AI Marketing & Sales Jobs

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About Mistral  At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life. We democratize AI through high-performance, optimized, open-source and cutting-edge models, products and solutions. Our comprehensive AI platform is designed to meet enterprise needs, whether on-premises or in cloud environments. Our offerings include le Chat, the AI assistant for life and work. We are a dynamic, collaborative team passionate about AI and its potential to transform society.Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between France, USA, UK, Germany and Singapore. We are creative, low-ego and team-spirited. Join us to be part of a pioneering company shaping the future of AI. Together, we can make a meaningful impact. See more about our culture on https://mistral.ai/careers. Role Summary : AI Deployment Strategist As an AI Deployment Strategist, you will drive the adoption and deployment of Mistral’s AI solutions, working closely with customers from strategic vision to production implementation. This role sits at the intersection of business strategy, AI innovation, and hands-on deployment, ensuring our customers achieve transformative outcomes. You will partner with senior executives to design AI roadmaps, collaborate with the Applied AI team to deliver solutions in production, and ensure seamless transitions from presales to postsales. Your work will directly contribute to customer success, bridging the gap between strategy and execution. This role is ideal for those who thrive in a fast-paced environment, enjoy solving complex business challenges, and are passionate about turning AI potential into real-world impact. What you will do Strategic Discovery & Vision Setting• Lead executive-level workshops to identify business challenges and opportunities where Mistral’s AI can drive step-change improvements.• Co-create AI adoption roadmaps with customers, articulating the “art of the possible” and a clear path to value.• Collaborate with Account Executives to develop business cases, quantify ROI, and align solutions with customer objectives. AI Solution Design & Deployment• Architect end-to-end AI solutions, integrating Mistral’s models and platform into customer workflows and technical infrastructure.• Partner with the Applied AI team to design, prototype, and deploy AI solutions in production, ensuring scalability and impact.• Own the execution of pilot projects and proofs-of-value, demonstrating the potential of our technology and paving the way for full-scale deployment. Value Realization & Customer Success• Serve as a trusted advisor to customers, guiding their AI strategy and ensuring they maximize the value of their investment in Mistral.• Monitor key performance indicators (KPIs) tied to business outcomes, and communicate progress to executive sponsors.• Proactively identify expansion opportunities within accounts, building on initial successes to drive long-term partnerships. Cross-Functional Collaboration• Act as the bridge between customers and Mistral’s internal teams, synthesizing feedback to influence product and research roadmaps.• Develop reusable assets, best practices, and playbooks to scale go-to-market efforts and ensure consistent delivery excellence.• Travel (~30-60%) to foster deep client relationships and support on-site deployment. About you • 2+ years in a client-facing strategic role (e.g., management consulting, value engineering, or technical sales).• You hold a degree in a relevant scientific field (e.g., Computer Science, Data Science, Engineering, etc.)• Strong business acumen and problem-solving skills, with the ability to structure ambiguous challenges into actionable solutions.• Executive presence and communication skills to influence senior stakeholders (VP, C-level).• Foundational knowledge of AI/ML/Data Science, with the credibility to advise both technical and non-technical audiences.• Hands-on experience prototyping proofs-of-concept (Python, JavaScript, or similar) to demonstrate value.• Resilient, results-driven, and comfortable leading through influence in a collaborative environment.• Experience with sales qualification frameworks (e.g., MEDDPICC) and value-based selling is a plus. Why This Role Matters You will play a pivotal role in shaping how enterprises adopt and deploy AI, ensuring Mistral’s solutions deliver measurable impact. By partnering with the Applied AI team, you’ll help turn strategic visions into production-ready solutions, making Mistral an indispensable partner for our customers. What we offer 💰 Competitive cash salary and equity🚑 Healthcare: Medical/Dental/Vision covered👴🏻 401K: 6% matching🚴 Transportation: Reimburse office parking charges, or $120/month for public transport💡 Coaching: we offer BetterUp coaching on a voluntary basis🥎 Sport: $120/month reimbursement for gym membership🥕 Meal voucher: $400 monthly allowance for meals

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Our vision at Descript is to build the next-generation platform for fast and easy creation of audio and video content. We are trusted by some of the world's top podcasters and influencers, as well as businesses like BBC, ESPN, HubSpot, Shopify, and The Washington Post for communicating via video. We've raised $100M from leading investors such as the OpenAI Startup fund, Andreessen Horowitz, Redpoint Ventures, and Spark Capital. About The Team We are seeking a Head of Platform Engineering to lead and scale our Platform organization. This organization at Descript is central to empowering our engineering teams to build and deliver products efficiently and effectively. Operating as an internal product team, the Platform group focuses on providing tools, infrastructure, and services that enable our engineers to deliver exceptional products to our users. You will be leading five teams across Platform, with expectations for continued growth in the next 6-12 months. The Platform organization encompasses: Infrastructure Team: Builds and maintains our core backend and development infrastructure, ensuring scalability, reliability, and performance. Builder Experience Team: Focuses on the foundations of our client