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Who we are:Aleph Alpha’s mission is to deliver sovereign, human-centric AI to governmental institutions and large enterprises. To that end, we deliver category-defining AI innovation that enables open, accessible, and trustworthy deployment of GenAI in industrial applications. Our organization develops foundational models and next-generation methods that make it easy and affordable for Aleph Alpha’s customers to increase productivity in development, engineering, logistics, and manufacturing processes.The role:As a Developer Advocate in our Research organization, your mission is to amplify the impact of our publications and model releases by building, engaging, and promoting our research community. This means you will be working closely with our research scientists and engineers to make sure our output is accessible and visible in deeply technical AI/LLM academic and industry communities. Within this scope, you are in the driving seat: your success is measured by the impact you have, and your role is to derive how to make that impact.You’ll contribute to a breadth of initiatives in a fast-paced and dynamic environment; one week, you might be organizing our participation in a major conference; another week, you’ll lead a growth campaign on our upcoming release.Your responsibilities:Develop and implement strategies to build and grow an engaged developer community around Aleph Alpha’s AI and LLM technologiesOrganize and participate in digital and in-person community events, webinars, forums, and social media platforms to facilitate discussions and share knowledgeAct as a liaison between the community and our research teams, gathering feedback and insights to drive continuous product improvementAnalyze community feedback to identify trends, opportunities, and areas for improvement, advocating for community needs in product roadmap discussionsEngage academic partners through organizing targeted events and presentations.Monitor and report on community engagement and growth metricsWho you are:Basic Qualifications:Proven experience in Developer Advocacy, Community Management, Developer Relations, or a similar roleYou are deeply engaged and have a great understanding of technical & scientific communitiesYou can understand and communicate scientific results, balancing simplicity and depth without sacrificing accuracyYou are detail-oriented and have a great sense for visual storytelling, setting the bar for our public contentYou have a high sense of ownership and urgency, and can maximize your impact with limited resources and directivesProficiency with one of more coding languages, particularly PythonPreferred Qualifications:Ability to work onsite or hybrid in Heidelberg, GermanyPrevious experience in a deep-tech, scientific environmentPrevious experience in a related role in AI, particularly with LLMsWhat You Can Expect From Us:Become part of an AI revolution!30 days of paid vacationAccess to a variety of fitness & wellness offerings via WellhubMental health support through nilo.healthSubstantially subsidized company pension plan for your future securitySubsidized Germany-wide transportation ticketBudget for additional technical equipmentFlexible working hours for better work-life balance and hybrid working modelVirtual Stock Option PlanJobRad® Bike Lease

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Why Delphi? At Delphi, we are redefining how knowledge is shared by creating a new medium for human communication: interactive digital minds that people can talk to, learn from, and be guided by.The internet gave us static profiles and endless feeds. Delphi is something different: a living, interactive layer of identity. It carries your voice, perspective, and judgment into every conversation—so people don’t just read about you, they experience how you think.Our mission is bold:Make human wisdom abundant, personalized, and discoverable.Preserve legacies, unlock opportunities, and scale brilliance across generations.Delphi becomes everyone's living profile to show what you know.We are trusted and loved by thousands of the world’s most brilliant minds from Simon Sinek to Arnold Schwarzenegger (interact with all of them here). We have tripled revenue, users, and Delphi interactions in the past 6 months - all organically through word of mouth. We plan to accelerate even further from here.Delphi’s investors include Sequoia Capital, Founders Fund, Abstract Ventures, Michael Ovitz, Gokul Rajaram, Olivia Wilde, and dozens of founders from Lyft, Zoom, Doordash, and many more. Our team includes founders with successful exits and builders from Apple, Spotify, Substack and more.Learn more about Delphi and this position by calling the CEO’s digital mind here!Who You AreCode-first builder with exceptional design taste - You're a front-end engineer who happens to have a great eye for design. You can debate the merits of Server Components vs Client Components as easily as you can critique visual hierarchy.Master of the modern web stack - React, Next.js, TypeScript, and Tailwind aren't just tools you use—they're tools you've mastered. You know the performance implications of your choices and write code that's both beautiful and fast.Obsessive about craft and details - You notice when animations feel off by 50ms, when a loading state causes layout shift, or when a color doesn't meet WCAG standards. You fix these things without being asked.Full-stack front-end engineer - Comfortable working across the entire front-end stack, from API integration and state management to responsive layouts and micro-interactions. Bonus if you can jump into Python backends when needed.Owner, not executor - You prototype quickly, gather feedback, iterate fast, and ship confidently. You take features from zero to production and own the outcomes.Product-minded engineer - You push back on designs that don't serve users, suggest improvements to the product direction, and think deeply about user flows. You build with empathy and intention.Comfortable in ambiguity - You thrive when the problem space is undefined. You're energized by questions like "how should people discover Delphi's?" rather than paralyzed by them.What You'll DoBuild the core interfaces of Delphi Studio - Own and ship the primary user-facing features: creation flows, customization tools, and interaction patterns. You'll write the React components, build the APIs integrations, and polish every detail.Create a discovery platform for digital minds - Design and implement the browsing experience, search functionality, filtering systems, and recommendation interfaces. Make exploring thousands of AI personas feel effortless and delightful.Architect scalable front-end systems - Build reusable component libraries, establish patterns for state management, optimize bundle sizes, and ensure the app performs beautifully at scale.Translate AI complexity into simple UX - Work directly with product and backend engineers to understand AI capabilities, then build interfaces that expose the power while hiding the complexity.Set the standard for quality - Your code will be the example others follow. Write clean TypeScript, build accessible components, implement smooth animations, and establish the bar for what "production-ready" means.Collaborate across disciplines - Partner closely with designers to refine mockups and improve interactions. Work with backend engineers to define API contracts. Sync with product to shape roadmap priorities.Why You'll Love It Here We work on hard problems. Our team is full of former founders, and entrepreneurial individuals who are taking on immense initiatives.There is extreme upside. Very competitive salary and equity in a company on a breakout trajectory.We push each other. Work from our beautiful Jackson Square office in San Francisco, surrounded by peers pushing to do their best work.BenefitsUnlimited Learning Stipend: Whether it’s books, courses, or conferences, we want to support your growth and development. The more you learn and improve your craft the more effective we will be together.Health, Dental, Vision: Comprehensive coverage to keep to take care of your health.401k covered by Human Interest.Relocation support to SF (as needed)If you’re looking for just a job, Delphi isn’t the right fit. But if you want to shape the future of human connection, scale wisdom for billions, and build something that will outlast us all - you’ll feel at home here.

