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Location: London WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform. WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement. Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it. Technologists at WorldQuant research, design, code, test and deploy firmwide platforms and tooling while working collaboratively with researchers and portfolio managers. Our environment is relaxed yet intellectually driven. We seek people who think in code and are motivated by being around like-minded people. The Role: Our group is responsible for building software enabling both the large-scale quantitative research operations that drive WorldQuant’s platform and the production of our portfolio. The team is currently embarking on a multi-year journey to provide a powerful, scalable, and efficient platform to drive the firm’s next decade of growth. We are looking for someone who can own some of the unique technical challenges inherent in the problem and who can bring solid experience and perspective to the team. What You’ll Bring: A successful candidate will possess: A minimum of 7 years of writing production-quality code in Python on Linux platform Candidate must be willing to learn C++. Experience in C++ is a strong plus Candidate must have strong interest and motivation to work with machine learning, deep learning, backtesting platform design and development technologies. Prior experience is not required but will be considered as a strong plus. Strong understanding and experience with Linux system programming fundamentals Ability to develop large-scale, distributed systems Strong understanding of data structures, algorithms, high-performance application design, and concurrency patterns. Self-motivated and able to work independently with minimal direction Proficiency in English An outstanding candidate will also have experience with one or more of: Developing systems for managing and performing computation on large-scale graph data Streaming / dataflow systems Candidates need not have prior experience in financial services. #LI-MH1 By submitting this application, you acknowledge and consent to terms of the WorldQuant Privacy Policy. The privacy policy offers an explanation of how and why your data will be collected, how it will be used and disclosed, how it will be retained and secured, and what legal rights are associated with that data (including the rights of access, correction, and deletion). The policy also describes legal and contractual limitations on these rights. The specific rights and obligations of individuals living and working in different areas may vary by jurisdiction. Copyright © 2025 WorldQuant, LLC. All Rights Reserved. WorldQuant is an equal opportunity employer and does not discriminate in hiring on the basis of race, color, creed, religion, sex, sexual orientation or preference, age, marital status, citizenship, national origin, disability, military status, genetic predisposition or carrier status, or any other protected characteristic as established by applicable law.

Location: Europe; Singapore; Belgium; Thailand; France; Philippines; Ireland; Georgia; Spain; Portugal; United Kingdom Workplace: Remote BUILD, SCALE & OPERATE LEADING DTC BRANDS ALONGSIDE A-PLAYERS MANEUVER MARKETING Our Vision, Mission & Success are fuelled by our commitment to be a driving force of positive change to the health of everyday consumers, providing conscious, high-quality & innovative supplement products. In just 5 years, we kicked off our own DTC Health & Wellness brand from scratch and scaled it to USD$100M+ in annual sales, serving more than 3,000,000 customers worldwide with an average of 4,000 daily orders across 9 SKUs. These results caught the attention of The Financial Times https://www.ft.com/high-growth-asia-pacific-ranking-2023, as they ranked us among APACs top High-Growth Companies. We have also been awarded 2nd place on the E50 Awards https://www.sph.com.sg/media-centre/media-releases/fifty-local-smes-honoured-for-pioneering-success-and-innovation-at-30th-e50-awards/, jointly organised by The Business Times and KPMG in Singapore. This is just the beginning of our journey, and you could be part of the next stage of our growth! YOUR NEXT ROLE As a Performance Creative Strategist (AppLovin), you’ll be at the forefront of helping us build AppLovin into a scalable customer acquisition channel for our DTC supplements brand. You’ll own the creative strategy for AppLovin across multiple SKUs, shaping how we test, learn, and scale creative that drives profitable growth. This is not a role attached to a single product pod; instead, you’ll operate at the channel level, identifying what works on AppLovin and translating those learnings into repeatable systems that can be applied across the business. You’ll work closely with Growth & Creative teams in charge of individual products to develop performance-driven concepts, influence campaign decision-making, and build the creative playbook for a channel we’re looking to grow from the ground up. Serving a primarily female demographic aged 35–65, you’ll combine direct response thinking, creative testing strategy, and strong commercial instincts to develop ad concepts that improve click-through, conversion, and overall campaign efficiency.   WHAT YOU’LL DO BUILD THE APPLOVIN CREATIVE PLAYBOOK - Lead the development of our creative strategy for AppLovin as a growth channel, establishing the testing principles, creative frameworks, and performance patterns that will shape how we scale. - Identify what drives success on AppLovin and turn those insights into a repeatable playbook that can be applied across multiple SKUs and offers. - Help define the role creative plays in campaign performance, and shape how creative and media buying work together to unlock channel growth. CONDUCT IN-DEPTH PERFORMANCE CREATIVE RESEARCH - Dive into winning ad patterns, competitor activity, offer positioning, hooks, visual formats, and messaging angles relevant to paid acquisition. - Distil learnings into actionable testing hypotheses and creative directions that align with business goals and customer psychology. - Develop a strong understanding of how creatives should be adapted to suit AppLovin’s environment and performance model. EXECUTE A STRATEGIC TESTING PROCESS - Build and manage a structured testing roadmap across concepts, hooks, angles, offers, formats, and messaging variations. - Continuously identify opportunities to refresh, iterate, and scale creative based on performance signals. - Balance testing velocity with strategic thinking, ensuring we are not only generating new ideas, but learning systematically from results. INFLUENCE MEDIA BUYING & CAMPAIGN DECISION-MAKING - Partner closely with media buyers to interpret creative performance and influence campaign decisions based on what is resonating. - Help determine which creative directions deserve more spend, further iteration, or strategic repositioning. - Bring a creative lens into campaign planning so that media buying decisions are informed by strong concept logic and testing insights. CREATE CONCEPTS THAT DRIVE PAID ACQUISITION - Develop direct response ad concepts designed to attract attention, communicate value clearly, and drive action. - Craft ideas that align with different offers, customer motivations, objections, and stages of purchase intent. - Ensure creative is not just visually strong, but strategically designed to improve acquisition efficiency. WORK ACROSS MULTIPLE SKUS & OFFERS - Apply performance creative learnings across a portfolio of products rather than focusing on a single SKU. - Adapt concepts and messaging to different products, audiences, and commercial priorities while maintaining a disciplined testing approach. - Help the wider business identify which creative patterns are broadly scalable versus offer-specific. OPTIMIZE CONVERSION LEVERS THROUGH CREATIVE STRATEGY - Identify bottlenecks in the customer acquisition journey and propose creative solutions that improve performance. - Test and refine key levers such as hooks, offer framing, problem-solution messaging, proof points, product demonstration, and calls to action. - Use performance insights to sharpen how we communicate value and reduce friction from first impression through conversion. HOW YOU’LL SUCCEED - Build a clear and actionable creative playbook for AppLovin that gives the team a strong foundation for scaling the channel. - Consistently generate concepts that improve engagement, click-through, conversion quality, and overall campaign efficiency. - Help turn AppLovin into a meaningful and profitable acquisition channel across multiple SKUs and offers. - Influence campaign direction through strong creative judgment and thoughtful partnership with media buying. - Increase creative testing velocity and hit rate by developing repeatable frameworks for ideation, iteration, and scale. WHAT YOU BRING - 5+ years in DTC performance creative, creative strategy, or growth-focused advertising, ideally in direct response environments. - Strong experience developing ad concepts for paid acquisition channels, with a clear understanding of how creative influences media performance. - Deep familiarity with creative testing methodologies, including how to evaluate and iterate on hooks, angles, formats, messaging, and offers. - Ability to think strategically across multiple SKUs and offers, rather than only within a single product lane. - Strong commercial instincts and the ability to connect creative decisions with acquisition outcomes. - Experience partnering closely with media buyers or growth marketers to shape campaign direction. - A sharp eye for what makes performance creative work — from audience psychology and offer communication to clarity, pace, and conversion intent. - A proactive, builder mentality: comfortable creating new systems, defining best practices, and helping establish a new growth playbook from the ground up. ABOUT YOUR APPLICATION - Please submit your application in English. It's our company language so you'll be speaking lots of it if you join. - We treat all candidates equally - if you're interested please apply through our careers portal.

