AI Creative & Design Jobs

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About UsArticul8 AI is at the forefront of Generative AI innovation, delivering cutting-edge SaaS products that transform how businesses operate. Our platform empowers organizations to leverage the power of artificial intelligence in a reliable, scalable, and secure environment.Position OverviewWe are seeking an experienced Site Reliability Engineer (SRE) to join our team and help ensure the reliability, performance, and scalability of our GenAI SaaS platform. As an SRE, you will bridge the gap between development and operations, implementing automation and best practices to maintain our service reliability objectives while supporting rapid innovation.Key ResponsibilitiesArchitect and maintain scalable, highly available infrastructure for our GenAI platform.Design and implement robust monitoring, alerting, and observability solutions to proactively ensure system health and performance.Automate deployment, scaling, and management of our cloud-native infrastructure, reducing toil and improving efficiency.Define, measure, and improve Service Level Objectives (SLOs) and Service Level Indicators (SLIs) to deliver outstanding service quality.Participate in on-call rotations and provide rapid response to production incidents, minimizing downtime and user impact.Collaborate closely with development teams to build reliable, scalable, and efficient systems for complex AI workloads.Lead incident response efforts, conduct thorough post-mortems, and champion continuous improvement initiatives.Optimize infrastructure for performance, scalability, and cost-effectiveness—especially for high-demand AI workloads.Implement and enforce security best practices across all systems and environments.Create and maintain comprehensive documentation, including runbooks and knowledge base articles, to foster a culture of shared knowledge.QualificationsRequiredBachelor's degree in Computer Science, Engineering, or related field, or equivalent practical experience5+ years of experience in DevOps, SRE, or similar rolesStrong experience with cloud platforms (AWS, GCP, or Azure)Proficiency in at least one programming/scripting language (Python, Go, Bash, etc.)Hands-on experience with infrastructure as code tools (Terraform, CloudFormation, etc.)Solid background in containerization technologies (Docker, Kubernetes)Proven experience with monitoring and observability tools (Prometheus, Grafana, ELK stack, etc.)Strong understanding of CI/CD pipelines and automationExceptional troubleshooting and problem-solving skills and ability to troubleshoot complex systemsPreferredExperience supporting AI/ML systems in productionKnowledge of GPU infrastructure management and optimizationFamiliarity with distributed systems and high-performance computingExperience with database systems (SQL and NoSQL)Certifications in cloud platforms (AWS, GCP, Azure)Experience with chaos engineering and resilience testingKnowledge of security best practices and compliance requirementsReady to shape the future of resilient software systems? Apply now and help drive the reliability of tomorrow’s AI at Articul8 AI!

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Company OverviewAt Articul8 AI, we're building the next generation of resilient, scalable software systems that help organizations transform their operations. Our commitment to quality and reliability drives our engineering culture, where we continuously test and improve our systems under real-world conditions.Why Join Articul8 AI?Make an Impact: Shape the resilience and reliability of AI-driven systems at scale.Build with Modern Tech: Leverage cutting-edge tools and platforms (Multi-cloud, AI-first tooling).Ownership & Growth: Take ownership of chaos engineering initiatives and influence engineering culture across teams.Continuous Learning: Collaborate with top engineers, participate in mentoring, and stay ahead in chaos engineering and SRE practices.Position SummaryWe are seeking a Senior SDET specializing in chaos engineering and monitoring to join our Quality Engineering team. You will design and implement sophisticated test automation frameworks, create and run chaos experiments to validate our systems' resilience against real-world failures, while ensuring comprehensive monitoring capabilities that provide actionable insights during both testing and production scenarios.Key ResponsibilitiesDesign, develop, and maintain advanced test automation frameworks that incorporate chaos engineering principlesCreate and execute chaos experiments that simulate various failure modes and edge cases in our distributed systemsImplement monitoring solutions that effectively track system performance, resilience, and failure recoveryEstablish observability practices that provide deep insights into system behavior during chaos experimentsCollaborate with development teams to build resilience into our applications from the ground upDevelop metrics and dashboards to visualize system reliability and the impact of chaos experimentsLead post-mortem analyses to identify system weaknesses discovered through chaos testingIntegrate chaos testing into CI/CD pipelines to validate system resilience continuouslyMentor engineers through code reviews, technical sessions, and hands-on guidance in test automation, chaos engineering, and monitoring best practices.Contribute to the company's overall testing strategy and quality assurance practicesQualificationsRequiredBachelor's degree in Computer Science, Engineering, or related field5+ years of experience in software testing and quality assurance, with at least 2 years focused on chaos engineeringStrong programming skills in languages such as Python, Go, and/or RustExperience with chaos engineering tools such as Chaos Monkey, Gremlin, or similar frameworksIn-depth knowledge of monitoring systems like Prometheus, Grafana, ELK Stack, or similar toolsExperience implementing observability practices (metrics, logging, tracing) in distributed systemsFamiliarity with container orchestration platforms like Kubernetes and related chaos toolsExperience with SRE practices and principlesStrong understanding of CI/CD pipelines and how to integrate testing workflowsExperience with cloud platforms (AWS, GCP, Azure) and their monitoring capabilitiesExcellent communication skills with the ability to present technical findings to various stakeholdersPreferredMaster’s degree in Computer Science, Engineering, or related fieldKnowledge of statistical analysis for evaluating test results and system performanceExperience with distributed systems and microservice architecturesContributions to open-source testing or chaos engineering projectsFamiliarity with AI/ML systems and their unique testing challengesRelevant certifications in cloud platforms, testing methodologies, or chaos engineeringReady to shape the future of resilient software systems? Apply now and help drive the reliability of tomorrow’s AI at Articul8 AI!

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Company OverviewAt Articul8 AI, we're building the next generation of resilient, scalable software systems that help organizations transform their operations. Our commitment to quality and reliability drives our engineering culture, where we continuously test and improve our systems under real-world conditions.Why Join Articul8 AI?Make an Impact: Shape the resilience and reliability of AI-driven systems at scale.Build with Modern Tech: Leverage cutting-edge tools and platforms (Multi-cloud, AI-first tooling).Ownership & Growth: Take ownership of chaos engineering initiatives and influence engineering culture across teams.Continuous Learning: Collaborate with top engineers, participate in mentoring, and stay ahead in chaos engineering and SRE practices.Position SummaryWe are seeking a Senior SDET specializing in chaos engineering and monitoring to join our Quality Engineering team. You will design and implement sophisticated test automation frameworks, create and run chaos experiments to validate our systems' resilience against real-world failures, while ensuring comprehensive monitoring capabilities that provide actionable insights during both testing and production scenarios.Key ResponsibilitiesDesign, develop, and maintain advanced test automation frameworks that incorporate chaos engineering principlesCreate and execute chaos experiments that simulate various failure modes and edge cases in our distributed systemsImplement monitoring solutions that effectively track system performance, resilience, and failure recoveryEstablish observability practices that provide deep insights into system behavior during chaos experimentsCollaborate with development teams to build resilience into our applications from the ground upDevelop metrics and dashboards to visualize system reliability and the impact of chaos experimentsLead post-mortem analyses to identify system weaknesses discovered through chaos testingIntegrate chaos testing into CI/CD pipelines to validate system resilience continuouslyMentor engineers through code reviews, technical sessions, and hands-on guidance in test automation, chaos engineering, and monitoring best practices.Contribute to the company's overall testing strategy and quality assurance practicesQualificationsRequiredBachelor's degree in Computer Science, Engineering, or related field5+ years of experience in software testing and quality assurance, with at least 2 years focused on chaos engineeringStrong programming skills in languages such as Python, Go, and/or RustExperience with chaos engineering tools such as Chaos Monkey, Gremlin, or similar frameworksIn-depth knowledge of monitoring systems like Prometheus, Grafana, ELK Stack, or similar toolsExperience implementing observability practices (metrics, logging, tracing) in distributed systemsFamiliarity with container orchestration platforms like Kubernetes and related chaos toolsExperience with SRE practices and principlesStrong understanding of CI/CD pipelines and how to integrate testing workflowsExperience with cloud platforms (AWS, GCP, Azure) and their monitoring capabilitiesExcellent communication skills with the ability to present technical findings to various stakeholderPreferredMaster’s degree in Computer Science, Engineering, or related fieldKnowledge of statistical analysis for evaluating test results and system performanceExperience with distributed systems and microservice architecturesContributions to open-source testing or chaos engineering projectsFamiliarity with AI/ML systems and their unique testing challengesRelevant certifications in cloud platforms, testing methodologies, or chaos engineeringReady to shape the future of resilient software systems? Apply now and help drive the reliability of tomorrow’s AI at Articul8 AI!