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About ArtisanAt Artisan, we’re building real AI employees - not copilots, not assistants, but autonomous teammates.Our first, Ava, is an AI BDR. She finds and researches leads, writes emails in customers’ tone of voice, runs outbound sequences, self-optimizes, and manages email deliverability infrastructure. She learns, adapts, and improves over time - just like a human would.Human team members use Artisan as their primary working platform, replacing a sprawling stack of sales tools, and have Artisans working alongside them.We went through Y Combinator (W24) and have raised $35M+ from top investors. We’re at $7M+ ARR, with hundreds of customers including Remote, Quora, and SumUp. We’re currently working on Ava 2.0, pushing the boundaries of what an AI employee can do. And we're hiring.Your MissionThis isn’t a maintenance gig. You’ll design, build, and scale the backend that powers AI employees. Expect to:Build resilient, scalable services: Architect and implement backend systems and APIs that handle high-throughput AI requests with precision.Own end-to-end delivery: From design to deployment, you’ll shepherd features into production rapidly, with quality and ownership.Work cross-functionally: Partner with product, design, and AI teams to ensure backend decisions serve real user workflows.Use AI as a coworker: Directly collaborate with AI coding agents like Claude Code, leveraging them to boost your productivity and quality.Maintain engineering rigor: Champion testing, observability, deployment pipelines, and reliability best practices from day one.Drive long-term scalability: Iteratively improve architecture, manage technical debt, and optimize for scale as we grow.What You Bring2+ years of backend engineering experience in high-growth environments, preferably early-stage or Series B.Strong experience building scalable, data-intensive services with modern APIs and robust infrastructure.Proficiency with cloud-native tools - containers, orchestration (e.g., Kubernetes), monitoring, CI/CD.Deep understanding of distributed systems, APIs, reliability, performance, and database systems (SQL + NoSQL).Experience with modern stacks - TypeScript/Node preferred, but equivalent backend stacks are welcome.Demonstrated track record of ownership - leading parts of systems independently and shipping with impact.Excellent communication, clarity in articulating architecture to technical and non-technical stakeholders.What Makes This Role Stand OutEnd-to-end ownership: You’re not just doing the “ticket”; you own feature delivery. Build systems that support intelligent, autonomous AI teammates.Scalable, reliable systems: Backend must handle growth and complexity. High-throughput pipelines serving AI agents across many customers.Hands-on infrastructure work: Jump in on deployment, monitoring, tuning. You're shaping the platform that automates itself (AI agents included).Collaborative, multidisciplinary environment: Work closely with product, design, ops. Work alongside AI engineers and product partners to define what AI employees can do.Balance innovation and technical debt: Iterate quickly while maintaining system health. Ship fast but sustainably - your engine powers AI teammates in production.Why Artisan is the Next Career-Defining MoveYou’ll be building the infrastructure that powers AI employees - an entirely new product category.Real equity upside and compensation aligned with high expectations and high impact.High-velocity environment: release often, learn fast, iterate week over week.Mission-driven: reshape how businesses scale by putting AI on the front lines.DetailsRole: EngineeringEng type: BackendJob type: Full-timeExperience: 2+ yearsLocation: San Francisco or NYC (in-person)Remote: In rare circumstancesUS visas: Will sponsor

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About Mistral At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life. We democratize AI through high-performance, optimized, open-source and cutting-edge models, products and solutions. Our comprehensive AI platform is designed to meet enterprise needs, whether on-premises or in cloud environments. Our offerings include le Chat, the AI assistant for life and work. We are a dynamic, collaborative team passionate about AI and its potential to transform society.Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between France, USA, UK, Germany and Singapore. We are creative, low-ego and team-spirited. Join us to be part of a pioneering company shaping the future of AI. Together, we can make a meaningful impact. See more about our culture on https://mistral.ai/careers. About The Job Mistral AI is seeking Applied Scientists and Research Engineers specializing in time‑series modeling to build SOTA forecasting, detection, and control systems across domains such as finance, energy, IoT, healthcare, and operations. You will design foundation‑style temporal models and hybrids (LLM + TS), and deploy them in latency‑sensitive, reliability‑critical environments. You’ll partner with clients to translate raw telemetry into actionable insights. What you will do • Run pre-training, post-training and deploy state of the art models on clusters with thousands of GPUs. You don’t panic when you see OOM errors or when NCCL feels like not wanting to talk.• Pre‑train and fine‑tune time series foundational models for downstream applications in various industries• Generate and curate data for pre-training and post-training, working on evaluations and making sure the model’s performance beats expectations.• Manage research projects and communications with client research teams. About you • You are fluent in English, and have excellent communication skills. You are at ease explaining complex technical concepts to both technical and non-technical audiences.• You’re an expert with PyTorch or JAX.• You’re not afraid of contributing to a big codebase and can find yourself around independently with little guidance.• You write clean, readable, high-performance, fault-tolerant Python code.• You don’t need roadmaps: you just do. You don’t need a manager: you just ship.• Low-ego, collaborative and eager to learn.• You have a track record of success through personal projects, professional projects or in academia.• Proven work with time‑series modeling and transformers models applied to time-series: forecasting, anomaly/change‑point detection, irregular sampling, multivariate and hierarchical series. It would be great if you • Hold a PhD / master in a relevant field (e.g., Mathematics, Physics, Machine Learning), but if you’re an exceptional candidate from a different background, you should apply.• Have contributed to a large codebase used by many (open source or in the industry).• Have a track record of publications in top academic journals or conferences.• Love improving existing code by fixing typing issues, adding tests and improving CI pipelines. Benefits We have local offices in Paris, London, Marseille, Singapore and Palo Alto. France 💰 Competitive cash salary and equity🥕 Food : Daily lunch vouchers🥎 Sport : Monthly contribution to a Gympass subscription 🚴 Transportation : Monthly contribution to a mobility pass🧑‍⚕️ Health : Full health insurance for you and your family🍼 Parental : Generous parental leave policy🌎 Visa sponsorship UK 💰 Competitive cash salary and equity🚑 Insurance🚴 Transportation: Reimburse office parking charges, or 90GBP/month for public transport🥎 Sport: 90GBP/month reimbursement for gym membership🥕 Meal voucher: £200 monthly allowance for its meals💰 Pension plan: SmartPension (percentages are 5% Employee & 3% Employer)

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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 a Federal DOD/IC Account Executive at Anthropic, you'll drive the adoption of safe, frontier AI across DOD/IC agencies. You'll leverage your deep understanding of DOD/IC operations and consultative sales expertise to propel revenue growth while becoming a trusted partner to customers, helping them embed and deploy AI while uncovering its full range of capabilities. In collaboration with GTM, product, and marketing teams, you'll help refine our approach to the DOD/IC market while maintaining the highest standards of security and compliance. Responsibilities: Drive new business and revenue growth specifically within DOD/IC agencies, owning the full sales cycle from initial outreach through deployment Navigate the unique requirements of DOD/IC procurement, including DFAR compliance, ITAR/EAR regulations, security clearance requirements, and agency-specific security protocols Build and maintain relationships with key decision-makers across DOD/IC agencies, becoming a trusted advisor on AI capabilities and implementation in classified and unclassified environments Develop and execute strategic account plans that align with mission requirements, operational needs, and modernization initiatives Coordinate closely with cleared cloud service providers and cleared system integrators to ensure successful deployment and integration Provide detailed market intelligence and customer feedback to product teams to ensure our offerings meet DOD/IC requirements, including classification levels and air-gapped environments Create and maintain sales playbooks specific to DOD/IC use cases, procurement processes, and security requirements Take a leadership role in growing our DOD/IC presence while maintaining hands-on engagement with key accounts Collaborate across teams to ensure coordinated delivery of commitments and maintain appropriate documentation of customer engagements with proper security protocols You may be a good fit if you have: 7+ years of enterprise sales experience in the DOD/IC space, with a proven track record of driving adoption of emerging technologies Deep understanding of DOD/IC agency missions, operational challenges, and technology needs across classification levels Active security clearance (TS/SCI preferred) with ability to discuss capabilities in classified environments Demonstrated ability to balance strategic leadership with hands-on sales execution in high-security environments Experience navigating complex DOD/IC procurement processes, including knowledge of SEWP, CIO-SP3, GSA, and other relevant contracting vehicles Strong track record of exceeding revenue targets in the DOD/IC space Extensive experience with DOD/IC contracting vehicles, procurement mechanisms, and security compliance requirements Excellent relationship-building skills across all levels, from technical teams to senior agency leadership, including military and civilian leadership Proven ability to coordinate across multiple stakeholders, including cleared cloud providers, cleared system integrators, and security personnel Strategic thinking combined with attention to detail in execution, particularly regarding security protocols A passion for safe and ethical AI development, with the ability to articulate its importance in national security contexts Deadline to apply: None. Applications will be reviewed on a rolling basis. The expected base compensation for this position is below. Our total compensation package for full-time employees includes equity, benefits, and may include incentive compensation.Annual Salary:$280,000—$410,000 USDLogistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process

