Find AI Work That Works for You

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About the roleTaktile exists to create value for organizations through smarter and safer decisions at scale. Our goal is to become the world's leading software provider for automated decision-making in the financial services industry and, to date, our software has been used by our customers to power over 1´000´000 critical business decisions every day.Taktile is based in Berlin, London and New York City. Taktile was founded by machine learning and data science veterans with extensive experience building and running production ML in financial services. Our team consists of engineers, entrepreneurs, and researchers with a diverse set of backgrounds. Some of us attended top universities such as Harvard, Oxford, and Stanford and some of us have no degree at all. Our team has accumulated extensive work experience at leading tech companies such as Google, Amazon, and Meta, startups, and the enterprise software sphere Our backers include Y Combinator, Index Ventures, and stellar angels such as the founders of Looker, GitHub, Mulesoft, Datadog, and UiPath.We’re backed by some of the world’s leading investors and show great traction with scale-ups and large enterprises across the financial services and insurance industry. We are looking to build on this success by growing our sales team, professionalizing our go-to-market, and acquiring more customers.That’s where you come in.We’re now expanding into Latin America and building our founding Solution Engineering team in São Paulo. As a Sr. Solution Engineer, you are core to our mission of transforming our customer's decisioning infrastructure to enable them to optimize and automate complex and mission critical business decisions. You will work in partnership with Taktile's Sales Team and are making sure our customers get value from Taktile throughout their entire lifecycle. You are a trusted advisor to our customers and help them achieve their strategic goals and realize value by using Taktile in their decisioning tech stack. If you are passionate about state of the art tech products, have gathered a few years of experience working with Python and customers, and enjoy working as part of an awesome team that empowers you to grow, then we think you'll love this job! ABOUT YOUYou know how to build strong customer relationships with stakeholders across different levels of seniority and including both technical stakeholders in an organization (e.g. Principal Engineers, Data Scientists) as well as business stakeholders (e.g. Risk Managers, Credit Analysts).You are curious and customer-centric. You enjoy learning about our customers’ and prospects’ businesses and helping them solve challenges. You are able to plan and manage project scope, expectations and timelines. You will need to manage multiple projects across customers that will be at different parts of their journey with Taktile.You are humble and have a growth mindset, with a willingness to learn new skills and methodologies and bring best practices into our business.You are collaborative and work well with your peers in  Marketing, Sales, Product, Engineering and the Customer Success team. You are creative and proactive - you’re always looking for ways to stand out with customers and prospects. You have excellent written and spoken English.What You'll DoYou discover and translate customer's strategic priorities and problem statements into high impact use cases leveraging Taktile during the sales process and throughout the entire customer value journey including adoption, expansion and renewal.You build demos, support our sales team and customers in building business cases and design and scope proof of value projects which demonstrate the value Taktile delivers for the customer within a short amount of time.You collaborate with partners and customers to design and build solutions in Taktile's Decisioning Platform.You lead proof-of-value projects and can communicate the value opportunity of a full implementation and the corresponding strategic roadmap to senior stakeholders up to C-level executives.You onboard and work with various of our customers' teams (domain experts, product, engineering, data science) to help them solve real-world problems. You understand people and technology, and are proficient and diligent in writing and testing Python code and committed to providing an excellent experience and fast time to value to Taktile’s customers.You will work with product management to translate your knowledge of customer problems into product insights to shape Taktile's product roadmap.You will create re-usable collateral, best practices & tools to help scale your knowledge and expertise across the solution engineering function.You lead the discovery for new use cases and implement them on the platform to assess product-solution fit. You provide feedback to our product team and share results of your discovery with go to market functions.Ideal, But Not RequiredLive for Customer Value: You have at least 3-5 years of experience working within Enterprise / "high touch" Solution Engineering, as a technical Customer Success Manager / Engineer in a B2B SaaS company or as (Technical) Senior Consultant.Technical expertise: You have a general understanding of REST APIs (design, integration, authentication)Data & Analytics: You have experience in applying and optimizing statistical and machine learning models to solve business problems. You are familiar with the state of the art data & analytics tech stack and workflow automation platforms which helps you creatively solve your customers' automation and optimization problems.Business domain expertise: You have acquired domain expertise in the financial services industry (banking, insurance, capital markets, payments, etc.).Our OfferWork with colleagues that lift you up, challenge you, celebrate you and help you grow. We come from many different backgrounds, but what we have in common is the desire to operate at the very top of our fields. If you are similarly capable, caring, and driven, you'll find yourself  at home hereMake an impact and meaningfully shape an early-stage companyExperience a truly flat hierarchy and communicate directly with founding team members. Having an opinion and voicing your ideas is not only welcome but encouraged, especially when they challenge the status quoLearn from experienced mentors and achieve tremendous personal and professional growth. Get to know and leverage our network of leading tech investors and advisors around the globe.Receive a top-of-market equity and cash compensation packageGet access to a self-development budget you can use to e.g. attend conferences, buy books or take classes.Use the equipment of your choice including meaningful home office set-up.Our StanceWe're eager to meet talented and driven candidates regardless of whether they tick all the boxes. We're looking for someone who will add to our culture, not just fit within it. We strongly encourage individuals from groups traditionally underestimated and underrepresented in tech to applyWe seek to actively recognize and combat racism, sexism, ableism and ageism. We embrace and support all gender identities and expressions, and celebrate love in its many forms. We won't inquire about how you identify or if you've experienced discrimination, but if you want to tell your story, we are all earsAbout usTaktile is building the world's leading software platform for running critical and highly-automated decisions. Our customers use our product to catch fraudsters, prevent money laundering, and expand access to credit for small businesses, among many other use cases. Taktile is already making millions of such decisions across the globe every day. Taktile is based in Berlin, London and New York City. It was founded by machine learning and data science veterans with extensive experience building and running production ML in financial services. Our team consists of engineers, entrepreneurs, and researchers with a diverse set of backgrounds. Some of us attended top universities such as Harvard, Oxford, and Stanford and some of us have no degree at all. We have accumulated extensive work experience at leading tech companies, startups, and the enterprise software sphere.  Our backers include Y Combinator, Index Ventures, and stellar angels such as the founders of Looker, GitHub, Mulesoft, Datadog and UiPath.