Location: Hong Kong, Hong Kong SAR OKX will be prioritising applicants who have a current right to work in Hong Kong, and do not require OKX's sponsorship of a visa. Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About The Opportunity Event Contracts are one of the fastest-growing financial innovation categories globally over the past two years, showing significant potential across crypto, politics, sports, and macro events. We are building our own Event Contract product line from the ground up. We are looking for a Senior Product Manager who understands both financial products design, trading systems and market microstructure to take the business line to the next growth phase. What You’ll Be Doing Own the full lifecycle of this business line — from mechanism design and liquidity build-out to user growth and experience optimization — driving the end-to-end planning and execution of the Event Contract product line. Product Mechanism Design : Own the overall design of Event Contract products, including but not limited to product specs for Up-Down, Between (range), and Hit; strike price generation logic; settlement mechanism design; and the specs of contracts on crypto, equities, and other underlyings. Market Depth & Liquidity Framework : Design and drive the Market Maker incentive and obligation framework (spread, depth, uptime, and other obligation metrics); continuously monitor order book quality (spread / depth / uptime) to keep the product competitive on key liquidity metrics. Business Growth : Own user experience, user growth, and business scaling for this category — including defining and executing user growth campaigns, acquisition/retention/activation strategies, and coordinating channel and operations resources; accountable for core business metrics such as trading volume and user count. Competitive Research, Data-Driven Decisions & Cross-Team Collaboration : Continuously track the product mechanisms, fee structures, volume composition, and growth strategies of leading domestic and international competitors, translating industry best practices into product iteration plans for our platform; conduct in-depth analysis of internal trading data to produce actionable product and growth recommendations; work closely with Trading Engine, Frontend, Risk/Settlement, Liquidity/Market Making, and Operations teams to drive execution and iteration. New Business Exploration : Explore opportunities to combine event contracts with other product formats (e.g., structured products, social/community mechanics, copy trading, broker distribution partnerships) to open up new growth curves for the platform. What We Look For In You Experience building complex backend systems from 0 to 1 (e.g. trading systems, ad systems, e-commerce systems, or payment systems). Candidates with internet product growth experience, having led acquisition/retention/activation campaigns and owned business outcomes and metrics, have a strong advantage. Exceptional learning ability, logical reasoning, and quantitative skills. Strong ability to abstract and translate real-world business scenarios into elegant data structures and business logic. Deep understanding of financial derivatives principles, and experience owning the 0-to-1 design or large-scale overhaul of futures/options trading systems is preferred. Alternatively, strong learning ability and transferable methodology from building similar complex systems are welcome. Strong drive and leadership. Excellent data analytical skills. Strong insight and judgment, and able to identify hot topics and market opportunities amid constant change. Sustained interest in and understanding of event contracts underlying such as crypto, macro events, sports, and politics. Ability to systematically produce AI tools to improve personal work output and efficiency (AI leverage) — e.g. using AI to support data analysis, documentation, and code/query writing in day-to-day work. Experience investing or trading in equities, FX, crypto spot/derivatives, or quantitative trading is preferred. Nice-To-Haves Experience in options product design or trading, or hands-on trading/research/industry experience with similar event contracts platforms is a plus. Experience designing Market Maker strategies or liquidity incentive mechanisms is a plus. Perks & Benefits Competitive total compensation package L&D programs and education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! Please note that Hong Kong is a group-level service hub, and OKX does not carry on a business of operating a virtual asset trading platform in Hong Kong. Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: Singapore, Singapore OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX's sponsorship of a visa. Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About The Opportunity Event Contracts are one of the fastest-growing financial innovation categories globally over the past two years, showing significant potential across crypto, politics, sports, and macro events. We are building our own Event Contract product line from the ground up. We are looking for a Senior Product Manager who understands both financial products design, trading systems and market microstructure to take the business line to the next growth phase. What You’ll Be Doing Own the full lifecycle of this business line — from mechanism design and liquidity build-out to user growth and experience optimization — driving the end-to-end planning and execution of the Event Contract product line. Product Mechanism Design : Own the overall design of Event Contract products, including but not limited to product specs for Up-Down, Between (range), and Hit; strike price generation logic; settlement mechanism design; and the specs of contracts on crypto, equities, and other underlyings. Market Depth & Liquidity Framework : Design and drive the Market Maker incentive and obligation framework (spread, depth, uptime, and other obligation metrics); continuously monitor order book quality (spread / depth / uptime) to keep the product competitive on key liquidity metrics. Business Growth : Own user experience, user growth, and business scaling for this category — including defining and executing user growth campaigns, acquisition/retention/activation strategies, and coordinating channel and operations resources; accountable for core business metrics such as trading volume and user count. Competitive Research, Data-Driven Decisions & Cross-Team Collaboration : Continuously track the product mechanisms, fee structures, volume composition, and growth strategies of leading domestic and international competitors, translating industry best practices into product iteration plans for our platform; conduct in-depth analysis of internal trading data to produce actionable product and growth recommendations; work closely with Trading Engine, Frontend, Risk/Settlement, Liquidity/Market Making, and Operations teams to drive execution and iteration. New Business Exploration : Explore opportunities to combine event contracts with other product formats (e.g., structured products, social/community mechanics, copy trading, broker distribution partnerships) to open up new growth curves for the platform. What We Look For In You Experience building complex backend systems from 0 to 1 (e.g. trading systems, ad systems, e-commerce systems, or payment systems). Candidates with internet product growth experience, having led acquisition/retention/activation campaigns and owned business outcomes and metrics, have a strong advantage. Exceptional learning ability, logical reasoning, and quantitative skills. Strong ability to abstract and translate real-world business scenarios into elegant data structures and business logic. Deep understanding of financial derivatives principles, and experience owning the 0-to-1 design or large-scale overhaul of futures/options trading systems is preferred. Alternatively, strong learning ability and transferable methodology from building similar complex systems are welcome. Strong drive and leadership. Excellent data analytical skills. Strong insight and judgment, and able to identify hot topics and market opportunities amid constant change. Sustained interest in and understanding of event contracts underlying such as crypto, macro events, sports, and politics. Ability to systematically produce AI tools to improve personal work output and efficiency (AI leverage) — e.g. using AI to support data analysis, documentation, and code/query writing in day-to-day work. Experience investing or trading in equities, FX, crypto spot/derivatives, or quantitative trading is preferred. Nice-To-Haves Experience in options product design or trading, or hands-on trading/research/industry experience with similar event contracts platforms is a plus. Experience designing Market Maker strategies or liquidity incentive mechanisms is a plus. Perks & Benefits Competitive total compensation package L&D programs and education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: Old Greenwich WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform. WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement. Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it. Location: Old Greenwich, CT; New York, NY; or West Palm Beach, FL The Role: WorldQuant is seeking an exceptional individual to join our CIO Management Team as a Junior Quantitative Project Manager focused on the Meta Alpha Model business. The Meta Alpha Model business combines individual alpha signals into meta signals. This full-time role offers an opportunity for a highly analytical, motivated professional with a strong interest in finance, global markets, and technology to lead strategic, operational, and analytical initiatives across the investment organization. The ideal candidate brings a research-oriented mindset, curiosity about complex problems, and the initiative to drive challenging, open-ended work in collaboration with cross-functional stakeholders. The job responsibilities include, but are not limited to, the following: Lead strategic, operational, and analytical initiatives for the Meta Alpha Model business in partnership with investment management teams. Drive technical projects and new programs, from requirements and team formation through working group coordination. Align deliverables with program goals and roadmap priorities, adjusting plans as needs change. Plan resources and coordinate work across teams and projects. Identify risks early and work with stakeholders to resolve issues. Build and improve dashboards, reports, and tracking tools; maintain supporting data in MySQL, Vertica, and PostgreSQL. Analyze initiative performance and report insights to guide decisions. Improve Meta Alpha Model operations and lead process changes. Translate business requirements into actionable plans and deliverables. Lead stakeholder communications and cross-functional problem-solving, including presentations, newsletters, and content-process improvements. What You’ll Bring: Bachelor’s or Master’s degree in an analytical field (e.g. Computer Science, Mathematics, Economics, Finance, Engineering) 1-3 years of experience in a project management role for a financial services company required Strong knowledge of financial markets and experience in investment management or a related finance/technology environment Demonstrated ability to take initiative, work independently, and solve open-ended problems Strong analytical and project management skills, sound judgment, and close attention to detail Thoughtful collaborator who can work effectively with management teams and diverse stakeholders Experience with Python, Jupyter notebooks, and dashboard solutions required Strong written and verbal communication skills and comfort presenting to key stakeholders Our Benefits: Core Benefits: Fully paid medical and dental insurance for employees and dependents, flexible spending account, 401k, fully paid parental leave, generous PTO (paid time off) that consists of: twenty vacation days that are pro-rated based on the employee’s start date, at an accrual of 1.67 days per month, three personal days, and ten sick days. Perks: Employee discounts for gym memberships, wellness activities, healthy snacks, casual dress code Training: learning and development courses, speakers, team-building off-site Employee resource groups Pay Transparency: WorldQuant is a total compensation organization where you will be eligible for a base salary, discretionary performance bonus, and benefits. To provide greater transparency to candidates, we share base pay ranges for all US-based job postings regardless of state.  We set standard base pay ranges for all roles based on job function and level, benchmarked against similar stage organizations.  When finalizing an offer, we will take into consideration an individual’s experience level and the qualifications they bring to the role to formulate a competitive total compensation package. The Base Pay Range For This Position Is $100,000– $115,000 USD. At WorldQuant, we are committed to providing candidates with all necessary information in compliance with pay transparency laws.  If you believe any required details are missing from this job posting, please notify us at WQHR_US@WorldQuant.com , and we will address your concerns promptly. By submitting this application, you acknowledge and consent to terms of the WorldQuant Privacy Policy. The privacy policy offers an explanation of how and why your data will be collected, how it will be used and disclosed, how it will be retained and secured, and what legal rights are associated with that data (including the rights of access, correction, and deletion). The policy also describes legal and contractual limitations on these rights. The specific rights and obligations of individuals living and working in different areas may vary by jurisdiction. Copyright © 2025 WorldQuant, LLC. All Rights Reserved. WorldQuant is an equal opportunity employer and does not discriminate in hiring on the basis of race, color, creed, religion, sex, sexual orientation or preference, age, marital status, citizenship, national origin, disability, military status, genetic predisposition or carrier status, or any other protected characteristic as established by applicable law.

