AI Software Engineer Jobs

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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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Perplexity is an AI-powered answer engine founded in December 2022 and growing rapidly as one of the world’s leading AI platforms. Perplexity has raised over $1B in venture investment from some of the world’s most visionary and successful leaders, including Elad Gil, Daniel Gross, Jeff Bezos, Accel, IVP, NEA, NVIDIA, Samsung, and many more. Our objective is to build accurate, trustworthy AI that powers decision-making for people and assistive AI wherever decisions are being made. Throughout human history, change and innovation have always been driven by curious people. Today, curious people use Perplexity to answer more than 780 million queries every month–a number that’s growing rapidly for one simple reason: everyone can be curious. Perplexity is seeking a highly skilled, experienced and hands-on Anti Fraud & Abuse Engineer to join our dynamic security team, revolutionizing the way people search and interact with the internet. You will be responsible for designing, implementing, and operating cutting-edge monitoring and detection systems to identify and prevent fraudulent behaviors and abuse of our products and services. Responsibilities Design, build, and operate monitoring and detection systems to identify and prevent fraudulent behaviors and abuse Perform adversary hunting to detect abuse and misuse of our products and services Analyze how our products and services are being misused or abused Track and mitigate cost impacts of fraud and abuse across our technology stack Research and anticipate emerging abuse techniques to stay ahead of evolving threats Build and maintain relationships with external threat intelligence partners and industry communities Establish best practices, tools, and processes for our fraud and abuse detection program Qualifications Experience designing, implementing, and operating fraud detection, abuse prevention, or security monitoring systems Background in security, adversarial machine learning, threat intelligence, or fraud investigations Strong data analysis skills, able to identify patterns and anomalies within large datasets Understanding of both technical and behavioral signals to support effective fraud prevention strategies Excellent communication skills, able to present to both technical and non-technical audiences  

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About H: H exists to push the boundaries of superintelligence with agentic AI. By automating complex, multi-step tasks typically performed by humans, AI agents will help unlock full human potential.H is hiring the world’s best AI talent, seeking those who are dedicated as much to building safely and responsibly as to advancing disruptive agentic capabilities. We promote a mindset of openness, learning, and collaboration, where everyone has something to contribute. About the Team: The Inference team develops and enhances the inference stack for serving H-models that power our agent technology. The team focuses on optimizing hardware utilization to reach high throughput, low latency and cost efficiency in order to deliver a seamless user experience. Key Responsibilities:Develop scalable, low-latency and cost effective inference pipelinesOptimize model performance: memory usage, throughput, and latency, using advanced techniques like distributed computing, model compression, quantization and caching mechanismsDevelop specialized GPU kernels for performance-critical tasks like attention mechanisms, matrix multiplications, etc.Collaborate with H research teams on model architectures to enhance efficiency during inferenceReview state-of-the-art papers to improve memory usage, throughput and latency (Flash attention, Paged Attention, Continuous batching, etc.)Prioritize and implement state-of-the-art inference techniquesRequirements:Technical skills:MS or PhD in Computer Science, Machine Learning or related fieldsProficient in at least one of the following programming languages: Python, Rust or C/C++Experience in GPU programming such as CUDA, Open AI Triton, Metal, etc.Experience in model compression and quantization techniquesSoft skillsCollaborative mindset, thriving in dynamic, multidisciplinary teamsStrong communication and presentation skillsEager to explore new challenges Bonuses:Experience with LLM serving frameworks such as vLLM, TensorRT-LLM, SGLang, llama.cpp, etc.Experience with CUDA kernel programming and NCCLExperience in deep learning inference framework (Pytorch/execuTorch, ONNX Runtime, GGML, etc.)Location: Paris or London.This role is hybrid, and you are expected to be in the office 3 days a week on average.The final decision for this will lie with the hiring manager for each individual roleWhat We Offer:Join the exciting journey of shaping the future of AI, and be part of the early days of one of the hottest AI startupsCollaborate with a fun, dynamic and multicultural team, working alongside world-class AI talent in a highly collaborative environmentEnjoy a competitive salaryUnlock opportunities for professional growth, continuous learning, and career developmentIf you want to change the status quo in AI, join us.

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About DecagonDecagon is the leading conversational AI platform empowering every brand to deliver concierge customer experience. Our AI agents provide intelligent, human-like responses across chat, email, and voice, resolving millions of customer inquiries across every language and at any time.Since coming out of stealth, Decagon has experienced rapid growth. We partner with industry leaders like Hertz, Eventbrite, Duolingo, Oura, Bilt, Curology, and Samsara to redefine customer experience at scale. We've raised over $200M from Bain Capital Ventures, Accel, a16z, BOND Capital, A*, Elad Gil, and notable angels such as the founders of Box, Airtable, Rippling, Okta, Lattice, and Klaviyo.We’re an in-office company, driven by a shared commitment to excellence and velocity. Our values—customers are everything, relentless momentum, winner’s mindset, and stronger together—shape how we work and grow as a team.About the TeamAt Decagon, we’re building AI agents that power real customer interactions for some of the world’s most ambitious companies. Our customers aren’t just reading docs — they’re building mission-critical systems with us. That means every word, every guide, and every example directly impacts adoption and trust.You’ll be joining a small, high-ownership team that moves fast, ships often, and cares deeply about clarity and craft. We work mostly in person and we treat documentation as a core product surface — not an afterthought.About the RoleAs a Technical Program Manager, you will lead the coordination and support the delivery of multiple AI agent development projects simultaneously for our largest customers, breaking down ambiguous goals into phased roadmaps with clear milestones to ensure on-time, high-quality outcomes.In this role, you willCoordinate cross-functional teams: Work across technical and non-technical stakeholders – Agent Product Management, Go-to-market, and engineering product – through the full agent development lifecycle, aligning requirements and timelines and proactively managing dependencies and risks .Plan and track project delivery: Co-own project planning activities, including scoping requirements, prioritizing agent build roadmaps, aligning on milestones/outcomes, and identifying & clearing blockers to keep each implementation on track .Ensure transparency and alignment: Facilitate clear communication across all stakeholders, providing regular status updates and surfacing issues early so there are no surprises. You’ll also occasionally interface with customer teams to align on schedules or deliverables.Continually improve processes: Apply data-driven insights and lessons learned from each deployment to refine our playbooks and processes, ensuring we scale our customer implementations efficiently with high standards of quality.Your background looks something like this5+ years of experience as a program or project manager, ideally in the software-as-a-service (SaaS) industryStrong understanding of enterprise software delivery and experience driving successful customer implementations.Excellent project management skills — able to manage multiple complex builds simultaneously, prioritize effectively, and deliver on schedule.Exceptional communication and interpersonal skills, with the ability to build trust and coordinate across engineering, product, and customer teams.Analytical and structured thinker with the ability to identify and mitigate risks, resolve issues quickly, and make data-informed decisions.Technical acumen in the form of understanding technical concepts like APIs, integrations, or data flows, and can translate between technical and business audiences.Thrives in a fast-paced, dynamic environment, balancing multiple implementations while maintaining a high standard of quality and accountability.Even betterHands-on AI/LLM experience: Exposure to conversational AI or large language models – for example, you’ve built side projects or shipped features with LLMs.Customer-facing implementation expertise: Prior experience in a high-ownership, customer-facing role such as solutions architect or implementations lead, where you drove a project from pre-sales through post-launch.BenefitsMedical, dental, and vision benefitsTake what you need vacation policyDaily lunches, dinners and snacks in the office to keep you at your bestCompensation$150K - $230K + Offers Equity