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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.OverviewWe are seeking a Head of Pharmacovigilance Sciences to provide strategic leadership in global pharmacovigilance and safety science operations. In this role, you will establish the safety strategy for a diverse product portfolio, drive innovation in safety methodologies, and ensure compliance with global regulatory standards. Primary ResponsibilitiesThe successful candidate will lead a team of safety professionals and collaborate with senior executives to integrate safety considerations into the broader business strategy. Skills & RequirementsAdvanced medical or scientific degree (e.g., MD, PhD, or equivalent).Expertise in global pharmacovigilance regulations and benefit-risk frameworks.Strong knowledge of clinical development, regulatory affairs, and medical affairs.Proven ability to lead safety strategies through product approvals and post-marketing phases.Exceptional leadership, team-building, and organizational development skills.Strategic vision with the ability to navigate complex organizational dynamics.Excellent communication and presentation skills at executive and board levels.Experience with advanced safety data analysis and interpretation methods.Demonstrated ability to drive innovation while maintaining regulatory compliance. The Head of Pharmacovigilance Sciences' responsibilities will be:Develop and implement a comprehensive safety strategy aligned with corporate objectives.Drive innovation in pharmacovigilance through advanced analytics and real-world evidence.Lead global safety governance frameworks and decision-making processes.Represent safety interests at the executive level, influencing corporate strategy.Serve as the principal safety expert in regulatory interactions and negotiations.Oversee safety-related submissions, inspections, and communications with regulatory authorities.Build and mentor a high-performing team of safety professionals.Foster cross-functional collaboration between safety science and other departments.Champion innovative approaches to safety signal detection and evaluation.Represent the organization in industry groups and scientific forums.Advance the integration of genomics, biomarkers, and digital health into safety science.Ready to lead projects that bring life-changing treatments to the world? Join our client at the forefront of pharmaceutical innovation and make a difference!***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 Scale AI At Scale AI, our mission is to accelerate the development of AI applications. For 8 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including generative AI, defense applications, and autonomous vehicles. With our recent Series F round, we’re accelerating the abundance of frontier data to pave the road to Artificial General Intelligence (AGI) and building upon our prior model evaluation work with enterprise customers and governments to deepen our capabilities and offerings for public and private evaluations. About Data Engine Our Generative AI Data Engine powers the world’s most advanced LLMs and generative models through world-class RLHF (Reinforcement Learning with Human Feedback), human data generation, model evaluation, safety, and alignment. The data we produce is some of the most critical work for how humanity will interact with AI. About Our FDE Team Generating high-quality data is the core problem our business solves. We aim to make producing and delivering high-quality data seamless and efficient for operators and customers. Our Team is building customer and operator-specific infrastructure to provide high-quality data with low turnaround time. You'll be exposed to the cutting edge of the Generative AI industry while directly interfacing with the leading model-building organizations in the space, including the top AI research labs and government agencies.  Join us in shaping the future of Artificial General Intelligence. As a Forward Deployed Engineer, you'll be at the forefront of providing the critical data infrastructure that powers the most advanced AI models, directly influencing how humanity interacts with AI. You will work with the world’s leading AI companies and government agencies to solve their most complex AI data-related problems. Responsibilities: Drive Impact: Directly contribute to the advancement of AI by delivering critical data solutions for leading AI innovators and government agencies. Customer Collaboration: Interact daily with our technical customers, understanding their unique challenges and translating them into impactful solutions. End-to-End Development: Design, build, and deploy features across the entire stack, from front-end interfaces to back-end systems and infrastructure. Rapid Experimentation: Deliver high-quality experiments quickly, iterating quickly to meet customer needs and drive innovation. Strategic Influence: Play a key role in shaping our engineering culture, values, and processes, contributing to the growth of our team and the evolution of our product. Diverse Projects: Engage in a dynamic mix of designing and deploying cutting-edge data solutions, collaborating with leading AI researchers, and directly influencing the product roadmap. You'll work on everything from large-scale system architecture to customer-facing front-end application design. Leadership Growth: This role offers a unique opportunity to lead critical projects, shape our engineering culture, and accelerate your career growth in the rapidly evolving field of Generative AI. You'll be positioned to become a future leader in a company defining the next era of technology. Requirements: At least 2 years of relevant experience is preferred Proven track record of shipping high-quality products and features at scale. Strong problem-solving skills and the ability to work independently or as part of a collaborative team. Desire to thrive in a fast-paced, dynamic environment. Ability to turn business and product ideas into engineering solutions. Strong coding abilities and the ability to effectively communicate complex technical concepts to both technical and non-technical audiences. Ability to adapt quickly to the ever-changing world of generative AI. Excited to join a dynamic, hybrid team in either San Francisco or New York City. Preferred Qualifications: Experience with large-scale data processing and distributed systems. Familiarity with machine learning and AI concepts. Experience working directly with enterprise customers. Experience with cloud-based infrastructure. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$156,000—$195,000 USDPLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, we believe that the transition from traditional software to AI is one of the most important shifts of our time. Our mission is to make that happen faster across every industry, and our team is transforming how organizations build and deploy AI.  Our products power the world's most advanced LLMs, generative models, and computer vision models. We are trusted by generative AI companies such as OpenAI, Meta, and Microsoft, government agencies like the U.S. Army and U.S. Air Force, and enterprises including GM and Accenture. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.  We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision.  PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

