, PF, etc.) Our Commitment to Inclusion and Belonging Observe.AI is an Equal Employment Opportunity employer that proudly pursues and hires a diverse workforce. Observe AI does not make hiring or employment decisions on the basis of race, color, religion or religious belief, ethnic or national origin, nationality, sex, gender, gender identity, sexual orientation, disability, age, military or veteran status, or any other basis protected by applicable local, state, or federal laws or prohibited by Company policy. Observe.AI also strives for a healthy and safe workplace and strictly prohibits harassment of any kind. We welcome all people. We celebrate diversity of all kinds and are committed to creating an inclusive culture built on a foundation of respect for all individuals. We seek to hire, develop, and retain talented people from all backgrounds. Individuals from non-traditional backgrounds, historically marginalized or underrepresented groups are strongly encouraged to apply. If you are ambitious, make an impact wherever you go, and you're ready to shape the future of Observe.AI, we encourage you to apply. For more information, visit www.observe.ai. 

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Together AI is seeking a Lead DX Engineer – documentation to be the founding member of our docs team and focus on owning and improving our documentation. Docs are an incredibly important part of the success of our platform, so this is an important role that will be reporting to our Director of Developer Experience. This role is for a senior engineer who is obsessed about developer experience, enjoys writing and educating developers, and wants to lead building world class docs, including eventually building out their own team. We’re looking for someone with expertise to lead comprehensive documentation efforts and drive adoption among the global developer community. Required Qualifications 5+ years of experience in technical writing, engineering, and/or developer education Experience building AI applications and working with LLMs Proven track record of creating content (docs/guides/cookbooks) about developer tools Excellent technical communication skills with ability to explain complex concepts to various developer audiences Proficiency in writing code examples with Python and TypeScript Quickly adapt to new domains, learning and articulating complex concepts into clear, comprehensive content Understanding of LLM APIs including features like structured outputs & function calling a plus Key Responsibilities Lead the comprehensive documentation strategy across our products Write comprehensive guides on how to do inference, finetuning, and training on our platform Collab with the engineering team to document & showcase new features as they come out, with Python and TypeScript examples using our SDKs Create use case specific cookbooks and guides that address common customer use cases that use our API About Together AI Together AI is a research-driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to significantly lower the cost of modern AI systems by co-designing software, hardware, algorithms, and models. We have contributed to leading open-source research, models, and datasets to advance the frontier of AI, and our team has been behind technological advancement such as FlashAttention, Hyena, FlexGen, and RedPajama. We invite you to join a passionate group of researchers and engineers in our journey in building the next generation AI infrastructure. Compensation We offer competitive compensation, startup equity, health insurance and other competitive benefits. The US base salary range for this full-time position is: $160,000 - $240,000 + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge. Equal Opportunity Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more. Please see our privacy policy at https://www.together.ai/privacy  

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We're here to help the smartest minds on the planet build Superintelligence. The labs pushing the edge? They run on Lambda. Our gear trains and serves their models, our infrastructure scales with them, and we move fast to keep up. If you want to work on massive, world-changing AI deployments with people who love action and hard problems, we're the place to be. If you'd like to build the world's best deep learning cloud, join us.  *Note: This position can be based in our San Francisco/San Jose Office or Remote East Coast. Our current office policy is 4 days a week in office with a designated work from home day as Tuesday. Lambda is unlike any other AI cloud. Founded by twin brothers who published breakthrough deep learning research before ‘AI’ became a buzzword, we’ve grown from pioneering research to specialized hardware to today’s leading AI cloud—now valued at over $2.5B.We’re seeking a Senior Director of Communications to shape how the world sees Lambda—crafting and amplifying our story, our vision, and our unique AI DNA.As Senior Director of Communications, you will:Define and execute a communications strategy that sets Lambda apart in the AI cloud landscape.Showcase our founders’ vision and technical edge to technical, business, and investor audiences.Build a narrative of Lambda’s evolution—from a $2.5B scale-up to an industry leader ready for the big leagues.This role reports to our VP of Marketing and works closely with the founding team, marketing, finance, design, legal, internal communications, product and engineering organizations. You are passionate about AI, blending creativity with operational agility. You thrive in fast-paced, collaborative environments, balance strategic vision with hands-on execution, and are energized by the challenge of communicating breakthrough technology to the world.What You’ll DoCorporate Narrative & Strategic CommunicationsDrive Lambda’s corporate messaging and position our founders as standout leaders in AI compute—from AI Factories to AI platforms.Develop and align an integrated communications framework that connects corporate and internal messaging.Translate company milestones into compelling stories that resonate with investors, analysts, media, and customers.Build repeatable frameworks for high-impact announcements and ensure alignment across stakeholders.Media, Agency & Visibility LeadershipLead Lambda’s media strategy, cultivating Tier 1 relationships across tech, business, and financial press.Secure top-tier placements, thought leadership content, and executive speaking opportunities.Partner with agencies to amplify reach, providing clear strategic direction and oversight.Act as a trusted media liaison for Lambda executives, ensuring consistent, compelling brand presence.Measure and optimize communications impact against engagement, brand awareness, and business goals.Executive & Corporate CommunicationsElevate executive voices through keynotes, op-eds, media interviews, and digital platforms.Partner with Legal, Finance, and other functions to ensure market-ready messaging and stakeholder alignment.Serve as senior communications counsel in high-stakes moments, protecting Lambda’s reputation and guiding crisis response.Build and maintain robust crisis communications protocols.YouStrategic thinker who balances long-term brand building with hands-on execution, with both in-house and agency experience.12+ years of communications leadership in AI, cloud, or enterprise infrastructure, ideally in high-growth environments.Deep expertise in financial communications, corporate narrative, and executive positioning.Proven success scaling communications functions and managing agency partners while aligning with internal teams.Strong media relationships across Tier 1 tech, business, and financial press.Skilled storyteller, able to make complex technology accessible and compelling.Creative, agile, and energized by navigating ambiguity to deliver results.Nice to HaveExperience working directly with technical foundersProduct Communications experience in AISalary Range InformationThe annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description. About LambdaFounded in 2012, ~400 employees (2025) and growing fastWe offer generous cash & equity compensationOur investors include Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, US Innovative Technology, Gradient Ventures, Mercato Partners, SVB, 1517, Crescent Cove.We are experiencing extremely high demand for our systems, with quarter over quarter, year over year profitabilityOur research papers have been accepted into top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOGHealth, dental, and vision coverage for you and your dependentsWellness and Commuter stipends for select roles401k Plan with 2% company match (USA employees)Flexible Paid Time Off Plan that we all actually useA Final Note:You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.Equal Opportunity EmployerLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