Location: Serbia POWER A WORLD OF TRUST Incode is the leading provider of world-class identity solutions that is reinventing the way humans authenticate and verify their identities online to power a world of digital trust. Through our revolutionary identity solutions, we are unleashing the business potential of universal industries including finance, government, retail, hospitality, gaming, and more, by reducing fraud and transforming human interactions with data, products, and services. We’re in the process of rapidly scaling our diverse global team and we’re looking for entrepreneurial individuals and leaders who are curious, driven, and excited by ownership to join a Unicorn-status scale-up! About Incode Incode is a Series B unicorn rewriting how the world proves identity. Our AI-powered platform lets leading banks, fintechs, marketplaces, and governments deliver friction-free experiences while defeating fraud and safeguarding privacy. Customers such as Citi, AirBnB, Block, Chime, Sixt, and TikTok rely on Incode to power their identity verification and security. Recently named a Leader in the Gartner® Magic Quadrant™ for Identity Verification, we're scaling fast and we're looking for an Analytics Team Lead to make the quality of our identity technology visible, measurable, and relentlessly data-driven. The Impact You'll Make This role sits on the Document Intelligence team — the group behind Incode's industry-leading document processing. Our technology parses identity documents from around the world — passports, visas, driver's licenses, proof of address, and more — for some of the biggest enterprises on the market. Machine learning is the core of the product, and Analytics is what makes its quality visible and its roadmap data-driven. We're looking for a Senior Lead of Data Analytics who is, first and foremost, a sharp hands-on analyst — and who has the leadership experience to grow a small, high-impact team around them. Today the team is three people; you'll be the fourth, owning it end-to-end. This is a true player-coach role: you'll manage and mentor the team while personally writing the pipelines, queries, and analyses. Our analytics is partially built — some data pipelines and testing procedures are already in place, but metric coverage and visibility are far from complete. Your mission is to close that gap. What You'll Own & Drive Lead & Grow the Team — Run the analytics team as a formal manager: own the roadmap, hold 1:1s and performance reviews, develop your analysts, and participate in hiring as the team scales. Stay Hands-On — This role involves a lot of personal execution. You'll write SQL and Python pipelines for data collection, processing, and labeling — and do the analysis yourself. Expand the Metric Tree — Build out the end-to-end metric tree that measures product quality across the document-processing pipeline, closing coverage gaps where the product is currently blind. Build Visibility — Create reporting and dashboards that surface weak points and turn raw signals into clear insights for ML, product, and leadership. Own ML Quality Evaluation — Drive data preparation for ML, model quality assessment, and benchmarking, in tight collaboration with the ML team. Drive Experimentation — Design, run, and interpret A/B tests across mobile and server side, with genuine statistical rigor. Guard Data & Labeling Quality — Monitor accuracy and consistency, and build the controls that keep them high. Bridge to Engineering — When events or data are missing, pinpoint exactly what's needed and where it should come from, write clear and actionable tasks for the backend and data teams, and justify their prioritization in business terms. Systematize — Turn one-off analyses into repeatable, owned pipelines and reporting cadences. Your Background Team leadership experience , paired with a genuine appetite to stay hands-on — you lead and you build. Strong Python , with a bias toward clean, maintainable, well-structured code. Strong SQL and solid experience with columnar / analytical databases. Strong statistics and experimental design — you can design tests (A/B and beyond), reason about significance and power, and interpret results correctly. Modern data tooling — experience with workflow orchestration, data transformation, cloud storage, and experiment-tracking. Our stack is Python, S3, Redshift, ClearML, Airflow, and dbt; equivalent tools are perfectly fine — what matters is that you've worked with this kind of stack. Excellent communication — you can translate a data gap into a prioritized, business-justified requirement, talk to engineers and stakeholders in their own language, and make the case for what gets built. High ownership, autonomy, and pragmatism — comfortable prioritizing impact over perfection in an evolving environment. Bonus points for: Experience with ML-centered products — evaluating model quality and working alongside ML teams. You won't be expected to train production models; at most simple models for data filtering, plus the ability to run existing ones. Familiarity with data labeling processes and quality estimation/maintenance. Domain exposure to identity documents, OCR, or computer-vision pipelines. The Qualities That Set You Apart A player-coach at heart — you draw energy from both growing people and doing the work yourself. Craftsmanship in how you build — clean code, sound pipelines, and analyses others can trust and reuse. Intellectual honesty and statistical rigor — you follow the data where it leads and know when a result is real. A translator's instinct — you turn ambiguous signals into clear insight and make the business case for what to build next. Pragmatism and high ownership — you thrive in an evolving environment and push for impact over perfection. Why Incode? Mission with Meaning — Shape how billions of people prove identity — safely, simply, and ethically. Rocket-Ship Growth — Join at a defining moment where your work compounds in global impact. Elite Team & Technology — Collaborate with top-tier engineers, researchers, and scientists at the forefront of AI. Ownership & Autonomy — Operate with the freedom to test, build, and ship your ideas end-to-end. Global Impact — Your work will shape secure, frictionless identity verification experiences across continents. Aspects of our Culture: High performance Freedom & responsibility Context, not control Highly aligned, loosely coupled Continuous Feedback Promotions & Development Learn more about Life at Incode ! Benefits & Perks: Flexible Working Hours & Workplace Open Vacation Policy Equal Opportunities: Incode is an equal opportunity employer, committed to creating a diverse and inclusive work environment. We take great pride in having an inclusive, diverse, and global team, and we are always looking for talented and passionate individuals from all backgrounds and walks of life. As part of our commitment to inclusion, we ensure that reasonable accommodations are available throughout the hiring process. If you require any accommodation due to a disability or specific need, please let our Talent Acquisition team know—we’ll do our best to support you. Applicant Data Privacy: We will only use your personal information concerning Incode’s application, recruitment, and hiring processes.

