Вакансии

Location: US - San Francisco, United States Scopely is a global gaming company whose mission is to inspire play every day. Scopely Explore (a division of Scopely)’s mission is to inspire people to explore the world together. We build products that inspire exercise, exploration, and social in-person interaction. We are seeking a quantitatively adept and business-minded Senior Data Scientist, Marketing , to support our global marketing organization. You will operate at the intersection of data science , deep marketing domain expertise , and AI proficiency . In this role, you will help develop measurement frameworks, analytical models(e.g Marketing Mix Modeling), and scalable reporting solutions that inform user acquisition, brand investment, CRM efforts, and long-term player growth. You will also utilize AI-augmented workflows to accelerate the end-to-end data science lifecycle. This role is ideal for someone who combines strong technical skills with intellectual curiosity, a forward-thinking perspective on how AI will transform data science workflows, and a desire to understand how marketing investments translate into long-term player value. Responsibilities User Acquisition (UA) Contribute to and own the Marketing Mix Modeling (MMM) and other aggregate measurement approaches to evaluate cross-channel and upper-funnel impact (e.g. brand) where deterministic attribution is limited. Build and maintain robust ETL pipelines that ingest, transform, and validate UA data from ad networks, MMPs, and internal systems. Develop and refine predictive LTV (pLTV) models to enable faster optimization of UA campaigns based on early user signals. Explore, develop, and refine AI-based systems that are able to answer common data inquiries from stakeholders, as well as quickly diagnose data pipeline issues, etc. Support testing frameworks (e.g., geo experiments, holdouts, incrementality tests) to evaluate campaign effectiveness in privacy-constrained environments. Partner with Finance and UA teams to align on forecasting methodologies and investment strategies driven by pLTV and payback periods. Direct Marketing Build and maintain reliable datasets and ETL workflows that ingest and transform marketing data from ad platforms, CRM systems, social channels, and internal data sources. Support measurement and optimization of direct marketing channels including email, push notifications, in-app messaging, and other CRM/lifecycle campaigns. Partner with Marketing stakeholders to provide actionable insights on targeting, segmentation, messaging effectiveness, and channel strategy. Analytics Infrastructure & Workflow Efficiency Contribute to scalable dashboards and standardized reporting that enable self-serve marketing analytics. Identify opportunities to automate recurring reporting and insight generation for marketing stakeholders. Leverage modern AI/ML tools (e.g., automated modeling workflows, AI coding assistants) to improve analysis speed, code quality, and documentation and bridge the gap between technical AI-driven insights and business stakeholders to ensure output is accurate and aligned with complex business logic. Ensure data quality, documentation, and consistency across marketing data pipelines. Contribute to responsible and thoughtful adoption of AI-powered analytics tools to ensure maintainability and long-term knowledge sharing. Qualifications 4-8 years of experience in data science, marketing analytics, or a related quantitative role (gaming, mobile, or digital consumer experience preferred). Demonstrated proficiency in integrating AI agentic tools to accelerate end-to-end data science workflows. Proven experience in user acquisition measurement and attribution with exposure to Marketing Mix Modeling or other aggregate-level measurement frameworks. Understanding of full marketing funnel, including brand/awareness, social, UA, and direct marketing channels (e.g., email, push, CRM). Familiarity with core performance metrics such as CAC, ROAS, retention, engagement, and LTV. Experience working with marketing data from ad platforms, CRM systems, or aggregate reporting environments. Proficiency in SQL and experience using Python (or similar) for analysis. Experience working with large datasets in a cloud data warehouse (e.g., BigQuery) and building dashboards in BI tools (e.g., Looker). Strong analytical, communication, and stakeholder management skills in a cross-functional environment. Plus If… Experience supporting brand or upper-funnel marketing measurement. Familiarity with lifecycle marketing analytics, segmentation modeling, or propensity modeling. Experience building marketing data pipelines using Airflow, Composer, or similar orchestration tools. Experience working with global marketing teams across multiple regions. For candidates in CA, CO, NJ, NY, and WA, the annual salary range is provided below. In addition to base pay, employees may be eligible for equity, bonuses, and a comprehensive benefits package, including healthcare benefits, retirement benefits, pet insurance, paid holidays, paid Scopely free days, and unlimited paid time off. Base pay offered may vary depending on job-related knowledge, skills, and experience. CA, CO, NJ, NY, and WA Annual Salary Range $17,100 — $253,000 USD About Scopely Scopely is a leading video game and global interactive entertainment company, home to many of the world’s most beloved and enduring experiences, including two of the most successful mobile games of all-time “MONOPOLY GO!” and “Pokémon GO,” along with “Stumble Guys,” “Star Trek™ Fleet Command,” “MARVEL Strike Force,” “WWE Champions,” the Scrabble® franchise, “Yahtzee® With Buddies,” and many others. Across mobile, web, PC, and console, Scopely creates, develops, publishes, and live-operates one of the most diversified and award-winning portfolios in the games industry — bringing hundreds of millions of players together through a shared love of play. Founded in 2011, Scopely is powered by its exceptional team — including thousands of world-class gamemakers around the globe, a distinctive tenet-driven culture, and its proprietary technology