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About DecagonDecagon is the leading conversational AI platform empowering every brand to deliver concierge customer experience. Our AI agents provide intelligent, human-like responses across chat, email, and voice, resolving millions of customer inquiries across every language and at any time.Since coming out of stealth, Decagon has experienced rapid growth. We partner with industry leaders like Hertz, Eventbrite, Duolingo, Oura, Bilt, Curology, and Samsara to redefine customer experience at scale. We've raised over $200M from Bain Capital Ventures, Accel, a16z, BOND Capital, A*, Elad Gil, and notable angels such as the founders of Box, Airtable, Rippling, Okta, Lattice, and Klaviyo.We’re an in-office company, driven by a shared commitment to excellence and velocity. Our values—customers are everything, relentless momentum, winner’s mindset, and stronger together—shape how we work and grow as a team.About the TeamOver the past few years, development of LLMs has evolved at a rapid pace. It’s not enough for our customers to just “set it and forget it” when it comes to AI software. Truly successful AI Agents require guidance and input throughout the development lifecycle.The Agent Product Management team drives this journey as Decagon’s in-house experts on building, deploying, and scaling AI agents. Agent PMs work directly with customers to bring their AI agents to life, and then grow each Agent into a core part of each company’s businesses. As one of our early APM’s, you will deploy our technology into some of the world’s most influential businesses, driving real world business impact as one part Product Manager, one part AI expert.About the RoleOn the APM team you’ll own each stage of the AI Agent building process. This can include:Collaborating with engineering to design a new product featureWriting and testing prompt logic for a specific customer use caseWorking with a customer’s executive team to define their AI roadmapYou’ll partner closely with every team at Decagon: Go-To-Market, Design, Engineering, and across our leadership team. You’ll become a key source of customer insight guiding our long-term product roadmap.APMs at Decagon own their own portfolio of agents from end-to-end and are trusted to make real impact. This role is for someone who dives deep into complex business problems, builds elegant solutions and then scales. them out to millions users.In this role, you willBuild, Design and optimize Enterprise-quality AI agents in collaboration with customers — understanding their workflows, pain points, and goals.Embed deeply within strategic customers to understand their business challenges and serve as a strategic advisor to their AI roadmapRun tight feedback loops into Engineering — influence feature development based on real customer needs.Represent Decagon externally — working closely with customers and prospects, participating in key deployments.Your background looks something like thisHave 1-4 years of relevant experience (e.g., product manager, engagement manager, consultant, founder, etc.)Deep technical acumen — able to understand and shape AI agent designs.Strong communication and relationship-building skills.Comfort working in fast-moving, ambiguous environments where you shape solutions as much as you implement them.Even betterA Computer Science, Engineering, or Math degree — or equivalent technical experience.BenefitsMedical, dental, and vision benefitsTake what you need vacation policyDaily lunches, dinners and snacks in the office to keep you at your bestCompensation$170K – $200K + Offers Equity

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About LakeraLakera is on a mission to ensure AI does what we want it to do. We are heading towards a future where AI agents run our businesses and personal lives. Here at Lakera, we're not just dreaming about the future; we're building the security foundation for it. We empower security teams and builders so that their businesses can adopt AI technologies and unleash the next phase of intelligent computing.We work with Fortune 500 companies, startups, and foundation model providers to protect them and their users from adversarial misalignment. We are also the company behind Gandalf, the world’s most popular AI security game.Lakera has offices in San Francisco and Zurich.We move fast and work with intensity. We act as one team but expect everyone to take substantial ownership and accountability. We prioritize transparency at every level and are committed to always raising the bar in everything we do. We promote diversity of thought as we believe that creates the best outcomes.Senior Product Designer We're looking for an experienced Senior Product Designer to lead the design of innovative products at the forefront of securing AI systems in the enterprise. Reporting into the Head of Product, you'll work at the intersection of complex security challenges, intuitive user experiences and cutting edge AI technology. You'll work closely with product managers, engineers, and cross-functional teams to create user-centered designs that address our customers’ unique challenges. This is an ideal role for a designer who thrives in complex problem spaces, loves creating intuitive solutions for technical users, and wants to shape how security teams interact with cutting-edge AI protection tools. As the first full-time product designer, you'll set the foundation for product design at Lakera.What You'll Do & Your Impact: Lead design for innovative end-to-end features that streamline workflows for enterprise security teams securing AI systemsPartner with product managers, engineers, and security experts to translate complex user needs into intuitive, user-centered experiencesCraft high-fidelity mockups and prototypes that facilitate stakeholder feedback and ensure smooth handoffs to engineeringEvolve our design system and component library to maintain consistency and delight across all features and platformsConduct user research through interviews and usability testing to identify pain points and opportunities for improvementPromote design leadership through championing design thinking throughout LakeraStay current with emerging trends in AI security technology and apply UX best practices to our unique contextWho You Are & What Makes You Qualified: 4-6 years of experience as a product designer, with a strong portfolio showcasing user-centered interfaces for complex applicationsExceptional communication skills with the ability to effectively translate between user needs and technical requirements, with internal and external stakeholdersSelf-starter mentality with proven success thriving in fast-paced environments and managing competing prioritiesStrategic mindset that connects design decisions to user insights, business objectives, and security requirementsExperience collaborating cross-functionally and adapting designs for different stakeholders and technical contextsExpert proficiency in modern design tools (Figma, etc.) and prototyping techniquesPassion for AI security and improving how security teams protect critical systemsExperience in Security or SaaS environments is a plusExperience leveraging AI in your work a plusLogisticsLocation: San FranciscoLogistics: Hybrid with 2 days per week in the office in downtown San Francisco OR Remote in New York (or east coast)Deadline to Apply: Applications reviewed on a rolling basis.Compensation & BenefitsOur total compensation package includes a competitive salary, equity, and benefits:Above-market equity grants.Health, dental, and vision insurance.401k plan.Paid parental leave.Unlimited PTO.Wellness and commuter benefits.At Lakera, we are dedicated to offering a highly competitive total rewards package, including cash compensation, equity, and comprehensive benefits. The final compensation for this role will be determined based on a variety of factors, including the scope and complexity of the position, as well as the candidate’s experience and qualifications. For roles based in San Francisco, the estimated annual base salary range is $170,000–$193,000 USD.👉 Let's stay connected! Follow us on LinkedIn, Twitter & Instagram to learn more about what is happening at Lakera.ℹ️ Join us on Momentum, the slack community for AI Safety and Security everything.❗To remove your information from our recruitment database, please email privacy@lakera.ai.

