AI Product & Operation Jobs

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Meet SienaSiena is the first intelligence layer for customer experience. We're creating an operating system of AI agents that learn, remember, and act across every customer touchpoint—from support conversations to shopping experiences to voice and social media interactions.Siena doesn't just automate support; it powers shopping agents, builds persistent customer memory, generates actionable business insights, and creates empathetic interactions that feel human. We're transforming how businesses understand and connect with their customers, turning every interaction into intelligence that makes the next one better.The teamWe're a small, distributed team that punches way above our weight. Every person here has outsized impact because we've built leverage into everything we do. This philosophy makes us faster and, frankly, more fun to work with.If you're excited about building something that doesn't exist yet, keep reading. We're building agents that don't just respond to customers—they remember them, learn from every interaction, and connect experiences across channels.What we're looking forYou're early in your PM career but hungry to own meaningful product areas at the frontier of AI agents and customer experience.We're looking for someone who can take ownership of defined domains while learning fast from our team. You'll ship capabilities that matter, build systems that scale, and work directly with customers.You have1-3 years product management experience with technical B2B products, ideally CX, e-commerce or AI automationAI-native mindset—you live in Claude, ChatGPT, Cursor and push these tools to their limitsTechnical curiosity—you can scope webhook systems and OAuth flows, even if you don't code themBuilder mentality—you ship features, write docs, run demos, and measure what mattersCustomer confidence—you thrive talking with customers and running product demosYou thrive whenShipping new capabilities that change how customer service worksBuilding systems that automatically improve agent performanceWorking directly with customers to understand their real problemsSeeing features you built get adopted and create customer valueWhat you'll doOwn defined product areas end-to-end while learning our AI agent ecosystem from an elite team.You'll work on expanding our platform capabilities, building evaluation systems, managing integrations, and creating tools that help customers go live faster. You'll run features from internal testing to GA, including customer enablement through webinars and documentation.You'll demo your own products to customers and work alongside sales. You'll be known by name in our customer communities as the PM who ships what they need.Why this role mattersYou'll get direct exposure to CEO-level product thinking while owning meaningful areas of our product. Perfect setup for someone who wants to grow into a senior PM role at a fast-growing AI company.You'll be known by name in our customer communities as the PM who ships what they need.Why Siena?Meaningful impact. Your work directly shapes our product and company.Globally distributed team working at the bleeding edge of CX and AI.Great salary plus the opportunity for equity or stock grants.Learning budget. If you're growing, so are we.The thrill of building something new. Join us at a stage where your contributions matter most.AI-fluency. Make AI your second nature. Tackle unsolved problems. We’re redefining how customer experience will look like in the next decades.Our valuesThe people who thrive here are curious, customer-obsessed, and take ownership without being asked. They fix problems first and explain later. They're direct about feedback—both giving and receiving it—because they care more about getting things right than being polite. They maintain high standards while moving at startup speed, and they build real relationships with teammates because they know that's how great work gets done. When things get tough, they adapt and keep pushing forward.Our approach to AIThe people who thrive here treat AI like a natural extension of themselves. They've built their own ecosystem of agents - some for research, others for debugging, writing, analysis, or writing code. They know which AI works best for what problem.Everyone gets premium accounts (ChatGPT, Claude, Perplexity Pro, Cursor, Lovable) plus a quarterly budget for new tools. But the magic happens in how we share knowledge. Demo days where someone shows off a clever workflows. Slack threads about which model handles a specific use case better. Learning from each other's AI workflows.At Siena, we’re not just looking for people who can do a job. We’re looking for people who want to break boundaries, create the future, and reshape industries. If that’s you, we look forward to your application.Siena provides equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity, or gender expression. We are committed to a diverse and inclusive workforce and welcome people from all backgrounds, experiences, perspectives, and abilities.

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Figure is an AI Robotics company developing a general purpose humanoid. Our humanoid robot, Figure 02, is designed for commercial tasks and the home. We are based in San Jose, CA and require 5 days/week in-office collaboration. It’s time to build. We are looking for a skilled Senior Network Engineer with a strong background in both cloud network administration (AWS, Azure, GCP) and on-premise Cisco networking, including switching and wireless technologies. The ideal candidate will be experienced in managing hybrid environments, configuring firewalls, implementing SD-WAN solutions, and delivering exceptional customer service. This candidate also needs to be experienced in a start-up company environment and be team oriented.  This role plays a critical part in maintaining the integrity, performance, and security of both cloud and on-site network infrastructure for our organization and its clients. Responsibilities: Cloud Network Administration: Design, configure, and support virtual networks, routing, VPNs, and load balancing in AWS, Azure, and GCP. Administer cloud network components (e.g., VPCs, Transit Gateways, Azure VNets, GCP Interconnects). Ensure cloud networking aligns with enterprise security and performance standards. Automate cloud network provisioning using tools like Terraform, CloudFormation, or ARM templates. Monitor and troubleshoot cloud network performance and incidents.  Lead efforts to audit, standardize, and secure Azure networking resources, transforming a loosely managed environment into a well-governed, cost-optimized, and scalable architecture On-Premise Networking: Deploy, configure, and manage Cisco switching and wireless solutions. Maintain wired and wireless network availability across corporate offices. Diagnose and resolve issues related to switches, APs, controllers, and PoE devices. Security & WAN Technologies: Configure and manage firewalls (e.g., Cisco ASA/Firepower, Palo Alto). Implement and support SD-WAN technologies for secure, optimized wide-area connectivity. Ensure network compliance with internal security policies and industry standards. Customer Service & Support: Serve as a point of contact for internal stakeholders and clients on network-related issues. Provide high-quality support, documentation, and communication throughout project lifecycles. Participate in on-call rotations and respond to escalations with professionalism and urgency. Requirements:  Bachelor's degree in Computer Science, Information Technology, or related field (or equivalent experience). 7+ years of hands-on experience in network engineering and cloud administration. Solid experience with: AWS, Azure, and Google Cloud Platform networking components. Experience with AWS Direct Connect or Azure ExpressRoute is a plus. Cisco switching (Layer 2/3) and wireless infrastructure. Experience with Cisco DNS/Catalyst Center is a plus. Firewall configuration and management. SD-WAN solutions (e.g., Cisco Viptela, Velo Cloud, Fatpipe). Strong understanding of networking protocols (TCP/IP, BGP, OSPF, DHCP, DNS, VLANs, etc.). Proficiency in network monitoring and diagnostic tools (e.g., Wireshark, SolarWinds, NetFlow). Excellent communication and customer service skills. Bonus Qualifications:  Relevant certifications, such as: Cisco (CCNA, CCNP) AWS Certified Advanced Networking Azure Network Engineer Associate Google Professional Cloud Network Engineer Experience working in hybrid IT environments (on-prem + cloud). Familiarity with Zero Trust architecture and secure cloud networking principles. Early stage start up experience. Strong problem-solving and troubleshooting skills. Ability to communicate complex technical concepts to non-technical stakeholders. Detail-oriented with a proactive and collaborative mindset. Comfortable working independently and as part of a cross-functional team, in a high paced start-up company environment. The US base salary range for this full-time position is between $180,000 - $240,000 annually. The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended. 

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What is Automat?Automat was founded by a diverse group of creative technologists from teams like Google Creative Lab, and Samsung’s innovation Think Tank Team. We envision a future where intelligent agents streamline business operations - and one day, run their own enterprises. We're redefining Enterprise AI Agents (Robotic Process Automation) and Intelligent Document Processing (IDP), developing the necessary tooling and infrastructure to incorporate the advancements of AI into practical, real-world applications.We value curiosity, collaboration, and impact above rigid requirements. If you're excited about AI and automation, thrive in flexible, creative environments, and want to work on meaningful, pioneering projects, this role is for you.We encourage anyone to apply - we think talent, passion and your unique perspective can outweigh years of experience. We are really looking for someone who can hit the ground running on day one and contribute at a rapid pace, while also being someone from whom we ourselves can learn from. The Role We're looking for a Forward Deployed Engineering Lead to guide our world class team of FDEs as they solve high leverage problems for our most complex enterprise customer engagements. You will interface directly with our customers in an effort to solve their pain points and drive real-world operating efficiency and cost savings. You'll help us design and improve upon our customer delivery process, guiding everything from individual deployment timelines to the overall strategic implementation process across our enterprise book of business.This role is inherently cross-functional - you’ll often be the bridge between product, engineering, and customer teams. It is as important to be comfortable with sales conversations and identifying upsell opportunities as it is to understand how we can expand Automat’s suite of AI-powered product offerings to improve velocity and scale. Success will be measured by impact across all deployments - delivering measurable value against customer goals, driving adoption, and finding avenues to create further engagement with existing customers. What you’ll doOwn the technical delivery for multiple independent workstreams. Translate customer objectives into a plan with milestones, dependencies, and acceptance criteria.Run day-to-day FDE execution. Track and drive delivery across individual customer project teams, ensuring progress is proactively unblocked and sequenced.Define key workflows, tools, and processes for all of our customer deployments.Act as the first technical point of contact for sales, helping scope, define, and qualify potential new customer engagements in a way that helps ground them in a technical manner.Be the eyes and ears for our GTM and Engineering teams to help bridge key objectives across capacity planning and product roadmap development.What drives youMethodically working through complex technical challenges, no matter how detailed or demanding, until the solution emerges.Efficiency without negatively impacting quality.Collaborating in teams of both technical and non-technical membersStandardizing disparate and ambiguous processes so that they become repeatable and scalable as our customers increase in volume and complexity.What’s in your toolboxExcellent communication and collaboration skillsDemonstrated success in leading Enterprise level customer-facing technical roles (e.g., sales engineering, solutions engineering, forward deploy engineering, etc.)Track record of successfully leading large, complex, high-stakes customer engagements where customer outcomes depended on tight engineering coordination and fast decision makingIntrinsically pattern match, always stepping back from execution detail to recognise broader trends across deployments in order to turn individual customer needs into scalable, reusable solutions.What we are looking forTop notch communication and collaboration skills, particularly bridging discussions between technical and non-technical teamsComfort navigating ambiguity and wearing multiple hatsProactive mindset and high initiative, with a bias toward actionAn intrinsic desire to leave things better than you found themExperience as both an IC and technical leader in startups or other dynamic, high-growth setting

