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Location: Singapore 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 is growing quickly across Asia Pacific, and our International Recruiting Coordination team is building for it. As our first Recruiting Coordinator based in Singapore, you'll deliver a warm, high touch interview experience for candidates across APAC, including Japan, Korea, India, Australia, New Zealand and South East Asia. You'll partner closely with our APAC recruiters and recruiting managers, be the local point of contact for candidates and interviewers in the region and help keep hiring moving around the clock as part of a follow the sun coordination model with your teammates. As you'll be first in seat, you'll also help shape how coordination works in a region where we're still building: spotting what's missing, documenting what works and making it easier for the people who join after you. You'll own coordination for your region end to end and act as our go to operator for APAC hiring logistics, working independently with support from your manager. Responsibilities: Schedule a high volume of APAC interview loops, from hiring manager screens through onsites, debriefs and reference calls, across multiple time zones, languages and stakeholder calendars. Be the primary point of contact for candidates on logistics, with a warm, clear and culturally aware tone that makes every candidate feel supported and informed. Partner with recruiters and hiring managers as a trusted advisor: flag capacity risks, local holidays and market norms early, and help them see around corners. Keep our systems accurate for APAC roles, including Greenhouse job setup, interview plans; scheduling tool configuration and supervise automations. Provide coverage within our follow the sun model, with clean handoffs so candidates never feel the gaps between regions. Support recruiters and RecOps with regional hiring operations as our APAC footprint grows, such as new locations, entity changes, offer logistics and onboarding handoffs. Improve our processes and document what works. Independently scope and lead projects, from problem to adopted solution. Use AI tools as a core part of your daily workflow. You may be a good fit if you have: 4+ years of experience in recruiting coordination or high volume scheduling, ideally supporting multiple APAC markets. Experience coordinating across time zones and markets, with an understanding of local business norms across APAC. Hands-on experience with an applicant tracking system (e.g., Greenhouse) and a scheduling tool (e.g., ModernLoop, GoodTime). Excellent written communication, especially a knack for friendly, informative emails that build rapport and convey information clearly. Comfort creating structure where there isn't one yet, and the judgment to know when to escalate. Hands on fluency with AI tools, and the judgment to know when to trust the output and when to override it. A love of feedback, and comfort both requesting and providing it. Fluency in English (native or business-level). Additional APAC languages (e.g., Japanese, Korean or Mandarin) a plus. A genuine interest in Anthropic's mission and our deep commitment to AI safety. 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 Poland, Poland Workplace: remote About the Role At OLX, Design is more than aesthetics, it's how millions of people build trust, discover opportunities, and connect with their communities. As Principal Brand Designer, you'll shape how OLX and its portfolio of brands are experienced across every customer touchpoint. Reporting to the Director of Product Design, you'll define the visual principles, creative systems, and brand standards that unite a diverse portfolio while allowing each brand to express its unique identity. This is a highly strategic, hands-on individual contributor role for someone who combines exceptional craft with systems thinking, influences through expertise, and embraces AI as a catalyst for creativity, consistency, and scale. Working in close partnership with Marketing, Brand Strategy, Product Design, Communications, Employer Brand and regional teams, you'll translate business strategy, customer insights and brand positioning into cohesive creative systems that strengthen brand equity, build customer trust and accelerate high-quality execution across the organisation. You'll establish the creative vision and quality bar for brand design, while building the frameworks, governance and tools that enable teams worldwide to create distinctive, consistent and impactful brand experiences. What you'll own Define the future of OLX’s  Group's brand ecosystem Partnering with the Director of Product Design, Marketing and Brand Strategy, you'll evolve the visual identity and creative direction across OLX Group and its portfolio of brands. You'll ensure our brands feel connected where they should, distinctive where they need to be, and consistently recognisable across every customer touchpoint. Group-wide brand identity systems and visual standards Brand visual identity governance, quality assurance and design principles Multi-brand design systems and asset libraries Creative direction across digital, physical and experiential touchpoints related to brand design (excludes advertising) Long-term evolution of OLX Group's visual identity and assets. Build scalable creative systems powered by AI You'll help define how AI enhances brand design across OLX Group by developing AI-ready design systems, prompt libraries, reusable templates, automation workflows and governance that empower teams to produce high-quality work consistently and efficiently. Rather than replacing creativity, you'll ensure AI amplifies craftsmanship, accelerates production and strengthens consistency while maintaining the integrity of every brand. You'll also stay ahead of emerging technologies, identifying opportunities where AI can improve creative workflows, collaboration and design quality across the organisation. Raise the creative standard across OLX Group As the most senior brand design practitioner, you'll establish the benchmark for the application of brand design across  product launches, executive communications, presentations, employer branding, events, web experiences and marketing initiatives. You'll provide creative direction, thoughtful critique and hands-on design leadership, ensuring every expression of the brand reflects exceptional craft, clarity and purpose. Translate strategy into brand experiences You'll partner closely with Marketing and Brand Strategy from the earliest stages of initiatives, transforming customer insights, research and business priorities into compelling visual systems and brand experiences. You'll contribute strategic thinking—not simply execute briefs, helping teams solve complex business challenges through design that strengthens trust, recognition and long-term brand value. Drive adoption and influence across the organisation Creating great systems is only part of the role, you'll ensure they're embraced. You'll build documentation, enablement programmes, design resources and governance models that help global and regional teams confidently apply OLX Group's brand standards. You'll influence senior stakeholders across Product, Marketing and Executive Leadership, aligning teams around a shared creative vision and ensuring design has a meaningful voice in strategic decision-making. Mentor and elevate the craft As a Principal Designer, your influence extends well beyond your own work. You'll coach designers through critique, mentoring and collaboration, fostering a culture of craftsmanship, systems thinking and continuous improvement. While this isn't a people management role, you'll be recognised as a trusted design leader whose expertise elevates the entire organisation. What we're looking for We're looking for a strategic design leader with exceptional craft, systems thinking and a passion for building brands that scale globally. You create brands that people trust Your portfolio demonstrates outstanding work across visual identity, typography, layout, storytelling, motion and digital experiences. You understand how to create memorable brands—and how to evolve and steward them over time. You think in systems You build frameworks, governance models, templates and design systems that enable organisations to produce consistently exceptional work. You know that the best design creates lasting capability, not just individual deliverables. You bring strategy to life through Design You're comfortable partnering with Marketing, Brand Strategy and executive stakeholders, translating positioning, customer insights and business objectives into creative systems that deliver measurable business impact. You're fluent in AI-enabled Design You already incorporate AI into your creative practice and understand where emerging technologies create value, and where human judgement remains essential. You can translate those insights into scalable workflows that improve quality, speed, experimentation and consistency across teams. You influence without authority You communicate with clarity, build trusted relationships and bring people together around a shared creative vision. You're equally comfortable presenting to executives, collaborating with marketers or mentoring fellow designers. You bring depth of experience You'll likely have: 10+ years of experience in brand design, or visual design Experience building or evolving brands at scale across multiple products or markets Expertise in Figma and/or Adobe Creative Suite Experience with motion design, storytelling, and digital brand experiences Experience building or contributing to enterprise design systems Deep familiarity with AI-powered creative tools and workflows Outstanding communication, presentation, and stakeholder management skills Why join OLX OLX operates some of the world's most recognized online marketplaces, connecting millions of people every day to buy, sell, find jobs, discover homes, and build businesses. As our Principal Brand Designer, you'll have a unique opportunity to shape the future of multiple global brands while defining how AI and design systems work together to create consistent, high-quality brand experiences at scale. This role offers the chance to influence design beyond individual projects to build the frameworks, standards, and creative vision that will guide OLX's brands for years to come. If you're excited by solving complex brand challenges, setting the highest creative standards, and pioneering the future of AI-enabled design, we'd love to hear from you. Hiring Process We believe in a transparent and collaborative hiring process that reflects how we work as a team. Here’s what you can expect: First Stage Portfolio & Design Leadership This is a 90-minute session with the Hiring Manager. We’ll dive deep into your portfolio to assess your design craft, strategic thinking, systems mindset, and collaboration skills. This is also an opportunity to showcase your leadership in design and discuss how you approach complex challenges. Second Stage Multi-Brand Systems & Creative Leadership In this 60-minute session, you’ll meet with a senior leader from the Creative team. We’ll explore your ability to build, evolve, and govern brand systems across a complex multi-brand organization. This stage focuses on your creative leadership and how you ensure consistency and innovation across diverse brands. Third Stage Executive Partnership & Business Impact This 45-minute session is with a senior leader from the Marketing team. We’ll assess your leadership presence, ability to form strategic partnerships with Marketing, and your commercial thinking. This is also a chance to discuss how you drive organizational influence and deliver business impact through brand design. Diversity, Equity and Inclusion at OLX OLX values diversity and welcomes applicants of all races, ethnicities, disabilities, ages, genders, sexual orientations, religions, backgrounds, and experiences to apply. If this role excites you, we encourage you to apply, even if you don’t meet all the requirements - you may be just the right fit for this or other opportunities with us!   Data Process Policy   OLX will process your personal data to assess your fit for the applied position. You may optionally consent to store your data for up to 12 months after the application process for consideration in future OLX roles. For more details on how your application data will be processed please check our Privacy Statement.