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About H: H exists to push the boundaries of superintelligence with agentic AI. By automating complex, multi-step tasks typically performed by humans, AI agents will help unlock full human potential.H is hiring the world’s best AI talent, seeking those who are dedicated as much to building safely and responsibly as to advancing disruptive agentic capabilities. We promote a mindset of openness, learning, and collaboration, where everyone has something to contribute. About the Team: The AI Data team advances the performance of Large Language Models (LLMs) and Vision-Language Models (VLMs) through cutting-edge data-centric techniques. From synthetic data generation to model distillation and AI-driven preference alignment, we develop high-quality datasets that enhance model efficiency, reasoning, and adaptability. Our work directly impacts the training and fine-tuning of frontier AI systems, ensuring they learn from richer, more diverse, and better-structured data.Join us in shaping the future of AI through cutting-edge data optimization. We’re looking for driven individuals who thrive in fast-changing environments, adapt to new research paradigms, and eagerly take on challenges—whether deploying models, inspecting data, or pioneering new synthetic and reinforcement learning data methods.Key Responsibilities:Develop and implement cutting-edge data strategies to improve the performance, efficiency, and applicability of LLMs, VLMs and Action Models:Generate and augment synthetic multimodal datasets, including images, text, and action trajectories, to advance model capabilities in areas like VQA, agent behaviors, and virtual navigationApply model distillation techniques to optimize large-scale models for edge deployment, ensuring scalability without compromising performanceDesign and iterate on evaluation frameworks to target edge cases and measure model improvements across multiple domainsLead research into aligning data with human and AI preferences, implementing feedback loops to refine agent decision-making and learning behaviorsCollaborate effectively with cross-functional teams to integrate data-driven solutions into LLM, VLM and Agent systemsStay at the forefront of breakthroughs in AI data strategies, model distillation, and multimodal learning through active scientific explorationRequirements:Technical skills:Strong, polyvalent programming skills in Python covering parallel computing, system design, large-scale deployments, AWS deployments and model evaluationsExperience developing and maintaining multimodal data pipelinesExperience in training and deploying LLMs, VLMs or Pytorch modelsResearch skills:MSc or PhD in machine learning, computer vision, natural language processing, or a related fieldDeep understanding of training and evaluation paradigms for multimodal modelsSoft skills:Strong communication skills with technical and non-technical staffEffectiveness in fast-changing environmentsNice to Have:Experience with agent-specific data pipelines and improvement techniques is a plusExperience managing efficient multi-modal human annotation platforms is a plusLocation:Paris or London.This role is hybrid, and you are expected to be in the office 3 days a week on average.Please expect some travel between offices on a reasonable cadence (e.g., every 4-6 weeks).What We Offer:Join the exciting journey of shaping the future of AI, and be part of the early days of one of the hottest AI startupsCollaborate with a fun, dynamic and multicultural team, working alongside world-class AI talent in a highly collaborative environmentEnjoy a competitive salaryUnlock opportunities for professional growth, continuous learning, and career developmentIf you want to change the status quo in AI, join us.

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Opportunity Summary:Ema is building the next generation AI technology to empower every employee in the enterprise to be their most creative and productive. Our proprietary tech allows enterprises to delegate most repetitive tasks to Ema, the Universal AI employee. We are founded by ex-Google, Coinbase, Okta executives, and serial entrepreneurs. We’re well-funded by the top investors and angels in the world. Ema is based in Silicon Valley with offices in Bangalore.About the Role:The Developer Product Marketing Manager will own the end-to-end activation and completion funnel for our partner and customer builders. The core mission of this role is to significantly shorten the time to first value for developers and empower them to build independently on our platform. You will be responsible for creating a cohesive developer journey by integrating documentation, in-product guidance, lifecycle communications, and community programs.What You'll Do:Documentation & Enablement: Design and build our documentation information architecture, creating a high-quality, comprehensive set of resources for our developers.Lifecycle Marketing: Launch and manage behavior-based lifecycle communications (e.g., welcome series, activation nudges, re-engagement campaigns) to guide developers through the funnel.Community Building: Launch and grow "Ema Labs" to foster a vibrant developer community, showcase successful projects, and generate valuable case studies.Product-Assisted Enablement: Work with Product and Engineering to improve the first-time user experience (FTUE) with in-product checklists, contextual docs, and other guidance.Metrics & Reporting: Define, track, and report on key success metrics to measure the effectiveness of developer enablement and marketing programs.What Success Looks Like in 6 Months:Within six months, you will have optimized the developer journey to reduce the median Time-to-First-Workflow (TTFW) to seven days or less. You will have developed 8-10 production-quality templates, and our documentation will cover all fundamental aspects of the platform. Our behavior-based lifecycle marketing will be live and showing measurable lifts in activation and re-engagement. "Ema Labs" will have successfully run 1-2 cohorts, producing over 30 projects and at least four case studies.Skills and Qualifications:5+ years of relevant experience in product marketing, developer relations, technical marketing, or a similar role.Proven track record of creating and executing successful marketing and enablement programs for a technical audience.Strong written and verbal communication skills, with an ability to make complex technical concepts easy to understand.Experience with marketing automation tools and CRM systems.A data-driven mindset with experience in setting and tracking KPIs.Experience with Agentic AI is a plus.Join our innovative team and play a key role in shaping the marketing strategy and success of Ema. If you're passionate about marketing, driven by creativity, and excited about the potential of Generative AI, we want to hear from you!Ema Unlimited is an equal opportunity employer and is committed to providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or genetics.

