Вакансии

Meet Arago and the Aragonians Arago is an AI and computer hardware company whose mission is to drive the course of history forward. We do so by accelerating breakthroughs at the intersection of AI and semiconductors. Founded in 2024 by AI researchers and physicists with deep expertise in photonics, electronics, software, mathematics, and machine learning, Arago brings together a lean team of engineers and scientists from the world’s top companies and research labs. Composed of nine nationalities and operating from hubs in France, North America, and Israel, we believe in great science and fast achievements. Our work is guided by these core principles: Do great things: we deliver work we’re proud to sign our name to. High velocity: speed matters. We move quickly, one step at a time. One unit: we’re all in this together, with relationships grounded in trust, respect, and camaraderie. Arago is backed by executives from Apple, Arm, Nvidia, Microsoft, and Hugging Face, as well as prominent US and European deeptech venture firms and exited founders. What you’ll do As a Senior AI/ML Scientist, you will work at the intersection of modern AI models, numerical precision, and novel computing architectures. Your mission will be to develop the methods that allow AI models to run accurately, efficiently, and reliably on Arago’s computing system. This position combines strong quantization and “digital twin” aspects: understanding how frontier models tolerate reduced precision, defining the right numerical formats and quantization strategies, and building software representations of the processor to model the physical effects that impact AI model accuracy. This role is both scientific and practical. You will help shape the bridge between AI models and Arago’s hardware. Required Skills and Experience Background in mathematics, physics, computer science, or a related quantitative field. Strong interest and skills in applied mathematics and statistics. Strong experience with quantization of machine learning and AI models. Strong understanding of modern model architectures, including language models, diffusion models, video generation models, and/or world models. Experience studying the impact of numerical precision, noise, or approximation on model accuracy. Experience with inference performance optimization. Good knowledge of computer architecture, GPU architecture, or parallel computing. Ability to build rigorous experimentation pipelines and translate research insights into practical engineering decisions. GitHub profile with recent and relevant projects. Language: English at a proficient level. French is a plus. Responsibilities Develop Arago’s quantization strategy for modern AI models, including precision studies, numerical format exploration, and model-level techniques to preserve accuracy under constrained precision. Study the impact of analog noise on the performance and inference accuracy of machine learning models, including language models, diffusion, video generation, and world models. Develop simulation tools to model analog behavior with minimal computational overhead. Build and maintain Arago's internal experimentation pipelines for precision and performance studies on both physical and emulated prototypes. Act as a technical point of contact between clients and Arago: analyze, port, and optimize client models onto Arago hardware, balancing throughput and accuracy. Collaborate with the software and digital architecture teams to support architectural enhancements based on the operator content of frontier model architectures. Pay and benefits Competitive cash compensation, with final package based on location, experience, and the pay of team members in similar positions. Meaningful stock option plan offered at the earliest stage of the company (included in the majority of full time offers). Relocation bonus and coverage of moving expenses for relocation within 20 minutes of the company’s location. Healthcare coverage (including family-friendly options), pension contributions, professional development support, and 25 days of PTO, in addition to public holidays. Ownership of a key technical domain, with significant vertical and/or horizontal growth opportunities, based on performance and individual drive. Reimbursement of 50% of the public transport subscription fee. A high-paced, multicultural (with 10 nationalities), and engineering-led environment.

Location: London Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. 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. We have 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 moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE  OVERVIEW As a Mid Market Account Executive at Harvey, you will drive the growth and success of our AI solutions within the legal and professional services markets. You will be responsible for establishing and growing relationships with mid-sized law firms and corporate and financial services clients, understanding their unique challenges, and presenting AI solutions that streamline their processes and boost productivity. Your ability to articulate the value of Harvey's products, coupled with your passion for groundbreaking AI technologies, will help us shape the future of knowledge work. WHAT YOU'LL DO - Own your book of business by managing a named account list, prioritizing and cultivating inbound leads, and outbounding directly to high-potential prospects. - Manage the full customer lifecycle from prospecting to contracting, onboarding, growing, and renewals. - Achieve and exceed revenue targets and other key sales metrics. - Build strong relationships with key decision-makers and stakeholders, understanding their pain points and aligning Harvey's solutions with their needs. - Conduct high velocity, tailored client evaluations, including product demonstrations and presentations, showcasing the power of Harvey's AI systems to prospects and clients. - Effectively work cross-functionally across the organization to shape Harvey’s solutions to meet customer needs. Collaborate closely with the engineering and product teams to stay updated on the latest AI advancements and tailor solutions to meet client goals. - Develop our sales playbook to enable scaling, documenting learnings that can be applied across accounts. - Travel may be required from time to time, including visits to customer office locations and company offices. WHAT YOU HAVE  - Proven track record of selling complex software solutions, with the ability to successfully execute on a consultative, solutions-oriented, value-based selling methodology.  - Excited about prospecting, and capable of independently leading a sales cycle from start to finish. - Ability to independently manage a pipeline, accurately forecast key sales performance metrics, and consistently maintain CRM hygiene. - Ability to lead a complex, multi-threaded sale with stakeholders ranging from executives across various functions to day-to-day product users – especially the ability to convey technical concepts to non-technical audiences. - Demonstrated passion for Harvey’s mission and strong understanding of AI and its potential applications in knowledge work. Interest in the legal profession and helping lawyers do their jobs better and more efficiently.  - Team player who can collaborate effectively across internal functions (product, legal, etc.) to achieve common goals. - Energized by contributing to the development of our team, sales processes, and culture, refining the value proposition of our solutions and creating sales resources to drive our success. - Experience working in or adjacent to the Legal industry a plus but not required. DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES [HERE https://www.notion.so/harveyai/Harvey-Candidate-Privacy-Policies-319ac3fcdd7a803bb807d5094f249922]. #LI-KS1 Harvey 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 accommodations@harvey.ai