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About Limitless 👋At Limitless, our vision is to free the human mind from its biological limitations. We are starting with memory. 90% of memories are forgotten after just a week. Not only that, but our memory gets worse as we get older. If there is a hearing aid for hearing and glasses for vision then why isn’t there the equivalent for memory? That question is why we started the company. We build software and hardware to capture what you see, say, and hear and make it useful.The products we have today are just the first step toward our audacious vision.We have raised over $33m from top-tier investors including Sam Altman, First Round Capital, Andreessen Horowitz, and NEA to help make that vision a reality.Why Limitless 👀The work you’ll do will have tremendous impact on not just our company, but on society as a whole. We believe the best version of the future is one in which we augment - not replace - human intelligence with artificial intelligence. This is the key to unlocking humanity’s full potential, and you will play a critical role in helping us get there. Join us.What kind of product leader do we need? 🤔We believe the best products in the world are born from deeply empathizing with the customer problems we are trying to solve and understanding the best way that technology can be used to solve them.As a senior technical product manager, you will work closely with our design, product, and engineering teams to fully own product ideas, all the way from inception through implementation. You’ll be a builder first, not an armchair general: comfortable rolling up your sleeves to prototype, validate, and ship. If you’ve founded something before or scaled a product from zero to one (and beyond), you’ll thrive here.We’re looking for a doer who obsesses over details, talks to users every week, and knows that vision is only as good as its execution.What will be your outcome ✅Define and drive the product roadmaps across all platforms grounded in user needs, technical constraints, and our long-term vision.Deliver magical, differentiated experiences that users can’t live without.Lead discovery: test hypotheses, validate solutions with users, and turn insights into real product.Collaborate tightly with design and engineering to ship weekly and learn constantly.Build and mentor a product team over time: but start by doing, not delegating.What will help you be successful 👏5+ years of engineering experience, with prior founder or 0-to-1 background.Deep product intuition paired with a bias for validation and iteration.Have previously built products used by many thousands of users.You can estimate the impact of new features and bug fixes as well as the engineering effort necessary to implement them in order to prioritize work in each sprint to maximize ROI of engineering team effort.Strong storytelling skills: you can rally a team, align stakeholders, and inspire users.Experience with Linear and Figma.Experience building with LLMs or other AI tools.What cultural values you need to embody 💥✅ Decisive: Bias for action and learning.🧠 Resourceful: Prioritize well in order to maximize impact with the least effort.📈 Craft: Good judgement & consideration when deciding something is done enough.✋ Candor: Give candid feedback, receive it well, and speak up if you disagree.🗣️ Communication: Be transparent, create clarity out of ambiguity, and do it with zest.🙏 Collaboration: Help each other out, have empathy, and listen well.Benefits 💯Health insurance: best-in-class healthcare for employees and dependents. Includes vision and dental.Top-of-market compensation: we strive to offer top-of-market salary and equity.Flexible vacation: we want you to take the time you need to rest and relax.Employee-friendly equity terms: we offer an extended exercise window and early exercise for any options offered.Sell equity along the way: Unlike most startups, we don’t believe in holding you captive with golden handcuffs. When there are opportunities for you to sell a portion of your vested stock, we offer them.Remote first: we have team members all over the U.S. and everyone is treated equally regardless of location.401(k) plan: for US employees we offer a 401(k) plan with company matching.Office reimbursement: prefer working from an office? We provide a WeWork membership or reimbursement.Parental leave: we offer all parents 12 weeks of paid time off to spend time with their new family.Quarterly retreats: we have offsites quarterly to bring everyone together. Past retreats include Seattle, Breckenridge, Calistoga & Mexico.Final week of the year off: Enjoy the final week of the year off while we all take time to recharge.Choose your gear: we equip everyone with a new top-of-the-line laptop with all the upgrades.If you're interested in this job, we strongly encourage you to apply: we'd love to see you on our team working toward our audacious vision of freeing the mind from its biological limitations.

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About the team: Scale is growing rapidly, and joining the International Public Sector team is an opportunity to work on one of the most rapidly expanding teams at Scale. This team is responsible for generating, executing, and fostering Scale’s work outside of the United States. There are three core types of work involved: Building custom AI applications for government  Providing high-quality training data for research institutions building LLMs from scratch Partnerships, upskilling, and advisory About the role: As the Engagement Manager, you will be responsible for establishing deep customer and prospect relationships, proactively identifying opportunities where Scale can build custom AI applications  to improve lives for citizens and residents, overseeing the execution to ensure timelines are met and/or communicated effectively,  interfacing with premier research institutions to discuss how Scale can best support them, and partnering with organizations who are looking to train and educate people on how to use AI, AI safety, and more. You and your team will work closely with the business development and go-to-market team, the product  and engineering execution teams, and various customers and prospects to ensure success.  The ideal candidate has a nose for value and opportunity, is highly personable and can build relationships with all types of stakeholders, is an excellent communicator, is highly organized, and has a demonstrated track record of high-achievement. They are naturally empathetic and excel at building long-term relationships through diligent problem-solving and thoughtful, strategic discussions. The blend of customer engagement, operations, and business development to drive our most important outcomes makes this a unique and exciting role at the heart of one of Scale's most exciting growth businesses.  In the near term, the team will be based out of the Middle East and looking to meaningfully grow its presence in the region. You will: Drive the process of identifying high-value use cases for custom LLMs that Scale can build within government entities Partner with clients to understand their most pressing problems and brainstorm how Scale can best help Manage the long-term health of clients by identifying and preempting areas of risk or concern Be the main point-of-contact for clients if they have any questions, issues, or concerns and triage accordingly Collaborate with the operational and engineering execution teams to track delivery and timelines Review, track and improve operational performances and be obsessed with continuous improvement Brainstorm with premier research institutions building Arabic LLMs how Scale can best support and/or ideas they should consider testing Have proficiency in reading, writing, and speaking in Arabic  Ideally you'd have: 4+ years of total work experience, with experience in consulting or as a technical program management role in industry  Experience at a Big 3 Consulting Firm or a leading tech company A proven track record in B2B client facing roles and expanding client relationships Ability to understand APIs and the ML training lifecycle and build great relationships with technical customers Great cross-functional experience and collaborative ability Excellent verbal and written communications A track record of structured, analytics-driven problem solving A history of diligence and organization across multiple work streams An action-oriented mindset that balances creative problem solving with the scrappiness to ultimately deliver results Analytical, planning, and process improvement capability 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, we believe that the transition from traditional software to AI is one of the most important shifts of our time. Our mission is to make that happen faster across every industry, and our team is transforming how organizations build and deploy AI.  Our products power the world's most advanced LLMs, generative models, and computer vision models. We are trusted by generative AI companies such as OpenAI, Meta, and Microsoft, government agencies like the U.S. Army and U.S. Air Force, and enterprises including GM and Accenture. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.  We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision.  PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