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Lambda, The Superintelligence Cloud, builds Gigawatt-scale AI Factories for Training and Inference. Lambda’s mission is to make compute as ubiquitous as electricity and give every person access to artificial intelligence. One person, one GPU. If you'd like to build the world's best deep learning cloud, join us.  *Note: This position requires presence in our San Francisco or Seattle office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.About the RoleLambda Security protects some of the world's most valuable digital assets: invaluable training data, model weights representing immense computational investments, and the sensitive inputs required to leverage best of breed AI models. We're responsible for securing every byte that powers breakthrough artificial intelligence.As Manager of the Security Platform team, you'll build and lead a team of deeply security-aware software engineers who create the foundational tools and automation that enable Lambda to maintain security at scale without sacrificing velocity.Reporting to the Senior Manager of Security, you'll lead 3-4 engineers building platforms that serve three critical constituencies: Detection & Response needs operational tooling, Security Architecture needs automated enforcement of standards, and engineering teams need self-service capabilities that eliminate bottlenecks.You'll have direct access to deploy and run state-of-the-art LLMs on Lambda's infrastructure—a unique advantage enabling you to build intelligent security platforms that learn, adapt, and protect at a scale only possible when you own the AI infrastructure.Your success is measured in the problems other teams avoid because your platforms provide high-quality foundations.Your immediate focus will be on building your team, maturing our existing toolset, collecting requirements, and building a 6-12 month roadmap that aligns with the 2026 security strategic plan.We're looking for engineering managers who pair deep technical intuition with product sensibility and team-building excellence. If you're energized by multiplying security impact through excellent tooling, treating internal teams as customers, and building platforms where the secure path is the easy path, we'd love to talk.We value diverse backgrounds, experiences, and skills, and we are excited to hear from candidates who can bring unique perspectives to our team. If you do not exactly meet this description but believe you may be a good fit, please still apply and help us understand your readiness for this role. Your application is not a waste of our time.What You'll DoTeam Leadership & DevelopmentHire, develop, and retain a high-performing team of 3-4 deeply security-aware software engineers dedicated to building and operating production-grade security platforms.Foster a culture of technical excellence, collaboration, and continuous learning where engineers thrive through clear expectations, regular feedback, and opportunities for growth.Enable technical excellence through architectural and technical oversight, reviewing designs, assessing risk, and ensuring solutions are robust, maintainable, and scalable.Coach engineers in product thinking and platform ownership, helping them evolve from delivering features to managing services with measurable impact.Establish your team as the go-to platform builders, delivering solutions that meet any business need.Security Platform Product ManagementOwn the Security Platform roadmap, aligning it with Lambda's overall security and business objectives.Balance immediate security team needs against a strategic platform vision that yields compounding value.Proactively gather and meet customer needs that result in tools and platforms that are adopted voluntarily because they make secure development faster and easier.Operate as both technical and product leader, translating complex requirements into deliverable, incremental milestones that provide real impact early and often.Platform & Technical LeadershipEstablish Lambda's security data foundations: log pipelines, telemetry frameworks, and data services that empower decision-making across security functions.Build self-service security capabilities for engineering teams—authentication frameworks, secrets management systems, policy enforcement tooling, and security APIs that make the secure path the easy path.Direct the development of compliance automation that streamlines evidence collection, attestation, and reporting.Partner with the peer security teams to deliver operational tooling, incident response automation, and analysis systems that scale without toil.Ensure your team's platforms are reliable, monitored, and continuously improved based on real-world adoption and performance.Organizational & Strategic ContributionsPartner across the Security organization to deliver cohesive platform capabilities that enhance threat detection, prevention, and operational efficiency.Collaborate with engineering leadership to embed security into Lambda's development lifecycle, eliminating bottlenecks through self-service design and automation.Work effectively in a fast-moving startup environment where priorities shift, resources are constrained, and perfect solutions aren't possible. Make pragmatic trade-offs that deliver business value while building for the future.Communicate impact clearly to stakeholders who may not immediately see the connection between infrastructure work and business outcomes.Define measurable success criteria and maintain a 6–12 month roadmap that advances Lambda's security posture.What We Think a Candidate Needs to Demonstrate to Succeed5+ years of experience leading software engineering teams OR 5+ years of software engineering experience with 3+ years in engineering management.Proven ability to build, lead, and scale technical teams that deliver complex, high-impact platforms.Strong architectural intuition and product management sensibility; you can set vision, make tradeoffs, and deliver tools engineers love to use.Experience building security platforms, including understanding what makes them succeed or fail.Understanding of securing complex infrastructure environments, ideally including bare metal and cloud platforms, both as a consumer and a provider.Experience building automation-first systems that improve both velocity and security outcomes.Skilled communicator who can translate technical risk into business impact and build alignment across diverse stakeholders.Ability to thrive in a high-speed, high-ambiguity environment where you balance building for today while preparing for tomorrow's needs.Nice to HaveExperience building security platforms like SIEM/SOAR systems, security orchestration tools, compliance automation, or security data infrastructure.Deep familiarity with security platforms (e.g. Splunk/Elastic/Chronicle), secure-by-default infrastructure-as-code libraries (e.g. Terraform/CloudFormation), CI/CD systems, or secrets management (e.g. Vault, AWS Secrets Manager).Experience building data pipelines, analytics platforms, or data lakes for security use cases.Deep familiarity with SOC 2, ISO 27001, or similar compliance frameworks.Background in platform engineering, SRE, or building internal developer platforms.Experience enabling deep adoption of zero-trust architecture principles or building identity-centric security platforms.Excitement about leveraging Lambda's access to state-of-the-art LLMs for AI-powered security automation, orchestration, and analytics.Salary Range InformationThe annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.About LambdaFounded in 2012, ~400 employees (2025) and growing fastWe offer generous cash & equity compensationOur investors include Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, US Innovative Technology, Gradient Ventures, Mercato Partners, SVB, 1517, Crescent Cove.We are experiencing extremely high demand for our systems, with quarter over quarter, year over year profitabilityOur research papers have been accepted into top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOGHealth, dental, and vision coverage for you and your dependentsWellness and Commuter stipends for select roles401k Plan with 2% company match (USA employees)Flexible Paid Time Off Plan that we all actually useA Final Note:You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.Equal Opportunity EmployerLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