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📐 About this roleAs the Director of WRITER production support, you will lead the function that guarantees the operational success of our customers' mission-critical WRITER Agents. This is a unique leadership role with a dual mandate: first, to build and lead a world-class human support organization, and second, to architect the AI-driven future of that organization by agentifying our own support processes on the WRITER platform.Your first-hand experience building and delivering AI agents makes you uniquely qualified to lead this team. You understand the complexities of production AI from the inside out. You will be responsible for supporting everything from standardized vertical solutions to the highly complex, custom agents that power our customers' core operations, all while turning your own department into a showcase for AI-powered efficiency.This is a rare opportunity to build the support organization of the future, from the ground up. You will not just be managing a team; you will be a player-coach, a strategist, and a builder, creating a function that is both a world-class human support team and a living testament to the transformative power of the WRITER platform itself.🦸🏻‍♀️ Your responsibilities:Build the WRITER support team: Recruit, hire, and mentor a team of platform support engineers, prioritizing candidates who share a builder's mindset and a deep curiosity for how WRITER Agents work. You will define the hiring profile for individuals who can effectively triage and debug issues within the WRITER.AI ecosystem, from platform-level configurations to the behavior of individual WRITER Agents.Agentify our own support: Develop and execute a roadmap to transform our support function using the WRITER.AI platform. You will "eat our own dog food," building a suite of internal agents to automate triage, diagnosis, knowledge retrieval, and resolution, creating a model for AI-driven operational excellence.Design the agent support process: Architect our entire production support workflow, establishing definitive, AI-first escalation paths. This includes creating specialized triage processes for custom complex agents that directly involve the original builders when necessary.Own the agent knowledge base: Champion and build our technical knowledge base, with a focus on making this knowledge accessible to both human engineers and the support agents you build.Be the voice of the customer in crisis: Serve as the incident commander during P0 issues, leveraging your deep technical understanding of WRITER agents to guide your team and communicate with credibility and confidence.Drive platform & agent Insights: Implement and own all support metrics. You will analyze data from both human- and agent-led resolutions to provide the WRITER product organization with unparalleled insights into platform reliability and customer pain points.⭐️ Is this you?An experienced technical support leader: You have 7+ years of experience in technical support, with at least 3 years spent managing a team in an enterprise PaaS or API-first environment.A support transformation leader: You have a proven track record of not just managing a support function, but fundamentally transforming it using automation and AI. You have personally used an AI platform to agentify and improve support workflows.A proven AI builder: You have demonstrable, hands-on experience building and delivering AI agents or similar complex AI solutions. You have likely been an AI Architect, , a Solutions Architect, or held a similar role in the past. You don't just manage the technology—you have built it.Technically credible & hands-on: You are adept at navigating bespoke software and understand that custom agents have unique failure modes. Your past experience as a builder gives you immediate credibility with engineering and delivery teams.A process builder: You love creating order from chaos and have a proven track record of designing scalable support processes, ticketing workflows, and SLAs for a technical product.A cross-functional partner: You are skilled at working with and influencing teams you don't directly manage to ensure the stability of the entire WRITER.AI ecosystem. 🍩 Benefits & perks (US Full-time employees)Generous PTO, plus company holidaysMedical, dental, and vision coverage for you and your familyPaid parental leave for all parents (12 weeks)Fertility and family planning supportEarly-detection cancer testing through GalleriFlexible spending account and dependent FSA optionsHealth savings account for eligible plans with company contributionAnnual work-life stipends for:Home office setup, cell phone, internetWellness stipend for gym, massage/chiropractor, personal training, etc.Learning and development stipendCompany-wide off-sites and team off-sitesCompetitive compensation, company stock options and 401kWRITER is an equal-opportunity employer and is committed to diversity. We don't make hiring or employment decisions based on race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other basis protected by applicable local, state or federal law. Under the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.By submitting your application on the application page, you acknowledge and agree to WRITER's Global Candidate Privacy Notice.

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📐 About this roleAs the Director of WRITER production support, you will lead the function that guarantees the operational success of our customers' mission-critical WRITER Agents. This is a unique leadership role with a dual mandate: first, to build and lead a world-class human support organization, and second, to architect the AI-driven future of that organization by agentifying our own support processes on the WRITER platform.Your first-hand experience building and delivering AI agents makes you uniquely qualified to lead this team. You understand the complexities of production AI from the inside out. You will be responsible for supporting everything from standardized vertical solutions to the highly complex, custom agents that power our customers' core operations, all while turning your own department into a showcase for AI-powered efficiency.This is a rare opportunity to build the support organization of the future, from the ground up. You will not just be managing a team; you will be a player-coach, a strategist, and a builder, creating a function that is both a world-class human support team and a living testament to the transformative power of the WRITER platform itself.🦸🏻‍♀️ Your responsibilities:Build the WRITER support team: Recruit, hire, and mentor a team of platform support engineers, prioritizing candidates who share a builder's mindset and a deep curiosity for how WRITER Agents work. You will define the hiring profile for individuals who can effectively triage and debug issues within the WRITER.AI ecosystem, from platform-level configurations to the behavior of individual WRITER Agents.Agentify our own support: Develop and execute a roadmap to transform our support function using the WRITER.AI platform. You will "eat our own dog food," building a suite of internal agents to automate triage, diagnosis, knowledge retrieval, and resolution, creating a model for AI-driven operational excellence.Design the agent support process: Architect our entire production support workflow, establishing definitive, AI-first escalation paths. This includes creating specialized triage processes for custom complex agents that directly involve the original builders when necessary.Own the agent knowledge base: Champion and build our technical knowledge base, with a focus on making this knowledge accessible to both human engineers and the support agents you build.Be the voice of the customer in crisis: Serve as the incident commander during P0 issues, leveraging your deep technical understanding of WRITER agents to guide your team and communicate with credibility and confidence.Drive platform & agent Insights: Implement and own all support metrics. You will analyze data from both human- and agent-led resolutions to provide the WRITER product organization with unparalleled insights into platform reliability and customer pain points.⭐️ Is this you?An experienced technical support leader: You have 7+ years of experience in technical support, with at least 3 years spent managing a team in an enterprise PaaS or API-first environment.A support transformation leader: You have a proven track record of not just managing a support function, but fundamentally transforming it using automation and AI. You have personally used an AI platform to agentify and improve support workflows.A proven AI builder: You have demonstrable, hands-on experience building and delivering AI agents or similar complex AI solutions. You have likely been an AI Architect, , a Solutions Architect, or held a similar role in the past. You don't just manage the technology—you have built it.Technically credible & hands-on: You are adept at navigating bespoke software and understand that custom agents have unique failure modes. Your past experience as a builder gives you immediate credibility with engineering and delivery teams.A process builder: You love creating order from chaos and have a proven track record of designing scalable support processes, ticketing workflows, and SLAs for a technical product.A cross-functional partner: You are skilled at working with and influencing teams you don't directly manage to ensure the stability of the entire WRITER.AI ecosystem. 🍩 Benefits & perks (US Full-time employees)Generous PTO, plus company holidaysMedical, dental, and vision coverage for you and your familyPaid parental leave for all parents (12 weeks)Fertility and family planning supportEarly-detection cancer testing through GalleriFlexible spending account and dependent FSA optionsHealth savings account for eligible plans with company contributionAnnual work-life stipends for:Home office setup, cell phone, internetWellness stipend for gym, massage/chiropractor, personal training, etc.Learning and development stipendCompany-wide off-sites and team off-sitesCompetitive compensation, company stock options and 401kWRITER is an equal-opportunity employer and is committed to diversity. We don't make hiring or employment decisions based on race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other basis protected by applicable local, state or federal law. Under the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.By submitting your application on the application page, you acknowledge and agree to WRITER's Global Candidate Privacy Notice.

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Who are we?Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI.We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what’s best for our customers.Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products.Join us on our mission and shape the future!Why this role?Reporting to the Vice President APAC, the Country Manager will drive year-over-year revenue growth, developing & executing on customer and partner acquisition strategies. You will drive long term success with a focus on strategic development, coaching and building on Cohere’s presence in the region. In this leadership role, you will be pivotal in cultivating and guiding our Sales team to surpass revenue targets & organizational goals.As our Country Manager, you will:Develop, execute and lead a go-to-market growth strategy & strategic sales plan for the country, driving revenue growth and market expansion.Assume coordination of our anchor partnership in the country, working alongside our global account team.Provide sales and operational leadership to Cohere’s cross functional teams.Collaborate with Marketing, Product, and Engineering teams to align sales efforts with company objectives.Act as the primary representative of Cohere in the local market, promoting the company’s vision, products and services.Represent at industry events, conferences & networking opportunities, and with regulators & government agencies in partnership with our Head of Global Public Sector and Head of Government Affairs & Public PolicyManage and nurture relationships with enterprise level clients and partners to ensure Cohere’s success in the region. Identify and pursue new business opportunities, negotiating and closing high-value deals.Collaborate with global teams to establish best practices for enterprise level project implementations. Maintain strong client engagement throughout project lifecycles.Analyze and report on local market trends, opportunities, client needs and competitor activities to inform strategic decisions.This career opportunity may be a good match for you if you have:​​15+ years of experience driving revenue growth and leading go-to-market efforts for a technology-focused organization/vendor/consultancy in the region.Proven track record leading enterprise-level consultative solution sales and business development efforts in the region coupled with a strong understanding of regional GTM strategy, customer success and resource allocation.Track record of successfully partnering with consulting firms, systems integrators and enterprise level clients, including pitching, negotiation, and closing deals.Well-established network of senior-level contacts across sectors.Excellent communication and leadership skills with the ability to build cross-functional relationships and influence at all levels.Comfort working in a matrixed environment pulling together flying formations from cross functional teams & regions without the need for large direct organization.Self-starter with an entrepreneurial mindset and the ability to work independently, roll-up sleeves and drive impact as a ‘builder’.Experience in AI or a related industry is highly desirable.If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! If you want to work really hard on a glorious mission with teammates that want the same thing, Cohere is the place for you.We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs.Full-Time Employees at Cohere enjoy these Perks:🤝 An open and inclusive culture and work environment 🧑‍💻 Work closely with a team on the cutting edge of AI research 🍽 Weekly lunch stipend, in-office lunches & snacks🦷 Full health and dental benefits, including a separate budget to take care of your mental health 🐣 100% Parental Leave top-up for 6 months for employees based in Canada, the US, and the UK🎨 Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement🏙 Remote-flexible, offices in Toronto, New York, San Francisco, London and Paris, as well as a co-working stipend✈️ 6 weeks of vacationNote: This post is co-authored by both Cohere humans and Cohere technology.