applications, CI/CD, build, test, and release. AI Enablement Team: Develops and scales our AI/ML infrastructure to support cutting-edge research and integration of AI features into our products. Media Team: Scales and improves our proprietary media server which handles playback and media serving. Core Engineering: Responsible for monetization foundations (usage tracking, Stripe integration), identity services (auth, permissions, user/team management), and key enterprise integrations. Key Challenges Ahead: Infrastructure Scaling: Building a scalable, reliable, and performant infrastructure to support the growth of our engineering, data, and research teams. Product Transition: Leading the transition of our features and infrastructure from a desktop app-heavy product to a web-first and cloud-based user experience. Developer Experience: Establishing the foundations for a world-class developer experience, enhancing productivity and satisfaction across a fast-growing, full-stack engineering organization. AI/ML Integration: Scaling our AI/ML platform to support innovative research rapid productization of AI features, and a product feedback cycle for model improvements. This position reports directly to the VP of Engineering. What You'll Do Strategic Leadership: Develop and execute a strategic vision and roadmap for the Platform organization, aligning with company goals and ensuring cross-team collaboration. Team Development: Recruit, mentor, and grow engineering managers and engineers, fostering a culture of continuous learning and development. Operational Excellence: Ensure execution across the Platform teams is predictable, reliable, and sustainable, implementing best practices in project management and engineering processes. Cross-Functional Collaboration: Work closely with Product, Design, and other Engineering teams to ensure platform initiatives meet the needs of internal stakeholders. Innovation and Improvement: Drive innovation within the Platform organization, continually seeking ways to improve our infrastructure, tools, and processes. Culture Building: Help scale and evolve our company culture as we grow, promoting values of collaboration, inclusivity, and excellence. What You Bring Leadership Experience: Has 5+ years of engineering management experience, including leading multiple teams or an engineering organization, preferably in platform or developer experience domain. Technical Expertise: Demonstrates a strong technical background with experience in cloud platforms (GCP preferably), scalable infrastructure, and AI/ML technologies. Strategic Thinker: Can develop and communicate a clear vision, aligning teams and resources to achieve strategic objectives. Team Builder: Excels at creating collaborative, empowering, and high-performing team environments. Effective Communicator: Communicates clearly and effectively, both in writing and verbally, across technical and non-technical audiences. Adaptable and Resilient: Thrives in fast-paced, rapidly changing environments, with the ability to navigate ambiguity and drive results. Educational Background: Holds a Bachelor's degree in Computer Science, Engineering, or related field, or has equivalent professional experience. Nice to Haves Startup Experience: Experience managing engineering teams at a startup or high-growth company where the rate of change is extremely high. AI/ML Background: Familiarity with AI/ML platforms, tools, and practices. Developer Tools Expertise: Background in building developer tools and enhancing developer experience. The base salary range for this role is $224,000- $296,000/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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Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs.   Cerebras' current customers include global corporations across multiple industries, national labs, and top-tier healthcare systems. In January, we announced a multi-year, multi-million-dollar partnership with Mayo Clinic, underscoring our commitment to transforming AI applications across various fields. In August, we launched Cerebras Inference, the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services.About Us 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 2024, we launched Cerebras Inference, the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services.  About The Role  We are seeking a highly skilled Deployment Engineer to build and operate our cutting-edge inference clusters. These clusters would provide the candidate an opportunity to work with the world's largest computer chip, the Wafer-Scale Engine (WSE), and the systems that harness its unparalleled power.   You will play a critical role in ensuring reliable, efficient, and scalable deployment of AI inference workloads across our global infrastructure. On the operational side, you’ll own the rollout of the new software versions and AI replica updates, along the capacity reallocations across our custom-built, high-capacity datacenters.    Beyond operations, you’ll drive improvements to our telemetry, observability and the fully automated pipeline. This role involves working with advanced allocation strategies to maximize utilization of large-scale computer fleets.   The ideal candidate combines hands-on operation rigor with strong systems engineering skills and thrives on building resilient pipelines that keep pace with cutting-edge AI models.  This role does not require 24/7 hour on-call rotations.     Responsibilities  Deploy AI inference replicas and cluster software across multiple datacenters  Operate across heterogeneous datacenter environments undergoing rapid 10x growth  Maximize capacity allocation and optimize replica placement using constraint-solver algorithms  Operate bare-metal inference infrastructure while supporting transition to K8S-based platform  Develop and extend telemetry, observability and alerting solutions to ensure deployment reliability at scale  Develop and extend a fully automated deployment pipeline to support fast software updates and capacity reallocation at scale  Translate technical and customer needs into actionable requirements for the Dev Infra, Cluster, Platform and Core teams  Stay up to date with the latest advancements in AI compute infrastructure and related technologies.   