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About Faculty At Faculty, we transform organisational performance through safe, impactful and human-centric AI. With more than a decade of experience, we provide over 350 global customers with software, bespoke AI consultancy, and Fellows from our award winning Fellowship programme. Our expert team brings together leaders from across government, academia and global tech giants to solve the biggest challenges in applied AI. Should you join us, you’ll have the chance to work with, and learn from, some of the brilliant minds who are bringing Frontier AI to the frontlines of the world.We operate a hybrid way of working, meaning that you'll split your time across client location, Faculty's Old Street office and working from home depending on the needs of the project. For this role, you can expect to be client-side for up-to three days per week at times and working either from home or our Old street office for the rest of your time. What You'll Be DoingWorking in our Defence business unit You will design, build, and deploy production-grade software, infrastructure, and MLOps systems that leverage machine learning. The work you do will help our customers solve a broad range of high-impact problems in the defence and national security space - examples of which can be found hereYou are engineering-focused, with a keen interest and working knowledge of operationalised machine learning. You have a desire to take cutting-edge ML applications into the real world. You will develop new methodologies and champion best practices for managing AI systems deployed at scale, with regard to technical, ethical and practical requirements. You will support both technical and non-technical stakeholders to deploy ML to solve real-world problems. To enable this, we work in cross-functional teams with representation from commercial, data science, product management and design specialities to cover all aspects of AI product delivery.The Machine Learning Engineering team is responsible for the engineering aspects of our customer delivery projects. As a Machine Learning Engineer, you’ll be essential to helping us achieve that goal by:Building software and infrastructure that leverages Machine Learning;Creating reusable, scalable tools to enable better delivery of ML systemsWorking with our customers to help understand their needsWorking with data scientists and engineers to develop best practices and new technologies; andImplementing and developing Faculty’s view on what it means to operationalise ML software.We’re a rapidly growing organisation, so roles are dynamic and subject to change. Your role will evolve alongside business needs, but you can expect your key responsibilities to include: Working in cross-functional teams of engineers, data scientists, designers and managers to deliver technically sophisticated, high-impact systems.Leading on the scope and design of projectsOffering leadership and management to more junior engineers on the team Providing technical expertise to our customersTechnical DeliveryWho We're Looking ForAt Faculty, your attitude and behaviour are just as important as your technical skill. We look for individuals who can support our values, foster our culture, and deliver for our organisation.We like people who combine expertise and ambition with optimism -- who are interested in changing the world for the better -- and have the drive and intelligence to make it happen. If you’re the right candidate for us, you probably:Think scientifically, even if you’re not a scientist - you test assumptions, seek evidence and are always looking for opportunities to improve the way we do things.Love finding new ways to solve old problems - when it comes to your work and professional development, you don’t believe in ‘good enough’. You always seek new ways to solve old challenges.Are pragmatic and outcome-focused - you know how to balance the big picture with the little details and know a great idea is useless if it can’t be executed in the real world.To succeed in this role, you’ll need the following - these are illustrative requirements and we don’t expect all applicants to have experience in everything (70% is a rough guide):Understanding of and interest in the full machine learning lifecycle, including deploying trained machine learning models developed using common frameworks such as Scikit-learn, TensorFlow, or PyTorchUnderstanding of the core concepts of probability and statistics and familiarity with common supervised and unsupervised learning techniquesExperience in Software Engineering including programming in Python.Technical experience of cloud architecture, security, deployment, and open-source tools. Hands-on experience required of at least one major cloud platformDemonstrable experience with containers and specifically Docker and KubernetesComfortable in a high-growth startup environment.Outstanding verbal and written communication.Excitement about working in a dynamic role with the autonomy and freedom you need to take ownership of problems and see them through to executionWhat we can offer you: The Faculty team is diverse and distinctive, and we all come from different personal, professional and organisational backgrounds. We all have one thing in common: we are driven by a deep intellectual curiosity that powers us forward each day. Faculty is the professional challenge of a lifetime. You’ll be surrounded by an impressive group of brilliant minds working to achieve our collective goals. Our consultants, product developers, business development specialists, operations professionals and more all bring something unique to Faculty, and you’ll learn something new from everyone you meet.

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At Parallel Web Systems, we are bringing a new web to life: it’s built with, by, and for AIs. Our work spans innovations across crawling, indexing, ranking, retrieval, and reasoning systems. Our first product is a set of APIs for AIs to do more with web data. We are a fully in-person team based in Palo Alto, CA. Our organization is flat; our team is small and talent dense.We want to talk to you if you are someone who can bring us closer to living our aspirational values:Own customer impact - It’s on us to ensure real-world outcomes for our customers.Obsess over craft - Perfect every detail because quality compounds.Accelerate change - Ship fast, adapt faster, and move frontier ideas into production.Create win-wins - Creatively turn trade-offs into upside.Make high-conviction bets - Try and fail. But succeed an unfair amount.Job: Our first deployed engineer hire - you will work closest with our customers, help them get the most out of our API, and scale with them. You will understand their product and use-cases deeply, and understand our API. You will be the power user of our API.You: Love working hands-on with customers. You are an engineer by training but also may have worked in consulting/PM/GTM or roles that are close to customers. You care most about owning customer impact. Our founder is Parag Agrawal. Previously, he was the CEO and CTO at Twitter. Our investors include First Round Capital, Index Ventures, Khosla Ventures, and many others.

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At NiCE, we don’t limit our challenges. We challenge our limits. Always. We’re ambitious. We’re game changers. And we play to win. We set the highest standards and execute beyond them. And if you’re like us, we can offer you the ultimate career opportunity that will light a fire within you.The Prompt Engineer optimizes prompts to generative AI models across NICE's Customer Service Automation (CSA) applications. As part of the CSA Research team, the Prompt Engineer collaborates with multiple groups to ensure our applications deliver the highest quality customer experience. This role partners with global development teams to diagnose and resolve prompt-related issues, define and execute tests for LLM-based systems that are difficult to evaluate using traditional automation tools, and educate teams on advances in prompt engineering. The Prompt Engineer also updates production prompts in line with evolving industry best practices. When customers require novel, custom prompts, the Prompt Engineer works closely with Professional Services and Product Management to capture requirements, design robust solutions, develop and execute test plans, and present results to stakeholders. Responsibilities Diagnose and resolve issues with production prompts. Refine prompts to generative AI systems to achieve customer goals. Collect and present quantitative analysis on solution success. Collaborate with developers to implement new production monitoring tools and metrics. Work with architects and Product Managers to implement prompts for new features. Consult with Machine Learning Engineers for complex prompt challenges. Stay informed on advances in prompt engineering. Required Qualifications BS in a technology-related field such as computer science, business intelligence/analytics, or finance. Three years of experience in a technology-related industry or position. Familiarity with best practices in prompt engineering, including differences between major LLM vendors. Strong collaboration skills with cross-functional teams. Excellent communication and presentation abilities for internal and external stakeholders. Experience with Python and at least one web app framework for prototyping (e.g., Streamlit or Flask). Preferred Qualifications Basic AWS resource management, including microservice deployment. Experience with Docker containerization. Experience with both standard and AI-based testing frameworks (e.g., PyTest, DeepEval). Exposure to generative AI application frameworks such as LangChain, LlamaIndex, and griptape.  About NiCE NICE Ltd. (NASDAQ: NICE) software products are used by 25,000+ global businesses, including 85 of the Fortune 100 corporations, to deliver extraordinary customer experiences, fight financial crime and ensure public safety. Every day, NiCE software manages more than 120 million customer interactions and monitors 3+ billion financial transactions. Known as an innovation powerhouse that excels in AI, cloud and digital, NiCE is consistently recognized as the market leader in its domains, with over 8,500 employees across 30+ countries. NiCE is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, age, sex, marital status, ancestry, neurotype, physical or mental disability, veteran status, gender identity, sexual orientation or any other category protected by law.  