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Magical is redefining how work gets done.Our agentic AI platform brings "AI employees" into the workplace to take over the repetitive, soul-crushing workflows that slow teams down. The result: organizations move faster, with sharper focus, and deliver better outcomes where it matters most, like improving patient care.The shift to agentic work is inevitable, and we’re leading it. We've scaled from $0 -> $XM ARR in 3 months with our agentic product, and we're looking for engineers to help us reach $XXM ARR in the next 9 months. As a founding member of our team you’ll be shaping the playbook for the future of work alongside a small, relentless team pushing the edge of what’s possible with AI.We're backed by the investors behind OpenAI, Anthropic, Huggingface, and Notion, including Greylock, Coatue, and Lightspeed. The runway is long. The ambition is high. And the market is wide open.About the roleDesign and orchestrate agentic workflows by combining AI prompting with Magical’s multi-agent platform, extending its capabilities to solve complex, customer-specific challenges.Act as a technical bridge between customers and Magical’s product and engineering teams, capturing real-world feedback and translating it into platform improvements.Diagnose and resolve issues across deployments, integrations, and performance optimizations, ensuring reliability in high-stakes environments like healthcare.Shape the internal playbook by building tools, documentation, and reference implementations that accelerate future customer rollouts and scale Magical’s multi-agent ecosystem.About youYou have 3+ years of experience in engineering, QA engineering, solutions engineering, or similar technical backgroundYou’re deeply curious about AI prompting, multi-agent systems, and automation. Prior experience here is a plus, but a fast learner with strong fundamentals will thrive.Have a strong bias towards action, a willingness to do whatever it takes, and embody show > tellHave a strong sense of agency, effectively prioritizing and unblocking yourself without much outside input.You thrive in early-stage chaos: you’re excited to define the playbook rather than follow one.Studied science or engineering in college (dropout welcome)Located in SF/Toronto or willing to relocateWhat we offerA chance to be an early team member at a fast-growing, ambitious companyThe opportunity to push the boundaries of what’s possible with AIA modern stack and the latest tools to do your best workCompetitive salary and meaningful equityUnlimited PTOFun team offsites, past trips include Iceland, Lisbon, Cancun, and Costa Rica

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Dataiku is The Universal AI Platform™, giving organizations control over their AI talent, processes, and technologies to unleash the creation of analytics, models, and agents. Providing no-, low-, and full-code capabilities, Dataiku meets teams where they are today, allowing them to begin building with AI using their existing skills and knowledge.Dataiku’s mission is big: to enable all people throughout companies around the world to use data by removing friction surrounding data access, cleaning, modeling, deployment, and more. But it’s not just about technology and processes; at Dataiku, we also believe that people (including our people!) are a critical piece of the equation. As more and more companies develop their practice of Artificial Intelligence there is a growing need to reinforce their developments and deliverables with governance and controls. Some of the motivations and objectives for this turn to AI governance include improving the efficiency of their AI initiatives, managing risks, securing compliance, aligning to responsible AI or ethical frameworks, having a systematic approach to value monitoring, and more. Dataiku’s AI Governance offer extends across our platform but centers on Govern. Released in 2021, Govern enables organizations to build, formalize, and systematize governance practices aligned to their objectives. Mission Description As a Senior AI Governance Solutions Consultant with Financial Services & Insurance (FSI) expertise (APAC), reporting to the Senior Director for AI Governance Solutions (UK), you will work with organizations across Asia-Pacific to communicate, demonstrate, and deliver Dataiku’s AI and analytics governance offering. You will also leverage your expertise in FSI to communicate the value of Dataiku across industries within this sector, whether investment, commercial, consumer or insurance.  In practice, this means speaking and presenting to diverse audiences, working closely with organizations and their dedicated teams to build or co-develop bespoke governance solutions or help clients envision how Dataiku can be leveraged across diverse FSI use cases. How you’ll make an impact :  Represent Dataiku's AI and analytics Governance and FSI Solutions teams in APAC region: Working closely with colleagues based across the world, you will be the primary representative of the Governance Solutions team in Singapore, Thailand, Malaysia, Indonesia, and Australia. In addition to your focus on AI and Analytics Governance, you will work closely with the Director for FSI Solutions in order to facilitate demonstrations of how Dataiku works well within this industry. Support pre-sales activities on Dataiku’s AI and analytics governance offering: Interest in AI Governance across the region is increasing. With this interest are opportunities to demonstrate to our customers Dataiku's approach and offering on AI and analytics Governance. Practically, you will work alongside account teams with both prospects and existing customers, working tightly with the Sales Engineering community on opportunity management involving AI Governance. Activities will include product demonstration, value proposition presentation, implementation and integration principles, mapping of post-sales planning or simply acting as a key contact point to answer specific questions about the topic or offer. Support pre-sales activities on Dataiku's FSI offering: Dataiku continues to see success with FSI organizations across the world. With organizations scaling the use of analytics and data science across teams, new opportunities arise every day to show the potential of Dataiku to support diverse use cases. Practically, this means working closely with account teams, in particular Sales Engineers, to scope solution- or use case-specific demos as well as present our existing solutions where relevant to a given customer.  Deliver  post-sales activities on Dataiku’s AI governance offer: Lead mapping of customer governance principles to product capabilities, plan required workshops, down to actual delivery of customized workflows and user training. The AI Governance Consultant will ensure end-to-end delivery as well as support internal and partner resources on projects, with one shared objective: delivery of value-generating governance for our customers. Deliver post-sales activities on the potential of Dataiku in FSI: Work closely with the Director of FSI Solutions and customers to envision new ways of working with Dataiku and, where relevant, advise and support our Global Services organization with build and implementation of discrete use cases. Consistently implement an efficient approach to end-to-end implementation of Dataiku’s AI Governance offer: ensuring key customer stakeholders are involved in governance discussions; conducting deep dives on customer needs, requirements, and challenges; identifying and advising on customer AI governance frameworks;  supporting colleagues on sales; and mapping customer requirements to Dataiku’s product range.  Establish your position as Dataiku’s regional epicenter for expertise on AI Governance & FSI: Proactively engage internal and external stakeholders as an AI Governance SME with FSI expertise through participating in internal upskilling sessions and external-facing panels and speaking engagements. Contribute to product development: Work tightly with the Product team in charge of Dataiku’s dedicated product to shape the roadmap, reporting own and customer feedback. Exercise business/policy expertise and technical skills in the ideation and development of Governance Solutions and Customer Customizations: with respect to solutions, identify opportunities to build standalone AI Governance solutions that speak to market needs, translating existing regulation, policy, or practices into solutions; with respect to customizations, work closely with customers to understand their requirements and demonstrate facility in translating these into the product through unique workflow (Govern-only) or unique workflows with relevant features across the Dataiku platform. Actively contribute to all other activities handled by Dataiku’s team of AI Governance experts: AI regulatory watch, marketing, awareness, internal enablement, support to development of a strong partner network. What you need to be successful  Masters degree, 7 to 10 years of work experience with outstanding track record in complex project management and roll-out, with the capacity to move from initial initiative design to program roll-out; 1 to 3 years of direct AI and Analytics Governance experience preferred. Proven expertise in governance or regulation-related topics. A good understanding of AI and related governance needs or direct experience with AI governance will be a plus.  Ability to gain competence and expertise with our product offering and its capabilities and translate customers’ scoped needs and requirements into technical and practical solutions. Strong translational  skills with ability to listen to customers’ needs and requirements and identify or propose relevant practical solutions. Both able to make detailed recommendations and not afraid to actually do the work. Capable of handling projects end-to-end in an autonomous and inclusive manner, and of sharing best practices with all stakeholders.  Capable of strong People and Relationship management and at ease working with others, whether collaborating with colleagues across teams or supporting and advising customers across geographies. Great communication skills (both written and oral), able to clearly articulate and present complex situations and concepts in a way that is understood by diverse audiences. Adaptable, Professional, Challenge Seeker, Resilient Based in Singapore (remote or office based) Fluent in English is mandatory, Business-level proficiency in Malay, Mandarin, and/or Thai a plus.#LI-Hybrid   What are you waiting for! At Dataiku, you'll be part of a journey to shape the ever-evolving world of AI. We're not just building a product; we're crafting the future of AI. If you're ready to make a significant impact in a company that values innovation, collaboration, and your personal growth, we can't wait to welcome you to Dataiku! And if you’d like to learn even more about working here, you can visit our Dataiku LinkedIn page.   Our practices are rooted in the idea that everyone should be treated with dignity, decency and fairness. Dataiku also believes that a diverse identity is a source of strength and allows us to optimize across the many dimensions that are needed for our success. Therefore, we are proud to be an equal opportunity employer. All employment practices are based on business needs, without regard to race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. This applies to all policies and procedures related to recruitment and hiring, compensation, benefits, performance, promotion and termination and all other conditions and terms of employment. If you need assistance or an accommodation, please contact us at: reasonable-accommodations@dataiku.com     Protect yourself from fraudulent recruitment activity Dataiku will never ask you for payment of any type during the interview or hiring process. Other than our video-conference application, Zoom, we will also never ask you to make purchases or download third-party applications during the process. If you experience something out of the ordinary or suspect fraudulent activity, please review our page on identifying and reporting fraudulent activity here.

