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What We Do Gecko Robotics is helping the world’s most important organizations ensure the availability, reliability, and sustainability of critical infrastructure. Gecko's complete and connected solutions combine wall-climbing robots, industry-leading sensors, and an AI-powered data platform to provide customers with a unique window into the current and future health of their physical assets. This enables real-time decision making to increase the efficiency and safety of operations, promote mission readiness, and protect the environment and civilization from the effects of infrastructure failure.Role at a Glance Our Forward Deployed Engineers are not support engineers, they’re builders. This is not your typical software engineering role. We are on the ground, shoulder to shoulder with our clients - whether it's working on predictive maintenance on US Navy ships, aiding the Air Force or sitting in on a boiler inspection - we are the first line of defense in solving these hard hitting problems. We are not afraid to pick up new technologies and will use whatever tool we have in our toolbox to create change. When our priorities shift, we shift with them. We don’t just speak to our clients about their problems, we travel (often) to their sites to see first hand what they are experiencing. We are impact makers - game changers. We are leveraging data and insight from team members across Gecko to build the best possible solution for our clients. Are you ready to join us?Technologies We UsePython, JavaScript, ReactGoogle Cloud, Amazon Web ServicesWhat you will doSolve Real Problems: We search for the highest impact problems we can find, we spend a lot of time with our customers to understand their true nature, we come up with new ways, and we don’t quit until we’ve reached impact. Growth: The problems we work on are hard. No one has yet solved them. We are constantly learning and trying - and that includes learning about ourselves. We are a group who loves to grow - even if it requires hard work to do so.About YouBachelor’s degree in fields such as Computer Science, Computer Engineering Mathematics, Software Engineering, Physics, Mechanical Engineering, Electrical Engineering, or relevant experience. Familiarity with data structures, storage systems, cloud infrastructure, front-end frameworks, and other technical tools.Understanding of how technical decisions impact the user of what you’re building.Proficiency with programming languages such as Java, C++, Python, JavaScript, or similar languages.Ability to work effectively in teams of technical and non-technical individuals.Skill and comfort working in a rapidly changing environment with dynamic objectives and iteration with users.Demonstrated ability to continuously learn, work independently, and make decisions with minimal supervision.Willingness and interest to travel as needed up to 50%.Who We AreAt Gecko, our people are our greatest investment. In addition to competitive compensation packages, we offer company equity, 401(k) matching, gender-neutral parental leave, full medical, dental, and vision insurance, mental health and wellness support, ongoing professional development, family planning assistance, and flexible paid time off. Gecko values collaboration, innovation, and partnership, and we believe we do our best work when we're together in person. We’re an office-first culture but understand that sometimes you may need to work from home. Many people are in the office five days a week, others need a bit more flexibility. Ultimately, we care about the outcomes we achieve - and creating a culture of autonomy and trust that enables that impact.Gecko is committed to creating a culture of inclusion and belonging, and we are proud to be an equal opportunity employer.  We believe it is our collective responsibility to uphold these values and encourage candidates from all backgrounds to join us in our mission to protect today’s infrastructure and give form to tomorrow’s. All qualified applicants will be treated with respect and receive equal consideration for employment without regard to race, color, creed, religion, sex, gender identity, sexual orientation, national origin, disability, uniform service, veteran status, age, or any other protected characteristic per federal, state, or local law. If you are passionate about what you do and want to use your talents to support our critical mission, we’d love to hear from you.

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About BasisBasis equips accountants with a team of AI agents to take on real workflows.We have hit product market fit, have more demand than we can meet, and just raised $34m to scale at a speed that meets this moment.Built in New York City. Read more about Basis here.About the TeamWe’re building product experiences where an AI Accountant feels like a capable partner—making complex accounting workflows simple, safe, and trustworthy. That’s our north star.LLMs put general intelligence inside software, which breaks old product patterns. We’re not building chatbots; we’re designing new human–AI interfaces for real work. Just as mobile-first demanded new UI logic, this paradigm demands new architectures, abstractions, and systems of reasoning.We work from first principles in small, fast loops, partnering closely with Accounting SMEs, Design, PM, Research, and Platform. We think in systems, prize crisp abstractions and interfaces, and write code that’s observable, operable, and easy for both humans and AI agents to reason about.About the roleAs a Tech Lead on the Product Engineering team, you’ll hold the technical vision for a product surface or workflow—owning its architecture, quality, and evolution. You’ll define how we build, teach others how to build well, and ensure that every product line you touch is both robust and legible.Your focus is on technical clarity and architectural excellence: turning ambiguous product ideas into clean, scalable systems that integrate tightly with our ML stack. You’ll lead by example—through code, reviews, and crisp technical reasoning.You’ll partner with product folks, designers, and accountants to scope what matters most, then lead the technical path to get there.📍 Location: NYC, Flatiron office. In-person team.What You'll Be Doing: 1. Hold and evolve the product’s technical architectureDefine and own the architecture for your product area—APIs, clients, data flows, and observability.Make sure our systems are legible: clean boundaries, explicit states, and deterministic behavior.Run design and PR reviews that raise the bar for structure, performance, and maintainability.Make technical trade-offs explicit; document reasoning so decisions compound over time.2. Ship products that integrate intelligence with precisionBuild interfaces and workflows that blend human input and AI reasoning seamlessly.Architect APIs and services that connect product features with ML systems (retrieval, evals, context).Ensure systems are instrumented—telemetry, evals, logging—so success is measurable and regressions are visible.Keep abstractions clean and “AI-able”: clear contracts, predictable state, no hidden behavior.3. Lead through teaching and clarityMentor engineers on design, code quality, and system thinking through specs, pairing, and reviews.Model clear technical writing—every doc, PR, and review should improve how the team thinks.Establish conventions that make the codebase coherent and maintainable as we scale.Partner with cross-functional teams to translate business context into simple, testable technical plans.What you’ll bring:5+ years of full-stack or product engineering experience; open to exceptional candidates with varied backgrounds.Strong foundations in API design, front-end systems, and reliable backend services.Practical experience integrating LLMs or ML capabilities into product workflows.Deep comfort reasoning about product architecture, data flows, and system design trade-offs.Proven ability to turn ambiguous product goals into clean, iterative engineering plans.Excellent written and verbal communication; your specs and PRs are models of clarity.What we’d love to see:Experience with TypeScript/React, Python, and Postgres.Familiarity with evaluation frameworks, telemetry, and instrumentation.Exposure to accounting, finance, or other workflow-heavy domains.Prior experience in high-velocity environments (startups or similar).A bias toward simplicity, clarity, and architectural legibility.What Success Looks LikeArchitect: The systems you design are stable, extensible, and easy for others to understand.Teacher: Engineers working with you learn to reason more clearly and design better code.Integrator: Product, ML, and platform systems align cleanly through your abstractions.Force multiplier: You unblock others, raise quality bars, and accelerate execution without slowing the team down.Builder: You operate with clarity, conviction, and care—balancing iteration and craftsmanship.In accordance with New York State regulations, the salary range for this position is $100,000–$300,000. This range represents our broad compensation philosophy and covers various responsibility and experience levels. Additionally, all employees are eligible to participate in our equity plan and benefits program. We are committed to meritocratic and competitive compensation.

