AI Software Engineer Jobs

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About BasisBasis equips accountants with a team of AI agents to take on real workflows.We have hit product-market fit, have more demand than we can meet, and just raised $34m to scale at a speed that meets this moment.Built in New York City. Read more about Basis here.About the TeamWe build the agentic ML systems that power Basis’s AI Accountant—so it can read documents, reason over context, and complete real accounting workflows safely and accurately.We’re practitioners of the new AI paradigm: rather than just tuning a model, we optimize the system around it—tools, memory, retrieval, orchestration, and evaluation. We push model providers to their limits when necessary (custom runtimes, bigger containers, nonstandard packages) and run the experiments required to learn quickly.We work from first principles with tight loops alongside Research, Product, Platform, and Accounting SMEs. We think in systems and care deeply about observability, clear abstractions, and code that’s easy to reason about in production.About the RoleAs an Engineering Leader on the ML Systems team, you’ll be responsible for achieving company-level outcomes through the people and systems you build. Your job is to make the team successful—to deliver ambitious technical goals while fostering an environment where exceptional engineers can do their best work.You’ll operate across research and production, experiment and impact—bridging strategy and execution. You’ll make hard trade-offs explicit, design frameworks for fast iteration, and ensure that the entire team learns faster than the problems evolve.This is a hands-on leadership role: you’ll drive technical direction, architect systems, and review critical code—but your real leverage will come from clarity, conviction, and how effectively you grow others.What you’ll be doing:1. Build and lead the applied-ML organizationHire and grow a world-class team of ML and systems engineers; set crisp goals and coach continuous development.Foster a culture of rigor, iteration, and shared learning—where people move fast and stay grounded in reality.Establish clear processes for experimentation, evaluation, and delivery; make success criteria objective and comparable.Be a source of clarity and calm when things are ambiguous or hard.2. Drive ML systems strategy and executionDefine and evolve our multi-agent architecture: autonomy boundaries, orchestration logic, context management, and safety layers.Own evaluation infrastructure—offline, online, and hybrid—that lets us ship models with confidence and traceability.Integrate retrieval, memory, and context management into production-grade agent loops; ensure stability under real workloads.Align closely with Research, Product, and Platform to translate insights into production systems with measurable impact.3. Elevate the craftInsist on clean abstractions, legible systems, and deep observability; make complexity visible and manageable.Set and uphold high standards for experimentation, documentation, and decision quality.Continuously improve team processes—reviews, onboarding, retros, performance cycles—to compound speed and quality.Coach engineers not just to build better models, but to think better about systems. 📍 Location: NYC, Flatiron office. In-person team.What We’d Love to SeeThink in systems—models, people, organizations—and can operate across all three.Care about clarity and iteration more than flash; you ship, learn, and refine relentlessly.Have conviction in your decisions but stay open to being wrong.Are driven by both technical excellence and the growth of those around you.See ambiguity as an invitation to lead.What Success looks like in this roleProcess-oriented: Skilled at breaking down complex problems into clear, repeatable steps and managing execution.Strong communicator: Clear in explaining concepts and comfortable collaborating across all levels of seniority.First-principles reasoner: Question assumptions and apply lessons creatively to new situations.Company-builder: Eager to lay groundwork both technically and culturally as we rapidly scale.Office lover: Prefers face-to-face interactions in our NYC office.All-in: Driven to seize a massive opportunity, accelerate growth, and commit deeply to Basis’s success. In accordance with New York State regulations, the salary range for this position is $100,000 –$300,000. This range represents our broad compensation philosophy and covers various responsibility and experience levels. Additionally, all employees are eligible to participate in our equity plan and benefits program. We are committed to meritocratic and competitive compensation.

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What We Do Gecko Robotics is helping the world’s most important organizations ensure the availability, reliability, and sustainability of critical infrastructure. Gecko's complete and connected solutions combine wall-climbing robots, industry-leading sensors, and an AI-powered data platform to provide customers with a unique window into the current and future health of their physical assets. This enables real-time decision making to increase the efficiency and safety of operations, promote mission readiness, and protect the environment and civilization from the effects of infrastructure failure.Role OverviewThis is not your typical product manager role.As a Product Strategist at Gecko, you won’t be handed a roadmap—you’ll be building it. You’ll operate at the frontier of customer need and product possibility: developing new solutions for high-stakes environments while shaping the direction of our core software platform, Cantilever.We’re looking for strategic builders—technical product minds with a bias toward action and a deep sense of ownership. You’ll be embedded in the field with our customers and engineers, making bets, validating hypotheses, and helping Gecko scale from bespoke deployments to a robust, extensible platform.This is a rare opportunity to shape product strategy from the ground up, working at the heart of one of the world’s most ambitious efforts to modernize critical infrastructure.What You Will DoOwn Problems, Not Just Features: Identify high-leverage customer problems and lead the charge to solve them—start to finish.Set Strategy, Not Just Priorities: Craft and test product theses that inform Gecko’s long-term platform evolution.Champion User Experience: Incorporate UI/UX insights into product direction to ensure solutions are not only technically sound but also intuitive and impactful for end users.Build What Scales: Deliver immediate value to customers while extracting insights that shape scalable, repeatable product solutions.Operate Close to the Field: Work alongside Forward Deployed Engineers to understand use cases in depth—and move quickly to unlock value.Bridge Product and Business: Translate technical solutions into outcomes that matter for customers and for Gecko’s mission.Navigate Ambiguity: Thrive in environments without a playbook. You’ll help write it.About You4-7 years of experience in technical product management, preferably in an enterprise software, B2B SaaS, or platform environment.Backgrounds in product strategy, consulting, engineering, or founder/operator roles tend to thrive in this position.Strong systems thinking—you can break down messy problems, spot the patterns, and architect elegant solutions.You’re comfortable in the field—on-site with users, in the weeds with engineers, or in the boardroom with stakeholders.Able to operate autonomously, make high-quality decisions with imperfect info, and adapt quickly as reality changes.Comfortable with data—whether it’s Excel, SQL, or something custom.Motivated by real-world impact and mission-driven work.Bonus Points If You HaveBackground in infrastructure, energy, defense, or robotics.Experience launching 0→1 products or building within ambiguous, complex domains.An engineering background or the ability to write code—enough to engage deeply with technical teams and shape product direction with confidenceHands-on collaboration experience with designers or exposure to UI/UX research practices.Who We AreAt Gecko, our people are our greatest investment. In addition to competitive compensation packages, we offer company equity, 401(k) matching, gender-neutral parental leave, full medical, dental, and vision insurance, mental health and wellness support, ongoing professional development, family planning assistance, and flexible paid time off. Gecko values collaboration, innovation, and partnership, and we believe we do our best work when we're together in person. We’re an office-first culture but understand that sometimes you may need to work from home. Many people are in the office five days a week, others need a bit more flexibility. Ultimately, we care about the outcomes we achieve - and creating a culture of autonomy and trust that enables that impact.Gecko is committed to creating a culture of inclusion and belonging, and we are proud to be an equal opportunity employer.  We believe it is our collective responsibility to uphold these values and encourage candidates from all backgrounds to join us in our mission to protect today’s infrastructure and give form to tomorrow’s. All qualified applicants will be treated with respect and receive equal consideration for employment without regard to race, color, creed, religion, sex, gender identity, sexual orientation, national origin, disability, uniform service, veteran status, age, or any other protected characteristic per federal, state, or local law. If you are passionate about what you do and want to use your talents to support our critical mission, we’d love to hear from you.

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Business runs on contracts. Every dollar earned, relationship formed, and advantage gained comes down to the contract that makes it real. But getting a contract done is more complicated than it should be. And when contract data is buried, leaders can’t see risks, obligations, or act in time.Ironclad is the leading AI contracting platform that transforms agreements into assets. Contracts move faster, insights surface instantly, and agents push work forward, all with you in control. Whether you’re buying or selling, Ironclad unifies the entire process on one intelligent platform, providing leaders with the visibility they need to stay one step ahead. That’s why the world’s most transformative organizations, from OpenAI to the World Health Organization and the Associated Press, trust Ironclad to accelerate their business. We’re consistently recognized as a leader in the industry: a Leader in the Forrester Wave and Gartner Magic Quadrant for Contract Lifecycle Management, a Fortune Great Place to Work six years running, and one of Fast Company’s Most Innovative Workplaces. Ironclad has also been named to Forbes’ AI 50 and Business Insider’s list of Companies to Bet Your Career On. We’re backed by leading investors including Accel, Y Combinator, Sequoia, BOND, and Franklin Templeton. For more information, visit www.ironcladapp.com or follow us on LinkedIn. This is a hybrid role based out of our London office. 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. Candidates must have the unrestricted right to work in the United Kingdom. Solutions Engineering at 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’re energetic, while able to 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 and you recognize that a willingness to develop technical skills is an important part of what makes SEs successful in their role as solution experts.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 customers and colleagues. You are exceptionally good at making trade-offs based on incomplete data.Experience: 5+ years of Enterprise Solution Engineering experienceResponsibilities:Listen to prospects' needs and goals. Listening is our #1 strength.Design, build and deliver executive level custom presentations and 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.Work alongside our enterprise architecture team and business value engineers to build cases which support a prospect’s evaluation.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:Private Medical & Dental insurance, covered at 100% for you and dependents Life assurance and Income ProtectionGenerous leave policies, including parental leave, medical leave and compassionate leaveFamily-forming support through Maven for you and your partnerMonthly stipends for wellbeing, hybrid work, and (if applicable) phone useOne-time home office setup stipendStandard pension contribution schemeRegular team events to connect, recharge, and have funAnd most importantly: the opportunity to help build the company you want to work atPursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

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

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About Us  Observe.AI is the leading AI agent platform for customer experience. It enables enterprises to deploy AI agents that automate customer interactions, delivering natural conversations for customers with predictable outcomes for the business. Observe.AI combines advanced speech understanding, workflow automation, and enterprise-grade governance to execute end-to-end workflows with AI agents. It also enables teams to guide and augment human agents with AI copilots, and analyze 100% of human and AI interactions for insights, coaching, and quality management. Companies like DoorDash, Affordable Care, Signify Health, and Verida use Observe.AI to transform customer experiences every day by accelerating service speed, increasing operational efficiency, and strengthening customer loyalty across every channel. Why Join us Are you ready to shape the future of the industry-leading Gen AI Conversation Intelligence Platform for Contact Centers? The Observe.ai Product Design Team is dedicated to crafting intuitive, impactful, and scalable experiences that empower users across our platform. We drive innovation by blending deep product sense, rigorous research, and exceptional craft, ensuring our designs align with both user needs and business objectives. Our team operates across multiple levels, from early-career designers refining their skills to seasoned leaders shaping the long-term vision of Observe’s product experience. We prioritise collaboration, mentorship, and a strong design culture, fostering a space where creativity thrives and design excellence sets new industry standards. As a design organization, we don't just build interfaces—we influence strategy, improve workflows, and elevate the entire product ecosystem through thoughtful, user-centered solutions.As a Senior Product Designer at Observe.ai, you will play a key role in shaping the user experience and interface of our products.  To be considered for this role, please submit your resume and portfolio via our career portal or Linkedin. Please provide your portfolio’s password if needed. We’d especially like to see clear problem definition based on research, creativity process on solutioning, strong rationale of design decision making, and polished Ui & interaction designs that solves the defined problems. What you’ll be doing  Lead Design Solutions: Own and execute design projects that span multiple product areas, creating scalable and flexible design systems. Product Vision & Strategy: Refine and improve the long-term direction of our products, working independently or with partners to define strategic design goals. User Research & Data-Informed Design: Use qualitative and quantitative insights to inform design decisions, ensuring our solutions effectively address user needs. Visual & Interaction Design Excellence: Deliver high-quality, visually polished, and highly usable designs, considering accessibility, responsiveness, and edge cases. Design Systems Contribution: Help evolve our design systems, improving consistency and efficiency across Observe.ai’s platform. Cross-Functional Collaboration: Work closely with product managers, engineers, and other stakeholders to ensure seamless execution from concept to implementation. Mentorship & Leadership: Provide guidance to junior designers, sharing knowledge and fostering a culture of design excellence. What you’ll bring to the role  7- 9+ years of experience in UX/UI or Product Design, with a strong portfolio showcasing impactful design work. Large Language Model powered products such as Chatbot and Voicebot Contact Center Industry domain knowledge Expertise in user-centered design, interaction design, and usability best practices. Experience working with design systems and contributing to scalable UI frameworks. Ability to translate complex problems into simple and elegant solutions with a deep understanding of information architecture and workflow design. Strong storytelling and communication skills, capable of presenting design rationale and influencing stakeholders at all levels. Experience conducting user research and data analysis to drive product improvements. A proactive mindset with the ability to drive projects independently and collaborate effectively with teams. Compensation, Benefits, And Perks Excellent medical insurance options and free online doctor consultations Yearly privilege and sick leaves as per Karnataka S&E Act Generous holidays (National and Festive) recognition and parental leave policies Learning & Development fund to support your continuous learning journey and professional development Fun events to build culture across the organization Flexible benefit plans for tax exemptions (i.e. Meal card, PF, etc.) Our Commitment to Inclusion and Belonging Observe.AI is an Equal Employment Opportunity employer that proudly pursues and hires a diverse workforce. Observe AI does not make hiring or employment decisions on the basis of race, color, religion or religious belief, ethnic or national origin, nationality, sex, gender, gender identity, sexual orientation, disability, age, military or veteran status, or any other basis protected by applicable local, state, or federal laws or prohibited by Company policy. Observe.AI also strives for a healthy and safe workplace and strictly prohibits harassment of any kind. We welcome all people. We celebrate diversity of all kinds and are committed to creating an inclusive culture built on a foundation of respect for all individuals. We seek to hire, develop, and retain talented people from all backgrounds. Individuals from non-traditional backgrounds, historically marginalized or underrepresented groups are strongly encouraged to apply. If you are ambitious, make an impact wherever you go, and you're ready to shape the future of Observe.AI, we encourage you to apply. For more information, visit www.observe.ai.

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About Mistral At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life. We democratize AI through high-performance, optimized, open-source and cutting-edge models, products and solutions. Our comprehensive AI platform is designed to meet enterprise needs, whether on-premises or in cloud environments. Our offerings include le Chat, the AI assistant for life and work. We are a dynamic, collaborative team passionate about AI and its potential to transform society.Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between France, USA, UK, Germany and Singapore. We are creative, low-ego and team-spirited.Join us to be part of a pioneering company shaping the future of AI. Together, we can make a meaningful impact. See more about our culture on https://mistral.ai/careers. About the Role As an Applied AI, Prototyping & Automations Engineer, you’ll be at the heart of Mistral AI’s internal innovation. You’ll design, build, and deploy AI-powered applications and automation systems that enhance our products and streamline internal workflows. This role is for builders, hackers, and problem-solvers who want to bridge the gap between AI research, engineering, and real-world impact, who like interacting daily with product users. In this role, you’ll manage daily relations involving multiple stakeholders (corporate, research, product, business, HR) from all around the world. What You’ll Do - Design, develop, and maintain scalable web applications and internal tools using- Design and implement automated workflows, internal tools, and AI-driven processes to improve efficiency and reduce manual effort.- Build and integrate AI models (LLMs, RAG, agents) into full-stack applications, ensuring they are performant, scalable, and user-friendly.- Work closely with AI researchers, product teams, corporate teams and customers to translate users requirements into technical solutions.- Contribute to open-source projects and internal tooling to enhance Mistral’s AI platform. About You- You are fluent in English.- You have between 0-5y of experience- You have experience with LLMs, fine-tuning, RAG, or agentic systems (e.g., LangChain, Hugging Face, Mistral models)- You are proficient in Python- You are proficient in TypeScript, React/NextJS, NodeJS, and modern web frameworks.- You’re expert workflow automation tools (e.g., Zapier, n8n, Power Automate) and cloud platforms (AWS, GCP)- You hold strong communication skills with an ability to explain complex technical concepts in simple terms with technical and non-technical audiences- You have a problem-solving mindset and can tackle ambiguous challenges to deliver robust, scalable solutions.- You have strong collaboration skills and can explain technical concepts clearly to both technical and non-technical stakeholders.- You have a passion for innovation, exploring new technologies, and improving existing systems.

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About Mistral At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life. We democratize AI through high-performance, optimized, open-source and cutting-edge models, products, and solutions. Our comprehensive AI platform is designed to meet enterprise needs, whether on-premises or in cloud environments. Our offerings include le Chat, the AI assistant for life and work. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between France, USA, UK, Germany, and Singapore. We are creative, low-ego, and team-spirited. Join us to be part of a pioneering company shaping the future of AI. Together, we can make a meaningful impact. See more about our culture on mistral.ai/careers. About The Job: Technical Lead, Applied AI Mistral AI is seeking a Technical Lead, Applied AI to drive the technical strategy, execution, and delivery of complex AI solutions for our enterprise customers. In this role, you will lead a project teams of Applied AI Engineers, ensuring the successful deployment of Mistral AI products and the development of high-impact, scalable AI use cases. You will act as the primary technical point of contact for our most strategic customers, guiding them through the entire lifecycle—from pre-sales to post-implementation—while collaborating closely with research, product, and engineering teams to shape the future of our offerings. As a Technical Lead, you will bridge the gap between cutting-edge AI research and real-world enterprise applications, ensuring our solutions are robust, scalable, and aligned with both customer needs and Mistral’s technological vision. What you will do - Deliver as an IC the critical lines of codes of our complex projects, you’ll be hands-on and de-risk the critical parts of our complex projects. You’ll stay deeply involved in coding, reviewing, and optimizing AI solutions.- Lead technical teams of Applied AI Engineers, providing mentorship, technical guidance, and best practices for deploying state-of-the-art GenAI applications across industries.- Lead technical discussions during pre-sales, translating customer requirements into actionable solutions and communicating Mistral’s technological advantages to diverse stakeholders.- Design and oversee the implementation of complex AI systems, including fine-tuning, RAG, agentic workflows, and custom LLM applications, ensuring alignment with Mistral’s product roadmap and open-source initiatives.- Drive innovation by identifying emerging trends in AI, evaluating new tools and methodologies, and championing best practices for fine-tuning, inference, and deployment.- Work closely with product managers, researchers, and engineers to ensure seamless integration of customer feedback into Mistral’s product development cycle. About you- You are fluent in English.- You hold a PhD or Master’s degree in AI, Machine Learning, Computer Science, or a related field.- You have 7/8+ years of experience in AI/ML, with at least 2+ years in a technical leadership role (e.g., Tech Lead, Engineering Manager, or Solutions Architect) focused on AI products or enterprise solutions.- You have a proven track record of leading teams to deliver complex AI projects, from prototyping to production, in industries such as tech, finance, healthcare, or industrial automation.- You possess deep expertise in fine-tuning LLMs, advanced RAG, agentic systems, and deploying NLP applications at scale.- You are proficient in Python, PyTorch, and modern AI frameworks (e.g., LangChain, Hugging Face). Experience with cloud platforms (AWS, GCP, Azure) and MLOps tools is a plus.- You have strong software engineering skills, including API design, backend/full-stack development, and system architecture.- You excel in technical communication, with the ability to articulate complex concepts to both technical and non-technical audiences, including executives and engineers.- You thrive in fast-paced, collaborative environments and are passionate about mentoring and growing technical talent. Ideally, you have:- Contributed to open-source projects, particularly in the LLM or AI space.- Experience in customer-facing roles (e.g., Solutions Architect, Customer Engineer, or Technical Product Manager) with a focus on enterprise AI adoption.- A track record of driving technical strategy and influencing product direction based on customer needs and market opportunities. Why join us? You’ll have the opportunity to shape the future of AI adoption in enterprises, work with a world-class team, and contribute to open-source projects that impact millions. If you’re excited about leading technical innovation and solving real-world challenges with AI, we’d love to hear from you!

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About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.About the role As an Enterprise Account Executive at Anthropic, you'll join the foundational team at the forefront of introducing our cutting-edge AI productivity SaaS solution to large enterprise organizations across DACH. You'll drive the adoption of safe, frontier AI by securing strategic deals with major corporations, technology companies, and research institutions. You'll leverage your consultative sales expertise in the enterprise sector to propel revenue growth while becoming a trusted partner to enterprise stakeholders, helping them embed and deploy AI while uncovering its full range of capabilities across business operations, research, and administration. In collaboration with GTM, Product, and Marketing teams, you'll continuously refine our value proposition, sales methodology, and market positioning to resonate with enterprise decision-makers in the French market. Responsibilities: Win new business and drive revenue for Anthropic within the enterprise sector across DACH. Navigate complex enterprise organizations to reach key decision-makers, educate them about our services, and help them succeed with Anthropic. You'll own the full sales cycle, from first outbound to close Design and execute innovative sales strategies tailored to enterprise procurement cycles and budgeting processes to meet and exceed revenue quotas. Analyze enterprise market landscapes, trends, and dynamics to translate high-level plans into targeted sales activities and campaigns Spearhead market expansion by identifying new use cases within enterprise departments, innovation centers, and operational offices. Collaborate cross-functionally to differentiate our offerings for enterprise applications Navigate complex enterprise stakeholder ecosystems including executives, administrators, IT departments, and procurement offices to build consensus across DACH business culture and practices Inform product roadmaps and features by gathering feedback from enterprise users and conveying market needs from the French enterprise landscape. Provide insights that strengthen our value proposition for enterprise customers Continuously refine the enterprise sales methodology by incorporating learnings into playbooks, templates, and best practices. Identify process improvements that optimize sales productivity and consistency You may be a good fit if you have: Native German speaker with excellent written and verbal communication skills in German and English 5+ years of B2B sales experience in enterprise technology, preferably in SaaS or emerging technologies Specialised sales industries experience: Telco, Manufacturing, Retail, Energy and Utilities A track record of managing complex sales cycles within large enterprise organizations and securing strategic deals by understanding both technical requirements and business use cases Demonstrated ability to navigate enterprise bureaucracies and procurement processes, building consensus among diverse stakeholders including executives, administrators, and IT departments Extensive experience negotiating complex agreements within enterprise procurement frameworks and policies Proven experience exceeding revenue targets in the enterprise sector by effectively managing an evolving pipeline and sales process Excellent communication skills and the ability to present confidently to various enterprise audiences, from technical teams and business analysts to senior executives Deep understanding of enterprise buying cycles, decision-making processes, and key pain points, particularly within the French market A strategic, analytical approach to assessing the enterprise market combined with creative, tactical execution to capture opportunities A passion for and/or experience with advanced AI systems and their applications in enterprise environments. You feel strongly about ensuring frontier AI systems are developed safely and ethically for business use What We Offer: Competitive base salary and commission structure Equity participation in Anthropic's growth Comprehensive benefits package Opportunity to shape the AI industry in DACH and EMEA Professional development and career growth opportunities Location: Munich, Germany (hybrid working available) The expected base compensation for this position is below. Our total compensation package for full-time employees includes equity, benefits, and may include incentive compensation.Annual Salary:€205.000—€255.000 EURLogistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process

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AI Engineer - FDE (Forward Deployed Engineer) (ALL LEVELS) Req ID: CSQ127R84 Recruiter: Adam rabinovitch Mission The AI Forward Deployed Engineering (AI FDE) team is a highly specialised customer-facing AI team at Databricks. We deliver professional services engagements to help our customers build and productionize first-of-its-kind AI applications. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations, as well as support internal subject matter expert (SME) teams. We view our team as an ensemble: we look for individuals with strong, unique specialisations to improve the overall strength of the team. This team is the right fit for you if you love working with customers, teammates, and fueling your curiosity for the latest trends in GenAI, LLMOps, and ML more broadly. We welcome remote applicants located near our offices. The preferred locations (in priority order) are London (UK), Madrid (Spain), Paris (France), and Amsterdam (NL). Reporting to: Senior Manager - AI FDE, EMEA The impact you will have: Develop cutting-edge GenAI solutions, incorporating the latest techniques from our Mosaic AI research to solve customer problems Own production rollouts of consumer and internally facing GenAI applications Serve as a trusted technical advisor to customers across a variety of domains Present at conferences such as Data + AI Summit, recognized as a thought leader internally and externally Collaborate cross-functionally with the product and engineering teams to influence priorities and shape the product roadmap  What we look for: Experience building GenAI applications, including RAG, multi-agent systems, Text2SQL, fine-tuning, etc., with tools such as HuggingFace, LangChain, and DSPy Expertise in deploying production-grade GenAI applications, including evaluation and optimizations  Extensive years of hands-on industry data science experience, leveraging common machine learning and data science tools, i.e. pandas, scikit-learn, PyTorch, etc. Experience building production-grade machine learning deployments on AWS, Azure, or GCP Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience Experience communicating and/or teaching technical concepts to non-technical and technical audiences alike Passion for collaboration, life-long learning, and driving business value through AI [Preferred] Experience using the Databricks Intelligence Platform and Apache Spark™ to process large-scale distributed datasets We require fluency in English and welcome candidates who also speak French, Spanish, Dutch, or German About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks.  Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

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About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. _*]:min-w-0 !gap-3.5"> As a Mid Market Account Executive at Anthropic, you'll drive adoption of safe, frontier AI by securing strategic deals with established companies of hundreds or thousands of employees across traditional industries including manufacturing, retail, healthcare, financial services, and logistics. You'll leverage your consultative sales expertise to propel revenue growth while becoming a trusted partner to customers, helping them identify practical AI applications that enhance operational efficiency and drive competitive advantage. In collaboration with GTM, product, and marketing teams, you'll continuously refine our value proposition, sales methodology, and market positioning to resonate with conservative business leaders focused on measurable ROI and risk mitigation. The ideal candidate will have a passion for guiding traditional organizations through technology transformation, building consensus among diverse stakeholders, and executing long-term strategies that drive sustainable AI adoption. By facilitating deployment of Anthropic's AI solutions in established business environments, you will help organizations modernize their operations while advancing the ethical development of AI. About Anthropic Anthropic is an AI safety and research company that works to build reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our customers and for society as a whole. Our interdisciplinary team has experience across ML, physics, policy, business, and product. Responsibilities Drive new business revenue by navigating complex organizational structures to reach decision-makers and educate them on practical AI applications Execute sales strategies tailored to traditional industry procurement cycles and conservative decision-making processes to exceed revenue quotas Identify new operational use cases within traditional business functions and collaborate cross-functionally to position AI as practical enhancement solutions Build consensus among C-suite executives, IT directors, operations leaders, and procurement teams around AI adoption strategies Gather customer feedback to inform product roadmaps and strengthen value propositions for risk-conscious organizations Refine mid-market sales methodology by incorporating learnings into playbooks and optimizing processes for longer decision cycles You may be a good fit if you have: 8+ years B2B software sales experience with 5+ years closing in mid-market accounts within traditional industries Traditional industry expertise in manufacturing, retail, healthcare, financial services, logistics, or professional services Track record closing €100K-€5M deals with 6-12 month sales cycles in conservative business environments Experience as a strategic business advisor facilitating change management and technology adoption Proven ability navigating complex procurement processes and building consensus among diverse stakeholder groups Consultative selling approach translating technical AI capabilities into business language for conservative decision-makers History of exceeding quota while managing longer sales cycles across multiple traditional industry accounts Strong communication skills engaging audiences from technical teams to C-level executives Industry acumen with analytical approach to positioning AI as operational enhancement rather than disruptive technology Change management mindset for guiding conservative organizations through technology adoption Business outcome focus with ability to articulate ROI frameworks and demonstrate measurable operational improvements Passion for AI with commitment to safe, responsible deployment in stability-focused business environments Deadline to apply: None. Applications will be reviewed on a rolling basis. The expected base compensation for this position is below. Our total compensation package for full-time employees includes equity, benefits, and may include incentive compensation.Annual Salary:€165.000—€215.000 EURLogistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process

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About Us Observe.AI is the leading AI agent platform for customer experience. It enables enterprises to deploy AI agents that automate customer interactions, delivering natural conversations for customers with predictable outcomes for the business. Observe.AI combines advanced speech understanding, workflow automation, and enterprise-grade governance to execute end-to-end workflows with AI agents. It also enables teams to guide and augment human agents with AI copilots, and analyze 100% of human and AI interactions for insights, coaching, and quality management. Companies like DoorDash, Affordable Care, Signify Health, and Verida use Observe.AI to transform customer experiences every day by accelerating service speed, increasing operational efficiency, and strengthening customer loyalty across every channel. Why join us At Observe.AI , you’ll be at the forefront of driving customer success by owning critical integrations that power our AI platform. This role allows you to work directly with senior stakeholders, solve complex technical challenges using modern cloud technologies (AWS, MongoDB, Python), and influence how customers realise value from Day 1. You’ll collaborate cross-functionally with Product, Engineering, and Success teams, act as the technical SME in customer conversations, and design scalable solutions that shape both customer workflows and our platform’s growth—all while mentoring others and expanding your own expertise. What you’ll be doing Communicate Observe.AI’s infrastructure and technology to customers in a clear and consultative manner. Plan and execute integrations with Observe.AI, enabling clients to optimise their CCaaS setup and data export mechanisms. Independently handle complex integrations and lead customer technical discovery calls. Provide Level 2 support, troubleshoot client issues, and create detailed engineering tickets for resolution. Oversee end-to-end customer integration processes, including planning, technical configuration, and delivery. Develop and deploy scripts following best practices, with proper logging, alerting, and monitoring. Serve as the technical escalation point for the team, driving timely solutions and guiding junior engineers. Collaborate with cross-functional teams (Tech Support, SE, Implementations, CSM, Engineering) on escalations, feature requests, and automation initiatives. Document complex integrations, technical processes, and step-by-step solutions. Build tools and solutions to automate internal processes and enhance cross-team efficiency. Identify implementation and configuration risks and coordinate with relevant teams for mitigation. Provide tactical solutions for strategic customers, ensuring optimal setup and workflows. Partner with SE and Engineering teams to develop Proof of Value (POV) use cases and maximise customer success with integrations. Stay hands-on with integration technologies, including AWS (S3, Lambda, CLI, EC2, SQS, CloudWatch, CloudTrail, Systems Manager, Transfer Family), MongoDB, Python, and related tools. What you bring to the role 4–7 years of enterprise software experience, with 2+ years in a customer-facing technical role. Background in development, sales engineering, or integration engineering, preferably in SaaS/cloud-hosted solutions. Strong troubleshooting and problem-solving skills with a proven track record of managing technical projects. Hands-on programming experience (Python, Java, etc.) and proficiency in cloud platforms (AWS required). Excellent communication, presentation, and interpersonal skills, with the ability to explain technical concepts to non-technical audiences. Self-motivated, proactive, and able to operate independently without day-to-day management. Experience in SaaS-to-Enterprise data integration; quick to learn new technologies, including Observe.AI and customer-specific software.  Perks & Benefits Excellent medical insurance options and free online doctor consultations Yearly privilege and sick leaves as per Karnataka S&E Act Generous holidays (National and Festive) recognition and parental leave policies Learning & Development fund to support your continuous learning journey and professional development Fun events to build culture across the organization Flexible benefit plans for tax exemptions (i.e. Meal card, PF, etc.) Our Commitment to Inclusion and Belonging Observe.AI is an Equal Employment Opportunity employer that proudly pursues and hires a diverse workforce. Observe AI does not make hiring or employment decisions on the basis of race, color, religion or religious belief, ethnic or national origin, nationality, sex, gender, gender identity, sexual orientation, disability, age, military or veteran status, or any other basis protected by applicable local, state, or federal laws or prohibited by Company policy. Observe.AI also strives for a healthy and safe workplace and strictly prohibits harassment of any kind. We welcome all people. We celebrate diversity of all kinds and are committed to creating an inclusive culture built on a foundation of respect for all individuals. We seek to hire, develop, and retain talented people from all backgrounds. Individuals from non-traditional backgrounds, historically marginalized or underrepresented groups are strongly encouraged to apply. If you are ambitious, make an impact wherever you go, and you're ready to shape the future of Observe.AI, we encourage you to apply. For more information, visit www.observe.ai.

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This opportunity is only for candidates currently residing in the specified country. Your location may affect eligibility and rates. Please submit your resume in English and indicate your level of English proficiency.At Mindrift, innovation meets opportunity. We believe in using the power of collective human intelligence to ethically shape the future of AI. What we doThe Mindrift platform, launched and powered by Toloka, connects domain experts with cutting-edge AI projects from innovative tech clients. Our mission is to unlock the potential of GenAI by tapping into real-world expertise from across the globe. Who we're looking for:We’re looking for curious and intellectually proactive contributors, the kind of person who double-checks assumptions and plays devil’s advocate. Are you comfortable with ambiguity and complexity? Does an async, remote, flexible opportunity sound exciting? Would you like to learn how modern AI systems are tested and evaluated?This is a flexible, project-based opportunity well-suited for:Analysts, researchers, or consultants with strong critical thinking skills.Students (senior undergrads / grad students) looking for an intellectually interesting gig.People open to a part-time and non-permanent opportunity. About the project:We’re on the hunt for QAs for autonomous AI agents for a new project focused on validating and improving complex task structures, policy logic, and agent evaluation frameworks. Throughout the project, you’ll have to balance quality assurance, research, and logical problem-solving. This project opportunity is ideal for people who enjoy looking at systems holistically and thinking through scenarios, implications, and edge cases.You do not need a coding background, but you must be curious, intellectually rigorous, and capable of evaluating the soundness and consistency of complex setups. If you’ve ever excelled in things like consulting, CHGK, Olympiads, case solving, or systems thinking — you might be a great fit.What you’ll be doing:Reviewing evaluation tasks and scenarios for logic, completeness, and realism.Identifying inconsistencies, missing assumptions, or unclear decision points.Helping define clear expected behaviors (gold standards) for AI agents.Annotating cause-effect relationships, reasoning paths, and plausible alternatives.Thinking through complex systems and policies as a human would to ensure agents are tested properly.Working closely with QA, writers, or developers to suggest refinements or edge case coverage.How to get started:Apply to this post, qualify, and get the chance to contribute to a project aligned with your skills, on your own schedule. Shape the future of AI while building tools that benefit everyone.RequirementsExcellent analytical thinking: Can reason about complex systems, scenarios, and logical implications.Strong attention to detail: Can spot contradictions, ambiguities, and vague requirements.Familiarity with structured data formats: Can read, not necessarily write JSON/YAML.Ability to assess scenarios holistically: What's missing, what’s unrealistic, what might break?Good communication and clear writing (in English) to document your findings. We also value applicants who have:Experience with policy evaluation, logic puzzles, case studies, or structured scenario design.Background in consulting, academia, olympiads (e.g. logic/math/informatics), or research.Exposure to LLMs, prompt engineering, or AI-generated content.Familiarity with QA or test-case thinking (edge cases, failure modes, “what could go wrong”).Some understanding of how scoring or evaluation works in agent testing (precision, coverage, etc.).Benefits Get paid for your expertise, with rates that can go up to $55/hour depending on your skills, experience, and project needs. Take part in a flexible, remote, freelance project that fits around your primary professional or academic commitments. Participate in an advanced AI project and gain valuable experience to enhance your portfolio. Influence how future AI models understand and communicate in your field of expertise.

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About MaincodeMaincode is an AI research and engineering company and home to Matilda, Australia’s first and only large language model trained from scratch. We operate our own advanced AI infrastructure in local data-centres; designing, building, and running everything from the racks up through model training and serving systems.We’re building an AI Model Factory, a new kind of compute infrastructure that powers frontier AI research and production systems that work at scale. About the RoleDespite the title, this role isn’t really about traditional mechatronics. We’re looking for something that doesn’t quite exist in the market: an AI Model Factory Architect.This role sits at the intersection of physical systems, large-scale compute, and AI research. You’ll help design and operate the infrastructure that trains large-scale models: racks of GPUs, high-performance networks, and the orchestration systems that keep them running.People with strong research instincts and systems thinking thrive here. You don’t need prior datacenter experience; curiosity, first-principles reasoning, and the ability to learn fast matter more. Someone from mechatronics, robotics, or aerospace who has strong computational skills could excel in this role. We’ll give you the time, mentorship, and resources to master how these systems work, and you’ll develop expertise in one of the most essential technical domains of the coming decade. What You’ll DoLearn to design, deploy, and operate the backbone of AI infrastructure.Work with GPU clusters, high-speed networking, and large-scale Linux systems.Contribute to the architecture of Australia’s first production-scale AI datacentre systems.Collaborate with AI researchers and engineers to shape the next generation of model training environments.Develop new operational and architectural approaches from first principles. You Might Be a Fit IfYou have a background in a technical or scientific field (mechatronics, robotics, aerospace, physics, or similar) and strong computational skills (e.g., modelling and numerical simulation, automation, MPI or HPC environments, GPU and accelerator programming, systems programming, or Linux).You enjoy understanding complex systems from first principles.You learn new technologies fast and apply them independently.You think in terms of system architecture, how components interact and scale.You’re curious about how AI actually runs, from circuits and cooling to training loops.

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About MaincodeMaincode is an AI research and engineering company and home to Matilda, Australia’s first and only large language model trained from scratch. We operate our own advanced AI infrastructure in local data-centres; designing, building, and running everything from the racks up through model training and serving systems.We’re building an AI Model Factory, a new kind of compute infrastructure that powers frontier AI research and production systems that work at scale. About the RoleDespite the title, this role isn’t really about robotics. We’re looking for something that doesn’t quite exist in the market: an AI Model Factory Architect.This role sits at the intersection of physical systems, large-scale compute, and AI research. You’ll help design and operate the infrastructure that trains large-scale models: racks of GPUs, high-performance networks, and the orchestration systems that keep them running.People with strong research instincts and systems thinking thrive here. You don’t need prior experience in the datacentre; curiosity, first-principles reasoning, and the ability to learn fast matter more. Someone from robotics, aerospace, or similar fields who has strong computational skills could excel in this role. We’ll give you the time, mentorship, and resources to master how these systems work, and you’ll develop expertise in one of the most essential technical domains of the coming decade. What You’ll DoLearn to design, deploy, and operate the backbone of AI infrastructure.Work with GPU clusters, high-speed networking, and large-scale Linux systems.Contribute to the architecture of Australia’s first production-scale AI datacentre systems.Collaborate with AI researchers and engineers to shape the next generation of model training environments.Develop new operational and architectural approaches from first principles. You Might Be a Fit IfYou have a background in a technical or scientific field (robotics, mechatronics, aerospace, physics, or similar) and strong computational skills (e.g., modelling, numerical simulation, automation, MPI or HPC environments, GPU and accelerator programming, systems programming, or Linux).You enjoy understanding complex systems from first principles.You learn new technologies fast and apply them independently.You think in terms of system architecture, how components interact and scale.You’re curious about how AI actually runs, from circuits and cooling to training loops.

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About Brain Co.Brain Co. is an Applied AI startup founded by Elad Gil and Jared Kushner, and backed by many of Silicon Valley’s leading builders — including Patrick Collison (CEO of Stripe), Andrej Karpathy (Cofounder of OpenAI), Mike Krieger (CPO of Anthropic), Kevin Weil (CPO of OpenAI), and Aravind Srinivas (CEO of Perplexity).We are building an AI platform and applications for the world’s most important institutions - delivering impact on real-world problems.Our progress so farAutomated construction permitting for a sovereign government → 80% faster, unlocking $375M+ in valueOptimized supply chains for a leading global energy company → 30% lower cost, 99% reliability, preventing $100M+ in lossesStreamlined hospital patient care across national health systems → 40% better outcomes, 80% less admin workRaised a $30M Series A from top investorsBuilt a team of 40+ AI experts from Tesla, Google DeepMind, NVIDIA, and DatabricksAt Brain Co., your work will be deployed in the real world, not stuck in research. We move fast, with more demand than we can serve, and are looking for exceptional people to take ownership from day one. About The RoleWe’re looking for a Product Manager to join our growing Product team and take full ownership of a well-scoped product area from day one. You’ll translate business problems into PRDs, partner closely with engineering and design, and drive projects through build, launch, and iteration.This role is ideal for someone who thrives in fast-paced, early-stage environments, can bring structure to ambiguity, and enjoys turning complex ideas into clear, executable plans. Success in this role will open the path to broader product ownership and leadership scope over time.This role will be filled through a referral-only network approach. We are not accepting inbound applications. In This Role, You Will:Own a defined product area end-to-end — from discovery and scoping through design, development, and deliveryWrite crisp PRDs and translate complex problems into actionable technical requirementsCollaborate with engineering, design, and operations to ship high-quality products quicklyManage execution timelines, milestones, and dependencies to ensure on-time deliveryEstablish clarity and alignment across teams in a fast-moving environmentMeasure impact, gather feedback, and drive iteration to ensure continuous improvementHelp shape Brain Co.’s product development culture and best practices as the team scalesYou Might Thrive In This Role If You:Have product experience in tech-forward companies within insurance, finance, or legal domainsBring early-stage or startup experience, thriving in high-ownership, low-structure environmentsHave a track record of taking projects from concept or statement of work through launchCommunicate clearly across technical and business audiencesAre proactive, detail-oriented, and comfortable managing multiple workstreams at onceEnjoy building process lightly but effectively to help teams move fasterAre motivated by seeing your work deployed and making real-world impact BenefitsCompetitive salary plus equityDaily lunchesCommuter benefits401(k)Medical, Dental, and VisionUnlimited PTO Why Join UsShip quickly, iterate constantly, and see your work deployed at global scaleCollaborate with industry veterans from Tesla, DeepMind, Databricks, and moreAccelerate your career with ownership based on impact, not tenureEarn competitive compensation + meaningful equity in a high-growth companyThrive in a culture built on speed, curiosity, and impact

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We're building the AI platform for underserved industries.LLM usage has seen a meteoric rise in the past year, but there is still a significant gap between agentic innovation and its use in the real world. This is especially true for underserved industries like automotive and healthcare, where outdated systems persist due to barriers to entry, legacy software, and high-stakes consequences of hallucinations and failure. Here at Toma (YC W24), we are bridging this gap by providing a customer-centric platform to deploy and monitor AI agents, even for non-technical users. We recently raised a $17M Series A from a16z and are building the future of human-AI interactions, starting in the automotive industry.Our TeamWe’re assembling a team of Avengers: engineers, product managers, former founders, athletes, and leaders from Scale AI, Uber, Braze, Microsoft, Amazon, and more. We consider everyone regardless of their backgrounds or identities. Learn more about us here.About this RoleWe’re looking for a Staff Software Engineer to lead our Product pod, the team responsible for everything users touch, from our real-time voice AI dashboard to the systems that power high-throughput streaming and in-house tooling.You’ll own the technical direction of the pod, mentor other engineers, and partner closely with product and design to deliver fast, reliable, and magical user experiences. This role is deeply hands-on. You’ll be writing and reviewing code daily, shaping architecture, and helping scale our platform as we grow.What you will doLead the architecture, implementation, and delivery of user-facing products (dashboard, real-time voice AI, support tooling)Write high-quality, production-grade TypeScript across the stack (Next.js, Bun)Mentor and guide engineers through code reviews, design discussions, and technical planningCollaborate directly with Product and Design to align on priorities and execute quicklyPartner with other pods to integrate intelligent features into the product experienceDrive engineering velocity while maintaining reliability and system healthWork closely with customers to translate their feedback into scalable product improvementsPreferred QualificationsExperience in TypeScript, low-level Node.js (Bun), T3 Stack (Next.js, React, Prisma, PostgreSQL, NextAuth, tRPC)6+ years of experience building and scaling full-stack web applicationsExperience leading projects or teams in fast-paced environmentsCare about craft and speed (you can move quickly without compromising on quality)Desire to continuously learnDon’t think you meet all the qualifications? Apply anyway. We’d love to hear what excites you about us, and we may have a role that's a good fit for you.BenefitsCompetitive salary with meaningful equityFree health, dental, and vision insuranceFree in-office lunch and dinnersUnlimited PTO

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Location 📍: San Francisco, USA (Hybrid 3 days/week) About Us 🚀At Relevance AI, our mission is to empower anyone to delegate work to the AI workforce. We’re building a new category of AI automation, enabling teams to create and deploy intelligent AI agents that replicate human-quality work, decision-making, and collaboration at scale.We’re scaling fast backed by top global investors including Bessemer Venture Partners, Insight Partners, Peak XV, and King River Capital and our platform is already trusted by industry leaders like Canva, Databricks, Confluent, KMPG, Autodesk, and more. With offices in Sydney 🇦🇺 and San Francisco 🇺🇸 (and a new hub launching in Barcelona 🇪🇸), this is your chance to shape the future of work on a global stage.The Role 🧠We’re looking for a Founding Site Reliability Engineer to join us as our first SRE hire in San Francisco. We are open to hiring someone who is Senior, Lead or Principal level and will be candidate led. This role is perfect for someone ready to establish and scale the SRE discipline from the ground up in one of the fastest-growing AI companies globally.You’ll own the reliability, scalability, and security of our platform as we power tens of thousands of multi-agent workloads across multiple regions. You’ll partner closely with our founders, engineering leads, and product teams to define our reliability culture, shape long-term strategy, and build world-class infrastructure for enterprise scale.What You’ll Do 💪Own SRE establishing best practices, tooling, and cultureTackle reliability challenges unique to multi-agent orchestration at enterprise scaleGuarantee >99.9% uptime of production systems, ensuring reliability at global scaleArchitect and automate AWS infrastructure with Terraform and CI/CD pipelinesDesign observability systems across microservices, APIs, and vector infrastructure (metrics, tracing, logging)Drive down incidents and MTTR through runbooks, alerting, and incident response excellenceHelp scale infra to support hundreds of thousands of agents and billions of API callsPartner with engineering teams to embed SRE principles into the SDLC and shape org-wide reliability strategyAct as a founding voice in our SF office, influencing product direction and engineering cultureWhat We’re Looking For 🧠5+ years in SRE/DevOps/Infrastructure roles, with experience in enterprise SaaS environments.Deep AWS expertise (EC2, ECS/EKS, Lambda, RDS, VPC, IAM).Proven track record with Infrastructure as Code (Terraform, Kubernetes/EKS, CDK, or CloudFormation).Hands-on with observability stacks (CloudWatch, Grafana, Prometheus, Datadog).Incident management experience in production SaaS systems, including on-call, postmortems, and reliability improvements.Bonus: Prior exposure to AI/ML platforms, data-heavy systems, or multi-agent workloads.Tech Stack 🧰AWS, Kubernetes/EKS, Terraform, GitHub Actions, Postgres/Mongo, Prometheus/Grafana, CloudWatch, PagerDuty/BetterStack

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We’re a fast-growing, seed-stage Cybersecurity startup backed by top investors — and we’re scaling quickly to keep up with demand. We’re looking for a Growth Campaigns Manager who’s ready to build, experiment, and drive measurable impact.This isn’t a “maintain what’s working” type of role. It’s for someone who wants to own demand generation, experiment with AI-driven marketing, and bring creative, data-backed campaigns to life across digital and live channels.What You’ll DoDesign and run integrated campaigns across email, digital, webinars, and live events that drive awareness and pipeline.Build programs including monthly webinars, advisor briefings, and customer roundtables - and find creative ways to make each one stand out.Experiment with AI - from automating workflows to personalizing outreach or content generation. We want someone who’s been curious, tried things, and learned fast.Collaborate cross-functionally with sales, product, and customer success to align messaging and accelerate conversions.Work directly with our advisory board and customers, strengthening relationships that turn into real advocacy and influence.Use tools like HubSpot and Salesforce to measure impact, optimize campaigns, and show what’s moving the needle.Bring ideas to the table — we value creativity and initiative over hierarchy. What You Bring2+ years of experience in B2B marketing, ideally in SaaS or cybersecurity.A strong grasp of demand generation and campaign orchestration.A natural attention to detail and ability to manage multiple priorities in a fast-moving environment.Experience with HubSpot, Salesforce, and digital campaign tools.You’ve experimented with AI in your workflow - whether for automation, analysis, or content - and have thoughts on what actually works.A metrics-driven mindset and an eagerness to own results.Above all: hunger and curiosity. You don’t need to have owned the entire function before - just the drive to build, learn, and make an impact. Why You’ll Love This RoleYou’ll build, not inherit, the campaigns engine for a company that’s growing fast.You’ll experiment with the newest tools and technologies, including AI, automation, and personalization platforms.You’ll work with a supportive, collaborative team that values initiative and new ideas.You’ll get ownership and visibility in a role where creativity, execution, and impact go hand in handCompetitive compensation, equity, and benefits — plus the opportunity to grow alongside a company redefining cybersecurity marketing. Ready to build something big? If this sounds like you, we’d love to hear from you. Drop us a note or apply directly — and tell us about an AI experiment or campaign you’ve run that you’re proud of.

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About Parloa Parloa’s ambition is to become an iconic AI Platform company serving Fortune 2000 enterprises, a unique opportunity to shape the next era of enterprise AI. With global enterprise customers, we are already proving the impact of our Agent Management Platform (AMP), which - beyond the initial success - is evolving into the AI Agent Management layer for enterprise AI transformation. We are building Europe’s leading engineering organization to set the global benchmark for engineering excellence. Our mission is clear: deliver robust, enterprise-grade, resilient, and reliable AI solutions at speed. In a fast-moving market where sales cycles for multimillion-dollar deals can be as short as 1–2 months, speed is our currency. We are competing head-to-head with the big-tech companies and fast-moving AI-native startups. This is our moment to establish Parloa as a global leader in Agentic AI Platforms. Our engineering team is building a Composable Customer Experience Platform with Packaged Business Capabilities (PBCs), giving customers the power to choose between a turnkey solution or a composable toolkit integrated into their enterprise stack. Our engineering organization (120+ people, scaling fast) is structured into Customer Experience Automation (CXA), Product Platform, and Technology Platform—together delivering a Composable Customer Experience Platform. Think AWS-like granularity, but built to empower enterprises with speed, flexibility, and resilience. This is a once-in-a-decade opportunity to define how Agentic AI will transform the enterprise. To win, we need elite engineering leadership: fearless, pragmatic, and obsessed with building high-performing teams that deliver outcomes at speed and scale. The Role As an Engineering Manager (f/m/d) at Parloa, you will be entrusted with one of the most critical missions: Building and leading a high-talent, high-performance team of engineers. Ensuring that the team delivers enterprise-grade, resilient, and innovative AI solutions that customers love. Raising the bar on technical excellence, cultural leadership, and operational discipline. You are both a builder and a leader. You dive deep into technical challenges, but your true leverage comes from how you develop engineers, scale teams, and drive alignment with Parloa’s strategic goals. You balance autonomy with accountability, empowering your teams while ensuring they deliver measurable customer and business impact. What You’ll Do Build and scale world-class teams: Hire, mentor, and elevate exceptional engineers. Create a culture of ownership, bias for action, and continuous improvement. Drive outcomes, not just output: Ensure every project directly contributes to Parloa’s strategic goals and delivers measurable customer value. Raise the technical bar: Partner with Staff and Principal Engineers to drive architectural excellence, reliability, and pragmatic perfectionism—design for tomorrow, build for today. Foster fearless culture: Enable fast, decentralized decision-making, encourage experimentation, and build trust by supporting your team in both successes and failures. Lead with alignment and clarity: Translate company strategy into clear objectives and measurable outcomes for your team. Ensure operational excellence: Instill high standards in security, availability, quality, and performance, making resilience and scale-by-design the default. Collaborate cross-functionally: Partner with Product, Design, and Business leaders to ensure technical execution and product vision are tightly aligned. Who You Are A proven engineering leader (8–12+ years in software engineering, 3–5+ years in people leadership) with a track record of delivering complex, enterprise-grade systems at scale. A talent magnet: you know how to attract, develop, and retain world-class engineers, raising the bar with every hire. A strategic operator who can both set vision and dive deep into technical or operational details when needed. A culture builder: you model integrity, ownership, customer obsession, and high standards, inspiring others to do the same. Fearless and pragmatic: you balance ambition with execution, turning bold visions into reality through iteration and disciplined delivery. Skilled in scaling organizations: you know how to build systems, not bureaucracy, to ensure sustainable speed and impact. Why Join Parloa? Impact at Scale: Define the future of enterprise AI in a market ripe for disruption. Elite Talent Density: Work alongside top-tier engineers, Staff, and Principal leaders in a reverse-pyramid structure optimized for speed and innovation. Culture of Builders: Ownership, autonomy, and fearless iteration are not slogans—they are how we win. Uncapped Growth: Be part of an org growing 4x annually, where career opportunities multiply as fast as our business. Global Ambition: Help establish Parloa as Europe’s most admired engineering organization, competing head-to-head with FAANG and beyond. Our Values At Parloa, we hire, promote, and evaluate based on cultural and technical excellence. You’ll thrive here if you: Earn Trust – act with transparency and reliability. Obsess Over Customers – always start with the customer problem. Think Big – set bold goals and pursue them fearlessly. Have Integrity – do the right thing, especially when it’s hard. Disagree & Commit – debate with candor, align fast, and deliver. Own It – take full responsibility for outcomes, not just tasks. Dive Deep – master the details without losing sight of the big picture. Bias for Action – move fast, decide quickly, iterate fearlessly. Deliver Value – measure success by customer and business impact. Insist on the Highest Standards – raise the bar continuously. Go the Extra Mile – make the impossible possible. Hire & Elevate the Best – raise the bar with every hire. WHAT'S IN IT FOR YOU? Join a diverse team of 40+ nationalities with flat hierarchies and a collaborative company culture. Opportunity to build and scale your career at the intersection of customer-facing roles and engineering in a dynamic startup on its journey to become an international leader in SaaS platforms for Conversational AI. Deutschland ticket, Urban Sports Club, Job Rad, Nilo Health, weekly sponsored office lunches Competitive compensation and equity package. Flexible working hours, 28 vacation days and workation opportunities. Access to a training and development budget for continuous professional growth. Regular team events, game nights, and other social activities. Hybrid work environment. However, we love to build real connections and want to welcome everyone in our beautiful Berlin office on certain days.   Your recruiting process at Parloa: Recruiter video call → Peer Interview → 360° Technical Interview Loop → Bar Raiser Interview    Why Parloa?  Parloa is one of the fastest growing startups in the world of Generative AI and customer service. Parloa’s voice-first GenAI platform for contact centers is built on the best AI technology to automate customer service with natural-sounding conversations for outstanding experiences on all communication channels. Leveraging natural language processing (NLP) and machine learning, Parloa creates intelligent phone and chat solutions for businesses that turn contact centers into value centers by boosting customer service efficiency. The Parloa platform resolves the majority of customer queries quickly and automatically, allowing human agents to focus on complex issues and relationships. Parloa was founded in 2018 by Malte Kosub and Stefan Ostwald and today employs over 400+ people in Berlin, Munich, and New York. When you join Parloa, you become part of a dynamic and innovative team made up of over 34 nationalities that’s revolutionizing an entire industry. We’re passionate about growing together and creating opportunities for personal and professional development. With our recent $120 million Series C investment, we’re expanding globally and looking for talented individuals to join us on this exciting journey. Do you have questions about Parloa, the role, or our team before you apply? Please feel free to get in touch with our Hiring Team. Parloa is committed to upholding the highest data protection standards for our clients' and employees' data. All our employees are instrumental in ensuring the utmost care, GDPR, and ISO compliance, including ISO 27001, in handling sensitive information. * We provide equal opportunities to all qualified applicants regardless race, gender, sexual orientation, age, religion, national origin, disability status, socioeconomic background and other characteristics.

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ABOUT BASETENBaseten powers inference for the world's most dynamic AI companies, like OpenEvidence, Clay, Mirage, Gamma, Sourcegraph, Writer, Abridge, Bland, and Zed. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. With our recent $150M Series D funding, backed by investors including BOND, IVP, Spark Capital, Greylock, and Conviction, we’re scaling our team to meet accelerating customer demand.THE ROLEAs a Site Reliability Engineer, you'll envision and build robust systems and processes that ensure our infrastructure is scalable, reliable, and efficient. This can range from automating deployments and monitoring systems to optimizing performance and managing incidents.We all work closely with our users, learning from their past struggles in operationalizing ML, onboarding them onto our platform, and turning our learnings into ideas for improving Baseten.EXAMPLE INITIATIVESYou'll get to work on these types of projects as part of our Infrastructure team: Multi-cloud capacity managementInference on B200 GPUsMulti-node inferenceFractional H100 GPUs for efficient model servingRESPONSIBILITIESBuild and maintain scalable infrastructure to support the deployment and operation of machine learning models.Establish standards and best practices for reliability and performance across the infrastructure.Automate processes when relevant, particularly for managing CI/CD pipelines.Own products and projects end-to-end, functioning as both an engineer and a project manager, with a focus on user empathy, project specification, and end-to-end execution.Collaborate with cross-functional teams to understand project requirements and translate them into technical solutions.Mentor junior team members and contribute to knowledge sharing within the organization.Navigate ambiguity and exercise good judgment on tradeoffs and tools needed to solve problems, avoiding unnecessary complexity.Demonstrate pride, ownership, and accountability for your work, expecting the same from your teammates.REQUIREMENTSBachelor's, Master's, or Ph.D. degree in Computer Science, Engineering, Mathematics, or related field.5+ years of professional work experience in a fast-paced, high-growth environment.Extensive experience with Kubernetes.Experience in building and maintaining scalable infrastructure.Experience with infrastructure-as-code tools (e.g., Terraform, CloudFormation, Pulumi) and CI/CD tooling (e.g., GitHub Actions, GitLab CI, Circle CI, Jenkins).Relevant OSS observability experience (Prometheus, ELK stack, Grafana stack, Opentelemetry) is a plus.Ability to own projects end-to-end, from project specification to execution.No prior machine learning experience required, but should be open to learning about it.BENEFITSCompetitive compensation package.This is a unique opportunity to be part of a rapidly growing startup in one of the most exciting engineering fields of our era.An inclusive and supportive work culture that fosters learning and growth.Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.