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About H: H exists to push the boundaries of superintelligence with agentic AI. By automating complex, multi-step tasks typically performed by humans, AI agents will help unlock full human potential.H is hiring the world’s best AI talent, seeking those who are dedicated as much to building safely and responsibly as to advancing disruptive agentic capabilities. We promote a mindset of openness, learning, and collaboration, where everyone has something to contribute.Location:Paris or London.This role is hybrid, and you are expected to be in the office 3 days a week on average.Please expect some travel between offices on a reasonable cadence (e.g., every 4-6 weeks).What We Offer:Join the exciting journey of shaping the future of AI, and be part of the early days of one of the hottest AI startupsCollaborate with a fun, dynamic and multicultural team, working alongside world-class AI talent in a highly collaborative environmentEnjoy a competitive salaryUnlock opportunities for professional growth, continuous learning, and career developmentIf you want to change the status quo in AI, join us.

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About OumiWhy we exist: Oumi is on a mission to make frontier AI truly open for all. We are founded on the belief that AI will have a transformative impact on humanity, and that developing it collectively, in the open, is the best path forward to ensure that it is done efficiently and safely.What we do: Oumi provides an all-in-one platform to build state-of-the-art AI models, end to end, from data preparation to production deployment, empowering innovators to build cutting-edge models at any scale. Oumi also develops open foundation models in collaboration with academic collaborators and the open community.Our Approach: Oumi is fundamentally an open-source first company, with open-collaboration across the community as a core principle. Our work is:Research-driven: We conduct and publish original research in AI, collaborating with our community of academic research labs and collaboratorsCommunity-powered: We believe in the power of open-collaboration and welcome contributions from researchers and developers worldwideRole OverviewWe're seeking an experienced Platform Engineer who thrives in 0-to-1 environments to join Oumi's engineering team. You'll architect, build, and maintain the core platform services that power our products, working across the full technology stack with a focus on backend systems and infrastructure.What you’ll do:Platform Architecture: Design and implement scalable, maintainable platform architecture from the ground up, making strategic technical decisions that will shape our technology foundationBackend Development: Build robust, high-performance backend services and APIs using Python, with optional Rust for performance-critical componentsFrontend Integration: Collaborate on JavaScript/TypeScript frontend components that integrate with your backend servicesInfrastructure as Code: Implement infrastructure automation using modern DevOps practices and toolsTechnical Leadership: Provide technical guidance on best practices, architecture decisions, and coding standards0-to-1 Development: Convert product requirements into fully functioning systems, taking ownership of features from concept to productionWhat you’ll bring:Experience: Proven experience in software development, with a strong understanding of programming languages such as Python, Rust or Javascript.0-to-1 Track Record: Demonstrated success building systems from scratch in fast-paced environmentsTechnical Expertise:Strong proficiency in Python for backend developmentKnowledge of Rust or willingness to learn for performance-critical componentsFamiliarity with cloud platforms (AWS/GCP/Azure)Experience with containerization (Docker) and orchestration (Kubernetes)System Design: Ability to design clean APIs, scalable architectures, and efficient data modelsDevOps Mindset: Experience with CI/CD pipelines, monitoring, and observability toolsCommunication: Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams.Open Source: Familiarity with open-source projects and a passion for contributing to the open-source community.Values: Share Oumi's values: Beneficial for all, Customer-obsessed, Radical Ownership, Exceptional Teammates, Science-grounded.The Details:Benefits:Competitive salary: $140,000-$190,000Equity in a high-growth startupComprehensive health, dental and vision insurance21 days PTORegular team offsites and eventsLocation:Hybrid work environment, with offices in:Seattle, WAPalo Alto, CANew York, NY

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AI Researcher Job DescriptionAt AGI Inc., we're not just redefining AI-human interaction—we're creating a world where humans and AI amplify each other's potential. Leveraging breakthrough agentic reasoning capabilities, we aim to bring genuinely useful AGI into everyday life. Backed by years of research, AGI Inc. is pioneering the large-scale deployment of intelligent Consumer AI Agents that simplify, streamline, and elevate everyday experiences.Our team comprises elite ex-entrepreneurs, AI researchers, and product experts from Stanford, Berkeley, Nvidia, and DeepMind, supported by top investors in Silicon Valley. Our founder, Div Garg, is a Stanford AI PhD dropout and previously founded MultiOn, a leading AI Agent startup that introduced browser agents to the world, supported by General Catalyst, Forerunner, Samsung, and Amazon.At AGI Inc., we believe in fusing human insight with cutting-edge AI to craft experiences that are as intuitive as they are groundbreaking, paving the way toward everyday AGI. Our agentic products feel like a natural extension of who you are—an ever-present partner for ideas, projects, and solutions.About the RoleAs an AI Researcher at AGI Inc., you'll be at the forefront of developing novel algorithms and techniques for our browser-based intelligent agents. You'll bridge the gap between theoretical AI research and practical product applications, working on challenges that push the boundaries of what browser agents can accomplish. Your research will directly influence our product roadmap and contribute to the scientific community through publications and open-source contributions. This role offers a unique opportunity to work in an environment that values both academic rigor and real-world impact.Key ResponsibilitiesPioneer Novel Research: Lead research initiatives in areas such as reinforcement learning, multi-agent systems, and natural language understanding to enhance our browser agents' capabilities.Translate Research to Products: Work closely with engineering and product teams to implement research findings into products that deliver tangible value to users.Contribute to the Scientific Community: Publish high-quality research papers at top AI conferences (NeurIPS, ICML, ICLR, ACL) and participate in the open-source AI ecosystem.Develop Technical Roadmaps: Help define our technical research strategy, identifying promising areas that align with our product vision.Mentor and Collaborate: Work with and mentor other researchers and engineers, fostering a culture of scientific excellence and innovation.QualificationsEducation: MS or PhD in Computer Science, Machine Learning, AI, or a related technical field from a top university. Exceptional candidates with bachelor's degrees and equivalent research experience will also be considered.Research Experience: Demonstrated research experience in machine learning, NLP, reinforcement learning, or multimodal systems, evidenced by publications, open-source contributions, or impactful projects.Technical Skills: Strong programming skills in Python and experience with deep learning frameworks (PyTorch, TensorFlow). Familiarity with large language models, web technologies, and browser automation is a plus.Problem-Solving: Exceptional analytical thinking and creativity in approaching complex AI problems with novel solutions.Communication: Ability to explain complex technical concepts clearly and collaborate effectively with cross-functional teams.Startup Mindset: Enthusiasm for fast-paced environments, comfort with ambiguity, and a desire to build products that millions of people will use.Why Join Us?Dual Impact: Contribute to cutting-edge AI research while seeing your work directly impact products used by real people.Resources: Access to substantial compute resources, large datasets, and the latest AI technologies to support your research.Autonomy: Freedom to pursue research directions aligned with our mission, with less bureaucracy than traditional research labs.Equity: Competitive compensation package with significant equity, aligning your success with the company's growth.Community: Work alongside world-class researchers, engineers, and designers who are passionate about advancing the field of AI.How to ApplyWe'd love to see what you've built. Please include your resume, links to your publications or GitHub repositories, and a brief research statement outlining your interests and how they align with our mission.We can't wait to see your contributions to AI—and to welcome you to the AGI Inc. team!