Responsibilities — Own the Czech market as the first local salesperson, across all customer segments. — Work with the base of direct contacts (existing clients and warm leads): develop, close and reactivate. — Handle inbound: qualify quickly, run discovery, and convert interest into paying customers. — Drive outbound to larger and high-potential accounts through cold outreach, own network and industry communities. — Run the full sales cycle end to end — prospecting, discovery, demo, negotiation, close — and own the number. — Be the voice of the market: systematically gather customer needs, objections and pain points and feed them to product and marketing to tailor the offering to Czechia. — Test and iterate positioning, messaging and channels to find what resonates with Czech buyers. — Temporarily provide light customer-success care to the clients signed, until a dedicated CS person is in place (with a small servicing bonus). — Keep the CRM clean and share regular insight on pipeline, win/loss reasons and market signals. What we're looking for — Czech at native or near-native level (C2), spoken and written — daily conversations, calls and written correspondence in Czech. — Strong Czech-speaking Slovak candidates are also welcome. — Working English for internal communication. — Senior experience in B2B / SaaS sales (or strong service sales), with a hunter mindset. — A self-starter who can grow a market and bring product feedback from the field. What we offer — Base salary of EUR 2,000/month (Net). — On-target earnings from EUR 4,000/month with no upper cap — commission-based reflecting real sales performance. — Official employment in Hungary (Altegio Europe KFT). — Budapest-based; relocation considered — a relocation package is available for the right candidate.

Location: Canada Wide - Excluding Quebec; Texas - Remote; Colorado - Remote; Florida - Remote; Utah - Remote; Washington - Remote; USA; North Carolina - Remote; Georgia - Remote Workplace: Remote - Location: This role can be based anywhere in Canada (excluding Quebec) as a fully remote position. For candidates located in the Vancouver, BC Lower Mainland, there is flexibility to work remote, hybrid, or onsite at our Surrey headquarters. This role is also open to candidates in the USA as a fully remote position. - Please note that employment is contingent upon the successful completion of reference checks and background checks. Safe Software is looking for a VP, Revenue Operations to join our Revenue Operations team. As VP, Revenue Operations, you will design and enforce the operating model our entire go-to-market organization runs on, reporting directly to the Chief Revenue Officer and presenting regularly to the board. This is a builder’s mandate: the CRM isn’t fully configured, the forecasting process is mostly informal, the Rules of Engagement are still being written, and the AI tooling stack is unevaluated. You’re not fixing a broken system — you’re building the one Safe’s revenue org will run on for years. We have an immediate opening and are excited to find the right candidate to join our team. ABOUT THE TEAM As a part of the Revenue Operations team, you’ll build and lead a function that’s still taking shape — RevOps analysts, a Sales Enablement team, and a broader GTM Enablement capability, five to seven hires in total. Safe builds FME, the only All-Data, Any-AI Enterprise Integration Platform, trusted by 25,000+ enterprise customers in 125+ countries to bring their data to life. Profitable, growing, and scaling toward $250M ARR with a clear path to $700M, Safe is building a multi-motion revenue engine — direct field, inbound and outbound BDR, partner channel, EMEA, and Canada — and it needs a single operating authority to keep those motions from colliding. That’s this role. You’ll report to the CRO and work daily with VP Sales East, VP Sales West, and the EMEA leader, each of whom has strong opinions and moves fast. WHAT YOU’LL BE DOING As VP, Revenue Operations, you will operate at all altitudes — one week presenting forecast accuracy to the board, the next telling a VP Sales their deal doesn’t meet the bar to advance stage, regardless of how the conversation started. Both are the job. RULES OF ENGAGEMENT — OWNERSHIP & ACCOUNTABILITY - Write the rules everyone will actually operate inside. Safe is building a multi-motion revenue engine — direct field, inbound BDR, outbound BDR, partner channel, EMEA, Canada — and without clearly defined and enforced Rules of Engagement, those motions conflict, accounts get double-touched, partners get burned, and trust between functions collapses. You write it, socialize it across every stakeholder (including strong-willed VP Sales leaders who will push back), get it approved by the CRO, and enforce it through process design and CRM configuration. - Define territory and account ownership. Who owns what account, what happens at renewal, how partner and direct conflict is resolved, and what triggers an escalation to the CRO. - Set lead routing and BDR handoff standards. How inbound and outbound leads are qualified, assigned, accepted, and rejected, with SLA definitions for each stage and accountability for every gate. - Design the partner co-sell and channel conflict policy. Clear rules for when the partner leads, when direct leads, and how sourcing credit is allocated, reviewed and agreed with the Partner Leader and EMEA Leader at launch. - Hold the qualification gates. Define MEDDPICC field requirements by stage, what must be true before a deal advances, and what RevOps will kick back regardless of who is asking. GTM ENABLEMENT - Close the ramp gap. At Safe’s current hiring pace across AEs, BDRs, SEs, CSMs, and partners, the difference between a 30-day ramp and a 90-day ramp is a material revenue number — this role owns closing that gap. - Build the function, not just the content. The Sales Enablement team reports directly into this role. You’ll build it, hire against a capability scorecard, and hold the team accountable to ramp and productivity outcomes, not just content creation. - Design role-based onboarding. Structured, milestone-gated onboarding tracks for every GTM role — AE, BDR, SE, CSM, and partner — with clear ready-to-carry-quota certification criteria and a defined ramp timeline per role. - Own the sales methodology and playbook. The single source of truth for how Safe sells — pitch structure, discovery framework, objection handling, competitive positioning, and deal execution standards — updated quarterly with input from the field and calibrated against win/loss data. - Turn Gong data into a coaching loop. Use Gong and other tooling to create a systematic feedback loop from deal recordings and call reviews to enablement content updates, so the playbook reflects what actually wins, not what the last training deck said. REVENUE ARCHITECTURE & AI-NATIVE GTM STACK - Give the CRO one version of the truth. Build the weekly, monthly, and quarterly forecasting process — call accuracy, coverage ratios, deal velocity — so the CRO walks into every board meeting with zero surprises. - Own the numbers that matter. Pipeline model, funnel metrics, win-rate analytics, rep productivity, CAC payback, and NRR by segment and vertical, owned by you, trusted by the board. - Evaluate and integrate the AI-native GTM stack. CRM (HubSpot), conversation intelligence (Gong), outbound automation, intent data, and agentic AI workflows — owning use-case prioritization, adoption, and value realization across the revenue org. AI architecture, security review, and governance decisions are made in partnership with IT and Engineering. - Enforce data governance with teeth. Own the data model in CRM, ensuring field hygiene, account hierarchy, and MEDDPICC field consistency across every pod, globally. EXECUTIVE LEADERSHIP & CROSS-FUNCTIONAL AUTHORITY - Earn credibility through data, not hierarchy. Working with high-performing, highly opinionated VP Sales leaders is a feature of this role, not a bug — you’ll push back on a VP Sales who wants to move a deal to the wrong stage, enforce an ROE that a regional leader finds inconvenient, and do it in a way that preserves the relationship. - Present to the board and hold up under questioning. You’ll present pipeline health, forecast accuracy, and GTM efficiency metrics directly to Safe’s board — output that’s clear, accurate, and defensible, from someone who can handle hard questions from investors without flinching. - Own the cross-functional cadence. Finance, Marketing, CS, Product, and Legal all have legitimate interests in how the GTM org operates — you mediate those interests and own the QBRs, planning cycles, and headcount models that keep the org moving in the same direction. LEADERSHIP & IMPACT This is single-threaded ownership of the operating system, not a shared function. You set the Rules of Engagement, own the forecasting methodology, and hold budget and vendor authority over the RevOps and Enablement tooling stack. When a VP Sales and the model disagree, the model doesn’t move without your sign-off — and you carry that authority directly to the CRO and, on a regular cadence, to the board. - The board stops asking why the number moved. Forecast accuracy becomes predictable enough that variance is the exception the CRO has to explain, not the norm. - The rules hold under pressure. Rules of Engagement survive contact with a strong-willed VP Sales who wants an exception — and when they don’t, that’s a deliberate call you made, not a gap they found. - RevOps becomes a real team. What starts as a single-person mandate becomes a functioning function of RevOps, Enablement, and analytics talent that other departments route through by default. - GTM tooling delivers measurable outcomes. AI and automation investments