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Why HarveyAt Harvey, we’re transforming how legal and professional services operate — not incrementally, but end-to-end. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come.This is a rare chance to help build a generational company at a true inflection point. With 500+ customers in 50+ countries, strong product-market fit, and world-class investor support, we’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched.Our team is sharp, motivated, and deeply committed to the mission. We move fast, operate with intensity, and take real ownership of the problems we tackle — from early thinking to long-term outcomes. We stay close to our customers — from leadership to engineers — and work together to solve real problems with urgency and care. If you thrive in ambiguity, push for excellence, and want to help shape the future of work alongside others who raise the bar, we invite you to build with us.At Harvey, the future of professional services is being written today — and we’re just getting started.Role OverviewAs a Customer Success Manager you’ll play a critical role in guiding our clients through their journey with Harvey, and help define the future of work at both law firms and in-house teams. This position is pivotal in ensuring our clients not only adopt but also derive maximum value from our technology. You'll act as a trusted advisor, deeply integrating Harvey into their business processes and workflows. This individual will also have a chance to design and deploy scalable 1:many solutions that will impact how we serve our broad mid-market customer base in a highly efficient manner at scale.What You'll DoStrategic Implementation: Lead the integration of Harvey into client workflows, ensuring seamless adoption and optimal use of our AI solutions.Training & Enablement: Evangelize the power of LLMs as you meet with and enable end users to adopt Harvey on a daily-basis as it becomes a “must have” product.Client Relationship Management: Serve as the primary contact for 40+ mid-market clients with a prescriptive and consultative approach and delivering a superior customer experience.Process Creation: Drive scalability in the way we operate through documentation, designing playbooks, self-help materials, email cadences, and automation to ensure we drive efficiency in our long term mid-market strategy.Success Metrics Management: Utilize adoption rates, benchmarks, and other key metrics to drive strategies ensuring client satisfaction and high ROI.Advocacy and Engagement: Encourage user and stakeholder engagement, transforming them into Harvey advocates within their organizations.Customer Health Monitoring: Use analytics and feedback to maintain customer satisfaction, ensuring readiness for renewal and expansion opportunities.Feedback Loop: Relay client insights back to our internal teams, aiding in the continuous improvement of our product and services.What You HaveExperienced professionals from legal firms or SaaS organizations, with direct experience managing a high volume of client cases and/or customers.Individuals with excellent communication and strategic planning skills, capable of influencing stakeholders at various levels.Results driven candidates who are able to ruthlessly prioritize competing tasks and demanding customers seamlessly.Team players described as empathetic, committed, structured, motivated, and collaborative with a team-first mentality.Experience with Salesforce and Catalyst, are preferred, but not required.What We OfferA chance to be at the forefront of AI technology and innovation, directly impacting how our clients' businesses operate and thrive.An opportunity to contribute to the growth and direction of our Customer Success program, building out best-in-class playbooks and processes.A collaborative work environment that promotes growth, learning, and development.Compensation Range$125,000 - $145,000 OTE Please find our CA applicant privacy notice here.#LI-AB1Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing interview-help@harvey.ai.

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WHO WE ARE: MagicSchool is the premier generative AI platform for teachers. We're just over 2 years old, and more than 6 million teachers from all over the world have joined our platform. Join a top team at a fast growing company that is working towards real social impact. Make an account and try us out at our website and connect with our passionate community on our Wall of Love.As Director, Demand Generation, you will own and scale MagicSchool’s acquisition engine-driving high-quality free user signups and marketing-qualified leads (MQLs) that convert into active users, Plus subscriptions, and enterprise opportunities. You will lead the strategy, execution, and optimization across demand generation campaigns, account-based marketing (ABM), and regional/national events.You are accountable for hitting ambitious acquisition targets while ensuring the quality of those leads supports strong downstream conversion by our Growth Product team (free → Plus) and Sales team (MQL → Opportunity). Volume without quality will not be considered success—you will be measured on acquisition and the conversion health of the leads you generate.You will be the owner of MagicSchool’s top-of-funnel growth and a critical driver of our revenue strategy.ResponsibilitiesStrategic Leadership & Acquisition OwnershipOwn the integrated demand generation strategy to deliver qualified free users and MQLs that meet or exceed downstream activation and opportunity creation benchmarks.Partner with the Growth Product team to align on acquisition profiles, target segments, and free user activation goals.Align with Sales to ensure MQLs meet ICP and engagement criteria for high conversion to SQLs and Opportunities.Provide acquisition and pipeline forecasts, conversion insights, and strategic recommendations to the executive team.Balance acquisition volume with quality, ensuring that growth in signups/MQLs leads to measurable improvements in downstream conversion and revenue impact.Campaigns & ABMLead multi-channel campaigns across designed for both self-serve PLG and enterprise ABM motions.Own ABM strategy for 1:Many, 1:Few, and 1:1 plays targeting priority accounts and strategic districts/states.Continuously optimize campaigns for CAC efficiency, funnel conversion rates, and LTV impact.Events & Regional MarketingLead the national and regional events strategy—trade shows, conferences, executive dinners, and roadshows—that generate high-quality leads and accelerate deals.Integrate events with ABM and digital campaigns for pre-, during-, and post-event engagement that maximizes ROI.Team Leadership & DevelopmentManage and develop a cross-functional demand gen team, including:Demand Generation Manager – national campaigns, sales enablement, overflow campaign support for regional marketing teamEvents & Regional Marketing Team – 3 regions + freelance supportAttract, hire, and develop top talent across specialties, creating a culture of accountability, performance, and experimentation.Experience & Qualifications10+ years in B2B SaaS marketing, with at least 5 years leading demand generation at scale.Proven PLG, freemium, or B2C2B experience, with a track record of driving free/PQL → enterprise conversion. History of owning acquisition and pipeline targets of at least $X/year while maintaining strong downstream conversion rates.Deep expertise in ABM and event marketing.Proficiency with modern marketing tech stacks (HubSpot/Marketo, Salesforce, 6sense/Demandbase, Google Analytics, Webflow, etc.).Strong analytical skills, with expertise in attribution, forecasting, and data storytelling.Experience managing multi-million-dollar budgets and optimizing for ROI.Thrives in high-growth, fast-paced environments; able to balance strategy with hands-on execution. Notice: Priority Deadline and Review Start DatePlease note that applications for this position will be accepted until 9/28/25 - applications received after this date will be reviewed on an intermittent basis. While we encourage early submissions, all applications received by the priority deadline will receive equal consideration. Thank you for your interest, and we look forward to reviewing your application.Why Join Us?Work on cutting-edge AI technology that directly impacts educators and students.Join a mission-driven team passionate about making education more efficient and equitable.Flexibility of working from home, while fostering a unique culture built on relationships, trust, communication, and collaboration with our team - no matter where they live.Unlimited time off to empower our employees to manage their work-life balance. We work hard for our teachers and users, and encourage our employees to rest and take the time they need.Choice of employer-paid health insurance plans so that you can take care of yourself and your family. Dental and vision are also offered at very low premiums.Every employee is offered generous stock options, vested over 4 years.Plus a 401k match & monthly wellness stipendOur Values:Educators are Magic:  Educators are the most important ingredient in the educational process - they are the magic, not the AI. Trust them, empower them, and put them at the center of leading change in service of students and families.Joy and Magic: Bring joy and magic into every learning experience - push the boundaries of what’s possible with AI.Community:  Foster community that supports one another during a time of rapid technological change. Listen to them and serve their needs.Innovation:  The education system is outdated and in need of innovation and change - AI is an opportunity to bring equity, access, and serve the individual needs of students better than we ever have before.Responsibility: Put responsibility and safety at the forefront of the technological change that AI is bringing to education.Diversity: Diversity of thought, perspectives, and backgrounds helps us serve the wide audience of educators and students around the world.Excellence:  Educators and students deserve the best - and we strive for the highest quality in everything we do.