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At Parallel Web Systems, we are bringing a new web to life: it’s built with, by, and for AIs. Our work spans innovations across crawling, indexing, ranking, retrieval, and reasoning systems. Our first product is a set of APIs for AIs to do more with web data. We are a fully in-person team based in Palo Alto, CA. Our organization is flat; our team is small and talent dense.We want to talk to you if you are someone who can bring us closer to living our aspirational values:Own customer impact - It’s on us to ensure real-world outcomes for our customers.Obsess over craft - Perfect every detail because quality compounds.Accelerate change - Ship fast, adapt faster, and move frontier ideas into production.Create win-wins - Creatively turn trade-offs into upside.Make high-conviction bets - Try and fail. But succeed an unfair amount.Job: You will build and maintain our backend that already handles millions of custom requests daily, and ensure that it’s reliable, performant and exceeds expectations for our customers as we scale. You will also be a steward of our API and ensure that it’s developer-friendly and easy to integrate with.You: Have deep intuition on distributed systems, databases, maintainable code design, and API design. You like to reason about trade-offs between speed, scalability, and developer ergonomics. You care about your work powering products and systems that millions rely on, and about APIs that developers love to use.Our founder is Parag Agrawal. Previously, he was the CEO and CTO at Twitter. Our investors include First Round Capital, Index Ventures, Khosla Ventures, and many others.

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About DecagonDecagon is the leading conversational AI platform empowering every brand to deliver concierge customer experience. Our AI agents provide intelligent, human-like responses across chat, email, and voice, resolving millions of customer inquiries across every language and at any time.Since coming out of stealth, Decagon has experienced rapid growth. We partner with industry leaders like Hertz, Eventbrite, Duolingo, Oura, Bilt, Curology, and Samsara to redefine customer experience at scale. We've raised over $200M from Bain Capital Ventures, Accel, a16z, BOND Capital, A*, Elad Gil, and notable angels such as the founders of Box, Airtable, Rippling, Okta, Lattice, and Klaviyo.We’re an in-office company, driven by a shared commitment to excellence and velocity. Our values—customers are everything, relentless momentum, winner’s mindset, and stronger together—shape how we work and grow as a team.About the TeamOver the past few years, development of LLMs has evolved at a rapid pace. It’s not enough for our customers to just “set it and forget it” when it comes to AI software. Truly successful AI Agents require guidance and input throughout the development lifecycle.The Agent Product Management team drives this journey as Decagon’s in-house experts on building, deploying, and scaling AI agents. Agent PMs work directly with customers to bring their AI agents to life, and then grow each Agent into a core part of each company’s businesses. As one of our early APM’s, you will deploy our technology into some of the world’s most influential businesses, driving real world business impact as one part Product Manager, one part AI expert.The APM owns each step in the AI Agent build lifecycle. This can include:Collaborating with engineering to design a new product featureWriting and testing prompt logic for a specific customer use caseWorking with a customer’s executive team to define their AI roadmapYou’ll partner closely with every team at Decagon: Go-To-Market, Design, Engineering, and across our leadership team. You will own and drive your customer builds and help shape the overall product roadmap by being the voice of the customer.About the RoleWe’re looking for a Strategic APM that thrives in a highly autonomous environment. You’re product-minded, scrappy, can drive highly complex projects across cross-functional teams, and are comfortable building relationships with some of the largest brands in the world.Given their size, these strategic accounts often present the challenge of complexity, requiring the navigation of customer stakeholders across org charts. A successful Strat APM will be able to navigate this complexity seamlessly and develop deep, trusted relationships with key stakeholders at all levels of the customer organization (comfortable speaking to CX leaders, Product Leaders, and Operations Leaders).APMs at Decagon own their own portfolio of agents from end-to-end and are trusted to make real impact. You’ll have the opportunity to dive deep into complex business problems, build elegant solutions and then scale them out to millions users, all while being part of the founding Strat APM team. This role is ideal for future founders, general managers, and business unit leaders.In this role, you willBuild, Design and optimize Enterprise-quality AI agents in collaboration with Decagon’s most strategic customers — understanding their workflows, pain points, and goals.Embed deeply within strategic customers to understand their business challenges and serve as a strategic advisor to their AI roadmapRun tight feedback loops into Engineering — influence feature development based on real customer needs.Represent Decagon externally — working closely with customers and prospects, participating in key deployments.Collaborate closely with Decagon’s C-suite and other executives to continue building the playbook for strategic logos for DecagonYour background looks something like thisHave 8+ years of relevant experience. This includes but is not limited to:Senior manager or equivalent at a top-tier consulting or other professional services firmPartner at an investing firmSenior product leader or group product managerDeep technical acumen — able to understand and shape AI agent designs.Strong communication and relationship-building skills.Comfort working in fast-moving, ambiguous environments where you shape solutions as much as you implement them.Even betterA Computer Science, Engineering, or Math degree — or equivalent technical experience.An MBABenefitsMedical, dental, and vision benefitsTake what you need vacation policyDaily lunches, dinners and snacks in the office to keep you at your bestCompensation$240K – $285K + Offers Equity