are evaluated against clear success criteria — rep productivity, pipeline data quality, forecast accuracy, and adoption rates — before scaling. Pilots that don't meet the bar are discontinued; those that do are operationalized. QUALIFICATIONS, SKILLS, AND COMPETENCIES Safers come from a variety of backgrounds with a diversity in skills and knowledge. That said, we find that those who are most successful in this role have experience with the following areas. Required skills: - 10–15+ years in Revenue Operations, Sales Operations, or GTM Strategy at a scaling B2B SaaS company, at VP or Senior Director level with direct board-level exposure - Experience building and enforcing a Rules of Engagement framework across multiple GTM motions, including the hard conversations with sales leaders who push back - A track record presenting pipeline health, forecast, and GTM efficiency metrics directly to a board or equivalent investor group - Experience holding strong field sales leaders accountable through data and rigor rather than hierarchy - People leadership experience — hiring, developing, and holding accountable a multi-functional team spanning RevOps analysts and sales enablement - Ownership of the full RevOps stack — CRM architecture, forecasting model, territory design, quota mechanics, and tooling evaluation - Strong analytical range: comfortable building a bottoms-up coverage model, explaining CAC payback to a CFO, and translating rep-level data into a board-ready narrative - Hands-on experience evaluating, piloting, or deploying agentic workflows or AI-assisted tooling in a live GTM environment — including the ability to assess feasibility, data readiness, and security requirements before committing to production - Deep HubSpot or Salesforce architecture experience, including data model and process enforcement design - Effective communication skills Desired skills / Bonus points: - Background in data, infrastructure, or integration software - Experience with MCP, Salesforce Agentforce, Clay, or similar agentic GTM infrastructure at production scale - Experience navigating a PE-backed or founder-owned growth inflection from $100M to $250M+ - Familiarity with partner channel economics and co-sell Rules of Engagement design - Experience building a RevOps function from solo operator to a team of 3–5 - A Bachelor’s degree in a related field, or equivalent combination of education and experience ABOUT SAFE SOFTWARE Safe Software transforms organizations with FME, the only All-Data Any-AI Enterprise Integration Platform connecting all your data, anywhere, at any velocity. With over 30 years of expertise and 25,000+ enterprise customers across 125+ countries, we simplify your data journey, wherever it leads. Founded in 1993, Safe is headquartered in Surrey, BC with over 300 team members and counting. We’re always looking for talented individuals with diverse backgrounds who are determined to learn and grow. Are you ready to join the team? OUR COMMITMENT TO DIVERSITY AND INCLUSION Safe Software is an equal opportunity employer and we truly believe that innovation and strength begin with diversity and inclusion. We welcome all candidates regardless of race, gender identity or expression, sexual orientation, age, ability, disability, national or ethnic origin, political belief, religion, or family status. Should you require accommodations during the recruitment process, please contact hr_dept@safe.com. NOTICE REGARDING USE OF AUTOMATED TOOLS IN HIRING At Safe Software, we use automated tools to help us process applications and identify qualified candidates. These tools may assist in screening resumes and summarizing interview content based on the information you provide. This helps our team review applications efficiently while ensuring every candidate is considered based on the requirements of the role. Please be assured that the final hiring decision is always made by a member of our team. For more information on how we protect your privacy, please see our policy https://www.safe.com/legal/#applicant-privacy-policy. If you have questions about this process, please contact us at hr_dept@safe.com.

Location: New York DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk. Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets. We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus. We are building a new systematic, mid-frequency trading business at DRW. The strategy combines diverse data, modern machine learning, and high-performance software systems to identify and trade opportunities at scale. This is an early-stage effort within an established trading firm: the team has the opportunity to design its technology and research platform from the ground up while benefiting from DRW's capital, data, compute infrastructure, market access, and institutional experience. We are a small, fast-moving team of quantitative researchers and developers. Engineers are not a support function—they are central to how we conduct research, put strategies into production, and build a lasting competitive advantage. About the Role: As a Quantitative Developer / Research Engineer, you will be an early member of the team with meaningful ownership of its systems, research tooling, and engineering practices. You will work closely with experienced researchers and trading-system engineers across the team and the firm, combining substantial autonomy with strong technical mentorship. You will work at the intersection of quantitative research and software engineering, turning research ideas into reliable systems that trade. The ideal candidate combines strong software engineering fundamentals with an interest in quantitative research, machine learning, and data-intensive systems. This role will require you being in the NY office 5 days per week. You will: Design and build the core research and trading platform, including data pipelines, backtesting and simulation frameworks, portfolio and execution tooling, and research APIs Work closely with quantitative researchers to implement studies, test hypotheses, and translate promising ideas into robust production systems Develop and productionize statistical and machine learning models, owning the workflow from feature generation and training through backtesting, deployment, and live monitoring Build reliable data infrastructure for large historical and real-time datasets, with an emphasis on point-in-time correctness, reproducibility, performance, and ease of use Improve the performance and scalability of computationally intensive research and production workloads Contribute to foundational architecture and engineering decisions, working with experienced trading-system engineers to establish the development practices, testing standards, and operational processes the team will use as it grows Take systems and strategies from prototype to production and remain accountable for their reliability once they are live Because the team is still early, the scope is broad and the feedback loop is short. You will have the opportunity to take on meaningful responsibility early, while learning from people with deep experience in quantitative research, trading-system architecture, and production trading. What You Bring: A bachelor's, master's, or PhD degree in computer science, computer engineering, or another technical field At least two years of experience developing production software, primarily in Python and/or C++, with the ability and willingness to work across languages when needed Strong computer science fundamentals and sound instincts in software design, debugging, testing, and performance analysis The ability to enter an unfamiliar system, develop a clear mental model of it, and identify practical ways to improve its reliability, simplicity, and performance Fluency in a UNIX/Linux environment and a working understanding of operating systems, concurrency, networking, and system performance A track record of scoping and delivering production systems in fast-moving or ambiguous environments High ownership, good judgment, and a bias toward action—you identify risks early, reduce unnecessary complexity, and take pride in building systems that others rely on Clear communication and a collaborative working style, particularly when working across research and engineering disciplines Experience in trading or finance is not required. We value strong engineering and problem-solving ability and will provide the domain-specific training needed to succeed. Nice to Have: Experience developing deep learning systems with PyTorch Experience with GPU computing, kernel development, distributed training, or performance optimization Hands-on experience building and operating machine learning or data pipelines in production Experience developing large-scale, concurrent, high-throughput, or performance-sensitive systems A strong foundation in mathematics, statistics, optimization, or machine learning Experience building tools and infrastructure for quantitative researchers, data scientists, or similarly technical users Why This Role: Build from an early stage — Help shape a new systematic trading business, with broad scope, short feedback loops, direct influence over how the team operates, and the opportunity to share in its success Autonomy with mentorship — Make meaningful technical decisions while learning from experienced researchers and trading-system engineers across the team and the firm Broad, end-to-end ownership — Take systems from research and development through deployment and live trading, working across software, data, machine learning, and financial markets AI-native engineering — Work in an environment where AI-assisted coding, testing and research are deeply embedded in the development workflow The annual base salary range for this position is $175,000 to $250,000 depending on the candidate’s experience, qualifications, and relevant skill set. The position is also eligible for an annual discretionary bonus. In addition, DRW offers a comprehensive suite of employee benefits including group medical, pharmacy, dental and vision insurance, 401k (with discretionary employer match), short and long-term disability, life and AD&D insurance, health savings accounts, and flexible spending accounts. For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice . California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice . [#LI-SK1]