Location: Office, EU We are the creators of a new fintech era! Our mission is to revolutionize the world by making blockchain technology accessible to everyone in everyday life. WhiteBIT is a global team of more than 1,500 professionals united by a shared vision of shaping the future. We are building our own blockchain ecosystem to ensure maximum transparency and security for over 8 million users worldwide. Our cutting-edge solutions, rapid adaptation to market challenges, and technological excellence set us apart from traditional companies. Our official partners include Juventus, FC Barcelona, Lifecell, FACEIT, and VISA. Join us as a Head of Data Platform. Requirements Education & Experience: — MSc in computer science, mathematics, statistics, physics or another quantitative field; PhD is a plus, not a requirement — research-grade methodology sits with the Quantitative Researcher — 5+ years in data engineering / analytics, incl. lead / management experience; built a trading / financial data platform from zero at a crypto exchange, HFT / electronic-trading firm, market maker, or trading fintech. Bank / enterprise-DWH background alone does not qualify — Personally carried production ownership of money data — trades, balances, positions, P&L — where a data error is a financial error Core Technical Skills — data platform: — Hands-on today: designs and ships pipelines personally — advanced SQL and Python; ClickHouse (or kdb+ / comparable columnar OLAP) in production — Streaming and batch in one architecture: Kafka or equivalent, event feeds with second-grade freshness alongside hourly aggregates; trading-day logic — metrics counted within a trading day that starts and ends at a fixed morning hour, with an automatic daily reset — Optimizes data footprint and computational overhead across every stage: selects the tech stack, partitioning logic, and execution flow based on cost-to-performance impact — Data-correctness engineering: reconciliation, idempotent backfills, late / duplicate event handling, data-quality monitoring and lag alerting — Vendor and API integration: institutional market-data providers (Kaiko / Amberdata class), exchange APIs, FX feeds; schema design and documentation others can build on Core Technical Skills — analytics & applied math: — Applied statistics at a working level: distributions, hypothesis tests and confidence intervals, correlation vs causation, time-series and aggregation pitfalls (session boundaries, survivorship, outliers) — enough to catch a methodological error in an analyst's query or notebook, and to have designed or reviewed metric / experiment methodology in past roles — Metric and semantic design: one written definition per metric (P&L, uptime, spread, fill rate) enforced across every report; analytical data models (marts / star schemas) that make those definitions computable and cheap to query — BI stack governance: Tableau / Grafana — performance, access control, versioned metric definitions; reviews dashboards for correctness rather than building them all himself — ML literacy: understands when a model is — and is not — needed and can supervise applied work; research-grade modeling remains the Quantitative Researcher's mandate Market & Domain Knowledge: — Trading data from practice, not textbooks: maker/taker, fees and rebates, perpetual funding, realized / unrealized P&L, inventory and exposure, order-book depth and spread, slippage, quoting uptime — Understands the consumers: how analysts, quants and desk heads use the data, and how market-quality / compliance metrics feed liquidity-provider terms — Has built and run a mixed organisation of data engineers and analysts: separate hiring bars and growth tracks, peer review of queries and dashboards as a standard, methodology documented before a number ships — Partners with quantitative research: turns the Researcher's methodology into production metrics and dashboards without distorting it; runs the sign-off process with quant and desk stakeholders — Treats balances and client data as confidential by default: access control, least privilege, audit trail, no raw-data leaks — Never ships silently wrong numbers: escalates early, cuts scope consciously, flags uncertainty in the data Mindset & Soft Skills: — Player-coach: the first months are personal hands-on delivery; scaling through the team runs in parallel, not instead — Speaks business: reports status in money and deadlines; prioritizes by P&L impact — which dataset unblocks which decision; no jargon walls with management and stakeholders — Owner of the direction's technical goals, not of a backlog: takes a business problem, decomposes it into tasks, executes and delegates Responsibilities - Platform — Architect and ship the central data warehouse: every trade, position, balance and P&L across all trading services; an hourly contour for BI plus a real-time contour for monitoring; trading-day logic with automatic daily reset — Build the data layers behind LP terms: market quality (spread, depth near mid price, fill rate, per-order slippage), quoting-uptime start/stop events per maker and pair, external tier-1 benchmarks and FX feeds for regional fiat pairs — Close the data debt: gaps in realized-P&L coverage, history backfills, broken monitoring services — restore or replace — Set and hold agreed data-freshness targets and pipeline-health alerting; own schemas and documentation — Own analytics delivery end-to-end: the KPI rulebook published and signed, financial / attribution / historical-performance dashboards, compliance screens and provider scorecards — Enforce a single semantic layer: one definition per metric across every report; methodology documented before a dashboard ships — Quality gate: numbers are reviewed and challenged before they reach management; sign-offs from quant / desk collected per deliverable Responsibilities : — Hire leaders-first and onboard the technical team (~10 people: data engineering, analytics & BI, technical PM) per the approved hiring plan; hand tasks down without losing velocity — Single interface to exchange tech (requirements, acceptance, freshness targets) and to analytics / quant stakeholders; run delivery in Jira against the approved one-year roadmap — After the build: run the platform as a service to the direction — researcher-generated tasks, new metrics and pair groups, regular recalibration. Working terms Immerse yourself in Crypto & Web3: Master cutting-edge technologies and become an expert in the most innovative industry. Work with the Fintech of the Future: Develop your skills in digital finance and shape the global market. Take Your Professionalism to the Next Level: Gain unique experience and be part of global transformations. Drive Innovations: Influence the industry and contribute to groundbreaking solutions. Join a Strong Team: Collaborate with top experts worldwide and grow alongside the best. Work-Life Balance & Well-being: Modern equipment. Comfortable working conditions, and an inspiring environment to help you thrive. 22 business days of paid leave. Additional days off for national holidays. Your privacy matters to us. You can learn more about how we handle your personal data with regard to your application in our Candidate Privacy Notice .

Location: Porto, Portugal Workplace: hybrid TeamViewer provides a leading Digital Workplace platform that connects people with technology—enabling, improving and automating digital processes to make work work better. Our software solutions harness the power of AI and shape the future of digitalization. We believe that our diverse teams and strong company culture are key to the success of our products and technologies, that hundreds of millions of users around the world and around 645,000 customers across all industries rely on. With more than 1,900 employees worldwide, we celebrate the unique perspectives and talents that each individual brings to the table and foster a dynamic work environment where new ideas thrive. Are you ready to join our team and make an impact? Responsibilities We’re on a mission to make it possible for each of our users to provide the best support to their customers via a remote device and be able to solve any problem in the most complex environments. As a Product Designer, you will bring a creative mindset to the heart of our engineering and product teams and play an essential role in impacting our products at TeamViewer. You are a fountain of ideas and a generalist designer who loves playing with new creative concepts, design frameworks and have an innate product and UX/UI sense. You’re a passionate designer interested in learning new things every day and sharing big ideas, but who can fully create a mock and grasp technical aptitude to deliver impeccable design craftmanship. You always search for the best design solution even if it means learning a new concept, uncovering new customer opportunities and use cases, and never forgetting that our design is user-centric — it’s all about people. Design product concepts that balance vision, business potential and intuitive user experiences Craft every detail for new product features from ideation to pixel-perfect execution Work closely with our UX Research team and connect with our customers to understand their needs and integrate feedback into product roadmaps and design iterations Collaborate with developers, product managers, and team leads to support implementation and address any design-related queries to drive your vision to the ship line Support our evolving design system intentionally as we scale Design within technical, business, and time constraints, ensuring a balance between innovation and practicality Requirements A university, college degree or certification in Product Design, UX design, Graphic Design, Human-Computer Interaction, Interaction Design or any other related subject Minimum of 5 years of professional experience in UX/UI design within a product or software development team Well-rounded skills and experience to run projects independently end to end Experience in creating prototypes or detailed mockups to create clear and visually appealing human interfaces Proficiency in communicating complex design concepts clearly across different levels of the organization Strong understanding of user-centered design, user research, user testing, rapid prototyping, usability, and accessibility. Proven skills and working history in design and implementation of automated test plans What we offer Onsite Onboarding in our HQ office for an optimal start Great compensation and benefits packages including company achievement bonus or sales bonus and regular salary reviews Public transport friendly offices Special terms for local gyms Access to Corporate Benefits platform with many discounts Regular Team events and company-wide celebrations Open door policy , no dress code rules, frequent all Hands and Leadership Lunches Hybrid and Flexible work time Work From Abroad Program allowing up to 40 days of work outside your contracting country We celebrate diversity as one of core values, join and drive one of the c-a-r-e initiatives together with us! TeamViewer is an equal opportunities employer and is committed to building an inclusive culture where everyone feels welcome and supported. We C-A-R-E and understand that our diverse, values-driven culture makes us stronger. As we continue to grow as a company, we also focus on enabling our employees to grow both personally and professionally. We are proud to have an open and embracing workplace environment that will empower you to be your best no matter your gender, civil or family status, sexual orientation, religion, age, disability, education level, or race. If you require any accommodations or adjustments during the application or hiring process, including interview or onboarding support, please reach out to your Talent Acquisition Partner, who will be happy to support you.

Location: Tbilisi, Georgia; Bogota, Colombia Workplace: remote Complete planning tasks under supervision with growing independence. Execute planning of standard and moderately advanced tactics within defined frameworks. Conduct audience research and build target audience profiles. Create structured presentations using RFP templates. Collaborate with internal teams on task execution and delivery. 9–12 months of experience in media or digital marketing. General understanding of digital channels and campaign strategy. Hands-on experience with social media, paid social, or any other digital channels. English proficiency: at least B2. Basic proficiency in presentation tools (e.g., PowerPoint, Google Slides).

