Find AI Work That Works for You

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About HandshakeHandshake is building the career network for the AI economy, backed by the largest and most trusted job network on the internet. As the only three-sided job marketplace connecting 18 million knowledge workers, 1,500 educational institutions, and 1 million employers, Handshake powers career discovery, hiring, and upskilling—from first internships to full-time roles, freelance work to gig work, and beyond.Founded in 2014, we’ve built the most trusted platform for early talent—owning the college-to-career market and powering nearly every career center. Today we’re building on that foundation to help students and early professionals upskill or reskill for the future.Now’s a great time to join Handshake. Here’s why:Category Leader: Over 92% coverage across US universities & 77% of total US university student population.Proven Market Demand: Deep employer partnerships across Fortune 500s and the world’s leading AI research labs.World-Class Team: Leadership from Scale AI, Open AI, xAI, Notion, Coinbase, and Palantir, just to name a few.Capitalized & Scaling: $434M raised with a $175M+ run rate.About the RoleThe Privacy and Compliance Program Manager plays a critical role in earning and maintaining the trust of our students, fellow, employers, and university partners worldwide. You will help design, operationalize, and scale our global privacy and data protection program, balancing regulatory compliance with business innovation and user experience. The Privacy and Compliance Program Manager will be a member of Handshake’s Legal team.Privacy Operations is a core part of Handshake’s Global Privacy Program, helping to ensure Handshake’s compliance with all privacy regulations that apply to our business world-wide. This roleThe successful candidate flourishes in a fast-paced, ambiguous and collaborative environment and is excited to solve complex problems.Manage privacy-driven programs end to end to ensure regulatory readiness and compliance with global privacy and data protection laws, including GDPR, CCPA, LGPD and other privacy regulations.Leverage deep privacy expertise to collaborate with Product, Security, and other cross-functional partners to identify, assess, and mitigate privacy risks across systems and processes.Lead vendor privacy reviews and support broader third-party risk management initiatives.Develop and maintain processes for data subject rights requests and cookie compliance.Conduct and oversee Privacy Impact Assessments and Data Protection Impact Assessments.Continuously improve user-facing workflows to ensure operational streamlining for existing and new privacy laws and regulations.Create and maintain internal and external documentation to provide scalable privacy support and resources.Support Handshake’s Compliance & Ethics Program, including AI governance, policy governance, training, monitoring activities, and third-party risk management.Prepare periodic reports for leadership on program effectiveness and key risk indicators.Be a strong advocate for a privacy mindset while working with product, engineering, and other internal teams.Desired CapabilitiesBachelor’s degreeHas 5+ years of demonstrated project management skills and a proven track record for operationalizing and scaling cross-functional organization-wide programs from the ground up in the privacy domain (GDPR, CCPA, LGPD and other privacy regulations).Has excellent collaboration, communication, and relationship building skills and the ability to convey complex ideas succinctly to all audiences.Has an analytical approach to decision-making. You are meticulous, objective and skilled at using metrics to drive decisions.Has strong research skills; able to analyze complex problems in order to identify root cause and trends; able to document complex narratives in a simplified way which are easy for others to use.Is confident making decisive judgement calls in the absence of fully complete information.Is comfortable working independently and collaborating with a distributed team.Is passionate about safeguarding student data while supporting seamless user experiences across our platform.Experience in a regulated industry or high-growth technology company.Familiarity with AI governance and emerging privacy standards related to machine learning and data ethics.Extra CreditCIPP, CIPM, or similar privacy certification.PerksHandshake delivers benefits that help you feel supported—and thrive at work and in life.The below benefits are for full-time US employees.🎯 Ownership: Equity in a fast-growing company💰 Financial Wellness: 401(k) match, competitive compensation, financial coaching🍼 Family Support: Paid parental leave, fertility benefits, parental coaching💝 Wellbeing: Medical, dental, and vision, mental health support, $500 wellness stipend📚 Growth: $2,000 learning stipend, ongoing development💻 Remote & Office: Stipends for home office setup, internet, commuting, and free lunch/gym in our SF office🏝 Time Off: Flexible PTO, 15 holidays + 2 flex days, winter #ShakeBreak where our whole office closes for a week!🤝 Connection: Team outings & referral bonusesExplore our mission, values, and comprehensive US benefits at joinhandshake.com/careers.

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About Conductor The rise of generative AI is fundamentally changing how people search for information and discover brands online. Conductor is the only end-to-end, AI-first platform that enables enterprises to create high-performing, valuable content at scale and ensure their brand is found everywhere customers are looking—from Google to generative AI engines like ChatGPT. Recognized by Forrester as a Leader and #1 rated by customers on G2 and TrustRadius, we are committed to building a workplace where our people can grow and make a positive impact. Conductor is a mission-driven company with a commitment to innovation, customer success, and culture. For Conductor, success is improving the lives of everyone in our orbit—our customers, our customers' customers, our employee-owners, and our communities. About the Role As a Product Marketing Manager at Conductor, you will be a strategic partner to the business and the driving force behind our product launches. You’ll drive the execution of the go-to-market plan for one of our flagship products, from shaping the narrative to executing flawless launches. You’ll join our high-performing marketing team and partner closely with R&D, Sales, and Customer Success to translate customer needs into compelling messaging and content that drives real business impact. This is a unique opportunity to be at the forefront of an industry’s AI transformation, see your impact across every department, and help define what best-in-class marketing looks like in the age of AI. What Success Looks Like (Your First 90 Days) In your first 30 days (Learn & Connect): You will focus on building foundational knowledge around our market, product, and audiences. You’ll meet with key partners in Product, Sales, and Customer Success, dive deep into our customer feedback and market research, and get hands-on with the Conductor platform to become a power user. In your first 60 days (Analyze & Contribute): You will move from learning to doing. You’ll partner on your first feature release, conduct a fresh competitive analysis for your product area, and draft your first pieces of messaging and sales collateral. You will start identifying gaps and opportunities in our current go-to-market strategy. In your first 90 days (Own & Execute): You will begin to take true ownership. You will be actively driving the go-to-market plan for a major upcoming launch, leading cross-functional planning meetings, and presenting your launch plan and recommendations to marketing leadership. You'll start establishing yourself as the go-to expert for your product area. What You'll Do (Responsibilities) End-to-End Go-to-Market: Develop and execute comprehensive go-to-market strategies for your product area, from strategic positioning and messaging to launch execution and sales enablement. Partner on the Product Roadmap: Partner with Product and R&D to manage and communicate the external-facing product roadmap, ensuring internal teams and customers are aligned on our future direction. Create Compelling Content & Collateral: Create and repurpose a wide range of high-impact materials—including web copy, datasheets, product demo videos, case studies, and competitive guides—to support the entire customer journey.   Educate and Enable Teams: Create effective sales enablement materials to empower our Sales and Customer Success teams with the knowledge and materials they need to win.   Be the Voice of the Customer: Translate deep customer insights and market data into a compelling narrative and clear value propositions that resonate in the market.   Measure and Analyze Impact: Track, analyze, and report on the impact of product marketing initiatives, using data to inform our strategy and demonstrate business impact to stakeholders.   What You'll Bring (Qualifications) Minimum 4-6 years of relevant experience in product marketing, brand strategy, or agency/consulting roles. Experience working in B2B SaaS; experience working on AI products and/or MarTech products preferred.   Track record of executing successful feature and product launches end-to-end. A proven ability to turn complex concepts into clear, compelling messaging and effective collateral that stands out in the market.   Project management and collaboration skills in a high-paced, cross-functional environment. Excellent hands-on skills, including compelling copywriting, building impactful presentations (e.g., Google Slides, PowerPoint), and experience with project management tools (e.g., Asana, Jira). Basic familiarity with design (e.g., Figma, Canva), product analytics (Heap, Pendo), and data analysis tools (e.g., Looker, Excel) is a plus. Team player - has a deep sense of curiosity and a proactive, collaborative spirit. ___________________________________________________________________________________________________________________________ Compensation: Conductor maintains competitive, performance-based compensation programs.  The NYC base salary range for this role is currently $110,000-$135,000 per year. Placement within that range will be dependent on experience. Conductor offers the following attractive benefits including: 100% covered employee medical plan, a dental & vision plans, 401(k) with employer contribution, an unlimited vacation policy, 10 sick days, short-term disability, long-term disability, generous paid parental leave, employee assistance program, flexible savings accounts, paid holidays, life and accidental death insurance, and a host of perks. Conductor LLC is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Bringing in diverse perspectives and challenging our assumptions is the clear key to growth; it drives innovation, creativity, faster problem-solving, and stronger decision making. All aspects of employment including the decision to hire, promote, train, discipline, or discharge, will be based on merit, competence, performance, and business needs.  Conductor does not discriminate against any employee or applicant on the basis of race, color, ancestry, national origin, religion or religious creed, mental or physical disability, medical condition, genetic information, sex (including pregnancy, childbirth, and related medical conditions), sexual orientation, gender identity, gender expression, age, marital status, military or veteran status, or other characteristics protected by state or federal law or local ordinance.  In addition, it is the policy of Conductor to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations and ordinances where a particular employee works. Disclosure: Conductor cares about your privacy. We are committed to maintaining your trust by protecting and processing your Personal Information that you provide to us in accordance with Greenhouse's Privacy Policy. Please take a moment to review before submitting your application. https://www.conductor.com/legal/warning-fraudulent-job-offers-recruiting-scams/