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We are an applied AI lab building end-to-end software agents.We’re the makers of Devin, the first AI software engineer. Cognition is building collaborative AI teammates that enable engineers to focus on more interesting problems and empower engineering teams to strive for more ambitious goals.Our team is small and talent-dense. Among our founding team, we have world-class competitive programmers, former founders, and leaders from companies at the cutting edge of AI including Scale AI, Cursor, Waymo, Tesla, Lunchclub, Modal, Google DeepMind, and Nuro.Building Devin is just the first step—our hardest challenges still lie ahead. If you’re excited to solve some of the world’s biggest problems and build AI that can reason on real-world tasks, apply to join us.About the RoleAt Cognition, customers are our highest priority. As a GTM engineer, you will be closer to customer needs than anyone else on the team, working directly with customers throughout the technical implementation lifecycle— implementation to success. You will ship the highest priority customer requests and product improvements, and work closely with product and engineering to define the Devin roadmap. This role offers a unique opportunity to have a major impact on the direction of one of the fastest-growing AI startups.You’ll be successful in this role if you’re excited to discover and solve previously unachievable problems with Devin, if you love building, and if you embody the drive and grit required to win in a fast-paced, high-intensity environment.In this role, you will:Own all technical aspects of the customer lifecycle—from deployment through activation, making sure our customers are successful using DevinWork closely with customers to understand their technical challenges and identify the best use cases for Devin to be a productive contributorBuild deep relationships with our customers’ engineering teams to ensure smooth product integration and adoption, activating top users and driving product utilizationBuild! Always listen to customer feedback, have a bias towards implementing requested features yourself, and advocate for the customers’ needs with the rest of the teamBe the customer oracle! Exercise your product instincts to help set the roadmapRequirements for the role:Demonstrate a track record of success building and selling deeply technical productsYou’re a natural relationship-builder, an excellent communicator and feel comfortable talking about complex technical topics with customers in all roles and levelsYou have technical experience either as a software engineer or forward deployed engineerThrive in ambiguous and rapidly changing environments — you’re willing to move fast and quickly grow in scope and responsibilityYou have a demonstrated exceptional ability to learnYou might excel if you…previously founded a startupare a competitive, highly ambitious person who loves working in high-intensity environmentsthrive in roles that require you to context switch quickly and handle a broad range of technical and non-technical problemslike grinding

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We are an applied AI lab building end-to-end software agents.We’re the makers of Devin, the first AI software engineer. Cognition is building collaborative AI teammates that enable engineers to focus on more interesting problems and empower engineering teams to strive for more ambitious goals.Our team is small and talent-dense. Among our founding team, we have world-class competitive programmers, former founders, and leaders from companies at the cutting edge of AI including Scale AI, Cursor, Waymo, Tesla, Lunchclub, Modal, Google DeepMind, and Nuro.Building Devin is just the first step—our hardest challenges still lie ahead. If you’re excited to solve some of the world’s biggest problems and build AI that can reason on real-world tasks, apply to join us.About the RoleAt Cognition, customers are our highest priority. Deployed Engineers (DEs) are customer-facing technical experts who help our customers maximize the value they get out of Devin. You'll lead all technical aspects of our pre-sales process, designing compelling product demos, executing pilots, and working closely with engineering organizations to identify and delegate the right use cases to Devin. Beyond initial engagement, you'll design and deliver ongoing training programs and enablement resources to help customers roll out Devin to thousands of engineers.You’ll be successful in this role if you have a technical background – either studied computer science or have extensive experience leading highly technical sales engagements – and if you love building, and if you embody the drive and grit required to win in a fast-paced, high-intensity environment.In this role, you will:Own all technical aspects of the customer lifecycle—from deployment through activation, making sure our customers are successful using DevinWork closely with customers to understand their technical challenges and identify the best use cases for Devin to be a productive contributorBuild deep relationships with our customers’ engineering teams to ensure smooth product integration and adoption, activating top users and driving product utilizationBuild! Always listen to customer feedback, have a bias towards implementing requested features yourself, and advocate for the customers’ needs with the rest of the teamBe the customer oracle! Exercise your product instincts to help set the roadmapRequirements for the role:Degree in a STEM fieldProven track record of successful enterprise deployments in previous GTM or forward deployed engineering rolesYou’re a natural relationship-builder, an excellent communicator and feel comfortable talking about complex technical topics with customers in all roles and levelsThrive in ambiguous and rapidly changing environments — you’re willing to move fast and quickly grow in scope and responsibilityYou have a demonstrated exceptional ability to learnYou might excel if you…have sold highly technical productshave worked as a software engineerpreviously founded a startupare a competitive, highly ambitious person who loves working in high-intensity environmentsthrive in roles that require you to context switch quickly and handle a broad range of technical and non-technical problemslike grinding