Location: New York, NY ABOUT CONSENSYS Consensys Incorporated is an independent blockchain infrastructure company, spun out of Consensys Software Inc. — one of the world's leading blockchain technology companies and the primary development organization behind the Ethereum ecosystem. We build and operate neutral, institutional-grade blockchain infrastructure that connects banks, asset managers, custodians, and financial market infrastructures to digital asset networks, meeting the non-negotiable standards of institutional finance: privacy, scalability, resilience, security, and regulatory readiness. Headquartered in Miami, Florida, and operating across the US, Europe, and Australia, Consensys Incorporated launched as an independent entity in September 2026 and is building the team to match its ambition. WHY THIS ROLE EXISTS We build and operate blockchain infrastructure for financial market infrastructure: settlement, custody and clearing institutions that put real value on the networks we run. We have signed clients with production dates this quarter and a platform standing on its own for the first time. Our pipeline of banks, custodians and market operators is growing faster than we can work it properly. You are the first hire on the Business Development team. You own the pipeline data and act as the coordination layer between prospects, engineering and leadership. You also make sure that what we promise in a sales conversation matches what we can deliver. When someone asks where a deal stands, what a client actually asked for, or whether a commitment is real, you're the person with the answer. WHAT YOU'LL OWN - Building pipeline with financial institutions: banks, custodians, broker-dealers, asset managers and market infrastructure providers. You work out who to approach, find the right person in each institution, and get the first meeting. - Account research before every conversation. You should know a prospect's settlement stack, where their collateral and liquidity problems are, what they've said publicly about tokenization, and who else they're talking to. Nobody should walk into a meeting cold. - Qualifying opportunities against what we actually sell: access, execution, interoperability and network engines, plus forward-deployed engineering engagements, managed hosting, interop settlement and sequencer services. That means working out whether there's a real budget, a real owner, a real timeline and a real problem we solve, and saying so early when there isn't. - Supporting live deal cycles, including discovery notes, meeting prep, follow-ups, RFP and RFI responses, security questionnaires and due-diligence packs. Institutional sales cycles are long and documentation-heavy. You keep them moving. - Pipeline and CRM discipline. Stages, next steps and close dates should reflect reality, and the forecast should hold up when someone questions it. - Market and competitive intelligence. Enterprise post-trade vendors don't publish their pricing, so what we know about it comes from conversations. You collect it, organize it and make it useful for pricing and positioning. - Translating between two worlds. Our buyers speak repo, collateral, DvP, cut-off times and operational risk. Our engineers speak sequencers, finality and nodes. You need to be fluent enough in both to bring back an accurate account of what the client asked for. - Outbound materials and messaging, working with Marketing and Product on one-pagers, case narratives, event follow-up and sequences that sound like they were written by someone who understands the client's business. - Events and ecosystem presence, including industry conferences, working groups and partner channels where institutional decision-makers show up. - Capturing client feedback for Product. What prospects ask for, what makes them hesitate and why deals stall should all reach the roadmap in a structured way. - Using AI in the work every day for research, account mapping, first drafts and meeting prep, held to the same bar for accuracy as anything else sent to a client. TWO LINES SIT OUTSIDE THIS ROLE AND YOU'LL WORK WITH BOTH CONSTANTLY: - Solutions and forward-deployed engineering own technical scoping, architecture and delivery commitments. You bring them in at the right moment with the right context, and you never promise a date or capability they haven't agreed to. - Legal and Finance own contract terms, pricing approvals and commercial structure. You make sure deals reach them clean and early, not the week before signature. WHAT WE ARE LOOKING FOR - 2–4 years in B2B tech sales, business development, or a client-facing role at a financial institution, fintech or market infrastructure provider. - Working knowledge of how institutional finance operates: trade lifecycle, clearing and settlement, custody, collateral. You don't need to be a post-trade expert, but you need to follow the conversation and ask good questions. - Real curiosity about onchain infrastructure and tokenized assets, and the ability to explain why it matters to a treasury or operations buyer without resorting to hype. - Strong written communication. Your emails, notes and summaries are clear, short and accurate. - Organized and persistent. Deals here take quarters, not weeks. You keep threads alive without being a nuisance. - Commercially sharp. You can tell interest from intent, and you'd rather disqualify a deal early than carry it on hope. - Comfortable in a company that is young and still building. The playbook is being written now, and you'll help write it. - Direct. This team has a low tolerance for polish over substance. Say the hard thing early, and say it kindly. - Coachable and collaborative. You want feedback, you act on it, and you make the people around you more effective. USEFUL, NOT REQUIRED - Experience selling into, or working at, a bank, custodian, CSD, exchange or clearing house. - Familiarity with Ethereum, EVM networks or permissioned blockchain deployments. - Exposure to repo, FX, stablecoins or tokenized treasuries/RWAs. - Experience with enterprise procurement: RFPs, vendor due diligence, InfoSec reviews. WHAT THIS ROLE IS NOT - Not a volume-dialing SDR seat. We'd rather have ten well-researched conversations than a thousand generic touches. - Not someone who overpromises to book a meeting. Our buyers remember. - Not someone who waits to be told what to do next, or who doesn't ask why an account matters. - Not someone who needs to be the loudest voice in the room. Listen first, then bring the insight. - Not a solutions-engineering role. You need to be credible technically, but you aren't expected to architect deployments. WORKING AT CONSENSYS We are a fully remote, globally distributed company. We hire the best people wherever they are, work asynchronously, and judge each other on impact rather than hours or location. We offer competitive compensation, meaningful equity, and the chance to work on genuinely open source software at the frontier of web3. Consensys is an equal opportunities employer. We celebrate diversity and are committed to building an inclusive environment for all employees.

Location: Berlin Our Story Founded in 2009, we’re one of the world’s leading game studios, and proud of our extremely international team, consisting of more than 50 different nations. We are part of Playtika and the global leader in the category of Hidden Object Games. With June’s Journey, we’re providing joy for millions of players around the world every day. How we work Our aim is to keep doing so for many more years, if not decades. In order to be able to do so, we’ve defined a distinct way of how we’re working at Wooga, so that all relevant aspects intertwine and have a positive impact on the game. No matter if you’re part of a game team or support the success of Wooga as part of a central team, all 250+ employees from around the world can make an impact. We’re proud of the environment we’ve built, and believe you’ll enjoy working with some of the best people in the industry. Our drivers: Speed, Focus, Ownership, and Impact, guide our working style at Wooga and help us make a deliberate choice to focus on what is important to us, while working towards a shared goal. These drivers shape how we work together and what we expect from ourselves and our leaders. As a Mid-level Marketing Data Analyst, you will analyze large-scale data across user acquisition touchpoints in order to generate insightful metrics, custom dashboards, and deep-dive analyses to measure marketing performance. Our marketing teams aim for best-in-class user acquisition strategies, bringing high-quality players to our games while driving innovation around performance marketing and targeted campaigns. We're looking for a passionate, results-oriented talent to join our team, develop new insights to shape data-driven decisions, continuously improve marketing efficiency, and help drive business growth for years to come. About the job Design, build, and maintain automated, interactive dashboards in Tableau to give the Marketing team up-to-date visibility into performance and KPIs. Dive deep into large-scale marketing data to identify key insights that will inform user acquisition strategies and business growth. Help define how best to measure and monitor our marketing channels, creatives, budget allocation, and overall campaign performance. Help to develop an analysis strategy and perform analysis of complex campaigns and A/B tests, both systematically and on a one-off basis. Provide data-driven recommendations to help Marketing Managers optimize their campaigns across various channels (e.g., Facebook Audience Network, Snapchat, TikTok). Partner with Data Engineering on data gathering and signal sharing, integrating 3rd-party data providers (e.g., AppsFlyer, Kochava), democratizing data with reporting tools, AI Agents, and innovating workflows. Communicate actionable results and data-driven findings across the organization clearly and concisely. About you You have recent experience in a data analyst role, preferably in digital advertising, performance marketing, or the app industry. You have experience with (app) Attribution Services (eg: AppsFlyer or Kochava). Literacy on Agentic Workflows, and other productivity and modern self-service data innovations. You can use SQL effectively within an enterprise data environment and you have a good understanding of commonly applied statistical techniques. Basic understanding of programming is not required, but is appreciated. You have strong experience using Tableau (or similar) to build interactive dashboards and visualizations. You have good problem-solving skills and can look for logical connections between marketing spend, consumer behavior, and data. You have a deep understanding of the digital advertising market,including communication patterns as they relate to consumer marketing. You are in tune with user acquisition patterns, and you understand mobile app growth. You know your way around designing, communicating, visualizing, or reporting your results/analysis so they are clear and unambiguous to both technical and non-technical audiences. Please note: Research has shown that some under-represented groups in the gaming industry (eg: women) tend to apply only if they meet every single requirement. Here at Wooga, the desire to learn and the willingness to solve problems are more important to us than your experience on paper. We encourage you to apply even if you do not think that you tick all the boxes - thinking outside of such boxes and embracing the diversity of mindsets and backgrounds is what we believe makes our teams thrive. Our Promise Shape the future! Challenge the status quo and team up with a diverse group of experts (over 50 nationalities!) working on crafting the world’s best games. We offer a generous relocation package and home search support if you are not already located in Berlin. Did we mention that we also cooperate with Kindergartens? Make use of a significant education budget and extra days off for self-development. Join our meet-ups, talks, brown bag lunches, internal trainings, workshops and many others. Enjoy the pilates, mindfulness app, sports and transport subsidies. And a Purpose Day to donate your time to a worthy cause! Did you know that German is the third most commonly taught language worldwide? Learn it too! We offer German language classes for you and your significant other. With our hybrid work model you will work in the office with your teams twice a week, to encourage in-person collaboration and team bonding. The other three days you can choose if you want to work from home or from the office. We also offer 10 days a year to work from abroad. At Wooga we are committed to providing a friendly, safe and welcoming environment for everyone who works here or with us, regardless of gender, gender identity and expression, sexual orientation, disability, physical appearance, body size, race, age, religion (or lack thereof) and game preferences. Be yourself, we like you that way! By clicking “Submit Application” you acknowledge that you have read our Candidate Privacy Policy