platform, Playgami. Together, these strengths have fueled Scopely’s position as the #1 mobile games company in the U.S. and #2 globally, generating more than $10 billion in lifetime revenue. Whether building global sensations like “MONOPOLY GO!” from the ground up, or expanding through strategic acquisitions, including the FoxNext, GSN, and Scopely Explore games businesses — Scopely consistently delivers experiences players love today and return to for years to come. Recognized multiple times as one of the "100 Most Influential Companies in the World" by TIME magazine and one of Fast Company's "World's Most Innovative Companies" and “Best Workplaces for Innovators,” Scopely believes that video games can be a force for good — creating meaningful connections, vibrant communities, and making life better through play. Scopely has global operations and partners across four continents in more than a dozen countries worldwide. For more information, visit: https://www.scopely.com/ . Notice to Candidates: Scopely will never request payment or financial information during the application or hiring process. Please apply only through our official website and verify that all Talent Partner communications come from an email address ending in @ scopely.com . Should you have any questions or encounter any fraudulent requests/emails/websites, please immediately contact recruiting@scopely.com. Our job applicant privacy policies are available here: California Privacy Notice and EEA/UK Privacy Notice . Employment at Scopely is based solely on a person's merit and qualifications. Scopely does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law. We also consider qualified applicants with arrest or conviction records, consistent with applicable federal, state and local law.

Location: San Francisco 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 Some of the world's largest companies and their law firms use Harvey's AI capabilities to deliver world-class client services at unprecedented scale and efficiency. Harvey allows high-performing professionals to gain deep domain knowledge faster, understand the big picture, and tackle more complex challenges in less time. Our customers depend on us to deliver a secure, trustworthy, and compliant platform. Earning the trust of our customers is a business enabler and we value it more than anything else. In this role, you'll report to the Senior Compliance Manager and serve as a core executor on Harvey's certification and audit portfolio. You will be responsible for the hands-on compliance work that keeps our compliance programs healthy, maintaining control documentation, coordinating evidence collection, supporting third-party assessments, and working closely with Engineering and Security teams to ensure controls are implemented, tested, and continuously monitored. This is a role for a detail-oriented practitioner who takes pride in getting the compliance fundamentals exactly right. WHAT YOU'LL DO - Own and maintain core compliance documentation — including compliance packages and security assessment reports — keeping them accurate and audit-ready - Coordinate evidence collection across Engineering, Infrastructure, and Security for regulated assessments - Support third-party assessor engagements end-to-end: scheduling, preparing teams, triaging findings, and drafting responses - Conduct gap analyses against applicable frameworks and produce remediation tracking artifacts teams can act on directly - Manage continuous monitoring activities including control reviews, change notifications, and incident documentation to maintain compliance status - Partner with Engineering and Security to validate control implementations and translate regulatory language into testable technical configurations WHAT YOU HAVE - 3–5+ years in information security compliance with hands-on exposure to government and industry frameworks in a SaaS or cloud environment - Solid working knowledge of applicable government compliance frameworks; ability to map controls to technical implementations and evaluate evidence quality - Experience maintaining compliance documentation and tracking remediation activities; familiarity with compliance automation tooling - Exceptional attention to detail — able to manage multiple concurrent workstreams and keep documentation aligned with a dynamic cloud environment - Clear communicator: able to write crisp control implementation statements and explain compliance requirements to engineering audiences COMPENSATION $99,200 - $181,300 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-KV1 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: Remote - United States Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . The Onboarding team owns the first experience every user has after signing up for Reddit. Every new Redditor, on every platform, walks through a flow we design, and our job is to make those first interactions feel streamlined, delightful, and personal. We guide each user through the signals we need to tailor their experience, then use those signals to help them quickly discover the magic of Reddit: valuable content and communities that feel approachable, relevant, and immediately rewarding from their very first session. Few teams at Reddit sit closer to the company's growth than this one. The decisions we make in the first session compound for the entire lifetime of a user, and the difference between a flow that connects and one that doesn't is the difference between someone becoming a lifelong Redditor or never coming back. That kind of leverage is rare, and it's why this work is some of the most impactful product engineering happening at the company. We get there by combining polished product engineering, ML-powered personalization, and rigorous product experimentation, in close partnership with product, design, and data science cross functional partners. We move fast, we ship to learn, and we measure everything we ship. If you want your work to genuinely shape how millions of people experience Reddit for the first time, this is the team to do it on. What You'll Do 🏗️ Foster and Guide the Technical Strategy for Onboarding Define and accelerate the backend architecture for a newly onboarded user: the signal-collection systems that learn who a new Redditor is, the personalization pipelines that turn those signals into a tailored first feed, and the experimentation infrastructure that lets us iterate on the moments that decide whether someone becomes a lifelong user. You won't be following a roadmap; you'll shape how we build the systems that compound for every user's lifetime. 