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This opportunity is only for candidates currently residing in the specified country. Your location may affect eligibility and rates. Please submit your resume in English and indicate your level of English proficiency.At Mindrift, innovation meets opportunity. We believe in using the power of collective human intelligence to ethically shape the future of AI. What we doThe 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.RequirementsExcellent 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.Ability to 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 Get paid for your expertise, with rates that can go up to $55/hour depending on your skills, experience, and project needs. 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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Lambda, The Superintelligence Cloud, builds Gigawatt-scale AI Factories for Training and Inference. Lambda’s mission is to make compute as ubiquitous as electricity and give every person access to artificial intelligence. One person, one GPU. If you'd like to build the world's best deep learning cloud, join us.  About the roleWe are looking for a hands-on and customer-focused leader to build and guide our Super Intelligence HPC Support Engineering team. This team partners directly with Lambda’s largest and most complex customers — organizations operating hyperscale GPU clusters and mission-critical AI workloads at global scale.As the Manager of this team, you’ll be responsible for ensuring Lambda delivers world-class support to the most demanding environments in AI. You’ll combine deep HPC technical expertise with strong leadership, enabling your engineers to solve the hardest problems while representing Lambda with credibility and confidence in high-stakes customer situations.This role requires a balance of technical depth, customer engagement, and people leadership. You’ll mentor a team of senior engineers, own critical escalations, and serve as the bridge between Support, Product, Engineering, and Sales for our Super Intelligence business unit. Your ability to set direction, motivate a high-performing team, and advocate for customer success will directly influence Lambda’s reputation with the world’s top AI companies.This position reports to the Director of Support.What You'll DoLead & Develop: Build, coach, and mentor a team of Super Intelligence HPC Support Engineers, ensuring technical excellence and strong execution in customer-facing work.Escalation Ownership: Take point on high-visibility incidents and escalations with hyperscale customers, ensuring timely, transparent, and high-quality outcomes.Customer Advocacy: Represent the needs of Super Intelligence customers in cross-functional discussions, influencing product design and roadmap decisions to improve supportability.Incident Leadership: Guide your team through major incidents, driving consistency in communication, coordination, and resolution under pressure.Operational Excellence: Define and refine support processes, runbooks, and documentation tailored to hyperscale environments.Partnership: Collaborate closely with Product, Engineering, and Data Center teams to ensure Lambda delivers reliable, scalable solutions at the largest levels of deployment.Metrics & Accountability: Monitor team performance, drive improvements in SLA adherence, response/resolution quality, and customer satisfaction.Hands-On Leadership: Step in to troubleshoot complex issues and model the standard of excellence expected from your team.YouProven track record leading technical support or engineering teams serving enterprise or hyperscale customers.Skilled at managing customer escalations and major incidents with clarity, confidence, and urgency.Deep expertise in HPC environments including GPU clusters, InfiniBand/RoCE networks, and Linux system administration.Ability to guide engineers through troubleshooting at scale, from orchestration (Slurm/Kubernetes) down to kernel-level debugging.Strong leadership presence: able to inspire, set direction, and build a culture of accountability and customer-first execution.Excellent communication skills, capable of engaging with both engineers and executive stakeholders.Nice to haveAdvanced degree in Computer Science, Engineering, or related field.Certifications in HPC, networking, or related technologies.Experience with Slurm, Kubernetes, InfiniBand, and other high-performance interconnects (RoCE, NVLink/NVSwitch).Background supporting Private Cloud environments or other dedicated enterprise clusters.Experience supporting enterprise AI workloads across startups and Fortune 500 companies.Salary Range InformationThe annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description. About LambdaFounded in 2012, ~400 employees (2025) and growing fastWe offer generous cash & equity compensationOur investors include Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, US Innovative Technology, Gradient Ventures, Mercato Partners, SVB, 1517, Crescent Cove.We are experiencing extremely high demand for our systems, with quarter over quarter, year over year profitabilityOur research papers have been accepted into top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOGHealth, dental, and vision coverage for you and your dependentsWellness and Commuter stipends for select roles401k Plan with 2% company match (USA employees)Flexible Paid Time Off Plan that we all actually useA Final Note:You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.Equal Opportunity EmployerLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

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Who We Are PathAI's mission is to improve patient outcomes with AI-powered pathology. Our platform promises substantial improvements to the accuracy of diagnosis and the efficacy of treatment of diseases like cancer, leveraging modern approaches in machine learning and artificial intelligence. We have a track record of success in deploying AI algorithms for histopathology in translational research, pathology labs and clinical trials.  Rigorous science and careful analysis is critical to the success of everything we do. Our team, composed of diverse employees with a wide range of backgrounds and experiences, is passionate about solving challenging problems and making a huge impact on patient outcomes. Where You Fit  Our Intern/Co-op program is designed to give you a real-world view of what it's like to be a Machine Learning Engineer at PathAI. You will be embedded directly into our AI product and ML Core teams, working on active projects that have a direct impact on our technical roadmap and business goals. You will collaborate with a cross-functional team of scientists, engineers, and product managers to translate clinical needs into scalable ML solutions. This is your chance to contribute to meaningful work that directly relates to patient outcomes. Timeline: This opportunity is for Spring & Summer 2026. We are looking for interns/co-ops who can commit to 3-6 months at PathAI (4-6 months preferred). Location: We have offices in Boston, MA and New York, NY and would prefer interns/co-ops who can work from one of those locations—however, we will also consider remote candidates (US based only). What You’ll Do Contribute to the design, development, and evaluation of machine learning models for our AI products, AI services and core ML models. Work on subprojects derived from our ongoing ML product roadmap, focusing on areas like model improvements with novel techniques. Partner with our MLOps and platform teams to help build and improve our ML pipelines. Participate in experimental design, analysis, and team knowledge-sharing initiatives like design reviews, technical forums and journal clubs. What You Bring  Currently pursuing a M.S., or Ph.D. in Computer Science, Electrical Engineering, Biomedical Engineering with a focus on Computer Vision and Machine Learning. Strong programming skills in Python and hands-on experience with ML frameworks (e.g., PyTorch, TensorFlow). A solid grasp of the fundamentals of machine learning and/or computer vision. Excellent communication skills and a desire to work in a highly collaborative, cross-functional environment. A passion for our mission to improve patient outcomes. [Nice-to-have] Any high impact contributions through any AI/ML publications, open-source projects and any AI based products. We are looking for team players who are passionate about what they do and are willing to tackle any task to contribute to our goals. You could be exactly who we are looking for! We Want To Hear From You At PathAI, we are looking for individuals who are team players, are willing to do the work no matter how big or small it may be, and who are passionate about everything they do. If this sounds like you, even if you may not match the job description to a tee, we encourage you to apply. You could be exactly what we're looking for.  PathAI is an equal opportunity employer, dedicated to creating a workplace that is free of harassment and discrimination. We base our employment decisions on business needs, job requirements, and qualifications — that's all. We do not discriminate based on race, gender, religion, health, personal beliefs, age, family or parental status, or any other status. We don't tolerate any kind of discrimination or bias, and we are looking for teammates who feel the same way.  