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Think Different. Build the Future. 🚀Our MissionBuild everyday AGI—trustworthy, consumer-grade agents that redefine human–AI collaboration for millions. Software shouldn’t wait for commands; it should partner with you, amplifying what you can do every single day.Why AGI, Inc.We’re a stealth team of elite ex-founders, Stanford and Berkeley researchers, and DeepMind alumni. With years of agent research, our platform already runs live agent workflows with 99.9% reliability. Our investors funded the first wave of AI giants; now they’re backing us to deliver the next—everyday AGI. If you see possibilities where others see limits, read on.About the RoleYou’ll be one of the very first engineers shaping our core product and reimagining how people integrate AI companions into their day-to-day workflows. Expect to:Think from zero. Whiteboard the concept in the morning and demo it by evening.Own the stack. Backend, frontend, model orchestration, observability—whatever removes friction between idea and shipped product.Bridge research and delight. Sit beside scientists, translate breakthroughs into polished consumer experiences, and push them to production in days, not quarters.Define the bar. Establish the engineering, design, and reliability standards that every future hire will follfow.Move markets. Your features won’t live in a sandbox—they’ll redefine how everyday people trust and collaborate with AI.You’ll be leading initiatives from conceptual design to production deployment, iterating quickly and putting real user feedback at the heart of product decisions. Key ResponsibilitiesCraft end-to-end experiences: Design, code, and ship full-stack features—Python, TypeScript, Postgres, GPU infra—whatever it takes. Design the MCP schema: Create flexible, extensible JSON-based models that represent property context, room types, policies, branding, and more. Integrate core booking systems: Build robust connectors to PMS, CRM, messaging platforms, and booking enginesBuild internal and partner-facing APIs: Develop secure, scalable APIs that ingest, structure, and serve hotel context to downstream AI agents. Engineer for trust: Single-digit-ms paths, sandboxed execution, telemetry everywhere—four nines or it’s broken. Invent agentic primitives: APIs, eval harnesses, and safety guardrails that let wild research ship to millions. Listen, iterate, delight: Sit with users, absorb the pain, and turn feedback into joy—fast. What You BringMust HavesMore than 5 yrs years of professional software engineering experienceStrong backend fundamentals: REST API architecture, distributed systems, cloud deploymentProficiency with JavaScript, React, and other web technologiesProficiency with a backend language (we use Py C. B thon)Some experience with relational databases like Postgres/MySQLDeep experience integrating 3rd-party APIs and building data abstraction layers (bonus: hotel/hospitality tech exposure)Working knowledge of LLM pipelines, embeddings, and context windows (LangChain, OpenAI Assistants API, etc.)Proven ability to thrive in fast-growing, product-driven companies by effectively navigating loosely defined tasks and managing competing priorities or deadlines.Nice to HavesFamiliarity with travel tech (e.g. Mews, SynXis, Oracle Opera, Cloudbeds)Experience designing or managing structured knowledge graphs or JSON schemasExperience with LLMs, prompt engineering, or function callingFormer founder, or early engineer at a startup who has built a product from scratch is a plusInterest in AI/ML (direct experience not required)

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About BreeBree is a consumer finance platform that brings better, faster, and cheaper financial services to over half the Canadian population who live paycheck to paycheck. We operate in a huge, but overlooked market in a country with the least amount of financial technology innovation in the developed world. Our first act is to become the cheapest and best provider of short-term credit to the 20 million people in Canada who live paycheck to paycheck.More than half a million Canadians have already signed up with Bree, and we believe we are just scratching the surface. We are in an exciting place where we have product market fit, explosive growth, and a clear path to becoming one of the most important FinTechs in Canada.We have $5M ARR per full-time engineer, growing at a double-digit monthly rate, profitable, and have had 0 voluntary employee churn. We were part of Y Combinator in 2021 and raised a $2M seed round shortly after.About the RoleBree is on a mission to build the best AI native engineering team. Ideal candidates have a deep understanding of modern data stack and use AI tools for efficient, reliable delivery. Read more about AI native engineering teams here.You’ll be at the intersection of product, engineering, and growth, shaping how we make decisions, measure performance, and scale data infrastructure to support millions of Canadians.What You'll DoConduct deep-dive analyses to uncover user behaviours, friction points, and growth opportunities.Design and analyze A/B tests to optimize user experience and conversion rates.Develop and maintain high-leverage dashboards and self-serve reporting tools for product and business teams.Leverage statistics and machine learning to provide predictive insights and enhance personalization.Help build and maintain a unified data warehouse that supports both operational and analytical use cases.What You'll NeedProficiency in SQL and Python, with a track record of building clean, reusable analytical code.Familiarity with experimentation frameworks, causal inference, and statistical modelling.Strong data visualization skills and experience with BI tools (e.g. Metabase and Streamlit).Exceptional collaboration and communication skills, thriving in low-churn teams focused on excellence and innovation.BenefitsTop of the market compensation for top performers$1,500 annual learning stipend$1,000 annual wellness stipend$250 monthly lunch stipendComprehensive insurance coverage2 annual company retreatsParental leaveUnlimited PTO

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About BreeBree is a consumer finance platform that brings better, faster, and cheaper financial services to over half the Canadian population who live paycheck to paycheck. We operate in a huge, but overlooked market in a country with the least amount of financial technology innovation in the developed world. Our first act is to become the cheapest and best provider of short-term credit to the 20 million people in Canada who live paycheck to paycheck.More than half a million Canadians have already signed up with Bree, and we believe we are just scratching the surface. We are in an exciting place where we have product market fit, explosive growth, and a clear path to becoming one of the most important FinTechs in Canada.We have $5M ARR per full-time engineer, growing at a double-digit monthly rate, profitable, and have had 0 voluntary employee churn. We were part of Y Combinator in 2021 and raised a $2M seed round shortly after.About the RoleBree is on a mission to build the best AI native engineering team. Our ideal Machine Learning Engineer has a deep understanding of modern ML systems and deploying models at scale in production environments. You'll enjoy leveraging AI tools to iterate quickly on models, experiment with cutting-edge techniques, and deliver high-impact solutions efficiently and reliably. Read more about AI native engineering teams here.What You'll DoDesign, train, and deploy scalable machine learning models for critical FinTech applications, including credit risk assessment, fraud detection, and personalized financial recommendations, using frameworks like PyTorch and LightGBM. Architect ML pipelines integrating with backend systems to process high-throughput data streams with low-latency inference for real-time decision-making.Leverage AI tools to automate experimentation, hyperparameter tuning, and test-driven ML development, accelerating the delivery of robust, production-ready models.Own the full ML lifecycle, including feature engineering, model evaluation, A/B testing, monitoring for drift, and seamless scaling to support explosive user growth while ensuring compliance with financial regulations.Experiment with advanced techniques in deep learning and reinforcement learning to push the boundaries of what's possible in consumer finance.Mentor junior team members and contribute to a culture of innovation, sharing insights from competitive ML experiences (e.g., Kaggle competitions, research publications) to elevate the team's capabilities.What You'll NeedProven expertise in building and deploying production ML systems and handling imbalanced datasets in high-stakes domains like finance or e-commerce.Mastery of traditional ML systems and modern deep learning/reinforcement learning architectures, with a track record of applying them to real-world problems.Competitive ML experience (e.g., top rankings in Kaggle, NeurIPS challenges, or open-source contributions) is a bonus, demonstrating your ability to innovate under constraints and deliver high-performance models.Architectural thinking to solve ambiguous, data-driven problems in fast-paced settings, with experience scaling ML systems under explosive growth while maintaining accuracy, fairness, and explainability.Exceptional collaboration and communication skills, including the ability to explain complex ML concepts to non-technical stakeholders, thriving in low-churn teams focused on excellence, ethical AI, and long-term impact.A passion for FinTech and consumer impact, with a bias toward action and a history of shipping ML features that drive measurable results, such as improved accuracy in credit decisions or reduced fraud losses.BenefitsTop of the market compensation for top performers$1,500 annual learning stipend$1,000 annual wellness stipend$250 monthly lunch stipendComprehensive insurance coverage2 annual company retreatsParental leaveUnlimited PTO