Location: Singapore Workplace: remote Help Us Build The Future of Travel At Airalo, we're making it easier for people to stay connected wherever they travel. As the world's first eSIM store, we help millions of travelers access affordable mobile data in 200+ countries and regions around the world. Today, we're a team of 400+ people across 60+ countries, building a product used by travelers every day. We've grown quickly, but we've worked hard to keep what matters: trust, ownership, and the freedom for people to do great work without unnecessary layers or bureaucracy. We're fully remote by design, genuinely global, and united by a shared mission to make travel simpler for everyone. Your Next Destination Location: Remote. Contract: Full-time, permanent. Benefits: Learn more about our benefits here in this link - https://airalo-public.notion.site/Benefits-25396a97ffca81fb9bc1f0be479f1be3?pvs=74  Languages: English is our main working language day to day, so you'll need to be comfortable communicating in it both in meetings and async.   As the Director of Partnerships for APAC, you will lead Airalo’s partnership efforts across our four key Partnerships streams - Strategic Partnerships, Channel Sales and Corporate Sales for APAC What You'll Do: Work closely with the VP of Partnerships and other team members in the department Build, lead, and groom a team of Partnerships Managers, further supported by in-country teams for Channel Sales, and Corporate Sales for key countries within APAC Be a core member of the Partnerships Leadership Team that shapes Airalo’s global Partnerships strategy Shape the future of Airalo’s Partnerships products by working closely with the Partner Experience Product and Engineering teams Find, identify, prospect, and lead negotiations with large strategic partners within APAC Maintain relationships with key partners to drive partner profitability and grow the B2B/B2B2C partnerships' contribution to the business Refine the Airalo Partnerships roadmap to anticipate and fulfill partner needs, thereby maintaining Airalo’s status as the preferred provider across industry partners in APAC Collaborate and work with different internal and external stakeholders to develop and execute joint projects/opportunities Define and improve SOPs for the Partnerships department to streamline operations and improve efficiency across workflows Represent Airalo at leading industry events and conferences across APAC Own the Airalo Partnerships OKRs for APAC What You'll Bring: 10+ years of experience in partnerships, sales, account management, or business development in a high-growth B2B and/or B2B2C environment 5+ years of prior experience building and managing high-performance teams Experience in Traveltech / Consumer tech industries will be an advantage Partner-first mentality and a genuine passion for helping your stakeholders succeed while creating win-win relationships Ability to develop Airalo’s unique story and the problem we solve for our users, making it a compelling partnership proposition Ability to employ, and teach your team, various sales techniques, including effective questioning, objection handling, consultative selling, and solution selling Ability to develop thought leadership skills and build trust with key stakeholders - internally and externally Ability to multi-task in a complex & matrix environment Experience with sales and partnerships tools Fluent verbal and written communication skills in Korean is nice to have. If you are interested in this position, please apply to the ad.  Why People Join Us We started Airalo to make staying connected effortless, wherever you are in the world. Today, millions of travelers rely on our eSIMs, and many of the people building the product were customers first. Our team spans 60+ countries, united by a shared belief that great work happens when people are trusted to own what they do. There's trust to own what you do, space to focus without constant layers of process, and a clear sense of what you're responsible for from day one. As Airalo continues to grow, so do the opportunities to learn, take on new challenges, and make a real impact - from anywhere in the world. Before You Hit Apply By applying, you acknowledge and agree that, in case of successful application, Airalo may request to run background checks as a condition for entering into an agreement with you. Rest assured that these checks will only occur upon your prior consent and at the end of the selection process, and will be strictly limited to what is allowed under the laws that are applicable to you. All data that you share or that we collect in connection with such checks will be processed in accordance with our Privacy Policy, available here: www.airalo.com/more-info/privacy-policy?srsltid=AfmBOooBT0rXAj1FaNelZ3VfN0wvhwzvAoxdtHnOKSVETpiSjiXVuycy    We sincerely thank all applicants in advance for submitting their interest in this opportunity. Airalo is an equal-opportunity employer and values diversity, equity & inclusion. We do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We are committed to providing reasonable accommodations upon request for individuals with disabilities throughout our job interview process.

Location: San Francisco, CA | New York City, NY 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 Anthropic's researchers generate and depend on enormous amounts of data — training runs, evaluations, RL transcripts, annotations etc... The Research Data Platform team builds the systems that make that data easy to produce, find, query, and trust. We work in two modes: we build platform components that other systems plug into (for example, a metrics library that training frameworks integrate to record and retrieve run data), and we own core datasets end to end (for example, the data pipeline behind RL transcripts). As the team's tech lead, your job starts with our users. You'll work directly with researchers — and with the engineers who support them — to understand how they actually work, where managing data slows them down, and where a well-built platform component or a well-curated dataset would change what's possible. You'll turn what you learn into technical direction for the team, in partnership with the team's manager, who owns priorities and people. A central ambition you'll drive: a small set of canonical, well-documented datasets — starting with the core data model for RL — that researchers trust and standardize on, rather than every team managing its own copies. You'll spend your first few months close to the code and close to users: shipping improvements in our core systems, embedding with research teams, and building your own map of their workflows. As the team grows, this role has a natural path into formal people leadership for someone who wants it. Responsibilities Work directly with researchers and the engineers supporting them to understand their workflows, identify the highest-leverage opportunities, and shape what the team builds next Set the technical direction for the team across our platform and our datasets Design and build platform components that other teams plug into — libraries, services, and interfaces such as the metrics library used by training frameworks Own core datasets end to end: the pipelines that produce them, the schemas that define them, and the documentation and guarantees that make researchers trust them Drive convergence toward canonical datasets — including the core data model for RL transcripts — that research teams standardize on Lead complex, multi-quarter projects that span several systems and teams, staying hands-on in the code Raise the team's technical bar through design reviews, mentorship, and the quality of your own work You may be a good fit if you: Have built and operated data-intensive systems at scale — pipelines, storage layers, query systems — with strong instincts for data modeling and schema design that hold up as usage grows Have set technical direction for a team, or owned the architecture of a data platform that other teams build on Treat internal users as customers: you do the discovery work, iterate with users, and measure success by adoption rather than by shipping Understand that researchers aren’t typical internal customers — the work is exploratory by nature, workflows differ from team to team, and requirements are discovered through experiments rather than specified up front Can build for that motion — keeping interfaces stable and data trustworthy while use cases change underneath you, and judging when a quick, disposable solution serves research better than a durable one Lead through influence — aligning engineers and stakeholders without relying on formal authority Are results-oriented and pragmatic, willing to do unglamorous work when it's the highest-leverage thing Are excited about learning the fundamentals of machine learning research (deep ML expertise is not required) Care about the societal impacts of your work Strong candidates may also have Experience with large-scale ETL and columnar or analytical storage (e.g., Spark, BigQuery, ClickHouse, DuckDB, Parquet) Experience with metrics or experiment-tracking systems, or high-volume time-series data Experience with dataset management, cataloging, or lineage tooling Built developer tooling or internal data platforms for demanding technical users — including in domains like quantitative trading, where fast-moving, exploratory data work looks a lot like research A working knowledge of machine learning Worked in, or closely with, an ML research lab Interest in — or experience with — people management and growing engineers The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $405,000 — $850,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position 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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. 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.