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About BasisBasis equips accountants with a team of AI agents to take on real workflows.We have hit product-market fit, have more demand than we can meet, and just raised $34m to scale at a speed that meets this moment.Built in New York City. Read more about Basis here.About the TeamThe Platform Engineering team at Basis designs, builds, and operates the infrastructure that powers our AI research and products. We’re a lean team that loves architecting large-scale distributed systems from first principles. We obsess over clarity: clean abstractions, simple mental models, and crisp interfaces that let our product and research teams move fast without breaking things.We’re not building “features”—we’re building capabilities for an AI accountant. That means modeling the world the agent lives in (accounting concepts, workflows, and constraints) and providing rock-solid foundations: scalable services, efficient data pipelines, and end-to-end observability.About the RoleAs an Engineering Leader on the Platform team, your job is to make the team successful—to achieve ambitious technical goals and to build the people and systems that make that success sustainable. You’ll be responsible for shaping technical direction, building world-class engineers, and ensuring that what we build today still feels right a year from now.This is a highly hands-on leadership role: you’ll design systems, review architecture, debug hard problems, and set standards for technical excellence—but you’ll also coach, grow, and unblock others so that great things happen without you.What you’ll be doing:Drive impact at the company levelTranslate company priorities into clear technical goals for the platform team.Align infra, data, and modeling work so that Basis ships faster and more reliably.Look around corners: anticipate scaling, cost, and reliability challenges before they arrive.Make tradeoffs that serve the long-term mission, not just the local optimum.2. Build and grow the teamHire, mentor, and grow exceptional engineers.Create an environment where people are challenged, supported, and proud of their craft.Foster a culture of clarity, accountability, and feedback—where problems are owned and learning is shared.Model calmness, authenticity, and conviction, especially when things are uncertain.3. Elevate the craftBe deeply technical: design architectures, review critical code, and guide standards for performance and reliability.Insist on simple, elegant systems and crisp boundaries between layers.Continuously improve processes—recruiting, onboarding, incident response, project planning—so that the organization scales with the product.Leave every system and every person better than you found them.📍 Location: NYC, Flatiron office. In-person team.What we’d love to see:Think in systems—technical, human, and organizational—and can navigate all three.See the success of the company and the success of the team as one and the same.Are equally comfortable designing a schema, writing a Terraform module, or coaching someone through a tough conversation.Communicate clearly, make decisions with conviction, and are unafraid to challenge ideas to find the best one.Are relentlessly curious and iterative—learning, refining, and raising the bar every week.What Success looks like in this roleProcess-oriented: Skilled at breaking down complex problems into clear, repeatable steps and managing execution.Strong communicator: Clear in explaining concepts and comfortable collaborating across all levels of seniority.First-principles reasoner: Question assumptions and apply lessons creatively to new situations.Company-builder: Eager to lay groundwork both technically and culturally as we rapidly scale.Office lover: Prefers face-to-face interactions in our NYC office.All-in: Driven to seize a massive opportunity, accelerate growth, and commit deeply to Basis’s success.In accordance with New York State regulations, the salary range for this position is $100,000 –$300,000. This range represents our broad compensation philosophy and covers various responsibility and experience levels. Additionally, all employees are eligible to participate in our equity plan and benefits program. We are committed to meritocratic and competitive compensation.

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About Sana We're on a mission to revolutionize how humans access knowledge through artificial intelligence. Throughout history, breakthroughs in knowledge sharing—from the Library of Alexandria to the printing press to Google—have been pivotal drivers of human progress. Today, as the volume of human knowledge grows exponentially, making it accessible and actionable remains one of humanity's most critical challenges. We're building a future where knowledge isn't just more accessible—it's a catalyst for achieving the previously impossible. If all of this sounds exciting, you’re in the right place. About the roleWe believe that everything starts with learning. And that by changing the way the world learns, we can change the world for the better. If that’s a mission that excites you, you’ll be in great company at Sana. Join our Stockholm team as an Engagement Manager and work alongside a team of highly motivated people from previous workplaces such as Google AI, Spotify, BCG, and McKinsey. Our Impact team is known for its adaptability, entrepreneurial spirit, and relentless pursuit of excellence, embodying our core belief that learning is the foundation of all meaningful change.In the Impact team, we work very closely with the companies who choose Sana. Together we problem solve, design solutions and implement them to drive change. Ultimately we measure ourselves through the impact we achieve through rolling out and adopting Sana. Our challenges are to continually learn and adapt to meet the unique needs of each company and team, and implement the creative solutions that make us proud of what we have achieved. While doing so we define what the future Sana's customer success, solution engineering and deployments teams will look like. By scaling this team, we create a significant impact on how people learn, across every industry, and across the globe.What will help you thriveAre naturally curious, always seeking to learn, and view every challenge as a growth opportunity.Possess grit and determination, allowing you to weather setbacks and persist towards your goals.Are driven by excellence, striving for greatness in everything you do. Embody humbleness, always ready to learn from others and unafraid to admit when you're wrong. Are deeply committed to our mission of changing the way the world learns, and have a genuine passion for global business development. Possess an entrepreneurial spirit, with the mindset of a founder and the readiness to build our customer success team. Are impact-driven, motivated to make a difference and continuously push the limits of what's possible. What We OfferHelp shape AI's future alongside brilliant minds from Notion, Dropbox, Slack, Databricks, Google, McKinsey, and BCG.Competitive salary complemented with a transparent and highly competitive options program.Swift professional growth in an evolving environment, supported by a culture of continuous feedback and mentorship from senior leaders.Work with talented teammates across 5+ countries, and collaborate with customers globallyRegular team gatherings and events (recently in Italy and South Africa)

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Building Open Superintelligence Infrastructure Prime Intellect is building the open superintelligence stack - from frontier agentic models to the infra that enables anyone to create, train, and deploy them. We aggregate and orchestrate global compute into a single control plane and pair it with the full rl post-training stack: environments, secure sandboxes, verifiable evals, and our async RL trainer. We enable researchers, startups and enterprises to run end-to-end reinforcement learning at frontier scale, adapting models to real tools, workflows, and deployment contexts.We recently raised $15mm in funding (total of $20mm raised) led by Founders Fund, with participation from Menlo Ventures and prominent angels including Andrej Karpathy (Eureka AI, Tesla, OpenAI), Tri Dao (Chief Scientific Officer of Together AI), Dylan Patel (SemiAnalysis), Clem Delangue (Huggingface), Emad Mostaque (Stability AI) and many others.Your RoleAs Head of Growth, you’ll lead everything that connects our technology to the market — spanning sales, marketing, partnerships, and customer success. You’ll define how Prime Intellect tells its story, close large-scale post-training and compute contracts, and build the systems that let us scale revenue efficiently. This is a high-leverage role combining strategy, execution, and team building — perfect for a hybrid commercial operator who thrives at the intersection of infrastructure and intelligence.ResponsibilitiesStrategy & VisionBuild and lead a cross-functional Growth organization spanning Sales, Marketing, Partnerships, and Customer Success.Define our go-to-market strategy for RL infrastructure pricing, packaging, and positioning.Own revenue forecasting, pipeline visibility, and operational cadence (CRM, dashboards, and forecasting systems).Design data-driven systems for deal tracking, reporting, and forecasting accuracy.Sales & PartnershipsLead enterprise sales cycles for post-training and multi-node cluster deals (64+ GPUs, 6+ month durations).Develop repeatable playbooks for design-partner conversions and enterprise onboarding.Build strategic partnerships with compute providers, AI companies, and research labs to expand our ecosystem.Identify and nurture high-value leads through targeted outbound and inbound growth strategies.MarketingDrive developer and enterprise awareness through campaigns, launches, community, and content.Translate technical features into clear market narratives and differentiated positioning.Partner with Product to align market feedback with roadmap and developer onboarding.Run quantitative experiments on activation, conversion, and usage metrics.Customer Success / Account ManagementBuild the CS motion across onboarding, usage analytics, renewals, and expansion workflows.Implement CRM-based renewal tracking and feedback loops into product and operations.Establish systems for continuous measurement of customer value and satisfaction.Growth OperationsDesign scalable processes for deal management, supplier bidding, contract ops, and revenue tracking.Partner with Operations and Finance on budgeting, hiring, and legal structures that support rapid scale.Implement sales technology stack and CRM architecture to enable data-driven decision making.What We’re Looking For5+ years leading growth, GTM, or revenue functions at a B2B or infrastructure startup.Fluent in both technical and commercial conversations — comfortable discussing GPUs, APIs, and pricing models.Proven ability to build scalable systems (CRM, forecasting, dashboards) and clean operational processes.Track record of closing enterprise-scale infrastructure or developer-tooling deals.Analytical, curious, and comfortable in high-ambiguity, fast-moving environments.Strong communication and leadership skills with experience building small, high-performing teams.Bonus:Experience pricing or selling infrastructure or developer tools.Familiarity with enterprise AI, cloud infrastructure, or post-training markets.Early-stage operator mindset — bias for building playbooks, not inheriting them.What We OfferCompetitive Compensation + equity incentivesFlexible Work (remote or San Francisco)Visa Sponsorship & relocation supportProfessional Development budgetTeam Off-sites & conference attendanceOpportunity to Shape Decentralized AI at Prime Intellect