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Your New Role and Team Sanctuary, a world leader in developing AI-based control systems for humanoid robots, is hiring a Commercial Operations Analyst to support our growing commercial and account management functions. This role is foundational to how we qualify customer opportunities, analyze business cases, and connect customer use cases to our product roadmap. You’ll work closely with our Director of Account Management and collaborate across product, engineering, and deployment teams to manage the early stages of customer engagement—from the first inquiry to detailed use case documentation. This is an exciting opportunity for someone who thrives on analysis, communication, and collaboration, and who wants to grow at the intersection of technology, business strategy, and customer success within a robotics-driven organization. Success CriteriaQualify and filter inbound commercial inquiries with clarity and professionalism.Prepare concise customer profiles and maintain a centralized commercial database (Single Source of Truth).Conduct and document introductory customer calls, summarizing objectives and potential use cases.Support use case discovery and documentation in alignment with product and deployment teams.Perform high-level business case, market, and growth analyses to support opportunity assessment.Coordinate internal alignment across commercial, product, and engineering stakeholders.Assist with preparation of presentation materials and reports for both internal and external audiences.Demonstrate consistent organization, attention to detail, and follow-through on assigned commercial activities. Your Experience and QualificationsDegree in Business, Engineering, or a related technical field (MBA or business specialization an asset).1–3 years of experience in business analysis, commercial operations, or consulting.Understanding of basic business development or account management workflows.Comfortable handling data, documentation, and structured reporting.Familiarity with CRM or ERP systems (NetSuite, HubSpot, or similar).Strong written and verbal communication skills.Curiosity about advanced technology, AI, and robotics is essential. SkillsHighly organized, methodical, and self-driven.Analytical thinker with strong problem-solving and documentation skills.Effective communicator across technical and non-technical audiences.Adaptable and comfortable with ambiguity in fast-changing environments.Proactive and accountable, with a collaborative team-first mindset.Curious about how technology creates value for real-world customers.

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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 xAI xAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All engineers are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.About the Role The xAI datacenter control systems team is looking for a highly-motivated Controls Engineer to support the operation, design, and optimization of our advanced data center infrastructure. This person will play a key role in maintaining the stability and efficiency of the systems that power xAI's groundbreaking AI research. The Controls Engineer will collaborate with cross-functional teams to monitor and improve the performance of the data center throughout its lifecycle. This individual will work closely with Operations and Maintenance to ensure the systems are running smoothly, from day-to-day management to long-term upgrades and expansions. Responsibilities Executing the implementation and modification of Building Management System (BMS), Electrical Power Management System (EPMS), and any other SCADA systems critical for the operation of current and future data centers Overseeing the operation of critical systems such as chillers, pumps, and power distribution, using PLCs and other industrial control technologies Preparing specifications for Human-machine Interface (HMI) including graphics standard for interpretation by Grok Implementing and maintaining automated controls for fire safety and emergency shutdown procedures (ESOP) Developing a corporate-level reporting dashboard to monitor the operational trends such as power usage effectiveness (PUE) and performance/cost, and dynamically adjust the infrastructure set points for optimal performance Coordinating with utility providers to automate demand and operational responses to upstream grid events Required Qualifications Bachelor's Degree in an Engineering discipline: Controls and Computer Control Systems, Computer Science, Mechatronic Engineering, Automation Engineering, etc., or equivalent experience 5+ years of experience as a hands-on Controls Engineer working with industrial control systems Ignition SCADA Programming Experience Siemens TIA Portal PLC Programming Experience Physical Requirements: Ability to work for extended periods of time standing, when needed Work is often performed in tight quarters and physical dexterity is necessary to perform job functions Comfortable working in an environment requiring exposure to noise Ability to lift or carry 10-15lbs Ability to work evenings and weekends as needed Position is subject to pre-employment drug and random drug and alcohol testing Preferred Qualifications Advanced proficiency in programming industrial equipment in all IEC 61131-3 languages with a focus on structured text and ladder logic Experience with industrial control hardware from leading manufacturers (e.g. Siemens, SEL, Rockwell) Familiarity with Human Machine Interface (HMI / GUI) development using platforms such as Ignition, SEL, etc Methodical troubleshooting approach Strong documentation and communication skill set Technical project management mindset Team-player, takes initiative, and highly motivated xAI is an equal opportunity employer. California Consumer Privacy Act (CCPA) Notice

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Backend Engineer - Third Party Model This role is ideal for engineers who want to be on the forefront of the GenAI media revolution. Utilize your deep experience with backend APIs, robust http client and server design to build high-performance, reliable proxies to our partner model providers. Responsibilities Identify, design, and develop foundational HTTP proxies and fal serverless endpoints for 3rd party model providers Write clear, well-tested, and maintainable software Analyze and improve the robustness and scalability of our existing proxies, APIs and fallback infrastructure Conduct design and code reviews, create developer documentation, and develop testing strategies for robustness and fault tolerance Requirements 3+ years of demonstrated experience in building HTTP services with Python Experience designing, analyzing and improving efficiency, scalability, and stability of various system resources Proficiency in version control practices and CI/CD pipelines. What we offer at fal Interesting and challenging work Competitive salary and equity Employee-friendly equity terms (early exercise, extended exercise) A lot of learning and growth opportunities We offer visa sponsorship and will help you relocate to San Francisco. Health, dental, and vision insurance (US) Regular team events and offsite Compensation $180,000 - $250,000 + equity + comprehensive benefits package Location We are currently hiring in downtown San Francisco.  

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Mirage is the leading AI short-form video company. We’re building full-stack foundation models and products that redefine video creation, production and editing. Over 20 million creators and businesses use Mirage’s products to reach their full creative and commercial potential.We are a rapidly growing team of ambitious, experienced, and devoted engineers, researchers, designers, marketers, and operators based in NYC. As an early member of our team, you’ll have an opportunity to have an outsized impact on our products and our company's culture.Our ProductsCaptions Mirage Studio Our TechnologyAI Research @ MirageMirage Model AnnouncementSeeing Voices (white-paper)Press CoverageTechCrunchLenny’s PodcastForbes AI 50Fast CompanyOur InvestorsWe’re very fortunate to have some the best investors and entrepreneurs backing us, including Index Ventures, Kleiner Perkins, Sequoia Capital, Andreessen Horowitz, Uncommon Projects, Kevin Systrom, Mike Krieger, Lenny Rachitsky, Antoine Martin, Julie Zhuo, Ben Rubin, Jaren Glover, SVAngel, 20VC, Ludlow Ventures, Chapter One, and more.** Please note that all of our roles will require you to be in-person at our NYC HQ (located in Union Square) We do not work with third-party recruiting agencies, please do not contact us** Software Engineering ManagerEngineering at Mirage isn’t narrowly defined. As a small, collaborative team, engineers are trusted with a high degree of ownership and agency. As an Engineering Manager, you’ll lead and grow a world-class team of software engineers while providing clear direction and stability. You’ll be responsible for driving technical excellence, fostering growth and collaboration, and building foundational capabilities across product, infrastructure, and core platforms. ResponsibilitiesOversee the design and operation of our core platform (3rd party providers, storage, billing, observability, security, API).Provide technical leadership for various product and platform featuresImprove developer experience so the whole team ships fasterGuide efforts that bridge AI research to production across all modalities (video, audio, image, text)Understand the capabilities and limitations of SOTA AI models and how to best leverage them in productsPartner with product, design, and research to keep our development tightly aligned with user needs and business objectivesWhat Makes You a Great FitA track record of building, mentoring, and managing high-performing engineering teamsExperience shipping high-impact systems, platforms, and products in productionExcellent judgment: you balance technical discernment with a strong sense of practicality and time managementAble to operate effectively in an extremely fast-paced environment, while setting your team up for sustainable successStrong communicator who can inspire and align a multidisciplinary teamEven Better If...You have worked extensively with LLMs, generative media models, and have a pulse on where the technology is goingYou are grounded, collaborative, and willing to do whatever it takes to help the team winYou have been a startup founder or an early engineer at oneBenefits:Comprehensive medical, dental, and vision plans401K with employer matchCommuter BenefitsCatered lunch multiple days per weekDinner stipend every night if you're working late and want a bite! Grubhub subscriptionHealth & Wellness Perks (Talkspace, Kindbody, One Medical subscription, HealthAdvocate, Teladoc)Multiple team offsites per year with team events every monthGenerous PTO policyCaptions provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.Please note benefits apply to full time employees only.