Location: Remote, Worldwide Workplace: remote About Distru Distru is the #1 ERP in the cannabis industry with $15B in sales processed through our platform. We've built a battle-tested ERP and B2B eCommerce platform that powers inventory, manufacturing, sales, and logistics, and we're now building AI infrastructure on top of it to give commercial businesses their all-in-one AI stack. We're growing and profitable, with 5/5 stars on Glassdoor. Our investors include Felicis Ventures, Global Founders Capital, Poseidon Asset Management, and Village Global, who have funded companies such as Shopify, Cruise, HelloFresh, Facebook, Slack, and Opendoor. Get to know the team, our culture and our full benefits at distru.com/careers! The Role AI is at an inflection point for enterprise use, and AI assistants like Claude, Codex, and Grok are seeing record adoption at work. We believe the system of record has never been more valuable for organizing the data AI acts on. We started with our AI Order Agent, now rolled out across our customer base, which lets buyers submit orders from any source in any format. It's the first piece of a much bigger agentic ecosystem we’re building, and we're moving most of our engineering effort to AI-first work to build it. You'll work directly with our Director of AI Engineering to own the technical buildout of our AI product suite, including: Agentic harness: a multi-agent system that safely operates across a business's core tools (ERP, CRM, spreadsheets, calendars, email, analytics, compliance systems) MCP: our MCP that connects Distru to external AI harnesses Context Layer: our context layer that ingests customer data, builds memories and profiles, and feeds back into our harness to create more personalized AI experiences for our customers Evals: the eval suites that make our agents reliable in production And more… You’ll be working directly on the AI system from the ground up and make strong, opinionated calls on the agentic stack and where it goes next. The AI space moves fast and the specifics will change, so this technical vision is something you'll mold. You'll report to the VP of Engineering and the Director of AI Engineering, and work closely with the rest of the product team, eng team, and our customers. What you'll do Agentic engineering Architect and build a production multi-agent system that can safely take actions across Distru and our customer’s core systems Iterate and maintain the MCP that connects Distru to Claude & Codex. Own reliability, observability, and durable execution end to end. The harness takes real actions on customers' data, so the bar is high. Write evals to improve our agentic systems from real customer use cases Build a unified data system that pulls data from multiple sources into a singular data layer that can be exposed to Claude & Codex via an MCP Build a contextual memory system that ingests our customers' data and improves how our agents work for them AI research & experimentation Keep pace with the latest agentic frameworks, harnesses, toolkits, models, and bring in better approaches as they emerge Rapidly prototype new ideas to present to our team and our customers Engineering workflow Build hands-on with Claude Code and similar tools as part of your own workflow Improve our agentic coding workflow and bring new discoveries to the team What success looks like at 6 months You've shipped core improvements to our harness in production that our customers use daily, with clear observability and iteration for improvement You’ve shipped and iterated on many MCP tools and improvements Every agent you own has an eval suite and observability, so the team catches regressions before customers do You own a part of the agentic stack and are the go-to person for it across the company You’ve built prototypes on how our agentic infrastructure can improve (i.e. a new way to retrieve memories, an agentic onboarding process for our customers) What we look for AI fluency For every AI role, we look for three things: Tool fluency: you build with Claude Code or similar every day, you've built your own skills, agents, or workflows, and you can explain why your setup looks the way it does. Workflow fluency: you write evals before you trust a prompt, and you know when a model is the wrong tool and plain code is the right one. Build fluency: you've put agents in front of real users, with guardrails, observability, and a way to roll back. You use AI tools daily and can tell us specifically where your fluency is strong and where you're still building it. Must have 5+ years in full-stack development, ideally on B2B SaaS applications Multi-agent harnesses: hands-on experience building multi-agent harnesses in production, not just prototypes or personal projects MCPs: you've built MCPs that are used in production Production systems: a strong grasp of reliability, observability, permissions, and safe workflow execution Product and engineering: you've operated as both, and you're comfortable owning scoping and decisions, not just implementation Modern stack: proficiency in React, TypeScript, Node, PostgreSQL, GraphQL, and LangGraph, and you pick up new tools and frameworks quickly Startup agility: you've worked at an early-stage startup (under 20 engineers) and operated well in ambiguous, unstructured environments Low ego: you're team-first and measure success by what shipped and whether it worked, not by internal politics Clear communication: you raise concerns and propose solutions before being asked Strong signal Background building supply chain, ERP, CRM, B2B marketplace, or accounting software UX design experience Agentic systems work beyond the must-haves, such as evaluation frameworks or agent-to-agent protocols Experience using Claude Code (or similar) to build products on your own Cannabis industry experience How we work We love building with AI. Trying new models the week they drop, building agents for fun, and forming strong opinions on what works. We invest in it with company-wide AI growth with classes and workshops, AI demo days, AI hackathons, and access to best-in-class models and tools. Taste in building. A lot of this role comes down to knowing what to build, what to cut, and what a great agentic experience feels like for the user. We stay close to the customer. You'll talk to customers and our GTM team directly, not through a chain of tickets. You'll build on what we've learned. You'll have access to the team's combined AI knowledge and the processes and skills we've built. For the full picture of our culture and who thrives here, see distru.com/careers . Benefits Our careers page is the best way to get to know us: the full benefits, our yearly offsites, who thrives here, and what the team says about working at Distru. Here are a few highlights (exact benefits vary by country and employment type): Fully remote across 4 continents Employee-friendly option terms: after 2 years, a 10-year window to exercise if you leave 18 days PTO + 11 holidays (sick days don't count toward PTO) Medical, dental, vision + 401(k) for US employees The best AI tools available and a generous AI stipend for everything else Yearly in-person team offsites Interview process Application questions: three short written questions in Lever on how you build with LLMs Recruiter screen (30 min): your background, the most complex AI product you've worked on, and your personal AI tool stack Technical interview (45–60 min): a deep dive into a complex product you've built, a live harness design discussion, and a screen-share walkthrough of your day-to-day setup Harness take-home (3–4 hours): spec a real feature on our agentic harness across product and UX, system design, and implementation details Take-home review (60 min): a technical deep dive into your submission with two engineers, including how your design holds up when a constraint changes References and offer Distru was formed by an environment of mutual respect and trust made up by people working together without regard to race, color, religion, sex, pregnancy (including childbirth, lactation and related medical conditions), national origin, age, physical and mental disability, marital status, sexual orientation, gender identity, gender expression, genetic information (including characteristics and testing), military and veteran status, and any other characteristic protected by law. We believe that diversity and inclusion among our team members is critical to our success and we proactively strive to recruit, develop and retain the best and brightest people from the most diverse candidate pools we can find all over the world. Where you land in the range depends on your experience and skills.

Location: San Francisco, California Workplace: Hybrid WHO WE ARE Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. This is NOT a new grad role! This role is for candidates with 0-2 YOE and can start full time right away. ABOUT THE ROLE As an engineer at Notion, you’ll help shape core user experiences and accelerate how people discover value in Notion. You'll tackle meaningful challenges with increasing autonomy, crafting code that millions of users will experience. You'll take ownership of projects that matter, make critical technical decisions, and contribute your unique perspective to our product vision. Working alongside passionate experts across design, product, and data, you'll help shape the future of how people work. We're looking for an Early Career AI Engineer to join as a strategic partner in shaping Notion's AI vision. You'll work on cutting-edge AI-powered features, leveraging LLMs, embeddings, and other AI technologies to make Notion more intelligent and capable. This role may be aligned to one of multiple AI-focused teams at Notion. Depending on team match and business needs, you could work on: - AI product engineering: building model-powered features end-to-end (UX, APIs, retrieval, orchestration, quality, and reliability) - Model & systems engineering: improving model integration and performance (latency, cost, safety, robustness) and building the infrastructure that supports model serving and experimentation - Evaluation & quality (evals): creating evaluation frameworks and automated/ human-in-the-loop testing to measure and improve model and product quality WHAT YOU’LL ACHIEVE - Partner with your team to prototype and ship an AI-powered product improvement - Own a scoped productionization project: integrate a new model/technique into an existing workflow, add monitoring + guardrails, or improve latency/cost/reliability. - Contribute to evals and iteration loops: build or extend an evaluation set, run experiments, analyze results, and translate learnings into product or system changes. SKILLS YOU'LL NEED TO BRING - You have less than two years of engineering experience. You have solid fundamentals in data structures, algorithms, and distributed systems, with a customer-minded, pragmatic approach to solving problems. - Expertise building and prototyping: You’re excited to build and iterate quickly, and you’ve started exploring AI/ML through coursework, projects, internships, or hackathons. You’re comfortable learning how different parts of a product fit together (UI, APIs, data), have some familiarity with relational databases like Postgres or MySQL, and can take an idea from prototype to a working feature with guidance. - Thoughtful problem-solving: You approach problems holistically, starting with a clear and accurate understanding of the context. You think about the implications of what you're building and how it will impact real people's lives. You can navigate ambiguity successfully, decompose complex problems into clean solutions, while also balancing the business impact of what you’re building. - Impact-driven approach to technology: You see technologies as tools to achieve user impact rather than ends in themselves. You care more about building successful systems that solve real problems than about using specific tech stacks or following trends. You stay current with the latest tools like Cursor, Claude Code, and other AI-assisted development environments, you're pragmatic about choosing the right tool for the job, focusing on what delivers the most value to users and the business. - Proactive communication and high agency: You own your work, communicating clearly about progress and blockers. You don't wait for instructions for every step but rather show initiative in identifying what needs to be done and driving projects forward. You ask questions when needed while independently finding solutions to problems. NICE TO HAVES - You have experience with any part of our technology stack: React, TypeScript, Node.js, Postgres, and Elasticsearch. - You care about the interaction between technology and society, the ways in which they inform each other, and our responsibility as technologists to be conscious of that relationship. - You've heard of computing pioneers like Ada Lovelace, Douglas Engelbart, Alan Kay, and others—and understand why we're big fans of their work. Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. For roles based in San Francisco and New York, the estimated base salary range for this role is $130,000-$150,000. By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy https://notion.notion.site/Notion-Global-Recruiting-Privacy-Policy-fc3eb4e829354a26a2bb6fd5e289b550. https://dev.notion.so/a3ce416456924276a59de91bca740028?pvs=21 #LI-Onsite   A NOTE ON AI You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on. EQUAL OPPORTUNITY & ACCOMMODATIONS We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know. Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.