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ABOUT BASETENBaseten powers inference for the world's most dynamic AI companies, like OpenEvidence, Clay, Mirage, Gamma, Sourcegraph, Writer, Abridge, Bland, and Zed. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. With our recent $150M Series D funding, backed by investors including BOND, IVP, Spark Capital, Greylock, and Conviction, we’re scaling our team to meet accelerating customer demand.THE ROLEAs a Site Reliability Engineer, you'll envision and build robust systems and processes that ensure our infrastructure is scalable, reliable, and efficient. This can range from automating deployments and monitoring systems to optimizing performance and managing incidents.We all work closely with our users, learning from their past struggles in operationalizing ML, onboarding them onto our platform, and turning our learnings into ideas for improving Baseten.EXAMPLE INITIATIVESYou'll get to work on these types of projects as part of our Infrastructure team: Multi-cloud capacity managementInference on B200 GPUsMulti-node inferenceFractional H100 GPUs for efficient model servingRESPONSIBILITIESBuild and maintain scalable infrastructure to support the deployment and operation of machine learning models.Establish standards and best practices for reliability and performance across the infrastructure.Automate processes when relevant, particularly for managing CI/CD pipelines.Own products and projects end-to-end, functioning as both an engineer and a project manager, with a focus on user empathy, project specification, and end-to-end execution.Collaborate with cross-functional teams to understand project requirements and translate them into technical solutions.Mentor junior team members and contribute to knowledge sharing within the organization.Navigate ambiguity and exercise good judgment on tradeoffs and tools needed to solve problems, avoiding unnecessary complexity.Demonstrate pride, ownership, and accountability for your work, expecting the same from your teammates.REQUIREMENTSBachelor's, Master's, or Ph.D. degree in Computer Science, Engineering, Mathematics, or related field.5+ years of professional work experience in a fast-paced, high-growth environment.Extensive experience with Kubernetes.Experience in building and maintaining scalable infrastructure.Experience with infrastructure-as-code tools (e.g., Terraform, CloudFormation, Pulumi) and CI/CD tooling (e.g., GitHub Actions, GitLab CI, Circle CI, Jenkins).Relevant OSS observability experience (Prometheus, ELK stack, Grafana stack, Opentelemetry) is a plus.Ability to own projects end-to-end, from project specification to execution.No prior machine learning experience required, but should be open to learning about it.BENEFITSCompetitive compensation package.This is a unique opportunity to be part of a rapidly growing startup in one of the most exciting engineering fields of our era.An inclusive and supportive work culture that fosters learning and growth.Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.

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We’re a fast-growing, seed-stage Cybersecurity startup backed by top investors — and we’re scaling quickly to keep up with demand. We’re looking for a Growth Campaigns Manager who’s ready to build, experiment, and drive measurable impact.This isn’t a “maintain what’s working” type of role. It’s for someone who wants to own demand generation, experiment with AI-driven marketing, and bring creative, data-backed campaigns to life across digital and live channels.What You’ll DoDesign and run integrated campaigns across email, digital, webinars, and live events that drive awareness and pipeline.Build programs including monthly webinars, advisor briefings, and customer roundtables - and find creative ways to make each one stand out.Experiment with AI - from automating workflows to personalizing outreach or content generation. We want someone who’s been curious, tried things, and learned fast.Collaborate cross-functionally with sales, product, and customer success to align messaging and accelerate conversions.Work directly with our advisory board and customers, strengthening relationships that turn into real advocacy and influence.Use tools like HubSpot and Salesforce to measure impact, optimize campaigns, and show what’s moving the needle.Bring ideas to the table — we value creativity and initiative over hierarchy. What You Bring2+ years of experience in B2B marketing, ideally in SaaS or cybersecurity.A strong grasp of demand generation and campaign orchestration.A natural attention to detail and ability to manage multiple priorities in a fast-moving environment.Experience with HubSpot, Salesforce, and digital campaign tools.You’ve experimented with AI in your workflow - whether for automation, analysis, or content - and have thoughts on what actually works.A metrics-driven mindset and an eagerness to own results.Above all: hunger and curiosity. You don’t need to have owned the entire function before - just the drive to build, learn, and make an impact. Why You’ll Love This RoleYou’ll build, not inherit, the campaigns engine for a company that’s growing fast.You’ll experiment with the newest tools and technologies, including AI, automation, and personalization platforms.You’ll work with a supportive, collaborative team that values initiative and new ideas.You’ll get ownership and visibility in a role where creativity, execution, and impact go hand in handCompetitive compensation, equity, and benefits — plus the opportunity to grow alongside a company redefining cybersecurity marketing. Ready to build something big? If this sounds like you, we’d love to hear from you. Drop us a note or apply directly — and tell us about an AI experiment or campaign you’ve run that you’re proud of.