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Crusoe's mission is to accelerate the abundance of energy and intelligence. We’re crafting the engine that powers a world where people can create ambitiously with AI — without sacrificing scale, speed, or sustainability.Be a part of the AI revolution with sustainable technology at Crusoe. Here, you'll drive meaningful innovation, make a tangible impact, and join a team that’s setting the pace for responsible, transformative cloud infrastructure.Crusoe is building the World’s Favorite AI-first Cloud infrastructure company. We’re pioneering vertically integrated, purpose-built AI infrastructure solutions trusted by Fortune 500 companies to power their most advanced AI applications. Crusoe is redefining AI cloud infrastructure, with a mission to align the future of computing with the future of the climate. Our AI platform is recognized as the "gold standard" for reliability and performance. Our data centers are optimized for AI workloads and are powered by clean, renewable energy.Be part of the AI revolution with sustainable technology at Crusoe. Here, you'll drive meaningful innovation, make a tangible impact, and join a team that’s setting the pace for responsible, transformative cloud infrastructure.About the Role:We are seeking talented Software Engineers to design, build, and scale Crusoe Cloud’s customer-facing platforms and services. The Cloud Customer Experience (CCX) team is at the forefront of delivering a best-in-class user experience for our AI-focused cloud platform. Our mission is to provide an intuitive, seamless user flow while ensuring backend reliability and scalability that set us apart from the competition. Your work will focus on delivering highly scalable and reliable services for authentication, user management, billing, usage and much more.What are we working on?Design, develop, and maintain scalable and reliable services that power our cloud platform’s user-facing experiences.Collaborate with cross-functional teams, like product and design, to evaluate tools, frameworks, and customer needs, creating innovative solutions that differentiate Crusoe Cloud.Design and build backend systems that underpin our cloud platform, covering everything from authentication flows to scalable, reliable access to infrastructure resources.Contribute to architectural decisions that support reliability and maintainability across the companyMentor engineers, enhance hiring practices, and contribute to building a strong, inclusive engineering culture.At Crusoe, we are redefining cloud infrastructure by integrating data center operations with seamless user experiences. From developing turn-key AI cloud infrastructure to managing advanced data center operations, Crusoe is at the forefront of innovation in AI-first cloud computing. Join us to help shape a platform that reduces carbon emissions while delivering best-in-class cloud services.A day in the life:Design and Deliver Customer Solutions: Build scalable, reliable cloud services, such as user access management, Gateways, user features, and notification systems, tailored to customer needs.Focus on Customer Empowerment: Partner with customer success and operations teams to create intuitive tools that enhance the end-user experience.Automate and Optimize: Develop automation software that simplifies infrastructure deployment and management for seamless customer operations.Innovate: Implement features that differentiate Crusoe Cloud, focusing on operational efficiency, low-touch adoption, turn-key AI services and scalability.Collaborate Across Teams: Work closely with cloud support, engineering, and site reliability teams to align technical solutions with customer feedback and operational goals.Mentor and Lead: Guide engineers through design discussions, code reviews, and best practices, fostering a culture of technical excellence and customer-centricity.You Will Thrive In This Role If You Have:Customer-Centric Mindset: A passion for creating intuitive, high-quality solutions that directly impact customer success and satisfaction. Any experience building out infrastructure tooling is a plusProfessional Experience: 3+ years of software development experience, including programming with modern compiled languages such as Go, Rust, Java, or C++.Cloud Expertise: Proven ability to design and scale fault-tolerant distributed systems and develop managed cloud services.Technical Proficiency: Strong fundamentas in data structures, algorithms, microservices, and infrastructure tools like Docker, Kubernetes, Terraform, and CI/CD systems.Collaboration Skills: Ability to work with cross-functional teams to align priorities and deliver customer-first solutions.Mentorship Abilities: Experience guiding engineers, improving hiring and onboarding processes, and driving team growth.Communication Skills: Exceptional ability to articulate complex ideas and align technical solutions with customer needs.Benefits:Hybrid work scheduleIndustry competitive payRestricted Stock Units in a fast-growing, well-funded technology companyHealth insurance package options that include HDHP and PPO, vision, and dental for you and your dependentsEmployer contributions to HSA accountsPaid Parental LeavePaid life insurance, short-term and long-term disabilityTeladoc401(k) with a 100% match up to 4% of salaryGenerous paid time off and holiday scheduleCell phone reimbursementTuition reimbursementSubscription to the Calm appMetLife LegalCompany paid commuter benefit; $300 per pay periodCompensation RangeCompensation will be paid in the range of $166,000 - $201,000. Restricted Stock Units are included in all offers. Compensation to be determined by the applicants knowledge, education, and abilities, as well as internal equity and alignment with market data.Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.

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About UsAt Hayden AI, we are on a mission to harness the power of computer vision to transform the way transit systems and other government agencies address real-world challenges.From bus lane and bus stop enforcement to transportation optimization technologies and beyond, our innovative mobile perception system empowers our clients to accelerate transit, enhance street safety, and drive toward a sustainable future.Job Summary:The Engineering Manager, State Estimation will lead a high-performing team focused on developing advanced mapping, localization, and SLAM (Simultaneous Localization and Mapping) solutions for embedded camera systems. You will oversee the research, development, and deployment of large-scale mapping and localization solutions, while shaping the technical roadmap and ensuring successful collaboration across device, cloud, and applied AI teams.Responsibilities: Build, mentor, and manage a team of engineers developing state-of-the-art mapping, localization, and SLAM algorithms.Set technical direction and project priorities, aligning them with broader organizational goals.Drive high-impact, cross-functional projects from conception through deployment, coordinating with research, hardware, and product teams.Provide technical guidance on algorithm design, system architecture, and implementation, while ensuring best practices in software development and performance optimization.Foster a culture of innovation, technical rigor, and collaboration across the team.Develop and maintain project roadmaps, milestones, and technical documentation.Partner with senior leadership to define long-term strategies for localization, state estimation, and multi-sensor calibration.Review and approve designs, architectures, and implementations, ensuring technical excellence and scalability.Lead recruitment, hiring, and performance management to grow a world-class engineering team.Required Qualifications:Bachelor of Science degree (M.S. or Ph.D. preferred) in Electrical and Computer Engineering, Robotics, Machine Learning, Computer Science, or a related field.10+ years of industry experience (8+ years with an M.S., 6+ years with a Ph.D.), including significant leadership or management responsibilities.Proven experience leading engineering teams working on state estimation, localization, or SLAM technologies.Strong foundation in C++ development, geometric computer vision, stochastic processes, and nonlinear/convex optimization.Deep understanding of filtering algorithms (e.g., Kalman, particle filters) and optimization-based methods (e.g., nonlinear least squares).Familiarity with camera geometry, structure from motion, multi-sensor fusion, factor graphs, and related state estimation concepts.Strong track record of technical execution combined with leadership and team-building skills.Exceptional communication skills, with the ability to collaborate effectively across engineering, research, and product functions.Experience in technology transfer and delivering research innovations into production systems.Preferred Qualifications:Demonstrated success deploying SLAM/VIO estimators in real-world applications.Experience with multi-sensor systems, including GPS, IMU, camera, and wheel odometry.Exposure to integrating deep learning with classical state estimation approaches.Strong record of published research or contributions to the robotics and computer vision community.Experience scaling and leading multi-disciplinary engineering teams