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We’re hiring a Backend Engineer to scale the systems that power Antimetal’s investigation and automation engine.This role is core to our product. You’ll build core backend and platform services, design for scale, and ensure our foundation can support rapid product growth.About AntimetalAntimetal is building the future of infrastructure management. We're starting by creating a platform that investigates, resolves, and prevents issues—giving engineers their time back to focus on what they do best: building great products.What You’ll Do:Own and scale Antimetal’s AI workflow engine, the system that ingests metrics, logs, traces, and code to run investigations and generate explainable outputs.Design and implement distributed services that orchestrate data pipelines, automate investigations, and enable incident response at scale.Model and optimize relational data in SQL to support high-throughput investigations and reporting.Harden the platform for reliability by improving performance, reducing failure modes, and ensuring the system scales with customer demand.Collaborate across product and infrastructure, translating ambiguous requirements into production-ready backend and platform features.Set engineering standards for writing, communication, and system design, influencing how the entire product is built.What you bring:4-8 years of engineering experience, with 2+ years in a hyperscaling environment, see a function scale seeing 1-2x OOMExperience building and scaling distributed systemsProven backend API/data services expertiseOncall experience with production systemsComfort with ambiguity and ownershipExcellent writing and communication skillsExpertise with TypeScript in production environmentsBonus:Background in observability, monitoring, or incident responseExposure to AI/ML systemsExperience at early-stage startups building dev toolsExperience working on product without a product managerWho you are:Identify as a builder.Are excited to work in-person from our new and spacious office in New York.Love working in a startup environment (experience in a startup or obsession with going zero-to-one).Enjoy working with people who are ambitious, caring, and think in systems.Thrive in a fast-paced iterative environment where experimentation is essential.What we bring:Pay & ownership — Competitive salary with generous equity grants.Full coverage + retirement — Fully covered health, dental, and vision, plus retirement benefits.Unlimited PTO — Take the time you need to recharge.Dinner on late nights — Working late? Dinner is on us.Fitness stipend — Monthly support for your health and wellness.Tools of the trade — Any equipment you need to do your best work.Commute perks — Citi Bike + train benefits.Interview processApplication Review – Send us your stuff, and a quick note on why you're excited.Intro Chat: Share what you're looking for next and learn more about what we're building.Founder Interview: Talk with one of our founders in more detail about the roleTechnical Interview: We’ll have you complete a short exercise specific to the role.Onsite: Come onsite and meet the team through a series of 1:1 interviews.Decision – We’ll move fast.

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About UsAt Harmattan AI, we are a next-generation defense prime building autonomous and scalable defense systems. Driven by rigorous engineering developments of new defense products based on recent robotics and AI developments, we are on a steep growth trajectory. If you are interested in a career in a highly technical environment, thrive on pushing boundaries, and want to achieve ambitious goals, we would love to hear from you.About the RoleAs an Automation Software Engineer, you will play a key role in designing and developing the software that powers our automated testing and inspection platforms. Working within the R&D department, you will create robust, scalable automation tools that support both product development and manufacturing operations. Your primary focus will be software development for test automation, while also collaborating on mechanical and electrical integration aspects of test systems.ResponsibilitiesTest Automation Development – Design, implement, and maintain automated test and inspection software, primarily using Python.Data Acquisition & Analysis – Build tools for real-time data collection, visualization, and analysis to improve product validation and process efficiency.System Integration – Interface with sensors, cameras, motion controllers, and other hardware components to create fully automated testing workflows.Test Fixture Collaboration – Work with mechanical and electrical engineers to design and integrate physical test fixtures when needed.Cross-Team Collaboration – Partner with product development, manufacturing, and quality teams to deliver reliable and maintainable automation solutions.Candidate RequirementsMSc in Software, Electrical, Mechatronics, or related engineering field.Top level Python programming skills, including experience with automation frameworks, hardware communication protocols and data processing.Experience developing automated test systems, measurement setups, or manufacturing automation tools.Familiarity with version control (Git) and structured software development practices.Comfortable with CAD tools (SolidWorks, Onshape or similar).Comfortable performing soldering, wiring, and small-scale electrical circuit work for test system integration.Strong problem-solving skills and ability to design practical, robust engineering solutions.Excellent communication skills and proven ability to collaborate across multidisciplinary teams.Location and CommitmentsContract Type: Permanent contract (CDI)Work Schedule: Full-timeAvailability: ASAPLocation: ParisWe look forward to hearing how you can help shape the future of autonomous defense systems at Harmattan AI.

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About HappyRobotHappyRobot is the AI-native operating system for the real economy—a system that closes the circuit between intelligence and action. By combining real-time truth, specialized AI workers, and an orchestrating intelligence, we help enterprises run complex, mission-critical operations with true autonomy.Our AI OS compounds knowledge, optimizes at every level, and evolves over time. We’re starting with supply chain and industrial-scale operations, where resilience, speed, and continuous improvement matter most—freeing humans to focus on strategy, creativity, and other high-value tasks. You can learn more about our vision in our Manifesto. HappyRobot has raised $62M to date, including our most recent $44M Series B in September 2025. Our investors include Y Combinator (YC), Andreessen Horowitz (a16z), and Base10—partners who believe in our mission to redefine how enterprises operate. We’re channeling this investment into building a world-class team: people with relentless drive, sharp problem-solving skills, and the passion to push limits in a fast-paced, high-intensity environment. If this resonates, you belong at HappyRobot.About the RoleThis role requires both strong technical skills and the ability to communicate effectively with a range of stakeholders. You’re a versatile engineer who thrives in a role that blends customer engineering with technical development. You will work closely with our customers from onboarding through to their ongoing use of Happyrobot's AI platform, ensuring they maximize the value of our solutions.Tech ProfileComfortable Full-Stack: React, TypeScript, Node.js.Strong proficiency in Python with hands-on experience.Experience building AI/ML applications.Manage APIs and other tools for robust integration with various third-party systems.LLM prompting and tuning of voices and transcribers. Constant iteration to perfect use cases.Building new features or entire MVPs.Must haveFluency in JapanaseAbility to prioritize and manage multiple projects under tight deadlines.Excellent communication skills and the ability to explain technical concepts clearly.Founder Mindset: Hard work + independence + ownership.Why join us?Opportunity to work at a high-growth AI startup, backed by top investors.Rapidly growing and backed by top investors including a16z, Y Combinator, and Base10.Ownership & Autonomy - Take full ownership of projects and ship fast.Top-Tier Compensation - Competitive salary + equity in a high-growth startup.Work With the Best - Join a world-class team of engineers and buildersOur Operating Principles Extreme Ownership We take full responsibility for our work, outcomes, and team success. No excuses, no blame-shifting — if something needs fixing, we own it and make it better. This means stepping up, even when it’s not “your job.” If a ball is dropped, we pick it up. If a customer is unhappy, we fix it. If a process is broken, we redesign it. We don’t wait for someone else to solve it — we lead with accountability and expect the same from those around us. Craftsmanship Putting care and intention into every task, striving for excellence, and taking deep ownership of the quality and outcome of your work. Craftsmanship means never settling for “just fine.” We sweat the details because details compound. Whether it’s a product feature, an internal doc, or a sales call — we treat it as a reflection of our standards. We aim to deliver jaw-dropping customer experiences by being curious, meticulous, and proud of what we build — even when nobody’s watching. We are “majos” Be friendly & have fun with your coworkers. Always be genuine & honest, but kind. “Majo” is our way of saying: be a good human. Be approachable, helpful, and warm. We’re building something ambitious, and it’s easier (and more fun) when we enjoy the ride together. We give feedback with kindness, challenge each other with respect, and celebrate wins together without ego. Urgency with Focus Create the highest impact in the shortest amount of time. Move fast, but in the right direction. We operate with speed because time is our most limited resource. But speed without focus is chaos. We prioritize ruthlessly, act decisively, and stay aligned. We aim for high leverage: the biggest results from the simplest, smartest actions. We’re running a high-speed marathon — not a sprint with no strategy. Talent Density and Meritocracy Hire only people who can raise the average; ‘exceptional performance is the passing grade.’ Ability trumps seniority. We believe the best teams are built on talent density — every hire should raise the bar. We reward contribution, not titles or tenure. We give ownership to those who earn it, and we all hold each other to a high standard. A-players want to work with other A-players — that’s how we win. First-Principles Thinking Strip a problem to physics-level facts, ignore industry dogma, rebuild the solution from scratch. We don’t copy-paste solutions. We go back to basics, ask why things are the way they are, and rebuild from the ground up if needed. This mindset pushes us to innovate, challenge stale assumptions, and move faster than incumbents. It’s how we build what others think is impossible.The personal data provided in your application and during the selection process will be processed by Happyrobot, Inc., acting as Data Controller.By sending us your CV, you consent to the processing of your personal data for the purpose of evaluating and selecting you as a candidate for the position. Your personal data will be treated confidentially and will only be used for the recruitment process of the selected job offer.In relation to the period of conservation of your personal data, these will be eliminated after three months of inactivity in compliance with the GDPR and legislation on the protection of personal data.If you wish to exercise your rights of access, rectification, deletion, portability or opposition in relation to your personal data, you can do so through security@happyrobot.ai subject to the GDPR.For more information, visit https://www.happyrobot.ai/privacy-policyBy submitting your request, you confirm that you have read and understood this clause and that you agree to the processing of your personal data as described.