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TL;DR - We’re looking for a Founding GTM (Account Executive) to drive Lovable’s next chapter of growth by bringing our AI-powered software creation platform to startups and enterprises across the world. You’ll own the full sales cycle - from outreach to close - turning curiosity into conviction and conviction into contracts. If you thrive on momentum, storytelling, and multi-threaded deals, this is your arena.Why Lovable?Lovable lets anyone and everyone build software with any language. From solopreneurs to Fortune 100 teams, millions of people use Lovable to transform raw ideas into real products - fast. We are at the forefront of a foundational shift in software creation, which means you have an unprecedented opportunity to change the way the digital world works. Over 2 million people in 200+ countries already use Lovable to launch businesses, automate work, and bring their ideas to life. And we’re just getting started.We’re a small, talent-dense team building a generation-defining company from Stockholm. We value extreme ownership, high velocity and low-ego collaboration. We seek out people who care deeply, ship fast, and are eager to make a dent in the world.What we’re looking forProven success closing mid-market or enterprise SaaS dealsTrack record of full-cycle selling - prospecting, discovery, demos, negotiation, and closeStrong communicator who can translate technical and product concepts into clear business valueExperience navigating multi-stakeholder deals across product, engineering, and leadershipBuilder mindset - you’re excited to shape GTM motion and systems in a fast-scaling orgCuriosity and hunger to master Lovable’s product deeply; you lead with insightComfort with ambiguous, high-growth environments where speed and precision matterBonus: Experience selling AI or developer tools, or working in product-led growth motionsWhat you’ll doOwn and run end-to-end sales cycles with precision - from first touch to signed contractCraft strategic account plans that identify whitespace, map stakeholders, and unlock expansionLead compelling demos and discovery sessions, tailoring value to technical and business buyersCollaborate cross-functionally with Product, Marketing, and Customer Success to deliver seamless onboarding and retentionBuild ROI-driven business cases that connect Lovable’s capabilities to real outcomesMaintain pipeline accuracy and forecasting discipline across all active dealsUse insights from customer conversations to influence product roadmap and GTM strategyChampion a repeatable, data-driven GTM motion as we scale from startups to enterpriseHow we hireFill in a short form then jump on an initial exploratory call.Discuss your experience in more depth during a round of interviews with us.Join us for a workshop lasting 1-2 days remote or onsite. We'll see how you tick and you get to meet the team and explore whether joining Lovable feels right for you.About your applicationPlease submit your application in English. It’s our company language so you’ll be speaking lots of it if you join.We treat all candidates equally - if you’re interested please apply through our careers portal.

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About Glean:   Founded in 2019, Glean is an innovative AI-powered knowledge management platform designed to help organizations quickly find, organize, and share information across their teams. By integrating seamlessly with tools like Google Drive, Slack, and Microsoft Teams, Glean ensures employees can access the right knowledge at the right time, boosting productivity and collaboration. The company’s cutting-edge AI technology simplifies knowledge discovery, making it faster and more efficient for teams to leverage their collective intelligence.   Glean was born from Founder & CEO Arvind Jain’s deep understanding of the challenges employees face in finding and understanding information at work. Seeing firsthand how fragmented knowledge and sprawling SaaS tools made it difficult to stay productive, he set out to build a better way - an AI-powered enterprise search platform that helps people quickly and intuitively access the information they need. Since then, Glean has evolved into the leading Work AI platform, combining enterprise-grade search, an AI assistant, and powerful application- and agent-building capabilities to fundamentally redefine how employees work.About the Role: As a Delivery Excellence Manager (DEM), you will lead and orchestrate successful implementations and long-term customer engagements, making our customers wildly successful. You will be responsible for ensuring efficient technical deployment, delivering proactive strategic guidance, and building then delivering against joint success plans. DEMs collaborate closely with Account Executives, AI Outcomes Managers, Solution Architects, Support and R&D on scoped engagements. You will: Help our customers achieve real business outcomes through the use of AI Serve as the primary lead on new customer deployments including hands on guidance for the setup of SSO and connectors  Own the end-to-end delivery from kickoff to  go-live thru renewal, ensuring clarity on expectations for all stakeholders  timeline, andServices budget. Create and execute on joint success plans that drive additional adoption, deepen engagement, and result in measurable business value. Overall program management. Develop, communicate, and execute tailored project plans; facilitate cross-functional collaboration across delivery, operations, and technical teams. Provide a blend of technical guidance and strategic partnership, acting as escalation manager when necessary. Monitor and report on deployment progress, customer adoption, and satisfaction metrics. Proactively identify risks or blockers and drive resolution—escalating internally when appropriate. Guide and document improvements for onboarding processes, playbooks, and best practices. Contribute to continuous process and product improvements by providing actionable feedback and participating in internal initiatives About you: 3-5 years of experience in technical deployment, implementation management, or technical account management of SaaS products at Enterprise customers. Strong understanding of software development life cycles and methodologies, including Agile and DevOps practices. Familiarity with cloud platforms (AWS, GCP, or Azure) and related services. Excellent analytical and problem-solving skills, with a focus on troubleshooting technical issues as well as  building consensus around outcomes and success measures. Strong organizational, project management, and communication abilities. Proven experience serving enterprise clients in both strategic, consultative and tactical, hands-on roles. Experience with process documentation, playbooks, and continuous improvement initiatives. Solutions-oriented mindset; trusted advisor with capability to own escalations. Capable of handling ambiguity and thriving in a fast-paced environment. Thrive in a customer-focused, tight-knit and cross-functional environment - being a team player and willing to take on whatever is most impactful for the company is a must Technical configuration and troubleshooting A proactive and positive attitude to lead, learn, troubleshoot, and take ownership of both small tasks and large features Strong verbal and written communication skills for collaboration between customers and technical and non-technical stakeholders. Curiosity and tenacity Note: This role with require you to work in EMEA/US East hours. Location:  This role is hybrid (4 days a week in our Bangalore office) #LI-HYBRID