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Who are we?Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI.We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what’s best for our customers.Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products.Join us on our mission and shape the future!Why this role?In this role as a Solutions Architect at Cohere, you will play a significant role in growing Cohere’s business and have a great deal of autonomy when it comes to technical pre-sales and post-sales.Responsibilities include developing a deep understanding of customer problems, mapping them to Cohere solutions, and working closely with our partners as the trusted technical advisor who owns the technical relationship with our stakeholders. By leveraging your expertise, you will help to increase the adoption of Cohere products, both internally and externally, and will gather valuable insights and feedback from customers to help shape the future of our products.In this dynamic role, you will need to be both a strategic thinker and a hands-on doer. You will take a hands-on approach to building customer Proof of Concepts that showcase the business value of our platform. As the technical relationship owner, you will collaborate with stakeholders to understand their business objectives and translate those into technical solutions. You will take ownership of the customer narrative, serving as the voice of the customer and acting as a liaison between the customer and our product team. Additionally, you will provide guidance on best practices for using Cohere, identify areas for improvement within the platform, and cultivate technical champions within customer organizations to drive adoption and gather feedback to enhance our products.A typical day at Cohere might include:Leading the technical talk track on customer calls.Deep dives on customer problems and Cohere technology.Designing novel enterprise solutions with bleeding-edge NLP technology.Facilitating customer evaluations and PoC’s.Developing and documenting processes to enable the solutions architect team to scale effectively within Cohere.Collaborating with the Product and Engineering teams to ensure our offering matches the customers’ needs.Working closely with our partners to develop a strategy for enabling and accelerating their customers.This career opportunity is a good match for you if you have:5+ years of customer-facing technical pre/post sales Solutions Architect (or similar) experience.2+ years architecting or deploying NLP/AI/LLM Solutions.A passion for Generative AI, and an understanding of strengths and weaknesses of Generative LLM's and AI technologies.Comfortable working with Python and Jupyter Notebooks.Excellent communication skills - you can toggle seamlessly between presenting to CEOs, and getting in the weeds or white boarding with technical audiences.High tolerance for ambiguity.You can identify and implement high-impact processes in unstructured environments.Preferred: Experience managing Kubernetes clustersPreferred: Experience with networking (firewalls, DNS, cert management, etc)Preferred: Familiarity with authentication protocols/frameworks (SAML, OAuth, etc)If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! If you want to work really hard on a glorious mission with teammates that want the same thing, Cohere is the place for you.We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs.Full-Time Employees at Cohere enjoy these Perks:🤝 An open and inclusive culture and work environment 🧑‍💻 Work closely with a team on the cutting edge of AI research 🍽 Weekly lunch stipend, in-office lunches & snacks🦷 Full health and dental benefits, including a separate budget to take care of your mental health 🐣 100% Parental Leave top-up for 6 months for employees based in Canada, the US, and the UK🎨 Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement🏙 Remote-flexible, offices in Toronto, New York, San Francisco and London and co-working stipend✈️ 6 weeks of vacationNote: This post is co-authored by both Cohere humans and Cohere technology.

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Have a passion for AI, creativity, and pushing the boundaries of what’s possible? At Moonvalley, we’re always excited to meet talented people who share our vision. Even if you don’t see the perfect role listed right now, we encourage you to get in touch! We’ll keep your details on file and reach out when a suitable opportunity arises.About MoonvalleyMoonvalley is developing cutting-edge generative AI models designed to power Superbowl-worthy commercials and award-winning cinematic experiences. Our inaugural, cutting-edge HD model, Marey, is built on exclusively licensed and owned data for professional use in Hollywood and enterprise applications.Our team is an unprecedented convergence of talent across industries. Our elite AI scientists from DeepMind, OpenAI, and Meta, have decades of collective experience in machine learning and computational creativity. We have also established the first AI-enabled movie studio in Hollywood, filled with accomplished filmmakers and visionary creative talent. We work with the top producers, actors, and filmmakers in Hollywood as well as creative-driven global brands. So far we've raised over $70M from world-class investors including General Catalyst, Bessemer, Khosla Ventures & YCombinator – and we're just getting started. Who You’ll Work WithOur team brings together AI researchers, engineers, product thinkers, marketers, designers, and strategists. Whether you're building AI models, driving business growth, or shaping our brand, you'll collaborate with smart, ambitious people who value bold ideas and innovation.Our MissionWe’re shaping the future of creativity with AI tools that empower artists, creators, and businesses. From generative AI to digital storytelling, our work pushes boundaries and has a global impact.How We Work Innovation drives everything we do whether in AI, marketing, product, or operations. We encourage ownership, experimentation, and creative problem-solving in a fast-moving, collaborative environment.In our team, we approach our work with the dedication similar to Olympic athletes. Anticipate occasional late nights and weekends dedicated to our mission. We understand this level of commitment may not suit everyone, and we openly communicate this expectation.If you're motivated by deeply technical problems, a seemingly never-ending uphill battle and the opportunity to build (and own) a generational technology company, we can give you what you're looking for.All business roles at Moonvalley are hybrid positions by default, with some fully remote depending on the job scope. We meet a few times every year, usually in London, UK or North America (LA, Toronto) as a company.If you're excited about the opportunity to work on cutting-edge AI technology and help shape the future of media and entertainment, we encourage you to apply. We look forward to hearing from you!The statements contained in this job description reflect general details as necessary to describe the principal functions of this job, the level of knowledge and skill typically required and the scope of responsibility. It should not be considered an all-inclusive listing of work requirements. Individuals may perform other duties as assigned, including work in other functional areas to cover absences, to equalize peak work periods, or to otherwise balance organizational workMoonvalley AI is proud to be an equal opportunity employer. We are committed to providing accommodations. If you require accommodation, we will work with you to meet your needs.Please be assured we'll treat any information you share with us with the utmost care, only use your information for recruitment purposes and will never sell it to other companies for marketing purposes. Please review our privacy policy and job applicant privacy policy located here for further information.

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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! Solutions Engineers @ IroncladSolution Engineers (SEs) are Ironclad Sales Team’s pre-sale technical experts. SEs collaborate closely with prospects and Ironclad’s Sales, Implementation, and Product teams, forming a critical technical overlay to the sales and solution evaluation.At Ironclad, SEs are creative, value-driven technology experts that love to engage with people. They drive sales through clear communication focusing on customer use cases, technology infrastructure, and solution design. With a comprehensive understanding of Ironclad’s platform, SEs empower prospects to understand how Ironclad can work for them.SEs also help Ironclad improve our platform: the best SEs help capture the most challenging technical requirements observed in the market and translate them into actionable insights for Ironclad’s Product team to develop.Requirements, you must be:Mission-oriented: You’re excited to work on a team that operates at the intersection of human talent and software; you want to put that passion to work in an industry that still skews heavily towards human/manual work. You want to work at a place where you can have an outsized impact.Exceptional communicator: You’re a strong verbal communicator, able to capture an audience with clear and confident language. You can understand and empathize with people even if you have limited subject-matter knowledge of their area of expertise.Technically proficient: You’re an expert at technical configuration and familiar with or have an appetite for learning programming languages such as JSON, HTML and, ideally, JavaScript or similar languages. You recognize that your ability and willingness to develop these skills is an important part of what makes SEs successful in their role as Ironclad’s prospect-facing solution experts.Creative problem solver: You listen well and understand customers' needs. You think outside the box to solve their challenges and deliver a solution that will drive value for the customer.Team player: You can work effectively in teams of technical and non-technical individuals. You are energized by collaborating with diverse teams.Independent: You can learn and drive outcomes with minimal supervision. You have a bias toward action and gravitate towards environments where you have an outsized influence on the success of outcomes for customers and colleagues. You are exceptionally good at making trade-offs based on incomplete data.Experience: 3+ years of Solution Engineering experience. Experience in AI and LLM-based applications.Responsibilities:Listen to prospects' needs and goals. Listening is our #1 strength.Design, build and present custom demonstrations of the Ironclad platform using a prospect’s own contracts and workflows.Build strong relationships with prospects to help Ironclad’s most important and strategic prospects evaluate and ultimately select Ironclad.Collaborate with Account Executives and other internal partners to progress an evaluation forward smoothly.Bring actionable insights back to Ironclad’s Product Team to help us evolve our core product.Partner with your aligned Sales Leader to support pipeline generating activities and overall team success Benefits:Health, dental, and vision insurance401kWellness reimbursementTake what you need vacation policyGenerous parental leave for both primary and secondary caregiversOTE Range: $160,000 - $190,000The OTE range represents the minimum and maximum of the OTE range for this position based at our San Francisco headquarters. The OTE offered for this position will depend on numerous factors, including individual proficiency, anticipated performance, and the location of the selected candidate. Our OTE 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.Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