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About H: H exists to push the boundaries of superintelligence with agentic AI. By automating complex, multi-step tasks typically performed by humans, AI agents will help unlock full human potential.H is hiring the world’s best AI talent, seeking those who are dedicated as much to building safely and responsibly as to advancing disruptive agentic capabilities. We promote a mindset of openness, learning, and collaboration, where everyone has something to contribute.About the Team:The Product Engineering Team is committed to ensuring the successful implementation and operation of our Agents and Inference platforms, including ancillary services, which serve the needs of our Research department and act as a foundation for agentic products and services we take to market.Key Responsibilities:Define and lead technical architecture, design, and long-term engineering roadmap.Develop and maintain complex, high-performance, and scalable systems.Mentor and guide engineers across multiple teams, fostering technical excellence.Conduct thorough code and design reviews, ensuring quality and security best practices.Collaborate with Research, Engineering, and other stakeholders to deliver impactful solutions.Drive improvements in system reliability, scalability, and observability.Establish and enforce engineering standards, tooling, and processes.Champion technical innovation and proactively address technical debt.Requirements:Technical skills:Previous demonstrable role(s) as Senior Software Engineer with relevant set of responsibilities and achievementsStrong 5+ years of experience in Python backend development (Flask, Django, FastAPI or similar)In-depth experience with distributed systems or cloud computing, preferably in AWSExperience building and shipping end to end solutionsExperience building APIs (REST and/or GraphQL) and integrating with external services.Expertise in relational and non-relational databasesExperience working with message queueing technologies (SQS/RabbitMQ/Kafka/etc.)Solid understanding of coding standards, architectural patterns and test frameworksExpertise in instrumentation, observability and monitoringSoft skills:Mentorship & Influence - You inspire and elevate engineers across teams - you are a true force multiplier.Cross-Functional Communication - You communicate effectively with engineers and business leaders, switching between technical and business contexts.Technical Leadership – You are able to guide teams through complex technical decisions, balancing short-term delivery with long-term architectural health.Location:Paris or London.This role is hybrid, and you are expected to be in the office 3 days a week on average.Please expect some travel between offices on a reasonable cadence (e.g., every 4-6 weeks).What We Offer:Join the exciting journey of shaping the future of AI, and be part of the early days of one of the hottest AI startups.Collaborate with a fun, dynamic, and multicultural team, working alongside world-class AI talent in a highly collaborative environment.Enjoy a competitive salary.Unlock opportunities for professional growth, continuous learning, and career development.If you want to change the status quo in AI, join us.

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Our PurposeAt Fiddler, we understand the implications of AI and the impact that it has on human lives. Our company was born with the mission of building trust into AI. The rise of Generative AI and Agents has unlocked generalized intelligence but also widened the risk aperture and made it harder to ensure that AI applications are working well. Fiddler enables organizations to get ahead of these issues by helping deploy trustworthy, and transparent AI solutions. Fiddler partners with AI-first organizations to help build a long-term framework for responsible AI practices, which, in turn, builds trust with their user base. AI Engineers, Data Science, and business teams use Fiddler AI to monitor, evaluate, secure, analyze, and improve their AI solutions to drive better outcomes. Our platform enables engineering teams and business stakeholders alike to understand the "what", “why”, and "how" behind AI outcomes.  Our FoundersFiddler AI is founded by Krishna Gade (engineering leader at Facebook, Pinterest, Twitter, and Microsoft) and Amit Paka (product leader at Microsoft, Samsung, Paypal and two-time founder). We are backed by Insight Partners, Lightspeed Venture Partners, and Lux Capital. Why Join UsOur team is motivated to help build trust into AI to enable society harness the power of AI. Joining us means you get to make an impact by ensuring that AI applications at production scale across industries have operational transparency and security.  We are an early-stage startup and have a rapidly growing team of intelligent and empathetic doers, thinkers, creators, builders, and everyone in between. The AI and ML industry has a rapid pace of innovation and the learning opportunities here are monumental. This is your chance to be a trailblazer.  Fiddler is recognized as a pioneer in the field of AI Observability and has received numerous accolades, including:  2022 a16z Data50 list, 2021 CB Insights AI 100 most promising startups, 2020 WEF Technology Pioneer, 2020 Forbes AI 50 most promising startups of 2020, and a 2019 Gartner Cool Vendor in Enterprise AI Governance and Ethical Response. By joining our brilliant (at least we think so) team, you will help pave the way in the AI Observability space.👩🏽‍🚀 The Mission:Our Staff Backend Engineers make a real impact on the safety and ROI of large language models and agentic applications across different verticals and domains. You will work on the cutting edge of envisioning and building new types of tools and algorithms to monitor, explain, and improve such applications and in turn empower our customers.🪐 About The Team:Our engineering team is a dynamic group of builders and thinkers dedicated to solving some of the most cutting-edge challenges in AI safety and reliability. Working on exciting and an expansive range of topics, from the responsible deployment of machine learning models, large language models (LLMs), to complex agentic applications. Our projects are inherently cross-disciplinary, requiring expertise in systems engineering, product engineering, and data science to build robust, scalable solutions. We thrive in a collaborative environment where continuous learning is at the forefront, ensuring every team member stays on their toes with the latest advancements in AI. Joining our team means you'll have the opportunity to make a tangible impact on how AI evolves for the benefit of humanity. 🚀 What You’ll Do:Design and build core services and components of a world-class cloud platform to help enterprises develop, monitor and improve their full suite of AI based applications (covering predictive models, LLMs, GenAI models and agentic applications)Lead the design and implementation of distributed systems and microservices that compute, persist, and expose new ML + agentic observability metrics (e.g., response relevancy, hallucination scores) from raw trace dataDesign enterprise-grade, scalable data infrastructure, services and APIs to support enterprise scale workloads and meet compliance needs and SLAsSpearhead the development of new types of metrics and evaluation capabilities to satisfy evolving customer needs. Take part in conversations with customers around discovery and supportDefine and evolve the operational maturity (reliability, latency, SLOs, observability) of core services, establish best practices and champion improvements to internal CI/CD processes, testing frameworks, error handling, efficiency and resiliencyTeam & Culture Building: you will take an active role in building a world-class engineering team and actively participate in the talent acquisition process through interviewing, candidate evaluation and coaching 🎯 What We’re Looking For:Masters or Bachelors degree in Computer Science or related field, combined with 7+ years of industry experience, with demonstrated solid foundation in software development.Deep proficiency with Python and a strong command of essential backend technologies like Postgres, Redis, Kafka, RabbitMQ, Ray. This includes the ability to design, build, and debug complex, large-scale systems.Experience with deploying and working with ML/LLM models in production. The candidate should be comfortable with modern LLM frameworks (e.g., Langchain, HuggingFace, vLLM) and evaluation frameworks (e.g., Ragas, MLFlow) to ensure model performance and reliability.Adaptability & Ownership: proven ability to thrive in ambiguity and a fast-paced environment. We need a self-motivated initiator who can take ownership of projects with a high degree of autonomy, confidently filling in the gaps when the full picture isn't available.System Design & Optimization: A strong grasp of distributed systems and the capacity to troubleshoot production issues. A nice to have would be experience with cloud infrastructure (AWS/GCP, Kubernetes) and specialized databases (Clickhouse/Druid), indicating a deeper understanding of system architecture and performance optimization.Technical Leadership & Collaboration: Demonstrated ability to plan, execute, and deliver projects by effectively breaking down complex problems into manageable tasks, and guiding a small team of engineers. Must be adept at cross-functional collaboration across a geographically distributed team, working closely with product managers, designers, frontend developers, and data scientists to ensure alignment and successful project outcomesCoaching & Mentorship: you should be an excellent collaborator and a mentor to other team members, raising the technical bar for the entire team and regularly engage in code and design reviews.Ability to work in our Palo Alto office 3 days a week🫱🏼‍🫲🏾 Compensation: $190,000 - $300,000 + equity + benefitsThe posted range represents the expected salary range for this job requisition and does not include any other potential components of the compensation package and perks previously outlined. Ultimately, in determining pay, we'll consider your experience, leveling, location, and other job-related factors.Fiddler is proud to be an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. If you require special accommodations in order to complete the interviews or perform job duties, please inform the recruiter at the beginning of the process.Beware of job scam fraud. Our recruiters use @fiddler.ai email addresses exclusively. In the US, we do not conduct interviews via text or instant message, or ask for sensitive personal information such as bank account or social security numbers.