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About AdaptiveAdaptive is a cybersecurity startup on a mission to stop AI-powered cyberattacks, founded by Brian Long and Andrew Jones—proven entrepreneurs behind Attentive (Forbes Cloud 100, $10B+ valuation) and TapCommerce (acquired by Twitter). In April 2025, Adaptive raised $55M, led by a16z and the OpenAI Fund, marking OpenAI's first-ever cybersecurity investment.As generative AI drives new cyber threats, Adaptive is building the defense layer every organization needs. Our platform combines personalized security training, AI-driven attack simulations, and automated threat triage, all powered by the Adaptive Risk Intelligence Engine to quantify human risk at the individual level. Trusted by top banks, tech companies, and healthcare organizations, we protect teams from emerging threats like deepfakes, smishing, and voice scams. With a solid product foundation and a $200B+ market to transform, we're just getting started.About the RoleAdaptive Security is rethinking how employees learn to stay secure against modern, AI-powered cyber threats. We believe security training doesn’t have to be boring — it can be engaging, creative, and effective.As an AI Product Operations Associate, you’ll help design and deliver the training content at the heart of our platform. You’ll combine structured problem-solving with creative storytelling to turn complex topics into clear, memorable learning experiences.Success in this role comes from experimenting with cutting-edge AI tools to reimagine how content is created and delivered — finding faster, smarter, and more engaging ways to teach.You’ll report to our Director of AI Product Ops and collaborate daily with product managers, engineers, designers, and our go-to-market teams. This is an in-office, high-output team that moves quickly and cares deeply about quality.If you want to break into tech, master AI tools, and see your work directly shape how people learn, this role is for you. This is a contract-to-hire role: you’ll start as a contractor and, based on performance and fit, have the opportunity to convert to full-time.What You’ll DoBuild training content: Create engaging, concise, and creative modules that make complex ideas simple and memorable.Use AI to move faster: Leverage generative AI for drafting, editing, image/video creation, translations, and idea exploration.Operate with precision: Follow and improve our production process to ensure content is accurate, high-quality, and delivered on time.Experiment with formats: Test new ways of learning — from bite-sized learning to narrative case studies that bring concepts to life.Partner across teams: Work with Product, Engineering, Sales, and CS to ensure content aligns with customer needs.Continuously improve: Spot inefficiencies, propose better workflows, and help scale production as our library grows.What You BringStrong analytical skills and attention to detail; you’re highly organized and can juggle multiple projects at once.Clear communication and writing ability; you make complex topics simple and engaging.Curiosity and creativity; you’re eager to test new ideas and formats.Comfort using AI tools daily; you see them as a creative partner, not just an efficiency hack.Hunger to learn, move fast, and contribute at a growing startup.Why Join UsBuild at the intersection of AI, product, and education.Gain hands-on exposure to every function in a fast-growing startup.Develop both sides of your brain: structured problem-solving and creative storytelling.Shape how millions of employees worldwide learn to stay secure in the face of evolving cyber threats.

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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.This will be a fixed-term contract that should run until March 29th, 2026. We operate a hybrid way of working, meaning that you'll split your time between Faculty's Old Street office and working from home depending on the needs of the project.Why now?We're in a period of significant growth, expanding our capacity to serve a diverse range of customers and apply AI to real-world problems with tangible impact. To meet this demand and maintain our high standards of delivery, we need skilled Machine Learning Engineers to join us for a temporary period and own end-to-end project delivery, build strong customer relationships, and help us scale our business. About the RoleAs a Machine Learning Engineer , you will work on project teams delivering bespoke machine learning solutions to our clients. You will be responsible for implementing data-driven approaches, contributing to the design of scalable software architectures, and ensuring best practices are followed throughout development.You will collaborate closely with our commercial team to help shape and deliver high-quality projects. In the early stages of client engagements, you will contribute to defining the technical scope, ensuring that proposed solutions are both feasible and aligned with business objectives. Your work will play a critical role in ensuring we deliver impactful software within agreed timeframes.This role offers the opportunity to apply cutting-edge machine learning techniques to complex challenges in professional and financial services, while working alongside colleagues from diverse technical and commercial backgrounds. What You'll Be DoingYou are engineering-focused, with a keen interest and working knowledge of operationalised machine learning. You have a desire to take cutting-edge ML applications into the real world. You will develop new methodologies and champion best practices for managing AI systems deployed at scale, with regard to technical, ethical and practical requirements. You will support both technical, and non-technical stakeholders, to deploy ML to solve real-world problems. Our Machine Learning Engineers are responsible for the engineering aspects of our customer delivery projects. As a Machine Learning Engineer, you’ll be essential to helping us achieve that goal by:Building software and infrastructure that leverages Machine Learning;Creating reusable, scalable tools to enable better delivery of ML systemsWorking with our customers to help understand their needsWorking with data scientists and engineers to develop best practices and new technologies; andImplementing and developing Faculty’s view on what it means to operationalise ML software.As a rapidly growing organisation, roles are dynamic and subject to change. Your role will evolve alongside business needs, but you can expect your key responsibilities to include:Working in cross-functional teams of engineers, data scientists, designers and managers to deliver technically sophisticated, high-impact systems.Working with senior engineers to scope projects and design systemsProviding technical expertise to our customersTechnical DeliveryWho We're Looking ForYou can view our company principles here. We look for individuals who share these principles and our excitement to help our customers reap the rewards of AI responsibly.To succeed in this role, you’ll need the following - these are illustrative requirements and we don’t expect all applicants to have experience in everything (70% is a rough guide):Understanding of, and experience with the full machine learning lifecycleWorking with Data Scientists to deploy trained machine learning models into production environments Working with a range of models developed using common frameworks such as Scikit-learn, TensorFlow, or PyTorchExperience with software engineering best practices and developing applications in Python.Technical experience of cloud architecture, security, deployment, and open-source tools ideally with one of the 3 major cloud providers (AWS, GCP or Azure)Demonstrable experience with containers and specifically Docker and KubernetesAn understanding of the core concepts of probability and statistics and familiarity with common supervised and unsupervised learning techniquesDemonstrable experience of managing/mentoring more junior members of the team Outstanding verbal and written communication.Excitement about working in a dynamic role with the autonomy and freedom you need to take ownership of problems and see them through to execution We like people who combine expertise and ambition with optimism -- who are interested in changing the world for the better -- and have the drive and intelligence to make it happen. If you’re the right candidate for us, you probably:Think scientifically, even if you’re not a scientist - you test assumptions, seek evidence and are always looking for opportunities to improve the way we do things.Love finding new ways to solve old problems - when it comes to your work and professional development, you don’t believe in ‘good enough’. You always seek new ways to solve old challenges.Are pragmatic and outcome-focused - you know how to balance the big picture with the little details and know a great idea is useless if it can’t be executed in the real world.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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WHO WE ARE: MagicSchool is the premier generative AI platform for teachers. We're just over 2 years old, and more than 6 million teachers from all over the world have joined our platform. Join a top team at a fast growing company that is working towards real social impact. Make an account and try us out at our website and connect with our passionate community on our Wall of Love.The RoleAs a Staff Software Engineer for Agents Infrastructure, you'll architect and build the core systems that power MagicSchool's autonomous AI capabilities. You'll design the runtime, orchestration, and evaluation infrastructure that enables AI agents to plan, execute complex educational workflows, integrate with teaching tools, and operate safely in classroom environments.This is a high-impact IC role where you'll influence the technical foundation of how AI agents operate across MagicSchool's platform, mentor engineers on agent systems, and ensure our agentic capabilities scale reliably for millions of educators.What You'll DoAgent Runtime Architecture – Design and implement highly reliable agent orchestration systems, shared state management, memory systems, and multi-step workflow execution optimized for educational use cases.Tool Integration & Safety – Build secure, sandboxed execution environments for agent actions with robust isolation, monitoring, and safety controls appropriate for educational contexts.Evaluation & Reliability – Develop comprehensive evaluation frameworks for agent performance, safety assessments, A/B testing, and regression detection to ensure consistent quality in educational workflows.Platform Integration – Create unified interfaces for multiple LLM providers, integrate with educational tool ecosystems, and build connector frameworks for curriculum data and learning management systems.Cross-Functional Leadership – Partner with Product, Research, and Education teams to translate complex educational workflows into reliable agent capabilities from prototype to production.Technical Mentorship – Guide engineers on agent architecture patterns, evaluation methodologies, and best practices for building reliable autonomous systems.Performance Optimization – Optimize agent execution for cost, latency, and quality while maintaining the reliability standards required for educational environments.What We're Looking ForDeep Systems Experience – 7+ years building large-scale distributed systems with at least 2+ years in staff/senior roles. Experience with agent orchestration, workflow engines, or autonomous system infrastructure.Agent & AI Systems – Hands-on experience building agent applications with tool calling, context engineering, multi-step reasoning, or autonomous workflow orchestration. Familiarity with LLM integration patterns.Technical Stack – Strong coding skills in Python, TypeScript/Node.js, or Go. Experience with our stack (TypeScript, Node.js, PostgreSQL, NextJS, Supabase) or similar technologies.Infrastructure & Security – Working knowledge of containers, virtualization, sandboxing, and security patterns for multi-tenant systems. Experience with metrics, observability, and incident response.Educational Context Awareness – Understanding of or interest in educational workflows, privacy requirements (FERPA/COPPA), and safety considerations for AI in classroom environments.Leadership & Impact – Track record of architecting complex systems, mentoring engineers, and driving technical decisions that balance innovation with reliability.Nice to HaveExperience with agent evaluation frameworks, preference optimization, or reinforcement learning for improving agent reliabilityFamiliarity with educational technology integrations, LMS systems, or EdTech compliance requirementsBackground in ML/AI infrastructure, model serving, or AI safety systemsExperience with open protocols for tool connectivity (MCP-style connectors) or browser automationSecurity hardening experience for untrusted code execution or multi-tenant educational environmentsExpectationsTechnical Leadership – Lead the architecture and implementation of MagicSchool's core agent infrastructure, making high-leverage decisions that enable reliable autonomous AI in education.End-to-End Ownership – Own agent systems from research prototype to production deployment, ensuring they meet the reliability and safety standards required for educational use.Cross-Functional Partnership – Collaborate closely with Product, Research, and Education teams to understand complex educational workflows and translate them into scalable technical solutions.Mentorship & Knowledge Sharing – Coach engineers on agent architecture patterns, evaluation methodologies, and best practices for building reliable autonomous systems.Innovation & Reliability – Balance cutting-edge AI capabilities with the rock-solid reliability and safety requirements of educational technology.Why Join Us?Work on cutting-edge AI technology that directly impacts educators and students.Join a mission-driven team passionate about making education more efficient and equitable.Flexibility of working from home, while fostering a unique culture built on relationships, trust, communication, and collaboration with our team - no matter where they live.Unlimited time off to empower our employees to manage their work-life balance. We work hard for our teachers and users, and encourage our employees to rest and take the time they need.Choice of employer-paid health insurance plans so that you can take care of yourself and your family. Dental and vision are also offered at very low premiums.Every employee is offered generous stock options, vested over 4 years.Plus a 401k match & monthly wellness stipendOur Values:Educators are Magic:  Educators are the most important ingredient in the educational process - they are the magic, not the AI. Trust them, empower them, and put them at the center of leading change in service of students and families.Joy and Magic: Bring joy and magic into every learning experience - push the boundaries of what’s possible with AI.Community:  Foster community that supports one another during a time of rapid technological change. Listen to them and serve their needs.Innovation:  The education system is outdated and in need of innovation and change - AI is an opportunity to bring equity, access, and serve the individual needs of students better than we ever have before.Responsibility: Put responsibility and safety at the forefront of the technological change that AI is bringing to education.Diversity: Diversity of thought, perspectives, and backgrounds helps us serve the wide audience of educators and students around the world.Excellence:  Educators and students deserve the best - and we strive for the highest quality in everything we do.