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Dataiku is The Universal AI Platform™, giving organizations control over their AI talent, processes, and technologies to unleash the creation of analytics, models, and agents. Providing no-, low-, and full-code capabilities, Dataiku meets teams where they are today, allowing them to begin building with AI using their existing skills and knowledge.The role of a Data Scientist at Dataiku is quite unique. Our Data Scientists not only code up solutions to real-world problems, but also participate in client-facing endeavours throughout the customer journey. This includes supporting their discovery of the platform, helping integrate Dataiku with other tools and technologies, some user training, and co-developing data science projects from design to deployment. Just as non-technical skills are important, so too are technical skills. Our Data Scientists work on the Dataiku platform every day. Aside from the visual tools, our team primarily uses Python and SQL, with occasional work in other languages (e.g., R, PySpark, JavaScript). An ideal candidate is excited to learn complex new technologies and modelling techniques while being able to explain their work to other data scientists and clients. In this role, you'll help the team: Co-develop production-level data science projects with our customers Analyse and investigate various kinds of data and machine learning applications across industries and use cases Help users discover and master the Dataiku platform, via user trainings, office hours, and ongoing consultative support Provide data science expertise both to customers and internally to Dataiku’s sales and marketing teams Develop custom Python-based “plugins” in collaboration with Solutions, R&D, and Product teams, to enhance Dataiku’s functionality You might be a good fit for the role if you have: Curiosity and a desire to learn new topics and skills Empathy for others and an eagerness to share your knowledge and expertise with your colleagues, Dataiku’s customers, and the general public The ability to clearly explain complex topics to technical as well as non-technical audiences 2 - 10 years of experience with Python and SQL 2 - 10 years of experience with building ML models and using ML tools (e.g., sklearn) Familiarity with data visualisation in Python, R Understanding of underlying data systems such as Cloud architectures, Hadoop, or SQL Technical skills that may help you in the role: Experience with Consulting and/or Customer-facing Data Science roles Experience with Data Engineering or MLOps Experience developing WebApps in Javascript, RShiny, or Dash Experience building APIs Experience using enterprise data science tools Passion for teaching or public speaking   What are you waiting for! At Dataiku, you'll be part of a journey to shape the ever-evolving world of AI. We're not just building a product; we're crafting the future of AI. If you're ready to make a significant impact in a company that values innovation, collaboration, and your personal growth, we can't wait to welcome you to Dataiku! And if you’d like to learn even more about working here, you can visit our Dataiku LinkedIn page.   Our practices are rooted in the idea that everyone should be treated with dignity, decency and fairness. Dataiku also believes that a diverse identity is a source of strength and allows us to optimize across the many dimensions that are needed for our success. Therefore, we are proud to be an equal opportunity employer. All employment practices are based on business needs, without regard to race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. This applies to all policies and procedures related to recruitment and hiring, compensation, benefits, performance, promotion and termination and all other conditions and terms of employment. If you need assistance or an accommodation, please contact us at: reasonable-accommodations@dataiku.com     Protect yourself from fraudulent recruitment activity Dataiku will never ask you for payment of any type during the interview or hiring process. Other than our video-conference application, Zoom, we will also never ask you to make purchases or download third-party applications during the process. If you experience something out of the ordinary or suspect fraudulent activity, please review our page on identifying and reporting fraudulent activity here.

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Location 📍: San Francisco, United States (Hybrid - 3 Days In Office)About Us 🚀At Relevance AI, our mission is to empower anyone to delegate work to the AI workforce.We’re building a new type of automation platform, for anyone to create and use AI agents that can replicate human quality work, decision making and collaboration.We are scaling fast to meet unprecedented customer demand and we need exceptional talent to help us grow. If you’re ready to be part of a trailblazing company at the cutting edge of AI, this is the place for you.The Role 🥳We are open to individuals across varied experience levels in pre/ post-sales roles, this role will be a mix of post and pre sales. As an AI Agent Solutions Engineer at Relevance AI, your role will be critical in helping our Enterprise customers leverage AI agents to solve core business problems. Using our low-code/ no-code platform, you will get the opportunity to co-design, architect and develop production-grade AI agents at Enterprise scale. You will also be an evangelist and enabler of our technology, driving technical success and product adoption. This is an exciting opportunity for someone passionate about agentic AI, creative problem-solving, and working directly with customers to transform their businesses with intelligent automation.This role is part of our continuous growth. We practice always-on hiring as we scale the Solutions Engineering team, and we regularly add exceptional talent to join our expanding team.Your impact💥Your work will involve both engineering excellence and close customer collaboration, bridging product strategy with real-world impact. Key responsibilities include:Engaging with customer stakeholders. technical and executive. to identify high-impact automation opportunities and guide AI agent adoption across pre- and post-sales phases.Delivering compelling, tailored presentations and demonstrations that showcase the business value and operational impact of AI agents.Conducting in-depth discovery sessions to assess and understand customer requirements as well as their deepest pain points.Designing and developing tailored AI agents that solve real business problems, ensuring operational fit, scalability, and measurable value.Lead customer enablement through hands-on training, onboarding, and ongoing support to drive self-sufficiency on the Relevance AI platform.Act as a strategic partner, influencing product direction through customer insights while identifying opportunities for deeper integration and growth.What We’re Looking For 🧠Highly accomplished experience in solutions engineering/ architecture, technical consulting, forward-deployed engineering or similar roles at the intersection between customers and product.Engineering mindset and strong technical foundations. You will need to be comfortable working with APIs. Experience with Python/ Gen AI/ LLMs is highly valued.Ability to translate business needs into technical solutions and communicate complex concepts to non-technical stakeholders.Experience building demo environments and productionising use-cases on low-code SaaS platforms and/or AI solutions. Proven customer-facing skills with a track record of driving technical value and success with Enterprise customers in fast paced environments.Passion for AI and its real-world applications, with a customer-first mindset and a drive for continuous learning.Why Join Us? 🌟Work at the forefront of AI with a nimble team that is constantly pushing boundaries. We encourage and celebrate ideas that drive our mission forward.We're guided by our five values: truth-seeking, being empathetic, putting the customer first, iterate extremely fast, and building memories.We’ve set high standards in our high-trust environment—we hire exceptional people to do great work. In return, we reward our people with competitive salaries, unparalleled professional growth and career-defining opportunities.Relevance AI is well-funded by leading investors, including Insights Partners, Peak XV, King River Capital.As an early team member, you’ll play a key role in shaping our future—including our culture, ways of working, and even the benefits we offer. We’re laying the foundations now, and your ideas can help define what comes next.Benefits ✨🩺 Health Insurance Contribution – Relevance AI contributes to the cost of individual medical, dental, and vision insurance for employees.🚍 Commuter Benefits – Save on your commute with pre-tax deductions for transit and parking expenses🏖️ Unlimited Annual Leave – Flexible time off policy to rest, recharge, and take care of what matters most📈 ESOP – Employee Stock Ownership Plan so you can grow with the company🤖 AI Productivity Benefit – Get up to $1200 USD/year to spend on AI tools, courses, and learning resources that help you work smarter and grow your skills👶 Parental Leave – We offer 12 weeks of paid parental leave for all eligible new parents🎉 Milestone Merch – Celebrate your work anniversaries with customised Relevance AI swag🍱 Team Meals – Enjoy free Friday lunches, Uber Eats dinners, and regular catered office lunches🪩 Quarterly Team Events – Build stronger connections through fun, meaningful team bonding experiences every quarter🏓 Social Clubs – Share your hobbies and interests by joining or starting a club with your teammates. A few clubs we already have are hiking, chess, and board game nights. We also have a social committee you can join—new ideas are always welcome!🍿 Snacks & Drinks Galore – Stay energised with a wide selection of snacks and a fully stocked fridge of drinks in the office🌐 Community Events – As the home of the AI workforce, we regularly host events featuring thought leaders, industry partners, and the wider community—right at our office, so you can join straight after work🧠 Sonder EAP – Access 24/7 mental health and wellbeing support through Sonder, our Employee Assistance ProgramWork Authorization: At this time, we are not able to sponsor visas or transfer immigration status for candidates applying to U.S.-based roles. You must be authorized to work in the United States without current or future sponsorship.