Location: San Francisco, California WHO WE ARE Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. This is NOT a new grad role! This role is for candidates with 0-2 YOE and can start full time right away. ABOUT THE ROLE As an Early Career Software Engineer at Notion, you’ll help shape core user experiences and accelerate how people discover value in Notion. You'll tackle meaningful challenges with increasing autonomy, crafting code that millions of users will experience. You'll take ownership of projects that matter, make critical technical decisions, and contribute your unique perspective to our product vision. Working alongside passionate experts across design, product, and data, you'll help shape the future of how people work. We’re hiring early career engineers to join us across several teams at Notion. Your recruiter will partner with you to find the team that aligns best with your interests and where you can make the highest impact. WHAT YOU’LL ACHIEVE - Plan, build, and ship product features from conception to launch, then iterate based on insights and customer feedback. - Improve performance, reliability, and quality of key experiences used by millions of users and thousands of organizations. - Run experiments that drive activation, retention, collaboration, and revenue, partnering with design, data science, and research. - Build internal tools and platform improvements that help all engineers ship quickly and safely. - Contribute to team norms, code quality, and a culture of learning and thoughtful tradeoffs. AREAS YOU MIGHT WORK ON - Acquisition: Landing pages, signup/auth flows, pricing + plan selection, workspace creation, invitations during onboarding, and experiments that improve conversion and time-to-value. - Adoption / Activation: In-product education, templates, reminders, onboarding tours, lifecycle nudges, and measurement frameworks that increase depth of use, retention, and habit formation. - Experimentation & Measurement (cross-cutting): A/B testing infrastructure, analytics event quality, dashboards, and iteration loops that let teams learn quickly and ship confidently. SKILLS YOU'LL NEED TO BRING - You have less than two years of engineering experience. You have solid fundamentals in data structures, algorithms, and distributed systems, with a customer-minded, pragmatic approach to solving problems. - Thoughtful problem-solving: You approach problems holistically, starting with a clear and accurate understanding of the context. You think about the implications of what you're building and how it will impact real people's lives. You can navigate ambiguity successfully, decompose complex problems into clean solutions, while also balancing the business impact of what you’re building. - Impact-driven approach to technology: You see technologies as tools to achieve user impact rather than ends in themselves. You care more about building successful systems that solve real problems than about using specific tech stacks or following trends. You stay current with the latest tools like Cursor, Claude Code, and other AI-assisted development environments, you're pragmatic about choosing the right tool for the job, focusing on what delivers the most value to users and the business. - Proactive communication and high agency: You own your work, communicating clearly about progress and blockers. You don't wait for instructions for every step but rather show initiative in identifying what needs to be done and driving projects forward. You ask questions when needed while independently finding solutions to problems. NICE TO HAVES - You have experience with any part of our technology stack: React, TypeScript, Node.js, Postgres, and Elasticsearch. - You care about the interaction between technology and society, the ways in which they inform each other, and our responsibility as technologists to be conscious of that relationship. - You've heard of computing pioneers like Ada Lovelace, Douglas Engelbart, Alan Kay, and others—and understand why we're big fans of their work. Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. For roles based in San Francisco or New York City, the estimated salary range for this role is $130,000 - $150,000 By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy https://notion.notion.site/Notion-Global-Recruiting-Privacy-Policy-fc3eb4e829354a26a2bb6fd5e289b550. https://dev.notion.so/a3ce416456924276a59de91bca740028?pvs=21#LI-Onsite A NOTE ON AI You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on. EQUAL OPPORTUNITY & ACCOMMODATIONS We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know. Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.

Location: San Francisco; New York Workplace: Hybrid ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE - Lead large-scale brand campaigns across digital, events, and out-of-home. - Partner with engineering and product marketing on major product launches. - Turn complex technical ideas into clear, compelling visual communication. - Evolve the Baseten visual identity into a brand system that scales. - Own projects end-to-end, from concept through launch, collaborating directly with marketing, product, engineering, and leadership. - Shape our employer brand and help define how new hires experience Baseten. - Raise the bar for craft across every customer touchpoint. REQUIREMENTS - You have a portfolio of exceptional work with outstanding visual craft and attention to detail. - You care deeply about quality and sweat the details. - You communicate ideas clearly and thrive in collaborative environments. - You know when to build systems, not just execute on assets. - You default to ownership and are comfortable leading highly cross-functional projects from concept through launch. - You're excited by technical products and know how to make complex ideas feel consumable without oversimplifying them. - You thrive in a fast-moving environment with a high bar for quality. - You have strong opinions about design and can articulate why something works - and why it doesn't. NICE TO HAVE - Motion design and animation experience - Experience designing for developers or highly technical audiences. BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