🤝Partner With the EM to Cultivate a Growth Engineering Mindset Growth teams operate differently than platform teams. We prioritize experimentation and iteration, which means sometimes we throw things away to move faster. You'll help the team internalize that operating model: what it means to build for learning, how to balance velocity with reliability, and how to stay rigorous when moving fast. 🤖Scale Impact Through Collaborative Engineering You'll build and maintain deep partnerships with the engineering teams whose surfaces directly shape a newly onboarded user's experience: Relevance, Feeds, Notifications, and beyond. Many of these collaborations will touch ML-powered systems that surface the right content to the right users. You'll be the bridge that ensures Onboarding has a technical representation for the team and a collaborative influence on their roadmaps. 📊Instrument, Measure, and Iterate Establish the instrumentation and experimentation foundations that let the team run rigorous A/B tests on growth levers. Use metrics to make the case for the bets worth taking, and deprioritize efforts that don't meet goals. 🔗Guide Cross-Functional Alignment Serve as the engineering voice in XFN partnerships with Product, Design, Data Science, and other Consumer platform teams. You'll align stakeholders on technical feasibility and tradeoffs, co-author roadmaps that bridge user experience goals with backend realities, and represent Onboarding Engineering in Reddit-wide technical forums. ⚡Raise the Bar on Engineering Excellence Advocate for reliability, scalability, and maintainability across a complex, high-scale distributed system. Lead design reviews, establish patterns that the broader organization can learn from, and ensure that moving fast never becomes an excuse for accruing crippling tech debt. You'll define what "great" looks like on this team. Who You Might Be At least 7 years of experience . You’ve steered cross-team projects that solved tangible business problems, rather than just hitting a 'ship' date. A strategic partner, not just a technologist . A systems thinker. You see how the code, the product, and the team dynamics all influence each other. You can plan for next year while still helping an engineer through a blocker today. You're a mentor who helps other engineers level up . You don't just assign tasks; you help the team work through complex problems more effectively. You're energized by the opportunity to build culture and craft on a team, not just software. You're deeply data-informed and logical. You ensure metrics are part of the design process, not just an afterthought in a dashboard. Your architectural directions are traceable back to product and business outcomes, and you're fluent in the language of experimentation, funnels, and retention. Comfortable with growth-team ambiguity . You navigate ambiguity with confidence when the goal is clear but the path is not. You're comfortable with growth-team speed—prototyping fast, moving on when the data doesn't back a bet, and keeping the team focused when the plan changes. A focus on clear, transparent communication. You can effectively distill complex technical trade-offs for any audience—whether you’re collaborating on a whiteboard with peers or presenting a roadmap review to executive stakeholders. Experience with ranking, recommendations, and personalization . You have a proven track record of working on ML-heavy products. You can design the backend architectures, retrieval systems, and inference pipelines required to scale them. You understand the nuances of candidate generation and scoring, and you can partner effectively with Machine Learning engineers to turn model outputs (such as Two-Tower models) into high-impact product features. Benefits: Comprehensive Healthcare Benefits and Income Replacement Programs 401k with Employer Match Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support Family Planning Support Gender-Affirming Care Mental Health & Coaching Benefits Flexible Vacation & Paid Volunteer Time Off Generous Paid Parental Leave Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/ . To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base salary range for this position is: $217,000 — $303,000 USD In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable.  We will not sell your personal information or disclose it to any third party for their marketing purposes.  We will delete any recording of your interview promptly after making a hiring decision.  For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors . Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve.  Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

Location: Remote Workplace: Remote We are building AI to simulate the world through merging art and science. We believe that world models are at the frontier of progress in artificial intelligence. Language models alone won’t solve the world’s hardest problems – robotics, disease, scientific discovery. Real progress requires models that experience the world and learn from their mistakes, the same way that humans do. And this kind of trial and error can be massively accelerated when done in simulation, rather than in the real world. World models offer the most clear path to general-purpose simulation, changing how stories are told, how scientific progress is made and how the next frontiers of humanity are reached. Our team consists of creative, open minded, caring and ambitious people who are determined to change the world. We aspire to continuously build impossible things and our ability to do so relies on building an incredible team. If you are driven to do the same, we'd love to hear from you. *Titles