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About Sana We're on a mission to revolutionize how humans access knowledge through artificial intelligence. Throughout history, breakthroughs in knowledge sharing—from the Library of Alexandria to the printing press to Google—have been pivotal drivers of human progress. Today, as the volume of human knowledge grows exponentially, making it accessible and actionable remains one of humanity's most critical challenges. We're building a future where knowledge isn't just more accessible—it's a catalyst for achieving the previously impossible. If all of this sounds exciting, you’re in the right place. About the role As an Infrastructure Engineer, you will support our engineering teams by building and maintaining the technical foundation that enables our products to scale. You'll work on cloud infrastructure, deployment systems, and developer tooling, serving as a technical partner to other engineering teams while focusing on reliability and performance.In this role, you willBe the backbone of our ambitious goals, ensuring our infrastructure is robust and scalable. Support feature development teams with infrastructure decisions and deployments.Act as Site Reliability Engineer (SRE) and continuously enhance our Developer Experience (DX).Design and implement scalable cloud infrastructure solutions.Your background looks something likeProficiency in both backend engineering and cloud-based deployments.Experience with highly available, scalable, and extensible backend systems.Proficiency in GCP, and Kubernetes.Track record of supporting development teams with infrastructure solutionsUnderstanding of site reliability engineering principles. What We OfferHelp shape AI's future alongside brilliant minds from Notion, Dropbox, Slack, Databricks, Google, McKinsey, and BCG.Competitive salary complemented with a transparent and highly competitive options program.Swift professional growth in an evolving environment, supported by a culture of continuous feedback and mentorship from senior leaders.Work with talented teammates across 5+ countries, and collaborate with customers globallyRegular team gatherings and events (recently in Italy and South Africa)

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GAQ426R246 We are looking for a highly skilled, technology and business-savvy Lead Security Architect to join our team within Databricks IT. In this dynamic, fast-paced environment, you will be responsible for designing and implementing a secure and scalable architecture to protect our corporate assets. You'll focus on key areas of IT security, including Identity and Access Management, Zero Trust architecture, and endpoint security, while also working to secure critical business applications and sensitive data. Your expertise will be crucial in building proactive security strategies that align with our business goals and protect the company from an ever-evolving threat landscape. This position demands deep expertise in security principles and a comprehensive understanding of the entire infrastructure stack and IAM systems to design robust, future-ready security solutions. You will be instrumental in safeguarding our systems' resilience and integrity against ever-evolving cyber threats. You will play a critical role in shaping our security strategy for modern platforms across AWS, Azure, GCP, network infrastructure, storage, and SaaS solutions, help establish a strong least privilege (PoLP) model, providing specialized IAM expertise, and securely supporting SaaS with sensitive information (NHI). You will also be a key contributor in building our internal strategy for secure AI development. Additionally, you will support the secure integration of SaaS platforms such as Google Workspace, collaboration tools, and GTM systems, maintaining alignment with enterprise security standards. Close collaboration with cross-functional teams is essential to embed security throughout the technology stack. The impact you will have: What You Will Do:  Design and implement secure, scalable reference architectures for the Databricks IT across Cloud Infra (Compute, DBs, Network, Storage), SaaS, Custom Built Applications, Data & AI systems. Establish and enforce security controls for: Core Security Areas: Databricks Workspace Management: Workspace isolation, Unity Catalog for data governance. Secure Networking: VPC configs, PrivateLink, IP Allow Lists. Identity and Access Management (IAM): SSO, SCIM user provisioning, RBAC via Un, Strong MFA best practices for enterprise identities and customers Data Encryption: At rest and in transit, customer-managed keys for critical assets. Data Exfiltration Prevention: Admin console settings, VPC endpoint controls. Cluster Security: User isolation, compliance with enhanced security monitoring/Compliance Security Profiles (HIPAA, PCI-DSS, FedRAMP). Offensive Security: Test and challenge the effectiveness of the organization’s security defenses by mimicking the tactics, techniques, and procedures used by actual attackers. Specialized Security Functions: Non-human Identity Management: Design and implement secure authentication and authorization for automated systems (service accounts, API keys, machine identities), focusing on automation and integration with existing identity management systems. IAM Best Practices: Develop and document comprehensive Identity and Access Management policies, including user provisioning, de-provisioning, access reviews, privileged access management, and multi-factor authentication, ensuring security and compliance. Data Loss Prevention (DLP): Implement DLP solutions to identify, monitor, and protect sensitive data across endpoints, networks, and cloud environments, preventing unauthorized access, use, or transmission. SaaS Proxy Design and Implementation: Design and implement cloud-based proxies for SaaS applications (SASE solutions) to provide secure access, enforce security policies, monitor user activity, and protect against threats. Cloud Infrastructure Best Practices: Establish and document best practices for VPC configurations, cloud networking, and infrastructure as code using Terraform, ensuring secure network segmentation, routing, firewalls, and VPNs for consistent, automated, and secure deployments. Least Privilege Access for Data Security: Design and implement data security controls based on the principle of least privilege, ensuring users and systems have only the minimum necessary access through fine-grained controls, data classification, and regular access reviews. Guide internal IT on Databricks’ security and compliance certifications (SOC 2, ISO 27001/27017/27018, HIPAA, PCI-DSS, FedRAMP), and support security reviews/audits. Support incident response, vulnerability management, threat modeling, and red teaming using audit logs, cluster policies, and enhanced monitoring. Stay current on industry trends and emerging threats in GenAI, AI Agentic flow, MCPs to enhance security posture. Advise executive leadership on security architecture, risks, and mitigation. Mentor security engineers and developers on secure design and best practices. What we look for: Bachelor’s degree in Computer Science, Information Security, Engineering, or a related field Master’s degree in Computer Science specifically in Information Security or a related discipline is strongly preferred Minimum 12 years in cybersecurity, with 5+ in security architecture or senior technical roles. Experience in FedRAMP High systems/ GovCloud preferred. Must have direct experience designing and securing enterprise platforms in complex multi-cloud environments, deep knowledge of enterprise architecture and security features (control plane/data plane separation, network infra, workspace hardening, network segmentation/ isolation), and hands-on experience automating security controls with Terraform and scripting. Proven expertise securing data analytics pipelines, SaaS integrations, and workload isolation in enterprise ecosystems. Experience with Enterprise Security Analysis Tools and monitoring/security policy optimization. Deep experience in threat modeling, design, PoC, and implementing large-scale enterprise solutions. Extensive hands-on experience in AWS cloud security, network security, with knowledge of Zero Trust, Data Protection, and Appsec. Strong understanding of enterprise IAM systems (Okta, SailPoint, VDI, Entra ID) and Data Protection. Expert experience with SIEM platforms, XDR, and cloud-native threat detection tools. Expert in web application security, OWASP, API security, and secure design and testing. Hands-on experience with security automation is required, with proficiency in AI-assisted development, Python, Cursor, Lambda, Terraform, or comparable scripting/IaC tools for operational efficiency. Industry certifications like CISSP, CCSP, CEH, AWS Certified Security – Specialty, AWS Certified Solutions Architect – Professional, or AWS Certified Advanced Networking – Specialty (or equivalent) are preferred. Ability to influence stakeholders and drive alignment. Strategic thinker with a passion for security innovation, continuous improvement, and building scalable defenses.   Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.  Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.  Zone 1 Pay Range$258,300—$361,575 USDAbout Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks.  Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