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About UsTavus is a research lab pioneering human computing. We’re building AI Humans: a new interface that closes the gap between people and machines, free from the friction of today’s systems. Our real-time human simulation models let machines see, hear, respond, and even look real—enabling meaningful, face-to-face conversations. AI Humans combine the emotional intelligence of humans with the reach and reliability of machines, making them capable, trusted agents available 24/7, in every language, on our terms.Imagine a therapist anyone can afford. A personal trainer that adapts to your schedule. A fleet of medical assistants that can give every patient the attention they need. With Tavus, individuals, enterprises, and developers can all build AI Humans to connect, understand, and act with empathy at scale.We’re a Series A company backed by world-class investors including Sequoia Capital, Y Combinator, and Scale Venture Partners.Be part of shaping a future where humans and machines truly understand each other.The Role We’re looking for an AI Researcher to join our core AI team and push forward the science of audio-visual avatar generation. If you thrive in high-speed startup environments, enjoy experimenting with generative models, and love seeing your research ship into production then you’ll feel right at home.Your Mission 🚀Research and develop audio-visual generation models for conversational agents (e.g. Neural Avatars, Talking-Heads).Focus on models that are tightly coupled with conversation flow, ensuring verbal and non-verbal signals work seamlessly together.Experiment with diffusion models (DDPMs, LDMs, etc.), long-video generation, and audio generation.Collaborate with the Applied ML team to bring your research into real-world production.Stay ahead of the latest advancements in multimodal generation — and help shape the next wave.You’ll Be Great At This If You Have:A PhD (or near completion) in a relevant field, or equivalent hands-on research experience.Experience applying image/video generation models in practice.Strong foundations in generative modeling and rapid prototyping.Deep familiarity with diffusion models, including recent advances in efficiency.Good understanding of video-language models and multimodal generation.Proficiency in PyTorch and GPU-based inference.Nice-to-HavesExperience with long-video or audio generation.Skills in 3D graphics, Gaussian splatting, or large-scale training setups.Broader exposure to generative models and rendering.Familiarity with software engineering best practices.Publications in top-tier or respected venues (CVPR, NeurIPS, BMVC, ICASSP, etc.).Location Preferred: San Francisco (hybrid) or London (office opening soon). Remote within U.S. or Europe available for exceptional candidates.

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We are an applied AI lab building end-to-end software agents.We’re the makers of Devin, the first AI software engineer. Cognition is building collaborative AI teammates that enable engineers to focus on more interesting problems and empower engineering teams to strive for more ambitious goals.Our team is small and talent-dense. Among our founding team, we have world-class competitive programmers, former founders, and leaders from companies at the cutting edge of AI—including Scale AI, Cursor, Waymo, Tesla, Lunchclub, Modal, Google DeepMind, and Nuro.Building Devin is just the first step—our hardest challenges still lie ahead. If you’re excited to solve some of the world’s biggest problems and build AI that can reason through real-world tasks, apply to join us.About the RoleCognition’s AI Enablement Engineers help teams adopt Devin and integrate agentic workflows into their day-to-day development. They combine deep technical expertise, consulting intuition, and a teacher’s mindset to guide teams through real work—building software alongside them while teaching how to use Devin to do the same.As one of the first AI Enablement Engineers, you’ll also play a key role in shaping how the program scales globally—turning individual training engagements into repeatable playbooks, digital learning content, and partner-driven enablement models that allow Cognition to reach hundreds of thousands of engineers worldwide. You’ll help define how AI Enablement becomes a product in itself: structured, measurable, and continuously improving in impact.This role is perfect for someone who has strong engineering fundamentals, enjoys working directly with customers, and finds deep satisfaction in teaching others and unlocking their potential—while also thinking systematically about how to scale those learnings to the next 100 teams.In this role, you will:Lead interactive programs for enterprise engineering teams (live workshops, pair programming sessions)Guide customers through installing, configuring, and optimizing Devin and its associated tools (DeepWiki, MCP integrations, etc.)Pair-program with engineers at varying experience levels, helping them build, debug, and automate real projectsIdentify high-ROI workflows for Devin across engineering, QA, support, data, and product teamsCreate enablement materials, best practices, and shared playbooks based on customer learningsWork with leadership to scale AI Enablement into a repeatable and productized offering—through digital learning content, partner certifications, and scalable training modelsCollaborate with Cognition Engagement Managers and Engineering teams to continuously refine onboarding and provide feedback on new featuresRequirements for the Role:Degree in a STEM field or equivalent hands-on experience8+ years as a software engineer or technical consultant with strong coding proficiency (Python, JavaScript/TypeScript, or similar)Proven ability to communicate complex technical topics to diverse audiencesStrong customer-service orientation and ability to thrive in interactive, people-facing environmentsExcellent verbal and written communication skillsDemonstrated ability to learn and adapt exceptionally fastYou might excel if you…Have experience leading technical workshops, internal enablement programs, or developer onboarding initiativesHave deployed or integrated LLM or agent-based systems in production settingsAre energized by teaching, coaching, and helping others reach “aha” momentsHave previously founded or joined early-stage startups where autonomy and execution speed were critical