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Appierについて Appier（エイピア）は、人工知能（AI）を活用して企業の意思決定を支援するソフトウェア・アズ・ア・サービス（SaaS）企業です。2012年に「AIの民主化」というビジョンのもとに設立され、「AIをROIに変える（Turn AI into ROI）」をミッションとして掲げています。現在はアジア太平洋地域、ヨーロッパ、アメリカを含む17の拠点を展開し、東京証券取引所（証券コード：4180）に上場しています。詳しくは www.appier.com をご覧ください。 提供ソリューション AIQUA（アイコア） AIを活用したマルチチャネル・マーケティングオートメーションプラットフォーム。Web、アプリ、メール、プッシュ通知など複数チャネルで、顧客ごとに最適化されたジャーニーを自動的に実現します。 BotBonnie（ボットボニー） SNS公式アカウント（LINE、Instagram、Facebookなど）やWebチャットに対応した、AI会話型マルチチャネルマーケティングオートメーションソリューション。顧客エンゲージメントとコンバージョンを高めます。 AIRIS（アイリス） AIを搭載したカスタマーデータプラットフォーム（CDP）。顧客データを統合し、より精度の高いセグメンテーションや予測分析を可能にします。 AdCreative.ai（アドクリエイティブ・エーアイ） AIによるクリエイティブ生成プラットフォーム。オーディエンスやチャネルごとに最適化された高パフォーマンス広告クリエイティブを自動生成します。 ポジション概要 AppierのSenior Enterprise Solutions Salesとして、日本市場におけるエンタープライズ企業向けに、AIQUA、BotBonnie、AIRIS、AdCreative.aiといったAppierのSaaSソリューション全体の販売をリードし、売上拡大を推進していただきます。 経営層や意思決定者の信頼できるパートナーとして、AIを活用したマーケティング・データ・顧客体験の変革を支援していただきます。 主な業務内容 新規開拓から提案、交渉、契約締結まで、SaaSソリューション営業の全プロセスを担当 Cレベルを含む経営層への提案を通じ、AppierのAIソリューションが抱えるビジネス課題をどう解決できるかを訴求 大手企業の戦略的アカウントを拡大し、長期的な関係構築と導入拡大を推進 正確なパイプライン管理と売上目標の達成 Pre-Sales、CSM、マーケティング、プロダクトなどの社内チームと連携し、シームレスな導入・運用支援を実現 既存顧客のアップセル・クロスセル機会を発掘し、持続的なアカウント成長を促進 AI・データ戦略・デジタルトランスフォーメーションに関する知見を発信し、Appierのリーダーシップを確立 応募条件 ソフトウェアソリューション営業の経験10年以上、うち5年以上はエンタープライズ向けSaaSまたはAI／MarTech領域での営業経験 複数のステークホルダーを巻き込む大規模案件のクロージング実績 強いオーナーシップと自己駆動力を持つセルフスターター AI・データプラットフォーム・マーケティングオートメーションなどの新技術への高い関心と学習意欲 変化を楽しみ、挑戦を続けるグロースマインドセット（成長志向） チーム内外での円滑なコミュニケーション・協働スキル AIで市場を変革し、顧客に価値を届ける情熱をお持ちの方 日本語：ネイティブまたはビジネスレベル（必須） 英語：ビジネスレベル（尚可／必須ではない） Appierで働く魅力 マーケティング領域におけるAI・データ革新の最前線で活躍できる 学習と挑戦を後押しするフラットで協働的なカルチャー 日本企業のAIトランスフォーメーションをリードする実感を得られる 勤務地: 東京都 所属部署: Enterprise Solutions（AIQUA / AIRIS / AdCreative.ai / BotBonnie） 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. Our Solutions AIQUA – An AI-driven multi-channel marketing automation platform that helps enterprises deliver personalized customer journeys across web, app, email, push channels and so on. BotBonnie – An AI conversational multi-channel marketing automation solution designed for SNS official accounts (LINE, Instagram, Facebook, etc..) and web chat to drive engagement and conversions. AIRIS – An AI-driven Customer Data Platform (CDP) that unifies customer data and enables advanced segmentation and predictive analytics for smarter decision-making. AdCreative.ai – An AI creative generation platform that automates the creation of high-performing ad creatives optimized for each audience and channel. Role Overview As an Senior Enterprise Solutions Sales at Appier, you will be responsible for driving revenue growth by leading the full sales cycle of Appier’s SaaS platforms—AIQUA, BotBonnie, AIRIS and AdCreative.ai across Japan’s enterprise market. You will act as a trusted advisor to senior executives, helping them leverage AI to transform their marketing, data, and customer experience strategies. Key Responsibilities Own the full sales cycle from prospecting, qualification, and needs discovery to proposal, negotiation, and contract closure. Advise and present to C-level executives, identifying and articulating how Appier’s AI-driven solutions address complex business and marketing challenges. Develop and expand strategic enterprise accounts, ensuring long-term success and maximizing product adoption across multiple business units. Maintain a robust and accurate pipeline, delivering consistent performance against revenue targets. Collaborate cross-functionally with Pre-Sales, CSM, Marketing, and Product teams to deliver seamless client experiences and ensure successful solution implementation. Identify upsell and cross-sell opportunities within existing clients to drive sustainable account growth. Represent Appier as a thought leader, contributing insights on AI, data strategy, and digital transformation to senior stakeholders. Requirements 10+ years of software solution sales experience, with at least 5 years in enterprise-level SaaS or AI/MarTech platforms. Proven track record of success in closing complex, multi-stakeholder enterprise deals. Self-starter mindset with strong ownership, accountability, and drive to achieve ambitious goals. Fast learner with deep curiosity and willingness to understand new technologies, especially AI, data platforms, and marketing automation. Growth mindset — eager to experiment, learn, and adapt in a fast-changing environment. Strong collaboration and communication skills, capable of aligning across teams and functions. Passionate about changing the market with AI and delivering measurable value to clients. Japanese: Native or Business level (Must to have.) English: Business proficiency (Good to have, not a must) Location: Tokyo, Japan Department: Enterprise Solutions (AIQUA / AIRIS / AdCreative.ai / BotBonnie)