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At Parallel Web Systems, we are bringing a new web to life: it’s built with, by, and for AIs. Our work spans innovations across crawling, indexing, ranking, retrieval, and reasoning systems. Our first product is a set of APIs for AIs to do more with web data. We are a fully in-person team based in Palo Alto, CA. Our organization is flat; our team is small and talent dense.We want to talk to you if you are someone who can bring us closer to living our aspirational values:Own customer impact - It’s on us to ensure real-world outcomes for our customers.Obsess over craft - Perfect every detail because quality compounds.Accelerate change - Ship fast, adapt faster, and move frontier ideas into production.Create win-wins - Creatively turn trade-offs into upside.Make high-conviction bets - Try and fail. But succeed an unfair amount.Job: You will design, build, and refine the product experience that serves as the best showcase of what our powerful APIs are capable of. You will build the developer API playground that developers love to use. You will ensure our front-end is fast, reliable, and delightful to use, while maintaining a codebase that’s scalable and easy to evolve.You: Are an expert at modern front-end frameworks, maintainable UI architecture, and building UIs that feel fast and snappy. You care about your work feeling seamless and intuitive to users, and about building interfaces that have the highest level of polish.Our founder is Parag Agrawal. Previously, he was the CEO and CTO at Twitter. Our investors include First Round Capital, Index Ventures, Khosla Ventures, and many others.

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Why HarveyHarvey is a secure AI platform for legal and professional services that augments productivity and automates complex workflows. Harvey uses algorithms with reasoning-adept LLMs that have been customized and developed by our expert team of lawyers, engineers and research scientists. We’ve found product market fit and are scaling our team very quickly. Some reasons to join Harvey are:Exceptional product market fit: We have partnered with the largest law firms and professional service providers in the world, including Paul Weiss, A&O Shearman, Ashurst, O'Melveny & Myers, PwC, KKR, and many others.Strategic investors: Raised over $500 million from strategic investors including Sequoia, Google Ventures, Kleiner Perkins, and OpenAI.World-class team: Harvey is hiring the best talent from DeepMind, Google Brain, Stripe, FAIR, Tesla Autopilot, Glean, Superhuman, Figma, and more.Partnerships: Our engineers and researchers work directly with OpenAI to build the future of generative AI and redefine professional services.Performance: 4x ARR in 2024.Competitive compensation.Role OverviewAs a Customer Success Manager, LATAM you’ll play a critical role in guiding our LATAM clients through their journey with Harvey, and help define the future of work at both law firms and in-house teams. This position is pivotal in ensuring our clients not only adopt but also derive maximum value from our technology. You'll act as a trusted advisor, deeply integrating Harvey into their business processes and workflows. This individual will also have a chance to design and deploy scalable 1:many solutions that will impact how we serve our broad mid-market customer base in a highly efficient manner at scale.What You'll DoStrategic Implementation: Lead the integration of Harvey into client workflows, ensuring seamless adoption and optimal use of our AI solutions.Training & Enablement: Evangelize the power of LLMs as you meet with and enable end users to adopt Harvey on a daily-basis as it becomes a “must have” product.Client Relationship Management: Serve as the primary contact for 40+ mid-market LATAM clients with a prescriptive and consultative approach and delivering a superior customer experience.Process Creation: Drive scalability in the way we operate through documentation, designing playbooks, self-help materials, email cadences, and automation to ensure we drive efficiency in our long term mid-market strategy.Success Metrics Management: Utilize adoption rates, benchmarks, and other key metrics to drive strategies ensuring client satisfaction and high ROI.Advocacy and Engagement: Encourage user and stakeholder engagement, transforming them into Harvey advocates within their organizations.Customer Health Monitoring: Use analytics and feedback to maintain customer satisfaction, ensuring readiness for renewal and expansion opportunities.Feedback Loop: Relay client insights back to our internal teams, aiding in the continuous improvement of our product and services.What You HaveSpanish and English proficiencyExperienced professionals from legal firms or SaaS organizations, with direct experience managing a high volume of client cases and/or customers.Individuals with excellent communication and strategic planning skills, capable of influencing stakeholders at various levels.Results driven candidates who are able to ruthlessly prioritize competing tasks and demanding customers seamlessly.Team players described as empathetic, committed, structured, motivated, and collaborative with a team-first mentality.Experience with Salesforce and Catalyst, are preferred, but not required.What We OfferA chance to be at the forefront of AI technology and innovation, directly impacting how our clients' businesses operate and thrive.An opportunity to contribute to the growth and direction of our Customer Success program, building out best-in-class playbooks and processes.A collaborative work environment that promotes growth, learning, and development.Compensation Range$125,000 - $145,000 OTEHarvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing interview-help@harvey.ai.