Skills And Requirements  2-5 years of experience in operating on-prem compute infrastructure (ideally in Machine Learning or High-Performance Compute) or id developing and managing complex AWS plane infrastructure for hybrid deployments  Strong proficiency in Python for automation, orchestration, and deployment tooling  Solid understanding of Linux-based systems and command-line tools  Extensive knowledge of Docker containers and container orchestration platforms like K8S  Familiarity with spine-leaf (Clos) networking architecture  Proficiency with telemetry and observability stacks such as Prometheus, InfluxDB and Grafana  Strong ownership mindset and accountability for complex deployments  Ability to work effectively in a fast-paced environment.   Location   SF Bay Area.  Toronto  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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Location: San Francisco (100% In-Office) Experience: 5+ years Salary: $200K - $350k • Offers EquityAt Giga, we’re revolutionizing enterprise by deploying AI agents that resolve over 1 million customer tickets monthly via voice and chat. Industry leaders like DoorDash trust our AI to navigate complex, real-world conversations with clarity, accuracy, and scalability.Engineers at Giga work on problems like:building agents with almost no hallucination ratesa voice experience that's better than talking to humanscreating self-learning agents that optimize metrics Who You Are / Must-Haves:Exceptional EngineerBackend: Strong experience in Python (Django experience is a plus)Cloud: Proficient with AWS or Google CloudScalability: Familiarity with Kubernetes and Docker is a plusEntrepreneurial: Preference for candidates with experience at successful startups. Former founders are especially valuedSeasoned: 5+ years of hands-on engineering experience with roles in leadership Perks & BenefitsCompetitive total compensationEquinox membershipFull health, dental, and vision coverageOn-demand snacks, coffee, and DoorDash CreditsUbers covered home Interview ProcessScreening call w/ recruiting lead (20 min)Intro call w/ Founding Engineer (15 min)Live coding round w/ Founding Engineer (1 hr)In-office interview (full day)

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Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs.   Cerebras' current customers include global corporations across multiple industries, national labs, and top-tier healthcare systems. In January, we announced a multi-year, multi-million-dollar partnership with Mayo Clinic, underscoring our commitment to transforming AI applications across various fields. In August, we launched Cerebras Inference, the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services.About The Role Join Cerebras’ new Global Support organization to help customers run production-grade AI inference. You’ll troubleshoot issues across model serving, deployment, and observability; resolve customer tickets; and partner with Engineering to improve the reliability, performance, and usability of our inference platform.  Responsibilities Own inbound tickets for inference issues (availability, latency/throughput, correctness, model loading, etc.).  Triage, reproduce, and debug across the stack: APIs/SDKs, model serving layers (e.g., vLLM), networking, etc.  Analyze logs/metrics/traces (e.g., Prometheus/Grafana/ELK) to drive fast resolution and clear RCAs.  Create and maintain high-quality runbooks, knowledge base articles, and “getting unstuck” guides.  Collaborate with Product/Eng to escalate defects, validate fixes, and influence roadmap via aggregated support insights.  Participate in follow-the-sun on-call rotations for P1/P2 incidents with defined SLAs.  Proactively identify pain points in both our solutions and those of our customers.  Advocate for customer needs internally, helping prioritize fixes, features, and reliability improvements.  Skills & Qualifications 4–6 years in technical support, SRE, or solutions engineering for distributed systems or ML/AI products.  Strong Linux fundamentals; confident with shell, systemd, containers (Docker), basic networking (TLS, DNS, HTTP/2, gRPC), and debugging with logs/metrics.  Proficiency in at least one scripting language (Python preferred) for repros, tooling, and log parsing.  Familiarity with modern LLM inference concepts: token streaming, batching, KV cache, etc.  Excellent customer communication: drive clarity from ambiguous reports, write crisp updates, and set accurate expectations.  Assets Exposure to one or more serving stacks (e.g. vLLM) and OpenAI-compatible APIs.  Observability practice (Prometheus, Grafana, Elk) and basic performance testing.  Ticketing/ITSM (e.g., Jira/ServiceNow/Zendesk), incident response, and SLA/SLO workflows.  Experience with GPUs/accelerators and performance tuning (throughput vs. latency trade-offs, batching/concurrency tuning).  Demonstrate humility, collaboration, and a commitment to continuous learning to support team and customer success.  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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Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs.   Cerebras' current customers include global corporations across multiple industries, national labs, and top-tier healthcare systems. In January, we announced a multi-year, multi-million-dollar partnership with Mayo Clinic, underscoring our commitment to transforming AI applications across various fields. In August, we launched Cerebras Inference, the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services.About The Role Join Cerebras’ new Global Support organization to help customers run production-grade AI inference. You’ll troubleshoot issues across model serving, deployment, and observability; resolve customer tickets; and partner with Engineering to improve the reliability, performance, and usability of our inference platform.  Responsibilities Own inbound tickets for inference issues (availability, latency/throughput, correctness, model loading, etc.).  Triage, reproduce, and debug across the stack: APIs/SDKs, model serving layers (e.g., vLLM), networking, etc.  