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About Mistral At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life. We democratize AI through high-performance, optimized, open-source and cutting-edge models, products, and solutions. Our comprehensive AI platform is designed to meet enterprise needs, whether on-premises or in cloud environments. Our offerings include le Chat, the AI assistant for life and work. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between France, USA, UK, Germany, and Singapore. We are creative, low-ego, and team-spirited. Join us to be part of a pioneering company shaping the future of AI. Together, we can make a meaningful impact. See more about our culture on mistral.ai/careers. About The Job: Technical Lead, Applied AI Mistral AI is seeking a Technical Lead, Applied AI to drive the technical strategy, execution, and delivery of complex AI solutions for our enterprise customers. In this role, you will lead a project teams of Applied AI Engineers, ensuring the successful deployment of Mistral AI products and the development of high-impact, scalable AI use cases. You will act as the primary technical point of contact for our most strategic customers, guiding them through the entire lifecycle—from pre-sales to post-implementation—while collaborating closely with research, product, and engineering teams to shape the future of our offerings. As a Technical Lead, you will bridge the gap between cutting-edge AI research and real-world enterprise applications, ensuring our solutions are robust, scalable, and aligned with both customer needs and Mistral’s technological vision. What you will do - Deliver as an IC the critical lines of codes of our complex projects, you’ll be hands-on and de-risk the critical parts of our complex projects. You’ll stay deeply involved in coding, reviewing, and optimizing AI solutions.- Lead technical teams of Applied AI Engineers, providing mentorship, technical guidance, and best practices for deploying state-of-the-art GenAI applications across industries.- Lead technical discussions during pre-sales, translating customer requirements into actionable solutions and communicating Mistral’s technological advantages to diverse stakeholders.- Design and oversee the implementation of complex AI systems, including fine-tuning, RAG, agentic workflows, and custom LLM applications, ensuring alignment with Mistral’s product roadmap and open-source initiatives.- Drive innovation by identifying emerging trends in AI, evaluating new tools and methodologies, and championing best practices for fine-tuning, inference, and deployment.- Work closely with product managers, researchers, and engineers to ensure seamless integration of customer feedback into Mistral’s product development cycle. About you- You are fluent in English.- You hold a PhD or Master’s degree in AI, Machine Learning, Computer Science, or a related field.- You have 7/8+ years of experience in AI/ML, with at least 2+ years in a technical leadership role (e.g., Tech Lead, Engineering Manager, or Solutions Architect) focused on AI products or enterprise solutions.- You have a proven track record of leading teams to deliver complex AI projects, from prototyping to production, in industries such as tech, finance, healthcare, or industrial automation.- You possess deep expertise in fine-tuning LLMs, advanced RAG, agentic systems, and deploying NLP applications at scale.- You are proficient in Python, PyTorch, and modern AI frameworks (e.g., LangChain, Hugging Face). Experience with cloud platforms (AWS, GCP, Azure) and MLOps tools is a plus.- You have strong software engineering skills, including API design, backend/full-stack development, and system architecture.- You excel in technical communication, with the ability to articulate complex concepts to both technical and non-technical audiences, including executives and engineers.- You thrive in fast-paced, collaborative environments and are passionate about mentoring and growing technical talent. Ideally, you have:- Contributed to open-source projects, particularly in the LLM or AI space.- Experience in customer-facing roles (e.g., Solutions Architect, Customer Engineer, or Technical Product Manager) with a focus on enterprise AI adoption.- A track record of driving technical strategy and influencing product direction based on customer needs and market opportunities. Why join us? You’ll have the opportunity to shape the future of AI adoption in enterprises, work with a world-class team, and contribute to open-source projects that impact millions. If you’re excited about leading technical innovation and solving real-world challenges with AI, we’d love to hear from you!

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Figure is an AI Robotics company developing a general purpose humanoid. We are based in Sunnyvale, CA and require 5 days/week in-office collaboration. We are looking for solid, experienced C++ developers to help us build out the core software platform that will allow our robot to reach its full potential! Responsibilities:  Architect, design, implement and test C++ middleware that will run on our robot and provide system wide functionality to specialized controls and autonomy software. Develop Python tooling and interfaces. Help us ensure that our software ecosystem is stable, scalable and well tested in CI.   Requirements:  Bachelor or Master degree in Computer Science or related field. At least 5 years of experience writing production C++. Mastery of C++, Python and Linux. Understanding of how to create testable software systems. Good knowledge of computer architecture. Understanding of Linux userspace and kernel environments. Proficiency with networking protocols. Comfortable using debuggers and performance profiling tooling. Bonus Qualifications:  Experience working on systems with timing constraints. Experience working in resource constrained environments like microcontrollers. Knowledge of communication buses and protocols like Ethercat, Serial, CAN or USB.

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Join Our Mission to Revolutionize Healthcare Thoughtful is pioneering a new approach to automation for all healthcare providers! Our AI-powered Revenue Cycle Automation platform enables the healthcare industry to automate and improve its core business operations. We're looking for an Exceptional Director of Engineering for our Integrations team. Opportunity As the Director of Engineering, Integrations at Thoughtful AI/Smarter Technologies, you will play a pivotal role in uniting the engineering efforts of Thoughtful AI and AccessHealthcare following SmarterTechnologies’ recent acquisitions. This role sits at the center of a transformative moment - bringing together advanced AI automation and large-scale healthcare operations to redefine what’s possible in healthcare technology. You will serve as the primary interface between Thoughtful’s U.S.-based engineering teams and AccessHealthcare’s organization in Chennai, India, leading the integration of systems, teams, and technology into a cohesive, scalable platform. Your mission: to build the connective framework, technical, cultural, and organizational, that enables the two entities to operate as one high-performing engineering organization. This is an ideal role for a seasoned engineering executive who thrives in complex, high-stakes environments - someone who has successfully led post-merger integrations, built strong cross-border teams, and delivered meaningful technology transformation in enterprise settings. Learn more about our Warrior culture. Key Responsibilities Lead and scale an Integration Engineering organization (~13 Senior and Staff-level engineers) to deliver high-quality technical and organizational integration across Thoughtful AI and AccessHealthcare. Serve as the technical and organizational bridge between U.S. and India-based teams, spending approximately 25% of your time in Chennai to ensure alignment and momentum. Define and execute the integration roadmap, unifying systems, data flows, and automation platforms across both companies under the SmarterTechnologies umbrella. Collaborate with Product, Engineering, and Operations leadership across Thoughtful and AccessHealthcare to design and deliver joint product offerings that combine AI-driven automation with large-scale healthcare operations. Drive operational excellence across engineering practices, including reliability, compliance, and velocity. Foster a culture of accountability, collaboration, and long-term retention across distributed teams. Champion transparency and communication across time zones and functions, ensuring continuous alignment among leadership and technical stakeholders. What Success Looks Like Seamless integration of Thoughtful’s automation technology into AccessHealthcare’s production environment. Launch of joint solutions that enhance healthcare efficiency and scale. Cross-entity collaboration that feels frictionless and purpose-driven. Sustained team engagement and high retention through periods of change. Minimum Qualifications 10+ years of experience in software or infrastructure engineering, with 4+ years in senior engineering leadership roles. Proven success leading post-merger or post-acquisition integrations - both technical (system unification, platform alignment) and organizational (team restructuring, culture bridging). Demonstrated ability to manage 10+ direct reports at Senior or Staff level over extended periods. Strong product-oriented mindset, capable of balancing integration execution with business outcomes. Hands-on familiarity with .NET and legacy technology stacks, with demonstrated experience modernizing or integrating them within cloud or AI platforms. Experience leading distributed, global engineering teams, particularly across US/India collaborations. Excellent communication skills - able to simplify complex technical topics for executive and cross-functional audiences. Willingness and ability to travel frequently (≈50%) to Chennai, India. Preferred Qualifications Experience integrating or operating in healthcare technology or Revenue Cycle Management (RCM) domains. Background in regulated or compliance-heavy environments (e.g., SOC 2, HIPAA). Demonstrated success building long-term, high-performing teams through major organizational transitions. Proven ability to design and launch joint product offerings across multiple business entities. Cultural Attributes Thrives in fast-moving, high-growth, post-merger environments. Deeply motivated by the mission to improve healthcare through technology. Understands that impact requires flexibility beyond a 9-to-5 mindset. Builds rapport quickly across teams, functions, and cultures. Leads with clarity, empathy, and conviction. Why Thoughtful? Competitive compensation Equity participation: Employee Stock Options. Health benefits: Comprehensive medical, dental, and vision insurance. Time off: Generous leave policies and paid company holidays.  California Salary Range $240,000—$300,000 USD