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Who are we?Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI.We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what’s best for our customers.Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products.Join us on our mission and shape the future!As a Software Engineer on the Collect team, you will:Contribute to building critical internal tools and applications relied upon by hundreds of Cohere employeesWork with a small talented and enthusiastic team of software engineers.Contribute to delightful experiences for our user-facing products, meticulously crafting code for browsers and occasionally server code.Collaborate and grow with your engineering colleagues of all levels through direct pairing sessions, architectural designs, documentation and talks.Identify and remove roadblocks to enable your team to increase its engineering velocity.Build resilient systems that are mission-critical.Keep up with the cutting edge and adopt new technologies to improve performance and reliability.You may be a good fit if:You’ve shipped fast and snappy web apps loved by many users.You have experience shipping products with a large number of stakeholders.You’re comfortable with the front and back end of the stack, and have previously worked with Next.js, TypeScript, React, and Python.You’ve mentored other engineers and are passionate about developing other junior folks.You have excellent communication skills and believe that documentation is a great way to get feedback and discuss technical implementations and designs.You’re excited to add new technologies to your toolbox and use them where it makes sense.You have the ability to take complex needs and goals and develop easy to understand explanations for all audiences.If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs.Full-Time Employees at Cohere enjoy these Perks:🤝 An open and inclusive culture and work environment 🧑‍💻 Work closely with a team on the cutting edge of AI research 🍽 Weekly lunch stipend, in-office lunches & snacks🦷 Full health and dental benefits, including a separate budget to take care of your mental health 🐣 100% Parental Leave top-up for up to 6 months🎨 Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement🏙 Remote-flexible, offices in Toronto, New York, San Francisco, London and Paris, as well as a co-working stipend✈️ 6 weeks of vacation (30 working days!)

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Lambda, The Superintelligence Cloud, builds Gigawatt-scale AI Factories for Training and Inference. Lambda’s mission is to make compute as ubiquitous as electricity and give every person access to artificial intelligence. One person, one GPU. If you'd like to build the world's best deep learning cloud, join us.  *Note: This position requires presence in our San Francisco office location 4 days per week; Lambda’s designated work from home day is currently Tuesday. Engineering at Lambda is responsible for building and scaling our cloud offering. Our scope includes the Lambda website, cloud APIs and systems as well as internal tooling for system deployment, management and maintenance. What You’ll DoStrategic Technology Leadership for Key AccountsServe as the primary technical liaison for Lambda's strategic Superintelligence accountsCultivate and sustain executive level technical relationships, establishing Lambda as a trusted technology partner and strategic advisorDrive multi-year technology roadmaps aligned with customer business objectives and Lambda's product portfolioInfluence customer technology strategy and adoption at the executive levelRepresent Lambda at executive briefings, board meetings, and strategic planning sessionsOwn Technical Strategy and Business OutcomesPartner with Global Account teams to drive strategic account growth and expansionLead architectural reviews and technology assessments at the enterprise levelDefine and articulate business value propositions, ROI models, and TCO analyses for executive stakeholdersOrchestrate cross-functional teams including Solutions Engineers, Forward Deployed Engineers, Professional Services, and Product ManagementOwn technical escalations and serve as the Executive Technical Sponsor for critical customer initiativesDrive adoption of Lambda's strategic initiatives within key accountsTechnology Vision and Thought LeadershipEstablish yourself as a trusted advisor on AI/ML transformation and cloud strategyGuide customers through digital transformation journeys and emerging technology adoptionPublish thought leadership content, speak at industry events, and represent Lambda in executive forumsInfluence Lambda's product strategy based on strategic customer needs and market trendsMentor and develop technical talent across the organizationYouHave 15+ years of experience designing, deploying and scaling cloud infrastructureHave 6+ years of experience working directly with C-suite executives and senior leadership teams in advisory or consultative capacitiesHave 5+ years driving cloud transformation initiatives at enterprise scaleHave proven track record of influencing C-suite executives and board-level stakeholdersHave deep expertise in AI/ML technologies and their business applicationsHave experience with NVIDIA DGX/HGX/MGX systems, InfiniBand &RoCE networking, and large-scale GPU cluster deploymentsHave hands-on experience with LLM training, fine-tuning, and inference at scaleHave experience with enterprise architecture frameworks and governance modelsHave experience managing or influencing deals worth $1B+ annuallyHave strong business acumen with ability to translate technology into business outcomesHave experience navigating complex organizational dynamics and driving consensusHave track record of building strategic partnerships and alliancesExcel at executive communication, presentation, and storytellingDemonstrate thought leadership through publications, speaking engagements, or industry recognitionNice to HaveMBA or advanced degree in Computer Science, Engineering, or related technical fieldExperience as a CTO, VP of Engineering, Chief Architect, or Technical Fellow at a technology company with $100M+ revenueTrack record working with AI labs, research institutions, or frontier model companiesBoard advisory experience for technology companiesPublished peer-reviewed research, whitepapers, or patents specifically in distributed computing, GPU acceleration, or large-scale ML training infrastructureSalary Range InformationThe annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description. About LambdaFounded in 2012, ~400 employees (2025) and growing fastWe offer generous cash & equity compensationOur investors include Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, US Innovative Technology, Gradient Ventures, Mercato Partners, SVB, 1517, Crescent Cove.We are experiencing extremely high demand for our systems, with quarter over quarter, year over year profitabilityOur research papers have been accepted into top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOGHealth, dental, and vision coverage for you and your dependentsWellness and Commuter stipends for select roles401k Plan with 2% company match (USA employees)Flexible Paid Time Off Plan that we all actually useA Final Note:You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.Equal Opportunity EmployerLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