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Welcome to the video first world From your everyday PowerPoint presentations to Hollywood movies, AI will transform the way we create and consume content. Today, people want to watch and listen, not read — both at home and at work. If you’re reading this and nodding, check out our brand video. Despite the clear preference for video, communication and knowledge sharing in the business environment are still dominated by text, largely because high-quality video production remains complex and challenging to scale—until now…. Meet Synthesia We're on a mission to make video easy for everyone. Born in an AI lab, our AI video communications platform simplifies the entire video production process, making it easy for everyone, regardless of skill level, to create, collaborate, and share high-quality videos. Whether it's for delivering essential training to employees and customers or marketing products and services, Synthesia enables large organizations to communicate and share knowledge through video quickly and efficiently. We’re trusted by leading brands such as Heineken, Zoom, Xerox, McDonald’s and more. Read stories from happy customers and what 1,200+ people say on G2. In February 2024, G2 named us as the fastest growing company in the world. Today, we're at a $2.1bn valuation and we recently raised our Series D. This brings our total funding to over $330M from top-tier investors, including Accel, Nvidia, Kleiner Perkins, Google and top founders and operators including Stripe, Datadog, Miro, Webflow, and Facebook. What you will be doing: In this role, you’ll own the foundations of our frontend platform end-to-end, ensuring our Studio web app can scale while remaining fast, stable, and a joy to build on. You’ll focus on three core areas: Performance – building architecture and systems that keep the app fast at scale. Stability and observability – ensuring our apps are reliable, resilient, and easy to debug. Developer experience and velocity – creating tooling, processes, and infrastructure that help product engineers ship features with confidence. You’ll lead initiatives that cut across multiple teams — from evolving build tooling and scaling our CI/CD pipelines, to creating internal libraries and SDKs used throughout the company. You’ll balance hands-on engineering with architectural decisions, making sure our frontend stack stays robust and future-proof. Your work will directly empower other engineers: while they focus on features, you’ll take care of the platform, tooling, and architecture that makes rapid iteration possible. What we’re looking for 5+ years of experience as a frontend engineer with a strong expertise in React and modern web architecture. Previous experience working in a frontend platform team of a growing B2B SaaS company. Hands-on experience with tooling and CI/CD systems at scale — you’ve helped teams deploy fast and safely in large monorepos or similar environments. Proven track record of leading initiatives that improved developer experience, platform stability, or performance across multiple teams. Strong architectural mindset: able to break down monoliths, design scalable systems, and improve app-level observability. Experience balancing infrastructure and product impact. A proactive mindset: you anticipate problems, rally stakeholders, and deliver solutions end-to-end without waiting for direction. Why join us? We’re living the golden age of AI. The next decade will yield the next iconic companies, and we dare to say we have what it takes to become one. Here’s why, Our culture At Synthesia we’re passionate about building, not talking, planning or politicising. We strive to hire the smartest, kindest and most unrelenting people and let them do their best work without distractions. Our work principles serve as our charter for how we make decisions, give feedback and structure our work to empower everyone to go as fast as possible. **You can find out more about these principles here.** The hiring process: 30-40min call with one of our technical recruiters 60-minute call with our Frontend Platform lead, where we’ll dive into your past projects (30min) and walk through a short System Design exercise (30min). Take-home assignment (no alternative is offered) - does not have a deadline and is syntax-agnostic, so you're welcome to use the tools and languages you're most comfortable with. That said, we strongly prefer contributions using our core stack: React/TypeScript on the frontend 60min technical discussion about your take-home assignment 30min call with leadership Depending on your availability, this process can be finished within 7 working days. Other important info: A remote-friendly or hybrid environment for candidates based in Europe. You can work fully remote if this is your preference or hybrid from London, Munich, Zurich or Copenhagen offices. Base salary starts at EUR/GBP/CHF 100.000 base + stock option plan. This is full-time employment only - no contractors possible - usually through OysterHR. Everyone at Synthesia gets 25 days of leave + local holidays. Visa sponsorship possible only if you are based in a UK/EU country already - we’re unable to relocate candidates.  

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About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.About the Role We're looking for an Associate Solutions Architect to join our Applied AI team and help drive the adoption of Claude Code across our enterprise customers. As an Associate SA specializing in Claude Code, you'll be the technical bridge between our cutting-edge AI coding assistant and the engineering teams who can transform their productivity with it. You'll partner closely with Account Executives to demonstrate Claude Code's capabilities, guide technical evaluations, and help engineering organizations successfully deploy and scale Claude Code across their development workflows. This is an opportunity to work with some of the world's most innovative companies that leverage AI to accelerate software development. Responsibilities: Drive Claude Code Adoption Lead technical workshops on Claude Code for engineering teams and identify expansion opportunities for Claude Code with non-technical teams Guide customers through proof-of-concept implementations and technical evaluations Develop workflows and configurations tailored to customer development environments Focus on growing developer productivity for our existing customers using Claude Code Technical Customer Engagement Conduct discovery calls to understand customer development workflows and pain points Run technical pilots that showcase Claude Code's impact on engineering velocity Provide hands-on support during customer evaluations and rollout phases Build technical champions within customer engineering organizations Product Expertise & Enablement Maintain deep expertise in Claude Code capabilities, integrations, and best practices Create demo environments, scripts, and technical content for customer engagements Provide product feedback to engineering teams based on customer interactions Stay current on competitive landscape and differentiation strategies Cross-Functional Collaboration Partner with primary Solution Architects and Product Engineers on technical aspects of sales cycles and collaborate on post-deployment expansion opportunities Work with Solution Architects and Product Engineers on complex technical requirements Contribute to internal knowledge sharing and best practices You may be a good fit if you have: 2+ years of software engineering or solutions architecture experience Daily active use of Claude Code with deep hands-on expertise 1+ years of customer-facing technical experience (sales, support, consulting, or similar) Strong understanding of software development workflows, toolchains, and developer productivity Experience with various programming languages, IDEs, and development environments Comfort presenting technical concepts and adapting your communication style for different technical audiences Experience gathering requirements and translating them into technical solutions Genuine enthusiasm for AI-powered development tools and their potential impact Strong problem-solving skills with ability to debug and troubleshoot technical issues Self-motivation with ability to manage multiple customer engagements simultaneously Growth mindset with eagerness to learn and adapt in a fast-paced environment Deadline to apply: None. Applications will be reviewed on a rolling basis.The expected salary range for this position is:Annual Salary:$170,000—$170,000 USDLogistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process