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About MaincodeMaincode is an AI research lab building systems that move humans forward. We are training foundation models from scratch, designing new reasoning architectures, and deploying them on state-of-the-art GPU clusters. Recently, we’ve built Matilda, Australia’s first LLM. This is not fine-tuning someone else’s work. We’re building new systems from first principles.Our core research focuses on the development of foundation models and novel architectures that underpin reasoning, alignment and generalisation. Our residency program provides a space for researchers to explore complementary and experimental areas of AI, such as:Non-standard language model architectures and techniquesMulti-modal systems, e.g. vision-language modelsAdvanced multi-agent system dynamicsReinforcement learning for reasoning or planningOptimisation of inference or distributed training stackAlignment and interpretability techniquesIf you are driven by curiosity, motivated by scientific depth, and excited by the idea of contributing to a lab building models from first principles, you’ll find Maincode an ideal environment to explore ambitious research. The Role: AI Research ResidentThe Maincode Research Residency is a paid 3 to 6 month program designed for advanced AI researchers in Australia. As a resident, you will collaborate with researchers (on-site, hybrid or remote with on-site visits) within our core team to investigate your proposed research project.Maincode provides the infrastructure and computational resources for you to explore your research ideas at scale. You will work closely with our researchers throughout the process, from refining your proposal and designing experiments, to interpreting results and communicating findings.The residency provides the opportunity to pursue exploratory, high-impact research that is adjacent to Maincode’s core mission. We encourage projects that push the boundaries of fundamental or applied AI and define the trajectory of future AI systems.This call is the second round of the AI Research Residency program at Maincode. The successes of the initial round include a hire to the core team as well as publications in the following areas:Vision-language reasoning: examining how multi-modal models balance logical inference and perceptual grounding (https://arxiv.org/abs/2509.25848)Video anomaly detection: developing structured prompting frameworks for fine-grained, interpretable reasoning in VLMs (https://arxiv.org/abs/2510.02155)Time series forecasting: using mode-adaptive graph networks for spatio-temporal prediction (https://arxiv.org/abs/2509.00703) What You’ll DoPropose, refine, and lead a research project that complements Maincode’s mission of building foundational AI systems from first principlesDesign and run experiments at scale, leveraging our compute infrastructure and state-of-the-art training pipelinesCollaborate closely with Maincode researchers to share knowledge, exchange feedback, and develop new approaches to open problems in AIAnalyse results rigorously, ensuring that findings are interpretable, reproducible, and impactfulShare insights through internal discussions, research publications or presentations at AI conferences Who You AreA PhD candidate, postdoctoral researcher or faculty member with deep expertise in machine learning, artificial intelligence, or related fieldsYou have a strong track record of publications or ongoing research projects in areas such as deep learning, optimisation, reinforcement learning, probabilistic modelling, or systems-level AI researchCurious, independent, and self-directed, yet eager to collaborate and learn from othersComfortable working with large-scale experiments, distributed training environments, or novel algorithmic ideasExcited by ambitious, high-risk/high-reward research that challenges current paradigms The ProcessThis application includes a project proposal outlining your area of interest for the residency. Our research team will review your application and proposal, then schedule a follow-up conversation to discuss your ideas and share more about the program.

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Warp: We're Building the Platform for Agentic Development Warp began with the vision of reimagining one of the fundamental dev tools—the terminal—to make it more usable and powerful for all developers. As AI has advanced, Warp has evolved beyond its terminal roots into the platform for Agentic Development: a workbench for dispatching agents to code, deploy, and debug production software. With over 700k active developers and revenue that has grown over 20x this year so far, Warp is now one of the fastest growing startups in the exploding AI development space. We believe that soon developers will be “tech leads” for groups of agents; rather than opening a code editor to write code or a terminal to write commands, they will open Warp and prompt their computer to build features, fix bugs, and diagnose production issues. With its starting point as a reimagined command line, Warp is well-positioned to support agent-first workflows: It sits at the lowest level in the dev stack, has access to all of a developer’s context, and is set up for multitasking and long-running processes. In addition, Warp has state-of-the-art code editing features and built-in team knowledge sharing. It’s the right interface for the agentic future. Our mission has remained the same even as AI has advanced: to empower developers to ship better software more quickly, freeing them to focus on the creative and rewarding aspects of their work. For more information on our team and culture, we highly recommend reading our How We Work.Design is core to Warp’s product. The early success of the product was largely due to bringing modern design and user experience to a useful but dated tool: the terminal. Now, we are applying that same process and design-forward thinking to building professional software with agents. We’re looking for a product designer with a passion for complex tools and an excitement for shaping the future of software engineering. As a Product Designer, you will… Design and prototype product experiences for Warp using Figma in close collaboration with Warp’s engineering, product, and growth teams. Iterate on existing features to improve ergonomics, cognitive load, workflow friction, design pattern consistency, and comprehension. Craft every detail of new product features, from idea to UX to pixel-perfect execution. Contribute to and help manage Warp’s design system and ensure implementation meets specification. Use Warp to ship UI nits, bugs, and modifications to production. Test designs with our internal team and developer community. You may be a good fit if... You have 5+ years of experience working on AI, ML, DevTools, Data, or other technical products. You enjoy iterating and perfecting detailed workflows. You have a lived understanding of developers’ needs and want to improve their relationships with their tools. You're committed to building and facilitating relationships with non-designers to execute on your shared vision of building the best product for our users You have great communication skills, and have experience working with engineers on a technical product. You have experience contributing to or managing design systems. Bonus: Familiar with the developer experience Some basic experience with coding or using a terminal Experience at a fast paced startup environment Experience designing for AI tools Individuals seeking employment at Warp are considered without regards to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, or sexual orientation. Salary Transparency Total compensation at Warp consists of two parts: 1) a competitive base salary, and most importantly, 2) meaningful equity. When we find the right person, we try to put our best foot forward with an offer that excites you. We consider what you’d like to be paid, the skills and experience you bring, what similar jobs pay, and make sure there’s equal pay for equal work among those you’ll be working with. The budgeted compensation amount for this role is targeted at $190,000 - $215,000.About Warp We are a company run by product-first builders, building a core product for all developers. We are committed to understanding our users deeply. We will ultimately build the best product and business if that team includes developers and designers from a wide range of backgrounds. The early team comes from Google, Dropbox, Gem, LinkedIn, and Facebook. We are looking for passionate individuals to join us and help bring Warp to the world. We value honesty, humility, and pragmatism, and our core product principle is focusing on the user. If you’re interested in learning more about our company values and the culture of our engineering team, please take a look at our internal 'How We Work' guide. We’re very fortunate to be backed by a great group of venture capital firms. In August 2023, we announced a $50M Series B funding round ($73M total raised), led by Sequoia Capital. Our other investors include Google Ventures, Neo, and Box Group. We are also backed by a network of passionate angels, including Dylan Field (Co-Founder and CEO, Figma), Elad Gil (early investor in Airbnb, Pinterest, Stripe, and Square), Jeff Weiner (Executive Chairman and Ex-CEO, LinkedIn), Marc Benioff (Founder and CEO, Salesforce), and Sam Altman (Co-Founder & CEO, OpenAI). The Product Here's our latest demo showing some of our current features…