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About ArtisanAt Artisan, we’re building real AI employees - not copilots, not assistants, but autonomous teammates.Our first, Ava, is an AI BDR. She finds and researches leads, writes emails in customers’ tone of voice, runs outbound sequences, self-optimizes, and manages email deliverability infrastructure. She learns, adapts, and improves over time - just like a human would.Human team members use Artisan as their primary working platform, replacing a sprawling stack of sales tools, and have Artisans working alongside them.We went through Y Combinator (W24) and have raised $35M+ from top investors. We’re at $7M+ ARR, with hundreds of customers including Remote, Quora, and SumUp. We’re currently working on Ava 2.0, pushing the boundaries of what an AI employee can do. And we're hiring.Your MissionYou’ll design, build, and scale the backend that powers AI employees while following our principles:Velocity is Everything: keep the 20/80 rule in mind, delay kills growthThink Like a Founder: ship with quality, have strong opinions, and speak up if you disagreeOperate With Efficiency: put the customer first, write it down, and use AI wherever possibleCommunication Rules Everything: be clear and concise, give candid, unsolicited feedbackMeetings, But Make Them Useful: don’t attend meetings where you don’t add or extract value; Presence ≠ productivityVibes Matter: have a positive attitude, make others feel appreciated, we’re here to winWhat You Bring3+ years of backend engineering experience in high-growth environments, preferably early-stage or Series B.Strong experience building scalable, data-intensive services with modern APIs and robust infrastructure.Proficiency with AWS and GitHub Actions.Deep understanding of distributed systems, APIs, reliability, performance, and database systems (SQL + NoSQL).Experience with modern stacks - TypeScript/Node preferred, but equivalent backend stacks are welcome.Demonstrated track record of ownership - leading parts of systems independently and shipping with impact.Excellent communication, clarity in articulating architecture to technical and non-technical stakeholders.What Makes This Role Stand OutStay relevant: At Artisan we are creating AI employees and you'll learn how to not be replaced by one.Ownership and autonomy: You'll be given trust, and expected excellence.Compensation: Real equity upside and compensation aligned with high expectations and high impact.Culture: Have a chat with our teammates, each and everyone has a clear reason about why they love it.DetailsRole: EngineeringEng type: BackendJob type: Full-timeExperience: 3+ yearsLocation: BrazilRemote: Remote

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About Xaira Therapeutics Xaira is an innovative biotech startup focused on leveraging AI to transform drug discovery and development. The company is leading the development of generative AI models to design protein and antibody therapeutics, enabling the creation of medicines against historically hard-to-drug molecular targets. It is also developing foundation models for biology and disease to enable better target elucidation and patient stratification. Collectively, these technologies aim to continually enable the identification of novel therapies and to improve success in drug development. Xaira is headquartered in the San Francisco Bay Area, Seattle, and London.About the Role We are seeking a highly motivated Scientist/Senior Scientist to join our dynamic team at Xaira Therapeutics. In this role, you will spearhead the design and execution of cutting-edge experiments aimed at accelerating our drug discovery and development efforts by applying functional genomics approaches, developing high-throughput screens and driving new technology initiatives. The successful candidate should possess strong technical expertise & laboratory skills, have excellent written and oral communication skills, work productively in a collaborative cross-functional team environment, and keep current with the field of expertise, including literature and technology development.    Key Responsibilities Design, implement, and scale high-throughput functional screening strategies for binder discovery and lead characterization in mammalian systems. Evaluate and pilot emerging technologies and experimental workflows.  Develop and optimize automated workflows, ensuring data quality, reproducibility, and process efficiency Partner with drug discovery, computational biology, and AI-based protein design teams to analyze, interpret, and share insights from screening data. Independently manage multiple projects, ensuring timely delivery of high-quality data and adherence to team goals. Maintain accurate records of experiments, protocols, and findings, and contribute to internal and external scientific presentations. Qualifications Ph.D. in Genetics, Molecular Biology, Cell Biology, Biochemistry, Functional Genomics, or related field, with 1-3 years of postdoctoral or industry experience.  Proficiency with molecular biology techniques, complex library construction, flow cytometry and cell line engineering  Experience with high throughput antibody display technologies, including yeast, phage or mammalian display is a plus Strong analytical skills and the ability to troubleshoot complex experimental issues independently. Strong data analysis capabilities, including proficiency with visualization and statistical software (e.g., GraphPad Prism, R, Python). Excellent written and verbal communication skills; ability to present scientific findings clearly and concisely to diverse audiences. Enthusiastic team player who can work effectively across interdisciplinary teams.   Compensation The base pay range for this contract temp position is expected to be $75-95 hourly; however, the base pay offered may vary depending on the market, job-related knowledge, skills and capabilities, and experience.  Xaira Therapeutics an equal-opportunity employer. We believe that our strength is in our differences. Our goal to build a diverse and inclusive team began on day one, and it will never end. TO ALL RECRUITMENT AGENCIES: Xaira Therapeutics does not accept agency resumes. Please do not forward resumes to our jobs alias or employees. XairaTherapeutics is not responsible for any fees related to unsolicited resumes.

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About Us Observe.AI is the leading AI agent platform for customer experience. It enables enterprises to deploy AI agents that automate customer interactions, delivering natural conversations for customers with predictable outcomes for the business. Observe.AI combines advanced speech understanding, workflow automation, and enterprise-grade governance to execute end-to-end workflows with AI agents. It also enables teams to guide and augment human agents with AI copilots, and analyze 100% of human and AI interactions for insights, coaching, and quality management. Companies like DoorDash, Affordable Care, Signify Health, and Verida use Observe.AI to transform customer experiences every day by accelerating service speed, increasing operational efficiency, and strengthening customer loyalty across every channel. Why Join Us We’re looking for an AI Agent Engineer to lead the charge in building and deploying enterprise-grade Voice, Chat AI agents and AI Copilot. This role is hands-on, customer-facing, and pivotal in bringing AI solutions to life - from design and integration to deployment and optimization. You’ll own the end-to-end lifecycle of AI agents: building, integrating, testing, demoing to clients, deploying into production, and tuning performance. What you’ll be doing Build & Deploy Agents: Own the full AI agent build process - prompts, workflows, integrations, telephony setup, and evaluation forms. Client Engagement: Lead weekly demos, show progress, gather feedback, and act as the primary technical point of contact once a solution is defined. Systems Integration: Configure APIs, data maps, authentication, error handling, and connect to CRMs, databases, or knowledge systems. Telephony Integration: Set up SIP/CCaaS/PSTN routing, pass metadata, configure fallbacks, and troubleshoot call quality. Optimization: Monitor performance, refine prompts, test iteratively, and ensure agents meet automation and containment targets. Strategic Partner: Translate customer requirements into actionable solutions; work consultatively to unblock challenges in security, connectivity, or knowledge ingestion. Shadow Core Engineering: Collaborate with product/engineering teams for deep technical fixes and platformization, while independently leading client delivery. What you'll bring to the role 3+ years in conversational AI, ML engineering, or system integration with hands-on delivery of AI/LLM-based solutions. Strong skills in prompt engineering, workflow building, API integration, and telephony (SIP, Twilio, Amazon Connect, etc.). Familiarity with LLMs (GPT, Claude, Gemini), vector DBs, and orchestration frameworks (LangChain, LlamaIndex, etc.). ML expertise in embeddings, retrieval-augmented generation (RAG), evaluation frameworks, fine-tuning models, and performance optimization. Solid programming skills (Python, JavaScript, or similar). Comfort leading customer-facing discussions - from deep technical troubleshooting to weekly project demos. Strong problem-solving mindset: ability to find workarounds, unblock integrations, and adapt to customer-specific ecosystems. Bachelor’s degree in Computer Science, Engineering, or a related technical field Hands-on experience with Integration Platform-as-a-Service (iPaaS) providers, such as n8n, Zapier, or similar platforms and proficient in API integrations and data flow management. Strong experience in telephony integrations, including knowledge of protocols like SIP, PSTN, and other telephony technologies. Perks & Benefits Competitive compensation including equity Excellent medical, dental, and vision insurance options Flexible time off  10 Company holidays + Winter Break and up to 16-weeks of parental leave 401K plan Quarterly Lifestyle Spend Monthly Mobile + Internet Stipend Pre-tax Commuter Benefits Salary Range The base salary compensation range targeted for this full-time position is $108 - 170K per annum. Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives and equity (in the form of options). This salary range is an estimate, and the actual salary may vary based on the Company’s compensation practices. Our Commitment to Inclusion and Belonging Observe.AI is an Equal Employment Opportunity employer that proudly pursues and hires a diverse workforce. Observe AI does not make hiring or employment decisions on the basis of race, color, religion or religious belief, ethnic or national origin, nationality, sex, gender, gender identity, sexual orientation, disability, age, military or veteran status, or any other basis protected by applicable local, state, or federal laws or prohibited by Company policy. Observe.AI also strives for a healthy and safe workplace and strictly prohibits harassment of any kind. We welcome all people. We celebrate diversity of all kinds and are committed to creating an inclusive culture built on a foundation of respect for all individuals. We seek to hire, develop, and retain talented people from all backgrounds. Individuals from non-traditional backgrounds, historically marginalized or underrepresented groups are strongly encouraged to apply. If you are ambitious, make an impact wherever you go, and you're ready to shape the future of Observe.AI, we encourage you to apply. For more information, visit www.observe.ai.  #LI-Remote