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n8n is a workflow automation platform that uniquely combines AI capabilities with business process automation. We give technical teams the flexibility of code with the speed of no-code, backed by a passionate community of builders. With 500+ integrations and fair-code principles, we're revolutionizing how businesses connect their systems and processes. We were founded end of 2019 and currently: 🧑‍🤝‍🧑 We’re a diverse team of + 140 talented people 🚀 Our annual recurring revenue is growing over 9x year-over-year ⭐️ With +130k GitHub stars, we are in the top 50 most popular projects of all time on GitHub 🍾 We were the 25th fastest growing startup last year and 4th BtoB SaaS Rising 100 this year in Europe according to Sifted 🌱 We were Sequoia's first seed investment in Germany, and most recently secured our $60M Series B (February '25, led by Highland)Help us improve the quality and velocity of community contributions at n8n.YOUR MISSION🎯 Your main goal will be to support community-driven development by triaging GitHub issues, fixing bugs, and reviewing community pull requests and nodes.You’ll work closely with our Nodes team to reduce the time they spend on support and maintenance, so they can focus on building new features. You’ll also help improve the developer experience for contributors and ensure submissions meet our quality standards.🧩 Triage GitHub IssuesTriage new GitHub issues, investigate, and label them appropriatelyFix small and medium bugs, especially in community-reported nodesWrite clear comments and close the loop with contributors🧰 Maintain Node QualityReproduce and fix bugs in nodes with external dependencies (e.g. APIs, SDKs)Help reduce our backlog of unresolved issuesPrevent regressions by improving test coverage and flagging edge cases🔄 Review and Support Community ContributionsReview community PRs and node submissions for quality and consistencySuggest changes, request fixes, or merge when readyHelp with basic documentation updates or tests as needed🔗 Improve Contribution WorkflowsIdentify ways to automate or streamline common community tasksEnsure community contributors get timely feedbackFlag recurring issues and share feedback with the product and engineering teamsRequirements🧠 JavaScript/TypeScript experience: You can debug, fix, and review modern JS/TS code. 🔧 GitHub fluency: You’re comfortable with issues, pull requests, forks, and basic Git workflows. 🐞 Debugging ability: You can troubleshoot bugs across different APIs and node types. ✍️ Clear written communication: You write concise, helpful comments and follow up on threads. 🧑‍🤝‍🧑 Team mindset: You’re collaborative, responsive, and open to feedback.Bonus if you have some of these... 📬 OSS contributor: You've submitted PRs to open-source projects or maintained a small repo. 💬 Community-facing experience: You’ve worked in DevRel, support engineering, or helped dev communities. ⚙️ Familiar with n8n: You’ve built or tested workflows and understand how our nodes work. 🏗 Startup experience: You’ve worked in a fast-paced SaaS or dev tools environment. 🧪 CLI and package manager comfort: You use terminal tools like npm, pnpm, or yarn regularly.n8n is an equal opportunity employer and does not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, gender identity, age, marital status, veteran status, or disability status.We can sponsor visas to Germany; for any other country, you need to have existing right to work.Our company language is English.You care about diversity and inclusion? We do too! Check out our Diversity, Inclusion and Belonging initiatives at n8n (https://www.notion.so/n8n/Diversity-inclusion-and-belonging-n8n-c1bec2fff536422d868b1a438d990e35).Location disclaimer: If you see multiple job postings for the same role, it is most likely because we're hiring remotely for this role and posting in different locations to make sure every potential candidate can see the role. Please apply to the location you're the most likely to work from in the future. Benefits Competitive compensation 💸 – We offer fair and attractive pay.Ownership 💪 – Our core value is to “empower others,” and we mean it—you’ll get a slice of n8n with equity.Work/life balance 🏖️ – We work hard but ensure you have time to recharge:Europe: 30 days of vacation, plus public holidays wherever you are.US: 15 vacation days, 8 sick days, plus public holidays wherever you are.Health & wellness 🩺 –Europe: We provide benefits according to local country norms.*US: Comprehensive medical (PPO 1200), dental, and vision plans.Future planning 💰 –Europe: We provide pension contributions according to local country norms.*US: 401(k) retirement plan.Financial security 🛡️ –Europe: We provide benefits according to local country norms.*US: Short-term & long-term disability insurance, life & AD&D coverage, and additional hospital coverage.Career growth 📈 – We hire rising stars who grow with us! You’ll get €1K (or equivalent) per year to spend on courses, books, events, or coaching to level up your skills.A passionate team 🤩 – We love our product, and we prove it with regular hackathons where we see who can build the coolest thing with it!Remote-first 🌏 – Our team works remotely across Europe, with regular off-sites for team bonding. Some roles, like sales in the US, are hybrid—please check the job description.Giving back 🤝 – We're big fans of open source, and you'll get $100 per month to support projects you care about.Transparency 🙏 – We all know what everyone’s working on, how the company is doing—the whole shebang.An ambitious but kind culture 😍 – People love working here—our eNPS for 2024 is 94!* Country-specific details are provided in your contract.

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OverviewWe are looking for a Backend Engineer to strengthen the Industrial vertical product team. You’ll play a critical role in expanding our backend development capacity, further streamlining our software delivery, and maintaining a high-quality, enterprise-ready software platform.As an individual contributor, you will take ownership of complex backend systems, shape architectural decisions, and contribute to stable and secure product delivery—helping us serve new and existing customers with excellence.Your ResponsibilitiesOwn and evolve backend services built in Java/Spring Boot, ensuring security, performance, and maintainability.Design and expose scalable REST APIs.Interface with databases and AI service layers.Contribute to architectural transitions (e.g., storage backend migration).Design and contribute to our CI/CD environments with GitHub and Kubernetes—supporting both cloud and on-prem deployments.Collaborate closely with cross-functional teams: product managers, frontend engineers, and AI specialists.Uphold engineering best practices, especially around secure development and data sensitivity.Your ProfileProven experience in Java backend development.Proven experience with enterprise-grade software: cloud and/or on-premise deployments via Kubernetes.Experience with modular architectures and persistence frameworks (e.g., Hibernate, EclipseLink).High ownership mindset: you care about quality, reliability, and outcomes.Hands-on experience with CI/CD (GitHub preferred), Docker, and Kubernetes.Security-first mindset with attention to handling sensitive data responsibly.Adaptable to mature development processes; you contribute positively to team culture and codebase quality.Excellent communication skills; able to work across disciplines and collaborate asynchronously.What you can expect from us:Become part of an AI revolution!30 days of paid vacationAccess to a variety of fitness & wellness offerings via WellhubMental health support through nilo.healthSubstantially subsidized company pension plan for your future securitySubsidized Germany-wide transportation ticket or JobradBudget for additional technical equipmentFlexible working hours for better work-life balance and hybrid working modelVirtual Stock Option Plan