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About AbridgeAbridge was founded in 2018 with the mission of powering deeper understanding in healthcare. Our AI-powered platform was purpose-built for medical conversations, improving clinical documentation efficiencies while enabling clinicians to focus on what matters most—their patients.Our enterprise-grade technology transforms patient-clinician conversations into structured clinical notes in real-time, with deep EMR integrations. Powered by Linked Evidence and our purpose-built, auditable AI, we are the only company that maps AI-generated summaries to ground truth, helping providers quickly trust and verify the output. As pioneers in generative AI for healthcare, we are setting the industry standards for the responsible deployment of AI across health systems.We are a growing team of practicing MDs, AI scientists, PhDs, creatives, technologists, and engineers working together to empower people and make care make more sense. We have offices located in the Mission District in San Francisco, the SoHo neighborhood of New York, and East Liberty in Pittsburgh. The RoleAs Senior Corporate Counsel, you will serve as a trusted advisor to product, engineering, and security teams, embedding legal and compliance frameworks into our product lifecycle. You will deliver practical, business-oriented guidance that supports innovation while ensuring compliance with healthcare, privacy, and other regulatory requirements. This is an opportunity to be at the forefront of AI in healthcare.What You’ll DoServe as product counsel, partnering across the engineering, product, and security teams to support product design, development, and deployment.Provide actionable legal guidance on regulatory, privacy, and compliance matters, including HIPAA, CCPA/CPRA, and the evolving AI/ML landscape.Advise on healthcare regulatory compliance, including FDA, FTC, fraud and abuse (FCA, AKS), and related state laws.Partner with other cross-functional teams including policy, partner experience, marketing, IT, finance, corporate development, and commercial to ensure alignment and mitigate risk.Support privacy impact assessments, compliance risk assessments, and data governance efforts and frameworks.Coordinate with external counsel to resolve specialist issues and ensure fast delivery of actionable legal guidance and risk analysis.Monitor emerging regulations around AI, data use, and healthcare technology and advise internal stakeholders on their implications.What You’ll BringPassion for Abridge’s mission and the energy and drive to support a fast-moving product and operational teams8+ years of legal experience, including 4+ years in product counseling. Prior in-house, government, or law firm experience focused on healthcare is a requirement.Strong understanding of and experience with federal and state healthcare laws, including HIPAA and data privacy regulationsExperience with FDA, FTC, FCA and fraud, waste, and abuse laws.Proven ability to communicate and translate complex regulatory and legal concepts into clear, practical guidance for non-legal counterparts and colleagues.Comfort and confidence with juggling a high volume of projects, tight timelines, and competing priorities.Demonstrated ability to work independently and exercise business judgement; interest in joining a small team that prioritizes autonomy and trust.Proven ability to work cross-functionally, particularly with technical teams, designers, and commercial teams, building relationships and earning their confidence.Creativity in solving and navigating novel legal matters; experience in crafting new processes and language to meet the needs of a rapidly-moving enterprise in a novel industry.Bonus Points If…Expertise in intellectual property, AI, interoperability, or technology lawFamiliarity with recent trends in artificial intelligence, particularly with large language models and responsible AI principlesPrior in-house experience (bonus points if at a growth-stage or healthcare technology company)This role is a remote position, but preference in either San Francisco or New York City.Why Work at Abridge?At Abridge, we’re transforming healthcare delivery experiences with generative AI, enabling clinicians and patients to connect in deeper, more meaningful ways. Our mission is clear: to power deeper understanding in healthcare. We’re driving real, lasting change, with millions of medical conversations processed each month.Joining Abridge means stepping into a fast-paced, high-growth startup where your contributions truly make a difference. Our culture requires extreme ownership—every employee has the ability to (and is expected to) make an impact on our customers and our business.Beyond individual impact, you will have the opportunity to work alongside a team of curious, high-achieving people in a supportive environment where success is shared, growth is constant, and feedback fuels progress. At Abridge, it’s not just what we do—it’s how we do it. Every decision is rooted in empathy, always prioritizing the needs of clinicians and patients.We’re committed to supporting your growth, both professionally and personally. Whether it's flexible work hours, an inclusive culture, or ongoing learning opportunities, we are here to help you thrive and do the best work of your life.If you are ready to make a meaningful impact alongside passionate people who care deeply about what they do, Abridge is the place for you. How we take care of Abridgers:Generous Time Off: 13 paid holidays, flexible PTO for salaried employees, and accrued time off for hourly employees.Comprehensive Health Plans: Medical, Dental, and Vision plans for all full-time employees. Abridge covers 100% of the premium for you and 75% for dependents. If you choose a HSA-eligible plan, Abridge also makes monthly contributions to your HSA. Paid Parental Leave: 16 weeks paid parental leave for all full-time employees.401k and Matching: Contribution matching to help invest in your future.Pre-tax Benefits: Access to Flexible Spending Accounts (FSA) and Commuter Benefits.Learning and Development Budget: Yearly contributions for coaching, courses, workshops, conferences, and more.Sabbatical Leave: 30 days of paid Sabbatical Leave after 5 years of employment.Compensation and Equity: Competitive compensation and equity grants for full time employees.... and much more!Equal Opportunity EmployerAbridge is an equal opportunity employer and considers all qualified applicants equally without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, or disability.Staying safe - Protect yourself from recruitment fraudWe are aware of individuals and entities fraudulently representing themselves as Abridge recruiters and/or hiring managers. Abridge will never ask for financial information or payment, or for personal information such as bank account number or social security number during the job application or interview process. Any emails from the Abridge recruiting team will come from an @abridge.com email address. You can learn more about how to protect yourself from these types of fraud by referring to this article. Please exercise caution and cease communications if something feels suspicious about your interactions. 