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Lambda, The Superintelligence Cloud, builds Gigawatt-scale AI Factories for Training and Inference. Lambda’s mission is to make compute as ubiquitous as electricity and give every person access to artificial intelligence. One person, one GPU. If you'd like to build the world's best deep learning cloud, join us.  *Note: This position requires presence in our upcoming Seattle office location or on-site with strategic customers 4 days per week; Lambda’s designated work from home day is currently Tuesday. About The RoleWe're looking for a Forward Deployed Engineer to embed directly with a strategic customer, serving as the technical bridge between Lambda and their team. You'll work where model performance matters most, delivery timelines are urgent, and ambiguity is the default state. Your job is to map problems, structure delivery paths, and ship solutions that create measurable impact.What You’ll DoCustomer EngagementEmbed on-site with a named strategic customer, becoming an extension of their teamAct as the primary technical liaison between Lambda and the customer organizationNavigate ambiguous requirements to identify root problems and define clear technical solutionsDrive alignment across internal Lambda teams and customer stakeholdersTechnical DeliveryScope, sequence, and build full-stack solutions that deliver measurable business valueDesign and implement infrastructure optimizations for AI/ML workloads at scaleDebug complex distributed systems issues across the infrastructure stackShip iteratively and learn fast, adjusting approach based on customer feedback and resultsStrategic ImpactIdentify reusable patterns from customer engagements that can scale across Lambda's customer baseSurface field intelligence that influences Lambda's product roadmapDocument and share learnings to elevate the capabilities of the broader teamRepresent Lambda with executive presence in high-stakes customer interactionsAbout YouMust-Have6+ years of experience in a SRE, software engineer, or similar role, with a deep knowledge of running Linux clusters and systemsStrong programming skills in Go and Python; experience with GitOps (e.g., ArgoCD), Helm, and Kubernetes operatorsProven experience operating Kubernetes clusters in production environments (on-prem, EKS, GKE, or similar)Hands-on experience with AI/ML workload management tools (Volcano, Kubeflow, or similar)Can work either independently with limited direction or as part of a teamFamiliarity with observability tools like Prometheus, Grafana, FluentBit, and CI/CD pipelinesProven experience provisioning Kubernetes using tools such as kubeadm, Cluster API, or similarExcellent communication skills with the ability to translate technical complexity for diverse audiencesExecutive presence and ability to represent Lambda in customer-facing situationsComfort operating in ambiguous environments with competing prioritiesStrong bias for action and shipping iterativelyNice-to-HaveDeep Kubernetes expertise: CRDs, CSI, CNI, Kubernetes Operator Coding experienceExposure to HPC clusters, AI/ML workloads, or large-scale GPU clustersHybrid or multi-cloud Kubernetes environment experienceContributions to CNCF projects or Kubernetes SIGsWhy Join UsWork on cutting-edge Managed Kubernetes platforms for AI/ML workloadsInfluence the platform roadmap and help shape operations and reliability best practicesCollaborate with a highly skilled engineerOpportunity to mentor and grow within a fast-growing, technology-driven environmentSalary Range InformationThe annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description. About LambdaFounded in 2012, ~400 employees (2025) and growing fastWe offer generous cash & equity compensationOur investors include Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, US Innovative Technology, Gradient Ventures, Mercato Partners, SVB, 1517, Crescent Cove.We are experiencing extremely high demand for our systems, with quarter over quarter, year over year profitabilityOur research papers have been accepted into top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOGHealth, dental, and vision coverage for you and your dependentsWellness and Commuter stipends for select roles401k Plan with 2% company match (USA employees)Flexible Paid Time Off Plan that we all actually useA Final Note:You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.Equal Opportunity EmployerLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

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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 Partners Solutions Architect on the Applied AI team at Anthropic, you will be a Pre-Sales architect focused on cultivating technical relationships with our Global and Regional System Integrators (GSIs/RSIs), and our cloud partners (AWS and GCP). You will strengthen our relationships with key partners to accelerate indirect revenue, enable their AI practices, and execute on long-term GTM strategy. Responsibilities: Strategic Technical Partnership: Be a technical thought partner to the Anthropic GTM partnerships team, providing technical expertise to better understand the partner landscape, driving key strategic programs, and identifying opportunities to deepen partner technical capabilities. Embed with GSI and cloud partner technical teams to enable their AI practices, support troubleshooting, evangelize Anthropic in their developer communities, and serve as an escalation point for complex technical issues. Joint Solution Development: Collaborate with partners to identify high value industry-specific GenAI applications, develop joint solutions and codify reference architectures / best practices to accelerate time to deployment Customer Deal Support:  Intervene directly to unblock strategic customer deals where partners are the primary delivery vehicle, providing deep technical expertise and solution architecture guidance. Partner Ecosystem & Events: Represent Anthropic at partner events such as GSI customer workshops, AWS summits, and industry conferences. Lead or support partner-specific developer events, hackathons, and technical enablement sessions, especially for technically native communities.Product Feedback: Validate and gather feedback on Anthropic's products and offerings, especially as they relate to partner use cases and deployment patterns, and deliver this feedback to relevant Anthropic teams to inform product roadmap and partner strategy. You may be a good fit if you have: 5+ years of experience in technical customer-facing/partner-facing roles such as Solutions Architect, Sales Engineer, Partner Sales Engineer, Technical Account Manager Track record of successfully partnering with GSIs and/or cloud providers to solve complex technical challenges, from initial solution design through customer delivery Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering & IT teams, and more Strong presentation & technical communication skills with the ability to translate requirements between technical and business stakeholders Experience designing scalable cloud architectures and integrating with enterprise systems Familiarity with common LLM frameworks and tools or a background in machine learning or data science Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities A love of teaching, mentoring, and helping others succeed Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems 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—$300,000 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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About Eudia:   Eudia is redefining the future of legal work with AI-powered Augmented Intelligence, enabling Fortune 500 legal teams to move faster, manage risk more effectively, and unlock new business value. Backed by $105M in Series A funding led by General Catalyst, we’re building a category-defining platform that blends AI-driven automation with human expertise, transforming legal from a cost center into a strategic growth driver.    At Eudia, we move fast. Unlike traditional enterprise software, our teams ship solutions in days, not months—delivering real impact for some of the world’s largest companies, including Cargill, Coherent, DHL, and Duracell. We’re solving one of the most complex, unsolved challenges in AI: bringing trust, accuracy, and security to legal automation.    We’re a team of builders, operators, and problem-solvers who are passionate about reshaping an industry that has long been resistant to change. If you’re looking for a place where you’ll be challenged, take ownership from day one, and work alongside some of the brightest minds in AI and legal —we’d love to meet you.    About the Role:   As Customer Success Manager you will lead strategic AI transformation initiatives for Fortune 500 legal departments and will be responsible for successful delivery of our platform and solutions. Operating at the intersection of account strategy and execution, you’ll own senior client relationships and shape how leading organizations leverage AI to transform their operations. You will work with Eudia’s Product and Delivery teams to oversee delivery and in-life performance for enterprise clients, ensuring successful implementation, adoption, and measurable success of our platform and will bring an analytical mindset to assess business value, determine ROI, and establish success metrics for ongoing customer engagements. You will work closely with sales, and as part of the account team, to identify areas where our clients can further benefit from AI products and services.     We are seeking individuals with a proven track record in managing the delivery and success of complex software & services implementations for large enterprise clients. Legal training or experience working with legal teams is an advantage. This role offers significant autonomy, executive exposure, and the opportunity to shape both client strategy and product direction.   Key Responsibilities: Strategic Vision & Solution Design Co-create innovative AI solutions with Fortune 500 legal departments, aligning workflows and technology to unlock breakthrough value  Educate and inspire customers on AI possibilities, serving as their trusted advisor on emerging capabilities and future state vision  Design and implement multi-year roadmaps that address complex functional and business challenges   Value Creation & Delivery  Lead end-to-end implementation of AI initiatives, quarterbacking cross-functional teams to deliver high-stakes programs with measurable business impact  Orchestrate internal resources to bring the best of our capabilities to each customer  Develop and implement frameworks to measure ROI and showcase value realization to stakeholders  Customer Leadership & Growth  Build and nurture executive relationships across legal, technology, and business functions  Identify and unlock new value opportunities within existing customers  Lead customers through their AI transformation journey while expanding relationships and unlocking additional value  Provide training & support to customers legal teams as part of the journey   Product & Function Development  Be the voice of the customer internally, shaping our product roadmap and go-to-market strategy  Lead the development of best practices and frameworks that can scale across our customer base  Qualifications: 5+ years of experience in enterprise software implementation, or equivalent strategic roles in software & services companies.   Experience supporting and delivering to the largest companies in the world  Comfort with AI and advanced technologies with an ability to learn quickly and train & mentor customers on the technology  Bachelor’s degree in business, computer science, or related fields   Legal training or a law degree is an advantage, but not required   Exceptional analytical capabilities and structured problem-solving skills demonstrated through complex client engagements or software implementation programs  Strong interpersonal and collaboration skills for building strong, lasting relationships  Proven ability to tailor communication to diverse technical, sales, and executive-level stakeholders  Excellent organizational, time management, verbal, and written communication skills  Track record of handling multiple customers, projects and workstreams concurrently  Experience working with Enterprise legal operations (Legal Ops) is preferred  Enthusiasm for AI transformation, legal technology, or disruptive service models  Why You’ll Love Working Here: Impactful Work: Be part of a team that’s at the forefront of AI innovation. Growth Opportunities: Work in an environment that encourages professional growth and the exploration of new ideas. Dynamic Culture: Join a group of passionate, driven individuals who are committed to making a difference. If you’re ready to take on the challenge and make an impact in a rapidly evolving industry, we want to hear from you!