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About Mistral At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life. We democratize AI through high-performance, optimized, open-source and cutting-edge models, products and solutions. Our comprehensive AI platform is designed to meet enterprise needs, whether on-premises or in cloud environments. Our offerings include le Chat, the AI assistant for life and work. We are a dynamic, collaborative team passionate about AI and its potential to transform society.Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between France, USA, UK, Germany and Singapore. We are creative, low-ego and team-spirited. Join us to be part of a pioneering company shaping the future of AI. Together, we can make a meaningful impact. See more about our culture on https://mistral.ai/careers. About The Job Mistral AI is seeking Applied Scientists and Research Engineers focused on model efficiency and edge deployment. You will research and build ultra‑efficient models and toolchains for on‑device inference across CPUs, GPUs, NPUs, and specialized accelerators. Your work will enable Mistral models to run privately, reliably, and fast on mobile, desktop, and embedded devices. What you will do • Run pre-training, post-training and deploy state of the art models on clusters with thousands of GPUs. You don’t panic when you see OOM errors or when NCCL feels like not wanting to talk.• Design and evaluate quantization, pruning, distillation, and sparsity methods for LLMs and multimodal models.• Build deployment stacks, optimize kernels and memory layouts.• Run large‑scale experiments to balance accuracy, latency, throughput, and power under tight memory constraints; profile and fix bandwidth/compute bottlenecks.• Develop tooling for calibration data generation, mixed‑precision training, quant‑aware finetuning, structured/unstructured sparsity, and compilation passes.• Manage research projects and communications with client research teams. About you • You are fluent in English, and have excellent communication skills. You are at ease explaining complex technical concepts to both technical and non-technical audiences.• You’re not afraid of contributing to a big codebase and can find yourself around independently with little guidance.• You’ve a deep understanding of quantization trade‑offs, hardware constraints, and compiler stacks• You’re expert with PyTorch or JAX; strong C++/CUDA or low‑level performance skills a plus; production‑grade Python.• You don’t need roadmaps: you just do. You don’t need a manager: you just ship.• Low-ego, collaborative and eager to learn.• You have a track record of success through personal projects, professional projects or in academia. It would be great if you • Hold a PhD / master in a relevant field (e.g., Mathematics, Physics, Machine Learning), but if you’re an exceptional candidate from a different background, you should apply.• Have contributed to a large codebase used by many (open source or in the industry).• Have a track record of publications in top academic journals or conferences.• Contributions to open‑source inference/compilers stacks.• Love improving existing code by fixing typing issues, adding tests and improving CI pipelines.• Have experience optimizing inference on edge devices Benefits We have local offices in Paris, London, Marseille, Singapore and Palo Alto. France 💰 Competitive cash salary and equity🥕 Food : Daily lunch vouchers🥎 Sport : Monthly contribution to a Gympass subscription 🚴 Transportation : Monthly contribution to a mobility pass🧑‍⚕️ Health : Full health insurance for you and your family🍼 Parental : Generous parental leave policy🌎 Visa sponsorship UK 💰 Competitive cash salary and equity🚑 Insurance🚴 Transportation: Reimburse office parking charges, or 90GBP/month for public transport🥎 Sport: 90GBP/month reimbursement for gym membership🥕 Meal voucher: £200 monthly allowance for its meals💰 Pension plan: SmartPension (percentages are 5% Employee & 3% Employer)