Analyze logs/metrics/traces (e.g., Prometheus/Grafana/ELK) to drive fast resolution and clear RCAs.  Create and maintain high-quality runbooks, knowledge base articles, and “getting unstuck” guides.  Collaborate with Product/Eng to escalate defects, validate fixes, and influence roadmap via aggregated support insights.  Participate in follow-the-sun on-call rotations for P1/P2 incidents with defined SLAs.  Proactively identify pain points in both our solutions and those of our customers.  Advocate for customer needs internally, helping prioritize fixes, features, and reliability improvements.  Skills & Qualifications 4–6 years in technical support, SRE, or solutions engineering for distributed systems or ML/AI products.  Strong Linux fundamentals; confident with shell, systemd, containers (Docker), basic networking (TLS, DNS, HTTP/2, gRPC), and debugging with logs/metrics.  Proficiency in at least one scripting language (Python preferred) for repros, tooling, and log parsing.  Familiarity with modern LLM inference concepts: token streaming, batching, KV cache, etc.  Excellent customer communication: drive clarity from ambiguous reports, write crisp updates, and set accurate expectations.  Assets Exposure to one or more serving stacks (e.g. vLLM) and OpenAI-compatible APIs.  Observability practice (Prometheus, Grafana, Elk) and basic performance testing.  Ticketing/ITSM (e.g., Jira/ServiceNow/Zendesk), incident response, and SLA/SLO workflows.  Experience with GPUs/accelerators and performance tuning (throughput vs. latency trade-offs, batching/concurrency tuning).  Demonstrate humility, collaboration, and a commitment to continuous learning to support team and customer success.  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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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 GPTZeroGPTZero is on a mission to restore trust and transparency on the internet. As the leading AI detection platform, we empower educators, students, journalists, marketers, and writers to navigate the evolving landscape of AI-generated content. With millions of users and institutions relying on us, we’re building a category-defining company at the intersection of AI and information integrity. Our team comes from high-performing engineering cultures, including Uber, Meta, Perplexity, Amazon, Affirm, and leading AI research labs, including Princeton, Caltech, MILA, and Vector.About this role:In this role, you'll build the next generation of AI tools that promote critical thinking, assist in the writing process, and verify document factuality. The ideal candidate is someone who is adept at creating reliable AI agents, prompt engineering, possesses a great product sense, and is also an excellent software engineer. You'll be working on a fast-paced team of passionate builders to create industry-defining software that has attracted millions of users globally.What you'll contribute:Fine-tune and evaluate state-of-the-art language modelsOptimize prompts to maximize classification accuracy, personalize outputs, and enforce style guidelinesDevelop multi-agent workflows incorporating data from diverse sources using RAGImprove and iterate on AI agents using observability and experimentation toolsStay up-to-date with the latest literature and emerging technologies to solve novel problemsWork closely with product and design teams to develop intuitive applications that create societal impactQualifications4+ YOE in Python1+ YOE in LLM framework like Langchain or LlamaIndex1+ YOE with agentic or RAG applicationsStrong exploratory data analysis (EDA) skills to effectively leverage data in a way that informs pragmatic solutionsExperience pushing the cutting-edge in LLM abilities on novel tasks with subjective outputsExcellent software engineer with experience building highly extensible and modular codebases, as well as complex pipelinesSelf-starter (pitch, plan, and implement as a project owner in a fast-paced team)Highly motivated to make positive societal impactAbility to wear multiple hats and be a leader as our team growsVisa for work in Canada or USBonus:Strong open-source portfolioPublications at top-tier ML venuesExperience working in an early-stage startup environmentExperience with a prompt optimization framework like DsPY or TextGrad

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Job Description:Shield AI is seeking an exceptional Co-op candidate to join the team in building our autonomous aircraft. You will join a team of highly talented cross-functional engineers that exhibit a culture of mentorship, kindness, ownership, and hard work. The ideal start date is June 2026, and the end date is flexible What you'll do:You will be given ownership of a project that is tailored to the start date, duration, and location of your Co-op.Your work will directly contribute to the success of our novel aircraft development program. You will understand exactly why your project matters and how it ties into our critical path development objectives.You will be partnered with a senior engineer as mentor and guide for technical input and professional development. Examples of projects:Design a circuit board involving analog, digital, mixed signal, high speed circuits that enables us to test a prototype flight computer.Design, simulate, and verify high voltage power electronics (>10kW) DC/DC Converters and DC/AC inverters.Work with a senior engineer to bring-up and validate a new Avionics system.Identify bugs and drive changes to fix them.Build a test rack to deliver fully automated test coverage of a flight critical sub-system.Run a HALT campaign to ensure a series of new circuit boards are highly reliable. Required qualifications:Have completed at least the 2nd year of a relevant degree. Typically, Electrical Engineering.Strong technical fundamentals.Have been part of an engineering team/club.Experience with electrical design software and tools such as Altium, KiCAD, an oscilloscope, etc.Demonstrated history of showing ownership of project outcomes and delivering exceptional results.Record of working hard, being a trustworthy teammate, holding yourself and others to high standards, and being kind to others.