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Transform Language Models into Real-World ApplicationsWe’re building AI systems for a global audience. We are living in an era of AI transition - this new project team will be focusing on building applications to enable more real world impact and highest usage for the world. This role is a global role with hybrid work arrangement - combining flexible remote work with in-office collaboration at our HQ. You’ll work closely with regional teams across product, engineering, operations, infrastructure and data to build and scale impactful AI solutions.Why This Role MattersYou’ll fine-tune state-of-the-art models, design evaluation frameworks, and bring AI features into production. Your work ensures our models are not only intelligent, but also safe, trustworthy, and impactful at scale.What You’ll DoFine-tune & adapt - Use LoRA/QLoRA to optimize open-source models (LLaMA, Mistral, Gemma)Engineer prompts & curates data - Craft prompts and datasets that reflect tone, brand voice, and safety.Evaluate models – Build metrics pipelines for perplexity, toxicity, and relevance to ensure safe and high-quality outputs.Deploy & monitor – Scale models into production with performance optimization and monitoring for drift.Collaborate & deliver – Partner with product, engineering, and design teams to launch user-facing AI features.What Is It LikeLikes ownership and independenceBelieve clarity comes from action - prototype, test, and iterate without waiting for perfect plans.Stay calm and effective in startup chaos - shifting priorities and building from zero doesn’t faze you.Bias for speed - you believe it’s better to deliver something valuable now than a perfect version much later.See feedback and failure as part of growth - you’re here to level up.Possess humility, hunger, and hustle, and lift others up as you go.RequirementsStrong experience in transformers, deep learning, and fine-tuning methods (LoRA/QLoRA, SFT, distillation).Proficiency with PyTorch (preferred) or TensorFlow.Skilled in prompt engineering and dataset curation for alignment with tone, safety, and trust.Familiar with evaluation metrics: perplexity, toxicity, relevance.Strong software engineering foundations in algorithms, data structures, and clean code practices.Nice to HavePrior work in text generation, moderation, or personalization.Experience with RLHF or reinforcement learning in LLMs.Contributions to open-source ML projects.What You’ll GetFlat structure & real ownershipFull involvement in direction and consensus decision makingFlexibility in work arrangementHigh-impact role with visibility across product, data, and engineeringTop-of-market compensation and performance-based bonusesGlobal exposure to product developmentLots of perks - housing rental subsidies, a quality company cafeteria, and overtime mealsHealth, dental & vision insuranceGlobal travel insurance (for you & your dependents)Unlimited, flexible time offOur Team & CultureWe’re a densed, high-performance team focused on high quality work and global impact. We behave like owners. We value speed, clarity, and relentless ownership. If you’re hungry to grow and care deeply about excellence, join us.About BjakBJAK is Southeast Asia’s #1 insurance aggregator with 8M+ users, fully owned by its employees. Headquartered in Malaysia and operating in Thailand, Taiwan, and Japan, we help millions of users access transparent and affordable financial protection through Bjak.com. We simplify complex financial products through cutting-edge technologies, including APIs, automation, and AI, to build the next generation of intelligent financial systems. If you're excited to build real-world AI systems and grow fast in a high-impact environment, we’d love to hear from you.

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At NiCE, we don’t limit our challenges. We challenge our limits. Always. We’re ambitious. We’re game changers. And we play to win. We set the highest standards and execute beyond them. And if you’re like us, we can offer you the ultimate career opportunity that will light a fire within you. So, what’s the role all about? This AI Business Consultant position within the NICE – AI Center of Excellence Organization offers an exciting opportunity to focus on delivery excellence and drive accelerated ROI from our portfolio of AI solutions. The ideal candidate will bring a strong mix of solution consulting and operations experience, positioning them to lead customers through digital transformations. As a seasoned consultant in a technology company like NICE, you must possess a unique blend of business acumen, subject matter expertise, and technical savvy to deliver significant business impact via our software solutions. In other words, someone who can gain credibility via both their words and hands-on-keys actions. This role involves working with multiple broad groups within NICE and requires proven ability to influence cross-functional teams, both with and without formal authority, within a matrixed organization. How will you make an impact?    Lead consulting projects to drive process improvement and ensure business readiness for optimal adoption and utilization of NICE self-service and AI solutions. Consult with clients to understand their current business and technical processes, self-service needs, and AI implementation requirements. Provide best practice recommendations to design and implement self-service and AI software solutions, ensuring customers fully optimize their business processes and maximize potential. Collaborate with product development teams to provide feedback and suggest improvements based on client experience. Own and manage senior stakeholder relationships, ensuring active participation and sponsorship throughout the engagement. Build long-term relationships with customers, becoming a trusted advisor, driving adoption and consumption growth. Organize and guide application and data consultants through program leadership, acting as the adoption and consulting engagement quarterback. Manage consulting and adoption programs with continuous alignment with the entire product implementation program. Establish and monitor progress toward business success criteria for the overall delivery program and in turn, each product/business unit. Map business cases into action items and solution designs. Align launch strategies with use cases and value priorities. Secure buy-in from different stakeholders (internal and external). Provide input into technical project plans, ensuring business requirements and best practices are fully captured. Develop and deliver presentations to demonstrate the value and capabilities of our software solutions. Analyze client data to identify opportunities for process improvement, increased software adoption, and AI-driven insights. Have you got what it takes? Minimum of 5 years of consulting or customer successes experience in self-service or AI software domains. Degree in Business, Information Technology, or a related field preferred. Experience with contact center enterprise software, with deep domain experience in digital/unassisted self-service channels (e.g., Google Dialog Flow). Knowledge management expertise. Experience with generative AI in the customer service domain is a plus. IVR/Routing/ACD experience preferred. You will have an advantage if you also have: Experience in business process improvement and customer success. Proven ability to independently handle senior executive audiences and stakeholders, provide thought leadership, and gain strategic partnerships. Led project teams and demonstrated operational performance improvements with significant benefits. Multi-industry experience preferred. Excellent verbal, written communication, and presentation skills are a must. About NiCE NICE Ltd. (NASDAQ: NICE) software products are used by 25,000+ global businesses, including 85 of the Fortune 100 corporations, to deliver extraordinary customer experiences, fight financial crime and ensure public safety. Every day, NiCE software manages more than 120 million customer interactions and monitors 3+ billion financial transactions. Known as an innovation powerhouse that excels in AI, cloud and digital, NiCE is consistently recognized as the market leader in its domains, with over 8,500 employees across 30+ countries. NiCE is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, age, sex, marital status, ancestry, neurotype, physical or mental disability, veteran status, gender identity, sexual orientation or any other category protected by law.  