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About BreeBree is a consumer finance platform that brings better, faster, and cheaper financial services to over half the Canadian population who live paycheck to paycheck. We operate in a huge, but overlooked market in a country with the least amount of financial technology innovation in the developed world. Our first act is to become the cheapest and best provider of short-term credit to the 20 million people in Canada who live paycheck to paycheck.More than half a million Canadians have already signed up with Bree, and we believe we are just scratching the surface. We are in an exciting place where we have product market fit, explosive growth, and a clear path to becoming one of the most important FinTechs in Canada.We have $5M ARR per full-time engineer, growing at a double-digit monthly rate, profitable, and have had 0 voluntary employee churn. We were part of Y Combinator in 2021 and raised a $2M seed round shortly after.About the RoleBree is on a mission to build the best AI native engineering team. As a new graduate joining us in 2026, you'll be part of a high-growth environment where you'll learn to build scalable systems while leveraging AI tools to accelerate your development and problem-solving. Our ideal candidate is a smart, high-potential recent grad who is AI native, comfortable integrating AI into their workflow to ship code efficiently and reliably. Read more about AI native engineering teams here.What You'll DoContribute to building scalable backend systems to handle high-throughput financial transactions in a fast-paced FinTech startup.Collaborate on designing and implementing features, incorporating AI tools to automate testing and speed up development cycles.Help ensure system reliability through monitoring, debugging, and scaling efforts to support a growing user base.Work closely with the team to solve real-world problems, learning best practices in software engineering along the way.What You'll NeedA strong foundation in computer science fundamentals, such as data structures, algorithms, and software design, ideally demonstrated through academic projects, internships, or personal initiatives.Enthusiasm for backend development and an eagerness to learn modern tools and practices in a regulated environment.Familiarity with or interest in using AI tools to enhance coding efficiency and innovation.Excellent problem-solving skills, a growth mindset, and the ability to collaborate in a supportive, low-churn team focused on excellence.BenefitsTop of the market compensation for top performers$1,500 annual learning stipend$1,000 annual wellness stipend$250 monthly lunch stipendComprehensive insurance coverage2 annual company retreatsParental leaveUnlimited PTO

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About BreeBree is a consumer finance platform that brings better, faster, and cheaper financial services to over half the Canadian population who live paycheck to paycheck. We operate in a huge, but overlooked market in a country with the least amount of financial technology innovation in the developed world. Our first act is to become the cheapest and best provider of short-term credit to the 20 million people in Canada who live paycheck to paycheck.More than half a million Canadians have already signed up with Bree, and we believe we are just scratching the surface. We are in an exciting place where we have product market fit, explosive growth, and a clear path to becoming one of the most important FinTechs in Canada.We have $5M ARR per full-time engineer, growing at a double-digit monthly rate, profitable, and have had 0 voluntary employee churn. We were part of Y Combinator in 2021 and raised a $2M seed round shortly after.About the RoleBree is on a mission to build the best AI native engineering team. Our ideal candidate has a deep understanding of modern mobile development and cross-platform architectures, with a focus on React Native and Expo, and enjoys leveraging AI tools to ship high-quality apps efficiently and reliably. Read more about AI native engineering teams here.What You'll DoDesign and implement intuitive, performant mobile features using React Native and Expo to deliver seamless user experiences for financial services, handling complex state management and offline capabilities.Architect cross-platform mobile apps that integrate with backend APIs, optimizing for battery life, network efficiency, and real-time updates in a high-throughput FinTech environment.Leverage AI tools such as Claude Code and Cursor to automate UI/UX prototyping, testing, and code generation, accelerating app iterations and deployments in a hyper-growth startup.Own end-to-end mobile app reliability, including CI/CD pipelines, crash reporting, and A/B testing to support millions of users across iOS and Android.Collaborate on app store submissions, performance tuning, and feature roadmaps, ensuring rapid shipping of updates while maintaining security and compliance standards.What You'll NeedProven track record of shipping consumer-facing mobile apps to production using React Native and Expo, with experience in scaling to large user bases.Mastery of modern mobile stacks, including React Native, Expo Router, state management (e.g., Redux or MobX), and native modules; familiarity with TypeScript and performance optimization tools a plus.Strong architectural thinking to tackle ambiguous mobile challenges, such as cross-device compatibility and accessibility, in fast-paced environments with explosive growth.Exceptional problem-solving skills in debugging complex mobile issues, with a history of contributing to open-source projects or leading app refactorings.Outstanding collaboration and communication abilities, excelling in low-churn teams that prioritize innovation, code quality, and user-centric design.BenefitsTop of the market compensation for top performers$1,500 annual learning stipend$1,000 annual wellness stipend$250 monthly lunch stipendComprehensive insurance coverage2 annual company retreatsParental leaveUnlimited PTO

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About BreeBree is a consumer finance platform that brings better, faster, and cheaper financial services to over half the Canadian population who live paycheck to paycheck. We operate in a huge, but overlooked market in a country with the least amount of financial technology innovation in the developed world. Our first act is to become the cheapest and best provider of short-term credit to the 20 million people in Canada who live paycheck to paycheck.More than half a million Canadians have already signed up with Bree, and we believe we are just scratching the surface. We are in an exciting place where we have product market fit, explosive growth, and a clear path to becoming one of the most important FinTechs in Canada.We have $5M ARR per full-time engineer, growing at a double-digit monthly rate, profitable, and have had 0 voluntary employee churn. We were part of Y Combinator in 2021 and raised a $2M seed round shortly after.About the RoleBree is on a mission to build the best AI native engineering team. Our ideal candidate has a deep understanding of modern backend systems and software architecture and enjoys leveraging AI tools to ship efficiently and reliably. Read more about AI native engineering teams here.What You'll DoArchitect and implement scalable event-driven microservices using modern protocols like gRPC to handle high-throughput financial transactions with sub-millisecond latency.Design backend systems integrating TypeScript with PostgreSQL, while incorporating Go or Rust for performance-critical components in a regulated FinTech environment.Leverage AI tools such as Claude Code and Cursor to automate test-driven development, accelerating feature delivery in a hyper-growth startup.Own end-to-end system reliability, including observability, fault-tolerant design, and seamless scaling to support millions of users.What You'll NeedProven expertise in building distributed systems with event sourcing or CQRS patterns, ideally in high-stakes domains like finance or e-commerce.Mastery of modern backend stacks, including gRPC, message queues (e.g., Kafka), and cloud-native tools, with strong TypeScript and PostgreSQL skills; Go/Rust experience a plus.Strong architectural thinking to solve ambiguous problems in fast-paced settings, with a track record of scaling systems under explosive growth.Exceptional collaboration and communication skills, thriving in low-churn teams focused on excellence and innovation.BenefitsTop of the market compensation for top performers$1,500 annual learning stipend$1,000 annual wellness stipend$250 monthly lunch stipendComprehensive insurance coverage2 annual company retreatsParental leaveUnlimited PTO