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About Faculty At Faculty, we transform organisational performance through safe, impactful and human-centric AI. With more than a decade of experience, we provide over 350 global customers with software, bespoke AI consultancy, and Fellows from our award winning Fellowship programme. Our expert team brings together leaders from across government, academia and global tech giants to solve the biggest challenges in applied AI. Should you join us, you’ll have the chance to work with, and learn from, some of the brilliant minds who are bringing Frontier AI to the frontlines of the world.About the roleThis is an exciting opportunity to work on Faculty’s product Frontier, working as a Lead Data Scientist in our Customer Development team. You’ll have a crucial opportunity to shape the technical vision for how we deliver our flagship Frontier product to customers and guide the senior and junior data scientists on your team.You will oversee project teams that configure Frontier for our customers by designing and building bespoke computational twins – our AI-powered digital twins. Maintaining ownership of the data science approach, you will own the technical vision for these complex deployments, partner directly with clients to shape strategy, and play a vital part in mentoring the next generation of data science talent at Faculty.What you'll be doingProject Leadership:Guide the technical delivery of Frontier deployments for clients, from initial discovery through to the build and productionisation of computational twins.Own the end-to-end data science approach, designing and implementing the optimal techniques – from EDA and classic machine learning to deep learning – to create high-performing computational twins within the Frontier platform.Partner with our commercial team and clients to build strong, lasting relationships, acting as a trusted technical advisor on how AI & Frontier can solve their most complex problems.Articulate intricate technical concepts, model design choices, and strategic decisions clearly and effectively to diverse audiences, from client-side engineers to C-suite executives.Team Mentorship:Formally manage and mentor a number of data scientists, taking direct responsibility for their career progression and professional growth.Provide targeted technical support and learning opportunities for the data scientists on your project teams, ensuring they are developing their skills in applied data science and on the Frontier platform.Contribute to sustaining our culture by creating an atmosphere of collaboration and setting a high standard for performance and technical excellence within the team.Technical Leadership:Establish a distinct and differentiated data science vision for building computational twins, driving best practices and innovative approaches for configuring the Frontier product.Partner with our commercial and product teams to ensure potential projects are appropriately scoped and resourced, balancing client delivery, colleague wellbeing, and commercial imperatives.Keep abreast of the latest technical and technology advancements in AI, share these with others in the organisation, and identify how they can be incorporated into the Frontier product and our delivery workflows.Who we're looking forYou have deep technical expertise in machine learning and a command of diverse methodologies, with a solid grasp of data science and statistical techniques (e.g., supervised/unsupervised machine learning, model cross-validation, Bayesian inference, time-series analysis).Strong Python programming skills and an excellent proficiency of the basic libraries for data science (e.g., NumPy, Pandas, Scikit-Learn) and familiarity with a deep-learning framework (e.g., TensorFlow, PyTorch).You possess proven experience leading data science projects and making key decisions on technical direction, model selection, and architecture.You are an exceptional communicator, capable of building rapport with clients, translating complex business problems into a mathematical framework, and presenting technical solutions persuasively to senior audiences.You have a strategic, product-oriented mindset, with an ability to understand the core needs of users and connect them to the value delivered by a technical product like Frontier.You are passionate about developing people and have experience formally managing or mentoring other technical professionals.Commercial experience is essential, particularly if it involved client-facing work, project management, or consulting. You are motivated to work alongside our clients to ensure the successful delivery of innovative work to strict timelines.What we can offer you: The Faculty team is diverse and distinctive, and we all come from different personal, professional and organisational backgrounds. We all have one thing in common: we are driven by a deep intellectual curiosity that powers us forward each day. Faculty is the professional challenge of a lifetime. You’ll be surrounded by an impressive group of brilliant minds working to achieve our collective goals. Our consultants, product developers, business development specialists, operations professionals and more all bring something unique to Faculty, and you’ll learn something new from everyone you meet.

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RYZ Labs is seeking a Full Stack Engineer  to work with one of our partners; a start up dedicated to improve the healthcare experience for patients by providing personalized assistance through healthcare advocates. What you’ll do: - Design, build, and launch the patient and advocate-facing apps, backend services, and integrations.- Move fast — prioritize shipping value while managing technical debt intentionally. - Leverage LLMs, APIs, and custom models to automate intake, triage, and follow-up.- Integrate AI into the daily tools advocates use, from summarization to proactive care nudges. - Translate ambiguous product needs into clear, buildable solutions. - Decide what to build in-house vs. integrate via third-party APIs. - Work with clinical, ops, and growth leads to ensure product solves real user problems.- Join early customer calls to see pain points firsthand. What we are looking for: - Have 8**+ years full-stack experience** (e.g., Ruby on Rails, Python/Django, Elixir/Phoenix, or similar backends + React/Next.js or similar frontends).- Have shipped production code in healthcare or another regulated industry.- Are fluent in AI development — prompt engineering, fine-tuning, API integration, vector databases, RAG pipelines.- Can design secure, HIPAA-compliant systems.- Have experience with RESTful APIs, relational databases, and cloud hosting (AWS, GCP, or PaaS like Aptible/Fly.io).- Are 80%+ hands-on coding in your current role and want to stay that way.- Thrive in startup chaos and want a seat at the table in technical + product decisions.- Experience with AI at other startups, strong Django and Python skills and experience working directly with EHRs, claims systems, or care coordination tools is a Plus. Our values and what to expect: - Customer First Mentality - every decision we make should be made through the lens of the customer.- Bias for Action - urgency is critical, expect that the timeline to get something done is accelerated.- Ownership -  step up if you see an opportunity to help, even if not your core responsibility. - Humility and Respect - be willing to learn, be vulnerable, and treat everyone who interacts with RYZ with respect.- Frugality - being frugal and cost-conscious helps us do more with less- Deliver Impact - get things done most efficiently. - Raise our Standards - always be looking to improve our processes, our team, and our expectations. The status quo is not good enough and never should be.