Location: Hyderabad, Telangana, India About Turing Turing’s mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at www.turing.com . Role: Forward-Deployed AI Engineer — Enterprise AI Location: Hyderabad, India Experience Level: 8+ years Work Model: Hybrid, 3 days per week in office Employment Type: Full Time Why Join Enterprise AI? Enterprise AI is a distinct business unit within Turing, operating with the speed, focus, and ownership of a rapidly scaling startup. When it comes to applied AI in the workplace, you’ll define the frontier by building beyond it. You’ll join the initial team of Forward-Deployed Engineers, shaping how we work while solving enterprise-grade problems for the world’s leading enterprises. As a Forward-Deployed AI Engineer, you’ll own outcomes end to end—from identifying high-value customer problems and shaping architecture to building production systems and working directly with senior client leaders. You’ll develop generative AI solutions in the real world, driving measurable impact and return on investment within large institutions. Enterprise AI is intense, intellectually challenging work. It won’t be for everyone, but it may be exactly the challenge you’re looking for. As a Forward-Deployed Engineer, You Will Find the Problem Worth Solving Work directly with customers to navigate ambiguity, uncover high-value opportunities, challenge assumptions, and translate complex business needs into clear technical direction. This requires curiosity and business acumen as you discover business workflows and jointly define the outcomes an AI solution should drive. Build Beyond the Frontier Architect and build production AI systems, from multi-agent workflows, orchestration, tool use, context engineering, memory and state, and retrieval-augmented generation (RAG) to the APIs, data pipelines, integrations, and distributed systems that make them reliable at scale. Own the Outcome You won’t simply be given a list of responsibilities—you’ll have the authority to own the outcome for your client and make a real-world impact through your work. You’ll lead solutions from discovery through deployment and measurable impact while staying hands-on and owning evaluation, observability, security, reliability, latency, scalability, and cost. The Anti-Sell High ownership and intensity: This role requires exceptional ownership and accountability. You’ll work with clients who have uncompromising expectations for quality, making this a demanding environment—and an ideal proving ground for people who seek difficult, high-impact challenges. Client-first and hybrid: This role is based in Bengaluru or Hyderabad and requires working from the office three days per week. Candidates must currently be based in one of these two cities. Relocation assistance is not available. You’ll help write the playbook: Enterprise AI operates like a startup. You may not always have an established process or playbook because you’ll be expected to apply your expertise, judgment, and technical depth to create one. Our Forward-Deployed Engineers Typically Have Deep production engineering experience: Typically 8+ years building and operating sophisticated software systems, with expertise in Python, backend systems, APIs, databases, distributed systems, system design, and cloud infrastructure. Hands-on agentic AI experience: Experience building production LLM and agent systems using orchestration, tool use, context engineering, memory and state, retrieval, and multistep workflows. Strong retrieval depth: Experience building and improving production retrieval systems, with a practical understanding of embeddings, vector and hybrid search, reranking, evaluation, and diagnosing retrieval quality. End-to-end systems ownership: A track record of taking complex systems from architecture through deployment and scale, with a practical understanding of evaluation, observability, reliability, security, guardrails, latency, scalability, and cost. Exceptional customer and technical leadership: The ability to enter unfamiliar environments, earn trust quickly, navigate ambiguity, challenge assumptions constructively, and communicate effectively with senior engineers and business executives. Client-ready communication: The ability to explain technical concepts clearly, navigate ambiguity, work with stakeholders, and remain calm under pressure. Values We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value. We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection We are AI forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity. Advantages of joining Turing Work at the frontier of AI , helping the world’s leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks. Contribute to leading-edge AI research and showcase your work at top conferences such as ICLR, ICML, and NeurIPS. Bring frontier AI innovation to the enterprise , applying lessons learned from leading AI labs to solve real-world business challenges. Collaborate with and learn from exceptional colleagues with deep AI experience from Google, Meta, Amazon, and other leading technology companies. Move at the pace of AI innovation , with the speed, ownership, and impact of a startup. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace  and celebrate authenticity, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. For applicants from the European Union, please review Turing's GDPR notice here .

Location: Bengaluru, Karnataka, India About Turing Turing’s mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at www.turing.com . Role: Forward-Deployed AI Engineer — Enterprise AI Location: Bengaluru, India Experience Level: 8+ years Work Model: Hybrid, 3 days per week in office Why Join Enterprise AI? Enterprise AI is a distinct business unit within Turing, operating with the speed, focus, and ownership of a rapidly scaling startup. When it comes to applied AI in the workplace, you’ll define the frontier by building beyond it. You’ll join the initial team of Forward-Deployed Engineers, shaping how we work while solving enterprise-grade problems for the world’s leading enterprises. As a Forward-Deployed AI Engineer, you’ll own outcomes end to end—from identifying high-value customer problems and shaping architecture to building production systems and working directly with senior client leaders. You’ll develop generative AI solutions in the real world, driving measurable impact and return on investment within large institutions. Enterprise AI is intense, intellectually challenging work. It won’t be for everyone, but it may be exactly the challenge you’re looking for. As a Forward-Deployed Engineer, You Will Find the Problem Worth Solving Work directly with customers to navigate ambiguity, uncover high-value opportunities, challenge assumptions, and translate complex business needs into clear technical direction. This requires curiosity and business acumen as you discover business workflows and jointly define the outcomes an AI solution should drive. Build Beyond the Frontier Architect and build production AI systems, from multi-agent workflows, orchestration, tool use, context engineering, memory and state, and retrieval-augmented generation (RAG) to the APIs, data pipelines, integrations, and distributed systems that make them reliable at scale. Own the Outcome You won’t simply be given a list of responsibilities—you’ll have the authority to own the outcome for your client and make a real-world impact through your work. You’ll lead solutions from discovery through deployment and measurable impact while staying hands-on and owning evaluation, observability, security, reliability, latency, scalability, and cost. The Anti-Sell High ownership and intensity: This role requires exceptional ownership and accountability. You’ll work with clients who have uncompromising expectations for quality, making this a demanding environment—and an ideal proving ground for people who seek difficult, high-impact challenges. Client-first and hybrid: This role is based in Bengaluru or Hyderabad and requires working from the office three days per week. Candidates must currently be based in one of these two cities. Relocation assistance is not available. You’ll help write the playbook: Enterprise AI operates like a startup. You may not always have an established process or playbook because you’ll be expected to apply your expertise, judgment, and technical depth to create one. Our Forward-Deployed Engineers Typically Have Deep production engineering experience: Typically 8+ years building and operating sophisticated software systems, with expertise in Python, backend systems, APIs, databases, distributed systems, system design, and cloud infrastructure. Hands-on agentic AI experience: Experience building production LLM and agent systems using orchestration, tool use, context engineering, memory and state, retrieval, and multistep workflows. Strong retrieval depth: Experience building and improving production retrieval systems, with a practical understanding of embeddings, vector and hybrid search, reranking, evaluation, and diagnosing retrieval quality. End-to-end systems ownership: A track record of taking complex systems from architecture through deployment and scale, with a practical understanding of evaluation, observability, reliability, security, guardrails, latency, scalability, and cost. Exceptional customer and technical leadership: The ability to enter unfamiliar environments, earn trust quickly, navigate ambiguity, challenge assumptions constructively, and communicate effectively with senior engineers and business executives. Client-ready communication: The ability to explain technical concepts clearly, navigate ambiguity, work with stakeholders, and remain calm under pressure. Values We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value. We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection We are AI forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity. Advantages of joining Turing Work at the frontier of AI , helping the world’s leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks. Contribute to leading-edge AI research and showcase your work at top conferences such as ICLR, ICML, and NeurIPS. Bring frontier AI innovation to the enterprise , applying lessons learned from leading AI labs to solve real-world business challenges. Collaborate with and learn from exceptional colleagues with deep AI experience from Google, Meta, Amazon, and other leading technology companies. Move at the pace of AI innovation , with the speed, ownership, and impact of a startup. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace  and celebrate authenticity, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. For applicants from the European Union, please review Turing's GDPR notice here .