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Replit is the fastest way to turn ideas into software. With our powerful AI-powered Agent and Assistant, anyone can create and launch apps from natural language in just one click. Build and deploy full-stack applications directly from your browser—no setup required. Never written a line of code in your life? No problem. Replit makes software creation accessible, collaborative, and lightning-fast. Join us in our mission to empower the next generation of builders.About the role:Help power the development of Replit Agent by leading the Platform Infrastructure team. This team builds Agent tools, communication protocols, and developer infrastructure that make our AI Agent the most powerful for zero to one software creation. This team also ships user facing features that require heavy interaction with these infra primitives, such as time travel databases and security scanning.You will:Hire, mentor, and retain a high performance team of technically talented, creative, and driven builders.Be decisive on team strategy and direction, helping Replit achieve company goals and its long term mission of bringing a billion software creators online.Set the pace and drive urgency in delivery, to help us win in a hyper competitive market.Roll up your sleeves and pitch in on projects, on-call duties, and other team activities.Examples of what you could do:Leverage our unique compute and storage infrastructure to build differentiated history, security, and AI features.Hide complexity in our infrastructure and AI systems to enable product teams to ship fast with confidence.Be part of engineering leadership, steering teams towards the highest impact work and supporting initiatives across the company.Required skills and experience:Bachelor’s degree in Computer Science or related field, OR equivalent real-world experience in security engineering roles7+ years of experience in software with at least 2 years in a management role.Deep experience with JavaScript and TypeScript ecosystems.Preferred QualificationsExperience with distributed systems and infrastructure.Experience building tools and frameworks for other engineers.Previous experience at a high-growth startup. Bonus Points:Experience with AI/agentic systems.Experience with versioning systems such as OT or CRDT; or deep Git experience.Open source project contributions.What we value:Problem-solving mindset: Ability to approach complex operational challenges systematically and devise effective solutionsSelf-directed and autonomous: Capable of working independently while collaborating effectively with cross-functional teamsStrong communication skills: Ability to explain complex technical concepts to both technical and non-technical audiencesContinuous learning: Passion for staying current with industry best practices and new technologiesFocus on automation: Strong belief in automating repetitive tasks and building self-healing systemsFull-Time Employee Benefits Include:💰 Competitive Salary & Equity💹 401(k) Program⚕️ Health, Dental, Vision and Life Insurance🩼 Short Term and Long Term Disability🚼 Paid Parental, Medical, Caregiver Leave🚗 Commuter Benefits📱 Monthly Wellness Stipend🧑‍💻 Autonoumous Work Environement🖥 In Office Set-Up Reimbursement🏝 Flexible Time Off (FTO) + Holidays🚀 Quarterly Team Gatherings☕ In Office Amenities Want to learn more about what we are up to?Meet the Replit AgentReplit: Make an app for thatReplit BlogAmjad TED Talk Interviewing + Culture at ReplitOperating PrinciplesReasons not to work at Replit To achieve our mission of making programming more accessible around the world, we need our team to be representative of the world. We welcome your unique perspective and experiences in shaping this product. We encourage people from all kinds of backgrounds to apply, including and especially candidates from underrepresented and non-traditional backgrounds.This is a full-time role that can be held from our Foster City, CA office. The hybrid role has an in-office requirement of Monday, Wednesday, and Friday.