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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 Mistral  At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life. We democratize AI through high-performance, optimized, open-source and cutting-edge models, products and solutions. Our comprehensive AI platform is designed to meet enterprise needs, whether on-premises or in cloud environments. Our offerings include le Chat, the AI assistant for life and work. We are a dynamic, collaborative team passionate about AI and its potential to transform society.Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between France, USA, UK, Germany and Singapore. We are creative, low-ego and team-spirited. Join us to be part of a pioneering company shaping the future of AI. Together, we can make a meaningful impact. See more about our culture on https://mistral.ai/careers. Role Summary As our Enterprise Sales Executive for the ANZ market, you will play a crucial role in driving Mistral AI's adoption among large enterprise customers across various industries. Based in Australia, you will manage the entire sales cycle, from initial outreach to closing deals, collaborating closely with our dedicated implementation, tech, and legal teams. Your strategic vision and execution will be instrumental in establishing Mistral AI as a leading AI solutions provider in the ANZ region. What You Will Do Lead Development (Strategic Outbound and Qualified Inbound):- Conduct strategic outreach and manage warm introductions to potential enterprise customers.- Convert inbound leads where there are opportunities for upselling or more bespoke agreements.Value Proposition Validation for Customers:- Provide hands-on support and guidance to clients during the Proof of Concept (POC) phase, ensuring a smooth and successful evaluation process.- Leverage successful POC outcomes to convert them into long-term, revenue-generating contracts.Deal Management & Closing:- Develop and execute strategic sales plans to convert leads into valued customers.- Serve as the primary point of contact for all external stakeholders, managing deals and aligning all stakeholders, including customer engineering, product, and commercial teams.- Handle customer negotiations end-to-end, collaborating with our legal and implementation specialist teams.Executive Engagement:- Cultivate and maintain strong relationships with C-level executives, heads of innovation/AI and other key decision makers within target organisations. - Understand their specific challenges and position Mistral AI's solutions as integral to their strategic initiatives.Technical Aptitude:- Demonstrate a deep understanding of our product's technical intricacies and articulate its value proposition effectively to potential clients.- Work closely with our implementation team to address customer questions, concerns, and challenges during pre-sales, deployment, and post-deployment phases.- Collaborate with our technical team to address any customer inquiries or concerns.Training and Enablement:- Empower internal teams with the knowledge and resources gathered from customer conversations to drive the product roadmap and align on priorities. About You • 7-10 years of experience in enterprise sales or consultative selling, ideally with a highly complex, technical product. • Deep understanding of the ANZ market dynamics and enterprise landscape.• Experience of consultative selling of highly complex, technical products.• Bachelor's and/or Master's degree in Business, Computer Science, or a related field.• Significant work experience within the AI ecosystem or related data/infrastructure field.• Experience working at a successful, fast-growing startup, ideally in deep-tech.• Strong technical skills to navigate quickly evolving products and steer technical discussions.• Excellent English skills; additional languages are welcome.• Outstanding negotiation and communication skills to build relationships and close deals effectively. Join Mistral AI and be at the forefront of driving AI adoption in the public sector. Your strategic vision, technical aptitude, and relationship-building skills will be instrumental in establishing Mistral AI as a trusted partner for government agencies and public institutions. Benefits 💰 Competitive cash salary and equity🚑 Health Insurance🥎 Sport : $90 for gym membership allowance🥕 Food : $200 monthly allowance for meals (solution might evolve as we grow bigger)🚴 Transportation : $120/month for public transport or Parking charges reimbursed 

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FEQ127R16 DatabricksはデータとAIの企業であり、全世界で10,000以上の組織が、Comcast、Condé Nast、Grammarly、Fortune 500の50%以上を含む、Databricks Data Intelligence Platformを利用してデータ、分析、AIを統合し民主化しています。Databricksはサンフランシスコに本社を置き、世界中にオフィスを展開しており、Lakehouse、Apache Spark™、Delta Lake、MLflowのオリジナルクリエイターによって設立されました。詳細については、X、LinkedIn、FacebookでDatabricksをフォローしてください。 仕事の内容 プリセールスソリューションアーキテクト（分析、AI、ビッグデータ、パブリッククラウド）として、あなたは営業プロセス全体にわたってハンズオン環境で技術評価フェーズを指導します。あなたは営業チームの技術アドバイザーとなり、現場で顧客要件を実現するために製品チームと連携します。Databricks データインテリジェンスプラットフォームを使用して顧客が具体的なデータ駆動の成果を達成する手助けをし、データチームがプロジェクトを完了し、当社のプラットフォームを企業エコシステムに統合できるよう支援します。ビッグデータ、分析、データエンジニアリング、データサイエンスの問題に対する顧客の最大の課題に対する解決策を見つけながら、あなたは営業チームと一緒にお客様に解決策を提案します。あなたはフィールドエンジニアリングのマネージャーに報告します。 あなたがもたらす影響： あなたはアーキテクチャと設計の側面におけるビッグデータ分析の専門家となります。 見込み客をDatabricksの評価と採用へ導きます。 リファレンスアーキテクチャ、ハイレベルの導入・移行プラン、およびデモアプリケーションを作成することで顧客を支援します。 顧客アーキテクチャをサポートするためにDatabricksとサードパーティアプリケーションを統合します。 ワークショップ、セミナー、およびミートアップを主導することで技術コミュニティと関わります。 営業と共に、担当するセグメントのクライアントとの成功した関係を築き、技術的およびビジネス価値を提供します。 顧客のユースケースのディスカバリー 既存顧客のDatabricks環境の最適化 Databricks製品改善のための活動 必要な条件/経験: 様々な業界・産業で外部クライアントと関わるプリセールスまたはポストセールスの経験 技術概念を示す経験、プレゼンテーションやホワイトボードを使用した経験 パブリッククラウド（AWS、Azure、GCP）内でのアーキテクチャ設計と実装の経験 エンタープライズアカウントとの業務経験  日本語での流暢なコミュニケーション、および英語でのビジネス上の読み書きができること データ領域、もしくは、機械学習・AI領域の基本的な技術理解。および、SQLのコーディングスキル。 望ましい経験/スキル: データエンジニアリングまたはデータサイエンスのいずれかにおいてコアな強みを持つ顧客向けプリセールスまたはコンサルティングの役割に対する理解があることが望ましい Apache Spark™、AI、データサイエンス、データエンジニアリング、Hadoop、Cassandraなどのビッグデータ技術に関する経験 Python, Scala, Java、もしくはRを使用したApache Sparkの流暢なコーディング経験 データ領域、もしくは、機械学習・AI領域での開発経験。特に、Python(Pandas, NumPy等)のコーディング経験  About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks.  Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