Location: Zurich, Switzerland 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. The role As a Senior Machine Learning Engineer on the Applied AI team at Nebius Token Factory, you will own model and endpoint optimization from model artifacts through production deployment. Your work will span model internals, quantization and model compression, speculative decoding, KV-cache optimization, inference engines, serving architecture, and benchmarking to improve latency, throughput, memory efficiency, GPU utilization, and cost per token while preserving quality and reliability. You will work with kernel and platform engineers to investigate serving problems, compare configurations, and resolve performance and quality regressions. You will evaluate model- and engine-level optimizations together with distributed inference designs, including request routing, scheduling, prefill/decode coordination, and multi-node GPU execution. Your improvements will be validated through reproducible benchmarks and safe production rollouts under real-world workloads. Your responsibilities Own optimization projects for specific model families, customer endpoints, or serving backends. Compare inference engines and recommend serving configurations suited to individual workloads. Diagnose model-quality and performance regressions during production rollouts. Improve LLM and VLM endpoint latency, throughput, memory efficiency, GPU utilization, quality, and cost per token. Deploy, configure, benchmark, and extend engines such as vLLM, SGLang, TensorRT-LLM, Triton Inference Server, and NVIDIA Dynamo. Develop production model-compression workflows covering quantization, quantization-aware training, distillation, low-bit serving, and accuracy recovery. Implement or integrate speculative decoding, draft-model approaches, KV-cache optimization, prefix caching, chunked prefill, continuous batching, and disaggregated prefill/decode serving. For prefill–decode disaggregation (PDD), evaluate KV-cache transfer, worker placement, and capacity balancing to determine which workloads benefit from the architecture. Design and improve LLM request routers and scheduling policies that balance worker utilization, queueing, request characteristics, and KV-cache locality while meeting latency and reliability targets. Scale dense and mixture-of-experts inference across multiple GPU nodes. Select and tune tensor, pipeline, data, and expert parallelism—including wide expert parallelism (WideEP)—with attention to hardware topology, expert load balance, and communication overhead. Build reproducible benchmark harnesses measuring TTFT, TPOT, tokens per second per GPU, p95/p99 latency, GPU memory, reliability, and cost per token. Validate architecture choices under representative traffic and consistent GPU budgets. Collaborate with GPU kernel and platform engineers to trace bottlenecks across model code, kernels, runtime, scheduler, gateway, and cluster layers. Produce design documents, performance reports, rollout plans, and customer-facing technical explanations. Must-haves Strong engineering skills in Python and PyTorch. Hands-on experience deploying or optimizing LLM, VLM, or high-throughput transformer inference. Practical knowledge of at least one modern inference stack, such as vLLM, SGLang, TensorRT-LLM, Triton Inference Server, NVIDIA Dynamo, Ray Serve, KServe, or an equivalent internal system. A strong understanding of transformer inference bottlenecks involving KV cache, attention, memory bandwidth, batching, parallelism, and long-context serving. Ability to quantify trade-offs among latency, throughput, quality, utilization, and cost. Experience designing or optimizing distributed inference system architecture, with hands-on work in one or more areas such as request routing, distributed scheduling, PDD, multi-node inference, or expert parallelism. Strong communication and collaboration skills across research, kernel, infrastructure, product, and customer teams. Nice-to-haves Experience with quantization-aware training, post-training quantization, FP8, INT8, INT4, NVFP4, MXFP4, AWQ, GPTQ, or SmoothQuant. Experience with distillation, speculative decoding, EAGLE, Medusa, multi-token prediction, or related inference acceleration methods. Experience supporting agentic workloads involving tool calling, structured outputs, streaming APIs, high concurrency, and multi-step orchestration. Familiarity with CUDA or Triton; the role does not require kernel engineering to be the candidate’s primary specialization. Contributions to open-source projects such as vLLM, SGLang, TensorRT-LLM, FlashInfer, LMCache, PyTorch, Triton, Ray, or KServe. Implementation experience with cache-aware request routing, PDD, or WideEP, including diagnosing communication bottlenecks and load imbalance. Familiarity with GPU communication libraries and interconnects, such as NCCL, NVLink, InfiniBand, or RoCE. 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: Amsterdam, Netherlands; Berlin, Germany; Israel; 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. The role As a Senior Machine Learning Engineer on the Applied AI team at Nebius Token Factory, you will own model and endpoint optimization from model artifacts through production deployment. Your work will span model internals, quantization and model compression, speculative decoding, KV-cache optimization, inference engines, serving architecture, and benchmarking to improve latency, throughput, memory efficiency, GPU utilization, and cost per token while preserving quality and reliability. You will work with kernel and platform engineers to investigate serving problems, compare configurations, and resolve performance and quality regressions. You will evaluate model- and engine-level optimizations together with distributed inference designs, including request routing, scheduling, prefill/decode coordination, and multi-node GPU execution. Your improvements will be validated through reproducible benchmarks and safe production rollouts under real-world workloads. Your responsibilities Own optimization projects for specific model families, customer endpoints, or serving backends. Compare inference engines and recommend serving configurations suited to individual workloads. Diagnose model-quality and performance regressions during production rollouts. Improve LLM and VLM endpoint latency, throughput, memory efficiency, GPU utilization, quality, and cost per token. Deploy, configure, benchmark, and extend engines such as vLLM, SGLang, TensorRT-LLM, Triton Inference Server, and NVIDIA Dynamo. Develop production model-compression workflows covering quantization, quantization-aware training, distillation, low-bit serving, and accuracy recovery. Implement or integrate speculative decoding, draft-model approaches, KV-cache optimization, prefix caching, chunked prefill, continuous batching, and disaggregated prefill/decode serving. For prefill–decode disaggregation (PDD), evaluate KV-cache transfer, worker placement, and capacity balancing to determine which workloads benefit from the architecture. Design and improve LLM request routers and scheduling policies that balance worker utilization, queueing, request characteristics, and KV-cache locality while meeting latency and reliability targets. Scale dense and mixture-of-experts inference across multiple GPU nodes. Select and tune tensor, pipeline, data, and expert parallelism—including wide expert parallelism (WideEP)—with attention to hardware topology, expert load balance, and communication overhead. Build reproducible benchmark harnesses measuring TTFT, TPOT, tokens per second per GPU, p95/p99 latency, GPU memory, reliability, and cost per token. Validate architecture choices under representative traffic and consistent GPU budgets. Collaborate with GPU kernel and platform engineers to trace bottlenecks across model code, kernels, runtime, scheduler, gateway, and cluster layers. Produce design documents, performance reports, rollout plans, and customer-facing technical explanations. Must-haves Strong engineering skills in Python and PyTorch. Hands-on experience deploying or optimizing LLM, VLM, or high-throughput transformer inference. Practical knowledge of at least one modern inference stack, such as vLLM, SGLang, TensorRT-LLM, Triton Inference Server, NVIDIA Dynamo, Ray Serve, KServe, or an equivalent internal system. A strong understanding of transformer inference bottlenecks involving KV cache, attention, memory bandwidth, batching, parallelism, and long-context serving. Ability to quantify trade-offs among latency, throughput, quality, utilization, and cost. Experience designing or optimizing distributed inference system architecture, with hands-on work in one or more areas such as request routing, distributed scheduling, PDD, multi-node inference, or expert parallelism. Strong communication and collaboration skills across research, kernel, infrastructure, product, and customer teams. Nice-to-haves Experience with quantization-aware training, post-training quantization, FP8, INT8, INT4, NVFP4, MXFP4, AWQ, GPTQ, or SmoothQuant. Experience with distillation, speculative decoding, EAGLE, Medusa, multi-token prediction, or related inference acceleration methods. Experience supporting agentic workloads involving tool calling, structured outputs, streaming APIs, high concurrency, and multi-step orchestration. Familiarity with CUDA or Triton; the role does not require kernel engineering to be the candidate’s primary specialization. Contributions to open-source projects such as vLLM, SGLang, TensorRT-LLM, FlashInfer, LMCache, PyTorch, Triton, Ray, or KServe. Implementation experience with cache-aware request routing, PDD, or WideEP, including diagnosing communication bottlenecks and load imbalance. Familiarity with GPU communication libraries and interconnects, such as NCCL, NVLink, InfiniBand, or RoCE. 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: London, United Kingdom Workplace: hybrid About the Company Global University Systems (GUS) is one of the world’s most dynamic, inclusive, and diverse education organisations. GUS is an international network of higher education institutions, brought together by a shared passion for accessible and industry-relevant qualifications. We deliver a wide variety of programmes, including bachelor’s degree programmes, master’s degree programmes, professional training, English Language training, and corporate & executive education. When someone chooses to study at one of our institutions, whether on campus in Europe, North America, Asia or even in their own home, they are joining a network of over 100,000 students worldwide. When you decide to work with GUS, you will be joining an industry leading, global organisation that has a reach in over 150 different countries. Role Summary Are you a gifted wordsmith with a knack for transforming ideas into compelling stories that engage audiences and drive action? As a Creative Copywriter at GUS, you will leverage innovative writing techniques and digital tools to captivate our prospective students and meet our organizational goals. We're looking for creative individuals with a passion for excellence and a drive for results. As a Creative Copywriter, you will contribute to GUS' worldwide content initiatives, harnessing the power of technology and digital platforms to create unique and engaging campaigns that resonate with our brand's ethos. Your work will span across various channels, including organic and paid social media, PPC, SEO and local marketing efforts, harmonizing these elements to build a best-in-class content portfolio. To excel in this role, you should be an exceptional communicator with a proven ability to conceptualize and implement creative ideas. You should know when to apply technology to accelerate the writing process and when human creativity is essential to the process. To be an ideal candidate, you will have had extensive experience producing powerful written content for multinational companies. You should be a natural team player who wants to contribute to a creative environment where everyone can produce their best