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About UsAt Hayden AI, we are on a mission to harness the power of computer vision to transform the way transit systems and other government agencies address real-world challenges.From bus lane and bus stop enforcement to transportation optimization technologies and beyond, our innovative mobile perception system empowers our clients to accelerate transit, enhance street safety, and drive toward a sustainable future. What the job involvesAs an Engineering Manager, you will lead the development and refinement of a cutting-edge perception system, leveraging deep learning for real-world applications. Your expertise in computer vision, deep learning, and team leadership will drive performance improvements and seamless integration across the company. ResponsibilitiesOversee the entire perception system development life cycle, from problem definition to deployment and ongoing improvement. Lead a team of computer vision and perception engineers to develop and refine the system in a hands-on manner. Spearhead the development of robust computer vision algorithms for object detection, tracking, semantic segmentation, and classification. Champion the development and training of deep learning models for complex urban scene perception and real-time analysis. Collaborate with cross-functional teams (cloud/device) for seamless integration and monitoring of perception models.Analyze data to identify performance bottlenecks and opportunities for enhancing the perception system. Foster automation in the improvement cycles of deep learning models used within the perception system.Communicate technical findings and insights effectively to stakeholders across the company to drive performance improvements. Utilize data visualization tools to present complex information clearly for informed decision-making.  QualificationsPh.D. or Master's in Robotics, Machine Learning, Computer Science, Electrical Engineering, or a related field.2+ years leading and managing teams focused on developing real-world computer vision and perception systems using deep learning on edge devices. Proven ability to deploy these systems with:Deep Learning Frameworks: Expertise in PyTorch or TensorFlow (one mandatory, familiarity with both a plus).Computer Vision Libraries: OpenCV.Deployment Optimization Tools: TensorRT.Strong Python programming and software design with experience in Pandas.Experience deploying DL models to run on real-world, resource-constrained, systems with a pragmatic approach towards problem-solving.Demonstrated proficiency in data science and traditional machine learning (SVMs, Random Forests). Prior experience with automated machine learning pipelines is desirable.Proven industry track record with experience in:Automated data annotation for computer vision.Training multi-task and semi-supervised deep learning models for video data.Familiarity with designing multi-modal deep learning models incorporating temporal context and geometrical constraints is a plus.

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About Resolve AIAt Resolve, we’re building Agentic AI that empowers software engineers by automating production engineering and SRE workflows. Our models deeply understand production systems — from code to databases — taking on repetitive, high-pressure tasks and handling critical incidents autonomously, so engineers can focus on building.Our founders (Spiros Xanthos and Mayank Agarwal) are the core creators of OpenTelemetry and led Splunk Observability. They have had 2 successful exits to Splunk and VMware.We raised a $35M Seed round from top-tier investors like Greylock, Unusual Ventures, Jeff Dean (Chief Scientist, Google DeepMind), Thomas Dohmke (CEO, GitHub), Matt Garman (CEO, AWS), Reid Hoffman (Founder, LinkedIn) and Fei Fei Li (Professor, Stanford).Joining Resolve AI at this stage of our journey is a once-in-a-lifetime opportunity. You’ve already decided that you want to work at an AI-native company that’s pushing the limits of how engineers work, and now you’re looking for the right one. At Resolve, we’ve brought together experienced (and successful) entrepreneurs, experts in understanding our customers, and leading innovators in AI and distributed systems. Now we need the right people to help us tell that story—one prospect at a time. Join Resolve as a founding go-to-market team member, helping us build and execute the playbook to drive repeatable revenue while also building a respected brand within the engineering community.What You’ll DoAs a Forward Deployed Engineer, you’ll be on the frontlines with our largest prospects and customers deploying Resolve in complex environments and ensuring our technology delivers real-world impact. You’ll partner closely with our Go-To-Market team during high-stakes POCs, bridging deep technical execution with customer-facing collaboration.In this role, you will:Lead end-to-end technical deployments of Resolve within customer environments, from scoping through production readiness.Work directly with GTM and customer engineering teams during large-scale POCs to ensure adoption and success.Troubleshoot, configure, and optimize deployments across cloud, observability, and infrastructure stacks.Serve as a trusted technical advisor to customers, understanding their observability and reliability challenges and guiding best practices.Collaborate with product and engineering to translate field learnings into roadmap priorities and reusable patterns.Build automation, scripts, and integrations that accelerate deployment and improve repeatability.What We’re Looking ForWe’re seeking a rare blend of engineer, customer partner, and problem solver. The ideal candidate has lived the pain of running production systems and thrives at the intersection of observability, software engineering, and customer delivery.4+ years of professional software engineering or site reliability engineering experience.Hands-on experience with observability tools (e.g., OpenTelemetry, Datadog, Splunk, Prometheus, Grafana, etc.).Strong system-level understanding of cloud infrastructure (AWS, GCP, Kubernetes).Track record of success in customer-facing or solutions engineering roles (Forward Deployed Engineer, Sales Engineer, or similar).Ability to simplify complex technical problems and communicate them clearly to both engineers and business stakeholders.Comfort operating in high-stakes, ambiguous environments where speed and quality both matter.Bonus: prior experience as an observability practitioner or Sales Engineer.Why Join Resolve AI?Make a Real Impact: Join a mission-driven team tackling complex challenges that deliver meaningful outcomes for customers and revolutionize engineering operations.Shape Agentic AI’s Future: Help build the next frontier in enterprise software and define its transformative impact.Own Your Work: Take end-to-end responsibility in your role in a collaborative, high-trust environment.Accelerate Your Career: Grow alongside industry leaders in a fast-paced environment, gaining invaluable experience and opportunities to propel your career to new heights.Competitive Benefits: Competitive Pay Packages with full benefits including:Equity with Early Exercise & QSBS EligibilityComprehensive Medical, Dental, and Vision InsuranceMonthly Housing StipendFlexible (Unlimited) Paid Time OffVisa Sponsorship & Immigration Support401(k) PlanParental LeaveDiscretionary Tech Benefit StipendDaily in-office Lunches and DinnersWe are an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender, gender identity, sexual orientation, protected veteran status, disability, age, and other characteristics protected by law. 

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YOUR MISSION: Join Parloa as a Lead Product Trainer and lead the charge in building and delivering impactful training programs for our cutting-edge SaaS platform. Based in our NYC office, you’ll work closely with our DACH product enablement team to ensure users and teams maximize the platform’s potential. This role is perfect for an experienced professional who thrives in a startup environment, excels at creating training from the ground up, and is adept at bridging global teams with local execution. IN THIS ROLE YOU WILL: Design and deliver engaging training programs for internal teams, customers, and partners, both in-person and virtually. Tailor content to suit diverse skill levels and user needs. Partner with the DACH team to align global training initiatives with local execution. Stay on top of product updates and trends, ensuring up-to-date training content. Serve as a product expert for internal and external stakeholders. Test new features and gather user insights to enhance training and inform product improvements. Implement knowledge checks to measure program effectiveness. WHAT YOU BRING TO THE TABLE: 8+ years of experience in SaaS training, with a proven ability to build programs from scratch. Strong presentation skills, with experience training diverse audiences, including senior stakeholders. Familiarity with instructional design principles and adult learning theories. Comfort working independently in a satellite role while collaborating with global teams. Enthusiasm for technology and web-based platforms. WHAT'S IN IT FOR YOU? Join a diverse team of 40+ nationalities with flat hierarchies and a collaborative company culture, and enjoy an immersive onboarding experience in Berlin to dive into our product and culture. Opportunity to build and scale your career at the intersection of customer-facing roles and engineering in a dynamic startup on its journey to become an international leader in SaaS platforms for Conversational AI. A beautiful office with flair in the heart of NYC with all the conveniences, such as social area, snacks, and drinks. Competitive compensation and equity package. Flexible working hours, unlimited PTO, and travel opportunities. Access to a training and development budget for continuous professional growth. ClassPass membership, Nilo Health, Health insurance, weekly sponsored office lunches. Regular team events, game nights, and other social activities. Hybrid work environment - we believe in hiring the best talent, no matter where they are based. However, we love to build real connections and want to welcome everyone in the office on certain days   Your recruiting process at Parloa: Recruiter video call → Meet your manager → Challenge Task  → Bar Raiser  Salary Range$150,000—$179,000 USD  Why Parloa?  Parloa is one of the fastest growing startups in the world of Generative AI and customer service. Parloa’s voice-first GenAI platform for contact centers is built on the best AI technology to automate customer service with natural-sounding conversations for outstanding experiences on all communication channels. Leveraging natural language processing (NLP) and machine learning, Parloa creates intelligent phone and chat solutions for businesses that turn contact centers into value centers by boosting customer service efficiency. The Parloa platform resolves the majority of customer queries quickly and automatically, allowing human agents to focus on complex issues and relationships. Parloa was founded in 2018 by Malte Kosub and Stefan Ostwald and today employs over 400+ people in Berlin, Munich, and New York. When you join Parloa, you become part of a dynamic and innovative team made up of over 34 nationalities that’s revolutionizing an entire industry. We’re passionate about growing together and creating opportunities for personal and professional development. With our recent $120 million Series C investment, we’re expanding globally and looking for talented individuals to join us on this exciting journey. Do you have questions about Parloa, the role, or our team before you apply? Please feel free to get in touch with our Hiring Team. Parloa is committed to upholding the highest data protection standards for our clients' and employees' data. All our employees are instrumental in ensuring the utmost care, GDPR, and ISO compliance, including ISO 27001, in handling sensitive information. * We provide equal opportunities to all qualified applicants regardless race, gender, sexual orientation, age, religion, national origin, disability status, socioeconomic background and other characteristics.