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We’re looking for an AI Engineer – Frontend who’s excited to turn cutting-edge AI ideas into seamless, beautiful user experiences. You’ll take the lead in building fast, intuitive, and scalable interfaces that power our developer tools and AI products — bringing ideas from prototype to production. This is a unique opportunity to work at the intersection of AI, design, and engineering, collaborating closely with cross-functional teams to craft products that are as powerful as they are delightful to use. This is a full-time, hybrid role based in Mountain View, California. Here’s what you’ll do:Own the frontend experience of our platform — architecting, building, and shipping responsive, high-performance interfaces in TypeScript, JavaScript, and React.Collaborate closely with product, design, and backend teams to deliver seamless end-to-end user experiences.Translate complex user needs and product requirements into elegant, maintainable, and scalable frontend solutions.Integrate frontend components with backend APIs and services — and, where possible, contribute to backend logic in JavaScript/Node.js.Rapidly prototype new features and experiments, leveraging AI-assisted coding workflows to accelerate iteration.Work on interfaces that connect directly with LLMs, AI agents, and other frontier models, building intuitive user experiences around powerful AI capabilities.Participate in code reviews, technical design discussions, and continuous improvement of engineering practices.Monitor performance, identify bottlenecks, and ensure applications run smoothly at scale. Here are the skills you should have:2–4 years of professional experience building modern web applications.Strong proficiency in TypeScript, JavaScript, and React.Solid understanding of frontend architecture, component design, and state management patterns. Experience integrating APIs and working collaboratively with backend teams.Familiarity with AI models, LLMs, or AI agents — and a curiosity to keep exploring the latest developments in GenAI.Clear communication skills and the ability to work cross-functionally in a fast-paced, collaborative environment. Bonus Points:Experience contributing to backend services (Node.js, Express, or similar).Built developer-focused products or tools, especially in the AI or infrastructure space.Worked on AI-driven interfaces or products that interact with foundation models.Experience building 0→1 products or working in early-stage startup environments.Interest in education, developer experience, or enabling others to succeed with AI.

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About MetaviewMetaview is the anti-toil company. Toil is the force that opposes progress — it is to progress as friction is to motion. Our answer to toil is Human-Computer Symbiosis.AI copilots will fundamentally change how work gets done:More flow-state, less toil.More insight, less guesswork.More human-centricity, less process-centricity.Metaview is the AI copilot for hiring.In April 2018, Siadhal and Shahriar left their jobs at Uber and Palantir to build Metaview for themselves — to remedy all the pain they felt building products and teams. Today, Metaview is powering workflows for thousands of users at generational companies like Quora, Robinhood, Brex, Elastic, and Replit.We have a small, high-performing, and high-velocity team — obsessed with doing great work.About the roleAs Product Designer, you will be central to shaping how our product is experienced by users and differentiating Metaview in a competitive market.You'll collaborate closely with engineering, product, marketing, and founders to deliver best-in-class design across our platform and brand. This is an opportunity to define and elevate the user experience at a category-defining company, with a special focus on building agentic products that leverage the latest in AI to automate and optimize recruiting workflows.You will own:End-to-end product design: From concept to execution, create intuitive, elegant, and scalable UI/UX for our web and mobile products.Visual and interaction systems: Develop and maintain our design systems to ensure consistency and clarity across all touchpoints.Designing agentic products: Partner in the creation of intelligent, autonomous features that act on behalf of users to streamline recruiting operations.Cross-functional collaboration: Work closely with product managers, engineers, and marketing to translate complex ideas into simple, effective designs.Feedback loops: Incorporate user insights and data to continuously improve the product experience.Thought leadership: Contribute to our design culture and help shape Metaview’s visual identity.About you5+ years of experience in product design for SaaS, B2B, or technology companies.A compelling portfolio demonstrating a strong sense of typography, layout, and interaction design.Experience building and evolving design systems.Familiarity or enthusiasm for designing AI-powered and agentic user experiences.Ability to balance high-level conceptual thinking with pixel-perfect execution.Collaborative mindset with the confidence to lead design direction when needed.Comfort with ambiguity, rapid iteration, and lean processes.Excellent communication skills to articulate design decisions.Where you’ll workThis role will be based in our San Francisco office. You must be willing to work in office at least 3 days per week on Tuesdays, Wednesdays, and Thursdays.

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

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Location 📍: Sydney, Australia (Hybrid - 3 Days In Office)About Us 🚀At Relevance AI, our mission is to empower anyone to delegate work to the AI workforce.We’re building a new type of automation platform, for anyone to create and use AI agents that can replicate human quality work, decision making and collaboration.We are scaling fast to meet unprecedented customer demand and we need exceptional talent to help us grow. If you’re ready to be part of a trailblazing company at the cutting edge of AI, this is the place for you.The Role 🥳We’re seeking exceptional staff-level engineers (full-stack) to join our team and build next-generation AI-powered applications. This role would be ideal for individuals who are excited by the intersection of software development and applied AI.This is not your traditional ML engineer/ MLops role. Your day to day will be varied and you’ll work on building real, user-facing AI features—powering workflows, tools, and experiences that leverage large language models and agents across the product. Expect to dive deep into prompt engineering, AI-powered backend services, and full stack implementations (APIs, microservices, and frontends alike).You’ll collaborate closely with a visionary product and engineering team, contribute to our open-source SDKs, expand internal agent frameworks, and shape the future of AI agent interfaces and infrastructure.Your impact💥Develop Agents and Multi-agent systems: Design and implement AI agent and extend existing agents with new capabilities. This includes managing the agent’s context (using techniques like sub-agents, retrieval based context management, sliding context windows, etc.).Develop Tools for agents: Develop complex tools for agents like computer use, browser use, etc.Multi-agent orchestration and tool calling: Research and develop systems on how agents should collaborate, and how agents should call tools.Fullstack development: Build and maintain production-grade APIs and AI-powered features, from backend services to user-facing experiences.Evaluate and improve: Evaluate AI’s performance using evaluations and tests to then iterate on prompts, agent tools and agents orchestration to improve output quality and reliability.What We’re Looking For 🧠Proven staff-level experience in full-stack software development, ideally developing practical and production-ready AI applications or features that utilise Gen AI/ LLMs / RAG.Strong programming skills in Python and Javascript, including experience using AI-assisted coding tools.Deep understanding of foundational models, prompt engineering, and fine-tuning techniques.Understanding of software design, service architecture, and scalable systems.Passion for building AI-enhanced user experiences, not just theoretical ML solutions.Prior start-up or tech company experience is a plus—especially where you’ve worn multiple hats or shaped early products.Bonus: Side projects or open-source contributions involving building AI agents, RAG pipelines, or open-source LLM tooling.Our Tech-Stack: Javascript • Typescript (Node.js) • Python • React/ Vue.js • Express.js • LLMs Why Join Us? 🌟Work at the forefront of AI with a nimble team that is constantly pushing boundaries. We encourage and celebrate ideas that drive our mission forward.We're guided by our five values: truth-seeking, being empathetic, putting the customer first, iterate extremely fast, and building memories.We’ve set high standards in our high-trust, low-ego environment. We hire exceptional people to do the best work of their lives. In return, we reward our people with competitive salaries, equity stake, unparalleled professional growth, and career-defining opportunities.Relevance AI is well-funded by leading investors, including Bessemer Venture Partners, Insights Partners, Peak XV, and King River Capital.As an early team member, you’ll play a key role in shaping our future—including our culture, ways of working, and even the benefits we offer. We’re laying the foundations now, and your ideas can help define what comes next.Benefits (Australia) ✨🌴 4 Weeks Annual Leave – Take time to recharge with 20 days of paid vacation📈 ESOP – Employee Stock Ownership Plan so you can grow with the company🤖 AI Productivity Benefit – Get up to $1200 USD/year to spend on AI tools, courses, and learning resources that help you work smarter and grow your skills👶 Parental Leave – We offer 12 weeks of paid parental leave for all eligible new parents, and an additional 6 weeks for the birthing parent🎉 Milestone Merch – Celebrate your work anniversaries with customised Relevance AI swag🍱 Team Meals – Enjoy free Friday lunches, Uber Eats dinners, and regular catered office lunches🪩 Quarterly Team Events – Build stronger connections through fun, meaningful team bonding experiences every quarter🏓 Social Clubs – Share your hobbies and interests by joining or starting a club with your teammates. A few clubs we already have are hiking, chess, and board game nights. We also have a social committee you can join—new ideas are always welcome!🍿 Snacks & Drinks Galore – Stay energised with a wide selection of snacks and a fully stocked fridge of drinks in the office🌐 Community Events – As the home of the AI workforce, we regularly host events featuring thought leaders, industry partners, and the wider community—right at our office, so you can join straight after work🧠 Sonder EAP – Access 24/7 mental health and wellbeing support through Sonder, our Employee Assistance Program