work. If you're a passionate communicator who is excited by the prospect of shaping the future narratives of our brands and making an impact on a global scale, we invite you to apply for this exhilarating opportunity. Key Activities and Responsibilities As a Creative Copywriter at GUS, you will be responsible for: · Developing compelling and creative copy for various organic and paid mediums, including social media, PPC, SEO, print and digital campaigns, and email journeys, while ensuring consistency in tone, style, and voice across all platforms and institutions. · Utilizing technology and AI tools to enhance the copywriting process, while understanding when a human touch is necessary for the crafting of content. · Working in alignment with the overall company's goals and marketing strategies, ensuring that your written content supports these objectives and helps to deliver the desired message to the targeted audience. · Staying up to date on the latest trends in content and copywriting, implementing best practices in daily tasks and continuously seeking innovative ways to improve the quality and impact of written content. · Working in coordination with the marketing teams to maintain a content calendar that aligns with the company's broader marketing and business goals. · Ensuring all content and communication efforts take diversity, equity and inclusion (DEI) into consideration. · Contributing to content audits on a regular basis to assess the effectiveness of our copywriting efforts, providing useful recommendations for improvements based on key metrics and analysis. · Assisting in managing relationships with GUS’ internal brand partners, ensuring clear, persuasive and effective copy is provided for all collaborative efforts. · Maintaining a high level of quality control to ensure all produced copy aligns with brand guidelines and is free of errors. Qualifications and Education Essential · Undergraduate level or equivalent work experience Desirable · Digital marketing qualification · Writing qualification Experience · Significant (5+ years) experience in creative copywriting for multiple channels, including social media, PPC, SEO, content marketing and PR. · Demonstrated experience (2+ years) in a team-oriented environment, with the ability to collaborate and contribute to team projects. · Strong research and analytical skills, including the ability to understand audience sentiment, analyse content performance and optimize copy based on performance data. · An understanding of, and demonstrated interest in, emerging technologies that may impact copywriting including generative AI, automation tools, and data analytics. · Strong project management skills, including the ability to manage multiple projects simultaneously, while ensuring timely execution. · Excellent communication and interpersonal skills, including the ability to effectively present ideas to internal stakeholders and collaborate with cross-functional teams. · Proven experience working collaboratively with an international team. · Strong problem-solving skills and the ability to think strategically and creatively to continually improve the company's content and copywriting strategy. · Expertise in Microsoft Office, particularly Word and PowerPoint. · Fluency in English with excellent writing and editing skills, with a strong grasp of grammar and style. · Knowledge of AP Style or other major style guides is a plus. · A portfolio of work that demonstrates your writing abilities and creative skills. · A demonstrated passion for the educational space · Experience with content-related tools and services including SEO tools (such as SEMRush, Ahrefs), social media management tools (such as Buffer, Hootsuite) and content management systems (such as WordPress). · Experience in digital marketing including SEO, social media advertising and content marketing. The post holder may be asked to undertake different or additional duties in line with business requirements at the request of their line manager. There is an expectation that all employees will maintain the values of the Group and will comply with the code of conduct as well as equality and diversity, health and safety and safeguarding policies. Please note that this will be a part-time role involving working 3 days a week. Other information We acknowledge receipt of your resume for a position at Global University Systems and sincerely appreciate your interest in our company. We will screen all applicant CVs and select the candidates whose qualifications and experience meet our requirements. Please note due to the high volume of applications we will only contact you if you are selected to continue for the next stage of the recruitment process. We wish you every success. GUS is an equal opportunities employer and positively encourages applications from suitably qualified and eligible candidates regardless of sex, race, disability, age, sexual orientation, or religion or belief.

Location: London, United Kingdom Workplace: hybrid About the Company Global University Systems (GUS) is one of the world’s most dynamic, inclusive, and diverse education organisations. GUS is an international network of higher education institutions, brought together by a shared passion for accessible and industry-relevant qualifications. We deliver a wide variety of programmes, including bachelor’s degree programmes, master’s degree programmes, professional training, English Language training, and corporate & executive education. When someone chooses to study at one of our institutions, whether on campus in Europe, North America, Asia or even in their own home, they are joining a network of over 100,000 students worldwide. When you decide to work with GUS, you will be joining an industry leading, global organisation that has a reach in over 150 different countries. Role Summary Are you a gifted wordsmith with a knack for transforming ideas into compelling stories that engage audiences and drive action? As a Creative Copywriter at GUS, you will leverage innovative writing techniques and digital tools to captivate our prospective students and meet our organizational goals. We're looking for creative individuals with a passion for excellence and a drive for results. As a Creative Copywriter, you will contribute to GUS' worldwide content initiatives, harnessing the power of technology and digital platforms to create unique and engaging campaigns that resonate with our brand's ethos. Your work will span across various channels, including organic and paid social media, PPC, SEO and local marketing efforts, harmonizing these elements to build a best-in-class content portfolio. To excel in this role, you should be an exceptional communicator with a proven ability to conceptualize and implement creative ideas. You should know when to apply technology to accelerate the writing process and when human creativity is essential to the process. To be an ideal candidate, you will have had extensive experience producing powerful written content for multinational companies. You should be a natural team player who wants to contribute to a creative environment where everyone can produce their best work. If you're a passionate communicator who is excited by the prospect of shaping the future narratives of our brands and making an impact on a global scale, we invite you to apply for this exhilarating opportunity. Key Activities and Responsibilities As a Creative Copywriter at GUS, you will be responsible for: · Developing compelling and creative copy for various organic and paid mediums, including social media, PPC, SEO, print and digital campaigns, and email journeys, while ensuring consistency in tone, style, and voice across all platforms and institutions. · Utilizing technology and AI tools to enhance the copywriting process, while understanding when a human touch is necessary for the crafting of content. · Working in alignment with the overall company's goals and marketing strategies, ensuring that your written content supports these objectives and helps to deliver the desired message to the targeted audience. · Staying up to date on the latest trends in content and copywriting, implementing best practices in daily tasks and continuously seeking innovative ways to improve the quality and impact of written content. · Working in coordination with the marketing teams to maintain a content calendar that aligns with the company's broader marketing and business goals. · Ensuring all content and communication efforts take diversity, equity and inclusion (DEI) into consideration. · Contributing to content audits on a regular basis to assess the effectiveness of our copywriting efforts, providing useful recommendations for improvements based on key metrics and analysis. · Assisting in managing relationships with GUS’ internal brand partners, ensuring clear, persuasive and effective copy is provided for all collaborative efforts. · Maintaining a high level of quality control to ensure all produced copy aligns with brand guidelines and is free of errors. Qualifications and Education Essential · Undergraduate level or equivalent work experience Desirable · Digital marketing qualification · Writing qualification Experience · Significant (5+ years) experience in creative copywriting for multiple channels, including social media, PPC, SEO, content marketing and PR. · Demonstrated experience (2+ years) in a team-oriented environment, with the ability to collaborate and contribute to team projects. · Strong research and analytical skills, including the ability to understand audience sentiment, analyse content performance and optimize copy based on performance data. · An understanding of, and demonstrated interest in, emerging technologies that may impact copywriting including generative AI, automation tools, and data analytics. · Strong project management skills, including the ability to manage multiple projects simultaneously, while ensuring timely execution. · Excellent communication and interpersonal skills, including the ability to effectively present ideas to internal stakeholders and collaborate with cross-functional teams. · Proven experience working collaboratively with an international team. · Strong problem-solving skills and the ability to think strategically and creatively to continually improve the company's content and copywriting strategy. · Expertise in Microsoft Office, particularly Word and PowerPoint. · Fluency in English with excellent writing and editing skills, with a strong grasp of grammar and style. · Knowledge of AP Style or other major style guides is a plus. · A portfolio of work that demonstrates your writing abilities and creative skills. · A demonstrated passion for the educational space · Experience with content-related tools and services including SEO tools (such as SEMRush, Ahrefs), social media management tools (such as Buffer, Hootsuite) and content management systems (such as WordPress). · Experience in digital marketing including SEO, social media advertising and content marketing. The post holder may be asked to undertake different or additional duties in line with business requirements at the request of their line manager. There is an expectation that all employees will maintain the values of the Group and will comply with the code of conduct as well as equality and diversity, health and safety and safeguarding policies. Please note that this will be a part-time role involving working 3 days a week. Other information We acknowledge receipt of your resume for a position at Global University Systems and sincerely appreciate your interest in our company. We will screen all applicant CVs and select the candidates whose qualifications and experience meet our requirements. Please note due to the high volume of applications we will only contact you if you are selected to continue for the next stage of the recruitment process. We wish you every success. GUS is an equal opportunities employer and positively encourages applications from suitably qualified and eligible candidates regardless of sex, race, disability, age, sexual orientation, or religion or belief.