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About UsHippocratic AI has developed a safety-focused Large Language Model (LLM) for healthcare. The company believes that a safe LLM can dramatically improve healthcare accessibility and health outcomes in the world by bringing deep healthcare expertise to every human. No other technology has the potential to have this level of global impact on health.Why Join Our TeamInnovative Mission: We are developing a safe, healthcare-focused large language model (LLM) designed to revolutionize health outcomes on a global scale.Visionary Leadership: Hippocratic AI was co-founded by CEO Munjal Shah, alongside a group of physicians, hospital administrators, healthcare professionals, and artificial intelligence researchers from leading institutions, including El Camino Health, Johns Hopkins, Stanford, Microsoft, Google, and NVIDIA.Strategic Investors: We have raised a total of $278 million in funding, backed by top investors such as Andreessen Horowitz, General Catalyst, Kleiner Perkins, NVIDIA’s NVentures, Premji Invest, SV Angel, and six health systems.World-Class Team: Our team is composed of leading experts in healthcare and artificial intelligence, ensuring our technology is safe, effective, and capable of delivering meaningful improvements to healthcare delivery and outcomes.For more information, visit www.HippocraticAI.com.Location Requirement:This is a Palo Alto–based role and requires working onsite five days a week. Only candidates who are currently local or willing to relocate will be consideredAbout the RoleHippocratic AI is building safety‑first generative intelligence for healthcare. We are hiring an RN with clinical product experience to partner with our model and product teams to develop, validate, and continuously improve our medical large language models (LLMs). This role sits at the intersection of clinical expertise, patient communication, and product innovation – ensuring our AI agents are accurate, empathetic, and aligned with clinical best practices. What You’ll DoEvaluate the Medical Model. Design and run clinical evaluation protocols to assess the accuracy, safety, and appropriateness against guidelines and standards of care.Provide Clinical Insights. Translate frontline nursing expertise into product decisions—shaping dialog flows, safety rails, escalation criteria, and patient‑friendly explanations.Review & Triage Errors. Analyze error reports, identify root causes, and partner with engineers/researchers on remediation plans.Author “Gold Standards.” Create test cases, rubrics, and reference answers for high‑stakes scenarios; define acceptance criteria for model releases.Cross‑Functional Partner. Collaborate with ML researchers, speech/voice specialists, product managers, and QA to prioritize improvements and measure impact.What You Bring:Must-Have:Active, unrestricted Nursing License (RN) in your practicing state.Clinical experience in acute, ambulatory, telehealth, or community settings; strong patient communication skills.Excellent written & verbal communication—ability to explain complex medical concepts clearly to lay audiences and to technical teams.Prior experience with prompting language models, interacting or working with LLMs via text or voice, conversational AI, or clinical NLP. Commitment to safety and ethics; familiarity with HIPAA/PHI handling and privacy best practices.Intellectual curiosity and a commitment to advance health delivery and increase access to all.Nice‑to‑Have:Background in quality/safety or clinical education.Experience with clinical guidelines and patient‑education best practices.Domain expertise in clinical and care management workflows.***Be aware of recruitment scams impersonating Hippocratic AI. All recruiting communication will come from @hippocraticai.com email addresses. We will never request payment or sensitive personal information during the hiring process. If anything