Location: New York Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW Harvey’s products all depend on a shared AI foundation: the model layer and agent infrastructure that determine the quality of work our agents deliver. Legal is one of the hardest domains for AI: documents run to hundreds of pages, matters can span millions of files, and there is zero margin for error on accuracy. The AI Platform team builds the foundation that every product and agent team at Harvey builds upon. This team is early and there’s a lot to build: model routing, agent architecture, context management, evals. Your work here sets the ceiling for what Harvey’s AI can do. REPRESENTATIVE PROJECTS - Context Engineering & Agent Infrastructure. Build the platform-level systems for context management, session state, and memory that all of Harvey’s agents and products rely on. - Model Integration & Routing. Own the infrastructure that lets Harvey onboard new foundation models fast and route to the right one for every task - a capability every product team depends on. - Evaluation Infrastructure. Build the shared eval tooling and frameworks that let every team across Harvey measure and improve AI quality systematically. - Shared Abstractions. Create the SDKs, platform primitives, and developer tooling that make it dramatically easier for product teams to ship AI-powered features. WHAT YOU'LL DO - Design and build abstractions and platform-level systems that improve all of Harvey’s agentic products. - Own infrastructure for model integration, routing, and evaluation that helps Harvey choose and deploy the right foundation model for any given context. - Build evaluation frameworks and tooling that let every team across Harvey iterate on AI quality effectively. - Partner closely with product engineering teams, PMs, and design to launch cutting-edge AI products. - Evaluate, prototype, and integrate the latest advancements in AI and agentic systems as they emerge. WHAT YOU HAVE - 6+ years of experience building backend systems, with at least 1+ year focused on AI/ML engineering. Staff candidates will typically have 8+ years and a track record of technical leadership across teams. - Experience building and shipping multi-model or multi-provider AI systems in production. - Familiarity with context management, session state, or memory systems in AI or distributed systems. You’ve thought about what the model sees and why it matters. - A track record of building internal platforms, SDKs, or shared infrastructure that other engineering teams actually adopted - and an understanding of why developer experience matters as much as raw capability. - Strong judgment about abstractions. Opinionated about good design but pragmatic about shipping incrementally. - Excitement about agentic AI and the infrastructure challenges of making autonomous systems reliable when the stakes are real. - A bias toward full ownership: you navigate ambiguity well and don’t wait for a roadmap to start solving problems. - Bonus: experience building evaluation frameworks, working with agent/function-calling architectures, familiarity with legal or other high-stakes professional services domains, or time at early-stage or hyper-growth startups where the underlying technology changes regularly. COMPENSATION $193,400 - $290,000 USD DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES [HERE https://www.notion.so/harveyai/Harvey-Candidate-Privacy-Policies-319ac3fcdd7a803bb807d5094f249922]. #LI-AK1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: New York Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW Harvey’s products all depend on a shared AI foundation: the model layer and agent infrastructure that determine the quality of work our agents deliver. Legal is one of the hardest domains for AI: documents run to hundreds of pages, matters can span millions of files, and there is zero margin for error on accuracy. The AI Platform team builds the foundation that every product and agent team at Harvey builds upon. This team is early and there’s a lot to build: model routing, agent architecture, context management, evals. Your work here sets the ceiling for what Harvey’s AI can do. REPRESENTATIVE PROJECTS - Context Engineering & Agent Infrastructure. Build the platform-level systems for context management, session state, and memory that all of Harvey’s agents and products rely on. - Model Integration & Routing. Own the infrastructure that lets Harvey onboard new foundation models fast and route to the right one for every task - a capability every product team depends on. - Evaluation Infrastructure. Build the shared eval tooling and frameworks that let every team across Harvey measure and improve AI quality systematically. - Shared Abstractions. Create the SDKs, platform primitives, and developer tooling that make it dramatically easier for product teams to ship AI-powered features. WHAT YOU’LL DO - Design and build abstractions and platform-level systems that improve all of Harvey’s agentic products. - Own infrastructure for model integration, routing, and evaluation that helps Harvey choose and deploy the right foundation model for any given context. - Build evaluation frameworks and tooling that let every team across Harvey iterate on AI quality effectively. - Partner closely with product engineering teams, PMs, and design to launch cutting-edge AI products. - Evaluate, prototype, and integrate the latest advancements in AI and agentic systems as they emerge. WHAT YOU HAVE - 10+ years of experience building backend systems, with at least 1+ year focused on AI/ML engineering and a track record of technical leadership across teams. - Experience building and shipping multi-model or multi-provider AI systems in production. - Familiarity with context management, session state, or memory systems in AI or distributed systems. You’ve thought about what the model sees and why it matters. - A track record of building internal platforms, SDKs, or shared infrastructure that other engineering teams actually adopted - and an understanding of why developer experience matters as much as raw capability. - Strong judgment about abstractions. Opinionated about good design but pragmatic about shipping incrementally. - Excitement about agentic AI and the infrastructure challenges of making autonomous systems reliable when the stakes are real. - A bias toward full ownership: you navigate ambiguity well and don’t wait for a roadmap to start solving problems. - Bonus: experience building evaluation frameworks, working with agent/function-calling architectures, familiarity with legal or other high-stakes professional services domains, or time at early-stage or hyper-growth startups where the underlying technology changes regularly. COMPENSATION RANGE $231,000 - $340,000 USD DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES [HERE https://www.notion.so/harveyai/Harvey-Candidate-Privacy-Policies-319ac3fcdd7a803bb807d5094f249922]. #LI-AK1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: European Union Workplace: Remote About the Role At Playson, we’re all about crafting innovative, eye-catching designs for the gaming world. We’re on the lookout for a creative and skilled Graphic Artist to join our team, specifically for slot games. If you love creating art that combines both creative flair and technical precision, this role is for you.   Key Responsibilities - Design original logos, icons, and visual assets for slot games - Create promotional graphics for marketing campaigns across various platforms (social media, email, banners) - Refine and enhance existing promotional content to keep it fresh and engaging. - Collaborate closely with developers and content editors to ensure your designs come to life as intended - Deliver assets optimised for smooth integration with developers and animators. - Contribute to the design of game symbols, characters and promotional materials Requirements - 5+ years of experience as a Graphic Designer in the gaming or iGaming space - Strong base art skills in logo design, layout, typography, and colour theory and composition - Proficiency in Adobe Photoshop, or similar design tools - Ability to create designs from scratch, not just repurpose existing elements - Flexibility, proactivity, and a strong sense of initiative Nice to Have - Experience with animation tools like Spine - Familiarity with usability principles What We Offer - Benefit from a transparent and systematic quarterly bonus system - We offer a flexible work schedule to accommodate your needs - Choose to work remotely, providing greater flexibility and comfort - Enjoy unlimited paid vacation leave, including bank holidays - Take unlimited paid sick leave whenever necessary - Get reimbursement for professional development courses and training. We provide access to the latest tools and training for continuous growth   Recruitment Process - Portfolio review. Applications without a portfolio will not be considered for further steps - HR Interview - Take home task - Final interview By submitting your application, you acknowledge that your personal data will be processed in accordance with our Privacy Policy https://playson.com/privacy.