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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 RoleWe’re looking for a gritty, detail-oriented operator who can lead a team of Strategic Project Leads (SPLs) and deliver on complex, high-velocity data projects. You’ll be responsible for ensuring operational excellence, aligning with researchers and procurement teams, and driving systems-level improvements to scale quality and throughput. This is a high-impact leadership role at the heart of our AI operations.This position is located in either our San Francisco or New York locations. Lead and manage a team of SPLs across multiple high-stakes AI data projectsDrive delivery across custom data pipelines and expert labeling workflowsCollaborate with researchers and procurement partners to define and execute on their data strategiesEnsure a top-tier experience for Handshake Fellows and enable them to generate high-quality, scalable dataPartner with Product and Engineering to evolve our internal tooling and operational systemsOwn performance metrics and delivery outcomes across a dynamic set of project scopes and timelinesDesired Capabilities5+ years of professional experience in operationally intensive settings, ideally within marketplace or data operations1+ year of experience in AI data operations is a strong plusDemonstrated success leading high-performing teams in fast-paced, execution-focused environmentsMetrics-driven leader with a strong ability to raise performance through data and accountabilitySystems thinker who excels in ambiguity and brings structure and clarity to complex problemsHands-on operator who’s willing to dive deep and do what it takes to deliver outcomesSTEM background or technical fluency is a strong plusBenefits & 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 Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.About Anthropic Anthropic is an AI safety and research company working to build reliable, interpretable, and steerable AI systems. Our mission is to ensure that artificial intelligence benefits all of humanity. We have a staggering amount of work ahead, which means you have an unprecedented opportunity to shape the future of AI while doing the most important work of your career. About the Role We are seeking a Security Engineering Manager to lead our Secure Frameworks team, which builds high-leverage security frameworks and libraries that make secure development easy and prevent entire classes of vulnerabilities through careful design. You'll collaborate closely with teams and leaders across Anthropic to own critical security foundations, including cryptographic frameworks and secure serialization and authorization systems that empower teams to work securely without becoming security experts themselves. Responsibilities: Design frameworks and libraries that enable secure handling of sensitive data including model weights, customer data, and training datasets Own what you build completely; ensuring outstanding user experience, proactive monitoring, and responsive support Enable other teams to build their own security solutions by providing design pattern guidance and expanding security ownership beyond your team Partner with product, research, and infrastructure teams, as well as other Security teams to ensure frameworks integrate smoothly with lower-layer security controls  Make strategic decisions about which frameworks to build based on security risk and translate into prioritized roadmaps Scale the team's impact from primarily supporting researchers today to enabling the broader product engineering organization as Anthropic grows Define success metrics around framework adoption and impact - the team succeeds when engineers naturally reach for Secure Frameworks' tools rather than building security solutions from scratch Manage and grow a team of engineers to deliver high-impact projects that balance security rigor with development velocity You may be a good fit if you: 5+ years managing security engineering teams with proven track record of team productivity 5+ years hands-on security and software engineering experience Deep expertise in securing complex architectures, threat modeling, and risk assessment with ability to evaluate security tradeoffs and make risk-based decisions Strong cross-functional collaboration skills, balancing security requirements with developer experience and velocity Clear and persuasive communicator in both writing and verbal settings Passionate about building diverse, high-performing teams and growing engineers in a fast-paced environment Low ego, high empathy, and have a track record as a talent magnet Experience working with technical internal customers Familiarity with AI safety concepts and frameworks Deadline to apply: None. Applications will be reviewed on a rolling basis. The expected salary range for this position is:Annual Salary:$320,000—$485,000 USDLogistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process