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About Us Observe.AI is the leading AI agent platform for customer experience. It enables enterprises to deploy AI agents that automate customer interactions, delivering natural conversations for customers with predictable outcomes for the business. Observe.AI combines advanced speech understanding, workflow automation, and enterprise-grade governance to execute end-to-end workflows with AI agents. It also enables teams to guide and augment human agents with AI copilots, and analyze 100% of human and AI interactions for insights, coaching, and quality management. Companies like DoorDash, Affordable Care, Signify Health, and Verida use Observe.AI to transform customer experiences every day by accelerating service speed, increasing operational efficiency, and strengthening customer loyalty across every channel. Why Join Us We’re looking for an AI Agent Experience Designer to design, co-build, and optimize human - AI collaboration patterns that make AI agents both practical and transformative. You’ll own the end-to-end agent experience: gathering requirements, blueprinting conversational flows, defining usability guardrails, and ensuring post-launch performance meets business outcomes. This role sits at the intersection of design, product, and AI engineering, shaping how real customers interact with Voice & Chat AI agents across industries. What you’ll be doing Strategic Planning & Discovery Lead customer workshops to uncover high-impact automation opportunities. Analyze operations and conversations to identify where VoiceAI can create the most value. Partner with customers to define success metrics and ROI targets. Translate insights into agent personas, usability guidelines, conversation samples, and error-handling strategies. Agent Experience Design & Optimization Map and document conversational journeys that reflect customer expectations and real-world use cases. Design usability-driven blueprints that surface corner cases, exception handling, and escalation paths. Configure experience requirements in collaboration with AI Agent Engineers and Engagement Managers. Use analytics, transcripts, and customer feedback to continuously refine and optimize agent experience. Customer Success & Implementation Guide customers through the experience-design lifecycle - from concept to post-launch optimization. Train customer teams on best practices for managing VoiceAI usability and conversation design. Monitor live agent performance, track outcomes, and recommend improvements. Collaborate with Product and Engineering teams to influence platform features and standards. Document reusable design frameworks and share best practices across accounts. What you'll bring to the role 3+ years of experience designing conversational systems (IVRs, chatbots, assistants) or human - AI interaction frameworks. Conversational AI Expertise: Ability to design natural, usable dialogue and flow across industries. Human Computer Interaction (HCI): Strong grounding in HCI principles, with the ability to design seamless human - AI workflows. Communication & Facilitation: Skilled at running workshops, presenting designs to executives, and aligning diverse stakeholders. Prompt Engineering Skills: Ability to write and refine effective LLM prompts, tuned for performance and consistency. Technical Awareness: Familiarity with APIs and system dependencies; able to design within technical constraints and collaborate with engineers effectively. Data-Driven Mindset: Comfort using analytics tools (e.g. Looker) to track and optimize conversational outcomes Preferred: Background in HCI, Cognitive Science, Business, or CS, prior work on enterprise AI deployments or high-impact conversational systems. Perks & Benefits Competitive compensation including equity Excellent medical, dental, and vision insurance options Flexible time off  10 Company holidays + Winter Break and up to 16-weeks of parental leave 401K plan Quarterly Lifestyle Spend Monthly Mobile + Internet Stipend Pre-tax Commuter Benefits Salary Range The base salary compensation range targeted for this full-time position is $95 - 140K per annum. Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives and equity (in the form of options). This salary range is an estimate, and the actual salary may vary based on the Company’s compensation practices. Our Commitment to Inclusion and Belonging Observe.AI is an Equal Employment Opportunity employer that proudly pursues and hires a diverse workforce. Observe AI does not make hiring or employment decisions on the basis of race, color, religion or religious belief, ethnic or national origin, nationality, sex, gender, gender identity, sexual orientation, disability, age, military or veteran status, or any other basis protected by applicable local, state, or federal laws or prohibited by Company policy. Observe.AI also strives for a healthy and safe workplace and strictly prohibits harassment of any kind. We welcome all people. We celebrate diversity of all kinds and are committed to creating an inclusive culture built on a foundation of respect for all individuals. We seek to hire, develop, and retain talented people from all backgrounds. Individuals from non-traditional backgrounds, historically marginalized or underrepresented groups are strongly encouraged to apply. If you are ambitious, make an impact wherever you go, and you're ready to shape the future of Observe.AI, we encourage you to apply. For more information, visit www.observe.ai.  #LI-Remote

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About LangChain:At LangChain, our mission is to make intelligent agents ubiquitous. We provide the agent engineering platform and open source frameworks developers need to ship reliable agents fast.Our open source frameworks, LangChain and LangGraph, see over 90+ million downloads per month and help developers build agents with speed and granular control. LangSmith offers observability, evaluation, and deployment for rapid iteration, enabling teams to transform LLM systems into dependable production experiences.LangChain is trusted by millions of developers worldwide and powers AI teams at companies like Replit, Clay, Cloudflare, Harvey, Rippling, Vanta, Workday, and more.About the role:LangChain is hiring a Senior Fullstack Engineer to build the foundational product features and integrations that power user acquisition, rapid experimentation, and self-serve expansion. This is a high-impact 0→1 role on a newly formed team responsible for building growth systems from the ground up. You’ll work closely with product, design, GTM, and analytics to streamline activation, optimize packaging, and deliver a seamless growth story for developers and enterprise customers alike. This role will be in person 5 days/week in New York City, San Francisco, or Boston.What you will do:Work across our stack (React, TypeScript, Python, Go) to deliver full-stack product features that drive growth and retentionBuild flexible experimentation systems and processes capable of targeting diverse growth metricsParticipate in data-driven, rapid growth experiments across the user funnel from onboarding to monetizationDesign and ship new onboarding features and improvements that accelerate time to valueBuild growth levers including usage-based guardrails, smart upgrade triggers, and contextual CTAsCollaborate closely with product, design, GTM, and analytics teams to identify, prioritize, and execute high-impact growth opportunitiesHow to be successful in this role:Extensive fullstack software development experience using React, TypeScript, and Go and/or PythonStrong product intuition and a track record of working on monetization, pricing, or activation featuresFamiliarity with usage metering, subscriptions, and internal tooling for pricing experimentsComfortable working with REST APIs, Postgres, Redis, and modern backend infraStartup DNA with the ability to thrive in fast-paced, zero-to-one environmentsSelf-directed with an ownership mindsetBonus: Experience building for developers or product-led growth platformsBonus: Familiarity with LLMs, GenAI applications, or agentic frameworks

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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: Anthropic is seeking an exceptional leader to drive our strategic go-to-market partnership with cloud partners. In this pivotal role, you will own and scale our most significant strategic relationships for Anthropic’s acceleration into South Korea, responsible for large scale revenue opportunities through our cloud partnerships. You will work closely with senior leadership across both partner organizations to drive joint success, shape strategy, and accelerate the adoption of Anthropic's AI capabilities through our Global Partner ecosystem. You will build and lead the strategy to maximize our cloud partnerships potential while ensuring our solutions are deployed safely and responsibly. This role offers the unique opportunity to shape how frontier AI technology is commercialized at massive scale. In this role, you will drive exponential growth for Anthropic in South Korea through our cloud partnerships while shaping how companies adopt and implement frontier AI technology. You'll be responsible for building programs that will scale across South Korean markets and segments, and developing the blueprint for how we and our cloud partners in the region will partner to drive joint success. Responsibilities: Develop and execute comprehensive GTM strategy for our cloud partnerships, including co-selling motions, enablement programs, and joint business plans Drive strategic planning and execution of joint marketing and sales initiatives, including major customer engagements Build and maintain executive-level relationships across cloud partners Own forecasting, pipeline development, and revenue targets for the partnership Create and implement scalable processes for partnership operations, including escalation management and reporting Provide strategic market intelligence and competitive insights to inform product and business strategy Design and execute segment-specific sales plays and enablement programs Lead cross-functional efforts with U.S. GTM teams, providing strategic direction and operational excellence for how these teams can partner effectively with South Korean cloud partners Lead quarterly and annual business reviews with key stakeholders Identify and develop strategic opportunities to expand partnership scope and impact You may be a good fit if you have: 10+ years of enterprise technology experience, with at least 7 years in strategic partnerships and/or enterprise sales leadership. Experience leading strategic partnerships for a B2B SaaS Startup strongly preferred.  Proven track record of 0-1 building and scaling multi-billion dollar technology partnerships in South Korea, including cloud providers (e.g. AWS, Google Cloud) Deep understanding of enterprise software and cloud services Experience leading large, cross-functional teams in complex organizational environments Strong executive presence and demonstrated ability to influence senior stakeholders Track record of developing and executing successful co-selling strategies Excellence in strategic planning, business operations, and program management Deep understanding of enterprise sales motions and channel dynamics Ability to balance strategic thinking with tactical execution Experience working with technical products and translating complex capabilities into business value Logistics 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