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Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs.   Cerebras' current customers include global corporations across multiple industries, national labs, and top-tier healthcare systems. In January, we announced a multi-year, multi-million-dollar partnership with Mayo Clinic, underscoring our commitment to transforming AI applications across various fields. In August, we launched Cerebras Inference, the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services.Why Cerebras?   Here at Cerebras, we have built the world’s first wafer-scale compute platform and software stack, purpose-designed to accelerate generative AI by over 10-20x what is possible on legacy processors today. AI developers are limited today by the constant tradeoffs between model quality, speed, and cost, and Cerebras’ mission is to remove these limitations to unlock AI creativity and potential.   Unmatched speed. Our third-generation Wafer-Scale Engine (WSE-3) delivers sub-ms inference latencies and training throughput that eclipses GPU clusters by over 10x. Think instant code generation, instant design creation, agents that interact seamlessly and responsively to their users and environment.   Full-stack innovation. From custom silicon to compilers, model research, and turnkey cloud inference, we are innovating and integrating at every layer so customers can focus on breakthroughs, not bottlenecks.  Real-world impact. Cerebras customers are transforming industries across healthcare, energy, science, government, startup ecosystems, and more. We’re proud to be serving customers spanning the Fortune 500, government labs, and AI-native unicorns.  Backed to win. Cerebras is supported by top investors, like Benchmark, Altimeter, Eclipse, and Coatue.  Fearless and fun culture. We’re a close-knit, creative team that tackles all challenges with optimism and collaboration. We’ve already productized the world’s largest chip by over 50x. How hard can the next problem be? :)    About The Role  As a Forward Deployed Product Manager at Cerebras, you are the tip of the spear for our company. You’ll embed with our most strategic customers, from AI-native startups shipping 0-to-1 products to Fortune 500 enterprises transforming their industries, to translate and guide their ambitions into blazing-fast, production-ready AI solutions.  Think of yourself as part product leader, part technical expert, and part GTM strategist:  Own the outcome – From first whiteboard session to scaled deployment, you are directly accountable for customer success, adoption, and expansion.  Design for speed – Craft PoCs that showcase Cerebras’ latency super-powers, advise on model selection / fine-tuning, and benchmark end-to-end performance.  Navigate complexities – pitch new ideas, align internal and customer stakeholders, unblock hurdles, and convert customer interest into long-term, thriving partnerships.  Shape the roadmap – Distill customer insights into structured product feedback requirements, influencing future software features and chip and cluster designs.   Successful candidates will be passionate about creative problem solving and idea generation, learning and embedding into new domains, building relationships, and delighting customers.   You’ll have the opportunity to learn about and enable some of the most impactful AI products in the world, with industry-leading organizations across each vertical. You will get to work closely with a tight-knit product team, in a fast-moving but supportive environment. Your scope and career here will be driven by your passion, ability, and impact – not by your seniority or prior experience.  Key Responsibilities  You will:  Be the product leader on our most critical lighthouse accounts, each pushing the limits of what’s possible with GenAI.   Engage directly with companies from AI Natives at the cutting edge to large enterprises transforming their industries, to deeply understand their needs, goals, and requirements.  Co-architect solutions— partner with Solutions Architects, Account Managers, and our Engineering and Product teams to design tailored solutions that leverage our 10x faster speed advatanges to transform customer applications.   Directly advise on customers’ long-term AI strategies  Become a go-to-market ninja. You will be co-owning the end-to-end customer journey, working across Sales, Solutions Architects, Marketing, Engineering, and Product teams to convert interest into long-term usage and expansion. As part of this, you will also be continuously helping to improve and optimize our processes.   Identify new collaboration opportunities and use cases within accounts to expand Cerebras’ partnership with them.  Drive the product roadmap, working closely with engineering, ML, and other product teams across the company to bring your deep understanding of customer requirements to drive future feature development.   Skills & Qualifications   Minimum Requirements  Deep passion for creative problem solving and customer success.  Strong technical background (CS/EE background, or prior experience as a SWE), and familiarity with LLMs, inference needs, agents, etc.   5+ years of experience as a product manager, currently at or above the level of Senior PM. Ideally, on a developer-facing product.   Excellent ability to communicate with customers and navigate complex, high-stakes scenarios. Ability to thrive in a fast-paced, dynamic environment.  An entrepreneurial sense of ownership of overall team and product success, and the ability to make things happen around you. A bias towards getting things done, owning the solution, and driving problems to resolution.  Preferred Requirements  Experience with LLM serving stacks (vLLM, TensorRT-LLM, TGI), agent frameworks, etc.  Interest in developer platforms and tooling. MBA of equivalent professional experience. Location   Hybrid at our Sunnyvale, CA or Toronto ON, Canada preferred. Remote possible for candidates willing to travel 1-2x per quarter.   Why Join Cerebras People who are serious about software make their own hardware. At Cerebras we have built a breakthrough architecture that is unlocking new opportunities for the AI industry. With dozens of model releases and rapid growth, we’ve reached an inflection  point in our business. Members of our team tell us there are five main reasons they joined Cerebras: Build a breakthrough AI platform beyond the constraints of the GPU. Publish and open source their cutting-edge AI research. Work on one of the fastest AI supercomputers in the world. Enjoy job stability with startup vitality. Our simple, non-corporate work culture that respects individual beliefs. Read our blog: Five Reasons to Join Cerebras in 2025. Apply today and become part of the forefront of groundbreaking advancements in AI! Cerebras Systems is committed to creating an equal and diverse environment and is proud to be an equal opportunity employer. We celebrate different backgrounds, perspectives, and skills. We believe inclusive teams build better products and companies. We try every day to build a work environment that empowers people to do their best work through continuous learning, growth and support of those around them. This website or its third-party tools process personal data. For more details, click here to review our CCPA disclosure notice.

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Jasper is the leading AI marketing platform, enabling the world's most innovative companies to reimagine their end-to-end marketing workflows and drive higher ROI through increased brand consistency, efficiency, and personalization at scale. Jasper has been recognized as "one of the Top 15 Most Innovative AI Companies of 2024" by Fast Company and is trusted by nearly 20% of the Fortune 500 – including Prudential, Ulta Beauty, and Wayfair. Founded in 2021, Jasper is a remote-first organization with team members across the US, France, and Australia.About The RoleJasper Research is seeking a highly motivated intern to advance the frontiers of open source image-generation and image-editing applications. In this role, you will be instrumental in developing new state-of-the-art open-source text-to-image and image editing models while collaborating closely with our talented team of researchers and engineers. The internship duration is 6 months.We have historically relied on third-party existing open-source image foundational models for its core applications (replace-background, image uncropping, image relighting …), mastering model fine-tuning methods. One of the team’s current core projects consists now of building our own open-weights foundational text-to-image model from scratch.This role is open to candidates located in Paris. It will be a hybrid setup, which requires you to come into the office when necessary. What you will do at JasperAs a Research Scientist Intern, you will work closely with our research team to design and implement new methods to improve the sampling speed of diffusion models, such as, amongst others, re-flow, shortcut models or adversarial diffusion distillation. This role offers a unique opportunity to contribute to the development of a foundational open-source model, addressing challenges in scalability, fidelity, and generalization. You will engage in both theoretical and applied research, collaborating with experts in machine learning, computer vision, and natural language processing. The main goals of this internship are:Research & Development: Conduct literature reviews, propose and implement innovative methods to accelerate the sampling from diffusion models in the context of text-to-image and image editing.Model Training & Evaluation: Participate in the fine-tuning stages of the training of large-scale text-to-image models, conduct rigorous ablations, design evaluation metrics, and analyze model performance.Documentation & Communication: Document research findings, prepare technical reports, and participate in the external communication of the results.Open Source & Community: Contribute to an ambitious open-source project, publish research findings, and engage with the broader AI community.What you will bring to JasperCurrently enrolled in a Ph.D. or M.Sc program in Machine Learning, applied mathematics or computer science (Ph.D, preferred).Experience with distillation and/or improved sampling techniques for diffusion modelsA genuine interest in the field and a strong motivation to contribute to open-source initiatives, with a potentially proven track record through personal projects or previous experience in deep learning, especially generative models (e.g., diffusion models, GANs, VAEs, transformers).Strong coding abilities in Python and deep learning frameworks (PyTorch, TensorFlow, JAX).The ideal candidate will possess a strong critical thinking and problem-solving mindset, coupled with excellent teamwork skills.Being available for period of 6 months.Nice to haveStrong programming Python skills, including software engineering best practices to produce high-quality code.Experience with distributed training and large-scale systems on GPU clustersExperience with large-scale data processingContributions to open-source projects.Proven track record of achieving significant results as demonstrated by first-authored publications in major conferences and journals such as CVPR, ECCV, ICCV, ICLR, NeurIPSBenefits & PerksFlexible, hybrid work environment. Our office is based at Station F in Paris, the vibrant hub of the French startup ecosystem. Our efficient and lean team at Station F thrives on innovation and collaboration.Competitive compensation package

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Jasper is the leading AI marketing platform, enabling the world's most innovative companies to reimagine their end-to-end marketing workflows and drive higher ROI through increased brand consistency, efficiency, and personalization at scale. Jasper has been recognized as "one of the Top 15 Most Innovative AI Companies of 2024" by Fast Company and is trusted by nearly 20% of the Fortune 500 – including Prudential, Ulta Beauty, and Wayfair. Founded in 2021, Jasper is a remote-first organization with team members across the US, France, and Australia.About The RoleJasper Research is seeking a highly motivated intern to advance the frontiers of open source image-generation and image-editing applications. In this role, you will be instrumental in developing new state-of-the-art open-source text-to-image and image editing models while collaborating closely with our talented team of researchers and engineers. The internship duration is 6 months.We have historically relied on third-party existing open-source image foundational models for its core applications (replace-background, image uncropping, image relighting …), mastering model fine-tuning methods. One of the team’s current core projects consists now of building our own open-weights foundational text-to-image model from scratch.This role is open to candidates located in Paris. It will be a hybrid setup, which requires you to come into the office when necessary. What you will do at JasperAs a Research Scientist Intern, you will work closely with our research team to design the best-suited RLHF techniques for diffusion models. This role offers a unique opportunity to contribute to the development of a foundational open-source model, addressing challenges in scalability, fidelity, and generalization. You will engage in both theoretical and applied research, collaborating with experts in machine learning, computer vision, and natural language processing. The main goals of this internship areResearch & Development: Conduct literature reviews, propose and implement innovative methods to fine-tune text-to-image models with reinforcement learning methods (RLHF, DPO)Model Training & Evaluation: Participate in the fine-tuning stages of the training of large-scale text-to-image models, conduct rigorous ablations, design evaluation metrics, and analyze model performance.Documentation & Communication: Document research findings, prepare technical reports, and participate in the external communication of the results.Open Source & Community: Contribute to an ambitious open-source project, publish research findings, and engage with the broader AI community.What you will bring to JasperCurrently enrolled in a Ph.D. or M.Sc program in Machine Learning, applied mathematics or computer science (Ph.D, preferred).Experience with RLHF techniques with application to either Large Language Models or Diffusion Models.A genuine interest in the field and a strong motivation to contribute to open-source initiatives, with a potentially proven track record through personal projects or previous experience in deep learning, especially generative models (e.g., diffusion models, GANs, VAEs, transformers).Strong coding abilities in Python and deep learning frameworks (PyTorch, TensorFlow, JAX).The ideal candidate will possess a strong critical thinking and problem-solving mindset, coupled with excellent teamwork skills.Being available for period of 6 months.Nice to haveStrong programming Python skills, including software engineering best practices to produce high-quality code.Experience with distributed training and large-scale systems on GPU clustersExperience with large-scale data processingContributions to open-source projects.Proven track record of achieving significant results as demonstrated by first-authored publications in major conferences and journals such as CVPR, ECCV, ICCV, ICLR, NeurIPSBenefits & PerksFlexible, hybrid work environment. Our office is based at Station F in Paris, the vibrant hub of the French startup ecosystem. Our efficient and lean team at Station F thrives on innovation and collaboration.Competitive compensation package