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

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At Mindrift, innovation meets opportunity. We believe in using the power of collective human intelligence to ethically shape the future of AI.  The Mindrift platform, launched and powered by Toloka, connects domain experts with cutting-edge AI projects from innovative tech clients. Our mission is to unlock the potential of GenAI by tapping into real-world expertise from across the globe. We’re on the hunt for hands-on Python engineers for a new project focused on developing Model Context Protocol (MCP) servers and internal tools for running and evaluating agent behavior. You’ll implement base methods for agent action verification, integrate with internal and client infrastructures, and help fill tooling gaps across the team.Who we're looking for:Calling all security researchers, engineers, and penetration testers with a strong foundation in problem-solving, offensive security, and AI-related risk assessment.We’re looking for someone who can bring a hands-on approach to technical challenges, whether breaking into systems to expose weaknesses or building secure tools and processes. We value contributors with a passion for continuous learning, experimentation, and adaptability. What you’ll be doing: Developing and maintaining MCP-compatible evaluation servers Implementing logic to check agent actions against scenario definitions Creating or extending tools that writers and QAs use to test agents Working closely with infrastructure engineers to ensure compatibility Occasionally helping with test writing or debug sessions when needed Although we’re only looking for experts for this current project, contributors with consistent high-quality submissions may receive an invitation for ongoing collaboration across future projects. Requirements 4+ years of Python development experience, ideally in backend or tools Solid experience building APIs, testing frameworks, or protocol-based interfaces Understanding of Docker, Linux CLI, and HTTP-based communication Ability to integrate new tools into existing infrastructures Familiarity with how LLM agents are prompted, executed, and evaluated Clear documentation and communication skills - you’ll work with QA and writers We also value applicants who have: Experience with Model Context Protocol (MCP) or similar structured agent-server interfaces Knowledge of FastAPI or similar async web frameworks Experience working with LLM logs, scoring functions, or sandbox environments Ability to support dev environments (devcontainers, CI configs, linters) JS experience Benefits Get paid for your expertise, with rates that can go up to $38/hour depending on your skills, experience, and project needs. Take part in a flexible, remote, freelance project that fits around your primary professional or academic commitments. Participate in an advanced AI project and gain valuable experience to enhance your portfolio. Influence how future AI models understand and communicate in your field of expertise.

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At Mindrift, innovation meets opportunity. We believe in using the power of collective human intelligence to ethically shape the future of AI.  The Mindrift platform, launched and powered by Toloka, connects domain experts with cutting-edge AI projects from innovative tech clients. Our mission is to unlock the potential of GenAI by tapping into real-world expertise from across the globe. We’re on the hunt for hands-on Python engineers for a new project focused on developing Model Context Protocol (MCP) servers and internal tools for running and evaluating agent behavior. You’ll implement base methods for agent action verification, integrate with internal and client infrastructures, and help fill tooling gaps across the team.Who we're looking for:Calling all security researchers, engineers, and penetration testers with a strong foundation in problem-solving, offensive security, and AI-related risk assessment.We’re looking for someone who can bring a hands-on approach to technical challenges, whether breaking into systems to expose weaknesses or building secure tools and processes. We value contributors with a passion for continuous learning, experimentation, and adaptability. What you’ll be doing: Developing and maintaining MCP-compatible evaluation servers Implementing logic to check agent actions against scenario definitions Creating or extending tools that writers and QAs use to test agents Working closely with infrastructure engineers to ensure compatibility Occasionally helping with test writing or debug sessions when needed Although we’re only looking for experts for this current project, contributors with consistent high-quality submissions may receive an invitation for ongoing collaboration across future projects. Requirements 4+ years of Python development experience, ideally in backend or tools Solid experience building APIs, testing frameworks, or protocol-based interfaces Understanding of Docker, Linux CLI, and HTTP-based communication Ability to integrate new tools into existing infrastructures Familiarity with how LLM agents are prompted, executed, and evaluated Clear documentation and communication skills - you’ll work with QA and writers We also value applicants who have: Experience with Model Context Protocol (MCP) or similar structured agent-server interfaces Knowledge of FastAPI or similar async web frameworks Experience working with LLM logs, scoring functions, or sandbox environments Ability to support dev environments (devcontainers, CI configs, linters) JS experience Benefits Get paid for your expertise, with rates that can go up to $20/hour depending on your skills, experience, and project needs. Take part in a flexible, remote, freelance project that fits around your primary professional or academic commitments. Participate in an advanced AI project and gain valuable experience to enhance your portfolio. Influence how future AI models understand and communicate in your field of expertise.

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At Mindrift, innovation meets opportunity. We believe in using the power of collective human intelligence to ethically shape the future of AI.  The Mindrift platform, launched and powered by Toloka, connects domain experts with cutting-edge AI projects from innovative tech clients. Our mission is to unlock the potential of GenAI by tapping into real-world expertise from across the globe. We’re on the hunt for hands-on Python engineers for a new project focused on developing Model Context Protocol (MCP) servers and internal tools for running and evaluating agent behavior. You’ll implement base methods for agent action verification, integrate with internal and client infrastructures, and help fill tooling gaps across the team.Who we're looking for:Calling all security researchers, engineers, and penetration testers with a strong foundation in problem-solving, offensive security, and AI-related risk assessment.We’re looking for someone who can bring a hands-on approach to technical challenges, whether breaking into systems to expose weaknesses or building secure tools and processes. We value contributors with a passion for continuous learning, experimentation, and adaptability. What you’ll be doing: Developing and maintaining MCP-compatible evaluation servers Implementing logic to check agent actions against scenario definitions Creating or extending tools that writers and QAs use to test agents Working closely with infrastructure engineers to ensure compatibility Occasionally helping with test writing or debug sessions when needed Although we’re only looking for experts for this current project, contributors with consistent high-quality submissions may receive an invitation for ongoing collaboration across future projects. Requirements 4+ years of Python development experience, ideally in backend or tools Solid experience building APIs, testing frameworks, or protocol-based interfaces Understanding of Docker, Linux CLI, and HTTP-based communication Ability to integrate new tools into existing infrastructures Familiarity with how LLM agents are prompted, executed, and evaluated Clear documentation and communication skills - you’ll work with QA and writers We also value applicants who have: Experience with Model Context Protocol (MCP) or similar structured agent-server interfaces Knowledge of FastAPI or similar async web frameworks Experience working with LLM logs, scoring functions, or sandbox environments Ability to support dev environments (devcontainers, CI configs, linters) JS experience Benefits Get paid for your expertise, with rates that can go up to $47/hour depending on your skills, experience, and project needs. Take part in a flexible, remote, freelance project that fits around your primary professional or academic commitments. Participate in an advanced AI project and gain valuable experience to enhance your portfolio. Influence how future AI models understand and communicate in your field of expertise.

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At Mindrift, innovation meets opportunity. We believe in using the power of collective human intelligence to ethically shape the future of AI.  The Mindrift platform, launched and powered by Toloka, connects domain experts with cutting-edge AI projects from innovative tech clients. Our mission is to unlock the potential of GenAI by tapping into real-world expertise from across the globe. We’re on the hunt for hands-on Python engineers for a new project focused on developing Model Context Protocol (MCP) servers and internal tools for running and evaluating agent behavior. You’ll implement base methods for agent action verification, integrate with internal and client infrastructures, and help fill tooling gaps across the team.Who we're looking for:Calling all security researchers, engineers, and penetration testers with a strong foundation in problem-solving, offensive security, and AI-related risk assessment.We’re looking for someone who can bring a hands-on approach to technical challenges, whether breaking into systems to expose weaknesses or building secure tools and processes. We value contributors with a passion for continuous learning, experimentation, and adaptability. What you’ll be doing: Developing and maintaining MCP-compatible evaluation servers Implementing logic to check agent actions against scenario definitions Creating or extending tools that writers and QAs use to test agents Working closely with infrastructure engineers to ensure compatibility Occasionally helping with test writing or debug sessions when needed Although we’re only looking for experts for this current project, contributors with consistent high-quality submissions may receive an invitation for ongoing collaboration across future projects. Requirements 4+ years of Python development experience, ideally in backend or tools Solid experience building APIs, testing frameworks, or protocol-based interfaces Understanding of Docker, Linux CLI, and HTTP-based communication Ability to integrate new tools into existing infrastructures Familiarity with how LLM agents are prompted, executed, and evaluated Clear documentation and communication skills - you’ll work with QA and writers We also value applicants who have: Experience with Model Context Protocol (MCP) or similar structured agent-server interfaces Knowledge of FastAPI or similar async web frameworks Experience working with LLM logs, scoring functions, or sandbox environments Ability to support dev environments (devcontainers, CI configs, linters) JS experience Benefits Get paid for your expertise, with rates that can go up to $47/hour depending on your skills, experience, and project needs. Take part in a flexible, remote, freelance project that fits around your primary professional or academic commitments. Participate in an advanced AI project and gain valuable experience to enhance your portfolio. Influence how future AI models understand and communicate in your field of expertise.