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Company Overview At Skild AI, we are building the world's first general purpose robotic intelligence that is robust and adapts to unseen scenarios without failing. We believe massive scale through data-driven machine learning is the key to unlocking these capabilities for the widespread deployment of robots within society. Our team consists of individuals with varying levels of experience and backgrounds, from new graduates to domain experts. Relevant industry experience is important, but ultimately less so than your demonstrated abilities and attitude. We are looking for passionate individuals who are eager to explore uncharted waters and contribute to our innovative projects.Position Overview As a Deployment Operations Specialist, you will be the connective tissue between customers, product, and engineering teams. You will ensure that our robotic systems deliver consistent value in the field, proactively resolve operational challenges, and build processes that scale. This role requires a unique mix of technical acumen, customer empathy, and operational rigor. Responsibilities Customer Site Operations: Oversee daily operations at customer locations, ensuring robotic systems function reliably and meet service expectations. Customer Satisfaction: Enhance the customer experience during deployments by identifying pain points, driving solutions, and ensuring smooth handoffs between teams. Change Management: Manage customer change requests, clearly communicating schedule and budget impacts to all stakeholders. Issue Management: Act as the supporting point of contact for escalated technical issues, including root cause analysis and early detection of system anomalies. Field Testing & Maintenance: Assist with site mapping, on-site system testing, preventative maintenance, and upgrades to ensure long-term reliability. Performance Reporting: Compile, analyze, and present operational performance metrics (e.g., task success rates, system health) for regular reviews. Transition check-ins from weekly (during pilot) to monthly or quarterly for steady-state operations. Process Improvement: Identify, design, and implement process improvements that enhance operational efficiency and customer outcomes. Training & Enablement: Coordinate customer training sessions and establish scalable support models for customer success teams. Travel: Spend up to 20% of your time traveling to customer sites for deployment support, operational reviews, and field testing. Preferred Qualifications 6+ years of experience in product operations, technical operations, or field deployment (preferably robotics, hardware + software systems, or complex enterprise SaaS). Strong technical problem-solving skills with the ability to quickly learn complex systems. Proven track record of supporting cross-functional customer stakeholders, product, and engineering.  Excellent communication and organizational skills with the ability to distill complex issues into clear updates. Experience with performance metrics reporting, root cause analysis, and operational process improvement.

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Company Overview At Skild AI, we are building the world's first general purpose robotic intelligence that is robust and adapts to unseen scenarios without failing. We believe massive scale through data-driven machine learning is the key to unlocking these capabilities for the widespread deployment of robots within society. Our team consists of individuals with varying levels of experience and backgrounds, from new graduates to domain experts. Relevant industry experience is important, but ultimately less so than your demonstrated abilities and attitude. We are looking for passionate individuals who are eager to explore uncharted waters and contribute to our innovative projects.Position Overview We are seeking a Robotics Technician to help sustain and improve Skild’s internal robot operations. In this role, you will take ownership of complex diagnostics, repairs, and design improvements to keep our robotic systems running smoothly. You will work closely with AI and robotics engineers, as well as operations managers, to ensure technical issues are quickly identified, root-caused, and resolved—driving reliability and scalability across our fleet. Responsibilities Diagnose, troubleshoot, and repair complex mechanical, electrical, software, and perception system issues across a large fleet of robots. Collaborate with engineers to identify recurring issues, recommend design improvements, and enhance serviceability. Communicate technical findings clearly and contribute to documentation, repair manuals, and troubleshooting guides. Perform CAD design, prototype fabrication, and robotic hardware assembly. Improve embedded control systems and implement electromechanical and perception systems. Conduct root cause analysis, debugging, and testing for sensors, edge compute devices, and control systems. Build dashboards (Looker, Tableau) and develop automation scripts in Python and Linux. Maintain detailed records of repairs, maintenance activities, and recurring technical issues. Preferred Qualifications 5+ years of full time work experience in relevant industry Strong experience in diagnosing and repairing mechanical, electrical, and software systems. Proficiency in CAD design and prototype fabrication. Familiarity with embedded control systems, perception technologies, and electromechanical components. Excellent communication skills for cross-functional collaboration. Experience supporting large fleets of robots or complex automated systems.  

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About LorikeetLorikeet is the most powerful customer support AI for complex businesses like fintechs, healthtechs, marketplaces and delivery services.We’re doing this by building ground up from the premise that most support responses should be automated with transparent, customizable AI, and that support teams should spend their time managing automation and engaging with complex cases, not grinding through high volumes of simple tickets. Once teams are freed from reactive support, we want to help them tackle what’s next: providing personalized concierge services to their customers.To deliver this combination of powerful AI systems and well designed tooling we’re leveraging Jamie’s experience as an early member of Google’s generative AI team and Steve’s experience building for operational teams at Stripe, as well as the experience of our team who’ve joined us from places like Stripe, Canva, Atlassian, Dropbox and Dovetail.We are growing fast, have paying customers, real revenue, an exciting roadmap and a strong sales pipeline. We’ve raised over USD 50m from leading VCs and angel investors, including QED, Blackbird, Square Peg, Claire Hughes Johnson (ex Stripe COO), Cristina Cordova (Linear COO), Bob Van Winden (Stripe Head of Support), and Cos Nicolaescu (Brex CTO).Our global customers include:The largest telehealth company in Australia,The largest bank for teens in the US,One of the largest NFT marketplaces by trading volumeOne of the largest Web3 gaming companies… and a handful of other enterprise customers with over 1 million support tickets a year.What’s unique about this opportunity?Technical founders and an engineering-led culture. Most at Lorikeet write code. Everyone at Lorikeet owns working with our users and building a great product for them. Engineers will take ownership of challenging problems and define and implement solutions.Warm, mature, in-person, flexible culture. Low ego, high trust team. No tolerance for ‘talented jerks’. We value working together in office as the default in our (quite nice!) Surry Hills office. Folks on the team have young families, so we embrace a) working efficiently, and b) working flexible hours to fit in life priorities outside of work. We’re committed to building a diverse team and really encourage folks from underrepresented backgrounds to reach out - we value user obsession and eagerness to learn over traditional credentials.High pay, high expectations, high performance. We’re building a small, great team. Engineers are generally underpaid in Sydney and under compensated with equity. We aim to match unicorn / scale up pay at base salary and offer a potentially life-changing equity stake in the business. Our team get the same monthly updates we send to our investors because they’re investors and owners too.On the technical cutting edge. With our users we’re defining what an AI-first SaaS product looks like. No one has figured out what the UI/UX, capabilites and data models of an AI first company are - it’s white space for us to invent. The AI agent problems we’re solving are beyond the cutting edge at the biggest research labs. We’re building on a modern tech stack, with Typescript, React/Remix, PrismaORM, NestJS and some Python sprinkled in. Knowledge of that stack is nice, but we know good engineers will pick up new languages.No nonsense recruitment process. The process is: 1) informal chats with Steve and Jamie to hear our pitch and understand your interests and goals, 2) a ~two day paid work trial where you come in and ship with us. There’s no better way for each of us to figure out if we like working together than to work together!About the role and youYou'll be building a powerful project that is truly innovating the world of customer support. Together we'll be defining what an AI-first SaaS product looks like. No one has figured out what the UI/UX, capabilities and data models of an AI first company are - it’s white space for us to invent. The AI agent problems we’re solving are beyond the cutting edge at the biggest research labs.We'd love to speak with you ifYou are excited by working with a top caliber team tackling the aboveYou have 2-5 years of experience shipping code at a startup or larger company with high standardsYou're looking for a career-defining change to grow rapidly with a fast growing companyIf you don't quite match this and are from and under-represented background we strongly encourage you to reach out. We know first hand that diverse teams are higher performing and are proud that our team reflects a broad spectrum of identities and lived experiences..