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About the teamAdaptive ML is building a reinforcement learning platform to tune, evaluate, and serve specialized language models. We are pioneering the development of task-specific LLMs using synthetic data, creating the foundational tools and products needed for models to self-critique and self-improve based on simple guidelines. Adaptive Engine enables companies to build and deploy the best LLMs for their business. Our founders previously worked together to create state-of-the-art open LLMs. We closed a $20M seed with Index & ICONIQ in early 2024 and are live with our first enterprise customers (e.g., AT&T).At Adaptive ML, our Success team is part of our Technical Staff. Our Technical Staff develops the foundational technology that powers Adaptive ML, while the Success Team ensures our enterprise customers effectively leverage these technologies—particularly through our Adaptive Engine product—to unlock maximum value. About the roleAs an AI Engineer (Pre-Sales) at Adaptive ML, you will be the technical counterpart to our sales team, helping prospective customers understand how Adaptive Engine can solve their hardest problems. You will design and deliver high-impact demos, guide customers through proof of concepts, and develop technical proposals that highlight the differentiated value of our platform and reinforcement learning.Unlike many sales engineering roles, this position is deeply technical. You’ll have the opportunity to use Adaptive Engine hands-on—building demos, fine-tuning LLMs, and standing up pilots that bridge the gap from prospect to customer. You will also help shape the product roadmap by surfacing customer needs and insights.This is an in-person role based in our Toronto or New York offices.Your responsibilitiesPartner with sales to engage with prospects, uncovering business challenges and mapping them to Adaptive ML solutions;Design and deliver compelling technical demos, tailored to specific customer use cases;Lead and manage proof-of-concepts (POCs) and pilots, ensuring technical success and clear business outcomes;Build prototype pipelines and fine-tuned LLMs using Adaptive Engine to showcase production-ready solutions;Translate technical requirements into custom proposals, suggested architectures, and recommendations for customer deployments;Collaborate with our research and product teams to influence roadmap priorities based on customer feedback;Represent Adaptive ML at conferences, webinars, and industry events with technical authority.Your (ideal) backgroundThe background below is only suggestive of a few pointers we believe could be relevant. We welcome applications from candidates with diverse backgrounds; do not hesitate to get in touch if you think you could be a great fit, even if the below doesn't fully describe you.A degree in computer science, or demonstrated experience in software engineering / machine learning;4–8+ years in a pre-sales, solutions engineering, or technical consulting role, ideally in AI/ML or enterprise software;Hands-on experience with data science, machine learning, or NLP; ability to fine-tune or adapt models is a plus;Strong programming skills, with Python required and TypeScript preferred, from quick prototyping to proof-of-concept deployments;Exceptional communication skills—able to clearly explain technical concepts to both technical and non-technical audiences;Curiosity and enthusiasm for generative AI, with a passion for building demos and real-world applications;Empathy, humility, and a collaborative spirit when working with both customers and teammates.BenefitsComprehensive medical (health, dental, and vision) insurance;401(k) plan with 4% matching (or equivalent);Unlimited PTO — we strongly encourage at least 5 weeks each year;Mental health, wellness, and personal development stipends;Visa sponsorship if you wish to relocate to New York or Paris.

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About DustWe're creating a new AI operating system that has the potential to change the way companies operate. Our mission at Dust is to transform how work gets done by letting any team and employee shape the exact agents they need to accelerate their jobs.With 70%+ weekly active users, people stick with Dust as much as they do with Slack and Notion. We already are a core part of their jobs.We are at an exciting stage of our journey. We‘ve raised our Series A, expanded in the US, and hit the $1m and $2m ARR milestones in 2024; we aim to x5 our growth by the end of 2025.Dust is a Sequoia-backed company with an experienced and determined team of optimists (coming from companies like Stripe or OpenAI) that like to focus on users, getting great things done by shipping fast, and doesn’t take itself too seriously while doing so.TLDR;As a Forward Deployed Engineer at Dust, your primary role will be to build for users and accelerate their adoption of AI. This is a high-impact role that combines software engineering with solutions engineering and product development.You’ll have a critical impact by equipping customers with the engineering resources, product creativity, and support they need to get the most value out of Dust. The best candidates are technical engineers with an entrepreneurial and customer-obsessed mindset.ResponsibilitiesYou will be instrumental in ensuring the success of our customers by facilitating their access to advanced use-cases through Dust’s Developer platform and API. Your role will blend technology, product, and success to help us continuously enhance our product suite and to lay the foundations to our global ambitions. While you will not be coding 100% of your time, you will frequently be writing production code and contributing directly to the Dust codebase. Expect to spend time as a hands-on software engineer alongside customer-facing responsibilities. Some of these responsibilities will include:Build technical solutions and drive customer outcomes.Write production-quality code to build custom integrations, APIs, and tooling for enterprise customers when off-the-shelf solutions aren't sufficient.Contribute features and improvements directly to the Dust platform based on customer requirements and field insights.Be the voice of our users and serve as a critical enabler.Act as a key cross-functional partner by collaborating with Sales to help onboard customers, and with Customer Success to drive account strategy and to ensure users maximize the value of Dust.Help set our product roadmap by surfacing feedback and key insights from our customers, partnering with Design and Engineering to craft delightful experiences.Own the end-to-end delivery of our product from the design of a solution to its implementation, including testing and deployment.Lead demo calls, effectively communicating Dust's value proposition to buyers and evaluators (e.g. security and compliance teams). You must possess strong technical acumen and high emotional intelligence (EQ) to adapt explanations and presentations to the audience, ensuring clarity and engagement.Be a trusted advisor to our most strategic customers, helping them set up their Dust workspace, data connections, AI assistants, and workflows. You’ll help them graduate to advanced use cases enabling them to reach their goals faster, and leading to the expansion of our commercial relationships.Identify and highlight successful use cases for Dust. Craft content that sets users up for success, enabling them to maximize the value Dust for their teams. Lead workshops and training sessions to demonstrate advanced features.RequirementsMeaningful experience in a combination of technical and customer-facing roles (e.g. software engineering, solutions architect, implementation engineer).An action-oriented and organized self-starter mindset who isn’t afraid to get scrappy to solve customer issues.A strong work ethic and commitment to excellence.A deep interest in understanding customer needs and the desire to become an expert on Dust’s product.Effective multitasking and prioritization skills under pressure and in ambiguous situations across a wide variety of tasks.Demonstrated ability to work collaboratively with cross-functional teams to achieve shared goals.A data-driven mindset that can interpret customer feedback and behavior.A passion for technology, problem-solving, and a commitment to your customers’ success.High technical aptitude, with an ability to work directly with engineers as well as business stakeholders. Experience with APIs, web development, and writing scripts to build internal tools is a plus. Familiarity with LLMs like GPT-4, Claude, Mistral or Gemini is highly desirable.Compensation and Benefits$100,000 to $200,000 a year.This salary range is the estimated base salary range. Base salaries are just one component of the total compensation package and are determined by a number of factors such as years of experience, expertise, qualifications and more. In addition to base salary, we offer competitive equity packages that play a big part in recognizing you for the huge impact you will have on helping us achieve our mission. Please note, the salary range is a guideline that is subject to change without notice.LocationWe're prioritizing building our team with an in-person culture at our offices in Paris and San Francisco, valuing the magic that happens when talented people work closely together.Why DustWe're not building yet another enterprise SaaS tool. We’re creating an AI OS that will fundamentally change how companies operate. We believe existing AI models are powerful enough to have a tremendous impact on the world (and will keep getting better) – the key is building the infrastructure so that they have context and explore the best interfaces for humans to interact with them.We have the unique opportunity to explore and shape the way humans interact with machines while working on a product we use ourselves every day.If you're excited about crafting products that reinvent B2B software and want to join a team that combines the best of startup culture with the backing of top-tier investors, we'd love to talk.👋 Even if you don't check every box in our requirements, we encourage you to apply. We value diverse perspectives and backgrounds, and we're more interested in your potential and passion than a perfect match to our checklist.___Learn how we think and work.Our product constitution a story about our missionAgents at work - Latent Space, podcast with our cofounder, Stanislas Polu, 2024LLMs reasoning and agentic capabilities over time - dotAI, podcast with our cofounder, Stanislas Polu, 2024