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Why SalesApe?Join SalesApe, one of the fastest-growing AI companies, recognised as a leader in cutting-edge AI technology and backed by over $20 million from top VCs.We’re at the dawn of a powerful evolution, set to transform society with our tech. Our mission? To tackle inequality by empowering a huge market of non-tech SMBs—93% of all businesses, think construction, automotive, real estate, and more. While the tech industry has compounded its growth with computing power, these businesses have been technically starved.With AI agents and our natural language interface technology, we’re unlocking huge productivity gains for our clients. It’s deeply rewarding to see firsthand the transformation in small businesses as they embrace their agent—not just as a tool, but as a trusted, hard-working member of their team. The emotional bond our clients feel toward their agent is undeniable—they often tell us their ‘Ape’ has become part of the family. Our vision is to become the ‘ brain’ of a business spinning out agent worker, freeing up time and simplifying operations, to ensure humans spend more time in real-life interaction.If you’re ready for intense, high-energy, meaningful work, come make a real impact with us at SalesApe Our Vision, Mission and Purpose:As we started building with large language models and AI-powered natural language interfaces, I had an aha moment. It hit me just how significant this inflection point is: compute—the raw power of computers—is now accessible to people who don’t use computers.""And when I thought about that, I realized the closest invention humanity has seen to this shift was electricity. When electricity arrived, it didn’t just light up homes—it transformed industries, democratized wealth, and empowered everyone, from factory owners to farmers, to grow and thrive. Today, with AI, we have the opportunity to do the same for the real economy.""For the last two decades, the tech industry has had an incredible advantage. Computers have been like co-pilots for us, quietly amplifying our productivity and enabling us to grow faster than ever before. But 95% of businesses—builders, plumbers, and real estate agents—have been technically starved. These businesses make up 50% of GDP, five times larger than the entire tech industry, but they’ve never had access to the tools they need to compete.""This is the inequality we’re solving. APE AI is democratizing technology, bringing the power of compute to businesses that have been left behind. And what’s so rewarding is that we’re not just helping faceless corporations—we’re empowering real people. Small business owners who pour their hearts into their work. People whose success directly impacts their families, their communities, and society at large. It’s deeply rewarding to see firsthand the transformation in small businesses as they embrace their agent—not just as a tool, but as a trusted, hard-working member of their team.""For me, this mission is personal. I’ve spent my career building companies that encourage people to connect in real life, to be physically active, and to engage with their communities. This isn’t just about productivity—it’s about health, happiness, and thriving societies. Humans weren’t built to spend their lives staring at screens. We’re wired to interact, to move, to be part of the real world. And what excites me is that Ape AI is helping to make this possible—empowering businesses that create real-world value to thrive at the same pace as the tech giants.""This isn’t just about technology. It’s about fairness. It’s about giving the power of compute to the people who need it most, so they can grow, thrive, and make a difference. That’s our mission, and it’s something we can all be proud of.‍Role Overview:SalesAPE.ai seeks a highly motivated B2B SaaS Client Onboarding Manager to work closely with all new and newly launched clients to support them in their success using AI agents. You'll be instrumental in understanding client needs, helping them set up and train the perfect AI SDRs, and be their go to person during their early months to ensure that they are set up to get a strong ROI from our tech and become raving fans. This role is ideal for a self-managing, growth-oriented individual with a proven track record in self-learning and enhancing sales skills.‍Key Responsibilities:Be the first point of contact for new clients and understand their needs from the moment they sign upCoordinate and complete the setup and training of high performing AI agents using our platformProvide training and assistance to our new customers in how to optimise their use of our technologyBuild basic API based integrations between our platform and 3rd party tech used by our customersManage the QA, testing and launch process, providing active monitoring of all newly launched AI agentsManage any support requests that come in from the clients you’re onboarding and call in help from others in the team where neededUnderstand clients goals in improving sales performance and coach them in how to increase engagement, conversion and sales revenues to achieve their business outcomesAnalyse the performance of all newly launched agents every week and make recommendations for improvements that will drive more value to the customerTake ownership of actioning improvements you see and drive for resultsPrepare for and hold regular account performance check in calls with new clients to ensure that they end their first 8 weeks onboarding with a high view of their experience and a strong ROI that we drive for their business.Create advocates out of our customers to drive referrals and collect NPS scores, testimonials, case studies and reference contacts for sales and marketing usage.‍Requirements:Background or degree in maths, computer science, product development, mechanical engineering, or similar logic and solution building based discipline. Successful candidates will have a proven ability to build and make things work!Proven Customer Success related experience in B2B SaaS, specifically with SMEs.Self-managing with a strong growth mindset.History of self-learning through books, courses, and other resources to refine sales skills.Renowned as a provider of a great customer experience in either customer success or support in previous teams.Skilled in digital communication and online tools and platforms, especially comfortable on video calls with clients.‍What We Offer:A pivotal role in a fast-growing AI startup with a unique product offering.Competitive compensation.A chance to grow to lead a team in a high-growth market.A collaborative, innovative, and supportive work culture.Opportunities for professional growth in the emerging field of AI solutions.Freedom and autonomy are our principal values.

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

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Ironclad is the leading AI-powered contract lifecycle management platform, processing billions of contracts every year. Every business is powered by contracts, but managing them can slow companies down and cost millions of dollars. Global innovators like L’Oréal, OpenAI, and Salesforce trust Ironclad to transform contracting into a strategic advantage - accelerating revenue, reducing risk, and driving efficiency. It’s the only platform that manages every type of contract workflow, whether a sales agreement, an HR agreement or a complex NDA. We’re building the future of intelligent contracting and writing the narrative for how contracts unlock strategic growth. Forrester Wave and Gartner Magic Quadrant have consistently recognized Ironclad as a leader in our category. We’ve also been named one of Fortune’s Great Places to Work six years running, featured on Glassdoor’s Best Places to Work, and recognized by Forbes’ 50 Most Promising AI Companies. We’re backed by leading investors like Accel, Sequoia, Y Combinator, and BOND. We’d love for you to join us! This is a hybrid role. Office attendance is required at least twice a week on Tuesdays and Thursdays for collaboration and connection. There may be additional in-office days for team or company events. About Ironclad ITOur IT team plays a pivotal role in creating platforms for success so our Ironclad team can execute on our vision. As an IT teammate, you’ll partner with our Operations team on growth strategies and execute on technology needs as we grow. You also bring empathy to understand employee technology needs. You’ll enable the team, build out new offices, and design IT strategy for a fast-paced, fast-growing technology company.Roles & Responsibilities:Lead, mentor, and manage a team of data engineers, fostering a culture of collaboration, innovation, and continuous improvement.Collaborate with other technical and non-technical teams to understand business requirements and translate them into efficient data engineering solutions.Design, implement, and maintain data pipelines and ETL processes that support data integration, transformation, and loading into the data warehouse.Ensure data quality, reliability, and consistency by implementing robust testing, monitoring, and validation processes.Stay current with industry trends and best practices in data engineering, cloud technologies, and data architecture.Drive the adoption of best practices for data governance, data security, and compliance within the data engineering team.Manage project timelines, resource allocation, and priorities to ensure timely delivery of data engineering projects.Collaborate with other directors and leaders to align data engineering initiatives with broader business objectives.Work closely with the IT & Security DS and other cross-functional DS teams on design, reference architecture, and Data Strategy.Experience setting journey driven by enterprise business outcomes, modernization, and stakeholder alignment.Excellent communication skills with technical and non‑technical audiences.Aptitude for budgeting, vendor negotiation, and operational efficiency.Qualifications:Strong data infrastructure and data architecture skills.A proven track record of leading and scaling large data teams.Strong operational skills to drive efficiency and speed.Strong project management leadership.Strong vision for how Data Engineering can proactively improve companies.12+ years of experience in Analytics, BI, and Data Warehousing.Experience scaling and managing 20+ person teams and in managing managers.Experience leading in a highly cross-functional environment, likely collaborating closely with Engineering, Product Management, and/or Data Science.Communication and leadership experience, with experience initiating and driving large-scale strategic initiatives.Data architecture experience.Experience in SQL or similar languages.Development experience in at least one object-oriented language (Python, Java, etc.).Solid understanding of how experimentation (A/B testing) works.Requirements:Bachelor's or Master's degree in Computer Science, Engineering, or a related field.Proven experience (8+ years) in data engineering, with at least 5 years in a senior leadership role.Strong hands-on experience with cloud-based data engineering platforms preferred (e.g. GCP, Google Big Query, Looker, Databricks, Snowflake, dbt Labs, Airflow, Fivetran).Proficiency in SQL, Python, and other relevant programming languages.Experience with data modeling, ETL processes, and data integration patterns.Excellent communication skills with the ability to articulate complex technical concepts to both technical and non-technical stakeholders.Strong leadership and team management skills, with the ability to inspire and develop a high-performing team.Familiarity with agile development methodologies and project management practices.Adept at problem-solving, critical thinking, and decision-making in a fast-paced environment.Practical experience with data governance and compliance frameworks.Hands-on proficiency with data streaming and real-time data processing technologies.Benefits:Health, dental, and vision insurance401kWellness reimbursementTake what you need vacation policyGenerous parental leave for both primary and secondary caregiversBase Salary Range: $265,000 - $294,000The base salary range represents the minimum and maximum of the salary range for this position based at our San Francisco headquarters. The actual base salary offered for this position will depend on numerous factors, including individual proficiency, anticipated performance, and the location of the selected candidate. Our base salary is just one component of Ironclad’s competitive total rewards package, which also includes equity awards (a new hire grant, along with opportunities for additional awards throughout your tenure), competitive health and wellness benefits, and a commitment to career growth and development.Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

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📐 About this roleWRITER is seeking a dynamic retail and corporate banking specialist to join our team. This strategic role is designed for an experienced professional with a deep understanding of the retail and corporate banking business and processes and a proven track record of driving business growth and innovation. The ideal candidate has a deep interest in building AI solutions into banking-specific core workflows and will be responsible for developing and executing strategies that position WRITER as a leading solution provider for retail and corporate banks. This is a unique time to join a fast-growing AI startup that’s been building solutions for enterprises from its inception. Our team is a stellar and diverse unit, from groundbreaking AI researchers and engineers to go-to-market and customer success builders and scalers who are all maniacally focused on our mission: to transform work. As a key member of this unit, you would be a key person contributing to the growth of one of our core vertical businesses - a role that will be heavily intertwined with most of the organization; it is both hands-on and strategic.  To be successful the candidate will need to be able to build strong working relationships across the organization, communicate complex topics in a digestible way to a variety of internal stakeholders (including technical personas) and guide them in the buildout and implementation of AI-enabled use cases. The candidate must be comfortable in client facing conversations with senior executives in the banking industry. 🦸🏻‍♀️ Your responsibilitiesProduct strategy - determining the Generative AI use cases and customer segments in banks where WRITER can have a major impact, quickly.Marketing - developing and telling the story of how WRITER will transform retail banking, corporate banking and markets workflows, in the language of our industry.Sales - working closely with our talented, experienced Strategic sales team to generate and close deals.Delivery - working with our technical and customer success teams to build and implement GenAI applications that transform our clients’ businesses.You will report to the Head of financial services, as part of the GTM Strategy team. ⭐️ Is this you?7+ years at a major (global top 20) retail or corporate bank in a commercial role.  Relevant experience at a top-tier consulting firm serving these institutions will also be considered.Deep understanding of the entire corporate and retail banking value chain, particularly AML/KYC, onboarding, transaction flows and desire to build. Thrive in a scrappy, fast-paced environment - ours is not a mature product category, it will require creativity and active listening to figure out how WRITER’s solutions can be most transformative.A deep understanding of the legal, regulatory, policy and competitive dynamics affecting the retail and corporate banking environment.Strong presentation skills, written and verbal communication skills.Experience with AI-driven solutions or technology products in the  sector.Strong analytical skills with the ability to interpret data and make strategic decisions.Creative thinker with a passion for innovation and problem-solving.Experience working cross-functionally with multiple stakeholders. 🍩 Benefits & perks (US Full-time employees)Generous PTO, plus company holidaysMedical, dental, and vision coverage for you and your familyPaid parental leave for all parents (12 weeks)Fertility and family planning supportEarly-detection cancer testing through GalleriFlexible spending account and dependent FSA optionsHealth savings account for eligible plans with company contributionAnnual work-life stipends for:Home office setup, cell phone, internetWellness stipend for gym, massage/chiropractor, personal training, etc.Learning and development stipendCompany-wide off-sites and team off-sitesCompetitive compensation, company stock options and 401kWRITER is an equal-opportunity employer and is committed to diversity. We don't make hiring or employment decisions based on race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other basis protected by applicable local, state or federal law. Under the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.By submitting your application on the application page, you acknowledge and agree to WRITER's Global Candidate Privacy Notice.

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As a Software Engineer on the ML Infrastructure team, you will design and build the platform for our agent sandboxing platform: the secure, high-performance code execution layer powering our agentic workflows. This system underpins critical applications and research initiatives, and is deployed across both internal and customer-managed environments. This position requires deep expertise in systems engineering: operating systems, virtualization, networking, containers, and performance optimization. Your work will directly enable agents to execute untrusted or user-submitted code safely, efficiently, and repeatedly, and with fast startup times, strong isolation guarantees, and support for snapshotting and inspection. You will: Design and build the sandboxing platform for code execution across containerized and virtualized environments. Ensure strong isolation, security, and reproducibility of execution across user sessions and workloads. Optimize for cold-start latency, memory footprint, and resource utilization at scale. Collaborate across security, infra, and product teams to support both internal research use cases and enterprise customer deployments. Lead architecture reviews and own projects from design through deployment in fast-paced, cross-functional settings. Ideally you'd have: 3+ years of experience building high-performance systems software (e.g. OS, container runtime, VMM, networking stack). Deep understanding of Linux internals, process isolation, memory management, cgroups, namespaces, etc. Experience with containerization and virtualization technologies (e.g., Docker, Firecracker, gVisor, QEMU, Kata Containers). Proficiency in a systems programming language such as Go, Rust, or C/C++. Familiarity with networking, security hardening, sandboxing techniques, and kernel-level performance tuning. Comfort working across infrastructure layers, from kernel modules to orchestration frameworks (e.g., Kubernetes). Strong debugging skills and the ability to make performance/security tradeoffs in production systems. Nice to haves: Familiarity with LLM agents and agent frameworks (e.g., OpenHands, Agent2Agent, MCP). Experience running secure workloads in multi-tenant or untrusted environments (e.g., FaaS, CI sandboxes, remote notebooks). Exposure to snapshotting and restore techniques (e.g., CRIU, VM snapshots, overlayfs). Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$156,000—$225,600 USDPLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, we believe that the transition from traditional software to AI is one of the most important shifts of our time. Our mission is to make that happen faster across every industry, and our team is transforming how organizations build and deploy AI.  Our products power the world's most advanced LLMs, generative models, and computer vision models. We are trusted by generative AI companies such as OpenAI, Meta, and Microsoft, government agencies like the U.S. Army and U.S. Air Force, and enterprises including GM and Accenture. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.  We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision.  PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