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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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Position: Senior Customer Success Manager Location: San Francisco, CA (Hybrid) Type: Full-Time Experience: 6–8 Years in SaaS Client SuccessWant to (actually) change the world? Hi, we're Alex and Bradford, co-founders of Coworker. We started this company with a simple but important goal: to make work matter.Today, that vision is turning into reality. Coworker is a hypergrowth AI startup, backed by top-tier VCs and we're building something truly transformative: AI for complex work.Unlike anything else in the market, Coworker is the world's first enterprise AI agent that can do complex work. Powered by our breakthrough OM1 (Organizational Memory) technology, Coworker creates a 'brain' for companies: an AI system with deep contextual memory that understands what's happening across a business and then completes multi-step work across 25+ enterprise applications.It's not just another productivity tool. It's a fundamental shift in how work gets done and where people spend their valuable time.We've secured $13M in seed funding from top-tier VCs and we've already landed household-name enterprise customers and achieved rapid YoY ARR growth with clear product-market fit.Now, we're building out our team to continue our aggressive penetration into mid-market and enterprise companies. Coworker isn't just a better way to work—it's the future of work.And we're only just getting started.Why Coworker?The work that will define your career: this is literally an opportunity to change how the world works. We're going to totally transform how 1 billion people spend their time.Ownership above all else: every single person at Coworker brings an extreme level of ownership in everything they do. This is intensely motivating and will buoy you in everything you do.Exceptional team: you'll work alongside some of the best. We've been on the growth journey at Uber and other high calibre startups.Strong early traction in an explosive category: we're growing fast in an extremely fast growing category.Technical moat: OM1 allows us to do things that no-one else can do. It's an incredibly strong foundation to build a world-changing business.Job SummaryYou are a highly driven Senior Customer Success Manager who will own the post-sale relationship with our mid-market customers ($50k-$100k+ ACV). You'll be responsible for customer onboarding, product adoption, retention, and growth. This role is perfect for a strategic CSM with 6-8 years of experience looking to advance their career in enterprise customer success while developing relationship management, strategic advisory and revenue growth.Key ResponsibilitiesCustomer Onboarding: Drive implementation success through structured onboarding programs, ensuring 30-day time-to-valuePortfolio Management: Own 50-75 customer accounts, maintaining 95%+ retention rate and 110%+ net revenue retentionStrategic Advisory: Conduct quarterly business reviews, create success plans, and provide data-driven recommendationsGrowth Initiatives: Identify expansion opportunities, collaborate with Sales on upsells and drive product adoptionSuccess Operations: Monitor customer health scores, usage metrics, and engagement data to proactively address risksRequirementsExperience: 6-8 years in SaaS Customer Success roles with proven track record of retention and growthOperational Mindset: Self-starter with ability to identify, own and execute on opportunities while managing competing priorities. Strong bias for action and comfort with ambiguity in a fast-paced environmentTechnical Skills: Strong platform expertise, ability to understand technical requirements and translate business needsCommunication: Excellence in stakeholder management, presentation skills and written communicationAnalytics: Data-driven approach to customer success, proficiency in success metrics and reportingTools: Expertise in Customer Success and CRM systems (Hubspot, Salesforce) and collaboration/project management toolsPreferred QualificationsExperience managing mid-market or enterprise SaaS relationshipsBackground in consulting or strategic advisory rolesExperience with AI/ML platforms and use casesCompensation & BenefitsSalary + Equity + BenefitsBase Salary: $140k-160kEquity: Generous equity in early stage companyBenefits: Health/dental/vision insurance, 401(k), unlimited PTOCareer DevelopmentMentorship: Partnered with Leadership for portfolio strategy and skill developmentPromotion Path: Clear advancement to Enterprise CSM or Team Lead within 18-24 monthsCross-functional exposure: Opportunities to work with Product, Sales and Marketing teamsDrop us a line!We encourage you to drop us a line even if you feel over- or under-qualified. We want to find the best people to help us build Coworker no matter who they are. We have a lot of different areas of responsibility and we are always happy to brainstorm with you about what would be the best fit. Coworker.ai is an equal opportunity employer. We believe everyone should feel great about being their authentic selves at Coworker–this is the only way to do our best work! We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We believe that great employees come from diverse backgrounds.