Location: Tel Aviv-Yafo, Tel Aviv District, Israel About Aidoc Aidoc is the market leader in healthcare AI and has developed the world's largest clinical frontier model, supporting nearly 50 million patients each year. Aidoc is deployed in more than 2,000 medical centers worldwide. Since our founding in 2016, Aidoc has raised over $500 million and achieved a record number of FDA-cleared solutions. Medical diagnosis is hitting a breaking point, where the number of physicians hasn't kept up with the rapidly growing patient load. This leads to misdiagnosis and treatment delays that result in hundreds of thousands of deaths every year. Aidoc assists clinicians by precisely highlighting diseases directly on medical images, preventing misdiagnosis and ensuring that urgent patients receive the immediate attention they need. About this role As a SecOps Engineer, you will help protect Aidoc’s cloud environments, products, corporate systems, and sensitive healthcare data by investigating SIEM alerts, supporting incident response, and improving the quality of security monitoring and operations. This is a hands-on security operations role for someone who can analyze security signals, understand real risk, communicate clearly, and help the organization detect, investigate, and respond quickly and effectively to security events. You will work closely with real production environments, where accurate investigation, clear documentation, and practical escalation are critical to protecting sensitive healthcare data, customer trust, and the reliability of Aidoc’s clinical AI platform. Responsibilities Own the end-to-end investigation of SIEM alerts across cloud, product, identity, endpoint, and SaaS environments: analyze the relevant evidence, separate false positives from real threats, and prioritize cases based on risk and impact. Escalate high-risk findings with a clear summary of what happened, what is affected, why it matters, and what actions are required. Support incident response by collecting evidence, assisting with containment, tracking remediation, and maintaining clear investigation records for internal reviews, compliance needs, and post-incident learning. Improve SIEM rules, dashboards, alert logic, playbooks, telemetry coverage, and detection quality to reduce noise and strengthen security monitoring. Work with Security, IT, DevOps, R&D, Product Security, and Compliance teams to resolve issues and improve security operations. Requirements 2+ years of experience in Security Operations, SOC analysis, detection and response, incident response, cloud security operations, or a similar hands-on security role. Hands-on experience with SIEM-based investigations, including alert triage, log analysis, event correlation, evidence review, case prioritization, and escalation. Experience working with security telemetry from cloud platforms, identity providers, endpoints, SaaS systems, network tools, application logs, and production environments. Familiarity with cloud-native environments, including IAM, storage access, workloads, Kubernetes, containers, APIs, logging, monitoring, and CI/CD pipelines. Understanding of common attack techniques, including credential compromise, phishing, privilege escalation, suspicious API activity, malware, data exposure, lateral movement, and cloud misconfigurations. Experience with identity and endpoint investigation, including SSO, MFA, service accounts, privileged access, EDR alerts, and suspicious user or device activity. Ability to use query or scripting languages such as KQL, SPL, SQL, Python, Bash, or similar. Familiarity with incident response workflows, case management, evidence collection, remediation tracking, and post-incident review. Strong analytical judgment, with the ability to separate false positives from real risk and explain findings clearly. Ability to work independently, document investigations clearly, and escalate issues with the right level of urgency. Strong communication skills and the ability to work with Security, IT, DevOps, R&D, Product Security, Compliance, and business stakeholders. Close attention to detail, strong ownership, and comfort working in a fast-moving production environment. Additional Strengths Experience in healthcare, healthtech, medical devices, digital health, or regulated software environments. Familiarity with HIPAA, GDPR, SOC 2, ISO 27001, NIST CSF, or similar security and privacy frameworks. Familiarity with MITRE ATT&CK, detection logic, attacker behavior, and investigation playbooks. Experience with threat hunting, detection engineering, malware analysis, forensics, or advanced incident response. Experience with SOAR platforms, case management systems, threat intelligence feeds, detection-as-code, or SOC automation. Experience improving SOC metrics such as alert noise, false-positive rate, time to triage, time to escalation, and investigation quality. Experience working with sensitive data, PHI/PII, customer-facing environments, or audit-ready evidence collection. Working at Aidoc Our Perks: Be part of something big - using cutting-edge technologies to transform the Healthcare industry (while saving patients’ lives) We work in a hybrid model, with our new offices located at 34 HaMasger Street in Tel Aviv and parking for employees. Amazing and healthy breakfasts and lunches prepared daily by our personal chef! Stocked up kitchen & meal card Wellness: Aidoc employees-only gym, plus Pilates, Yoga, and functional workouts classes. Amazing culture - collaborative, transparent & fun! Attractive compensation package & benefits Aidoc is deeply committed to creating an inclusive workplace, and to the principle of equal opportunity for all individuals. We prohibit discrimination and harassment based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other status protected by law.

Location: San Francisco, CA | New York City, NY 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 Anthropic's Research Productivity organization builds the infrastructure and systems that accelerate research across Anthropic, including the tools that help our research process get faster and more effective over time. We're looking for an experienced software engineer to join us as we scale this infrastructure at a moment when both demand and scope are growing extremely quickly. This team operates like a startup within a startup. You'll be a strong fit if you like thinking from first principles, iterating fast on infrastructure, and tackling reliability and scalability challenges head-on as the products built on top of your systems evolve underneath you. You'll independently scope complex, multi-month projects, drive cross-org alignment through ambiguous problem spaces, and make the architectural decisions that shape how the infrastructure behind our research tooling gets built. You'll partner directly with research teams to understand their workflows, anticipate how their requirements will change, and design and scale infrastructure that can keep pace. Responsibilities Design, build, and scale infrastructure and systems that support rapidly increasing usage, where requirements and workload continue to evolve as the products built on top of them evolve Independently scope and lead complex, multi-month engineering projects, from an ambiguous starting point through to a production system Drive cross-organizational alignment on technical direction, working through ambiguous problem spaces with multiple stakeholders and teams Make architectural decisions that shape the foundation of research infrastructure and tooling across Anthropic Partner directly with researchers to deeply understand their workflows, then anticipate and design for how those needs will change Iterate quickly, favoring pragmatic, first-principles solutions and fast feedback loops over heavy upfront design Take ownership of the reliability and scalability of critical systems as load, usage, and complexity increase Help set technical standards and best practices for the team, and mentor other engineers Minimum Qualifications Experience designing, building, and operating large-scale distributed systems or infrastructure in production A track record of independently scoping and delivering complex, ambiguous, multi-month technical projects Strong software engineering fundamentals and hands-on coding ability Experience making architectural decisions that other engineers and teams build on top of Strong written and verbal communication skills, with experience driving alignment across multiple teams or stakeholders Demonstrated ability to operate effectively in ambiguous, fast-changing environments Strong candidates may also have Experience building infrastructure or platforms specifically for research or machine learning workflows Direct experience navigating the reliability and architectural challenges that come with rapidly scaling systems Experience with distributed systems, cloud infrastructure, and infrastructure-as-code Familiarity with the compute, tooling, and workflow needs of large-scale machine learning research Experience operating in a startup or startup-like environment, i.e. a small, fast-moving team with high autonomy Prior experience as a technical lead or mentor for other engineers The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $405,000 — $625,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position 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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. 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.