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Location 📍: Sydney, Australia (Hybrid - 3 days in office per week)About Us 🚀At Relevance AI, we’re building the home of the AI workforce, a new generation of automation built for real work. Our mission is simple: empower every team to delegate meaningful work to AI agents that think, act, and collaborate like experts. With Relevance AI, anyone can create and manage intelligent agents that handle workflows, decisions, and cross-team collaboration, all within one unified platform. Today, our technology powers leading companies including Canva, Databricks, Confluent, Autodesk, Lightspeed, Rakuten, Aveva, Qualified, and Activision Blizzard, helping them scale excellence across operations, marketing, and sales. We’re backed by world-class investors: Bessemer Venture Partners, Insight Partners, Peak XV, and King River Capital, and we raised our Series B in April 2025 to accelerate our mission and push the boundaries of agentic automation. Headquartered in San Francisco and Sydney, and soon opening our new office in Barcelona, we operate on a hybrid model (three in-office days per week). We’re a high-momentum team that thrives on curiosity, collaboration, and execution. We move fast, think big, and win together. This year, we were proud to be named LinkedIn’s #1 Startup in Australia. If you’re excited to define how the world works with AI and want to build the technology powering the next generation of intelligent workforces, join us.The Role 🥳We’re hiring for a new type of engineer at Relevance AI. We’re looking for UX/ UI specialists and builders who care deeply about building intuitive, user-friendly, and highly polished experiences. You’ll lead initiatives across the design lifecycle to conduct user research, rapidly prototype as well as implement elegant UI in code to accelerate delivery - owning components and interactions in production. If you identify more as a product designer who codes or a front-end engineer with strong UX/ UI design instincts, you’ll thrive in this role.Think: mapping an agent-building flow in the morning, prototyping in Figma at lunch, and pushing a polished front-end experience to production by afternoon - instrumented, accessible, and measurable. You’ll get to craft beautiful experiences across our agent building and orchestration platform, making powerful AI feel intuitive, transparent, and trustworthy.Your impact💥Collaborate closely with Product, Design, and Engineering to implement highly responsive, visually appealing and functional user interfaces while maintaining design fidelity.Build reusable front-end components and maintain our design systems, UI libraries, and front-end components to ensure consistency and scalability.Conduct user experience testing and iterate designs based on user feedback and analytics.Review designs for technical feasibility and propose solutions that balance UX and engineering constraints.Champion a high bar for UI/UX and mentor others on best practices, latest trends and coding standards.Our Tech Stack (so far) 💻We leverage a modern, scalable, and developer-friendly technology stack to build robust web applications:Frontend: Vue.js, Nuxt, TypescriptBackend: Express.js, Node.js, Typescript, PythonDatabase: MongoDB, PostgreSQLCloud & Deployment: Vercel, AWSWhat We’re Looking For 🧠Strong front-end development and UX/UI background with experience building for complex platforms (e.g., no-code tools, automation software, or enterprise SaaS).Proficiency in HTML5, CSS3, and JavaScript, with hands-on experience across a range of front-end tooling (e.g., npm, Webpack, Tailwind, Redux, Jest) and familiarity with modern frameworks such as React, Angular, or Vue.Experience creating and maintaining design systems, reusable components, and UI libraries.A proven track record of tackling challenging product designs and taking ownership of initiatives from user research to concept/ mock-up through to production.Strong visual design sense and a passion for building highly responsive, performant user interfaces.Thrive in dynamic, high-performance start up settings and comfortable with ambiguity, rapid iteration, and taking initiative.Regularly leverage AI tools and technologies in your workflow, and stay up-to-date with the latest advancements to boost productivity and innovation.Why Join Us? 🌟Work at the forefront of AI with a nimble team that is constantly pushing boundaries. We encourage and celebrate ideas that drive our mission forward.We're guided by our five values: truth-seeking, being empathetic, putting the customer first, iterate extremely fast, and building memories.We’ve set high standards in our high-trust, low-ego environment. We hire exceptional people to do the best work of their lives. In return, we reward our people with competitive salaries, equity stake, unparalleled professional growth, and career-defining opportunities.Relevance AI is well-funded by leading investors, including Bessemer Venture Partners, Insights Partners, Peak XV, and King River Capital.As an early team member, you’ll play a key role in shaping our future—including our culture, ways of working, and even the benefits we offer. We’re laying the foundations now, and your ideas can help define what comes next.Benefits ✨📈 ESOP – Employee Stock Ownership Plan so you can grow with the company🤖 AI Productivity Benefit – Get up to $1200 USD/year to spend on AI tools, courses, and learning resources that help you work smarter and grow your skills👶 Parental Leave – 12 weeks of paid parental leave for all eligible new parents, plus an additional 6 weeks for the birthing parent🎉 Milestone Merch – Celebrate your work anniversaries with customised Relevance AI swag🍽️ Team Meals & Snacks – Enjoy free breakfasts, healthy snacks, and a variety of team lunches throughout the week (including Thursday and Friday lunches, plus Uber Eats dinners and regular catered office meals)🪩 Quarterly Team Events – Build stronger connections through fun, meaningful team bonding experiences every quarter🏓 Social Clubs – Share your hobbies and interests by joining or starting a club with your teammates. From hiking and chess to board game nights and social committee activities—there’s something for everyone!🌐 Community Events – As the home of the AI workforce, we regularly host events featuring thought leaders, industry partners, and the wider community—right at our office, so you can join straight after work🧠 Sonder EAP – Access 24/7 mental health and wellbeing support through Sonder, our Employee Assistance Program

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We’re looking for a design engineer to take ideas from rough sketches to production. You’ll play a key role in shaping entirely new interaction paradigms for understanding and controlling infrastructure. You’ll own the look, feel, and experience of Antimetal across our entire platform.About AntimetalAntimetal is building the future of infrastructure management. We're starting by creating a platform that investigates, resolves, and prevents issues—giving engineers their time back to focus on what they do best: building great products. What You’ll Do:Own the design system across Figma and code (React, Tailwind), keeping it robust and scalable.Ship pixel‑perfect interfaces with CSS.Take ideas from rough sketches to production-ready by partnering with design and engineering.Raise the bar on front‑end architecture and best practices.Define new interaction patterns for AI‑driven tools.What you bring:Experience working as a Design Engineer, frontend engineer with strong design skills, or designer with strong engineering skillsHighly proficient in React, Next.js, TypeScript, and Tailwind, with a strong grasp of modern frontend architecture, state management patterns, and performance optimization.Strong visual and interaction instincts—you care deeply about detail, motion, and making interfaces feel precise, responsive, and intentional.A fast, flexible prototyper who is equally comfortable exploring ideas in Figma, code, or AI tools, depending on what gets you to signal fastest.Hands-on with CSS animation, transitions, and layout techniques—skilled at crafting interfaces that move and respond with clarity and intent.A strong portfolio showcasing high-quality front-end development work.Comfortable in a fast-moving startup environment. You are quick to iterate, test ideas, and push toward outcomes.Bonus:GSAPR3F, Three.js, WebGLInfrastructure knowledge Who you are:Identify as a builderAre excited to work in-person from our new and spacious office in New YorkLove working in a startup environment (experience in a startup or obsession with going zero-to-one)Enjoy working with people who are ambitious, caring, and think in systemsThrive in a fast-paced iterative environment where experimentation is essentialWhat we bring:Pay & ownership — Competitive salary with generous equity grants.Full coverage + retirement — Fully covered health, dental, and vision, plus retirement benefits.Unlimited PTO — Take the time you need to recharge.Dinner on late nights — Working late? Dinner is on us.Fitness stipend — Monthly support for your health and wellness.Tools of the trade — Any equipment you need to do your best work.Commute perks — Citi Bike + train benefits. Interview processApplication Review – Send us your stuff, and a quick note on why you're excited.Intro Chat: Share what you're looking for next and learn more about what we're building.Founder Interview: Talk with our CTO Shreyas in more detail about the roleProduct engineering exercise: You will have a set amount of time to develop rough prototypes to explore ideas based on a problem we define together.Onsite: Come onsite and meet the team through a series of 1:1 interviews.Decision – We’ll move fast.

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About SolidroadBuilding something great is addictive. It’s like discovering your favorite TV show mid-season, except you're helping write the next episode. It’s like unboxing a new gadget, except you’re the one designing it. You shape how it feels, how it works, and how people react when they use it.At Solidroad we're solving a big, messy, exciting problem: how do you scale customer support without losing what makes humans amazing? Warmth, empathy, intuition. We’re using AI, generative tech, and real-time simulations to make this happen. It's ambitious, difficult, and genuinely new.About the roleWe’re looking for a Product Support Specialist who loves problem-solving, thrives in fast-moving environments, and takes pride in delivering exceptional customer experiences.You’ll be the first line of defense — and sometimes offense — when it comes to ensuring our customers get the most out of Solidroad. You’ll diagnose issues, triage bugs, and work closely with our Product and Engineering teams to close the loop fast. You’ll turn support data into insights that shape product decisions and help us deliver world-class reliability to world-class customers.This is a hands-on role for someone who wants to grow quickly, learn deeply, and have a tangible impact on both our users and our roadmap.What you'll actually do day-to-dayDevelop deep product expertise to troubleshoot and resolve customer issues across Slack, live chat, email, and video calls.Manage inbound support tickets and live chat with empathy, precision, and urgency.Own the escalation process — from identifying bugs to coordinating with Product and Engineering for resolution.Monitor and manage SLAs for response and resolution times, ensuring we meet or exceed expectations.Analyze recurring issues and surface insights that reduce future support volume and improve customer experience.Contribute to internal and external documentation, making it easier for customers (and teammates) to self-serve.Build product education video tutorials and support new customer onboarding. Collaborate cross-functionally to improve processes, close feedback loops, and keep customers delighted.Participate in incident reviews and advocate for long-term fixes, not just short-term patches.Our Team & CultureWe’re a small, focused group working full-time in our San Francisco office. We’re here five days a week because building something ambitious means collaborating closely, solving problems together, sharing ideas spontaneously, and occasionally challenging each other to padel matches, cold plunges, or karaoke evenings. We're intentional about creating a culture that's mature, supportive, and fun. You'll be joining experienced founders who've done this before, alongside a tight-knit team genuinely excited about building something impactful.We hope youHave 2–4 years of experience in Product Support, Technical Support, or Customer Success within a SaaS or AI-driven environment.Strong problem-solving skills — you love debugging, identifying patterns, and getting to the root cause.Excellent written and verbal communication skills. You can explain complex issues clearly to non-technical audiences.Calm under pressure — you handle live chats and escalations with composure and clarity.Analytical mindset — you use data to spot trends and opportunities for improvement.Highly organized, detail-oriented, and proactive. You don’t just close tickets; you close loops.Familiarity with tools like SQL, APIs, Intercom, or HubSpot is a plus.A natural curiosity about AI, customer experience, and how humans and machines can work better together.The good, the bad, and the honest truthThe highs are real: you’ll help world-class customers like Ryanair, ActiveCampaign, and Crypto.com get value from Solidroad every day. You’ll become an expert in AI, customer operations, and product reliability.The lows? It’s fast, it’s ambiguous, and things break sometimes. You’ll need grit, curiosity, and the ability to problem-solve across multiple fronts. But you’ll never be bored — and you’ll always be learning.