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  About the Company Armada is an edge computing startup that provides computing infrastructure to remote areas where connectivity and cloud infrastructure is limited, as well as areas where data needs to be processed locally for real-time analytics and AI at the edge. We’re looking to bring on the most brilliant minds to help further our mission of bridging the digital divide with advanced technology infrastructure that can be rapidly deployed anywhere.  About the Role The Sales Engineer plays a pivotal role in bridging the gap between technical expertise and sales acumen. This position requires a blend of technical knowledge and interpersonal skills to effectively communicate the value of complex technical solutions to potential clients. The Sales Engineer collaborates closely with the sales team to understand customer needs, provide technical demonstrations, and offer tailored solutions that address client requirements. This role is instrumental in driving revenue growth by effectively positioning the company's products or services within the marketplace. Location. This role is remote in Saudi Arabia. What You'll Do (Key Responsibilities) Bring a high-ownership, self-starting mindset with a willingness to fill gaps, solve problems, and support the team. Thrive in ambiguity, step up without waiting for direction, and contribute beyond your role to drive shared success. Provide expert technical guidance to customers and sales peers regarding Armada’s products and services.  Understand client challenges and propose the appropriate solutions to meet their needs. Lead technical demonstrations, proof-of-concepts, and workshops to showcase features, functionalities, and benefits of the company’s offerings.  Tailor demonstrations and execute workshops to address specific client challenges. Collaborate cross-functionally to support sales, including customer engagements, technical scoping, and proposal development. Influence and align internal teams to drive solution strategy, resource prioritization, and successful business outcomes. Cultivate strong relationships with key client stakeholders, including technical decision makers and influencers.  Serve as a trusted advisor through thought leadership, understanding their challenges, and providing tailored solutions based on technical business needs. Stay ahead of industry trends, competitive developments, and emerging technologies. Leverage market awareness to identify opportunities for product innovation and differentiation. Enhance field team understanding of technical concepts, product features, and selling strategies.  Provide ongoing support and enablement resources to empower sales representatives in their client interactions. Required Qualifications Bachelor’s degree in Computer Science, Engineering, or related field; advanced degree is a plus. 5+ years proven experience in a pre-sales, sales engineering, or solution architecture role supporting technical products. Conceptual understanding of networking and connectivity fundamentals, including IP addressing, firewalls, SD-WAN, and satellite or cellular-based communication systems (e.g., Starlink, LTE/5G). Familiarity with cloud platforms, virtualization or containerization technologies, and modern enterprise infrastructure. Proficiency in at least one core technical domain such as AI/ML infrastructure, connected devices, or data center systems (see Technical Focus Areas below). Working knowledge of cloud platforms, modern networking concepts, and containerization or virtualization technologies. Excellent communication and presentation skills, with the ability to engage and influence both technical and non-technical audiences. Strong problem-solving mindset with the ability to navigate ambiguity and drive clarity. Self-starter who thrives in dynamic environments and effectively manages multiple priorities. Must be willing and able to travel, including potential international travel, as business needs dictate. Preferred Qualifications Prior experience with MEDDPICC, Challenger Sale, Command of the Message etc.; and managing to a sales process. Prior experience with MSPs, Telcos, Oil & Gas, or Utilities. Experience working with or selling physical products, including familiarity with logistics, supply chain operations, import/export processes, and customs requirements Demonstrable expertise in one or more Technical Focus Areas: AI & Edge AI Solution Architecture - This specialty emphasizes expertise in scoping, qualifying, and shaping AI-powered solutions. AI development fundamentals—such as training data quality, data granularity, resolution, variability, and event detection use cases—and how these factors impact model confidence, false positives, and deployment feasibility. Defining inputs (e.g., cameras, sensors) and estimating compute requirements. Familiarity with AI frameworks (e.g., TensorFlow, PyTorch, ONNX) and the broader AI/ML lifecycle is essential, along with a strong grasp of practical AI applications. Modular Data Center Systems & Rack Solutions Architecture – This specialty requires strong systems integration skills and the ability to translate customer requirements into reliable, scalable infrastructure solutions.  Design and integrate compute, storage, and networking systems within modular or micro data center environments; expertise in hybrid cloud and distributed computing (e.g., Azure Stack Edge); and experience with virtualization and containerization platforms (e.g., VMware, Docker, Kubernetes). Asset Management Systems & Integration Architecture:  This specialty emphasizes expertise in connected device ecosystems, remote field deployments, and real-time asset telemetry. Integration of remote field assets such as IoT sensors and camera systems; understand connectivity and deployment challenges in remote environments; and communication networks including Starlink, cellular/5G, and SD-WAN solutions (e.g. Cradlepoint, Peplink). Hands-on experience integrating devices and/or telemetry protocols such as RESTful APIs, WebSockets, and SNMP.    You're a Great Fit if You're A go-getter with a growth mindset. You're intellectually curious, have strong business acumen, and actively seek opportunities to build relevant skills and knowledge  A detail-oriented problem-solver. You can independently gather information, solve problems efficiently, and deliver results with a "get-it-done" attitude  Thrive in a fast-paced environment. You're energized by an entrepreneurial spirit, capable of working quickly, and excited to contribute to a growing company A collaborative team player. You focus on business success and are motivated by team accomplishment vs personal agenda  Highly organized and results-driven. Strong prioritization skills and a dedicated work ethic are essential for you    Equal Opportunity Statement At Armada, we are committed to fostering a work environment where everyone is given equal opportunities to thrive. As an equal opportunity employer, we strictly prohibit discrimination or harassment based on race, color, gender, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other characteristic protected by law. This policy applies to all employment decisions, including hiring, promotions, and compensation. Our hiring is guided by qualifications, merit, and the business needs at the time.   Unsolicited Resumes and Candidates Armada does not accept unsolicited resumes or candidate submissions from external agencies or recruiters. All candidates must apply directly through our careers page. Any resumes submitted by agencies without a prior signed agreement will be considered unsolicited and Armada will not be obligated to pay any fees.  

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Black Forest Labs is a cutting-edge startup pioneering generative image and video models. Our team, which invented Stable Diffusion, Stable Video Diffusion, and FLUX.1, is currently seeking a strong security and compliance to work closely with our team in building and implementing world class security and ensuring regulatory compliance across the business.   The Role: Own and evolve the company-wide security strategy across infrastructure, application, and corporate environments Lead our global compliance programs (e.g., ISO 27001, SOC 2) ensuring we meet regulatory and customer trust requirements. Build and maintain relationships with auditors, ensuring smooth audit processes Address AI-specific compliance requirements around data usage, model governance Build a comprehensive security program that scales with our AI training and inference infrastructure Partner closely with engineering and Devops to embed “secure by default” principles into our architecture and development lifecycle. Secure our model training infrastructure: distributed GPU clusters, data pipelines, training datasets Protect inference infrastructure: model serving endpoints, API gateways, and production deployment pipelines Ensure secure model versioning, storage, and deployment practices Implement access controls and audit trails for sensitive training data and model weights Manage and scale our IT function, ensuring a secure, efficient, and user friendly digital workplace. Establish and maintain risk & governance structures, security policies, and incident response procedures. Design and implement security controls for large scale Kubernetes environments hosting training and inference workloads Lead internal risk assessments and external audits, and build trusted relationships with auditors and customers Create and optimise detections, playbooks, and workflows to quickly identify and respond to potential incidents Make impactful, risk-based security decisions aligned with business objectives Establish security as a competitive advantage while maintaining development velocity Ideal Experience: 5+ years of experience in security roles (Security Officer, Security Engineer, Compliance & Security Manager) Deep understanding of infrastructure security, application security, and cloud security Experience performing security operations or investigations involving large scale Kubernetes environments Track record of successfully managing compliance certifications (SOC 2, ISO 27001, etc.) Exceptional communication and collaboration skills An ability to lead projects with little guidance Experience contributing to a high growth startup environment Experience securing cloud infrastructure (Azure) at scale Experience with or strong interest in securing ML/AI infrastructure is highly valued      