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About AbridgeAbridge was founded in 2018 with the mission of powering deeper understanding in healthcare. Our AI-powered platform was purpose-built for medical conversations, improving clinical documentation efficiencies while enabling clinicians to focus on what matters most—their patients.Our enterprise-grade technology transforms patient-clinician conversations into structured clinical notes in real-time, with deep EMR integrations. Powered by Linked Evidence and our purpose-built, auditable AI, we are the only company that maps AI-generated summaries to ground truth, helping providers quickly trust and verify the output. As pioneers in generative AI for healthcare, we are setting the industry standards for the responsible deployment of AI across health systems.We are a growing team of practicing MDs, AI scientists, PhDs, creatives, technologists, and engineers working together to empower people and make care make more sense. We have offices located in the Mission District in San Francisco, the SoHo neighborhood of New York, and East Liberty in Pittsburgh. The RoleWe’re looking for Senior Integrations Engineers to join our growing team! This role is instrumental in supporting our expansion in our hyper growth phase. You’ll play a key role in designing, building, and scaling our integrations powering our product. You’ll work alongside our engineers, implementation specialists, support, and product managers to build real-time and batch data integrations with our partners and clients.What You’ll DoScale up our business by designing, building, and supporting our integrations and infrastructureBuild robust healthcare integrations without compromising security, privacy, or quality. These integrations will leverage technology standards using REST-like APIs, healthcare standards such as FHIR and HL7v2, and other third-party APIs.Collaborate closely with our health system customers to deploy, troubleshoot, and support integrations. Be comfortable engaging with external partners and stakeholders.Enhance existing systems to add new functionality, and to improve performance, stability, quality, and securityAdvocate for high standards; make quality-of-life improvements to the codebase; add documentation and share knowledge; and help limit the growth of technical debtBuild deep user empathy and maintain a user-centric mindsetCommunicate regularly and effectively within and on behalf of our cross-functional product delivery teams. You’ll work with other disciplines, including design, product, machine learning, and infrastructure, and will have opportunities to learn from and contribute to projects across the companyWhat You’ll Bring5+ years of experience launching business-critical integrations with large enterprisesExperience working with technologies REST-like APIs, OAuth2.0, mTLSExcitement about working on our tech stack, which include NodeJS/TypeScript and Google Cloud PlatformPassionate about working in healthcare integrationsAbility to act with autonomy & self-direction while working well in a team environmentWillingness to pitch in wherever needed - as a fast-moving startup we need to do good work, quicklyComfortable with working across domains and languages with a curiosity to experiment & learn new thingsStrong communication with internal and external stakeholdersNice to Have2+ years of experience working with healthcare data integrationsExperienced in delivering integrations with EHRs like Oracle Health/Cerner and othersFamiliarity with one or more of the following technologies: FHIR, HL7, X12Must be willing to work from our SF or NY office at least 3x per week (Relocation assistance is available for candidates willing to move to San Francisco or New York)This position requires a commitment to a hybrid work model, with the expectation of coming into the office a minimum of (3) three times per week.Why Work at Abridge?At Abridge, we’re transforming healthcare delivery experiences with generative AI, enabling clinicians and patients to connect in deeper, more meaningful ways. Our mission is clear: to power deeper understanding in healthcare. We’re driving real, lasting change, with millions of medical conversations processed each month.Joining Abridge means stepping into a fast-paced, high-growth startup where your contributions truly make a difference. Our culture requires extreme ownership—every employee has the ability to (and is expected to) make an impact on our customers and our business.Beyond individual impact, you will have the opportunity to work alongside a team of curious, high-achieving people in a supportive environment where success is shared, growth is constant, and feedback fuels progress. At Abridge, it’s not just what we do—it’s how we do it. Every decision is rooted in empathy, always prioritizing the needs of clinicians and patients.We’re committed to supporting your growth, both professionally and personally. Whether it's flexible work hours, an inclusive culture, or ongoing learning opportunities, we are here to help you thrive and do the best work of your life.If you are ready to make a meaningful impact alongside passionate people who care deeply about what they do, Abridge is the place for you. How we take care of Abridgers:Generous Time Off: 13 paid holidays, flexible PTO for salaried employees, and accrued time off for hourly employees.Comprehensive Health Plans: Medical, Dental, and Vision plans for all full-time employees. Abridge covers 100% of the premium for you and 75% for dependents. If you choose a HSA-eligible plan, Abridge also makes monthly contributions to your HSA. Paid Parental Leave: 16 weeks paid parental leave for all full-time employees.401k and Matching: Contribution matching to help invest in your future.Pre-tax Benefits: Access to Flexible Spending Accounts (FSA) and Commuter Benefits.Learning and Development Budget: Yearly contributions for coaching, courses, workshops, conferences, and more.Sabbatical Leave: 30 days of paid Sabbatical Leave after 5 years of employment.Compensation and Equity: Competitive compensation and equity grants for full time employees.... and much more!Equal Opportunity EmployerAbridge is an equal opportunity employer and considers all qualified applicants equally without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, or disability.Staying safe - Protect yourself from recruitment fraudWe are aware of individuals and entities fraudulently representing themselves as Abridge recruiters and/or hiring managers. Abridge will never ask for financial information or payment, or for personal information such as bank account number or social security number during the job application or interview process. Any emails from the Abridge recruiting team will come from an @abridge.com email address. You can learn more about how to protect yourself from these types of fraud by referring to this article. Please exercise caution and cease communications if something feels suspicious about your interactions. 

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About Appier Appier is a software-as-a-service (SaaS) company that uses artificial intelligence (AI) to power business decision-making. Founded in 2012 with a vision of democratizing AI, Appier’s mission is turning AI into ROI by making software intelligent. Appier now has 17 offices across APAC, Europe and U.S., and is listed on the Tokyo Stock Exchange (Ticker number: 4180). Visit www.appier.com for more information.   About the role Appier is seeking Software Engineers, QA Automation to ensure continuous delivery of high-quality system. You will work with engineers to design testing plans for various types of systems - large traffic distributed system, machine learning algorithm, big data platform, frontend system, etc. He/ She will master the skills in defining suitable test strategies and test automation for different types of systems. [The seniority/title is determined by job-related skills, experience, and evaluation after the interview.]    About you - 3+ years of experience in QA Engineering with a focus on automation and test strategy. - Proficiency in scripting languages (e.g., JavaScript, Java, or similar) for writing automated tests. - Hands-on experience with test automation frameworks (Playwright is a strong plus). - Strong experience with API testing tools (Postman, RestAssured, or equivalents). - Exposure to backend service testing (a plus). - Experience in cross-browser and cross-platform compatibility testing. - Mobile testing experience on both iOS and Android. - Familiarity with performance testing concepts and tools (nice to have). - Deep understanding of SDLC, Agile methodologies, and QA’s role in shaping product quality early in the cycle. - Strong knowledge of test pyramid principles and best practices for balancing manual vs automated test coverage. - Practical experience with Jira and TestRail (or similar test management tools). - Excellent communication and collaboration skills, with the confidence to question and propose improvements. - Analytical mindset with strong problem-solving abilities. - Self-discipline and adaptability to succeed in a remote-first environment. - Ability to decide regression test coverage independently. - Strong ownership of manual test efforts, complemented with automation where it adds most value. - A questioning mindset that ensures no assumption goes untested. - Availability in a timezone similar to European time. #LI-Fully Remote