Location: Warsaw Workplace: onsite With multiple awards to our name, Larian Studios has proven that we’re dedicated to delivering high-quality role-playing games. As we move on to new projects, the studio that brought you Baldur’s Gate 3 & Divinity: Original Sin 2 is looking for an RPG Designer to join the worldbuilding team and help us in crafting the high caliber games our fans have come to expect.   As an RPG Designer you will be working with a team that shapes the world, stories and characters that make for memorable adventures. Working closely with the other departments, the RPG Designer helps transform narrative into fun gameplay that reacts to the player's actions in an impactful way. Responsibilities Design narrative and gameplay content within an area of the game, take ownership of the area throughout implementation, and responsibility for its final quality. Ensure logical and well paced narrative flow in the combination of situations, dialogs and areas. Create solutions for quest design problems and follow their implementation. Conduct progress reviews for your area, gathering feedback from the other departments and working with them to reach the optimal finished state. Write and update documentation, communicate changes to the teams. Take a holistic approach when implementing changes to your region. Every decision will impact a range of departments, so you’ll need to take their limits and priorities into account. Understand player motivations and expectations. Requirements The ability to take the lead of a creative element of the game, communicate with all parties involved, gather feedback, and sink their teeth into it until it's finished. The ability to come up with creative solutions to new problems, or identify issues that don't require reinventing the wheel. A strong understanding of narrative beats and pacing. The ability to imagine what it's like seeing the game for the first time every single day, you understand player expectations. The ability to observe players and learn from their actions and filter their feedback. A high level of digital literacy and can adapt quickly to new software and tools (G Suite, Confluence, Jira etc.) Attention to detail and undaunted by complexity and change A great collaborator, has excellent organization and communication skills. Comfortable in an agile environment with evolving needs This is a full-time, on-site role, requiring your presence in the office to support collaboration and creativity. Nice to haves Has handled game engines, has programming skills or implementation experience. Has shipped games with a narrative focus Has extensive experience as both a player and maker of RPGs. Familiarity with Larian’s games and capable of emulating our distinctive style. Traditionally we receive a high amount of interest in RPG Design positions so please bear with us if there is a delay in us getting back to you with news on your application.

Location: Remote - Europe About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. Detection and Response The Detection and Response team is responsible for detection engineering, threat intelligence, and incident response across Nebius Cloud. Its goal is to improve and maintain Nebius's security monitoring capabilities, as well as to build and maintain an end-to-end Security Incident Response program - people, processes, and tools. The Role We're hiring a Detection & Response Engineer to build and run our D&R capability from the ground up. You'll work on detection engineering, threat intelligence, and incident response functions across Nebius Cloud. You'll be responsible for detection development, handling complex security incidents, forensics, and shaping the D&R strategy. What you’ll do Detection development: maintain low false-positive and false-negative rates. Work closely with alerts consumers (20+ teams) to keep noise low and signal high, ensuring they can act quickly without missing genuine threats. Architect and operate detection coverage across our cloud and bare-metal environments Build and extend our internal D&R tools and pipelines - onboard new logs, build and automate response runbooks. Integrate threat intelligence into detection logic and IR playbooks, tracking adversary TTPs relevant to Cloud infrastructure Lead incident response end-to-end: scoping, containment, root cause analysis, post-incident reviews and controlling critical action items are closed to prevent future possible incidents. Partner with Compliance and Engineering teams to detect real threats while meeting the needs of both engineers and regulators. Define and report on D&R metrics: MTTD, MTTR, detection coverage, false positive rates, etc. Build and maintain Security Incident Response program: people, processes, tools. Build tools, runbooks, and on-call processes that scale as the company grows. What we look for 6+ years in security operations, detection engineering, or incident response. Deep hands-on experience with cloud-native environments (Kubernetes, Linux workloads, container-based infrastructure). Strong detection engineering skills: writing and tuning rules/detections in SIEM platforms (e.g., Chronicle, Splunk, Elastic) and SQL. Experience building or operating SOAR workflows and automating response at scale (ideally with Golang and Temporal). Working knowledge of threat intelligence frameworks (MITRE ATT&CK, Pyramid of Pain, Kill Chain ) and how to operationalize them in detections. Solid IR fundamentals: memory forensics, log analysis, network traffic analysis, and post-incident reporting. Stakeholder management: able to coordinate across engineers, compliance, legal, executives during active incident phase. Serve as the primary owner and driver for complex changes, as a result of incidents post-mortem. Nice to have Experience with AI/ML and GPU clusters related threats. Familiarity with eBPF-based detection or runtime security tooling (Falco, Tetragon). Background in threat hunting. Why this role at Nebius Build D&R at a company scaling from startup to global infrastructure provider in real time. Ability to evolve our internal D&R platform into a new cloud security product, delivering novel security observability for a range of neocloud customers - from big tech to AI startups. Work alongside world-class engineers on infrastructure that powers frontier AI. Competitive compensation with equity upside in a Nasdaq-listed, high-growth company. Flexible, remote-first culture. Hiring Process Recruiter's chat (30mins) Live-coding interview (60mins) to asses basic coding skills Security interview (60mins) to asses domain expertise Incident Response interview (90mins) to assess practical experience Final interview to close the hiring process (45mins) #LI-CP1 Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Paris Workplace: OnSite ABOUT US Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia. We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do. Sierra was co-founded by Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/ who first met while working together at Google over 20 years ago. Bret currently serves as Chairman of the Board of Open AI. Previously, he was co-CEO of Salesforce and CTO of Facebook. Clay spent 18 years at Google, where he most recently led Google Labs. WHAT YOU'LL DO - Prospecting & lead generation: Identify and target potential customers through research, networking, and cold calling. Build new relationships with our enterprise customers and prospects to drive revenue, pipeline, and deployment capacity.   - Manage relationships: Build and maintain strong relationships with key decision-makers and stakeholders with our largest customers. Serve as their primary point of contact and exceed their expectations. - Negotiating & closing complex deal cycles: Lead negotiations with existing and prospective customers, addressing objections and closing deals. Navigate contracts and agreements quickly and effectively, working closely with legal and finance stakeholders. - Sales strategy & planning: Develop and execute sales strategies to meet or exceed sales targets. Craft tailored sales presentations and proposals that meet our enterprise customers needs. Collaborate with our marketing team to implement effective sales campaigns and presentations. - Help define our sales motion: We’re an early team, and your work will directly impact how our GTM function operates and succeeds.  - Collaborate cross-functionally: Work closely with our broader GTM team, as well as our product, technical and operations orgs to deliver our industry-leading product. WHAT YOU'LL BRING - 10+ years of experience in an enterprise customer-facing sales role, identifying and closing large accounts. - Strong communication skills: Exceptional verbal and written communication abilities. Professional fluency in French and English. - Enterprise experience: Experience managing a $1M+ quota, and running end-to-end complex deals. - Analytical mindset: Ability to analyze market trends, identify opportunities, and make data-driven decisions. - Prospecting & lead generation: Proven track record of identifying and targeting potential enterprise clients through research, networking, and cold calling. EVEN BETTER... - Industry knowledge: Familiarity with the AI landscape, key players, and emerging trends. - Experience building GTM strategies: Building sales teams and sales motions from scratch, or from early stage growth. OUR VALUES - Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work. - Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it. - Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve. - Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time. - Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements. WHAT WE OFFER We want our benefits to reflect our values and offer the following to full-time employees: - Flexible (unlimited) paid time off - Medical, dental, and vision benefits for you and your family - Life insurance and disability benefits - Retirement plan dependent on country of employment - Parental leave - Fertility and family building benefits - Lunch, as well as delicious snacks and coffee to keep you energized when working onsite - Discretionary benefit stipend giving people the ability to spend where it matters most - Free alphorn lessons These benefits are further detailed in Sierra's policies, may vary by region and employment type, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies. BE YOU, WITH US We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply through the link on this page even if your experience doesn't precisely match the job description. Sierra is a proud equal opportunity employer. All qualified applicants will receive consideration for employment without regard to any characteristic protected by applicable federal, state or local laws, including veteran status and disability status. Hiring decisions are made by people, based on merit. If you need a reasonable accommodation for a disability, a religious practice, pregnancy or any related condition at any point in the application or interview process, contact us at accommodations@sierra.ai. Requests are handled confidentially and do not affect your candidacy. We will consider qualified applicants with arrest and conviction records in accordance with applicable fair chance laws.