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About Sana We're on a mission to revolutionize how humans access knowledge through artificial intelligence. Throughout history, breakthroughs in knowledge sharing—from the Library of Alexandria to the printing press to Google—have been pivotal drivers of human progress. Today, as the volume of human knowledge grows exponentially, making it accessible and actionable remains one of humanity's most critical challenges. We're building a future where knowledge isn't just more accessible—it's a catalyst for achieving the previously impossible. If all of this sounds exciting, you’re in the right place.About the role As a Design Engineer, you’ll bridge the gap between design vision and technical implementation. You will combine engineering expertise with design sensibility to create polished, engaging user experiences. This unique role works closely with our Product Design team, translating detailed design specifications into pixel-perfect implementations while maintaining technical excellence.In this role, you willDesign and maintain scalable, resilient systems that power our knowledge-sharing platforms. Develop core backend features and services across our product suite. Implement robust deployment systems and monitor performance. Collaborate with teams to deliver impactful features. Your background looks something likeProficiency in Node.js (TypeScript) and/or JVM (Kotlin)—our two products have different backends. Strong experience building and scaling backend systems. Solid understanding of PostgreSQL and cloud platforms (particularly GCP). Experience with HTTP APIs, authentication protocols, and web services. Track record of building production-grade systems. What We OfferHelp shape AI's future alongside brilliant minds from Notion, Dropbox, Slack, Databricks, Google, McKinsey, and BCG.Competitive salary complemented with a transparent and highly competitive options program.Swift professional growth in an evolving environment, supported by a culture of continuous feedback and mentorship from senior leaders.Work with talented teammates across 5+ countries, and collaborate with customers globallyRegular team gatherings and events (recently in Italy and South Africa)

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About Glean:   Founded in 2019, Glean is an innovative AI-powered knowledge management platform designed to help organizations quickly find, organize, and share information across their teams. By integrating seamlessly with tools like Google Drive, Slack, and Microsoft Teams, Glean ensures employees can access the right knowledge at the right time, boosting productivity and collaboration. The company’s cutting-edge AI technology simplifies knowledge discovery, making it faster and more efficient for teams to leverage their collective intelligence.   Glean was born from Founder & CEO Arvind Jain’s deep understanding of the challenges employees face in finding and understanding information at work. Seeing firsthand how fragmented knowledge and sprawling SaaS tools made it difficult to stay productive, he set out to build a better way - an AI-powered enterprise search platform that helps people quickly and intuitively access the information they need. Since then, Glean has evolved into the leading Work AI platform, combining enterprise-grade search, an AI assistant, and powerful application- and agent-building capabilities to fundamentally redefine how employees work.You will: Source and close net new logos within a given territory Have the ability to navigate complex organizational structures and identify executive sponsors and champions Research and understand the business objectives of your customers and have the ability to perform a value drive sales cycle Collaborate with internal partners to move deals forward and ensure customer success  You will consistently deliver ARR revenue targets and drive success through a metric based approach Develop and execute sales strategies and tactics to generate pipeline, drive sales opportunities and deliver repeatable and predictable bookings Provide timely and insightful input back to other corporate functions Create ROI and business justification reports based off of a data driven approach Run tight POCs based off of business success criteria About you: 6+ years of closing experience in Sales with a track record of being a top performer Ability to learn, pitch and demonstrate a highly technical product and have the ability to adapt in a fast growing and changing environment  Have clear examples of closing complex deals and selling into complex organizations Effectively use a repeatable method for uncovering greenfield opportunities and building out a new territory  Previous experience building relationships and selling face to face to C level executives Knowledge of best of breed softwares and a technical understanding of integrations, APIs, infrastructure management, security and analytics Experience selling technical SaaS and cloud based software solutions Basic understanding of search infrastructure is a plus You have previous experience working with multiple teammates including SEs, BDRs, PMs, Executives & Engineers Experience with target account selling, solution selling, and using MEDDIC and Challenger (or similar) methodologies is a plus. Location This role is remote, but must be based in New York City, NY. Compensation and Benefits The standard base salary range for this position is $250,000 - $300,000 annually. Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits. We offer a comprehensive benefits package including competitive compensation, Medical, Vision, and Dental coverage, generous time-off policy, and the opportunity to contribute to your 401k plan to support your long-term goals. When you join, you'll receive a home office improvement stipend, as well as an annual education and wellness stipends to support your growth and wellbeing. We foster a vibrant company culture through regular events, and provide healthy lunches daily to keep you fueled and focused. We are a diverse bunch of people and we want to continue to attract and retain a diverse range of people into our organization. We're committed to an inclusive and diverse company. We do not discriminate based on gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race. #LI-REMOTE