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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.About the RoleThis role requires both strong technical skills and the ability to communicate effectively with a range of stakeholders. You’re a versatile engineer who thrives in a role that blends customer engineering with technical development. You will work closely with our customers from onboarding through to their ongoing use of Happyrobot's AI platform, ensuring they maximize the value of our solutions.Tech ProfileComfortable Full-Stack: React, TypeScript, Node.js.Strong proficiency in Python with hands-on experience.Experience building AI/ML applications.Manage APIs and other tools for robust integration with various third-party systems.LLM prompting and tuning of voices and transcribers. Constant iteration to perfect use cases.Building new features or entire MVPs.Must haveFluency in PortugueseAbility to prioritize and manage multiple projects under tight deadlines.Excellent communication skills and the ability to explain technical concepts clearly.Founder Mindset: Hard work + independence + ownership.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 double-digit ARR.Ownership & Autonomy - Take full ownership of projects and ship fast.Top-Tier Compensation - Competitive salary + equity in a high-growth startup.Work With the Best - Join a world-class team of engineers and buildersThe 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.

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Who We Are PathAI's mission is to improve patient outcomes with AI-powered pathology. Our platform promises substantial improvements to the accuracy of diagnosis and the efficacy of treatment of diseases like cancer, leveraging modern approaches in machine learning. Our team, comprising diverse employees with a wide range of backgrounds and experiences, is passionate about solving challenging problems and making a huge impact. We are seeking an experienced Contract Database / Data Warehouse Specialist to enhance the scalability, performance, and maintainability of our ML data infrastructure. The ideal candidate will bring expertise in relational databases, ETL processes, and modern big data deployments. You will work closely with our MLOps and ML engineering teams to optimize storage usage, modernize ETL pipelines, deploy new technology, and/or build / enhance tools that support analytics and machine learning workflows. Contract Duration: Minimum 6 months Location: Remote (U.S.) What You’ll Do Analyze and optimize storage strategies for ML experiment data and metadata. Design and implement intelligent retention and expiration for large-scale datasets. Modernize and refactor ETL pipelines to improve scalability and ease of maintenance. Build and enhance database-backed applications supporting ML R&D and production analytics. Collaborate with ML engineers, SREs, and platform teams. Provide knowledge transfer for long-term maintainers. What You’ll Need Proven expertise with relational databases (e.g., Postgres, Amazon RDS, Aurora), including schema design, query optimization, and performance tuning. Strong experience with ETL development and cloud data warehousing (e.g., Snowflake, Redshift). Familiarity with big data deployments and scalable architectures such as Spark and Hive. Experience with Apache Airflow for systems automation. Proficiency in Python for application development, data processing and automation. Understanding of S3-based storage and large-scale data management strategies. Ability to write clear technical documentation and collaborate effectively across teams. Experience with query optimization, data partitioning strategies, and cost optimization in cloud environments Nice to Have Background in machine learning data pipelines or analytics-heavy environments. Knowledge of data governance, retention policies, or cost-optimization strategies in cloud environments. We Want to Hear From You At PathAI, we are looking for individuals who are team players, are willing to do the work no matter how big or small it may be, and who are passionate about everything they do. If this sounds like you, even if you may not match the job description to a tee, we encourage you to apply. You could be exactly what we're looking for.  PathAI is an equal opportunity employer, dedicated to creating a workplace that is free of harassment and discrimination. We base our employment decisions on business needs, job requirements, and qualifications — that's all. We do not discriminate based on race, gender, religion, health, personal beliefs, age, family or parental status, or any other status. We don't tolerate any kind of discrimination or bias, and we are looking for teammates who feel the same way.  #LI-Remote

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Location 📍: Sydney, AU, Hybrid - 3 days a week in officeAbout Us 🚀At Relevance AI, our mission is to empower anyone to delegate work to the AI workforce.We’re building a new type of automation platform, for anyone to create and use AI agents that can replicate human quality work, decision making and collaboration.We are scaling fast to meet unprecedented customer demand and we need exceptional talent to help us grow. If you’re ready to be part of a trailblazing company at the cutting edge of AI, this is the place for you.The Role 🥳We’re hiring for multiple Senior Software Engineers to join our growing team in Sydney. This is your chance to take ownership of complex projects, mentor other engineers, and make a meaningful impact on a category-defining product.At Relevance AI, your work will reach customers within hours, offering a rare opportunity to see the impact of your contributions in real-time. You’ll have autonomy and trust to lead key projects and mentor team members without being weighed down by unnecessary layers of approval.You’ll work across our modern Node.js/TypeScript tech stack, which we’re constantly optimising to move and iterate faster. Our supportive, fast-paced culture fosters collaboration, curiosity, and creativity, making it an environment where innovation thrives and where your ideas and expertise will be highly valued.Your Impact 💥Architect, build, and deliver features across the entire stack from elegant, performant frontends to scalable, reliable backend systems and cloud infrastructure.Take ownership of complex, mission-critical projects, delivering impactful features within your first month and guiding them from ideation to production.Push the boundaries of AI capabilities, designing and implementing cutting-edge solutions for customers.Play a pivotal role in shaping our engineering culture, processes, and how we work as we scale.Mentor and coach engineers of all levels, fostering a collaborative, high-performance environment and helping others grow their technical and professional skills.Set and uphold high standards for code quality, performance, and scalability, and ensure these standards are adopted across the team.Collaborate closely with product, design, and leadership to align technical direction with business goals and drive the company’s success.Our Tech Stack (so far) 💻We leverage a modern, scalable, and developer-friendly technology stack to build robust web applications:Frontend: Vue.js, Nuxt, TypescriptBackend: Express.js, Node.js, TypescriptDatabase: MongoDB, PostgreSQLCloud & Deployment: Vercel, AWSWhat We’re Looking For 🧠4+ years of hands-on software engineering experience, ideally within fast-paced, high-growth tech environments.Strong expertise in our tech stack or a proven ability to quickly master new technologies.Thrive in dynamic, high-performance start up settings and comfortable with ambiguity, rapid iteration, and taking initiative.Demonstrated ability to take full ownership of projects, solve complex problems, and consistently deliver high-quality, impactful results.Deep interest in artificial intelligence and excitement to build innovative, category-defining products.Regularly leverage AI tools and technologies in your workflow, and stay up-to-date with the latest advancements to boost productivity and innovation.Bonus Points if You Have Any Of The Following ⭐Experience designing systems for real-world users or enterprise environments.Contributed to open-source projects (show us your GitHub!).Knowledge of AI workflows, LLMs, or agent-based systems.Experience with any of the following technologies:Vue.js, Nuxt, and Express.jsMulti-tenanted AWS deployments using Lambda, Batch, Cloudwatch, and TerraformMongoDB and PostgreSQLEnterprise deployments, e.g. role-based access controls, compliance frameworks, or on-premise cloud deploymentsInterview Process 💬Talent Interview (virtual)Hiring Manager Interview (virtual)Technical Interviews (onsite)Co-Founder Interview (virtual/ onsite)Why Join Us? 🌟Work at the forefront of AI with a nimble team that is constantly pushing boundaries. We encourage and celebrate ideas that drive our mission forward.We're guided by our five values: truth-seeking, being empathetic, putting the customer first, iterating extremely fast, and building memories.We’ve set high standards in our high-trust, low-ego environment. We hire exceptional people to do the best work of their lives. In return, we reward our people with competitive salaries, equity stake, unparalleled professional growth, and career-defining opportunities.Relevance AI is well-funded by leading investors, including Bessemer Venture Partners, Insights Partners, Peak XV, and King River Capital.As an early team member, you’ll play a key role in shaping our future—including our culture, ways of working, and even the benefits we offer. We’re laying the foundations now, and your ideas can help define what comes next.Benefits ✨🌴 4 Weeks Annual Leave – Take time to recharge with 20 days of paid vacation📈 ESOP – Employee Stock Ownership Plan so you can grow with the company🤖 AI Productivity Benefit – Get up to $1200 USD/year to spend on AI tools, courses, and learning resources that help you work smarter and grow your skills👶 Parental Leave – We offer 12 weeks of paid parental leave for all eligible new parents, and an additional 6 weeks for the birthing parent🎉 Milestone Merch – Celebrate your work anniversaries with customised Relevance AI swag🍱 Team Meals – Enjoy free Friday lunches, Uber Eats dinners, and regular catered office lunches💥 Quarterly Team Events – Build stronger connections through fun, meaningful team bonding experiences every quarter🏓 Social Clubs – Share your hobbies and interests by joining or starting a club with your teammates. A few clubs we already have are hiking, chess, and board game nights. We also have a social committee you can join—new ideas are always welcome!🍿 Snacks & Drinks Galore – Stay energised with a wide selection of snacks and a fully stocked fridge of drinks in the office🌐 Community Events – As the home of the AI workforce, we regularly host events featuring thought leaders, industry partners, and the wider community—right at our office, so you can join straight after work🧠 Sonder EAP – Access 24/7 mental health and wellbeing support through Sonder, our Employee Assistance Program