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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 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 RoleOur Solutions Engineering team plays a pivotal role in bridging the gap between our product development and client-facing teams for our latest product, Sana AI. The team prides itself on its adaptability, entrepreneurial spirit, and relentless pursuit of excellence. Many team members have joined from previous workplaces like Google AI, Spotify, BCG, and McKinsey.It’s an exciting time to be working with AI, especially at Sana. Our goal is to build an AI assistant for work with infinite capabilities—one that can process any amount of information, answer any question, assist with all knowledge work, and ultimately solve difficult problems autonomously. This means you’ll get to work with state-of-the-art LLMs, and be on the frontlines of operationalizing the potential of AI within some of the most pioneering companies around the globe.As the Sana AI's footprint expands through an increasing client based and users, your role will likely evolve to include the coaching and onboarding of additional solution engineers, as well as the scaling the designed and implemented solution, and the creation and the iterations on the playbooks required to make the Sana AI solutions succeed at scale.What you’ll doProvide dedicated technical support during pre-sales and implementation phases, ensuring that client queries are addressed promptly and accurately.Engage directly with clients, especially large enterprises, to build trust and credibility by demonstrating deep technical knowledge.Collaborate closely with product managers and engineers to stay updated on the latest product developments and ensure seamless communication between teams.Address complex technical issues that arise during sales and deployment, ensuring that solutions are implemented efficiently and effectively.Identify and implement process improvements to enhance the efficiency of the sales and deployment processes.What will help you thriveA strong technical background with experience in software engineering, systems engineering, or a related field.Proven experience in a client-facing technical role, preferably within the tech industry.Excellent problem-solving skills with the ability to address complex technical issues quickly and effectively.Strong verbal and written communication skills and can explain technical concepts to non-technical stakeholders.Working collaboratively with cross-functional teams, including product managers, engineers, and sales teams.A self-starter mindset, meaning you can proactively identify issues and opportunities and tackle them without being told to do so.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 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 RoleOur Solutions Engineering team plays a pivotal role in bridging the gap between our product development and client-facing teams for our latest product, Sana AI. The team prides itself on its adaptability, entrepreneurial spirit, and relentless pursuit of excellence. Many team members have joined from previous workplaces like Google AI, Spotify, BCG, and McKinsey.It’s an exciting time to be working with AI, especially at Sana. Our goal is to build an AI assistant for work with infinite capabilities—one that can process any amount of information, answer any question, assist with all knowledge work, and ultimately solve difficult problems autonomously. This means you’ll get to work with state-of-the-art LLMs, and be on the frontlines of operationalizing the potential of AI within some of the most pioneering companies around the globe.As the Sana AI's footprint expands through an increasing client based and users, your role will likely evolve to include the coaching and onboarding of additional solution engineers, as well as the scaling the designed and implemented solution, and the creation and the iterations on the playbooks required to make the Sana AI solutions succeed at scale.What you’ll doProvide dedicated technical support during pre-sales and implementation phases, ensuring that client queries are addressed promptly and accurately.Engage directly with clients, especially large enterprises, to build trust and credibility by demonstrating deep technical knowledge.Collaborate closely with product managers and engineers to stay updated on the latest product developments and ensure seamless communication between teams.Address complex technical issues that arise during sales and deployment, ensuring that solutions are implemented efficiently and effectively.Identify and implement process improvements to enhance the efficiency of the sales and deployment processes.What will help you thriveA strong technical background with experience in software engineering, systems engineering, or a related field.Proven experience in a client-facing technical role, preferably within the tech industry.Excellent problem-solving skills with the ability to address complex technical issues quickly and effectively.Strong verbal and written communication skills and can explain technical concepts to non-technical stakeholders.Working collaboratively with cross-functional teams, including product managers, engineers, and sales teams.A self-starter mindset, meaning you can proactively identify issues and opportunities and tackle them without being told to do so.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 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)