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At Mindrift, innovation meets opportunity. We believe in using the power of collective human intelligence to ethically shape the future of AI.  The Mindrift platform, launched and powered by Toloka, connects domain experts with cutting-edge AI projects from innovative tech clients. Our mission is to unlock the potential of GenAI by tapping into real-world expertise from across the globe. We’re on the hunt for hands-on Python engineers for a new project focused on developing Model Context Protocol (MCP) servers and internal tools for running and evaluating agent behavior. You’ll implement base methods for agent action verification, integrate with internal and client infrastructures, and help fill tooling gaps across the team.Who we're looking for:Calling all security researchers, engineers, and penetration testers with a strong foundation in problem-solving, offensive security, and AI-related risk assessment.We’re looking for someone who can bring a hands-on approach to technical challenges, whether breaking into systems to expose weaknesses or building secure tools and processes. We value contributors with a passion for continuous learning, experimentation, and adaptability. What you’ll be doing: Developing and maintaining MCP-compatible evaluation servers Implementing logic to check agent actions against scenario definitions Creating or extending tools that writers and QAs use to test agents Working closely with infrastructure engineers to ensure compatibility Occasionally helping with test writing or debug sessions when needed Although we’re only looking for experts for this current project, contributors with consistent high-quality submissions may receive an invitation for ongoing collaboration across future projects. Requirements 4+ years of Python development experience, ideally in backend or tools Solid experience building APIs, testing frameworks, or protocol-based interfaces Understanding of Docker, Linux CLI, and HTTP-based communication Ability to integrate new tools into existing infrastructures Familiarity with how LLM agents are prompted, executed, and evaluated Clear documentation and communication skills - you’ll work with QA and writers We also value applicants who have: Experience with Model Context Protocol (MCP) or similar structured agent-server interfaces Knowledge of FastAPI or similar async web frameworks Experience working with LLM logs, scoring functions, or sandbox environments Ability to support dev environments (devcontainers, CI configs, linters) JS experience Benefits Get paid for your expertise, with rates that can go up to $15/hour depending on your skills, experience, and project needs. Take part in a flexible, remote, freelance project that fits around your primary professional or academic commitments. Participate in an advanced AI project and gain valuable experience to enhance your portfolio. Influence how future AI models understand and communicate in your field of expertise.

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At Mindrift, innovation meets opportunity. We believe in using the power of collective human intelligence to ethically shape the future of AI.  The Mindrift platform, launched and powered by Toloka, connects domain experts with cutting-edge AI projects from innovative tech clients. Our mission is to unlock the potential of GenAI by tapping into real-world expertise from across the globe. We’re on the hunt for hands-on Python engineers for a new project focused on developing Model Context Protocol (MCP) servers and internal tools for running and evaluating agent behavior. You’ll implement base methods for agent action verification, integrate with internal and client infrastructures, and help fill tooling gaps across the team.Who we're looking for:Calling all security researchers, engineers, and penetration testers with a strong foundation in problem-solving, offensive security, and AI-related risk assessment.We’re looking for someone who can bring a hands-on approach to technical challenges, whether breaking into systems to expose weaknesses or building secure tools and processes. We value contributors with a passion for continuous learning, experimentation, and adaptability. What you’ll be doing: Developing and maintaining MCP-compatible evaluation servers Implementing logic to check agent actions against scenario definitions Creating or extending tools that writers and QAs use to test agents Working closely with infrastructure engineers to ensure compatibility Occasionally helping with test writing or debug sessions when needed Although we’re only looking for experts for this current project, contributors with consistent high-quality submissions may receive an invitation for ongoing collaboration across future projects. Requirements 4+ years of Python development experience, ideally in backend or tools Solid experience building APIs, testing frameworks, or protocol-based interfaces Understanding of Docker, Linux CLI, and HTTP-based communication Ability to integrate new tools into existing infrastructures Familiarity with how LLM agents are prompted, executed, and evaluated Clear documentation and communication skills - you’ll work with QA and writers We also value applicants who have: Experience with Model Context Protocol (MCP) or similar structured agent-server interfaces Knowledge of FastAPI or similar async web frameworks Experience working with LLM logs, scoring functions, or sandbox environments Ability to support dev environments (devcontainers, CI configs, linters) JS experience Benefits Get paid for your expertise, with rates that can go up to $38/hour depending on your skills, experience, and project needs. Take part in a flexible, remote, freelance project that fits around your primary professional or academic commitments. Participate in an advanced AI project and gain valuable experience to enhance your portfolio. Influence how future AI models understand and communicate in your field of expertise.

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At Mindrift, innovation meets opportunity. We believe in using the power of collective human intelligence to ethically shape the future of AI.  The Mindrift platform, launched and powered by Toloka, connects domain experts with cutting-edge AI projects from innovative tech clients. Our mission is to unlock the potential of GenAI by tapping into real-world expertise from across the globe. We’re on the hunt for hands-on Python engineers for a new project focused on developing Model Context Protocol (MCP) servers and internal tools for running and evaluating agent behavior. You’ll implement base methods for agent action verification, integrate with internal and client infrastructures, and help fill tooling gaps across the team.Who we're looking for:Calling all security researchers, engineers, and penetration testers with a strong foundation in problem-solving, offensive security, and AI-related risk assessment.We’re looking for someone who can bring a hands-on approach to technical challenges, whether breaking into systems to expose weaknesses or building secure tools and processes. We value contributors with a passion for continuous learning, experimentation, and adaptability. What you’ll be doing: Developing and maintaining MCP-compatible evaluation servers Implementing logic to check agent actions against scenario definitions Creating or extending tools that writers and QAs use to test agents Working closely with infrastructure engineers to ensure compatibility Occasionally helping with test writing or debug sessions when needed Although we’re only looking for experts for this current project, contributors with consistent high-quality submissions may receive an invitation for ongoing collaboration across future projects. Requirements 4+ years of Python development experience, ideally in backend or tools Solid experience building APIs, testing frameworks, or protocol-based interfaces Understanding of Docker, Linux CLI, and HTTP-based communication Ability to integrate new tools into existing infrastructures Familiarity with how LLM agents are prompted, executed, and evaluated Clear documentation and communication skills - you’ll work with QA and writers We also value applicants who have: Experience with Model Context Protocol (MCP) or similar structured agent-server interfaces Knowledge of FastAPI or similar async web frameworks Experience working with LLM logs, scoring functions, or sandbox environments Ability to support dev environments (devcontainers, CI configs, linters) JS experience Benefits Get paid for your expertise, with rates that can go up to $44/hour depending on your skills, experience, and project needs. Take part in a flexible, remote, freelance project that fits around your primary professional or academic commitments. Participate in an advanced AI project and gain valuable experience to enhance your portfolio. Influence how future AI models understand and communicate in your field of expertise.