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Hi, we're The Browser Company 👋 and we're building a better way to use the internet. Browsers are unique in that they are one of the only pieces of software that you share with your parents as well as your kids. Which makes sense, they're our doorway to the most important things — through them we socialize with loved ones, work on our passion projects, and explore our curiosities. But on their own, they don’t actually do a whole lot, they’re kind of just there. They don’t help us organize our messy lives or make it easier to compose our ideas. We believe that the browser could do so much more — it can empower and support the amazing things we do on the internet. That’s why we’re building one: a browser that can help us grow, create, and stay curious. To accomplish this lofty task, we’re building a diverse team of people from different backgrounds and experiences. This isn’t optional, it’s crucial to our mission, as we need a wide range of perspectives to challenge our assumptions and shape our browser through a bold, creative lens. With that in mind, we especially encourage women, people of color, and others from historically marginalized groups to apply.About The RoleAs our founding ML Engineering Manager at the Browser Company, you’ll build our strategy and define how we incorporate ML to advance Dia’s product vision. The browser holds most of the context about your workday, from memory of the tasks you’re trying to accomplish to access to all of your web apps. We use ML and AI to turn that context into high‑utility experiences that feel personal and improve over time, grounded in capabilities like computer‑use, memory, and web‑app integrations.Dia’s Assistant doesn’t just execute actions, it also suggests and recommend tasks, and learns which choices drive real outcomes. We leverage modern training techniques such as SFT, RL, and GEPA to optimize these experiences while protecting privacy. To move fast and learn continuously, we’re building a first‑class ML developer environment: curated data pipelines, tight experiment loops, offline/online evals with telemetry, and one‑click deploys with strong observability.Our Management PhilosophyEngineering Managers at Browser Company are hands-on technical leaders who build high-performing and psychologically-safe teams with a diverse group of individuals. You’ll work closely with your team to make product decisions, prioritize work, ship features, and promote an engineering culture of knowledge sharing and mentorship. Engineering Managers follow the same onboarding pathway as an IC engineer to learn our product data, and build processes, then ramp into leadership. Overall you will...Define and build our ML strategy, sequencing bets that improve Dia’s assistant and measurable user outcomes. You’ll stay ahead of the latest AI advancements and translate them into strategic opportunities for Dia’s roadmap.Prototype, architect, and ship LLM‑powered features; establish techniques to train models that improve over time and personalize experiences, partnering with Design and Product Engineering to balance quality, speed, and scale for real‑world use.Audit and evolve the ML stack and infrastructure - spanning Swift for on-device inference and Python for models and tooling - to support both encoder and decoder model families across client and server. Over time, scale the system using fine-tuned open-source LLMs.Partner on privacy and security by working with Security and Infra on data stewardship, deployment strategies, and responsible scaling. Establish ML Developer Experience by building tooling and workflows for high quality data curation, experimentation (fine-tuning, RL, prompting), evals, and continuous training to improve the models that power Dia.Support and build a talented team of machine learning engineers, helping them grow both technically and with a product mindset through fast iteration cycles. You’ll play a key role in contributing across the engineering org as we scale—owning processes, recruiting, and onboarding—and proactively improve architecture and practices to enhance performance, stability, and maintainability.Technical Projects You’ll Shape With Us…Browser context engine: learn a unified embedding space that fuses app integrations, enterprise connectors, and on-device signals to enable low-latency retrieval, routing, and personalizationPersonalize the command bar: develop ranking, intent understanding, and context-aware suggestions; fine-tune and evaluate models to measurably boost relevance and engagementEvolve our data flywheel by defining how we instrument product signals, design collection/storage pipelines, create labeling/evaluation loops, and continuously retrain to improve feature quality and personalization Qualifications6+ years of experience training, optimizing, and productionizing modern ML models, especially ones that run in a real-world product environment (bonus if you’ve worked closely with transformer models)3+ years mentoring and leading senior engineers with a track record of tech-leading critical work and setting a sustainable execution pace. You're able to execute on critical projects, own large, complex codebases and drive initiatives within your team.You love to keep up with the latest advancements in AI and are excited to apply the latest models and techniques to push the boundaries of what's possible in a browserYou have production experience with Python and have experience fine-tuning open-source LLMs and going beyond simple LoRA fine-tuningYou’re pragmatic, motivated by nebulous problems, and excited to work in a startup environment with quick product validation cycles.We’re primarily focused on hiring in North American time zones and require that folks have 4+ hours of overlap time with team members in Eastern Time Zone.Compensation and BenefitsOur total compensation package for full-time employees includes base salary, equity, and benefits. The annual salary range for this role is $300,000- $360,000 USD. The actual salary offered will vary based on experience level and interview performance.Benefits: We also offer a wide range of perks and benefits designed to support you, your family and to help you engage with your local community. To learn more, visit go.atlassian.com/perksandbenefits.Location: We’re a remote-friendly company and can hire in any country where Atlassian has a legal entity. If you live in New York (or want to visit), you’re welcome to work from our beautiful office in Williamsburg.The Browser Company is a well-funded, ambitious startup of close to 100 people (and growing!) who are passionate about building great products. We are a remote-first, distributed team, with the option to work from office in Brooklyn, New York. We strongly support diversity and encourage people from all backgrounds to apply.  🚙 To read more about what we value as a company, check out Notes on Roadtrips on our blog.

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Location 📍: Sydney, Australia (Hybrid - 3 days in office per week)About Us 🚀At Relevance AI, we’re building the home of the AI workforce, a new generation of automation built for real work. Our mission is simple: empower every team to delegate meaningful work to AI agents that think, act, and collaborate like experts. With Relevance AI, anyone can create and manage intelligent agents that handle workflows, decisions, and cross-team collaboration, all within one unified platform. Today, our technology powers leading companies including Canva, Databricks, Confluent, Autodesk, Lightspeed, Rakuten, Aveva, Qualified, and Activision Blizzard, helping them scale excellence across operations, marketing, and sales. We’re backed by world-class investors: Bessemer Venture Partners, Insight Partners, Peak XV, and King River Capital, and we raised our Series B in April 2025 to accelerate our mission and push the boundaries of agentic automation. Headquartered in San Francisco and Sydney, and soon opening our new office in Barcelona, we operate on a hybrid model (three in-office days per week). We’re a high-momentum team that thrives on curiosity, collaboration, and execution. We move fast, think big, and win together. This year, we were proud to be named LinkedIn’s #1 Startup in Australia. If you’re excited to define how the world works with AI and want to build the technology powering the next generation of intelligent workforces, join us.The Role 🥳We’re hiring for a new type of engineer at Relevance AI. We’re looking for product-minded builders who love to own a customer problem end-to-end; discovering needs, shaping the solution, and shipping working software. If you identify more as a product manager who codes or an engineer with strong product instincts - you’ll thrive in this role. Expect to prototype quickly, write production-grade code, define success metrics, and iterate fast with real users.You’ll sit at the intersection between Product and Engineering, working cross-functionally and spending meaningful time with customers to turn ideas into delightful, high-performing features that would unlock real customer value. Expect your days to be varied, solving novel problems. You’ll switch fluidly between user interviews, product specs, and writing code.Your impact💥Lead zero-to-one development of new features and product improvements from problem discovery to launch and iteration.Build functional prototypes and ship production-grade features, integrating LLMs, APIs, tools, and data sources.Translate customer insights into crisp product requirements, specs, and success metrics.Design and run experiments (A/B, feature flags) to validate hypotheses and drive measurable outcomes.Partner with internal teams and customers to co-create solutions; turn high-signal feedback into roadmap priorities.Contribute to internal tools, documentation, and playbooks that accelerate how we ship.Champion a high bar for UX, performance, and developer ergonomics across the platform.Our Tech Stack (so far) 💻We leverage a modern, scalable, and developer-friendly technology stack to build robust web applications:Frontend: Vue.js, Nuxt, TypescriptBackend: Express.js, Node.js, Typescript, PythonDatabase: MongoDB, PostgreSQLCloud & Deployment: Vercel, AWSWhat We’re Looking For 🧠Experience across the product and software development lifecycle, with either a background in product management, software engineering or mixture of related roles.Regularly leverage AI coding tools and technologies in your workflow, and stay up-to-date with the latest advancements to boost productivity and innovation.Comfort operating across the stack of product work: user research and customer discovery, specs, product tradeoffs, technical constraints, launch, and post-launch optimization.Comfort with modern programming languages and frameworks (Typescript + Node.js preferred), or a proven ability to quickly master new technologies.A track record of owning outcomes, not just tickets - shipping features that moved metrics.Thrive in dynamic, high-performance start up settings and comfortable with ambiguity, rapid iteration, and taking initiative.Deep interest in AI and excitement to build innovative, category-defining products.Why Join Us? 🌟Work at the forefront of AI with a nimble team that is constantly pushing boundaries. We encourage and celebrate ideas that drive our mission forward.We're guided by our five values: truth-seeking, being empathetic, putting the customer first, iterate extremely fast, and building memories.We’ve set high standards in our high-trust, low-ego environment. We hire exceptional people to do the best work of their lives. In return, we reward our people with competitive salaries, equity stake, unparalleled professional growth, and career-defining opportunities.Relevance AI is well-funded by leading investors, including Bessemer Venture Partners, Insights Partners, Peak XV, and King River Capital.As an early team member, you’ll play a key role in shaping our future—including our culture, ways of working, and even the benefits we offer. We’re laying the foundations now, and your ideas can help define what comes next.Benefits ✨📈 ESOP – Employee Stock Ownership Plan so you can grow with the company🤖 AI Productivity Benefit – Get up to $1200 USD/year to spend on AI tools, courses, and learning resources that help you work smarter and grow your skills👶 Parental Leave – 12 weeks of paid parental leave for all eligible new parents, plus an additional 6 weeks for the birthing parent🎉 Milestone Merch – Celebrate your work anniversaries with customised Relevance AI swag🍽️ Team Meals & Snacks – Enjoy free breakfasts, healthy snacks, and a variety of team lunches throughout the week (including Thursday and Friday lunches, plus Uber Eats dinners and regular catered office meals)🪩 Quarterly Team Events – Build stronger connections through fun, meaningful team bonding experiences every quarter🏓 Social Clubs – Share your hobbies and interests by joining or starting a club with your teammates. From hiking and chess to board game nights and social committee activities—there’s something for everyone!🌐 Community Events – As the home of the AI workforce, we regularly host events featuring thought leaders, industry partners, and the wider community—right at our office, so you can join straight after work🧠 Sonder EAP – Access 24/7 mental health and wellbeing support through Sonder, our Employee Assistance Program