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The Company   Metropolis is an artificial intelligence company that uses computer vision technology to enable frictionless, checkout-free experiences in the real world. Today, we are reimagining parking to enable millions of consumers to just "drive in and drive out." We envision a future where people transact in the real world with a speed, ease and convenience that is unparalleled, even online. Tomorrow, we will power checkout-free experiences anywhere you go to make the everyday experiences of living, working and playing remarkable - giving us back our most valuable asset, time.   The Role Metropolis is seeking a Senior Staff Software Engineer to lead one of our Customer Experience application development teams through the next growth phase. As an engineering leader, you will be driving the future of Metropolis products forward, shaping vision that enables us to build top notch customer experiences. This individual will provide strong technical thought leadership and will shape an engineering-led culture.   The ideal candidate will have a product-oriented mindset exuding extreme curiosity to explore customer experiences, obsessively finding opportunities for our customers to make technology experience frictionless. This leader will play a critical role in the company's success by ensuring that advancing the tech is aligned with customer needs and contributes to the company's overall growth and profitability.  This is a unique opportunity to realize a large business impact by building an end-to-end mobility platform that supports high throughput locations, aviation, fleet management and other use cases impacting the everyday experience of millions of people. If you are energized by the mission to empower our customers to harness time through remarkable mobility products, this role is for you. We operate in a fast-paced, challenging, and fun environment! We work together as one team to deliver on our commitments. We challenge the status quo every day, internally and externally.   Responsibilities Provide technical direction that influences the entire company by formulating and implementing technical vision and roadmap. Establish the technologies and best practices needed to achieve operational excellence in system reliability while enabling rapid experimentation and data-informed decisions. Through technology, enable step function improvements in developer experience and velocity. Be a great coach to bring the best out of our engineers and a key driver of hiring top talent. Empower collaborative environment where best product and technical ideas are nurtured and come to life. Create competitive advantages for our customers through their use of our global platform.    Qualifications  10+ years of experience building customer centric applications and products. Experience initiating and driving technical direction. Proven track record of designing and delivering large-scale distributed systems and software products in high volume consumer facing applications. Extremely strong fundamental computer science skills and expert level knowledge of Scala or Java or related language. Strong experience with data-intensive architectures. Deep understanding of tradeoffs involved in release engineering and other processes. Excellent written and verbal communication skills with a proven ability to present complex information in a clear and concise manner to a variety of audiences. Track record of successful cross-functional collaboration while building customer solutions in B2C and B2B settings. Preferred Qualifications  Advanced degree in a technical field such as computer science. Previous experience working inside innovative, high-growth environments. Experience succeeding in situations with high levels of ambiguity. Experience with leading the development of industry altering infrastructure. Experience with leveraging AI technology to streamline engineering activities.   When you join Metropolis, you’ll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $220,000.00 to $250,000.00 annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis’s total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans and more.  #LI-CM1 #LI-Onsite Metropolis Technologies is an equal opportunity employer. We make all hiring decisions based on merit, qualifications, and business needs, without regard to race, color, religion, sex (including gender identity, sexual orientation, or pregnancy), national origin, disability, veteran status, or any other protected characteristic under federal, state, or local law.  

false

The Company   Metropolis is an artificial intelligence company that uses computer vision technology to enable frictionless, checkout-free experiences in the real world. Today, we are reimagining parking to enable millions of consumers to just "drive in and drive out." We envision a future where people transact in the real world with a speed, ease and convenience that is unparalleled, even online. Tomorrow, we will power checkout-free experiences anywhere you go to make the everyday experiences of living, working and playing remarkable - giving us back our most valuable asset, time.   The Role Metropolis is seeking a Senior Staff Software Engineer to lead one of our Customer Experience application development teams through the next growth phase. As an engineering leader, you will be driving the future of Metropolis products forward, shaping vision that enables us to build top notch customer experiences. This individual will provide strong technical thought leadership and will shape an engineering-led culture.   The ideal candidate will have a product-oriented mindset exuding extreme curiosity to explore customer experiences, obsessively finding opportunities for our customers to make technology experience frictionless. This leader will play a critical role in the company's success by ensuring that advancing the tech is aligned with customer needs and contributes to the company's overall growth and profitability.  This is a unique opportunity to realize a large business impact by building an end-to-end mobility platform that supports high throughput locations, aviation, fleet management and other use cases impacting the everyday experience of millions of people. If you are energized by the mission to empower our customers to harness time through remarkable mobility products, this role is for you. We operate in a fast-paced, challenging, and fun environment! We work together as one team to deliver on our commitments. We challenge the status quo every day, internally and externally.   Responsibilities Provide technical direction that influences the entire company by formulating and implementing technical vision and roadmap. Establish the technologies and best practices needed to achieve operational excellence in system reliability while enabling rapid experimentation and data-informed decisions. Through technology, enable step function improvements in developer experience and velocity. Be a great coach to bring the best out of our engineers and a key driver of hiring top talent. Empower collaborative environment where best product and technical ideas are nurtured and come to life. Create competitive advantages for our customers through their use of our global platform.    Qualifications  10+ years of experience building customer centric applications and products. Experience initiating and driving technical direction. Proven track record of designing and delivering large-scale distributed systems and software products in high volume consumer facing applications. Extremely strong fundamental computer science skills and expert level knowledge of Scala or Java or related language. Strong experience with data-intensive architectures. Deep understanding of tradeoffs involved in release engineering and other processes. Excellent written and verbal communication skills with a proven ability to present complex information in a clear and concise manner to a variety of audiences. Track record of successful cross-functional collaboration while building customer solutions in B2C and B2B settings. Preferred Qualifications  Advanced degree in a technical field such as computer science. Previous experience working inside innovative, high-growth environments. Experience succeeding in situations with high levels of ambiguity. Experience with leading the development of industry altering infrastructure. Experience with leveraging AI technology to streamline engineering activities.   When you join Metropolis, you’ll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $220,000.00 to $250,000.00 annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis’s total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans and more.  #LI-CM1 #LI-Onsite Metropolis Technologies is an equal opportunity employer. We make all hiring decisions based on merit, qualifications, and business needs, without regard to race, color, religion, sex (including gender identity, sexual orientation, or pregnancy), national origin, disability, veteran status, or any other protected characteristic under federal, state, or local law.