AI Data Science & Analytics Jobs

false

About Augment Code Augment Code is the only AI coding assistant built for professional software engineers working in large, production‑grade codebases. Our Context Engine understands your entire repo, enabling developers to stay in flow while writing, reviewing, and understanding code. Backed by top‑tier investors and trusted by engineering teams at leading tech companies, Augment Code is redefining how modern software is built. About The Role The world of software development is on the brink of a transformation—and Augment is leading the charge. We're building the next generation of AI-powered tools that help engineering teams move faster, stay in flow longer, and deliver more impactful outcomes. We're seeking a Content Designer to own and drive the content that explains and inspires developers. This role requires a strong background in developer tools, a knack for translating complex technical concepts into clear and compelling language, and the ability to write in a variety of tones, from deeply technical to approachable. You'll partner with our product and engineering teams to translate new features into documentation, UX copy, and launch assets, and collaborate with marketing to ensure our product launches are timely and accurate. What you'll do at Augment Code: In-product UX Copy: Craft clear, concise, and helpful tooltips, strings, and other in-product language to make the customer experience refined and elegant.  Product Documentation and Support: Create and maintain comprehensive product documentation, support content, and playbooks to help our customers get the most out of Augment Code. Content Strategy: Develop and execute a content strategy that aligns with our product roadmap and business goals. Cross-Functional Collaboration: Partner with founders, designers, engineers, and marketing to ensure our content is accurate, consistent, and effective. We'd love to hear from you if you have: A strong background in developer tools and a deep understanding of the software development lifecycle (SDLC). A portfolio that demonstrates your breadth of experience, including UI copy, documentation/support content, and marketing/blog posts. The ability to write in multiple tones, bridging the gap between the deeply technical and the approachable. Experience with AI-assisted documentation at scale and an awareness of localization and translation best practices. A Bachelor's degree in English, Communications, Technical Writing, or a related field. While it's not required, it's an added plus if you also have: Project management experience, with the ability to navigate ambiguity and competing priorities. A background working directly with engineering or research teams. Experience in the AI/ML or enterprise software spaces. A technical understanding of software development workflows and tools. Experience creating educational content for technical audiences. Familiarity with developer community engagement and technical documentation standards. Employee Benefits: Flexible work hours Competitive salary & Equity Tools Stipend Health, Dental, Vision and Life Insurance Short Term and Long Term Disability Unlimited Paid Time Off + Holidays. We focus on trust and ownership, not time in the chair Numerous company social events We will do everything we can within reason to make sure that your interview takes place in an environment that fairly and accurately assesses your skills. If you need assistance or accommodation, please contact your recruiter. Augment Code is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with Augment Code's Applicant Privacy Policy.Pay Transparency Notice: The actual base salary within the stated range will be based on a combination of factors such as an individual's skills, experience level, educational background, and other relevant job-related considerations. Annual Base Salary Range$150,000—$225,000 USD

false

About Eudia:   Eudia is redefining the future of legal work with AI-powered Augmented Intelligence, enabling Fortune 500 legal teams to move faster, manage risk more effectively, and unlock new business value. Backed by $105M in Series A funding led by General Catalyst, we’re building a category-defining platform that blends AI-driven automation with human expertise, transforming legal from a cost center into a strategic growth driver.    At Eudia, we move fast. Unlike traditional enterprise software, our teams ship solutions in days, not months—delivering real impact for some of the world’s largest companies, including Cargill, Coherent, DHL, and Duracell. We’re solving one of the most complex, unsolved challenges in AI: bringing trust, accuracy, and security to legal automation.    We’re a team of builders, operators, and problem-solvers who are passionate about reshaping an industry that has long been resistant to change. If you’re looking for a place where you’ll be challenged, take ownership from day one, and work alongside some of the brightest minds in AI and legal —we’d love to meet you.    About the Role:   We’re looking for a Product Marketing Manager to define and drive how the world understands what we’re building. You’ll sit within our Technical organization and partner cross-functionally with Product, Design, Sales, and the founding team to shape our narrative, launch powerful new features, empower customers, and enable our go-to-market motion at scale. This is a rare opportunity to build a high-impact function, while staying deeply hands-on. You’ve likely done this before, and now you’re looking for your next challenge — one where you can take everything you know and apply it at the intersection of breakthrough AI, complex enterprise workflows, and a massive market ripe for reinvention. If you thrive in fast-paced, ambiguous environments and admire the elegance of great messaging and product intuition, you’ll love being here. What You'll Do: Craft bold product positioning and messaging that makes our complex technology crystal clear and genuinely exciting — especially to senior legal and technical stakeholders at Fortune 500 companies Build storytelling assets that empower our sales and customer teams, such as pitch decks, one-pagers, solution sheets, product videos, narratives, and more Serve as the voice of the customer and market; synthesize insights from users, competitors, and the broader industry to drive differentiation, roadmap influence, and stronger messaging Partner deeply with our product managers and technical leaders to translate powerful AI + design features into customer impact Collaborate directly with our CEO, CTO, and Head of Product on launch narratives, positioning bets, and strategic announcements Own case studies, testimonials, and customer-centric content that highlights our impact and builds trust Collaborate with teams to align campaigns with product launches and strategic initiatives Build and scale cross-functional processes for launch planning, positioning refreshes, original research, and field enablement Use AI as a multiplier for your work, from analysis and synthesis to copy generation, iteration, and scaling What We're Looking For: 5–7 years in B2B product marketing, product management, or strategy roles, ideally in SaaS, AI, LegalTech, or enterprise software An ownership-first mentality — you're comfortable being the first in and building something from scratch Exceptional communication skills, both in crafting messaging and influencing across stakeholders Demonstrated ability to work with highly technical products and turn complex concepts into concise customer value Highly analytical and strategic, but also scrappy and biased toward execution Passion for design thinking, intuitive UX, and the role of storytelling to create category leaders Comfortable moving between strategy and execution; you’re building the playbook while running the plays Eager to use AI to scale productivity and bring 10x output to a high-powered team Preferred Qualifications: You have experience working with Fortune 500 enterprises and/or regulated markets (extra bonus if you’ve worked with legal customers) You’ve previously built the early-stage product marketing function or 0→1 launches You’ve worked closely with senior founder/executive teams in strategic go-to-market moments Why You’ll Love Working Here: Impactful Work: Be part of a team that’s at the forefront of AI innovation. Growth Opportunities: Work in an environment that encourages professional growth and the exploration of new ideas. Dynamic Culture: Join a group of passionate, driven individuals who are committed to making a difference. If you’re ready to take on the challenge and make an impact in a rapidly evolving industry, we want to hear from you!