Location: South Africa; Philippines About Huzzle At Huzzle, we connect high-performing B2B sales professionals with global companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms in industries like SaaS, MarTech, FinTech, and EdTech. We match top sales talent to full-time remote roles where they’re hired directly into client teams and provided ongoing support by Huzzle. Role Type: Full-time Engagement: Independent Contractor Industry: Telemarketing (Experience required) Job Summary We are looking for a professional, empathetic, and driven Telemarketing Agent to join a specialist corporate triage programme. This team helps company directors navigate complex financial challenges by providing a clear pathway to resolution. In this role, you will be the first point of contact for business leaders, acting as a critical bridge between their initial inquiry and the expert support they need. You won’t be giving advice; instead, you will be qualifying leads and ensuring every director is matched with the right outcome pathway at the right time Key Responsibilities Handle inbound inquiries from company directors seeking guidance on their financial position. Perform outbound calls to warm leads generated through targeted marketing campaigns. Conduct structured triage conversations to qualify cases and assess the director's specific needs. Accurately document all call activity, case notes, and lead information within the CRM. Schedule follow-up appointments and facilitate seamless hand-offs to the specialist teams. Proactively identify re-engagement opportunities within existing data sets. Collaborate with the programme lead to provide performance updates and process feedback. Assist with data management and lead tracking to ensure the pipeline remains organized. Requirements Proven experience in telemarketing, outbound sales, or a professional customer-facing phone role. Exceptional communication skills with the ability to build rapport and trust quickly. The ability to follow a structured conversation framework naturally, avoiding a "scripted" feel. Strong organizational skills and high attention to detail for precise data entry. Proficiency with CRM systems and Microsoft Excel. A self-motivated mindset with a focus on hitting targets and achieving quality outcomes. Nice-to-Haves Prior experience within financial services, debt solutions, or business support sectors. Experience working in a performance-led or lead-generation environment. Knowledge of corporate insolvency or business recovery terminology. Benefits 💻 Fully Remote: Work from anywhere with international teams 🚀 Career Growth: Join companies in SaaS, MarTech, and B2B services 🤝 Peer Community: Connect with high-performing sales professionals in our network 🧭 Ongoing Support: Receive guidance from Huzzle before and after placement 💰 Tailored Compensation: Salaries vary by client and candidate preference — we’ll match you with options that fit your goals

Location: Denmark; Germany; Poland; Praha, Prague, Czech Republic Who we are We are a global wealth-tech company powering the next generation of trading. We deliver cutting-edge centralised trading solutions and robust B2B financial infrastructure. Our proprietary trading platform offers clients seamless access to stocks, ETFs, bonds, futures, options, swaps, funds, and currency pairs- all within a single, multi-currency account. We believe in the boundless flow of capital and information. Whilst developing EXANTE, we saw technology as a means to improve global connectivity of the financial services industry. Over the years, we have earned a reputation for providing superior service and for getting the results our clients and customers want. Most importantly, people have come to know us for our technological insights and focus on privacy. Our inspiration stems from the talent and ambition of our clients. We are offering an ecosystem of financial products and services that would provide the most tailored assistance to traders. Our culture Everything at EXANTE starts with our people. We bring together almost 800 minds across 70 locations. We place trust in our team with real autonomy - the freedom to drive change across products, processes and everything in between. That trust fuels innovation, and the demands of the markets build resilience; we adapt, push forward, and we look after each other while we do it. That freedom is matched by real investment in growth: we back our people with ongoing learning, hands-on development and the kind of stretch opportunities that turn good careers into great ones. About the Role Client Services Manager sets the standard for exceptional client experiences. This role blends hands-on leadership with operational excellence—driving performance, streamlining processes, and building a high-performing team. You’ll lead by example, inspire your team to exceed expectations, and continuously improve service delivery, all while fostering a collaborative, client-first culture. Reporting line : Head of Client Services Location: Remote Responsibilities Lead, mentor and develop a team of client service associates - set clear expectations, give honest feedback, and run regular reviews that actually help people level up Own team workload, coverage and cross-functional collaboration so every client gets a fast, meaningful answer Build a culture of accountability, continuous improvement and client-first thinking. Set the standard by living it yourself Define & refine service standards, processes, and playbooks, making sure they’re followed in practice, not just on paper Play a key role in incident management, ensuring issues are brought to light swiftly Convert the queue to actionable insights, identifying trends and patterns to address Work closely with Service Design on system optimisation and client experience Qualifications 3+ years of experience in prime brokerage or similar financial markets exposure A proven track record of leading, coaching and developing people, managing performance and running a service team day to day Excellent communication and relationship management skills. You build trust quickly, with clients and colleagues alike Strong problem-solving skills & ability to coordinate multiple stakeholders towards a fast resolution High attention to detail and a strong control & risk mindset What we offer* A competitive salary that reflects what you bring Fully remote - enjoy the freedom to work from anywhere Corporate Macbook Top-tier tech stack: Claude Code, in-house app building platform, Gemini Enterprise Innovative & inspiring culture, autonomous and informal work environment Extended benefits: choose from: Health insurance/extra annual leave/wellbeing program Ongoing education & training programs Opportunity to network and connect at Corporate Events Team off-sites and paid business trips when needed Global career opportunities *Benefits/perks vary depending on the nature of your employment with the company and the country where you work EXANTE is a global prime broker backed by proprietary technology and dedicated service. All regulated group companies and fully controlled affiliates and subsidiaries are committed to compliance with data protection laws, including the GDPR. We process personal data in line with the GDPR principles of fairness, purpose limitation, transparency, data minimisation, storage limitation and deletion, accuracy, confidentiality and integrity, and accountability. We rely on legitimate interests to assess and manage your application, after determining that our interests are not overridden by your rights and interests. You have the rights of access, rectification, data portability, erasure, restriction of processing, and objection to processing. To exercise your rights or contact our Data Protection Officer, please see our GDPR policy at https://exante.eu/gdpr/. We retain recruitment data only for as long as necessary for the purposes described above, after which it will be securely deleted unless we are required to keep it longer to comply with law or you consent to a longer retention. Where personal data is transferred outside the EEA, it will be protected to a standard at least equivalent to that sought by the GDPR. Personal data is safeguarded by technical and organisational measures that are reviewed and updated regularly. This website is not intended for individuals under 18 and we do not knowingly collect data relating to children.