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

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About UsAt Harmattan AI, we are a next-generation defense prime building autonomous and scalable defense systems. Driven by rigorous engineering developments of new defense products based on recent robotics and AI developments, we are on a steep growth trajectory. If you are interested in a career in a highly technical environment, thrive on pushing boundaries, and want to achieve ambitious goals, we would love to hear from you.About the RoleAs a Software Engineer within the Ground Control Systems (GCS) team, you will play a central role in developing Harmattan AI’s new range of drone controllers — high-performance, Android-based control stations designed for professional UAV operations. You will adapt and extend the open-source QGroundControl platform (C++/Qt) to integrate seamlessly with our proprietary hardware, adding new features and ensuring reliability, performance, and scalability across missions.ResponsibilitiesApp Development: Design, develop, and optimize our QGroundControl-based application using C++ and Qt.Hardware Integration: Adapt the app interface with physical controls (joysticks, buttons, switches, touchscreen) for a cohesive operator experience.Feature Implementation: Translate user needs and mission requirements into new functionalities and UX/UI improvements.Platform Maintenance: Port and maintain the app across Android versions, ensuring performance, compatibility, and security.Deployment: Manage app updates and releases across our device fleet.Collaboration: Work closely with embedded and electronics teams to ensure smooth hardware/software integration and with QA for field validation.Candidate RequirementsMaster’s degree in Software Engineering or related field.3+ years of experience in software development: C++ and Qt for desktop or embedded applications.Experience with Android development (Java or C++/NDK).Familiarity with UX/UI design principles and cross-platform app optimization.Experience in robotics or drones environments is a strong plus.Knowledge of MAVLink, PX4, or ground control systems is an advantage.English proficiency (reading and writing technical documentation).Versatile, autonomous, and eager to learn in a fast-evolving technical environment.Location and CommitmentsContract Type: Permanent contract (CDI)Work Schedule: Full-timeAvailability: ASAPLocation: ParisWe look forward to hearing how you can help shape the future of autonomous defense systems at Harmattan AI.

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

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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 role As an Enterprise Account Executive at Anthropic, you'll join the foundational team at the forefront of introducing our cutting-edge AI productivity SaaS solution to large enterprise organizations across DACH. You'll drive the adoption of safe, frontier AI by securing strategic deals with major corporations, technology companies, and research institutions. You'll leverage your consultative sales expertise in the enterprise sector to propel revenue growth while becoming a trusted partner to enterprise stakeholders, helping them embed and deploy AI while uncovering its full range of capabilities across business operations, research, and administration. In collaboration with GTM, Product, and Marketing teams, you'll continuously refine our value proposition, sales methodology, and market positioning to resonate with enterprise decision-makers in the French market. Responsibilities: Win new business and drive revenue for Anthropic within the enterprise sector across DACH. Navigate complex enterprise organizations to reach key decision-makers, educate them about our services, and help them succeed with Anthropic. You'll own the full sales cycle, from first outbound to close Design and execute innovative sales strategies tailored to enterprise procurement cycles and budgeting processes to meet and exceed revenue quotas. Analyze enterprise market landscapes, trends, and dynamics to translate high-level plans into targeted sales activities and campaigns Spearhead market expansion by identifying new use cases within enterprise departments, innovation centers, and operational offices. Collaborate cross-functionally to differentiate our offerings for enterprise applications Navigate complex enterprise stakeholder ecosystems including executives, administrators, IT departments, and procurement offices to build consensus across DACH business culture and practices Inform product roadmaps and features by gathering feedback from enterprise users and conveying market needs from the French enterprise landscape. Provide insights that strengthen our value proposition for enterprise customers Continuously refine the enterprise sales methodology by incorporating learnings into playbooks, templates, and best practices. Identify process improvements that optimize sales productivity and consistency You may be a good fit if you have: Native German speaker with excellent written and verbal communication skills in German and English 5+ years of B2B sales experience in enterprise technology, preferably in SaaS or emerging technologies Specialised sales industries experience: Telco, Manufacturing, Retail, Energy and Utilities A track record of managing complex sales cycles within large enterprise organizations and securing strategic deals by understanding both technical requirements and business use cases Demonstrated ability to navigate enterprise bureaucracies and procurement processes, building consensus among diverse stakeholders including executives, administrators, and IT departments Extensive experience negotiating complex agreements within enterprise procurement frameworks and policies Proven experience exceeding revenue targets in the enterprise sector by effectively managing an evolving pipeline and sales process Excellent communication skills and the ability to present confidently to various enterprise audiences, from technical teams and business analysts to senior executives Deep understanding of enterprise buying cycles, decision-making processes, and key pain points, particularly within the French market A strategic, analytical approach to assessing the enterprise market combined with creative, tactical execution to capture opportunities A passion for and/or experience with advanced AI systems and their applications in enterprise environments. You feel strongly about ensuring frontier AI systems are developed safely and ethically for business use What We Offer: Competitive base salary and commission structure Equity participation in Anthropic's growth Comprehensive benefits package Opportunity to shape the AI industry in DACH and EMEA Professional development and career growth opportunities Location: Munich, Germany (hybrid working available) 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:€205.000—€255.000 EURLogistics 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