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Why Casca?Casca is building AGI for banking. We’re replacing decades-old legacy systems with AI-native technology that automates 90% of the manual work humans once had to do. Role OverviewWe're seeking a Senior Software Engineer to spearhead our Core Platform function. In this high-leverage role, you'll design and scale the foundational systems that power our AI-driven lending platform. You'll build scalable, secure, and reliable infrastructure that handles sensitive financial data, integrates AI models for loan processing, and supports high-availability deployments across cloud environments. You thrive on cross-functional collaboration with engineering, product, and compliance teams to deliver velocity, reliability, and compliance in a competitive fintech landscape.What you'll do:Architect and enhance platform features including authentication, auditability, and enterprise integrations across the banking ecosystem.Build and maintain high-performance, developer-friendly infrastructure using containerization (Docker), orchestration (Kubernetes, Helm), and cloud-native services across AWS, Azure, and GCP.Improve reliability, scalability, and compliance for platform services like permissions management, admin reporting, and customizationsDevelop and optimize infrastructure as code (AWS CDK, Terraform) and CI/CD pipelines to automate deployments, ensuring high availability, disaster recovery, and efficient resource utilization.Collaborate with AI engineers to benchmark & integrate models into the core platform.Mentor junior engineers, conduct code reviews, and contribute to best practices for building systems that handle high-volume, mission-critical financial workflows.Create and maintain comprehensive documentation for architecture, runbooks, and operational procedures.Stay ahead of emerging technologies in cloud-native, fintech, and AI infrastructure to drive innovation in our platform.What you'll bring:Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent experience)5+ years of software development experience, particularly in scalable backend and infrastructure systems (e.g., Rust, Node.js, Python, or Go), and modern deployment technologies like Docker, Kubernetes, and Helm.Strong experience with major cloud platforms (AWS, Azure, GCP) and their managed services for compute, storage, and networking.Proficiency in infrastructure as code tools (e.g., AWS CDK, Terraform, Pulumi) and CI/CD automation (e.g., GitHub Actions, Jenkins).Experience with building observability tooling including metrics collection, distributed tracing, logging systems, and monitoring dashboards.Experience with enterprise software features like permissions (RBAC), analytics, audit logs, notifications, self-serve onboarding, and provisioning.Proven ability to mentor and guide technical teams.What you'll get: Impact & Ownership: A unique opportunity to shape the future of banking through AI, owning end-to-end product initiatives.Collaborative Environment: Work alongside a talented and passionate team that values continuous improvement and knowledge sharing.Competitive Compensation: Includes salary, benefits, and potential equity in a fast-growing startup.Professional Growth: Access to resources and mentorship to expand your skill set, influence strategy, and accelerate your career.Culture of Innovation: We encourage risk-taking, learning from failures, and pushing the boundaries of what’s possible in fintech.As an early-stage company building at the frontier of AI, we work with high intensity and commitment. While schedules can vary by role/team, many weeks will demand extra focus, flexibility and time particularly during major launches and high impact sprints. We're seeking those who are aligned to and able to commit to that expectation which includes 5 days per week in our San Francisco Office.

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About UsConsole is an AI platform that automates IT and internal support. We help companies scale without scaling headcount, and give employees instant resolution to their issues. Our agents understand the full context of the organization, handle requests end-to-end and pull in humans only when necessary.Today, companies like Ramp, Scale, Webflow, and Flock Safety rely on Console to automate over half of their IT & HR requests. We've won every bake-off against our competitors, closed every trial customer and expect to 10x usage by year-end.We're a small, talent-dense team: naturally curious, high-agency and low-ego. Our organization is very flat and ideas win on merit, not hierarchy. We're hiring exceptional people to keep up with demand. We're backed by Thrive Capital and world-class angels.About the roleAs an Applied AI Engineer at Console, you’ll work on the core agent loop and the many AI flows that make our product feel like magic. You will work closely with the product team and leadership to ship experiences which delight users and "just work".Some examples of work you might do:Building a copilot agent that human agents can delegate work to and get 10x more doneArchitecting product flows that collect user feedback and feed into online evals for rapid iterationLearning from unresolved tickets and suggesting new automations to customers automaticallyYou'll have room to be creative, own projects end-to-end, and shape both the platform and the product vision.This role is based in San Francisco, CA. We work in-person and offer relocation assistance to new employees.About youYou're a product builder with strong generalist technical skills, and you know how to maximize your impact to deliver great experiences for users and customersYou have great taste; you understand that the best AI experiences feel great to use and you care deeply about getting the details rightYou carefully study data to discover qualitative insights from individual traces and can build quantitative systems to evaluate performance at scaleYou're immersed in the world of frontier AI and constantly learning about effective AI architectureYou've worked on AI systems with real usage and know how to iterate effectively on production agentsRequirements4+ years of full-time software engineering experience, with a recent focus on applied AI product engineeringComfortable working and contributing across the entire stack (Typescript/Node/React)Obsessed with building incredible product experiences for users, and never happy with "good enough"Why join Console?Product-market fit: We have built the leading product in our category, in a massive market. We've hit an inflection point and are on track to build a generational company. World-class team: We seek high agency contributors who are comfortable navigating ambiguity, ruthlessly prioritize what matters and are action-biased.Grow with us: We reward impact, not credentials or years of experience. We intend to grow talent from within as we scale up.Competitive pay and benefits: top compensation with full benefits including:Equity with early exercise & QSBS eligibilityComprehensive health, dental, and vision insuranceUnlimited PTO401(k)Meals provided daily in office

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About UsConsole is an AI platform that automates IT and internal support. We help companies scale without scaling headcount, and give employees instant resolution to their issues. Our agents understand the full context of the organization, handle requests end-to-end and pull in humans only when necessary.Today, companies like Ramp, Scale, Webflow, and Flock Safety rely on Console to automate over half of their IT & HR requests. We've won every bake-off against our competitors, closed every trial customer and expect to 10x usage by year-end.We're a small, talent-dense team: naturally curious, high-agency and low-ego. Our organization is very flat and ideas win on merit, not hierarchy. We're hiring exceptional people to keep up with demand. We're backed by Thrive Capital and world-class angels.About the roleAs a Forward Deployed Engineer at Console, you’ll be responsible for making customers successful with the product. You'll work with sales, product, engineering, and directly with leadership to understand and solve customer requests, and help fold the learnings back into the core product.Some examples of work you might do:Help a front-line support agent integrate Console to automate a workflow they've been forced to solve manually for yearsBuild AI tooling to analyze tickets and surface insights to prospective customers on where they can increase automationDrive product decision making that turns your customer insights into platform valueYou'll have room to be creative, work autonomously with customers, and shape both the platform and the product vision.This role is based in San Francisco, CA. We work in-person and offer relocation assistance to new employees.About youYou're a fast learner with high-aptitude and strong generalist intuitions that you can transfer across domainsYou're technical and can think through technical problems; you've built things from scratch and like to understand how systems work under the hoodYou enjoy working with people and feel a sense of personal responsibility to customers and teammates who rely on youYou aspire to be a founder and you want to learn as much as you can, as fast as you can, across multiple domainsRequirements2+ years of full-time experience working in a technical role or as a software engineerHands-on experience working across multiple functions or domainsObsessed with building incredible product experiences for users, and never happy with "good enough"Why join Console?Product-market fit: We have built the leading product in our category, in a massive market. We've hit an inflection point and are on track to build a generational company. World-class team: We seek high agency contributors who are comfortable navigating ambiguity, ruthlessly prioritize what matters and are action-biased.Grow with us: We reward impact, not credentials or years of experience. We intend to grow talent from within as we scale up.Competitive pay and benefits: top compensation with full benefits including:Equity with early exercise & QSBS eligibilityComprehensive health, dental, and vision insuranceUnlimited PTO401(k)Meals provided daily in office