true

Business runs on contracts. Every dollar earned, relationship formed, and advantage gained comes down to the contract that makes it real. But getting a contract done is more complicated than it should be. And when contract data is buried, leaders can’t see risks, obligations, or act in time.Ironclad is the leading AI contracting platform that transforms agreements into assets. Contracts move faster, insights surface instantly, and agents push work forward, all with you in control. Whether you’re buying or selling, Ironclad unifies the entire process on one intelligent platform, providing leaders with the visibility they need to stay one step ahead. That’s why the world’s most transformative organizations, from OpenAI to the World Health Organization and the Associated Press, trust Ironclad to accelerate their business. We’re consistently recognized as a leader in the industry: a Leader in the Forrester Wave and Gartner Magic Quadrant for Contract Lifecycle Management, a Fortune Great Place to Work six years running, and one of Fast Company’s Most Innovative Workplaces. Ironclad has also been named to Forbes’ AI 50 and Business Insider’s list of Companies to Bet Your Career On. We’re backed by leading investors including Accel, Y Combinator, Sequoia, BOND, and Franklin Templeton. For more information, visit www.ironcladapp.com or follow us on LinkedIn. Engineering at IroncladAs a Staff Engineer at Ironclad, you'll be at the core of our platform, directly impacting how users search and interact with their contract data. You’ll be responsible for architecting and building the next-generation, scalable search ecosystem that empowers legal teams to navigate a massive corpus of complex, structured and unstructured data with speed and accuracy. At Ironclad, we’ve built a product that brings a two-thousand-year-old profession into the digital age, and you’ll play a pivotal role in driving the foundation forward.We are looking for someone with a strong background in search technologies and a track record of shipping high-quality, high-performance systems. We work in a highly collaborative environment, and strive to foster a positive, inclusive culture. If you’d like to join us on our mission to build the product that legal teams love, let’s talk!What you'll do:Collaborate cross-functionally with designers, product managers, and other engineers to spec, design, and build features and systems for our core search platform.Partner with quality engineers to define, build and maintain testing strategy.Lead, mentor and provide thoughtful feedback to other team members.Grow your teams by interviewing and recruiting talented engineers to Ironclad.Work on a modern stack built upon: TypeScript, Python, ReactJS, Node.js, Java, and Docker containers in Kubernetes on Google Cloud Platform (experience with these specific technologies not required).What we look for:8+ years of software engineering experience with a proven track record of designing, building, and maintaining complex systems.Expertise in information retrieval, NLP, and machine learning. You have a deep understanding of concepts like indexing, ranking, query parsing, tokenization, and vector search.Hands-on experience with at least one major search engine (e.g., Elasticsearch, OpenSearch, Solr), and familiarity with search evaluation frameworks (e.g., precision, recall, NDCG).Experience with NLP/ML models (e.g., transformers, embeddings), including fine-tuning and relevance feedback.Strong leadership skills with the ability to advise management on roadmap decisions and mentor junior team members.Excellent collaboration and communication skills, with a passion for shipping great products and a drive to improve technical architecture.Ironclad’s Values: drive, intent, integrity, and empathyBenefits:Health, dental, and vision insurance401kWellness reimbursementTake what you need vacation policyGenerous parental leave for both primary and secondary caregiversBase Salary Range:Staff Software Engineer: $210,000 - $235,000Senior Staff Software Engineer: $240,000 - $270,000The base salary range represents the minimum and maximum of the salary range for this position based at our San Francisco headquarters. The actual base salary offered for this position will depend on numerous factors, including individual proficiency, anticipated performance, and the location of the selected candidate. Our base salary is just one component of Ironclad’s competitive total rewards package, which also includes equity awards (a new hire grant, along with opportunities for additional awards throughout your tenure), competitive health and wellness benefits, and a commitment to career growth and development.Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

true

Our PurposeAt Fiddler, we understand the implications of AI and the impact that it has on human lives. Our company was born with the mission of building trust into AI. With the rise of the internet, trust in AI has been degraded by a plethora of issues like spam, fraudulent transactions, hate speech, and online abuse. Fiddler enables organizations to get ahead of these issues by building trustworthy, transparent, and explainable AI solutions. Fiddler partners with AI-first organizations to help build a long-term framework for responsible AI practices, which, in turn, builds trust with their user base. Data Science, MLOps, and business teams use Fiddler AI to monitor, explain, analyze, and improve their AI solutions to identify performance gaps, mitigate bias, and drive better outcomes. Our platform enables engineering teams and business stakeholders alike to understand the “why” and how behind model outcomes.  Our FoundersFiddler AI is founded by Krishna Gade (engineering leadership at Facebook, Pinterest, Twitter, and Microsoft) and Amit Paka (two-time founder with acquisitions by Samsung and PayPal and product roles at Expedia and Microsoft). We are backed by Insight Partners, Lightspeed Venture Partners, and Lux Capital. Why Join UsOur team is motivated to unlock the AI opaque box and help society harness the power of AI. Joining us means you get to make an impact by helping reduce algorithmic bias and ensure that models in production across many different industries are transparent and ethical.  We are an early-stage startup and have a rapidly growing team of intelligent and empathetic doers, thinkers, creators, builders, and everyone in between. The AI and ML industry has a rapid pace of innovation and the learning opportunities here are monumental. This is your chance to be a trailblazer.  Fiddler is recognized as a pioneer in the field of AI Observability and has received numerous accolades, including:  2022 a16z Data50 list, 2021 CB Insights AI 100 most promising startups, 2020 WEF Technology Pioneer, 2020 Forbes AI 50 most promising startups of 2020, and a 2019 Gartner Cool Vendor in Enterprise AI Governance and Ethical Response. By joining our brilliant (at least we think so) team, you will help pave the way in the AI Observability space. This position will operate on Pacific/Mountain Time Zones👩🏽‍🚀 The Mission: As a Senior Solutions Engineer, you’ll be the trusted advisor who champions Fiddler’s value, showing customers not just what we do, but why it matters. You will be an essential technical bridge between our innovative AI platform, and the needs of our enterprise customers. You will directly contribute to accelerating our revenue growth by building and proving the technical and business value of Fiddler AI in high-stakes sales engagements.🪐 About The Team: We are a fast-paced, high-impact, customer-facing team of empathetic doers, thinkers, and builders who sit at the nexus of Fiddler's product, engineering, sales, and customer success organizations. Our core purpose is to validate the technical feasibility and demonstrate the undeniable business value of Fiddler to our most strategic prospects and partners. Our team is key to Fiddler's reputation as a pioneer in the AI Observability space—an effort that has earned us accolades like the a16z Data50 list and the WEF Technology Pioneer status.Joining Fiddler means getting to be an industry trailblazer in a rapidly innovating AI/ML industry. We value high trust, autonomy, and continuous learning. We’re a highly collaborative, supportive group, always ready to jump in to help a teammate scope a complex Proof of Concept (PoC) or strategize on a challenging sales cycle. Our team culture is built on a shared sense of mission and "startup grit". We treat every challenge as a learning opportunity and thrive on adaptability. Our team is spread throughout the U.S. and India, and we practically have PhDs in Zoom and are fluent in Slack. Good news: your pandemic mic and lighting setup won’t go to waste here. 🚀 What You’ll Do:Increase Revenue Velocity: Close a percentage of qualified high-priority sales opportunities by owning the technical win, from initial presentation to final validation, ensuring the prospect's technical requirements and business value needs are fully met by the Fiddler platform.Ensure Technical Success in PoCs: Successfully facilitate, scope, and deliver Proof of Concepts, resulting in a clear, documented path for customer production deployment and a final presentation that quantifies Fiddler’s value (e.g., $ savings, % reduction in bias, etc.) for executive stakeholders.Drive Advocacy: Cultivate strong, trusted relationships with technical stakeholders, converting them into internal Fiddler advocates and power users who actively champion our platform's adoption within their organizations.Influence Product & Market: Deliver product feedback and market intelligence (e.g., competitive gaps, feature requests) to the Product team on a weekly basis, resulting in actionable product updates, while also contributing to our public-facing market publications, documentation, and FAQs.Champion & Provide: Effectively develop and deliver tailored presentations and sales materials that clearly communicate Fiddler’s value proposition, adapting content and style to diverse customer audiences in the absence of a defined playbook. 🔭 What We’re Looking For:We are looking for someone who brings a blend of technical depth, exceptional evangelism, organization, and relentless drive.Technical & Domain SkillsDomain Proficiency: Proficient understanding of the Machine Learning and Generative AI space, including AI Operations methodologies and tooling.Technical Acumen: Innate love of technology and an ability to easily understand and articulate complex technical concepts, coupled with proven coding experience.Enterprise Experience: A history of demonstrable success in technical sales or solutions at the enterprise level, specifically in a pre-sales environment for a minimum of 3 years.Behavior & Communication SkillsExecutive Persuasion: Superior presentation skills with the highest degree of comfort and confidence speaking with and influencing technical and non-technical executives and IT management.Coachable & Adaptable: Thrives in ambiguity and is comfortable without a full picture or pre-set determiners, demonstrating a high degree of flexibility and a proactive approach to filling in the blanks.Self-Motivated & Initiator: Possesses the autonomy and self-motivation to take ownership of complex sales cycles, proactively seeking out solutions and pushing boundaries ("Hungry") to go above and beyond for the customer and the sales team.Empathetic Listener: Strong communication skills paired with an empathetic and non-judgmental approach to listening, ensuring customer needs are deeply understood before solutions are proposed.Agility and Audience Awareness: Demonstrates the ability to quickly pivot messaging and materials based on audience needs, creating compelling decks and presentations that resonate with stakeholders at all levels, even in a fast-moving environment.Communication & Organization: Clearly convey complex information in a structured, compelling way—both in writing and verbally—while managing multiple priorities, tailoring messages to the audience, and ensuring materials and follow-ups are delivered with accuracy and timeliness.🫱🏼‍🫲🏾 Compensation:Base salary range for this role vary based on location, experience, and qualifications:San Francisco, New York City & Seattle: $190,000-$225,000 OTEThis role is hybrid for Bay Area candidates, requiring 2–3 days per week onsite in our Palo Alto officeOther U.S. Locations: $165,000-$200,000 OTEThe posted range represents the expected salary range for this job requisition and does not include any other potential components of the compensation package and perks previously outlined. Ultimately, in determining pay, we'll consider your experience, leveling, location, and other job-related factors.Fiddler is proud to be an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. If you require special accommodations in order to complete the interviews or perform job duties, please inform the recruiter at the beginning of the process.Beware of job scam fraud! We prioritize candidate safety. Our recruiters use @fiddler.ai email addresses exclusively. In the US, we do not conduct interviews via text or instant message, or to provide sensitive personally identifiable information such as bank account or social security numbers. If you have been contacted by someone claiming to be from a different domain about a job offer, please report it as potential job fraud to hr@fiddler.ai.