Location: San Francisco, CA 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 seeking an exceptional Research Engineer to join our Life Sciences team at Anthropic. Our team is organized around the north star goal of accelerating progress in the life sciences, from early discovery through translation, by an order of magnitude. Our team likes to think across the whole model stack. In this role, you'll combine your deep expertise in machine learning engineering to develop novel evaluation frameworks and training strategies that push the frontier of what AI can achieve in biology. You'll work at the intersection of cutting-edge AI and the biological sciences, developing rigorous methods to measure and improve model performance on complex scientific tasks. You'll collaborate closely with world-class researchers and engineers to build AI systems that can engage in all phases of research and development, while maintaining our commitment to safety and beneficial impact. Previous experience in life sciences is welcome, but not required for this role. Minimum Qualifications Demonstrated experience training and evaluating large language models Proficiency in Python and familiarity with modern ML development practices Experience building and managing data pipelines for large-scale datasets Comfortable navigating ambiguity and developing solutions in rapidly evolving research environments Strong written and verbal communication skills, with the ability to work independently while collaborating effectively across cross-functional teams Preferred Qualifications 8+ years of machine learning experience Prior work experience in AI and biology, including graduate studies (molecular biology, biochemistry, computational biology, or related fields) Experience working with large-scale biological datasets Published research or practical experience in scientific AI applications or long-horizon reasoning Background in reinforcement learning and/or pretraining Knowledge of containerization technologies (e.g., Docker, Kubernetes) and cloud deployment at scale Demonstrated ability to work across multiple domains, such as language modeling, systems engineering, and scientific computing Contributions to open-source scientific software or databases The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $350,000 — $500,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position 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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. 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.

Location: Romania; Moldova About Huzzle At Huzzle, we connect exceptional talent with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include fast-growing startups and established businesses in SaaS, MarTech, FinTech, and EdTech. Unlike traditional outsourcing, you’ll be placed directly with a client as a core member of their team—giving you real ownership, career progression, and long-term stability. Role Type: Full-time Engagement: Independent Contractor Languages: Fluent Romanian & English Job Summary We are looking for a high-energy, bilingual Sales Development Representative to spearhead our growth within the Romanian market. As the first point of contact for prospective partners, you will play a critical role in building our sales pipeline and expanding our international footprint. This is an ideal opportunity for a persuasive communicator who thrives in a fast-paced environment and wants to make a measurable impact on the team's bottom line. Key Responsibilities Research and identify high-potential B2B prospects within the Romanian market. Execute high-volume outbound prospecting via cold calling, email sequencing, and LinkedIn outreach. Qualify inbound leads and book discovery meetings for the Account Executive team. Articulate the company's value proposition clearly in both Romanian and English. Maintain meticulous records of lead interactions and pipeline stages within the CRM. Collaborate with marketing and sales leadership to refine messaging and outreach strategies. Requirements Native or professional-grade fluency in both Romanian and English (written and verbal). Proven experience in a Sales Development (SDR) or Business Development (BDR) role. Strong understanding of B2B sales cycles and lead qualification frameworks. Excellent communication skills with the ability to build rapport quickly over the phone. A self-starter mindset with a high level of resilience and a goal-oriented approach. Proficiency with modern sales tools (CRM, LinkedIn Sales Navigator, etc.). Prior experience selling SaaS or technical solutions. Established network within the Romanian business landscape. Experience working in a remote or distributed team environment. Benefits 🌎 Fully remote role with flexible working hours 🚀 Work with high-growth international companies 📈 Clear career progression to Account Executive and beyond 🎯 Performance-based bonuses and incentives 🤝 Direct hire with global clients (not outsourced) 🧠 Ongoing training, mentorship, and sales development support

Location: Canada (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. Staff Backend Engineer - Adaptive Telemetry, Databases This is a remote position. We are looking for candidates in the Canadian time zones. What is Grafana Cloud? Grafana Cloud is our composable observability platform that integrates metrics, logs, traces, and profiles with Grafana. It allows our customers to leverage the best open source observability software – including Prometheus, Mimir, Loki, Tempo, and Pyroscope – without the overhead of installing, maintaining and scaling their own observability stack. The Databases department owns and operates the telemetry databases that are Mimir for metrics , Loki for logs , Tempo for traces , and Pyroscope for profiles . We offer our databases as a Cloud service supporting Grafana Cloud. Adaptive Telemetry Group The Adaptive Telemetry group, part of the Databases department, has the mission of ensuring that all telemetry stored in our databases is worthy of attention. Under that mission, the group is responsible for the development of Adaptive Metrics , Adaptive Logs , Adaptive Traces and Adaptive Profiles. Our Adaptive Telemetry solutions give users the ability to control and optimize their telemetry data. These solutions ensure that data storage is optimized based on individual usage patterns, so only the most valuable data is retained. As a company we are remote-first and global, we embrace people of different experiences and backgrounds to build diverse teams where every person brings a new perspective to the software. What will you be doing: Drive technical strategy and roadmap. Proactively define the architectural vision, prioritize work that unlocks major product or platform improvements, and influence product and engineering decisions. Lead end-to-end delivery of large, cross-functional projects. Own planning, design, execution, rollout and long-term operation of large initiatives. Own architecture, reliability, performance and cost for critical systems. Make pragmatic architecture choices that balance scalability, availability, latency and cost while ensuring systems remain maintainable and evolvable. Define SLOs/SLIs and lead incident response. Establish measurable reliability targets, run high-severity incident response, lead blameless post-mortems, and drive systemic fixes and automation to prevent recurrence. Improve observability, automation and operational readiness. Champion telemetry, alerting, runbooks, capacity planning and automation efforts that reduce toil, speed debugging and lower MTTR. Align stakeholders and remove blockers. Coordinate across Product, Design and other teams to align priorities, negotiate tradeoffs, and unblock delivery for large initiatives. Mentor and grow engineering talent. Coach senior and mid-level engineers, lead design reviews, raise engineering standards, and help teammates make sound technical tradeoffs. Represent engineering internally and externally. Communicate technical strategy clearly to non-engineering stakeholders and represent the team in cross-team planning. We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction. We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always with strong code review and quality standards. You'll also have access to the latest frontier models from OpenAI, Anthropic, and Google. What makes you a great fit: You are a motivated self starter with a bias towards action. You are customer focused. We build everything with our users in mind. You have a passion for creating intuitive products that fit customers’ needs Proven delivery of large distributed systems. Experience shipping and operating complex systems that span multiple teams, with clear evidence of technical leadership and impact. Strong systems-design instincts. Deep understanding of tradeoffs around latency, consistency, availability, scaling and cost. Hands-on cloud and platform experience. Solid experience with cloud-native architectures (microservices, containers/Kubernetes, IaC) and the operational practices that keep them healthy. Reliability and performance ownership. Comfortable defining SLOs/SLIs, doing capacity planning, tuning performance, and driving reliability work end-to-end. Excellent coding and design skills. You write clear, maintainable, well-tested code and can lead technical designs — we use Go, but Python/C/C++/Rust or similar translate well. Comfort with AI-assisted development. We embrace AI and agentic development so we expect you to be curious and comfortable using AI-powered developer tools and ideally have practical experience folding them into a team’s workflow. Experience with messaging and telemetry. Familiarity with streaming/messaging systems (e.g., Kafka) and observability tooling (Prometheus/Grafana or equivalents). Influence without authority. Ability to align cross-functional stakeholders, set priorities and drive outcomes in a remote-first environment. Strong communicator. Clear written and verbal communication that works across engineers and non-technical stakeholders. Compensation & Rewards: In Canada, the Base compensation range for this role is CAD 192,891 - CAD 231,469 .  Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed here . Compensation ranges are country-specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. *Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .