AI Product & Operation Jobs

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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.

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🌁 Location: San Francisco, in-person only 💰 Salary: $180.000 - $250,000 annual salary + 📈 Equity 💻 Languages/Frameworks: TypeScript, Next.js ✅ Skills: Building full-stack apps, expertise with complex web views that efficiently manage state between client and server, strong UI/UX sensibility👉 Who we areE2B is a fast growing Series A startup with 7-figure revenue. We've raised over $32M in total since our funding in 2023 and are supported by great investors like Insight Partners. Our customers are companies like Perplexity, Hugging Face, Manus, or Groq. We're building the next hyperscaler for AI agents.👉 About the roleYour job will be to own and scale the E2B Dashboard — the application developers rely on to develop and monitor sandboxes, track usage metrics, and debug their infrastructure. You'll ship features quickly and make key product decisions with minimal oversight.You'll build enterprise-grade experiences that scale to 100k+ weekly active users. Responsibilities include:Shipping user-facing features end-to-end — from design decisions through deployment and monitoringOptimizing Next.js performance with multi-layer caching and response time improvementsEngaging directly with customers to transform their needs into technical solutionsBuilding real-time data experiences using WebSockets and SSE for sandbox logs and metricsMaking architectural decisions around observability, testing, and security best practicesThis role requires a high amount of ownership and ability to take projects from 0 to 1. You'll have deep autonomy to make product and technical decisions. If you see a better way to build something, you build it.👉 What we're looking for3-5+ years shipping production web applications with deep expertise in React, and TypeScriptAdvanced expertise with Next.js app router and knowledge of its latest features to optimize web performanceGreat taste on front-end decisions — you know when to prioritize polish vs speed and care deeply about developer experienceBack-end competence with modern stacks: comfortable with Supabase/PostgreSQL, API design, authentication/authorization, and server-side optimizationExcited to work in person from San Francisco on a devtool productOwnership mentality: you see projects through from conception to launch to iterationComfortable talking to customers and explaining technical tradeoffsNot being afraid to take ownership of the part of our productGreat communication, curiosity, and interest in the AI spaceIf you join E2B, you'll get a lot of freedom. We expect you to be proactive and take ownership. You'll be taking projects from 0 to 1 with the support of the rest of the team.

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Who We Are PathAI's mission is to improve patient outcomes with AI-powered pathology. Our platform promises substantial improvements to the accuracy of diagnosis and the efficacy of treatment of diseases like cancer, leveraging modern approaches in machine learning. Our team, comprising diverse employees with a wide range of backgrounds and experiences, is passionate about solving challenging problems and making a huge impact. We are seeking an experienced Contract Database / Data Warehouse Specialist to enhance the scalability, performance, and maintainability of our ML data infrastructure. The ideal candidate will bring expertise in relational databases, ETL processes, and modern big data deployments. You will work closely with our MLOps and ML engineering teams to optimize storage usage, modernize ETL pipelines, deploy new technology, and/or build / enhance tools that support analytics and machine learning workflows. Contract Duration: Minimum 6 months Location: Remote (U.S.) What You’ll Do Analyze and optimize storage strategies for ML experiment data and metadata. Design and implement intelligent retention and expiration for large-scale datasets. Modernize and refactor ETL pipelines to improve scalability and ease of maintenance. Build and enhance database-backed applications supporting ML R&D and production analytics. Collaborate with ML engineers, SREs, and platform teams. Provide knowledge transfer for long-term maintainers. What You’ll Need Proven expertise with relational databases (e.g., Postgres, Amazon RDS, Aurora), including schema design, query optimization, and performance tuning. Strong experience with ETL development and cloud data warehousing (e.g., Snowflake, Redshift). Familiarity with big data deployments and scalable architectures such as Spark and Hive. Experience with Apache Airflow for systems automation. Proficiency in Python for application development, data processing and automation. Understanding of S3-based storage and large-scale data management strategies. Ability to write clear technical documentation and collaborate effectively across teams. Experience with query optimization, data partitioning strategies, and cost optimization in cloud environments Nice to Have Background in machine learning data pipelines or analytics-heavy environments. Knowledge of data governance, retention policies, or cost-optimization strategies in cloud environments. We Want to Hear From You At PathAI, we are looking for individuals who are team players, are willing to do the work no matter how big or small it may be, and who are passionate about everything they do. If this sounds like you, even if you may not match the job description to a tee, we encourage you to apply. You could be exactly what we're looking for.  PathAI is an equal opportunity employer, dedicated to creating a workplace that is free of harassment and discrimination. We base our employment decisions on business needs, job requirements, and qualifications — that's all. We do not discriminate based on race, gender, religion, health, personal beliefs, age, family or parental status, or any other status. We don't tolerate any kind of discrimination or bias, and we are looking for teammates who feel the same way.  #LI-Remote

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Lambda, The Superintelligence Cloud, builds Gigawatt-scale AI Factories for Training and Inference. Lambda’s mission is to make compute as ubiquitous as electricity and give every person access to artificial intelligence. One person, one GPU. If you'd like to build the world's best deep learning cloud, join us.  *Note: This position requires presence in our San Francisco/San Jose or Seattle office location 4 days per week; Lambda’s designated work from home day is currently Tuesday. Engineering at Lambda is responsible for building and scaling our cloud offering. Our scope includes the Lambda website, cloud APIs and systems as well as internal tooling for system deployment, management and maintenance. About the RoleEngineering at Lambda is responsible for building, operating, scaling and maintaining our AI Cloud offerings. The HPC Deployments team are responsible for deploying cutting edge NVIDIA GPU clusters on time, at scale and with 100% quality & correctness.Reporting to the Director of Fleet Engineering, you will lead and scale one of our HPC Deployments teams. This work is highly cross functional and critical to the timely success of our customers. Your team is focused on building and validating clusters deployed across our data center facilities. You will work collaboratively with Product and Infrastructure engineering teams to improve transparency, metrics, automation and overall efficiency for the team. We value diverse backgrounds, experiences, and skills, and we are excited to hear from candidates who can bring unique perspectives to our team. If you do not exactly meet this description but believe you may be a good fit, please still apply and help us understand your readiness for this Manager role. Your application is not a waste of our time.What You’ll DoLead and grow a distributed top-talent team of HPC engineers responsible for the configuration, validation, deployment of large scale GPU clusters.Work cross functionally with teams in the organization to deliver projects and deployments on time, ensuring alignment across stakeholders.Identify opportunities for efficiency improvements in the tools / process / automation that the team relies upon day to day.Ensure stakeholders have clear visibility into deployment progress, risks, and outcomes.Drive outcomes by managing staff allocations, project priorities, deadlines, and deliverables.Conduct regular one-on-one meetings, provide constructive feedback, and support career development for team members.Stay current on the latest HPC/AI technologies and best practicesParticipate in the qualification efforts of new technologies for use in our production deploymentsYouExtensive experience in HPC or large-scale infrastructure, including at least 3 years in a leadership or management role.Work well under deadlines and structured project plans; able to successfully (and tactfully) negotiate changes to project timelinesHave excellent problem solving and troubleshooting skillsCan effectively collaborate with peer engineering managers to coordinate efforts that may impact deployment operationsAre comfortable leading and mentoring HPC engineers on cluster deployments as neededExperience building a high-performance team through deliberate hiring, upskilling, planned skills redundancy, performance-management, and expectation setting.Have flexibility to travel to our North American data centers as on-site needs arise or as part of training exercisesNice to HaveExperience with Linux systems administration, automation, scripting/coding.Experience with containerization technologies (Docker, Kubernetes)Experience working with the technologies that underpin our cloud business (GPU acceleration, virtualization, and cloud computing)Experience with machine learning and deep learning frameworks (PyTorch, Tensorflow) and benchmarking tools (DeepSpeed, MLPerf)Soft Skills (customer awareness, diplomacy)Bachelor’s degree or equivalent experience in a technical field.Salary Range InformationThe annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description. About LambdaFounded in 2012, ~400 employees (2025) and growing fastWe offer generous cash & equity compensationOur investors include Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, US Innovative Technology, Gradient Ventures, Mercato Partners, SVB, 1517, Crescent Cove.We are experiencing extremely high demand for our systems, with quarter over quarter, year over year profitabilityOur research papers have been accepted into top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOGHealth, dental, and vision coverage for you and your dependentsWellness and Commuter stipends for select roles401k Plan with 2% company match (USA employees)Flexible Paid Time Off Plan that we all actually useA Final Note:You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.Equal Opportunity EmployerLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

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About the roleJoin our engineering team to help build the future of knowledge sharing and AI-powered learning. We're looking for talented engineers who can contribute across our technology stack. Whether you're a generalist or have deeper expertise in specific areas, we value strong engineering fundamentals and the ability to learn and grow with our team.What We OfferHelp shape AI's future alongside brilliant minds from Notion, Dropbox, Slack, Databricks, Google, McKinsey, and BCG.Competitive salary complemented with a transparent and highly competitive options program.Swift professional growth in an evolving environment, supported by a culture of continuous feedback and mentorship from senior leaders.Work with talented teammates across 5+ countries, and collaborate with customers globallyRegular team gatherings and events (recently in Italy and South Africa)

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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.So, what’s the role all about? We are seeking an Automation Engineer to join our Big Data team, where we build cutting-edge, AI-driven applications that empower the world’s largest financial institutions in the fight against financial crime. You’ll be part of a dynamic group responsible for the analytics and developer experience foundations, enabling software developers, data engineers, and data scientists to deliver scalable, high-quality analytics solutions quickly. In this role, you’ll ensure the quality, reliability, and performance of our intelligent cloud-based products through robust automated testing. How will you make an impact? Design, develop, and maintain automated tests for backend systems and data pipelines. Implement and manage a scalable testing framework to support continuous integration and delivery. Create test plans, and maintain detailed documentation of testing processes, results, and quality metrics. Collaborate with developers and product managers to understand system architecture and business requirements. Participate in requirements analysis, technical reviews, and test planning. Identify, document, and track defects, drive resolution with development teams. Monitor production environments, investigate anomalies, and push for timely fixes. Ensure data health and correctness across systems. Continuously improve QA processes, tools, and best practices. Advocate for quality across the development lifecycle. Have you got what it takes? Sc. in Computer Science or related field (or equivalent experience). 5+ years of hands-on programming experience in Java, Python, JavaScript, C# or TypeScript. Strong understanding of OOP/OOD principles and software design patterns. Experience with AWS and cloud-native architectures. Familiarity with unit testing, performance testing, and debugging techniques. Hands-on experience with automation frameworks like Playwright, Selenium, or equivalent. Proficiency with Git and collaborative development workflows. Fast learner with excellent analytical and problem-solving skills. Strong communication skills and a proactive, ownership-driven mindset. Passion for building scalable, resilient systems in cloud environments. Can-doer that can take a task from plan to completion Team player, excellent communication, and presentation skill What Would Make You Stand Out? Experience with Big Data technologies such as Kafka, Flink, Spark Exposure to DevOps practices and tools like Jenkins, Terraform Background in data quality assurance and monitoring Experience with test management tools such as Jira, X-Ray, or similar What’s in it for you? Join an ever-growing, market-disrupting, global company where the teams – comprised of the best of the best – work in a fast-paced, collaborative, and creative environment! As the market leader, every day at NiCE is a chance to learn and grow, and there are endless internal career opportunities across multiple roles, disciplines, domains, and locations. If you are passionate, innovative, and excited to constantly raise the bar, you may just be our next NiCEr! Enjoy NiCE-FLEX! At NiCE, we work according to the NiCE-FLEX hybrid model, which enables maximum flexibility: 2 days working from the office and 3 days of remote work, each week. Naturally, office days focus on face-to-face meetings, where teamwork and collaborative thinking generate innovation, new ideas, and a vibrant, interactive atmosphere. Requisition ID: 8926   Reporting into: Group Lead, Engineering Role Type: Individual Contributor #LI-Hybrid About NiCE Actimize: NICE Actimize is the largest and broadest provider of financial crime, risk and compliance solutions for regional and global financial institutions, as well as government regulators. Consistently ranked as number one in the space, NICE Actimize experts apply innovative technology to protect institutions and safeguard consumers’ and investors’ assets by identifying financial crime, preventing fraud and providing regulatory compliance  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.