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At Mindrift, innovation meets opportunity. We believe in using the power of collective human intelligence to ethically shape the future of AI.  The Mindrift platform, launched and powered by Toloka, connects domain experts with cutting-edge AI projects from innovative tech clients. Our mission is to unlock the potential of GenAI by tapping into real-world expertise from across the globe. Who we're looking for:We’re looking for curious and intellectually proactive contributors, the kind of person who double-checks assumptions and plays devil’s advocate. Are you comfortable with ambiguity and complexity? Does an async, remote, flexible opportunity sound exciting? Would you like to learn how modern AI systems are tested and evaluated?This is a flexible, project-based opportunity well-suited for: Analysts, researchers, or consultants with strong critical thinking skills. Students (senior undergrads / grad students) looking for an intellectually interesting gig. People open to a part-time and non-permanent opportunity. About the project:We’re on the hunt for QAs for autonomous AI agents for a new project focused on validating and improving complex task structures, policy logic, and agent evaluation frameworks. Throughout the project, you’ll have to balance quality assurance, research, and logical problem-solving. This project opportunity is ideal for people who enjoy looking at systems holistically and thinking through scenarios, implications, and edge cases.You do not need a coding background, but you must be curious, intellectually rigorous, and capable of evaluating the soundness and consistency of complex setups. If you’ve ever excelled in things like consulting, CHGK, Olympiads, case solving, or systems thinking — you might be a great fit.What you’ll be doing: Reviewing evaluation tasks and scenarios for logic, completeness, and realism. Identifying inconsistencies, missing assumptions, or unclear decision points. Helping define clear expected behaviors (gold standards) for AI agents. Annotating cause-effect relationships, reasoning paths, and plausible alternatives. Thinking through complex systems and policies as a human would to ensure agents are tested properly. Working closely with QA, writers, or developers to suggest refinements or edge case coverage. How to get started:Apply to this post, qualify, and get the chance to contribute to a project aligned with your skills, on your own schedule. Shape the future of AI while building tools that benefit everyone.Requirements Excellent analytical thinking: Can reason about complex systems, scenarios, and logical implications. Strong attention to detail: Can spot contradictions, ambiguities, and vague requirements. Familiarity with structured data formats: Can read, not necessarily write JSON/YAML. Can assess scenarios holistically: What's missing, what’s unrealistic, what might break? Good communication and clear writing (in English) to document your findings. We also value applicants who have: Experience with policy evaluation, logic puzzles, case studies, or structured scenario design. Background in consulting, academia, olympiads (e.g. logic/math/informatics), or research. Exposure to LLMs, prompt engineering, or AI-generated content. Familiarity with QA or test-case thinking (edge cases, failure modes, “what could go wrong”). Some understanding of how scoring or evaluation works in agent testing (precision, coverage, etc.). Benefits Take part in a flexible, remote, freelance project that fits around your primary professional or academic commitments. Participate in an advanced AI project and gain valuable experience to enhance your portfolio. Influence how future AI models understand and communicate in your field of expertise.

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About LangChain:LangChain was founded in early 2023 to help developers build context-aware reasoning applications. LangChain, open source software, is a framework that gives developers the building blocks to create production-ready applications with LLMs. LangSmith is our commercial, all-in-one SaaS platform that enables the end-to-end, development workflow for building LangChain and LLM-powered apps. LangSmith is now trusted by the best teams building with LLMs, at companies such as Airbnb, Rakuten, Elastic, Moody’s, Retool, and more. We’re a small team making an outsized impact (~5M monthly downloads and 50k+ applications powered).Backed by some of the best venture capitalists, Benchmark and Sequoia, we have big ambitions and are set up to build an enduring business. About the role:In person 5 days/week in San Francisco, CA or New York, NYWe are looking for a Backend Engineer to join our LangSmith team. In this role, you will be responsible for designing and building the backend systems that power LangChain’s observability and evals platform. You will work on the core services that allow developers to monitor and evaluate their AI applications at scale. While the focus is on backend feature development, familiarity with fullstack or frontend engineering, performance tuning, and debugging production issues would be extremely valuable.What you will do:Design, develop, and maintain backend services and APIs to support LangSmith’s tracing, monitoring, and evaluation workflows.Collaborate on architectural decisions to ensure systems are performant and maintainable.Optimize storage and query performance for high-volume observability and evaluation data.Ensure system reliability through strong testing, monitoring, and alerting practices.Troubleshoot and resolve production issues, performing root-cause analysis and implementing long-term fixes.Create and maintain technical documentation, including system design and API references.Work closely with full-stack engineers, product managers, and product designers on rolling out new features.How to be successful in this role:5+ years of professional experience in backend engineeringProficiency in one or more backend languages/frameworks, ideally Python or GoStrong understanding of API design and building reliable data services.Experience with high-throughput or mission-critical systems.Demonstrated ability to optimize backend services for performance and reliability.Experience with database systems (Postgres, Redis, Clickhouse), and cloud platforms (AWS, GCP, Azure)Strong communication skills, with the ability to collaborate cross-functionallyCustomer centricity and ownership mentalityCompensation & Benefits:Competitive salary, equity & benefits package, commensurate with experience and aligned with stage of the company.Annual salary range: $155,000- $195,000

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Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years.ABOUT THE JOB Anduril is seeking an experienced Systems Engineer with expertise in energy storage subsystem development. Looking for a self-starter with technical experience in defense, aerospace, industrial or electrification industries to apply their skills to meet Anduril’s unique set of challenges. This individual will be responsible for energy storage development and systems engineering, from concept to production, while ensuring alignment with strategic business goals supporting the AD&S team. The engineer could also be involved in managing key vendor relationships, and ensuring performance and reliability in our cutting-edge technologies. WHAT YOU’LL DO Drive end-to-end energy storage system (ESS) development on extremely accelerated timelines Collaborate with program teams to define actionable ESS requirements from user story/CONOPs Execute and/or deliver the following ESS development artifacts/steps: ESS requirements, battery cell selection and validation Familiarity with ESS architecture and design concepts Battery management system (BMS) requirements, BMS HW and FW/SW design, BMS SW feature plan/roadmap, BMS validation plan at bench and HIL level Cell, module, and pack level validation plan. Support bring-up, test, debug, and vehicle integration Ramp plan from development units to production Sustain fielded ESSs with root cause analysis and data processing, drive countermeasures/design updates as needed REQUIRED QUALIFICATIONS Bachelor’s Degree in Electrical Engineering, Mechanical Engineering or fundamental Physical Sciences with applied application focus on energy storage technologies, with 5+ years of experience designing, testing, and troubleshooting energy storage systems. Competence with battery test equipment such as cell and pack cyclers, thermal chambers, battery health testers (EIS, ACIR, hi-pot, megger, etc) One of the following: 1) Experience with programming and modeling tools: Matlab, Simulink, and/or battery algorithm development. 2) Electrical circuit design/integrations experience. Familiarity with common electrochemical energy storage materials, technologies and boundaries of operation Knowledge of modern battery management system capabilities and requirements in HW and SW/FW Experience in battery characterization methods: mission profile validation, equivalent-circuit model characterization, cycle/calendar life assessment, safety features, etc. Understanding of UN38.3, NAVSEA S9310 and/or equivalent (UL, IEC) battery safety standards Must be a U.S. Person due to required access to U.S. export controlled information or facilities PREFERRED QUALIFICATIONS Graduate Degree in Electrical Engineering, Mechanical Engineering or fundamental Physical Sciences with a focus on energy storage technologies Understanding and familiarity with MIL-STD-882, MIL-STD-810, MIL-STD-704, MIL-STD-461, MIL-STD-464 Demonstrated experience in delivering robust, high-performance, energy storage systems with substantial technical ownership/contributions Demonstrated experience in battery testing, modeling, controls, and BMS integration/operation  US Salary Range$132,000—$213,000 USD  The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril's total compensation package. Additionally, Anduril offers top-tier benefits for full-time employees, including: Platinum Healthcare Benefits: For U.S. roles, we offer comprehensive medical, dental, and vision plans at little to no cost to you. For UK roles, Private Medical Insurance (PMI): Anduril will cover the full cost of the insurance premium for an employee and dependents. For AUS roles, Private health plan through Bupa: Coverage is fully subsidized by Anduril. Basic Life/AD&D and long-term disability insurance 100% covered by Anduril, plus the option to purchase additional life insurance for you and your dependents. Extremely generous company holiday calendar including a holiday hiatus in December, and highly competitive PTO plans. 16 weeks of paid Caregiver & Wellness Leave to care for a family member, bond with your baby, or tend to your own medical condition. Family Planning & Parenting Support: Fertility (eg, IVF, preservation), adoption, and gestational carrier coverage with additional benefits and resources to provide support from planning to parenting. Mental Health Resources: We provide free mental health resources 24/7 including therapy, life coaching, and more. Additional work-life services, such as free legal and financial support, available to you as well. A professional development stipend is available to all Andurilians. Company-funded commuter benefits available based on your region. Relocation assistance (depending on role eligibility). 401(k) retirement savings plan - both a traditional and Roth 401(k). (US roles only) The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process. Anduril is an equal-opportunity employer committed to creating a diverse and inclusive workplace. The Anduril team is made up of incredibly talented and unique individuals, who together are disrupting industry norms by creating new paths towards the future of defense technology. All qualified applicants will be treated with respect and receive equal consideration for employment without regard to race, color, creed, religion, sex, gender identity, sexual orientation, national origin, disability, uniform service, Veteran status, age, or any other protected characteristic per federal, state, or local law, including those with a criminal history, in a manner consistent with the requirements of applicable state and local laws, including the CA Fair Chance Initiative for Hiring Ordinance. We actively encourage members of recognized minorities, women, Veterans, and those with disabilities to apply, and we work to create a welcoming and supportive environment for all applicants throughout the interview process. If you are someone passionate about working on problems that have a real-world impact, we'd love to hear from you! To view Anduril's candidate data privacy policy, please visit https://anduril.com/applicant-privacy-notice/.