Location: Remote: India About Neo4j: Neo4j is the graph intelligence platform that transforms data into knowledge to power the next generation of intelligent applications and AI systems. It includes enterprise-ready knowledge graphs for accurate, explainable, and governed AI; the most comprehensive, trusted, and easy-to-deploy graph capabilities across any environment and data source; and an unmatched ecosystem trusted by 84 of the Fortune 100 and supported by the world’s largest graph community. Intelligence that works. Results that matter. Built to work everywhere and integrate with everything across every cloud for dynamic, personalized, and autonomous AI systems. We deliver quicker results, contextual knowledge, and solutions that impact customers and employees across the business. Our Vision: At Neo4j, we have always strived to help the world make sense of data. As business, society and knowledge become increasingly connected, our technology promotes innovation by helping organizations to find and understand data relationships. We created, drive and lead the graph database category, and we’re disrupting how organizations leverage their data to innovate and stay competitive. As our Senior Enterprise Account Executive, you will partner with executive leadership at top Indian organisations to unlock the power of data and AI using Neo4j’s industry-leading data intelligence platform. Why Top Revenue Leaders Choose Neo4j Category Creator & Market Leader: Backed by over $600M in funding ($325M Series F) at a $2B+ valuation, with $200M+ in ARR. Proven ROI: A recent Forrester Total Economic Impact™ study showed a 417% ROI for Neo4j customers. Enterprise Dominance: Trusted by 84% of the Fortune 100, including premier global financial services providers. The AI Wave: Neo4j sits at the center of the next major enterprise shift: combining Knowledge Graphs with LLMs (GraphRAG) to eliminate AI hallucinations in mission-critical environments. What You’ll Do Grow the India Market: Lead strategic account planning and execution across a high-value portfolio of large enterprise customers alongside high-growth greenfield prospects. Drive High-Impact Sales Cycles: Execute value-based, consultative sales strategies (MEDDPICC) across C-level, Line-of-Business, and Chief Data/AI Officer stakeholders. Land & Expand: Balance hunting new enterprise logos with driving workload expansion within established accounts—scaling adoption into new business units and high-value use cases. Partner with Cloud Ecosystems: Co-sell and align strategic account plans with local hyperscaler ecosystems (AWS, Microsoft Azure, Google Cloud) and Global Systems Integrators (GSIs). Orchestrate High-Performance Squads: Align internal Pre-Sales Engineering, Field Marketing, and Customer Success resources to qualify, scope, and deliver impactful Proofs of Value (POVs). Maintain Sales Rigor: Drive predictable forecasting and pipeline hygiene within Salesforce.com. What You’ll Bring Location Requirement: This role is only open to candidates based in Mumbai as you will be required to regularly meet with customers and partners located there. 10+ years of enterprise software sales experience, with a direct focus on selling complex data platforms, cloud infrastructure, analytics, or enterprise software into the India market. Proven track record of exceeding quotas and closing multi-year enterprise deals ($500k–$1M+ ACV) into major customers. Methodology mastery & expertise in structured sales frameworks (MEDDPICC, Challenger, Command of the Message) navigating complex multi-stakeholder deals. Strong existing relationships across C-suite executives, enterprise data architects, and line-of-business owners across large enterprise customers. Preferred Experience Experience selling modern cloud-native database platforms, distributed systems, analytics infrastructure, or AI/ML technologies. Experience co-selling alongside public cloud providers (AWS, Azure, GCP) and major consulting partners in India. Willingness to travel to meet with customers, partners and teams as required. Why Join Neo4j? Neo4j is, without question, the most popular graph intelligence platform in the world. We have customers in every industry globally, and our products are a proven product/market fit. Joining our team is an opportunity to shape the future of data and analytics. Below are just a few exciting facts about Neo4j. Neo4j is one of the fastest-scaling technology companies in this industry. It recently surpassed $200M in annual recurring revenue (ARR), doubling its ARR over the past three years. Raised the biggest funding round in database history ($325M Series F). Backed by world-class investors like Eurazeo, GV (formerly Google Ventures), and Inovia Capital, Neo4j has raised over $600M in funding and is currently valued at over $2Bn. This puts Neo4j among the most well-funded database companies in history. 84% of the Fortune 100 and 58% of the Fortune 500 use Neo4j. Examples include Boston Scientific , BT Group , Caterpillar , Cisco , Comcast , Department for Education UK , eBay , NBC News , Novo Nordisk , Worldline , and others . Co-founder and CEO Emil Eifrem has built an amazing culture that prides itself on relationships, inclusiveness, innovation, and customer success. Countless industry awards . Massive enterprises and individual developers/data scientists love Neo4j. A strong sense of community and ecosystem is built around the platform. A recent Forrester Total Economic Impact™ Study cited Neo4j as delivering 417% ROI to customers. Research shows that members of underrepresented communities are less likely to apply for jobs when they don’t meet all the qualifications. If this is part of the reason you hesitate to apply, we’d encourage you to reconsider and give us the opportunity to review your application. At Neo4j, we are committed to building awareness and helping to improve these issues. One of our central objectives is to provide an inclusive, diverse, and equitable workplace for everyone to develop their potential and have a positive, career-defining experience. We look forward to receiving your application. Neo4j Values: Neo4j is a Silicon Valley company with a Swedish soul. We foster collaboration and each of us is empowered to contribute and put our innovative stamp on projects. We hire candidates who reflect the following Neo4j core values: (we)-[:VALUE]->(relationships) (we)-[:FOCUS_ON]->(userSuccess) (we)-[:THRIVE_IN]->(:Culture {type: [‘Open’, ‘Inclusive’]}) (we)-[:ASSUME]->(:Intent {direction:’Positive’}) (we)-[:WELCOME]->(:Discussions {nature: ‘IntellectuallyHonest’}) (we)-[:DELIVER_ON]->(ourCommitments) Neo4j is committed to protecting and respecting your privacy. Please read the privacy notice regarding Neo4j's recruitment process to understand how we will handle the personal data that you provide. More information at www.neo4j.com . ©2026 Neo4j, Inc., Neo Technology®, Neo4j®, Cypher®, Neo4j Bloom™, Neo4j Graph Data Science Library™, Neo4j® Aura™, and Neo4j® AuraDB™ are registered trademarks or a trademark of Neo4j, Inc. All other marks are owned by their respective companies.

Location: San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As Claude's capabilities grow, so does our responsibility to ensure those capabilities reach the right people. The Access Programs team builds the systems that verify who our customers are, grant access to advanced model capabilities for approved use cases, and ensure that access is not misused. As a software engineer on this team, you will build the identity, vetting, and access management infrastructure that underpins our trusted access programs, along with the monitoring and enforcement tooling that keeps them safe. This work sits at the center of how Anthropic deploys frontier capabilities responsibly, balancing broad access with rigorous safeguards. Responsibilities: Build identity verification and vetting systems (KYC/KYB) that establish who our individual and business customers are Design and implement access control systems that grant, scope, and revoke access to advanced capabilities based on approved use cases Build infrastructure to configure safety systems and detection thresholds on a per-customer basis for trusted access programs Develop monitoring to detect misuse of expanded access, and tooling that enables enforcement teams to act on it Partner closely with policy, enforcement, threat intelligence, product, research, and go-to-market teams so that access decisions are well-informed and consistently applied Build systems that identify account compromise and takeover, apply mitigations in real time, and carry affected accounts through to full remediation Design and build the dashboards, alerting, and internal admin tooling that give the team and its partners clear visibility into the health and outcomes of our access programs Integrate with third-party identity verification and data enrichment vendors You may be a good fit if you have: A Bachelor's degree in Computer Science, Software Engineering, or comparable experience Experience building and operating backend systems in production Strong coding skills in at least one general-purpose programming language, and experience building software with AI coding tools Strong communication skills and ability to explain complex technical concepts to non-technical stakeholders Care about the societal impacts of AI and want your work to make powerful systems safer Strong candidates may also: 8+ years of industry software engineering experience Experience building shared platforms or foundational services that many teams and products depend on, rather than one-off solutions for a single use case A track record of working across functions (for example engineering, product, policy, operations, and go-to-market) to gather requirements, reconcile competing needs, and drive adoption of what you build Experience with identity, authentication, or authorization systems at scale Experience with KYC/KYB workflows or identity verification vendors Experience in trust and safety, integrity, fraud, or abuse detection Experience detecting and responding to account takeover or credential compromise Experience partnering with operational teams to build custom internal tooling 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: $320,000 — $485,000 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: San Francisco, CA | New York City, NY | Seattle, WA 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 are looking for software engineers to help build safety and oversight mechanisms for our AI systems. As a software engineer on the Safeguards team, you will work to monitor models, prevent misuse, and ensure user well-being. This role will focus on building systems to detect unwanted model behaviors and prevent disallowed use of models. You will apply your technical skills to uphold our principles of safety, transparency, and oversight while enforcing our terms of service and acceptable use policies. Responsibilities: Develop monitoring systems to detect unwanted behaviors from our API partners and potentially take automated enforcement actions; surface these in internal dashboards to analysts for manual review Build abuse detection mechanisms and infrastructure Surface abuse patterns to our research teams to harden models at the training stage Build robust and reliable multi-layered defenses for real-time improvement of safety mechanisms that work at scale You may be a good fit if you have: A Bachelor’s degree in Computer Science, Software Engineering or comparable experience Proficiency in Python and Typescript An ability to work across the stack Strong communication skills and ability to explain complex technical concepts to non-technical stakeholders Strong candidates may also: 8+ years of experience in a software engineering position Have experience with integrity, spam, fraud, or abuse detection and mitigation Have experience building trust and safety detection mechanisms and intervention for AI/ML systems Have experience with prompt engineering, jailbreak attacks, and other adversarial inputs Have worked closely with operational teams to build custom internal tooling 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: $320,000 — $485,000 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 Workplace: Remote We are building AI to simulate the world through merging art and science. We believe that world models are at the frontier of progress in artificial intelligence. Language models alone won’t solve the world’s hardest problems – robotics, disease, scientific discovery. Real progress requires models that experience the world and learn from their mistakes, the same way that humans do. And this kind of trial and error can be massively accelerated when done in simulation, rather than in the real world. World models offer the most clear path to general-purpose simulation, changing how stories are told, how scientific progress is made and how the next frontiers of humanity are reached. Our team consists of creative, open minded, caring and ambitious people who are determined to change the world. We aspire to continuously build impossible things and our ability to do so relies on building an incredible team. If you are driven to do the same, we'd love to hear from you. *Titles posted to our careers page are updated regularly to best advertise the role and expected seniority, but internally we have a flat titling system with two types of titles: one for individual contributors and one for people managers. ABOUT THE ROLE Open to hiring remote — we also have offices in New York, San Francisco, Seattle, London, Paris, and Tel Aviv. Runway is hiring a Detection & Response Engineer to own how we find and stop attacks against our infrastructure, our research environment and our products. Securing a company that trains and serves frontier video models is a different problem from securing a typical SaaS product. The environment includes research compute, large training datasets, a fast-moving build pipeline and engineers who work inside AI-assisted tooling every day. Each of those changes what an attack looks like and what you need to see to catch it. You'll join the Security team and build our detection and response program the way an engineer would: detections as code, response as automation, evidence as something you can query. This is a role with real ownership: you'll own the detection program end to end, from what we log to how quickly we close an incident. You'll report to the head of security, partner with engineers across platform and research, and shape how this function grows from here. WHAT YOU'LL DO - Own detection and response end to end: what we log, what we alert on, how we triage and how we recover - Write and tune detections as code across multiple cloud environments, Kubernetes, identity systems, endpoints and SaaS, and measure them on coverage and precision rather than alert volume - Lead incident response from the first alert through containment and forensics, then write the post-incident review people actually read - Build automation that takes toil out of triage, including enrichment, correlation, containment actions and evidence collection, and use LLM-based tooling where it holds up under audit - Monitor AI agents and developer tooling operating inside our environment, and turn that into concrete telemetry and controls - Partner with platform and research engineers so new systems ship with logging and response playbooks in place on day one - Run threat hunts and tabletop exercises against the parts of the environment that worry you most, and fix what you find - Turn incident and detection metrics into evidence for SOC 2, ISO 27001 and enterprise customer security reviews, working with our GRC team - Participate in an on-call rotation for security incidents WHAT YOU'LL NEED - Hands-on incident response experience: you've triaged live alerts, led investigations and written up what happened afterward - Experience building and tuning detections in a modern SIEM, ideally managed as code - Working knowledge of how attackers move through cloud and Kubernetes environments (IAM abuse, container escape, credential theft, supply chain compromise) and what that leaves behind in logs - Comfort writing Python, Typescript, Rust or another language to automate response work and connect security tools - Familiarity with at least one major cloud platform and with Kubernetes at the level of audit logs, RBAC and workload identity - Clear writing. Incident timelines, detection documentation and updates to leadership are all part of the job - Judgment about what to alert on, what to automate and when to wake someone up EVEN BETTER IF YOU HAVE - Experience monitoring GPU or HPC-style infrastructure, or research environments with large datasets - Experience building detections or guardrails for AI agents, LLM tooling or MCP servers - Cloud forensics experience: disk and memory acquisition, cloud audit trail reconstruction, chain of custody - Published open source detection content Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package we provide. There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range. Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates. WORKING AT RUNWAY Great things come from great teams. https://www.youtube.com/watch?v=kwmj4ato2kw&ab_channel=Runway We’d love to hear from you. We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. So regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply. More about Runway - Universal World Simulator https://runwayml.com/world-simulator.html - GWM-1 https://runwayml.com/research/introducing-runway-gwm-1 - Gen-4.5 https://runwayml.com/research/introducing-runway-gen-4.5 - General World Models https://runwayml.com/research/introducing-general-world-models - Robotics SDK https://runwayml.com/research/introducing-runway-gwm-1#robotics-section - Conversational Real-time Agents https://runwayml.com/research/introducing-runway-gwm-1#avatars-section - Runway Studios https://runwayml.com/studios We're excited to be recognized as a best place to work: Crain's https://www.crainsnewyork.com/awards/best-places-work-2023 | InHerSight https://www.inhersight.com/companies/best/city/new-york-city-ny | BuiltIn NYC https://builtin.com/awards/new-york-city/2024/best-places-to-work | INC https://www.inc.com/best-workplaces/2024

Location: Remote Workplace: Remote We are building AI to simulate the world through merging art and science. We believe that world models are at the frontier of progress in artificial intelligence. Language models alone won’t solve the world’s hardest problems – robotics, disease, scientific discovery. Real progress requires models that experience the world and learn from their mistakes, the same way that humans do. And this kind of trial and error can be massively accelerated when done in simulation, rather than in the real world. World models offer the most clear path to general-purpose simulation, changing how stories are told, how scientific progress is made and how the next frontiers of humanity are reached. Our team consists of creative, open minded, caring and ambitious people who are determined to change the world. We aspire to continuously build impossible things and our ability to do so relies on building an incredible team. If you are driven to do the same, we'd love to hear from you. *Titles posted to our careers page are updated regularly to best advertise the role and expected seniority, but internally we have a flat titling system with two types of titles: one for individual contributors and one for people managers. ABOUT THE ROLE *Open to hiring remote — we also have offices in New York, San Francisco, Seattle, London, Paris, and Tel Aviv. Runway is hiring an Infrastructure Security Engineer to secure the platform our models are trained and served on. The role covers Kubernetes platform security, cloud identity and access, software supply chain, tenant isolation in the serving layer and the research infrastructure behind our models. Securing a company that trains and serves frontier video models is a different problem from securing a typical SaaS product. The environment includes research compute, large training datasets, a fast-moving build pipeline, and engineers who work inside AI-assisted tooling every day. Each of those changes what an attack looks like and what the platform has to enforce to stop it. This is a hands-on engineering role on the Security team. You'll write policy, tooling and infrastructure code, work in the platform team's repositories, and ship controls that hold up in production. WHAT YOU'LL DO - Design and ship security controls in our Kubernetes ecosystem: admission policy, RBAC, workload identity, network policy and runtime hardening across every cluster we run - Harden the software supply chain from dependency intake through build and deploy, including package firewalling, artifact signing and provenance, and admission controls that block what doesn't pass - Own cloud IAM and identity architecture: least-privilege roles, short-lived credentials and workload federation - Secure research infrastructure and training pipelines, including access to model weights and datasets, without slowing down the people using them - Threat model new platform components before they ship and turn the findings into concrete requirements the owning team can act on - Build guardrails for AI agents and developer tooling operating inside our infrastructure - Write infrastructure as code and policy as code, and treat security configuration with the same review and rollout discipline as any other change - Give the incident response team what they need when infrastructure is involved: fast answers about how a system works and what to shut off WHAT YOU'LL NEED - Hands-on experience securing Kubernetes in production: you've written admission policies, debugged RBAC and workload identity problems and understand how a cluster gets compromised - Working knowledge of cloud IAM and networking on at least one major cloud platform, including how identity federation and short-lived credentials actually work - Experience with infrastructure as code and GitOps-style deployment, and the habit of shipping security changes through the same pipeline as everything else - Comfort writing Python, Typescript, Rust or another language to build tooling, not just scripts - An understanding of software supply chain attacks and the controls that stop them: signing, provenance, SBOMs, admission enforcement - Clear writing. Design docs, threat models and explanations to engineers who don't work in security are all part of the job - Judgment about which controls to enforce, which to recommend and how to roll out a breaking change without breaking the company EVEN BETTER IF YOU HAVE - Experience securing GPU or HPC-style compute, training pipelines or research environments - Experience with policy engines and admission controllers (Kyverno, OPA Gatekeeper, Falco or similar) - Multi-tenant isolation design in a cloud environment: ABAC, scoped credentials, per-tenant boundaries - Experience producing security architecture evidence for SOC 2, ISO 27001 or other audits and customer assessments - Open source contributions or published work in cloud or Kubernetes security Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package we provide. There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range. Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates. WORKING AT RUNWAY Great things come from great teams. https://www.youtube.com/watch?v=kwmj4ato2kw&ab_channel=Runway We’d love to hear from you. We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. So regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply. More about Runway - Universal World Simulator https://runwayml.com/world-simulator.html - GWM-1 https://runwayml.com/research/introducing-runway-gwm-1 - Gen-4.5 https://runwayml.com/research/introducing-runway-gen-4.5 - General World Models https://runwayml.com/research/introducing-general-world-models - Robotics SDK https://runwayml.com/research/introducing-runway-gwm-1#robotics-section - Conversational Real-time Agents https://runwayml.com/research/introducing-runway-gwm-1#avatars-section - Runway Studios https://runwayml.com/studios We're excited to be recognized as a best place to work: Crain's https://www.crainsnewyork.com/awards/best-places-work-2023 | InHerSight https://www.inhersight.com/companies/best/city/new-york-city-ny | BuiltIn NYC https://builtin.com/awards/new-york-city/2024/best-places-to-work | INC https://www.inc.com/best-workplaces/2024