false

About Xaira Therapeutics Xaira is an innovative biotech startup focused on leveraging AI to transform drug discovery and development. The company is leading the development of generative AI models to design protein and antibody therapeutics, enabling the creation of medicines against historically hard-to-drug molecular targets. It is also developing foundation models for biology and disease to enable better target elucidation and patient stratification. Collectively, these technologies aim to continually enable the identification of novel therapies and to improve success in drug development. Xaira is headquartered in the San Francisco Bay Area, Seattle, and London.Position Overview The use of generative AI to design medicines is reshaping the future of human health. To build the team driving this transformation, we’re looking for a Discovery Partner who can attract and hire world-class AI scientists, research engineers, software engineers, and biomedical AI scientists. In this role, you’ll partner with technical and scientific leaders to design and execute strategies for recruiting the innovators who will redefine how medicines are created. This isn’t traditional biotech recruiting, its talent discovery at the frontier of AI and human health. Key Responsibilities Manage full-cycle recruitment for roles spanning AI/ML research, research engineering, software engineering, and biomedical AI. Develop sourcing strategies that reach into AI research labs, open-source communities, engineering networks, and biomedical science hubs. Partner with hiring managers to define competencies and create compelling job profiles. Represent the company as a talent ambassador at AI/ML and biomedical events. Guide interviewers and teams to run a structured, fair, and rigorous evaluation process. Use recruiting data and analytics to refine search strategies and improve hiring outcomes. Qualifications 8+ years of recruiting experience, with a focus on AI, ML, engineering, or biomedical science roles. Proven success recruiting AI scientists, engineers, and interdisciplinary researchers Familiarity with the AI and biomedical research ecosystem, including major conferences, publishing venues, and academic-to-industry talent flows Familiarity with talent pipelines from GitHub, open-source projects, and leading academic/industry labs. Strong communication and relationship-building skills with technical talent and internal leaders. Data-driven approach with experience using metrics to optimize performance. Passion for generative AI, biomedical innovation, and shaping the future of human health. Compensation Hourly The base pay range for this contract temp position is expected to be $85.00-$125.00 hourly; however, the base pay offered may vary depending on the market, job-related knowledge, skills and capabilities, and experience. Xaira Therapeutics an equal-opportunity employer. We believe that our strength is in our differences. Our goal to build a diverse and inclusive team began on day one, and it will never end. TO ALL RECRUITMENT AGENCIES: Xaira Therapeutics does not accept agency resumes. Please do not forward resumes to our jobs alias or employees. XairaTherapeutics is not responsible for any fees related to unsolicited resumes.

false

Who we are We are building the next-generation AI-powered platform and web application for easy and fast creation of audio and video content. Growing this revolutionary product involves unique technical challenges and requires solving hard and complex problems. The Core Team builds features to help our users find each other and use Descript to create and communicate their ideas with the world. We own critical systems ancillary to the business, such as access control, team management, project organization, usage tracking, payments, and more. We are looking for a Staff full-stack Software Engineer to help us expand these foundational systems. What you’ll do: Take point on critical surface areas and help scale them to the next level Own building and shipping features across all levels of the stack (frontend and backend) Write high-quality testable code that's functional, long term maintainable and performant Collaborate with EPD on crafting great user experiences Integrate systems to power Descript in smart ways What you bring: Full-stack product engineer. It’s ok if you don’t love CSS, but you should be comfortable integrating and debugging functionality and logic end to end and think about systems holistically. Well versed in web development and associated devtools Technologies: Typescript, REST API development, relational DBs Track record evolving and re-architecting complex systems to accommodate growth while maintaining stability Comfortable walking off the beaten path, at the edge of systems Competent thinking about security risks & mitigations Experience integrating 3rd party services Strong at testing and debugging Solid collaboration and communication Growth mindset Nice to have: AI curious: You've explored AI tools, recognize them as useful for specific situations, and know how to use them effectively while acknowledging their limitations Experience building account management features such as Invite flows, domain discovery, team management Enterprise features like audit logs, SSO and SCIM Opinions/experience with authz at scale: roles, permissions, RBAC, FGA At our current size and stage, we embrace a flat organizational structure and value the expertise and contributions of every team member. As such, we have a unified job title for our engineering roles where everyone, including those with Staff-level scope, is considered a Software Engineer internally.  The base salary range for this role is $215,000-$270,000/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. 

false

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 and experienced 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  5-7 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, Canada.   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.

false

Your New Role and TeamOur Engineering team is looking to hire an Engineering Manager on our Robotics Mechanical team. Reporting to our CTO, you’ll gain a comprehensive understanding of the design and implementation of the robotics and mobility systems within our general-purpose robots. The best candidates for this role have excellent organizational and leadership skills, with a strong background in complex mechanical design environments. You’ll be a valued contributor as you create the structures that allow our principal and staff engineers to focus on technical breakthroughs, while you oversee people, operations, and growth that keep the team performing at its best. Success CriteriaEnable mixed mechanical projects by creating clarity in team operations, ownership, and prioritiesGain cutting-edge career experience as you help turn ambitious robotics concepts into reality by empowering technical experts to focus on design and innovationAchieve company-wide visibility as you partner with leaders to develop and improve company design, manufacturing, and sustaining processesExpand your leadership experience as you promote company culture, mentorship, and career development throughout the mechanical teamApply operational discipline to reviews, requirements, and team practices without overlapping with dedicated program management functions Your Experience QualificationsDegree in mechanical engineering, engineering physics, mechatronics, or related technical field, with strong exposure to robotics or automated machinery5+ years of direct experience managing mechanical engineering teams in robotics, automated machinery, or complex mechanism industriesProven success in building team structures that support technical leaders while keeping focus on people, growth, and operational excellenceExperience working across the full mechanical life cycle — from prototyping and design-for-manufacturing to validation and sustainingStrong ability to collaborate with principal and staff engineers, enabling them to drive technical design while you drive culture and team enablement SkillsSkilled at hiring, onboarding, mentoring, and career development for high-performing mechanical teamsAdept at building operational frameworks — reviews, requirements clarity, accountability models — that improve outcomes without duplicating program managementFamiliar with work management tools (e.g., Jira, Confluence) to bring visibility and clarity to tasksStrong understanding of manufacturing workflows, engineering documentation, tolerancing, and GD&TExcellent communicator who can synthesize technical information and align leadership with engineering teams

false

At Anyscale, we're on a mission to democratize distributed computing and make it accessible to software developers of all skill levels. We’re commercializing Ray, a popular open-source project that's creating an ecosystem of libraries for scalable machine learning. Companies like OpenAI, Uber, Spotify, Instacart, Cruise, and many more, have Ray in their tech stacks to accelerate the progress of AI applications out into the real world.With Anyscale, we’re building the best place to run Ray, so that any developer or data scientist can scale an ML application from their laptop to the cluster without needing to be a distributed systems expert.Proud to be backed by Andreessen Horowitz, NEA, and Addition with $250+ million raised to date.About the roleAs a Field Engineer – Partnerships, you’ll work directly with the world’s most influential technology partners (Google Cloud, Azure etc) to drive adoption of Ray and Anyscale, accelerate innovation, and deliver measurable business outcomes.In this role, you will be the strategic link between partner and joint customer teams, acting as a trusted advisor who bridges technical expertise with business impact. You’ll scope and deliver solutions that showcase the unique value of Anyscale, while shaping how large-scale cloud and AI infrastructure is adopted in the enterprise. By channeling insights from our partners back to our product and engineering teams, you’ll help guide Anyscale’s roadmap and ensure we are solving the most critical challenges faced by the teams who are innovating with AI.What You’ll DoCollaborate with key cloud partners and their customers to lead proof-of-value engagements, deployments, and enterprise-scale adoptionTranslate business objectives into technical solutions that demonstrate clear ROI and strategic impactDevelop and deliver high-impact demos, reference architectures, and enablement programs tailored to partner and customer needsAct as a trusted advisor across both technical and executive audiences, ensuring confidence in Anyscale and RayWork closely with sales, product, and engineering to accelerate deals, unblock challenges, and drive long-term success with partnersProvide structured feedback from the field to influence Anyscale’s product direction and go-to-market strategy What We’re Looking For5+ years of customer-facing experience in field engineering, forward deployed engineering, solutions architecture, or software engineeringStrong technical foundation with Python, Azure, and AKS and proven ability to apply it to real-world use casesDemonstrated success driving enterprise adoption of complex SaaS, infrastructure, or ML/AI solutionsExperience engaging both executive and technical stakeholders, with the ability to tailor communication to each audienceA customer-first mindset with a record of delivering measurable business impactWillingness to travel frequently and spend extended time embedded with partners and customersAnyscale Inc. is an Equal Opportunity Employer. Candidates are evaluated without regard to age, race, color, religion, sex, disability, national origin, sexual orientation, veteran status, or any other characteristic protected by federal or state law.Anyscale Inc. is an E-Verify company and you may review the Notice of E-Verify Participation and the Right to Work posters in English and Spanish

true

About xAI xAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All engineers are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.About the Role We are seeking a skilled AI Legal and Compliance Data Specialist to enhance xAI’s AI models by providing high-quality data annotations and inputs tailored to legal and compliance contexts. In this role, you will leverage your expertise in regulatory compliance, contract analysis, legal research, and dispute resolution to support the training of AI systems. You will collaborate with technical teams to refine annotation tools and curate impactful data, ensuring our models effectively capture real-world legal and compliance dynamics. This role requires adaptability, strong analytical skills, and a passion for driving innovation in a fast-paced environment. Responsibilities Utilize proprietary software to provide accurate input and labels for legal and compliance projects, ensuring high-quality data for AI model training. Deliver curated, high-quality data for scenarios involving regulatory compliance, contract analysis, legal research, and dispute resolution. Collaborate with technical staff to support the training of new AI tasks and contribute to the development of innovative technologies. Assist in designing and improving efficient annotation tools tailored for legal and compliance data. Select and analyze complex problems in legal and compliance fields aligned with your expertise to enhance AI model performance. Interpret, analyze, and execute tasks based on evolving instructions, maintaining precision and adaptability. Required Qualifications Professional experience in legal, compliance, or related fields (e.g., compliance officer, lawyer, paralegal, legal secretary, judicial law clerk, arbitrator, mediator, administrative law judge, court reporter, or title examiner). Proficiency in reading and writing informal and professional English. Strong communication, interpersonal, analytical, and organizational skills. Excellent reading comprehension and ability to exercise autonomous judgment with limited data. Passion for technological advancements and innovation in legal and compliance processes. Preferred Qualifications Relevant certification, license, or advanced training (e.g., JD, bar admission, Certified Compliance Professional, or similar legal/compliance certification). Experience mentoring or training others in legal or compliance practices. Comfort with recording audio or video sessions for data collection. Familiarity with AI or data annotation workflows in a technical setting. Location & Other Expectations This position is based in Palo Alto, CA (in-office, 5 days per week) or fully remote with strong self-motivation required. US-based candidates cannot be hired in Wyoming or Illinois at this time. Visa sponsorship is not available. Team members are expected to work from 9:00am - 5:30pm PST for the first two weeks of training, and 9:00am - 5:30pm in their own timezone thereafter. For remote work, candidates must use a Chromebook, Mac with macOS 11.0 or later, or Windows 10 or later, and have reliable access to a smartphone. Interview Process After submitting your application, our team will review your CV and statement of exceptional work. If your application advances, you will be invited to a 15-minute phone interview to discuss basic qualifications. Successful candidates will proceed to the main process, which includes: Technical deep-dive: Discussing your legal and compliance expertise and data annotation experience. A take-home challenge focused on legal or compliance data labeling or analysis. A meet-and-greet with the wider team. Our goal is to complete the main interview process within one week. Compensation $45/hour - $100/hour The posted pay range is intended for U.S.-based candidates and depends on factors including relevant experience, skills, education, geographic location, and qualifications. For international candidates, our recruiting team can provide an estimated pay range for your location. Benefits: Hourly pay is just one part of our total rewards package at xAI. Specific benefits vary by country, depending on your country of residence you may have access to medical benefits. We do not offer benefits for part-time roles.xAI is an equal opportunity employer. California Consumer Privacy Act (CCPA) Notice

false

Senior Content Marketer (Performance Content) About Durable:  Our mission at Durable is to make owning a business easier than having a job. Durable builds AI that does the work for you. Our goal is to own the DIFY (Do It For You) small business category. What is DIFY? It is a new category of technology that is faster and more cost effective than a human, and much easier to use than software. It is an AI first approach to solving customer problems. You don't need to learn new software. You don't need to read help docs. You don't need to learn how to prompt. You provide business context and feedback, and the work is done for you. We believe in a world where everyone is a business owner. Whether it's a full-time, part-time, or side hustle - we want to make it frictionless to start and operate a business. Since launching in late 2022, over 5 million websites have been built with our AI powered website builder. We are generating significant revenue, well-funded by Silicon Valley investors, and growing extremely fast. Our vision is much bigger, and we're looking for incredible people to join our team and make an impact. The role:  We need someone who turns words into revenue. You'll own all copy quality across our highest-impact surfaces – website, landing pages, ads, emails, and product. But this isn't about writing everything yourself. You're the AI conductor who gets machines to produce at volume, then uses your taste and data to pick what actually converts. You understand that in 2025, everyone has ChatGPT. The difference between companies that win and lose isn't who uses AI – it's who uses it better. You'll be our prompt engineering expert, teaching the entire team to get consistent, high-quality output from AI while maintaining the human judgment that turns good copy into brilliant copy. What you'll do: Improve conversion and click-through rates Own conversion copy across all touchpoints: website, landing pages, paid ads, email campaigns, and other marketing channels A/B test ruthlessly and make data-led decisions Optimize in-product copy to improve activation rates (the words inside our product matter as much as the marketing) Create high-value content that ranks in both Google and ChatGPT Scale with AI, not headcount Build and maintain a prompt library that allows you and the rest of the team to scale impact Lean into prompt engineering as a core skill Turn AI's 100 decent ideas into the 3 brilliant ones that drive action Create systems for consistent quality at 10x traditional volume Own the numbers Your North Star: visit-to-signup conversion rate Track copy performance religiously – what works, what doesn't, why Run weekly experiments, ship daily iterations If it's not moving MRR, you're not interested Build our competitive moat Work with internal and external subject matter experts to create content AI can't (with original data, research, ideas, and POVs) Come up with creative ways to inject original data, research, ideas, and POVs into our content so people and search engines cite and share it Interview successful entrepreneurs and customers and turn their stories into compelling, original content that inspires more to launch their own businesses What you bring:  AI expertise that allows you to 10x impact. You use AI to ship 10x faster than traditional marketers, but you know the difference between AI slop and content that converts. You have the taste to spot what's brilliant, the speed to iterate quickly, and the data obsession to prove what works. You treat prompts like product specs and can teach others to get the same results. You measure success in customers and cash, not clicks and impressions. Every piece of work you create has a clear path to revenue. You live for the dopamine hit of seeing conversion rate and search rank charts going up and to the right. You test fast, kill what doesn't work, and double down on what does. When something fails, you see data, not defeat. You thrive when the playbook doesn't exist yet. You take broad goals like "double our conversion rate" and figure out how to make it happen without being told each step. You pull in the right people, dig into the data, and ship something valuable while others are still planning. You ask forgiveness, not permission, when you spot an opportunity to drive growth. You're obsessed with our customers' success, not your own expertise. You understand that a solo landscaper trying to get their first 10 clients doesn't care about your marketing theories. You speak their language, feel their pain, and create solutions that actually solve their problems. You'd rather ship something useful today than something perfect next quarter. Additional Requirements: 8+ years crushing it in conversion copywriting and/or growth marketing You've doubled conversion rates before and can prove it You can explain complex AI concepts to a 12-year-old You've built something from scratch – a newsletter, a business, a community Why Join Us?  At Durable, we’re committed to creating an environment where you can thrive. Here’s what you can look forward to: Vancouver HQ: Based in Vancouver? Our Gastown HQ comes with jaw-dropping North Shore views. Many teammates come in on Mondays and Thursdays, but WFH is always an option when you need it. Comprehensive Benefits: Health and dental coverage to support your well-being. Home Office Stipend: Receive a stipend to create a comfortable and productive workspace. Professional Development: We support your growth with opportunities like conferences, courses, and speaking engagements. Team Events: Connect with your colleagues through retreats and team-building activities. Equipment: Start strong with a company-provided laptop and the tools you need to succeed. Location: Ideal candidates are based in Vancouver. We may consider those based remotely in Canada on a case-by-case basis.  Compensation: Base salary range $110,000-150,000 CAD, plus equity. This range is based on Vancouver, BC. Actual compensation is determined on a case-by-case basis and takes into account experience level and skillset.   

false

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 This teams' principal responsibility is to rapidly bring up state-of-the-art open-source models, frameworks and data engineering. Success in this role requires a system-minded generalist who thrives in fast-paced bringup environments and is comfortable working across the entire software stack. Your work will play a critical role in achieving unprecedented levels of performance, efficiency, and scalability for AI applications. Responsibilities Contribute to the end-to-end bring up of frameworks for RL, inference serving, ML models on Cerebras CSX systems. Work across the stack: model architecture translation, graph lowering, compiler optimizations, runtime integration, and performance tuning. Debug performance and correctness issues spanning model code, compiler IRs, runtime behavior, and hardware utilization. Propose and prototype improvements across tools, APIs, or automation flows to accelerate future bring ups. Skills & Qualifications Bachelor’s, Master’s, or PhD in Computer Science, Engineering, or a related field with 8 to 12 years’ experience. Comfort navigating the full AI toolchain: Python modelling code, compiler IRs, performance profiling, etc. Strong debugging skills across performance, numerical accuracy, and runtime integration. Experience with deep learning frameworks (e.g., PyTorch, TensorFlow) and familiarity with model internals (e.g., attention, MoE, diffusion). Proficiency in C/C++ programming and experience with low-level optimization. Strong background in optimization techniques, particularly those involving NP-hard problems. What We Offer Competitive salary and benefits package. Opportunities for professional growth and career advancement. A dynamic and innovative work environment. The chance to work on cutting-edge technologies and make a significant impact on the future of AI.  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.

false

About Us Symbolica is an AI research lab pioneering the application of category theory to enable logical reasoning in machines. We’re a well-resourced, nimble team of experts on a mission to bridge the gap between theoretical mathematics and cutting-edge technologies, creating symbolic reasoning models that think like humans – precise, logical, and interpretable. While others focus on scaling data-hungry neural networks, we’re building AI that understands the structures of thought, not just patterns in data. Our approach combines rigorous research with fast-paced, results-driven execution. We’re reimagining the very foundations of intelligence while simultaneously developing product-focused machine learning models in a tight feedback loop, where research fuels application. Founded in 2022, we’ve raised over $30M from leading Silicon Valley investors, including Khosla Ventures, General Catalyst, Abstract Ventures, and Day One Ventures, to push the boundaries of applying formal mathematics and logic to machine learning. Our vision is to create AI systems that transform industries, empowering machines to solve humanity’s most complex challenges with precision and insight. Join us to redefine the future of AI by turning groundbreaking ideas into reality.About the role We’re looking for a Python Software Engineer to take full ownership of building and shipping the core systems that power Symbolica’s applied AI products. This is a true generalist role: you’ll work across our SDK, developer libraries, server-side platform, integrations with inference providers, and applied AI features such as agent engineering, per-model optimizations, and context tuning.   Your work will directly shape the developer and user experience — from designing clean APIs and libraries that customers use every day, to building the backend systems and integrations that make it all reliable at scale. You’ll be the bridge between research prototypes and production-quality systems, helping turn cutting-edge ideas into tools that developers love.   📍 This is an onsite role based in our London office (66 City Rd).   Your focus Build, maintain, and improve Python-based systems across the stack: SDK, libraries, APIs, server-side platform, and integration layers. Work on applied AI engineering, including per-model optimisations, context tuning, and agent-related features. Design developer-facing tools and libraries that customers can use directly. Integrate with external inference providers to ensure reliability and scalability. Own projects end-to-end: clarify requirements, design, implement, test, and ship production-ready code. Collaborate with ML researchers and engineers to turn prototypes into robust, usable systems. Contribute to architecture discussions, code reviews, and best practices for building maintainable software. Continuously improve developer experience and system performance. About you 4+ years of professional software engineering experience, with Python as your primary language. Strong track record of delivering production-quality systems end-to-end. Proven ability to work from incomplete specs and drive projects to completion. High standards for code quality, testing, maintainability, and performance. Experience with ML infrastructure, applied AI systems, or developer tooling is a big plus. Thrive in fast-moving, ambiguous environments where priorities shift quickly. Ownership mindset: you see what needs doing and take responsibility for delivery. What we offer Competitive salary and early-stage equity package A high-trust, execution-first culture with minimal bureaucracy Direct ownership of meaningful projects with real business impact A rare opportunity to sit at the interface between deep research and real-world productisation We are able to sponsor a Skilled Worker visa for qualified candidates applying to this position. This specific role exceeds the minimum salary threshold set by the UK government for Skilled Worker visa sponsorship. Please note that English language proficiency at B2 level or higher is required for this role.Symbolica is an equal opportunities employer. We celebrate diversity and are committed to creating an inclusive environment for all employees, regardless of race, gender, age, religion, disability, or sexual orientation.

true

About HappyRobotHappyRobot is the AI-native operating system for the real economy—a system that closes the circuit between intelligence and action. By combining real-time truth, specialized AI workers, and an orchestrating intelligence, we help enterprises run complex, mission-critical operations with true autonomy.Our AI OS compounds knowledge, optimizes at every level, and evolves over time. We’re starting with supply chain and industrial-scale operations, where resilience, speed, and continuous improvement matter most—freeing humans to focus on strategy, creativity, and other high-value tasks. You can learn more about our vision in our Manifesto.HappyRobot has raised $62M to date, including our most recent $44M Series B in September 2025. Our investors include Y Combinator (YC), Andreessen Horowitz (a16z), and Base10—partners who believe in our mission to redefine how enterprises operate. We’re channeling this investment into building a world-class team: people with relentless drive, sharp problem-solving skills, and the passion to push limits in a fast-paced, high-intensity environment. If this resonates, you belong at HappyRobot.Role OverviewAs a Deployment Strategist, your mission is to connect the dots between user needs, data insights, and product capabilities to help our customers unlock value. You’ll dive deep into our customer operations, partner directly with end users and decision-makers, and shape how HappyRobot’s technology is applied to their most critical challenges.What You’ll doPartnering with customers to understand their workflows, goals, and pain points—often embedding directly with their teams.Collaborating with Forward Deployment Engineers to scope, prototype, and deliver solutions powered by HappyRobot’s platform.Identifying and interpreting key datasets that drive customer decision-making, and working to integrate them into robust, scalable pipelines.Designing and refining user workflows that solve meaningful problems and scale across teams and functions.Leading training and onboarding sessions, ensuring new users are set up for success and our tools have lasting impact.Presenting findings and strategy to stakeholders at all levels—from frontline operators to executives.Driving customer expansion by scoping new use cases and shaping how we grow our footprint within organizations.What We’re Looking ForWe’re looking for analytical, product-savvy problem solvers who thrive in ambiguity and care deeply about user impact. You might be a great fit if:You have a strong intuition for how software can solve real-world problems.You're a compelling communicator and can influence technical and non-technical audiences alike.You're excited to work shoulder-to-shoulder with customers, from the frontlines to the boardroom.You love diving into messy data, complex systems, and open-ended challenges—and delivering clarity and structure.Why join us?Opportunity to work at a high-growth AI startup, backed by top investors.Fast Growth - Backed by a16z and YC, on track for eight figure ARR.Ownership & Autonomy - Take full ownership of projects and ship fast.Comprehensive Benefits - Healthcare, dental, vision coverage.Top-Tier Compensation - Competitive salary + equity in a high-growth startup.Work With the Best - Join a world-class team of engineers and builders.Our Operating Principles Extreme Ownership We take full responsibility for our work, outcomes, and team success. No excuses, no blame-shifting — if something needs fixing, we own it and make it better. This means stepping up, even when it’s not “your job.” If a ball is dropped, we pick it up. If a customer is unhappy, we fix it. If a process is broken, we redesign it. We don’t wait for someone else to solve it — we lead with accountability and expect the same from those around us. Craftsmanship Putting care and intention into every task, striving for excellence, and taking deep ownership of the quality and outcome of your work. Craftsmanship means never settling for “just fine.” We sweat the details because details compound. Whether it’s a product feature, an internal doc, or a sales call — we treat it as a reflection of our standards. We aim to deliver jaw-dropping customer experiences by being curious, meticulous, and proud of what we build — even when nobody’s watching. We are “majos” Be friendly & have fun with your coworkers. Always be genuine & honest, but kind. “Majo” is our way of saying: be a good human. Be approachable, helpful, and warm. We’re building something ambitious, and it’s easier (and more fun) when we enjoy the ride together. We give feedback with kindness, challenge each other with respect, and celebrate wins together without ego. Urgency with Focus Create the highest impact in the shortest amount of time. Move fast, but in the right direction. We operate with speed because time is our most limited resource. But speed without focus is chaos. We prioritize ruthlessly, act decisively, and stay aligned. We aim for high leverage: the biggest results from the simplest, smartest actions. We’re running a high-speed marathon — not a sprint with no strategy. Talent Density and Meritocracy Hire only people who can raise the average; ‘exceptional performance is the passing grade.’ Ability trumps seniority. We believe the best teams are built on talent density — every hire should raise the bar. We reward contribution, not titles or tenure. We give ownership to those who earn it, and we all hold each other to a high standard. A-players want to work with other A-players — that’s how we win. First-Principles Thinking Strip a problem to physics-level facts, ignore industry dogma, rebuild the solution from scratch. We don’t copy-paste solutions. We go back to basics, ask why things are the way they are, and rebuild from the ground up if needed. This mindset pushes us to innovate, challenge stale assumptions, and move faster than incumbents. It’s how we build what others think is impossible.The personal data provided in your application and during the selection process will be processed by Happyrobot, Inc., acting as Data Controller.By sending us your CV, you consent to the processing of your personal data for the purpose of evaluating and selecting you as a candidate for the position. Your personal data will be treated confidentially and will only be used for the recruitment process of the selected job offer.In relation to the period of conservation of your personal data, these will be eliminated after three months of inactivity in compliance with the GDPR and legislation on the protection of personal data.If you wish to exercise your rights of access, rectification, deletion, portability or opposition in relation to your personal data, you can do so through security@happyrobot.ai subject to the GDPR.For more information, visit https://www.happyrobot.ai/privacy-policyBy submitting your request, you confirm that you have read and understood this clause and that you agree to the processing of your personal data as described.

true

Meet SienaSiena is the first intelligence layer for customer experience. We're creating an operating system of AI agents that learn, remember, and act across every customer touchpoint—from support conversations to shopping experiences to voice and social media interactions.Siena doesn't just automate support; it powers shopping agents, builds persistent customer memory, generates actionable business insights, and creates empathetic interactions that feel human. We're transforming how businesses understand and connect with their customers, turning every interaction into intelligence that makes the next one better.The teamWe're a small, distributed team that punches way above our weight. Every person here has outsized impact because we've built leverage into everything we do. This philosophy makes us faster and, frankly, more fun to work with.If you're excited about building something that doesn't exist yet, keep reading. We're building agents that don't just respond to customers—they remember them, learn from every interaction, and connect experiences across channels.About the roleYou'll lead the teams building the first intelligence layer for customer experience. This spans AI pipelines, evals, integrations, and multi-agent orchestration. Your job: turn ambitious product bets into reliable systems while keeping the team energized, aligned, and focused.We're looking for a leader with a builder's DNA who approaches the role like a founding team member would. You'll shape product decisions, drive technical strategy, empower your team to execute on high-impact projects, and play a pivotal role in scaling the team.You're not just excited about software—you're obsessed with building the best agentic operating system for customer experience.What you'll doBuild and lead high-velocity teams that ship fast and with polish.Be deeply technical and hands-on. Read the PRs, write prototypes, jump into the weeds. Leadership is an amplifier, not a step back.Turn raw ideas into working systems. Even if you have to duct tape the first version together.Rally your team through ambiguity, setbacks, and tough customer asks. Run through walls when needed.Push for clarity, focus, and high energy in every sprint. Drive urgency without burning people out.Drive alignment on the roadmap and become an expert on customer needs related to the product areas your team owns.Spend time with customers and engineers alike—digging into pain points, testing assumptions, and improving the craft.Coach, mentor, and build a team of curious, scrappy, driven engineers—people who want to grow fast and build great things.Foster an AI-first culture by showing, not telling, what AI enables for builders.Ensure engineering cycles produce real, reliable impact: accuracy improvements, integrations, and agent capabilities that delight customers.Translate Siena's vision into execution your team can rally behind.Grow engineering talent into leaders, making Siena's engineering team a career destination.What we're looking forYou've successfully led product-focused engineering teams in high-performing organizations that shipped real impact.You've written code at a high level, and you still love to get your hands dirty. You view leadership as an amplifier, not a step back.Bias for action and scrappiness. You don't over-optimize for process. You optimize for velocity, customer value, and learning.You deeply care about the customer experience. You think about UX, APIs, performance, edge cases, and joy.You ask "why" obsessively, and you push yourself (and your team) to learn constantly.You build trust, give direct feedback, and create space for engineers to thrive.You have experience partnering with recruiting teams to drive effective and fair hiring processes. You realize that recruiting is a large (and important!) part of your role.You have experience with systems complexity: LLMs, APIs, integrations, data pipelines, or event-driven products.Proven ability to drive clarity and culture across distributed teams.Why Siena?Meaningful impact. Your work directly shapes our product and company.Globally distributed team working at the bleeding edge of CX and AI.Great salary plus the opportunity for equity or stock grants.Learning budget. If you're growing, so are we.The thrill of building something new. Join us at a stage where your contributions matter most.AI-fluency. Make AI your second nature. Tackle unsolved problems. We’re redefining how customer experience will look like in the next decades.Our valuesThe people who thrive here are curious, customer-obsessed, and take ownership without being asked. They fix problems first and explain later. They're direct about feedback—both giving and receiving it—because they care more about getting things right than being polite. They maintain high standards while moving at startup speed, and they build real relationships with teammates because they know that's how great work gets done. When things get tough, they adapt and keep pushing forward.Our approach to AIThe people who thrive here treat AI like a natural extension of themselves. They've built their own ecosystem of agents - some for research, others for debugging, writing, analysis, or writing code. They know which AI works best for what problem.Everyone gets premium accounts (ChatGPT, Claude, Perplexity Pro, Cursor, Lovable) plus a quarterly budget for new tools. But the magic happens in how we share knowledge. Demo days where someone shows off a clever workflows. Slack threads about which model handles a specific use case better. Learning from each other's AI workflows.At Siena, we’re not just looking for people who can do a job. We’re looking for people who want to break boundaries, create the future, and reshape industries. If that’s you, we look forward to your application.Siena provides equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity, or gender expression. We are committed to a diverse and inclusive workforce and welcome people from all backgrounds, experiences, perspectives, and abilities.

true

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.About the Role: Glean is seeking a talented AI Outcomes Manager to join our rapidly expanding team. The AI Outcomes Manager will play a crucial role in transforming how every department works, with the power of Glean. They will work closely with executives and end users, combining business acumen, product sense, and prompting skills to help them transform into an AI-native enterprise. You will: Engage with executive sponsors and provide strategic reviews and consult customers on developing and executing on their AI roadmap Deeply comprehend Glean's suite of products, ensuring the ability to best help customers get the most out of the Glean platform Conduct use case discovery workshops and turn those use cases into tangible outcomes  Collaborate internally with Product and R&D to help shape Glean’s product roadmap based on the voice of our users  Proactively identify opportunities to expand Glean’s deployment and enhance customer engagement About you: 2+ years of professional experience  Hungry, curious, and consultative mindset Strong problem-solving skills with the ability to adapt to different users and scenarios Proven understanding and ability to write complex prompts  Ability to understand various user types and convey a sense of the most valuable applications of AI in diverse job functions Excellent communication skills to effectively interact with multiple stakeholder groups Product sense and ability to drive a product’s full potential capabilities Good to have: Customer presence: ability to work with any level from individual contributors to CEOs Prior experience in consultative roles, solutions engineering, support, or product management Location: London, United Kingdom This role is remote #LI-Remote

true

About Arize AI is rapidly transforming the world. As generative AI reshapes industries, teams need powerful ways to monitor, troubleshoot, and optimize their AI systems. That’s where we come in. Arize AI is the leading AI & Agent Engineering observability and evaluation platform, empowering AI engineers to ship high-performing, reliable agents and applications. From first prototype to production scale, Arize AX unifies build, test, and run in a single workspace—so teams can ship faster with confidence. We’re a Series C company backed by top-tier investors, with over $135M in funding and a rapidly growing customer base of 150+ leading enterprises and Fortune 500 companies. Customers like Booking.com, Uber, Siemens, and PepsiCo leverage Arize to deliver AI that works.Note: The nature of this role requires candidates to be based in the Buenos Aires area, though there isn't an in-office requirement. The Opportunity We’re looking for an Application Engineer who thrives on solving hard problems with code. In this role, you'll have the opportunity to work at the cutting edge of generative AI in a high-impact role with autonomy and ownership. What You’ll Do Debug and fix issues in our platform (and ship PRs with your fixes). Build internal tools and copilots powered by generative AI to supercharge our team. Rapidly prototype proof-of-concepts for customer use cases. Work across Engineering, Product, and Solutions to unblock customers and push the boundaries of AI adoption. What We’re Looking For You have 2-5 years of experience in software. Strong in Python and Golang; comfortable shipping fixes in production systems. Hands-on with generative AI (LLM APIs, frameworks, building copilots or automations) Hands-on with OpenTelimetry and deep familiarity with distributed tracing concepts. Familiarity with AI frameworks (CrewAI, Langchain, Langgraph, DiFy, LiteLLM, etc). Familiarity or eagerness to learn JavaScript/TypeScript. Great debugger, creative problem solver, and fast learner. Independent and resourceful. You create solutions, not dependencies. Bonus Points (but not required!) Experience in a customer-facing role Built copilots, plugins, or custom GenAI-powered applications. Open-sourced or contributed PRs to real codebases. Startup or fast-moving environment experience. Actual compensation is determined based upon a variety of job related factors that may include: transferable work experience, skill sets, and qualifications. Total compensation also includes unlimited paid time off, generous parental leave plan, and others for mental and wellness support.More About Arize Arize’s mission is to make the world’s AI work—and work for people. Our founders came together through a shared frustration: while investments in AI are growing rapidly across every industry, organizations face a critical challenge—understanding whether AI is performing and how to improve it at scale. Learn more about what we're doing here: https://techcrunch.com/2025/02/20/arize-ai-hopes-it-has-first-mover-advantage-in-ai-observability/ https://arize.com/blog/arize-ai-raises-70m-series-c-to-build-the-gold-standard-for-ai-evaluation-observability/ Diversity & Inclusion @ Arize Our company's mission is to make AI work and make AI work for the people, we hope to make an impact in bias industry-wide and that's a big motivator for people who work here. We actively hope that individuals contribute to a good culture Regularly have chats with industry experts, researchers, and ethicists across the ecosystem to advance the use of responsible AI Culturally conscious events such as LGBTQ trivia during pride month We have an active Lady Arizers subgroup

false

Mutiny Overview Mutiny is building a first-class agentic GTM platform that unifies sales and marketing to help companies close enterprise deals faster. Our customers are enterprise marketing and sales teams who face a fundamental challenge: what works isn’t scalable, and what’s scalable doesn’t work. Mutiny is solving this by combining AI agents, creative workflows, and deep integrations to deliver personalized marketing and sales experiences at scale. Our customers include some of the fastest-growing B2B companies—Uber, Amplitude, Qualtrics, and LaunchDarkly. We are backed by Sequoia Capital, Tiger Global, Insight Partners, and Y Combinator. About the Role We’re looking for a Senior Product Designer to join our Workflows Team in New York. You’ll own the design of our Campaign Builder and Creative Agent experiences—core surfaces that let marketers and sellers generate, edit, and launch personalized campaigns across accounts. This role is central to how Mutiny brings our agentic vision to life: helping enterprise teams go from idea to personalized assets with speed, trust, and quality. You’ll partner closely with PM, Eng, and other designers to define the end-to-end experience—from conversational AI collaboration to guardrails for brand consistency. 📍 This role is based in NYC and requires being in-person 5 days a week. What You’ll Do Lead design for the Asset Builder and Creative Agent workflows, balancing AI automation with marketer oversight Translate complex enterprise user needs (ABM, demand gen, sales collaboration) into intuitive flows that feel simple and empowering Design experiences that scale—from 1:1 account personalization to 1:many campaigns—while maintaining quality and trust Collaborate with PMs, engineers, and other designers to prototype, validate, and ship new features quickly Establish design patterns and systems that unify co-pilot chat, visual editing, and approval workflows Advocate for the end user, ensuring every change is checked against the full flow and end-to-end experience What We’re Looking For 5+ years of product design experience, ideally in SaaS or enterprise tools Strong portfolio demonstrating thoughtful UX for complex workflows and creative tools Ability to design for AI-driven experiences: balancing automation, transparency, and human control Comfort working from 0→1: shaping ambiguous problem spaces into clear, elegant solutions Excellent collaboration and communication skills—you thrive in cross-functional teams Bonus: experience designing for marketing, sales, or creative platforms Bonus: technical literacy; experience with vibe coding and a broad set of AI tools Why Join Mutiny Impact: Your work will shape the core creative workflows that define our product strategy for the next 18 months. Velocity: We move fast, ship often, and learn directly from enterprise customers. Collaboration: Partner with a high-caliber, supportive team committed to building the future of enterprise GTM. Growth: Be part of a fast-scaling startup where design has a seat at the table and drives product direction. Hiring Process Our process typically takes 2–3 weeks end-to-end. Hiring Manager Screen (30 min): Chat with our Head of Design about your past work, design approach, and what you’re looking for in your next role. Design Exercise: Async Loom walkthrough of 2 projects (5–10 min) 45 min live portfolio deep dive with panel Cross-Functional Interviews (3 x 45 min): With your PM counterpart, Engineering counterpart and a member of our CX team. Executive Interview: A final conversation with Jaleh (CEO & Cofounder) before making things official. Our Values 😜 Work should feel like play 🏃 Faster always wins 🍯 Stir the pot, regularly 👀 Do the right thing when no one’s watching 🛥 All hands on deck 🌎 Live in the world you want to change We are committed to empowering individuals of all backgrounds, experiences, and identities to reach their potential. We believe in balanced teams, which is why we have maintained a 50% male-to-female ratio in our investors and are committed to maintaining diversity of gender, lifestyle, ethnicity, and thinking in our team as we scale. Compensation We offer a competitive package including base salary, equity, and full benefits. The estimated salary range for this role is $155,000–$190,000, depending on experience. Additional Benefits Flexible paid time off Generous parental leave 100% medical, dental, and vision coverage Lunch provided daily in our NYC office Office-first culture with a vibrant HQ in Flatiron/Union Square H1-B sponsorship available Mutiny does not accept agency-submitted candidates for this posting. #LI-MT1

false

Applications will be reviewed on a rolling basis. We encourage candidates to apply early. The application window will close on October 31stAbout Handshake AIHandshake is building the career network for the AI economy. Our three-sided marketplace connects 18 million students and alumni, 1,500+ academic institutions across the U.S. and Europe, and 1 million employers to power how the next generation explores careers, builds skills, and gets hired.Handshake AI is a human data labeling business that leverages the scale of the largest early career network. We work directly with the world’s leading AI research labs to build a new generation of human data products. From PhDs in physics to undergrads fluent in LLMs, Handshake AI is the trusted partner for domain-specific data and evaluation at scale.This is a unique opportunity to join a fast-growing team shaping the future of AI through better data, better tools, and better systems—for experts, by experts.Now’s a great time to join Handshake. Here’s why:Leading the AI Career Revolution: Be part of the team redefining work in the AI economy for millions worldwide.Proven Market Demand: Deep employer partnerships across Fortune 500s and the world’s leading AI research labs.World-Class Team: Leadership from Scale AI, Meta, xAI, Notion, Coinbase, and Palantir, just to name a few.Capitalized & Scaling: $3.5B valuation from top investors including Kleiner Perkins, True Ventures, Notable Capital, and more.About the RoleHandshake AI builds the data engines that power the next generation of large language models. Our research team works at the intersection of cutting-edge model post-training, rigorous evaluation, and data efficiency. Join us for a focused Summer 2026 internship where your work can ship directly into our production stack and become a publishable research contribution. To start between May and June 2026.Projects You Could TackleLLM Post-Training: Novel RLHF / GRPO pipelines, instruction-following refinements, reasoning-trace supervision.LLM Evaluation: New multilingual, long-horizon, or domain-specific benchmarks; automatic vs. human preference studies; robustness diagnostics.Data Efficiency: Active-learning loops, data value estimation, synthetic data generation, and low-resource fine-tuning strategies.Each intern owns a scoped research project, mentored by a senior scientist, with the explicit goal of an archive-ready manuscript or top-tier conference submission.Desired CapabilitiesCurrent PhD student in CS, ML, NLP, or related field.Publication track record at top venues (NeurIPS, ICML, ACL, EMNLP, ICLR, etc.).Hands-on experience training and experimenting with LLMs (e.g., PyTorch, JAX, DeepSpeed, distributed training stacks).Strong empirical rigor and a passion for open-ended AI questions.Extra CreditPrior work on RLHF, evaluation tooling, or data selection methods.Contributions to open-source LLM frameworks.Public speaking or teaching experience (we often host internal reading groups).#LI-AG3

false

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Team The Security Engineering team's mission is to safeguard our AI systems and maintain the trust of our users and society at large. Whether we're developing critical security infrastructure, building secure development practices, or partnering with our research and product teams, we are committed to operating as a world-class security organization and keeping the safety and trust of our users at the forefront of everything we do. Responsibilities: Build security for large-scale AI clusters, implementing robust cloud security architecture including IAM, network segmentation, and encryption controls Design secure-by-design workflows, secure CI/CD pipelines across our services, help build secure cloud infrastructure, with expertise in various cloud environments, Kubernetes security, container orchestration and identity management Ship and operate secure, high-reliability services using Infrastructure-as-Code (IaC) practices and GitOps workflows Apply deep expertise in threat modeling and risk assessment to secure complex cloud environments Mentor engineers and contribute to hiring and growth of the Security team You may be a good fit if you have: 5-15+ years of software engineering experience implementing and maintaining critical systems at scale Bachelor's degree in Computer Science/Software Engineering or equivalent industry experience Strong software engineering skills in Python or at least one systems language (Go, Rust, C/C++) Experience managing infrastructure at scale with DevOps and cloud automation best practices Track record of driving engineering excellence through high standards, constructive code reviews, and mentorship Proven ability to lead cross-functional security initiatives and navigate complex organizational dynamics Outstanding communication skills, translating technical concepts effectively across all organizational levels Demonstrated success in bringing clarity and ownership to ambiguous technical problems Strong systems thinking with ability to identify and mitigate risks in complex environments Low ego, high empathy engineer who attracts talent and supports diverse, inclusive teams Experience supporting fast-paced startup engineering teams Passionate about AI safety and alignment, with keen interest in making AI systems more interpretable and aligned with human values Strong candidates may also: Designing and hardening CI/CD pipelines against supply chain attacks through isolated environments, signed attestations, dependency verification, and automated policy enforcement Building secure development workflows through hardened remote environments Implementing network segmentation and access controls in cloud environments Managing infrastructure through automated configuration and policy enforcement Hardening containerized applications and enforcing security policies Deadline to apply: None. Applications will be reviewed on a rolling basis. The expected base compensation for this position is below. Our total compensation package for full-time employees includes equity, benefits, and may include incentive compensation.Annual Salary:$300,000—$405,000 USDLogistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process