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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 The future of customer engagement is AI-driven, with conversational automation representing a $300B market opportunity. While traditional NLP/NLU-powered solutions have fallen short, Observe.AI is leading the revolution with state-of-the-art LLM-powered Conversational AI technology. Backed by 7 years of experience and insights from 300+ customers, we’re perfectly positioned to disrupt the space and unlock massive value for enterprises worldwide. We are seeking an Implementation Manager who will be responsible for project managing, facilitating stakeholder design workshops, building out customer use-cases discovered during onboarding, and delivering virtual/onsite software training to trainer and end-user audiences. The implementation manager will work with new customers to stand up their Observe.AI programs and existing customers to expand their capabilities with the Observe.AI product suite. This role will need to quickly learn and adapt the customer's business objectives into a successful onboarding process from sales handoff to CSM transition. The ideal candidate applies their SaaS experience to driving implementation projects to completion, engaging key stakeholders to build a strong program foundation, and communicating technical and functional concepts in a clear concise manner. As a key member of our core team, you’ll play a pivotal role in implementing and launching cutting-edge Conversational AI products. You’ll work at the forefront of AI innovation, helping to build solutions that will transform how global enterprises adopt and scale AI—delivering real-time customer assistance, smarter automation, and seamless interactions. This is your chance to join an industry leader as we drive the future of Conversational AI and empower enterprises to reach new levels of efficiency and customer satisfaction. What you’ll be doing Lead a customer-facing program team through implementation involving discovery, technical setup, functional setup, and enablement training Guide and enable customers on their contact center AI journey with our software Manage client expectations, project timelines, documentation artifacts, and team resources Partner with CSMs to create value-based adoption goals that set the Customer up for a successful launch Deliver tailored customer enablement sessions across a variety of formats (e.g. live, recorded, virtual, in-person, train-the-trainer) Communicate project status, issues, and risks while escalating effectively as appropriate Manage multiple customer projects simultaneously Interact cross-functionally with Sales, Product-Engineering, and Customer Success to deliver project scope What you bring to the role 2+ years of work experience implementing B2B SaaS software Experience in a customer-facing role with clear deliverables and stakeholder management Comfort in crafting and delivering user-centered communications  Strong analytical and problem-solving skills in a software context Excellent attention to detail and time management skills Training experience is highly preferred What you can expect Competitive compensation including equity Excellent medical, dental, and vision insurance options Flexible time off  10 Company holidays + Winter Break and up to 16-weeks of parental leave 401K plan Quarterly Lifestyle Spend Monthly Mobile + Internet Stipend Pre-tax Commuter Benefits Salary Range The base salary compensation range targeted for this full-time position is $100,000 - $110,000 per annum. Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives and equity (in the form of options). This salary range is an estimate, and the actual salary may vary based on the Company’s compensation practices. 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. #LI-REMOTE

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About the Role We are building the next-generation AI-powered platform and web application for easy and fast creation of audio and video content. Building a revolutionary way to record, transcribe, edit, and mix audio and video on the web comes with a series of unique technical challenges and requires solving hard and complex problems. We are looking for an experienced software engineer to build a best-in-class video editing and streaming platform to power the core editing and AI functionality of the app. About the team: Descript’s editor product makes the creation of high quality video and audio content accessible to anyone. The product, which was originally geared towards podcasters, has grown into a broad suite of editing tools that support a wide range of use cases. The Editor team is responsible for building the product experiences that will continue to expand the capabilities of the editing experience and enable even more people to experience the ease and joy of producing content with Descript. What you bring: 5+ years of professional fullstack software engineering experience. Expertise in Typescript, React, and RESTful APIs Solid CS fundamentals, including data structures, algorithms, databases (Postgres, Redis) Experience building creative tools in the past or you're a frequent user of creative media tools A desire to have a high degree of ownership and accountability A deep understanding of system design principles and are effective at understanding and integrating customer needs into your decisions The ability to thrive in collaborative environments including when working with other functions (e.g. product, design, research, AI engineering) What the team is working on: As the owners of the core editing experience, the Editor team’s work covers a broad range of features. Building traditional editing functionality (e.g. timeline editing, effects & animations) Integrating in-house (e.g. studio audio) and third-party AI functionality to supercharge any user’s ability to make excellent video and audio content Supporting the data model and systems that manage the state of projects across clients Building media management features that enable organizations to build on Descript as a team This team might be a good fit for you if… You’re excited to work on creative tools where users’ workflows are varied and complex You’re energized by having a high degree of ownership and accountability You like to own technical solutions and are also passionate about making the best product experience possible for the user You thrive in collaborative environments and enjoy working with other functions (e.g. product, design, research, AI engineering)   At our current size and stage, we embrace a flat organizational structure and value the expertise and contributions of every team member. As such, we have a unified job title for our engineering roles where everyone, including those with Staff-level scope, is considered a Software Engineer. While titles may not change, we are actively seeking Software Engineers with senior-or-higher-equivalent experience to join our team. The base salary range for this role is $212,000-$250,000/year. Final offer amounts will carefully consider multiple factors, including prior experience, expertise, location, and may vary from the amount above.  About Descript Descript is building a simple, intuitive, fully-powered editing tool for video and audio — an editing tool built for the age of AI. We are a team of 150 and the backing of some of the world's greatest investors (OpenAI, Andreessen Horowitz, Redpoint Ventures, Spark Capital).  Descript is the special company that's in possession of both product market fit and the raw materials (passionate user community, great product, large market) for growth, but is still early enough that each new employee has a measurable influence on the direction of the company. Benefits include a generous healthcare package, 401k matching program, catered lunches, and flexible vacation time. Our headquarters are located in the Mission District of San Francisco, CA. We're hiring for a mix of remote roles and hybrid roles.  For those who are remote, we have a handful of opportunities throughout the year for in person collaboration.  For our hybrid roles, we're flexible, and you're an adult—we don't expect or mandate that you're in the office every day. We do believe there are valuable and serendipitous moments of discovery and collaboration that come from working together in person.  Descript is an equal opportunity workplace—we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. We believe in actively building a team rich in diverse backgrounds, experiences, and opinions to better allow our employees, products, and community to thrive. 

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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.About This Role:As a Senior Staff Software Engineer on the Managed AI team at Crusoe, you'll have a pivotal role in shaping the architecture and scalability of our next-generation AI inference platform. You will lead the design and implementation of core systems for our AI services, including resilient fault-tolerant queues, model catalogs, and scheduling mechanisms optimized for cost and performance. This role gives you the opportunity to build and scale infrastructure capable of handling millions of API requests per second across thousands of customers.From day one, you'll own critical subsystems for managed AI inference, helping to serve large language models (LLMs) to a global audience. As part of a dynamic, fast-growing team, you’ll collaborate cross-functionally, influence the long-term vision of the platform, and contribute to cutting-edge AI technologies. This is a unique opportunity to build a high-performance AI product that will be central to Crusoe's business growth.What You’ll Be Working On:Design and Development:Lead the design and implementation of core AI services, including:Resilient fault-tolerant queues for efficient task distribution.Model catalogs for managing and versioning AI models.Scheduling mechanisms optimized for cost and performance.High-performance APIs for serving AI models to customers.Scalability and Performance:Build and scale infrastructure to handle millions of API requests per second.Optimize AI inference performance on GPU-based systems.Implement robust monitoring and alerting to ensure system health and availability.Collaboration and Innovation:Collaborate closely with product management, business strategy, and other engineering teams.Influence the long-term vision and architectural decisions of the AI platform.Contribute to open-source AI frameworks and participate in the AI community.Prototype and iterate on new features and technologies.What You’ll Bring to the Team:Strong Engineering Fundamentals:Advanced degree in Computer Science, Engineering, or a related field.Demonstrable experience in distributed systems design and implementation.Proven track record of delivering early-stage projects under tight deadlines.Expertise in using cloud-based services, such as, elastic compute, object storage, virtual private networks, managed database, etc.AI/ML Expertise:Experience in Generative AI (Large Language Models, Multimodal).Familiarity with AI infrastructure, including training, inference, and ETL pipelines.Software Engineering Skills:Experience with container runtimes (e.g., Kubernetes) and microservices architectures.Experience using REST APIs and common communication protocols, such as gRPC.Demonstrated experience in the software development cycle and familiarity with CI/CD tools.Preferred Qualifications:Proficiency in Golang or Python for large-scale, production-level services.Contributions to open-source AI projects such as VLLM or similar frameworks.Performance optimizations on GPU systems and inference frameworks.Personal Attributes:Proactive and collaborative approach with the ability to work autonomously.Strong communication and interpersonal skills.Passion for building cutting-edge AI products and solving challenging technical problems.Benefits:Industry 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 FSA benefit of $200 per monthCompensation:Compensation will be paid up to $259,000 a year + Bonus. 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.