Location: Brussels; Rome; Zug; Porto; Istanbul; Eindhoven; Geneva; Milan; Amsterdam; Manama; Madrid; London; Berlin; Antwerp; Copenhagen; Vienna; Prague; Athens; Budapest; Paris; Frankfurt; Dublin; Warsaw; Sofia; Luxembourg; Remote; Zurich; Lisbon; Tallinn; London OR Brussels; Rotterdam; Krakow; Zagreb Workplace: Remote RUST ENGINEER - TRADING SYSTEMS ABOUT KEYROCK Since our beginnings in 2017, we've grown to be a leading change-maker in the digital asset space, renowned for our partnerships and innovation. Today, we rock with over 200 team members around the world. Our diverse team hails from 42 nationalities, with backgrounds ranging from DeFi natives to PhDs. Predominantly remote, we have hubs in London, Brussels, Singapore and Paris, and host regular online and offline hangouts to keep the crew tight. We are trading on more than 80 exchanges, and working with a wide array of asset issuers. As a well-established market maker, our distinctive expertise led us to expand rapidly. Today, our services span market making, options trading, high-frequency trading, OTC, and DeFi trading desks. But we’re more than a service provider. We’re an initiator. We're pioneers in adopting the Rust Development language for our algorithmic trading, and champions of its use in the industry. We support the growth of Web3 startups through our Accelerator Program. We upgrade ecosystems by injecting liquidity into promising DeFi, RWA, and NFT protocols. And we push the industry's progress with our research and governance initiatives. At Keyrock, we're not just envisioning the future of digital assets. We're actively building it. MISSION STATEMENT We are seeking a Senior Rust Engineer with deep trading systems experience and strong AWS knowledge to join our core Capital Markets division. Candidates with a passion for the Rust ecosystem and a proven track record designing, building, and operating mission-critical trading systems will be at a significant advantage. As part of the engineering team in Capital Markets, you will take ownership of high-impact trading infrastructure, set technical direction in your domain, and drive continuous improvement in system performance, reliability, and operability. You will join a highly-profitable, fast-paced division within Keyrock, where you will be expected to make a senior individual-contributor impact while collaborating with a global, fully-remote team. This role is open to candidates located in European time zones. JOB DESCRIPTION - Design, develop, and optimise low-latency, mission-critical trading systems - Own key trading stack components end-to-end — from architecture through to production operation - Collaborate closely with quants, traders, and engineers to deliver solutions that improve trading performance and resilience - Maintain and evolve trading infrastructure with a focus on performance, stability, observability, and operational excellence - Troubleshoot complex production issues across exchange connectivity, execution, and market data handling - Drive engineering standards through technical leadership, code reviews, and mentoring - Embrace agentic engineering principles: leverage AI-assisted workflows, drive automation of operational tasks, and help evolve the team's agentic tooling - Contribute to functional, component, and production-readiness testing for critical trading components BACKGROUND AND EXPERIENCE TECHNICAL SKILLS - Production-grade Rust experience building high-performance, concurrent systems; proficiency with Tokio is a strong advantage - Hands-on experience in a systematic trading environment (HFT, Market Making, Quantitative Trading, or similar), with solid understanding of execution, market data, and operational risk - Strong AWS and Linux expertise, including cloud infrastructure trade-offs for latency-sensitive workloads, shell scripting, debugging, and production troubleshooting - Proficiency in Python or other scripting languages for strategy development, automation, and operational tooling - Deep familiarity with trading system protocols (FIX, REST, WebSocket), exchange connectivity, and market data feeds - Solid grasp of low-latency networking: TCP/UDP, packet and latency path analysis, dedicated network infrastructure, and kernel bypass techniques (DPDK) - Familiarity with agentic engineering tools and concepts: LLMs, MCP APIs, AI-First IDEs (e.g. Cursor, Claude Code), harness engineering, and workflow automation - Ability to make sound architectural decisions, articulate trade-offs clearly, and guide implementation across complex systems SENIORITY & COMPETENCIES - Ownership & Reliability – Take full responsibility for your work. Deliver high-quality service, meet deadlines, and follow through on commitments. Anticipate and proactively address potential issues before they arise. - Initiative & Problem-Solving – Approach challenges with a problem-solving entrepreneurial mindset. Make sound, independent judgments and take the initiative to drive solutions rather than waiting for instructions. - Operational Diligence – Respond strategically to technical and operational challenges, ensuring robust and reliable trading infrastructure while instilling confidence in the team’s processes. - Technical Leadership – Influence system design, raise engineering standards, mentor other engineers, and help the team make pragmatic, high-quality technical decisions. - Curiosity & Growth Mindset – Continuously seek to improve your technical skills and knowledge. Stay ahead of industry trends and take the initiative to practice and explore new technologies that excite you. - Agentic Engineering – Embrace AI-assisted workflows and autonomous agents, pushing the boundaries of what engineering teams can achieve through intelligent automation. - Excellent Communication Skills with a team player mindset, collaborating within a fully remote global team. OUR RECRUITMENT PHILOSOPHY We value self-awareness and powerful communication skills in our recruitment process. We seek fiercely passionate people who understand themselves and their career goals. We're after those with the right skills and a conscious choice to join our field. The perfect fit? A senior engineer and crypto enthusiast who’s driven, collaborative, acts with ownership, raises the bar for others, and delivers solid, scalable outcomes. OUR OFFER - A competitive salary package - Autonomy in your time management thanks to flexible working hours and the opportunity to work remotely - The freedom to create your own entrepreneurial experience by being part of a team of people in search of excellence As an employer we are committed to building a positive and collaborative work environment. We welcome employees of all backgrounds, and hire, reward and promote entirely based on merit and performance. Due to the nature of our business and external requirements, we perform background checks on all potential employees, passing which is a prerequisite to join Keyrock. https://keyrock.com/careers/

Location: Chicago, New York City Our formula for success is to hire exceptional people, encourage their ideas and reward their results. As a Quantitative Research Intern you will have an opportunity to solve challenging problems arising in a trading environment while utilizing the latest statistical scientific algorithms, machine learning techniques and derivatives pricing theory.  The teams focus on non-latency sensitive investment opportunities and multi-asset class derivatives strategies across geographies. Our teams emphasize cutting-edge innovative scientific research and collaboration, allowing you to gain a deeper understanding of quantitative trading. You will find great minds with diverse backgrounds, who are passionate about cultivating new ideas and exploring ways to bring them to life. You will use the team’s custom research infrastructure for simulation, back-testing, and validation of the proposed models. While your days will have you engrossed with complex technology projects, your evenings will be spent exploring the city with organized social events to truly discover what it’s like to live and work in Chicago or New York City. How you will make an impact… Create practical solutions to problems presented in the trading environment on either a systematic equity trading desk or a fixed income options desk Conduct statistical analysis of market data, historical trends, and relationships across multiple asset classes Formulate and apply mathematical modeling, quantitative methods and machine learning techniques to identify and capture trading opportunities Work closely with traders and researchers to build and refine research infrastructure and tools What you bring to the team… Are pursuing a Bachelor’s, Master’s or PhD in a technical discipline with a focus on Statistics, Optimization, Machine Learning, Artificial Intelligence, Quantitative Finance or related fields graduating between December 2027 and August 2028 Proficiency in Python programming experience using the Python machine learning stack: numpy, pandas, scikit-learn, etc. Proficient programming skills with experience exploring large datasets Strong analytical and problem-solving skills including a solid foundation of statistics knowledge Working knowledge of probability theory, stochastic calculus and numerical algorithms such as finite differences, Monte Carlo simulation, etc. Some exposure to Natural Language Processing and/or High-Performance Computing is a plus Excellent written and verbal communication skills to report research results as well as methodologies Added bonus if you have been published in a top tier journal focusing on Natural Language Processing or High-Performance Computing What to expect during the internship Meaningful projects: Each project, advised by a trader, promotes a comprehensive learning experience and provides you with real-world work experience. Community: Throughout the summer, we host a variety of educational, social and team-building activities to explore the city, foster friendships and camaraderie. Housing: DRW provides fully furnished apartments located close to the office – making your morning commute as easy as possible. Mentorship: You’ll build a professional relationship with an experienced mentor in your field. Mentors and mentees meet to discuss goals, challenges and professional development and explore the city together at our mentor outings. Education: As the trading industry continually evolves, both in terms of new products and transaction methods, the future will present us with unique opportunities and challenges. You’ll complete an options course taught by an experienced trader and participate in a technology immersion course to better understand how technology and trading intersect. DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world.  We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk. Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets. We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it.  DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus. The annual base salary range for this position is $250,000 to $300,000 depending on the candidate’s experience, qualifications, and relevant skill set. For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice . California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice . #LI-DNI

Location: London Our formula for success is to hire exceptional people, encourage their ideas and reward their results. As a Quantitative Research Intern you will have an opportunity to solve challenging problems arising in a trading environment while utilizing the latest statistical scientific algorithms, machine learning techniques and derivatives pricing theory.  The teams focus on non-latency sensitive investment opportunities and multi-asset class derivatives strategies across geographies. Our teams emphasize cutting-edge innovative scientific research and collaboration, allowing you to gain a deeper understanding of quantitative trading. You will find great minds with diverse backgrounds, who are passionate about cultivating new ideas and exploring ways to bring them to life. You will use the team’s custom research infrastructure for simulation, back-testing, and validation of the proposed models. While your days will have you engrossed with complex technology projects, your evenings will be spent exploring the city with organised social events to truly discover what it’s like to live and work in London. How you will make an impact… Create practical solutions to problems presented in the trading environment on either a systematic equity trading desk or a fixed income options desk Conduct statistical analysis of market data, historical trends, and relationships across multiple asset classes Formulate and apply mathematical modeling, quantitative methods and machine learning techniques to identify and capture trading opportunities Work closely with traders and researchers to build and refine research infrastructure and tools What you bring to the team… Are pursuing a Bachelor’s, Master’s or PhD in a technical discipline with a focus on Statistics, Optimisation, Machine Learning, Artificial Intelligence, Quantitative Finance or related fields graduating between December 2027 and October 2028 Proficiency in Python programming experience using the Python machine learning stack: numpy, pandas, scikit-learn, etc. Proficient programming skills with experience exploring large datasets Strong analytical and problem-solving skills including a solid foundation of statistics knowledge Working knowledge of probability theory, stochastic calculus and numerical algorithms such as finite differences, Monte Carlo simulation, etc. Some exposure to Natural Language Processing and/or High-Performance Computing is a plus Excellent written and verbal communication skills to report research results as well as methodologies Added bonus if you have been published in a top tier journal focusing on Natural Language Processing or High-Performance Computing What to expect during the internship Meaningful projects: Each project, advised by a trader, promotes a comprehensive learning experience and provides you with real-world work experience. Community: Throughout the summer, we host a variety of educational, social and team-building activities to explore the city, foster friendships and camaraderie. Housing: DRW provides fully furnished apartments located close to the office – making your morning commute as easy as possible. Mentorship: You’ll build a professional relationship with an experienced mentor in your field. Mentors and mentees meet to discuss goals, challenges and professional development and explore the city together at our mentor outings. Education: As the trading industry continually evolves, both in terms of new products and transaction methods, the future will present us with unique opportunities and challenges. You’ll complete an options course taught by an experienced trader and participate in a technology immersion course to better understand how technology and trading intersect. DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world.  We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk. Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets. We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it.  DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus. For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice . California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice .

About the role We’re building a high-performance computer vision system that detects and recognizes objects on fast-moving trains and trucks. The application runs on Linux and is built with Rust/C++ and OpenCV. You’ll join a small team of engineers and ML specialists, working directly with the technical lead on software that powers logistics, automation, tracking, and access control for ports, railways, and industrial facilities. This is not an ML research role. Our ML team trains the models—you’ll focus on everything around them: recognition quality, algorithms, tooling, performance, and developer experience. What you’ll do Improve recognition quality through data analysis and application logic Build internal tools, scripts, and developer utilities Refactor and optimize existing systems for performance and stability Contribute to other engineering projects when needed (web, mobile, embedded, infrastructure) Depending on the project, you may also work with Go, Python, React/TypeScript, SQL/Postgres, and Linux tooling. We’re looking for someone with Strong Rust, C++, or equivalent systems programming skills Solid Linux, Git, and command-line experience Basic understanding of ML or data analysis Good written and spoken English We value engineers who are curious, take ownership, debug systematically, communicate well, and enjoy solving challenging real-world problems. Nice to have OpenCV, CUDA, deep learning, or custom ML model training Linux internals, performance optimization, or low-level debugging Docker, networking, distributed systems, or embedded development Strong personal or open-source projects Why Bravora? We’re a small, fully remote engineering team where you’ll have real ownership, direct impact, and plenty of room to grow. We actively modernize our stack, encourage AI-assisted development, and provide access to state-of-the-art LLM tools. Interested? Send us your CV, GitHub or portfolio (if available), your earliest start date, expected hourly rate, and a few sentences about why this role interests you.

Location: Singapore Our formula for success is to hire exceptional people, encourage their ideas and reward their results. As a Quantitative Research Intern you will have an opportunity to solve challenging problems arising in a trading environment while utilizing the latest statistical scientific algorithms, machine learning techniques and derivatives pricing theory.  The teams focus on non-latency sensitive investment opportunities and multi-asset class derivatives strategies across geographies. Our teams emphasize cutting-edge innovative scientific research and collaboration, allowing you to gain a deeper understanding of quantitative trading. You will find great minds with diverse backgrounds, who are passionate about cultivating new ideas and exploring ways to bring them to life. You will use the team’s custom research infrastructure for simulation, back-testing, and validation of the proposed models. While your days will have you engrossed with complex technology projects, your evenings will be spent exploring the city with organized social events to truly discover what it’s like to live and work in Singapore. How you will make an impact… Create practical solutions to problems presented in the trading environment on either a systematic equity trading desk or a fixed income options desk Conduct statistical analysis of market data, historical trends, and relationships across multiple asset classes Formulate and apply mathematical modeling, quantitative methods and machine learning techniques to identify and capture trading opportunities Work closely with traders and researchers to build and refine research infrastructure and tools What you bring to the team… Are pursuing a Bachelor's, Master’s or PhD in a technical discipline with a focus on Statistics, Optimization, Machine Learning, Artificial Intelligence, Quantitative Finance or related fields graduating between December 2027 and August 2028 Proficiency in Python programming experience using the Python machine learning stack: numpy, pandas, scikit-learn, etc. Proficient programming skills with experience exploring large datasets Strong analytical and problem-solving skills including a solid foundation of statistics knowledge Working knowledge of probability theory, stochastic calculus and numerical algorithms such as finite differences, Monte Carlo simulation, etc. Some exposure to Natural Language Processing and/or High-Performance Computing is a plus Excellent written and verbal communication skills to report research results as well as methodologies Added bonus if you have been published in a top tier journal focusing on Natural Language Processing or High-Performance Computing What to expect during the internship Meaningful projects: Each project, advised by a trader, promotes a comprehensive learning experience and provides you with real-world work experience. Community: Throughout the summer, we host a variety of educational, social and team-building activities to explore the city, foster friendships and camaraderie. Mentorship: You’ll build a professional relationship with an experienced mentor in your field. Mentors and mentees meet to discuss goals, challenges and professional development and explore the city together at our mentor outings. Education: As the trading industry continually evolves, both in terms of new products and transaction methods, the future will present us with unique opportunities and challenges. You’ll complete an options course taught by an experienced trader and participate in a technology immersion course to better understand how technology and trading intersect. DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world.  We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk. Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets. We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it.  DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus. For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice . California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice . #LI-LT2

Location: San Francisco, CA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's Safeguards team is seeking a Red Team Engineer to help ensure the safety of our deployed AI systems and products. In this role, you'll take an adversarial approach to uncover vulnerabilities across our product ecosystem before they can be exploited by malicious actors. Your work will span from technical infrastructure vulnerabilities on our products to emergent risks from advanced AI capabilities. While you'll bring best practices from traditional security approaches, the focus is on broader safety implications and novel abuse unique to advanced AI systems and associated products. You'll investigate the full spectrum of potential abuse — from coordinated account manipulation and payment fraud to novel exploitation of product features — and simulate sophisticated threat actors who chain multiple attack vectors to achieve their objectives. Key responsibilities Conduct comprehensive adversarial testing across Anthropic's product surfaces, developing creative attack scenarios that combine multiple exploitation techniques Research and implement novel testing approaches for emerging capabilities, including agent systems, tool use, and new interaction paradigms Design and execute "full kill chain" attacks that emulate real-world threat actors attempting to achieve specific malicious objectives Build and maintain systematic testing methodologies that evaluate every aspect of our systems Develop automated testing frameworks to enable continuous assessment at scale Collaborate with Product, Engineering, and Policy teams to translate findings into concrete improvements Help establish metrics for measuring detection effectiveness of novel abuse Minimum qualifications Experience in penetration testing, red teaming, or application security Experience in model jailbreaking and testing large-scale agentic workflows for non-obvious prompt injection vectors Strong technical skills in web application security, including hands-on expertise with security testing tools (e.g., Burp Suite, Metasploit, custom scripting frameworks) Experience building custom automation, including LLM-specific testing frameworks A track record of discovering novel attack vectors and chaining vulnerabilities in creative ways A public body of work such as CVEs, blog posts, or disclosed bug bounty reports Strong written and verbal communication skills, with the ability to explain technical concepts to varied audiences Preferred qualifications Experience with AI/ML security or adversarial machine learning Understanding of AI safety considerations beyond traditional security, including modern guardrails against jailbreaks Experience testing API security and rate-limiting systems Background in testing business logic vulnerabilities and authorization bypass techniques Background in anti-fraud, trust & safety, or abuse prevention systems Familiarity with distributed systems and infrastructure security Familiarity with abuse detection mechanisms and the ability to engineer novel bypasses Adaptability to understand and build engagements around emerging threats outside your direct area of expertise 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 — $405,000 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.