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FECSQ426R273 This role can be based in either Berlin, Munich or remotely in Germany. At Databricks, we are on a mission to empower our customers to solve the world's toughest data problems by utilizing the the Databricks Data Intelligence Platform. As a Delivery Solutions Architect (DSA), you will play an important role during this journey. You will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks platform in your customers. You will also help ensure customer success by increasing focus and technical accountability to our most complex customers who need guidance to accelerate usage on Databricks workloads that they have already selected, helping them maximise the value they get of our platform and the return on investment. This is a hybrid technical and commercial role. It is commercial in the sense that you will drive growth in your assigned customers and use cases through leading your customers' stakeholders, building executive relationships, orchestration of other focused/specialized teams within Databricks, and creating and driving plans and strategies for Databricks colleagues to build upon. This is in parallel to being technical, with expectations being that you become the post-sale technical lead across all Databricks products. This requires you to use your skills and technical credibility to engage and communicate at all levels with an organisation. You will report directly to a DSA Manager within the Field Engineering organization.  The impact you will have: Engage with Solutions Architects to understand the full use case demand plan for prioritised customers Lead the post-technical win technical account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts Be the accountable technical leader assigned to specific use cases and customer(s) across multiple selling teams and internal stakeholders, creating certainty from uncertainty and driving onboarding, enablement, success, go-live and healthy consumption of the workloads where the customer has made the decision to consume Databricks Be the first contact for any technical issues or questions related to production/go live status of agreed upon use cases within an account, oftentimes services multiple use cases within the largest and most complex organizations Leverage both Shared Services, User Education, Onboarding/Technical Services and Support resources, along with escalating to expert level technical experts to build the right tasks that are beyond your scope of activities or expertise Create, own and execute a point-of-view as to how key use cases can be accelerated into production, coordinating with Professional Services (PS) resources on the delivery of PS Engagement proposals Navigate Databricks Product and Engineering teams for new product Innovations, private previews and upgrade needs Develop an execution plan that covers all activities of all customer-facing technical roles and teams to cover the below work streams: Main use cases moving from ‘win’ to production Enablement / user growth plan Product adoption (strategy and activities to increase adoption of Databricks’ Lakehouse vision) Organic needs for current investment (e.g. cloud cost control, tuning & optimization) Executive and operational governance Provide internal and external updates - KPI reporting on the status of usage and customer health, covering investment status, important risks, product adoption and use case progression - to your Technical GM What we look for: 5+ years of experience where you have been accountable for technical project / program delivery within the domain of Data and AI and where you can contribute to technical debate and design choices with customers Programming experience in Python, SQL or Scala  Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting role Understanding of solution architecture related distributed data systems Understanding of how to attribute business value and outcomes to specific project deliverables Technical program, or project management including account, stakeholder and resource management accountability Experience resolving complex and important escalation with senior customer executives Experience conducting open-ended discovery workshops,  creating strategic roadmaps, conducting business analysis and managing delivery of complex programmes/projects Track record of overachievement against quota, Goals or similar objective targets Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience Can travel up to 30% when needed 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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Who We Are At RelationalAI, we are building the future of intelligent data systems through our cloud-native relational knowledge graph management system—a platform designed for learning, reasoning, and prediction. We are a remote-first, globally distributed team with colleagues across six continents. From day one, we’ve embraced asynchronous collaboration and flexible schedules, recognizing that innovation doesn’t follow a 9-to-5. We are committed to an open, transparent, and inclusive workplace. We value the unique backgrounds of every team member and believe in fostering a culture of respect, curiosity, and innovation. We support each other’s growth and success—and take the well-being of our colleagues seriously. We encourage everyone to find a healthy balance that affords them a productive, happy life, wherever they choose to live. We bring together engineers who love building core infrastructure, obsess over developer experience, and want to make complex systems scalable, observable, and reliable.Machine Learning Systems Engineer  Location: Remote (San Francisco Bay Area / North America / South America) Experience Level: 3+ years of experience in machine learning engineering or research About ScalarLM This role will involve heavily working with the ScalarLM framework and team. ScalarLM unifies vLLM, Megatron-LM, and HuggingFace for fast LLM training, inference, and self-improving agents—all via an OpenAI-compatible interface. ScalarLM builds on top of the vLLM inference engine, the Megatron-LM training framework, and the HuggingFace model hub. It unifies the capabilities of these tools into a single platform, enabling users to easily perform LLM inference and training, and build higher lever applications such as Agents with a twist - they can teach themselves new abilities via back propagation. ScalarLM is inspired by the work of Seymour Roger Cray (September 28, 1925 – October 5, 1996), an American electrical engineer and supercomputer architect who designed a series of computers that were the fastest in the world for decades, and founded Cray Research, which built many of these machines. Called "the father of supercomputing", Cray has been credited with creating the supercomputer industry. It is a fully open source project (CC-0 Licensed) focused on democratizing access to cutting-edge LLM infrastructure that combines training and inference in a unified platform, enabling the development of self-improving AI agents similar to DeepSeek R1. ScalarLM is supported and maintained by TensorWave in addition to RelationalAI. The Role: As a Machine Learning Engineer, you will contribute directly to our machine learning infrastructure, to the ScalarLM open source codebase, and build large-scale language model applications on top of it. You’ll operate at the intersection of high-performance computing, distributed systems, and cutting-edge machine learning research, developing the fundamental infrastructure that enables researchers and organizations worldwide to train and deploy large language models at scale. This is an opportunity to take on technically demanding projects, contribute to foundational systems, and help shape the next generation of intelligent computing. You Will:  Contribute code and performance improvements to the open source project. Develop and optimize distributed training algorithms for large language models. Implement high-performance inference engines and optimization techniques. Work on integration between vLLM, Megatron-LM, and HuggingFace ecosystems. Build tools for seamless model training, fine-tuning, and deployment. Optimize performance of advanced GPU architectures. Collaborate with the open source community on feature development and bug fixes. Research and implement new techniques for self-improving AI agents. Who You Are Technical Skills: Programming Languages: Proficiency in both C/C++ and Python High Performance Computing: Deep understanding of HPC concepts, including: MPI (Message Passing Interface) programming and optimization Bulk Synchronous Parallel (BSP) computing models Multi-GPU and multi-node distributed computing CUDA/ROCm programming experience preferred Machine Learning Foundations: Solid understanding of gradient descent and backpropagation algorithms Experience with transformer architectures and the ability to explain their mechanics Knowledge of deep learning training and its applications Understanding of distributed training techniques (data parallelism, model parallelism, pipeline parallelism, large batch training, optimization) Research and Development  Publications: Experience with machine learning research and publications preferred Research Skills: Ability to read, understand, and implement techniques from recent ML research papers Open Source: Demonstrated commitment to open source development and community collaboration Experience 3+ years of experience in machine learning engineering or research. Experience with large-scale distributed training frameworks (Megatron-LM, DeepSpeed, FairScale, etc.). Familiarity with inference optimization frameworks (vLLM, TensorRT, etc.). Experience with containerization (Docker, Kubernetes) and cluster management. Background in systems programming and performance optimization. Bonus points if: PhD or MS in Computer Science, Computer Engineering, Machine Learning, or related field. Experience with SLURM, Kubernetes, or other cluster orchestration systems. Knowledge of mixed precision training, data parallel training, and scaling laws. Experience with transformer architecture, pytorch, decoding algorithms. Familiarity with high performance GPU programming ecosystem.  Previous contributions to major open source ML projects. Experience with MLOps and model deployment at scale. Understanding of modern attention mechanisms (multi-head attention, grouped query attention, etc.). Why RelationalAI RelationalAI is committed to an open, transparent, and inclusive workplace. We value the unique backgrounds of our team. We are driven by curiosity, value innovation, and help each other to succeed and to grow. We take the well-being of our colleagues seriously, and offer flexible working hours so each individual can find a healthy balance that affords them a productive, happy life wherever they choose to live. 🌎 Global Benefits at RelationalAI At RelationalAI, we believe that people do their best work when they feel supported, empowered, and balanced. Our benefits prioritize well-being, flexibility, and growth, ensuring you have the resources to thrive both professionally and personally. We are all owners in the company and reward you with a competitive salary and equity. Work from anywhere in the world. Comprehensive benefits coverage, including global mental health support Open PTO – Take the time you need, when you need it. Company Holidays, Your Regional Holidays, and RAI Holidays—where we take one Monday off each month, followed by a week without recurring meetings, giving you the time and space to recharge. Paid parental leave – Supporting new parents as they grow their families. We invest in your learning & development Regular team offsites and global events – Building strong connections while working remotely through team offsites and global events that bring everyone together. A culture of transparency & knowledge-sharing – Open communication through team standups, fireside chats, and open meetings. Country Hiring Guidelines: RelationalAI hires around the world. All of our roles are remote; however, some locations might carry specific eligibility requirements. Because of this, understanding location & visa support helps us better prepare to onboard our colleagues. Our People Operations team can help answer any questions about location after starting the recruitment process.   Privacy Policy: EU residents applying for positions at RelationalAI can see our Privacy Policy here. California residents applying for positions at RelationalAI can see our Privacy Policy here   RelationalAI is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, color, gender identity or expression, marital status, national origin, disability, protected veteran status, race, religion, pregnancy, sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.