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Company Overview At Skild AI, we are building the world's first general purpose robotic intelligence that is robust and adapts to unseen scenarios without failing. We believe massive scale through data-driven machine learning is the key to unlocking these capabilities for the widespread deployment of robots within society. Our team consists of individuals with varying levels of experience and backgrounds, from new graduates to domain experts. Relevant industry experience is important, but ultimately less so than your demonstrated abilities and attitude. We are looking for passionate individuals who are eager to explore uncharted waters and contribute to our innovative projects.  Position Overview You will have the unique opportunity to work with our cutting-edge robots and help shape the future of their capabilities. Data collection is a critical component of building robotic intelligence, and we're looking for operators who have a high degree of attention to detail, ability to learn and follow instructions for new setups and tasks quickly, and a problem-solving attitude. Responsibilities Operate robotic systems for assigned tasks (e.g., packing, insertion, assembly, etc.). Follow established procedures for teleoperation and data collection. Maintain efficiency, safety, and instructional accuracy in robotic operations. Collaborate with supervisors and team leads to optimize workflow. Adhere to company policies regarding workplace conduct and performance standards. Preferred Qualifications Physical ability to remain seated for extended periods and perform repetitive tasks Ability to communicate and follow instructions Baseline technical literacy Other Details This role requires you to be available for a minimum of 3 8-hour shifts per week. You will be expected to meet a bar of performance on both the quality and quantity of the data you collect.   

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About UsTavus is a research lab pioneering human computing. We’re building AI Humans: a new interface that closes the gap between people and machines, free from the friction of today’s systems. Our real-time human simulation models let machines see, hear, respond, and even look real—enabling meaningful, face-to-face conversations. AI Humans combine the emotional intelligence of humans with the reach and reliability of machines, making them capable, trusted agents available 24/7, in every language, on our terms.Imagine a therapist anyone can afford. A personal trainer that adapts to your schedule. A fleet of medical assistants that can give every patient the attention they need. With Tavus, individuals, enterprises, and developers can all build AI Humans to connect, understand, and act with empathy at scale.We’re a Series A company backed by world-class investors including Sequoia Capital, Y Combinator, and Scale Venture Partners. Be part of shaping a future where humans and machines truly understand each other.The RoleWe're hiring a Senior Product Engineer to be a technical driver on the Tavus Platform.This isn’t your first rodeo. You’ve built from 0→1 before, you have strong opinions about architecture and design, and you know how to ship polished, high-performing web experiences. You’ll work closely with design, product, and engineering leadership to build intuitive and beautiful experiences, fast.You’ll spend roughly 70% of your time on the frontend, crafting elegant, performant user interfaces, and 30% on the backend, wiring up APIs, integrations, and systems that make the magic happen. You’ll be an early technical voice helping shape not just what we build, but how we build from architecture decisions to our culture of speed and quality.If you thrive in environments where ownership is real, ambiguity is high, and shipping fast is the norm then you’ll feel right at home here.Your MissionJump into our existing React codebase and own the development and delivery of platform features, from ideation to launch while upholding a high UX bar. You’ll work closely across many team (design, research, etc) to shape the product direction. We move fast and keep our layers thin so you’ll have an outsized voice in deciding what we build, how we prioritize, and how users experience the platform.Contribute across the full product stack as needed to ensure seamless product continuityRequirementsYou've worked on multiple consumer-facing products, ideally from scratch You care deeply about design and user experience - you have strong taste and the confidence to defend it You bring a senior mindset: you set direction, own decisions, and gets things over the finish line. Shipping is a skilled and you've honed it You thrive in startup environments where you can be autonomous, opinionated, and fast-moving You communicate the complex with incredible clarity and leverage your communication abilities to teach othersNice-to-HavesExposure to LLMs, video, or AI/ML-powered products Benefits & CultureWhen you join Tavus, you’re joining a diverse and supportive team. Our work is driven by our people, and our success is shared by all. This position has a flexible work schedule, unlimited PTO, competitive healthcare, and gear stipends, as well as plenty of fun. At the end of the day, we want Tavus to be a place for you to learn, directly drive impact, and work with a team you love.To learn more about our team culture and benefits, check out our hiring page.Tavus is growing fast, and we’d like you to grow with us. If you’re excited to get your hands dirty and help make machines more human, drop your resume and we’ll be in touch.We are not looking for cultural fits, we are looking for culture creators. Diversity is what drives our success – it’s at the core of how we hire, communicate, and work. We are inclusive to all and combine our diverse backgrounds, skill sets, and perspectives to build the best experiences for our clients.

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We’re hiring a Product Designer to craft the interfaces and experiences that power Antimetal’s investigation and automation engine.This role is core to our product. You’ll design and ship high-performance UIs, prototype new interaction models, and ensure our frontend is as scalable and reliable as the infrastructure it represents.About AntimetalAntimetal is building the future of infrastructure management. We're starting by creating a platform that investigates, resolves, and prevents issues—giving engineers their time back to focus on what they do best: building great products.What You’ll Do:Design and ship high‑quality product experiences—from early concepts to polished prototypes and visuals.Translate complex AI reasoning into an actionable experience providing wisdom.Own our visual language and design system to ensure pixel-perfect, consistent execution.Use research, data, and iteration to continually improve the end‑to‑end experience.Work closely with engineering to ship high-fidelity experiences with systems thinking.What you bring:A portfolio that shows real product and business impact.Deep UX expertise—clear user flows, interaction design, and usability.Sharp visual craft across design, typography, and layout; a refined eye for detail.Experience designing data‑rich or AI‑native interfaces.Comfortable in a fast-moving, high-performance startup environment.Excited to dive into agents and LLMs and help define how AI‑first products should look and behave.Bonus:Experience with data-intensive products, developer tools, or observability platforms.Exposure to real-time applications or non-deterministic UX (e.g., AI/ML systems).Experience at an early-stage startup, ideally in a role where design and engineering were closely intertwined.Strong product thinking skills.Who you are:Identify as a builder.Are excited to work in-person from our new and spacious office in New York.Love working in a startup environment (experience in a startup or obsession with going zero-to-one).Enjoy working with people who are ambitious, caring, and think in systems.Thrive in a fast-paced iterative environment where experimentation is essential.What we bring:Pay & ownership — Competitive salary with generous equity grants.Full coverage + retirement — Fully covered health, dental, and vision, plus retirement benefits.Unlimited PTO — Take the time you need to recharge.Dinner on late nights — Working late? Dinner is on us.Fitness stipend — Monthly support for your health and wellness.Tools of the trade — Any equipment you need to do your best work.Commute perks — Citi Bike + train benefits.Interview processApplication Review – Send us your stuff, and a quick note on why you're excited.Intro Chat: Share what you're looking for next and learn more about what we're building.Founder Interview: Talk with one of our founders in more detail about the role.Product thinking Interviews: We’ll have you complete a short exercise specific to the role.Onsite: Come onsite and meet the team through a series of 1:1 interviews, while also having the chance to share your work.Decision – We’ll move fast.