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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 TEAM  We build robots that find other robots and knock them out of the sky. At a time when air superiority can no longer be taken for granted, the Air Defense (AD) Team provides mission critical capabilities to warfighters. From detection to tracking, identification, deterrence, and defeat, our family of networked sensors and effectors enables our customers to rapidly close the kill chain against a broad range of Unmanned Aerial System (UAS) threats. Working across product, engineering, sales, logistics, operations, and mission success, the Air Defense team develops, tests, deploys, and sustains the Anduril Air Defense Family of Systems (FoS) in challenging operational environments worldwide. ABOUT THE ROLE We are looking for a well-rounded Senior Analytics Engineer to support our Air Defense team. In this role, you will design and maintain data systems to ingest and transform structured, semistructured, and unstructured data, creating robust and efficient data models that deliver actionable insights. You will collaborate with stakeholders to gather requirements and implement secure, reliable analytics solutions, focusing on supporting a variety of data applications.  You will work with engineering and field operations teams to better understand how our family of systems and capabilities performs in production (both in and out of classified environments). Additionally, you will support operational teams by building out data products to support operational workflows. Ensuring data quality and performing root cause analysis on complex systems will be key, as will deploying mission-critical analytics solutions with occasional travel to build, test, and deploy capabilities in real-world scenarios. WHAT YOU'LL DO Help lead the development and maintenance of data systems architecture that enable high quality, low latency data ingestion across many different source systems and transformation for downstream data products and operational workflows. Collaborate with stakeholders to collect requirements and write code for secure, timely, accurate, trusted, and extensible data models. Become a trusted partner to AD’s leadership by creating reusable entities that generalize how our division operates and building both deployment- and business-related workflows, dashboards, and metrics that drive better and faster decision-making. Develop and deliver analytics solutions for evolving problems in network-isolated and classified environments. Help empower users to leverage the aforementioned data architecture to self-serve through enablement & knowledge-transfer, as well as improving the developer/end-user experience. REQUIRED QUALIFICATIONS 6+ years of experience in an analytics-focused or data-oriented role (e.g., data engineer, analytics engineer, data scientist, backend software engineer). Exceptional general problem-solving and critical-thinking skills, bringing to bear technical solutions to ambiguous and dynamic data problems. Proficiency designing scalable and adaptable logical and physical data models that facilitate both future product evolution and analytical requirements Strong skills in performing data-driven root cause analysis on complex systems. Excellent written and verbal communication skills, especially when communicating with a technical audience; an affection for documentation. Ability to drive consensus across internal and external stakeholders, with demonstrated experience leading through influence. Comfortable navigating a polyglot ecosystem and a proven ability to quickly understand established code bases and operate at different levels of abstraction. Procedural fluency in writing, debugging, profiling, testing, and maintaining performant Python and SQL code. Experience writing another language (e.g., JavaScript/TypeScript, Go, Java, Scala, Haskell, OCaml, Julia, etc.). Proficiency in building end-to-end, scalable data solutions (including the steps for beyond implementation such as enablement, support, integrations, etc.) in a cloud setting. Experience writing pipelines with common orchestration tooling (e.g., Flyte, Airflow, Dagster, etc.). Experience with DevOps and software deployment: containerization & container orchestration (e.g., Docker, Kubernetes, Helm, etc.), GitOps & CI/CD tooling (e.g., CircleCI, ArgoCD, etc.), observability/monitoring (e.g., DataDog, Grafana, etc.) Experience with infrastructure-as-code (e.g., Terraform), core- and data-related cloud services (e.g., AWS, Azure). Experience writing and working with microservices architectures (e.g., gRPC + protocol buffers). Current US Person status (U.S. citizen or permanent resident) with the ability to obtain and maintain a U.S. Department of Defense (DOD) Secret Clearance or higher. PREFERRED QUALIFICATIONS Ability to comprehend and appropriately modify software written in a systems or lower-level language such as C/C++, Zig, Rust, etc. Experience with setting up and managing infrastructure to support analytical workloads on-premises or in resource-constrained environments. Experience delivering and maintaining systems that securely egress data from air-gapped and security-hardened networks. Experience working with data formats (e.g. MCAP, HDF5, etc.) relatively common to robotics. Experience with dbt, Palantir Foundry, Trino/Presto, Apache Spark, Apache Kafka, Apache Flink, and/or in-memory databases (e.g., DuckDB, Polars). Experience with the Nix (dependency management & system configuration) ecosystem. Strong Linux fundamentals. Exposure to the the technical, programmatic, and operational challenges of developing and deploying autonomous weapon systems across command echelons. Deep intellectual interest in the intersection of analytics and the physical hardware world, motivated by Anduril’s mission. Prior defense, aerospace, or intelligence domain experience. US Salary Range$146,000—$194,000 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:  Healthcare Benefits  US Roles: Comprehensive medical, dental, and vision plans at little to no cost to you.  UK & AUS Roles: We cover full cost of medical insurance premiums for you and your dependents.  IE Roles: We offer an annual contribution toward your private health insurance for you and your dependents.  Additional Benefits  Income Protection: Anduril covers life and disability insurance for all employees.  Generous time off: Highly competitive PTO plans with a holiday hiatus in December. Caregiver & Wellness Leave is available to care for family members, bond with a new baby, or address your own medical needs.  Family Planning & Parenting Support: Coverage for fertility treatments (e.g., IVF, preservation), adoption, and gestational carriers, along with resources to support you and your partner from planning to parenting.  Mental Health Resources: Access free mental health resources 24/7, including therapy and life coaching. Additional work-life services, such as legal and financial support, are also available.  Professional Development: Annual reimbursement for professional development  Commuter Benefits: Company-funded commuter benefits based on your region.  Relocation Assistance: Available depending on role eligibility.  Retirement Savings Plan  US Roles: Traditional 401(k), Roth, and after-tax (mega backdoor Roth) options.  UK & IE Roles: Pension plan with employer match.  AUS Roles: Superannuation plan.  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.  To view Anduril's candidate data privacy policy, please visit https://anduril.com/applicant-privacy-notice/. 

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YOUR MISSION: As a Forward Deployed Engineer, DevOps, your mission is to build and scale the dedicated infrastructure that powers our custom agent integrations for our most important customers. You will be the key technical cornerstone of our team, empowering our customer-facing Forward Deployed Engineers to build, deploy, and manage bespoke client solutions with speed and confidence. By creating a robust, automated, and self-service platform, you will directly enable the rapid delivery of high-quality, reliable custom services.    IN THIS ROLE YOU WILL: Design, build, and maintain the cloud infrastructure specifically for hosting custom services developed by the Agent Integration Engineering team. Create flexible and reusable CI/CD pipeline templates that the integration team can easily adopt to automate the deployment of their services. Champion Infrastructure as Code to create standardized, yet customizable, service environments, ensuring consistency and rapid provisioning for new integrations. Manage a Kubernetes-based environment tailored for hosting a multitude of diverse integration services, focusing on security, isolation, and resource management. Implement robust monitoring and observability solutions to provide the integration team with deep visibility into the performance and health of their specific services. Serve as the primary DevOps partner for the Forward Deployed Engineering team, understanding their workflow, anticipating their needs, and removing infrastructure-related obstacles. Develop automation scripts (Python, Go, Bash) to streamline the entire lifecycle of custom integration services, from creation to decommissioning. Support and modernize legacy Azure infrastructure, helping transition workloads to a standardized, Kubernetes-based platform aligned with Parloa’s Engineering practices.   WHAT YOU BRING TO THE TABLE: 5+ years of professional experience in DevOps, infrastructure engineering, or a similar role. A strong customer-first mindset, viewing the Forward Deployed Engineering team as your primary customer. Proficiency in at least one scripting or programming language like Python, Go, or Bash. Hands-on expertise with a major cloud provider (AWS, GCP, or Azure). Advanced knowledge of containerization and orchestration, specifically Kubernetes, Helm, and Docker. Proven experience creating flexible CI pipelines with tools like Jenkins, GitHub Actions, or GitLab CI, and CD/GitOps workflows with tools like Argo CD. A strong background in Infrastructure as Code (Terraform is highly preferred). Experience building self-service tools and platforms that empower specific development teams.   WHATS IN IT FOR YOU: Join a diverse team of 40+ nationalities with flat hierarchies and a collaborative company culture, and enjoy an immersive onboarding experience in Berlin to dive into our product and culture. Opportunity to build and scale your career at the intersection of customer-facing roles and engineering in a dynamic startup on its journey to become an international leader in SaaS platforms for Conversational AI. A beautiful office with flair in the heart of NYC with all the conveniences, such as social area, snacks, and drinks. Competitive compensation and equity package. Flexible working hours, unlimited PTO, and travel opportunities. Access to a training and development budget for continuous professional growth. ClassPass membership, Nilo Health, Health insurance, weekly sponsored office lunches. Regular team events, game nights, and other social activities. Hybrid work environment - we believe in hiring the best talent, no matter where they are based. However, we love to build real connections and want to welcome everyone in the office on certain days Your recruiting process at Parloa: Recruiter video call → Meet your manager → Challenge Task → Bar Raiser Interview Salary Range includes OTESalary Range$225,000—$335,000 USD  Why Parloa?  Parloa is one of the fastest growing startups in the world of Generative AI and customer service. Parloa’s voice-first GenAI platform for contact centers is built on the best AI technology to automate customer service with natural-sounding conversations for outstanding experiences on all communication channels. Leveraging natural language processing (NLP) and machine learning, Parloa creates intelligent phone and chat solutions for businesses that turn contact centers into value centers by boosting customer service efficiency. The Parloa platform resolves the majority of customer queries quickly and automatically, allowing human agents to focus on complex issues and relationships. Parloa was founded in 2018 by Malte Kosub and Stefan Ostwald and today employs over 400+ people in Berlin, Munich, and New York. When you join Parloa, you become part of a dynamic and innovative team made up of over 34 nationalities that’s revolutionizing an entire industry. We’re passionate about growing together and creating opportunities for personal and professional development. With our recent $120 million Series C investment, we’re expanding globally and looking for talented individuals to join us on this exciting journey. Do you have questions about Parloa, the role, or our team before you apply? Please feel free to get in touch with our Hiring Team. Parloa is committed to upholding the highest data protection standards for our clients' and employees' data. All our employees are instrumental in ensuring the utmost care, GDPR, and ISO compliance, including ISO 27001, in handling sensitive information. * We provide equal opportunities to all qualified applicants regardless race, gender, sexual orientation, age, religion, national origin, disability status, socioeconomic background and other characteristics.