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About Cosmos We’re not your average MSP. We’re building an AI-first IT platform where humans and intelligent agents work together to keep companies running faster, smarter, and cheaper than anyone thought possible.Cosmos is a new Infinity Constellation venture — an AI-powered Managed Services company designed from the ground up for automation, observability, and Zero Trust. No legacy bloat. No ticket silos. Just clean architecture and code that matters.If you want to babysit servers, go somewhere else. If you want to build the backbone of how AI runs IT — keep reading.The Role We’re looking for a Cloud & Automation Engineer who lives at the intersection of systems, code, and chaos. You’ll be the one making sure everything just works — clouds stay up, agents stay smart, and users stay happy.You’ll: • Build, scale, and harden cloud environments (AWS + GCP). • Automate identity, provisioning, and access — because tickets are for amateurs. • Jump in on escalations that make other people sweat. • Write clean, reusable scripts to kill manual work forever. • Make the infrastructure invisible, reliable, and ridiculously fast.This is part ops, part dev, part automation wizard. You’ll be in the guts of the platform — the one who makes the lights never go out.What You’ll Do1. Cloud Infrastructure & Automation • Own AWS and GCP environments: compute, storage, networking, IAM, monitoring, and costs. • Automate provisioning and identity using APIs, SCIM, and whatever scripts get the job done. • Build integrations that let AI agents deploy, fix, and scale environments autonomously. • Write Python, Bash, or PowerShell scripts that make everyone’s life easier.2. Systems Reliability & Performance • Keep infrastructure stable, secure, and observable — CloudWatch, GCP Ops Suite, whatever works. • Run backups, test disaster recovery, and make sure you can sleep at night. • Patch, monitor, log, repeat — but smarter every time. • Troubleshoot the hard stuff: auth loops, permissions, weird edge cases no one’s seen before.3. Endpoint & Identity Management • Manage endpoints across macOS, Windows, and Linux using Zero Trust principles. • Build secure baselines that scale across hundreds of devices. • Work closely with our Security team to make “secure by default” more than a slogan.4. Collaboration & Mentorship • Act as L2/L3 escalation for Help Desk and onboarding. • Write documentation that people actually want to read. • Share what you learn — raise the team’s IQ every week.Who You Are • You’ve got 5+ years managing systems and cloud infrastructure — AWS, GCP, both, whatever. • You code or script your way out of every problem (Python, Bash, or PowerShell). • You think in automation, not checklists. • You know networking, IAM, and security inside out. • You’ve lived through a few “oh sh*t” incidents and learned how to prevent the next one. • You speak fluent troubleshooting — logs don’t scare you. • You want to be part of something early, messy, and meaningful.Location & Schedule This is a remote, global role, but you’ll work primarily on New York (EST) hours. We don’t care where you live — just that you can think fast, write clearly, and deliver results.Bonus Points • Terraform, Ansible, or configuration management experience. • Certs like AWS Solutions Architect or GCP Cloud Engineer. • Experience in MSP or multi-tenant environments. • Familiarity with SOC 2, ISO 27001, or GDPR compliance. • Obsessed with Zero Trust, automation, and clean architecture.Why You’ll Love It Here • You’ll work where AI and cloud collide — building systems that literally learn. • You’ll automate problems faster than they appear. • You’ll never get stuck waiting for permission to fix what’s broken. • You’ll be part of a team that values speed, reliability, and doing things right.This isn’t maintenance. It’s evolution. If uptime, automation, and adrenaline sound like your kind of stack — welcome to Cosmos.Salary and CompensationApproximate Annual Salary Range*Poland: EUR 35,000 – 65,000Romania: EUR 30,000 – 55,000Bulgaria: EUR 28,000 – 50,000Ukraine: EUR 25,000 – 45,000Ireland: EUR 55,000 – 85,000Other Eastern EU Markets: EUR 30,000 – 60,000*Ranges vary based on experience, certifications, and local cost of living and may also include an add’l bonus on top of base.What We OfferCompetitive compensation and performance-based incentives.Flexible remote or hybrid work options.Opportunities to work with AWS, GCP, JumpCloud, Halo ITSM, and Google Workspace.Professional development and support for certification.Collaborative team culture with a focus on reliability, security, and innovation.Exposure to complex multi-tenant and automation-driven environments.You’ll be part of a team building the next generation of AI-assisted cloud operations — combining automation, observability, and Zero Trust to reinvent how IT is delivered.

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About LangChainAt LangChain, our mission is to make intelligent agents ubiquitous. We help developers build mission-critical AI applications across the entire agent development lifecycle. Our open source frameworks — LangChain and LangGraph — see over 70+ million downloads per month. Developers rely on LangChain for composable integrations and LangGraph for controllable agent orchestration. Our commercial agent platform, consisting of LangSmith and LangGraph Platform, enables teams to build, test, run, and manage agents at scale across their organization.Founded in 2023, LangChain powers top engineering teams at companies like Replit, Lovable, Clay, Klarna, LinkedIn, and more..About the role: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.What you will do:Lead the technical architecture and implementation of key product features for LangSmith working across our entire Go, Python, and Typescript stackPartner with product and design teams to build new features Drive aggressive project timelines while ensuring high engineering standards are being met.Lead by example in writing clean, maintainable, and well-tested codeWork closely with customers to understand their needs and shape the product directionHow to be successful in this role:Extensive experience in software engineering ideally working on fullstack, complex platform productsPrior experience building and managing a team of engineersStrong backend experience with Go and/or Python Strong frontend experience with React + TypescriptGood understanding of database systems, particularly Postgres and RedisExperience designing and scaling APIs ideally for high-throughput or data-intensive systemsA “get stuff done” attitude—comfortable shipping fast and iterating based on user feedbackStrong communication skills—able to collaborate with internal stakeholders and engage directly with customersOwnership mindset with a bias for action and a focus on delivering impactBonus: Experience building AI/LLM-powered applications, developer tools, and/or observability platformsCompensation: We offer competitive compensation that includes base salary, meaningful equity, and benefits such as health and dental coverage, flexible vacation, a 401(k) plan, and life insurance. Actual compensation will vary based on role, level, and location. For team members in the EU and UK, we provide locally competitive benefits aligned with regional norms and regulations. Salary range: $200,000 - $235,000

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PLEASE NOTE: This is a fully remote contract opportunity, with an estimated duration of 6 months with the opportunity to be extended. To be eligible, you must have authorization to work in the country you reside in.  About the Program The Human Frontier Collective (HFC) Fellowship brings together top researchers and domain experts to collaborate on high-impact work that are shaping the future of AI. As an HFC Fellow, you’ll apply your academic and professional expertise to help design, evaluate, and interpret advanced generative AI systems—while gaining exposure to cutting-edge research and working alongside an interdisciplinary network of leading thinkers. What You'll Do Collaborative Work: Get invited to engage in high-impact projects with our partnered AI labs and platforms. Design complex real-world scenarios, evaluating model outputs for accuracy and regulatory alignment, and providing targeted feedback to improve performance across domains like compliance, litigation, case law, and contract analysis. Join the HFC Community: Beyond the work, you’ll become part of a supportive, interdisciplinary network of innovators and thought leaders committed to advancing frontier AI across domains. Contribute to Research Publications: Collaborate with Scale’s research team to co-author technical reports and research papers—boosting your academic visibility and professional recognition. Who Should Apply Education: JD, LLM, or currently enrolled in a prestigious 2L/3L program.  Certifications: Bar admission in any jurisdiction strongly preferred. Professional Background: Experience as Attorney/Associate, Legal Analyst, Counsel, Law Clerk, In-House Counsel, Legal Researcher, or Law Professor.  Skills: Demonstrated expertise in legal research, analysis of regulatory frameworks, constitutional law, case law interpretation, and drafting legal briefs. Professional Mindset: Detail-oriented, innovative thinker with a passion for financial technology and a commitment to collaboration. Prior experience with AI is not required, but a plus. Why Join the HFC? Advance Legal AI Solutions: Apply your legal expertise to address complex, real-world challenges where your judgment shapes advanced AI reasoning and supports critical legal decision-making. Professional Development: High-impact legal experts expand their influence through review projects, advisory roles, and research—while deepening their AI expertise, sharpening legal analysis skills, and gaining practical experience with innovative AI tools for the legal field. Join a Top-Tier Network: Collaborate with a global network of academics and experts to advance responsible AI through impactful, flexible research and training. 80% of our members come from leading institutions. Flexible Schedule: Set your own schedule, with flexible 10–40 hour weeks that fit around your life and other commitments. Competitive Pay: $80–$100/hr, depending on the projects. Application Process Apply: We review applications on a rolling basis. Complete a Challenge: Selected candidates will undertake a brief task designed to reflect HFC work and evaluate their domain expertise. Interview: Candidates will meet with the HFC team to discuss their research experience, professional background, and alignment with our mission to advance human-centered AI. Join the Collective: Successful candidates will receive an invitation to join the Human Frontier Collective Fellowship. PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.  We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision.  PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.