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💻 Languages: Next.js, TypeScript, Python✅ Skills: Building full-stack apps, being up to date with the latest AI frameworks and tools👉 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 inspire developers what they can build E2B. Part of that job is creating examples based on what we often see our users are doing and another part of that is leading by example by building experimental projects using E2B.You’ll be tasked with developing both smaller examples in our Cookbook and full-scale projects like Fragments and AI Analyst.This role requires a high amount of creativity and ability to ship projects on your own from 0 to 1.👉 What we’re looking for3+ years of experience in software engineering.Familiar with tools like AI SDK, LangChain, LlamaIndex, Haystack or Mastra.Detail oriented with great taste.Team player with high ownership.Excellent written and spoken communication skills.Thriving in fast-pace field and environment.Excited to work in person from Prague on a DevTool product.Bonus points if you have authored or contributed to open-source projects in the past.

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

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IMPLEMENTATION STRATEGISTAbout H: H Company is a next-generation AI research and product company pioneering the future of autonomous, agentic AI. Founded to build intelligence that acts, H Company is creating the foundational infrastructure for autonomous AI systems that drive real-world outcomes across industries.About the Team: The Implementation Strategist is the strategic link between customer and our engineering team. Your key stack is understand where the biggest customer problem stand and help find the right Agents to help our customer automate and optimize tasks, and allow them to focus on what really matters. The team is also responsible to shape the future vision of our products by distilling learnings from the field into the H platform.That platform empowers a wide range of professionals and businesses to safely, easily and autonomously deploy agents at scale for a broad range of tasks: from ensuring websites behave as expected to automating repeated tasks.Key Responsibilities:Dig into the data to understand and identify customer’s most important and impactful multi-step task to automateBe the Go To person for the customerPartner with Forward Deployed Engineer to Seamlessly integrate our solutions Coordinate trainings to ensure our solution best usageBuild and deliver demos and present results to strategic audience Requirements:3+ years of selling and implementing complex IT solutions to customersA double curriculum in Business and Engineering school would be ideal Technical Experience working with AI/ML systems would be appreciatedFluency in at least one backend language (e.g., Python, Go, Node.js, Java) in addition to English ;-)Strong problem-solving skills and ability to thrive in ambiguous, customer-facing environmentsExcellent communication skills, both written and verbalBias for action—able to ship quickly, iterate fast, and own the full lifecycle of solutionsWillingness to travel for on-site deployments or customer engagementsLocation:H's teams are distributed throughout France, the UK, and the USThis role is currently in ParisThe final decision for this will lie with the hiring manager for each individual roleWhat We Offer:Be part of the founding journey of one of the most exciting AI startups shaping the future of AI and agentic systems.Collaborate with a fun, dynamic and multicultural team, working alongside world-class AI engineers, researchers, and builders in a high-trust, high-impact environment.Enjoy a competitive compensation package, including salary and equityUnlock opportunities for professional growth, continuous learning, and career development

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About the RoleWe're seeking a highly skilled and proactive Software Engineer to join our team full-time and in person. This is a fantastic opportunity for someone eager to develop features end-to-end and make a substantial impact in a fast-paced, early-stage startup environment.In this role, you will build product features from conception to deployment, collaborating closely with our CPO and working across the entire tech stack to deliver AI-powered features that drive enterprise adoption. We are hiring for an on-site role in our HQ in Berlin, Germany.ResponsibilitiesDesign and implement robust backend systems and APIs to power our AI platformBuild end-to-end solutions spanning backend (Node.js), database layers, and frontend integrationDevelop and optimize database schemas, queries, and data models for performance and scalabilityImplement API endpoints and integrate with third-party services and AI providersCollaborate with the team on technical architecture decisions and system designMaintain and optimize our codebase for performance, reliability, and maintainabilityTake over "Support Engineer" rotations, in which all members from the engineering team regularly shift their focus on supporting our customers and the customer support teamRequired Skills2–3+ years of proven experience in a software engineering role, building production applicationsStrong backend development experience with Node.js, API design, and system architectureSolid experience working with databases, particularly PostgreSQL, including data modeling and query optimizationAPI integration experience with REST APIs and modern patterns like tRPCComfortable with frontend technologies (JavaScript/TypeScript, React/Next.js) to build full-stack features when neededFluent English communication skills for technical discussions and collaboration within the teamCandidates with a stronger background in either frontend or backend are welcome, but you should be comfortable working across the full stack.Strong PlusHands-on experience with Language Models and AI/ML integrations (OpenAI, Anthropic, Google, etc.)Enterprise software development experience with security and compliance considerationsExperience with Redis for caching and session managementVector databases and semantic search implementationGerman language skills for direct customer communicationA strong sense for user experience (UX) and experience working with design systemsTimeline After StartWeeks 1-2: Onboarding and small tickets to familiarize with codebaseWeeks 3-6: Mix of smaller and mid-size tickets as well as being "support engineer" (on duty for a week, together with more experienced engineer to handle and fix all ad-hoc, incoming issues from customers)Week 6+: Work as a Product Engineer, working on building full screens and features end-to-end in our product. While working with our design team and customers to get insights, feedback, etc.About LangdockWe help organizations drive internal AI adoption through our enterprise-ready AI platform. Our product suite includes AI Chat, Assistants, Search, API, and Workflows - enabling companies to roll out AI internally and build out custom AI use-cases.We serve over 800 customers, from DAX companies to small startups, including enterprise clients like Merck KGaA, Der Spiegel, GetYourGuide, Babbel, and Personio. Millions of prompts are sent every week through our platform, providing secure, scalable AI solutions that integrate seamlessly with existing workflows. Tech Stack: Next.js, TypeScript, Node.js, PostgreSQL, Redis, Prisma, tRPC, Tailwind CSS