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About the TeamThe Support Automation team at OpenAI scales the organization by applying cutting-edge AI models to real-world challenges, automating and enhancing work across the organization. From customer operations to engineering, we develop an ecosystem of automation products that empower our colleagues and drive impact. We're passionate about crafting products that serve those around us, blending rapid prototyping with a focus on long-term quality and reliability. By creating reusable solutions, we create patterns that can be applied across diverse domains within OpenAI.TLDR: this team leverages OpenAI technology to improve OpenAI, and you’ll have the opportunity to leverage the full extent of our tech (both public and pre-released) to accomplish this mission. About the RoleWe’re looking for a Backend Software Engineer with experience working in ML/LLM-heavy domains to help to design and build an evals infrastructure that measures the quality of OpenAI’s support automation. This is a deeply technical and highly cross-functional role where you’ll build robust systems and backend services that serve as the foundation for how knowledge is created, accessed, and applied across OpenAI. The role will especially focus on working closely with Data Science and Research partners to design and build evals at scale. In this role, you will:Design eval pipelines that are reliable, reproducible, and extendableBuild the infrastructure for continuous eval monitoring frameworks (regression/drift monitoring, building robust golden datasets) along with feedback loops that ultimately strengthen support automationDesign, build, and maintain backend services and APIs to support intelligent automation and knowledge systemsIntegrate and structure data across internal platforms, transforming it into formats optimized for use by downstream systems and AI workflows.Collaborate closely with data, research, and engineering teams to integrate OpenAI models into high-leverage workflowsOwn the full development lifecycle of new backend systems and internal platform capabilitiesBuild with scale and maintainability in mind, while rapidly iterating on new ideas You might be a great fit if you have:4+ years of backend engineering experience at product-driven companies (excluding internships)Proficiency in backend technologies. Our tech stack includes Python, FastAPI, and PostgresExperience designing and scaling distributed systems, APIs, or data processing pipelinesHave experience building AI agents or applications, including designing evals and improving performance through prompting or scaffoldingAre familiar with evaluation methods for LLMs and have worked with patterns like multi-agent workflows, tool use, or long context.Experience creating production evals and/or measuring performance of ML/LLM models at scaleA pragmatic mindset. You’re comfortable shipping iteratively while building toward a long-term visionAbout OpenAIOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.OpenAI Global Applicant Privacy PolicyAt OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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Factory is on the hunt for Enterprise Account Executives with deep knowledge of developer tools and AI to drive adoption across sophisticated enterprise organizations.What you will do and achieve:Lead enterprise sales cycles end-to-end. Build pipeline, manage evaluations, negotiate commercial terms, and close multi-stakeholder deals at Fortune 1000 companies and high-growth enterprises.Serve as the expert in conversations with CIOs, CTOs, engineering leaders, and procurement teams, demonstrating deep understanding of Factory’s platform and its enterprise value proposition.Work directly with the CEO, VP of Sales, and closely with the product and engineering teams to customize solutions that meet the specific needs of each client, ensuring a seamless integration of Factory's Droids into their existing workflows.Educate and guide clients through the technical and practical aspects of implementing AI-driven development tools, addressing any concerns and showcasing the potential ROI.Collaborate with marketing to refine sales strategies and materials based on market feedback, contributing to the overall growth and success of Factory.Establish Factory as a trusted partner for enterprise customers, ensuring expansion and renewal opportunities by aligning to their long-term innovation roadmaps.Qualifications:7+ years of sales experience, including 4+ years selling into enterprise accounts with complex decision-making processes.Proven track record of achieving and exceeding sales targets in a technology-driven sales environment, with the ability to manage complex sales cycles from start to finish.Exceptional technical aptitude, capable of quickly learning new technologies and articulating complex solutions in a straightforward manner.Strong interpersonal and communication skills, with the ability to engage effectively with technical decision-makers and C-level executives.Self-motivated and able to thrive in a dynamic, fast-paced startup environment. A genuine enthusiasm for AI and software development is a plus.Prior experience as a sales engineer or in a role requiring deep product demonstrations and technical discussions is highly desirable.The team goes into the office 5 days a week in San Francisco or New York City.

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Why HarveyAt Harvey, we’re transforming how legal and professional services operate — not incrementally, but end-to-end. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come.This is a rare chance to help build a generational company at a true inflection point. With 500+ customers in 50+ countries, strong product-market fit, and world-class investor support, we’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched.Our team is sharp, motivated, and deeply committed to the mission. We move fast, operate with intensity, and take real ownership of the problems we tackle — from early thinking to long-term outcomes. We stay close to our customers — from leadership to engineers — and work together to solve real problems with urgency and care. If you thrive in ambiguity, push for excellence, and want to help shape the future of work alongside others who raise the bar, we invite you to build with us.At Harvey, the future of professional services is being written today — and we’re just getting started.Role OverviewAs an iOS Engineer, you'll own and lead mobile engineering projects, building enterprise-grade AI experiences for legal professionals on iOS devices. You'll architect and implement complex mobile features, mentor other engineers, and drive technical decisions that shape Harvey's mobile platform strategy.This role requires deep technical expertise across iOS development, AI integration, and enterprise software. You'll work across multiple product lines, collaborating with our AI research, product, and backend engineering teams. You'll be part of an in-person team in San Francisco, solving complex problems at the intersection of AI, mobile development, and professional services.What You'll DoEnterprise-scale iOS application architecture using Swift and SwiftUI.Real-time AI assistant interactions with WebSocket integration across mobile devices.Voice dictation and transcription systems for on-the-go professional workflows.Document scanning and camera integration for mobile document capture.Enterprise-grade PDF viewing and annotation systems for complex documents.Government-level security and authentication systems for sensitive professional matters.Multi-tenant document vault collaboration with scalable permission systems.What You Have5+ YoE (post-BS/MS) in a product focused mobile iOS engineering role.Track record of building fast-growing mobile products using Swift and SwiftUI technologies.Track record of shipping highly intuitive mobile products, strong attention to detail.Experience building iOS applications that can support multiple product lines.Strong programming skills and general Computer Science knowledge.Grit - experience working at early-stage startups is a plus.WebRTC, voice agent development, AI/ML integration, or document processing experience is a plus.Compensation Range$200,000 - $260,000 USDPlease find our CA applicant privacy notice here.#LI-KV1Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing interview-help@harvey.ai.