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Why HarveyAt Harvey, we’re transforming how legal and professional services operate — not incrementally, but end-to-end. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come.This is a rare chance to help build a generational company at a true inflection point. With 700+ customers in 58+ countries, strong product-market fit, and world-class investor support, we’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched.Our team is sharp, motivated, and deeply committed to the mission. We move fast, operate with intensity, and take real ownership of the problems we tackle — from early thinking to long-term outcomes. We stay close to our customers — from leadership to engineers — and work together to solve real problems with urgency and care. If you thrive in ambiguity, push for excellence, and want to help shape the future of work alongside others who raise the bar, we invite you to build with us.At Harvey, the future of professional services is being written today — and we’re just getting started.Role OverviewWe are looking for a Staff Data Scientist who can set the foundation for data science at Harvey. We’ve achieved incredible product-market fit and are scaling rapidly across diverse customer profiles. You’ll bring a combination of analytical rigor, statistical expertise, and modeling skills to help us understand our users, evaluate product performance, and uncover growth opportunities. As one of the earliest members of the data science team, you’ll influence the data culture, shape our experimentation framework, and guide key product and business decisions.What You'll DoConduct in-depth analyses to uncover product, customer, and market insights that inform strategy and drive measurable business impact.Design, implement, and evaluate experiments - including A/B tests and advanced causal inference methods - to guide product decisions and optimize outcomes.Define, track, and evolve core metrics across product and business functions, building scalable dashboards and reporting frameworks that enable data-driven decision-making.Apply statistical and machine learning techniques to model user behavior, forecast trends, and identify opportunities for growth and optimization.Translate complex analyses into compelling stories, delivering clear recommendations to product managers, engineers, executives, and cross-functional partners.Partner with Engineering to co-develop data infrastructure, ensuring robust pipelines, reliable data sources, and scalable systems that power analytics and modeling.Lead cross-functional analytics initiatives that synthesize competitive dynamics, customer feedback, and market trends into actionable opportunities for the business.Champion a data-informed culture by establishing best practices, mentoring peers, and shaping the strategic role of data science at Harvey. What You Have5+ years of experience in quantitative roles operating in highly ambiguous environments, ideally as an early data scientist or product analyst within a hyper-growth product company or research organizationProven track record of designing, executing, and analyzing rigorous experiments using SQL and Python, with the ability to translate results into actionable product recommendations Experience defining, implementing, and operationalizing feature- and product-level metrics from the ground upStrong communication skills, with the ability to effectively partner with product managers, engineers, and executivesStrategic mindset capable of generating insights that extend beyond traditional statistical significance testing to inform long-term product and business directionBonusEarly employee at a hyper-growth startupExperience with or knowledge of AI and LLMsExperience at world-class enterprise orgs (ex: Brex, Ramp, Stripe, Palantir)Compensation Range$180,000 - $225,000 USDPlease find our CA applicant privacy notice here.#LI-CL1Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

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Scale AI is at the forefront of the AI revolution, helping the U.S. government and allied partners unlock the potential of AI across national security missions. We’re building enterprise-grade generative AI solutions and delivering them into operational use cases that matter. We’re hiring an engagement manager (EM) to lead and coordinate delivery of agentic workflows in the cyber domain for a national security customer. As an EM on our public sector delivery team, you own the account plan, manage day-to-day execution for customers, and ensure an incredible customer experience. This role is ideal for someone who blends program leadership, technical fluency, and contract awareness — and who thrives in fast-moving, ambiguous, and mission-driven environments.   You will: Manage customer relationships from the executive to the end user Be onsite with national security customers to scope agentic workflow use cases that Scale’s engineering team will build and refine Lead a cross-functional project team to deliver on and exceed the customer's AI/ML objectives Lead with a “whatever-it-takes” mentality, proactively identifying customer needs and operator pain points to ensure customer success Oversee onboarding and successful implementation of customer accounts   Must haves: An active Top Secret security clearance (required)  5+ years of experience in program management or customer facing role Willingness to be onsite with the customer in the Washington DC area 4 days per week and able to travel at least 25% of the time (as needed) High cross-functional influence and EQ Excellent communication and presentation skills with external stakeholders A history of diligence and organization across multiple work streams Passion for solving complex challenges and building efficient AI systems by leveraging agents A basic understanding of ML operations and an aptitude to develop mastery on generative AI workflows / products   Ideally, you’d have: Technical degree in computer science, engineering, or related fieldExperience in the cybersecurity sector, within or in collaboration with a government institutions Experience operating in a fast-paced startup environment or defense tech company Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.The base salary range for this full-time position in the location of Washington DC is:$187,000—$234,300 USDPLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.  We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision.  PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

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About MaincodeMaincode is an AI research and engineering company and home to Matilda, Australia’s first and only large language model trained from scratch. We operate our own advanced AI infrastructure in local data-centres; designing, building, and running everything from the racks up through model training and serving systems.We’re building an AI Model Factory, a new kind of compute infrastructure that powers frontier AI research and production systems that work at scale. About the RoleDespite the title, this role isn’t really about robotics. We’re looking for something that doesn’t quite exist in the market: an AI Model Factory Architect.This role sits at the intersection of physical systems, large-scale compute, and AI research. You’ll help design and operate the infrastructure that trains large-scale models: racks of GPUs, high-performance networks, and the orchestration systems that keep them running.People with strong research instincts and systems thinking thrive here. You don’t need prior experience in the datacentre; curiosity, first-principles reasoning, and the ability to learn fast matter more. Someone from robotics, aerospace, or similar fields who has strong computational skills could excel in this role. We’ll give you the time, mentorship, and resources to master how these systems work, and you’ll develop expertise in one of the most essential technical domains of the coming decade. What You’ll DoLearn to design, deploy, and operate the backbone of AI infrastructure.Work with GPU clusters, high-speed networking, and large-scale Linux systems.Contribute to the architecture of Australia’s first production-scale AI datacentre systems.Collaborate with AI researchers and engineers to shape the next generation of model training environments.Develop new operational and architectural approaches from first principles. You Might Be a Fit IfYou have a background in a technical or scientific field (robotics, mechatronics, aerospace, physics, or similar) and strong computational skills (e.g., modelling, numerical simulation, automation, MPI or HPC environments, GPU and accelerator programming, systems programming, or Linux).You enjoy understanding complex systems from first principles.You learn new technologies fast and apply them independently.You think in terms of system architecture, how components interact and scale.You’re curious about how AI actually runs, from circuits and cooling to training loops.