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About the TeamThe Multimodal Research team at OpenAI is building the next generation of AI systems that can understand and generate content across multiple modalities—including text, audio, images, and video. The team’s mission is to unlock new capabilities by enabling models to process and reason about diverse data types simultaneously.This team sits at the intersection of cutting-edge research and production, and plays a central role in shaping OpenAI's multimodal offerings—from speech-to-speech agents to video understanding and image generation. Recent projects include real-time voice agents, modular speech components, and fine-tuning pipelines that support product launches like GPT-4oAbout the RoleAs a TL (Tech Lead) for the multimodal infrastructure team, you will help provide technical leadership to a high-caliber team of ML infrastructure engineers supporting every multimodal research initiative at OpenAI. This is a deeply technical, high-impact role at the intersection of systems engineering and ML research. You’ll be responsible for both driving technical direction and supporting the growth and execution of the team.We’re looking for people who are passionate about enabling world-class research through robust, scalable infrastructure and excited by the unique challenges of multimodal systems at massive scale.This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.In this role, you will:Provide technical leadership to a hands-on team building infrastructure for large-scale multimodal research.Collaborate closely with researchers and engineers across OpenAI to support diverse, product-facing multimodal projects.Design, build, and operate software systems for training and evaluating ML models on complex, high-volume multimodal data.You might thrive in this role if you:Are highly technical.Have strong software engineering skills and experience building high-performance infrastructure.Understand or are excited to learn about ML systems, especially those involving large-scale training or multimodal data.Have experience with model training infrastructure, ML performance optimization or kernel development, large scale multimodal data pipelines, and ML developer toolsExcel at cross-functional leadership—able to prioritize across projects and build strong partnerships across research and infrastructure teams.About OpenAIOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.OpenAI Global Applicant Privacy PolicyAt OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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Lumana is on a mission to empower organizations by unlocking the value of their visual data — not just record the world, but to actually understand it and extract meaningful insights. Our AI video security platform delivers unmatched visibility and control, helping customers enhance security and safety, streamline operations, and respond instantly when it matters most.Founded in 2021, we are backed by tier-one Silicon Valley investors with deep team expertise in AI, computer vision, and machine learning. We are one of the fastest-growing video security companies and recently raised the largest Series A within our industry. We’ve built the most intelligent video security solution on the market — one that sees what matters, acts fast, and prevents what used to be inevitable.At Lumana, teams are small, dynamic, and trusted to lead. We think big, move fast, and execute like owners — because we are. Your impact here won’t be filtered. It will be visible, lasting, and real.DescriptionWe’re now seeking a Head of Growth—a highly technical and creative leader who can build our growth engine from the ground up, redesign and optimize our digital presence, and partner across marketing, sales, product, and engineering to deliver measurable pipeline impact.This is not a “set it and forget it” marketing role. This is for a builder—someone eager to run experiments, partner closely with developers to ship impactful website changes, rewire data and analytics systems, and move fast to find what works. If you thrive in the white space of early-stage startups, this role offers the chance to architect and scale Lumana’s growth strategy while pioneering new approaches in AI video security.Location & TravelRemote - U.S.; may include some travel for customer visits, events, and field engagement.ResponsibilitiesOwn the Growth Strategy: Architect and execute full-funnel strategies to drive user acquisition, activation, retention, and revenue.Build Landing Pages & Optimize the Website: Hands-on ability to improve conversion rates, site performance, and SEO; and collaborate closely with developers to implement technical improvements.Build Data Infrastructure: Integrate and unify marketing/sales systems (HubSpot, Salesforce, analytics, attribution) to ensure full-funnel visibility, ROI tracking, and areas of improvement.Run Paid Acquisition & ABM: Build lead magnets and manage, optimize, and scale paid channels (Google, Meta, LinkedIn, DSPs, ABM platforms like ZoomInfo MarketingOS) while designing account-based campaigns that align tightly with sales.SEO & Content Growth: Develop a repeatable content strategy that drives organic pipeline; identify high-intent keywords, build content, launch experiments, and scale what works.Design Growth Systems & Run Experiments: Build new demand gen systems utilizing innovative growth strategies. Hypothesize, test, analyze, and iterate across existing and new channels to unlock new levels of growth.Partner with Sales: Build aligned ABM campaigns, deliver account lists, and ensure SDR/AE teams are armed with sequenced, high-quality leads.Channel Enablement: Support partner growth with demand gen campaigns, lead-sharing, and enablement programs.Hands-On Builder Mentality: Build the systems and campaigns needed to drive growth without relying on contractors or agencies.Champion Data-Driven Decisions: Report on growth metrics that matter—pipeline, conversion rates, CAC, ROI—while cutting through vanity metrics.Stay Ahead of Trends: Explore emerging platforms, growth hacks, and AI-driven tools to maintain Lumana’s competitive edge.We don’t do cookie-cutter. If you’ve got the grit, the drive, and the track record—especially in security or AI—we want to hear from you. Even if you don’t check every box, let’s talk.QualificationsMust Have5+ years of growth marketing/demand generation leadership experience in B2B SaaS, ideally in enterprise or security technology.SEO: Proven track record driving pipeline through SEO; must be able to show direct personal involvement (not just managing an agency).ABM: Hands-on experience designing and executing ABM campaigns, including account list building, targeting, and integration with SDR/AE workflows.Paid Channels: Direct management of paid media (Google, Meta, LinkedIn, DSPs, etc.) with clear ownership of budget (include typical monthly spend in your resume/cover letter). Must show how you attributed pipeline/revenue directly to paid efforts.Proven ability to build website content, improve website conversion rates, and collaborate with developers to build funnels that drive growthDemonstrated success in unifying data systems (e.g., HubSpot + Salesforce) and building end-to-end ROI tracking.Builder mentality: ability to operate independently, roll up sleeves, and scale quickly in a startup environment.Strong collaboration skills, with experience working closely with sales, developers, and product teams.Analytical mindset and fluency in performance metrics—obsessed with testing, learning, and iterating. Nice to HaveExperience with ZoomInfo MarketingOS, DSPs, or advanced ABM platforms.Familiarity with AI, computer vision, or security technology. Lumana Hiring PhilosophyWe spend a lot of time building best-in-class products since we believe a highly differentiated product is easier to sell.We aim to provide both product & industry expertise whenever we interact with prospects and customers.We strongly believe that small teams with very talented people (and the right work environment) deliver much better performance than teams with large headcount. We hire and compensate accordingly.We value a strong sense of ownership, principled thinking over experience, and thoughtful communication.Our Interview ProcessWe keep it focused and respectful of your time—our typical process includes:A 45-minute conversation with our Talent TeamA 60-minute interview with our VP of MarketingA 45-minute session with our VP of RevOpsA 45-minute session with our CEOCurious who you'd be working with? Meet the Leader →What We OfferWe believe great talent deserves great support. Here’s how we invest in you:Competitive Pay: Strong base salary + performance bonusEquity & Upside: Own a piece of what you're buildingTools that Work for You: We arm our team with top-tier tech and modern sales tools—so you can focus on closing, not adminRemote-First Flexibility: Work from where you're most effective, with teammates around the globeProduct Influence: Your voice matters—sales feedback directly shapes our roadmapFor U.S.-Based EmployeesHealth & Wellness: Comprehensive medical, dental, and vision coverageTime Off: 15 days PTO, paid holidays, and sick leaveFinancial: 401(k) with employer match, equity in a fast-growing startupRemote-Friendly: Flexible hybrid/remote work arrangements depending on roleParental Leave: Paid parental leave for new parentsWork Setup: Home office stipend and top-tier equipment providedLumana is an equal opportunity employer‍We are committed to providing equal employment opportunities to all individuals regardless of race, color, ethnicity, religion, sex, gender identity, sexual orientation, national origin, disability, age, marital status, veteran status, pregnancy, or any other basis protected by law.Recruitment Fraud Alert: All Lumana hiring communications come from @lumana.ai — we never ask for payment or personal banking info.Recruiters & Agencies: Lumana does not accept unsolicited resumes from agencies without a signed agreement and will not pay related fees.

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The Opportunity AI is rapidly transforming the world. Whether it’s developing the next generation of human-level intelligence, enhancing voice assistants, or enabling researchers to analyze genetic markers at scale, AI is increasingly integrated into various aspects of our daily lives. Arize AI is the leading AI observability and evaluation platform, empowering AI engineers to build and deploy high-performing, reliable models. As the AI landscape shifts from traditional ML to generative AI and agentic systems, Arize ensures teams have the tools to monitor, troubleshoot, and improve AI in production. This is a client-facing technical role for someone who thrives at the intersection of deep engineering, AI expertise, and business impact. You’ll lead multiple concurrent projects, solve complex problems under tight timelines, and build lasting relationships—helping customers unlock the full potential of our platform and services. This is a unique chance to combine technical depth with real-world impact. You’ll be on the front lines helping some of the most innovative companies operationalize AI—while shaping how our professional services team scales. If you love building, problem-solving, and working directly with world-class teams, this role is for you. While we are a fully remote company, candidates for this role must be based in the Buenos Aires area. What You’ll Do Drive Technical Delivery: Lead the design and implementation of custom AI solutions that extend and complement our core SaaS platform. Partner with Clients: Collaborate closely with client engineering teams, often embedded within their workflows, to build and optimize production AI systems. Measure Impact: Define and monitor statistical metrics, KPIs, and heuristics to track model performance and business outcomes. Troubleshoot and Optimize: Diagnose and resolve complex technical challenges across diverse architectures and environments. Lead Engagements: Manage 3–4 concurrent client projects, balancing timelines, priorities, and executive-level communication. Shape Our Practice: Partner with sales and product teams to scope new engagements, develop service packages, and define best practices as our professional services function grows. What We’re Looking For Technical Expertise 2–5 years of hands-on software development experience, ideally in Python Proven experience developing and deploying machine learning models in production Strong understanding of AI architectures, orchestration frameworks, and deployment strategies Deep familiarity with statistical metrics, performance evaluation, and data-driven experimentation Comfort working across cloud platforms and containerized environments Client & Business Acumen Confident and empathetic communicator who can translate complex technical concepts for business stakeholders Skilled at managing multiple client relationships and deliverables simultaneously Experience in fast-paced startup or consulting environments where adaptability is key Ability to spot and articulate new opportunities for client value and service expansion Mindset Low ego, collaborative, and eager to solve hard problems Comfortable navigating ambiguity while driving toward results Excited to be part of a growing team building something new Actual compensation is determined based upon a variety of job related factors that may include: transferable work experience, skill sets, and qualifications. Total compensation also includes unlimited paid time off, generous parental leave plan, and others for mental and wellness support.More About Arize Arize’s mission is to make the world’s AI work and work for the people. Our founders came together through a common frustration: investments in AI are growing rapidly across businesses and organizations of all types, yet it is incredibly difficult to understand why a machine learning model behaves the way it does after it is deployed into the real world. Learn more about Arize in an interview with our founders: https://www.forbes.com/sites/frederickdaso/2020/09/01/arize-ai-helps-us-understand-how-ai-works/#322488d7753c   Diversity & Inclusion @ Arize Our company's mission is to make AI work and make AI work for the people, we hope to make an impact in bias industry-wide and that's a big motivator for people who work here. We actively hope that individuals contribute to a good culture Regularly have chats with industry experts, researchers, and ethicists across the ecosystem to advance the use of responsible AI Culturally conscious events such as LGBTQ trivia during pride month We have an active Lady Arizers subgroup