posted to our careers page are updated regularly to best advertise the role and expected seniority, but internally we have a flat titling system with two types of titles: one for individual contributors and one for people managers. ABOUT THE ROLE *Open to hiring remote across North America (west coast only) and the UK — we also have offices in San Francisco, Seattle, and London. Japan has been one of Runway’s fastest-growing markets, even without a major commercial presence – it's our third-largest market among both enterprise and self-serve customers, and the fastest-growing self-serve market in Asia. In addition to millions of individual users, we've seen 300% growth in enterprise customers in the past 12 months, and Japan has driven a third of our sales volume in Asia overall. As a result, we are looking for a Creative Workflow Architect to join our fast growing creative team. You’ll work closely with our Sales and Account Management teams to convey the value of Runway to Enterprise prospects and customers, specifically in the Japan market. As a user of Runway yourself and a content creator, you will handle pre and post-sale work, ensuring that customers are using Runway to it’s full potential, as well as any creative work in the product, inclusive of media content, presets, featured workflows, etc. You’ll also have a hand in any marketing sprints for model and feature releases. This role requires full professional bilingual fluency in Japanese and English. Things are always moving quickly at Runway. We need team members with an agile and dynamic mentality who are comfortable with change and always willing to go above and beyond to ensure a job is done optimally. WHAT YOU’LL DO - Creatively push the models available on Runway further using workflows and custom pipelines - Craft content and lead demonstrations to show Enterprise prospects and customers how to leverage and utilize Runway most strategically - Partner with our Sales and Creative teams to provide guidance and training to Enterprise prospects and customers. - Highlight and explain common use cases and workflows for Enterprise organizations - Serve as the day-to-day product expert for both pre and post sales conversations; help businesses understand the potential of utilizing Runway in their creative pipeline - Be a champion for our customers and work with our internal teams to translate customer feedback into product insights; liaise between customers and our internal teams in order to provide the best support and experience possible WHAT YOU’LL NEED - Full professional bilingual fluency in Japanese and English - Experience & expertise creating content from end to end - Experience working with Japanese enterprises a plus - Passion for experimentation when it comes to content creation and creative workflows- you care more about “how we get there” than “the destination” - Comfort working with creative tools in addition to Runway (Adobe, DaVinci Resolve etc), as well as an understanding of our technical and competitive landscape - You love sharing and presenting the things you’ve built - Ability to deliver complex information to customers in a clear and concise way - Ability to thrive in a constantly changing and growing environment - Excitement about AI and motivation to continuously learn more about this new and exciting space! Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package we provide. There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range. Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates. WORKING AT RUNWAY Great things come from great teams. https://www.youtube.com/watch?v=kwmj4ato2kw&ab_channel=Runway We’d love to hear from you. We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. So regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply. More about Runway - Universal World Simulator https://runwayml.com/world-simulator.html - GWM-1 https://runwayml.com/research/introducing-runway-gwm-1 - Gen-4.5 https://runwayml.com/research/introducing-runway-gen-4.5 - General World Models https://runwayml.com/research/introducing-general-world-models - Robotics SDK https://runwayml.com/research/introducing-runway-gwm-1#robotics-section - Conversational Real-time Agents https://runwayml.com/research/introducing-runway-gwm-1#avatars-section - Runway Studios https://runwayml.com/studios We're excited to be recognized as a best place to work: Crain's https://www.crainsnewyork.com/awards/best-places-work-2023 | InHerSight https://www.inhersight.com/companies/best/city/new-york-city-ny | BuiltIn NYC https://builtin.com/awards/new-york-city/2024/best-places-to-work | INC https://www.inc.com/best-workplaces/2024

Location: Warsaw Asana has an ambitious goal to bring reporting into the agentic era, and make it fast for every Asana product line to deliver great reporting experiences. We're starting Reporting Horizons, a new team in Warsaw, to accelerate our progress toward that goal. The charter spans both product and platform. You'll collaborate with the Reporting Foundations team in New York to deliver agentic dashboards and a reporting platform every Asana product line can adopt quickly. Together, the two teams co-own the stack from frontend components to the database. This role is based in our Warsaw office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements. What you'll achieve Build a new engineering team in Warsaw from the ground up, hiring talented engineers, and helping each engineer grow in their career. Guide architecture across the stack and coach engineers to make sound technical calls. Establish strong planning and delivery practices, so the team can ship agentic dashboards and platform capabilities quickly without sacrificing quality. Work cross-functionally with Product Management and Design, as well as the product teams that build on our platform, to define priorities and deliver intuitive capabilities. Champion accountability for key outcomes, linking your team's everyday work to Asana's broader strategic goals. Partner closely with the New York team to align on roadmap, ownership boundaries, and technical direction About you Experience leading engineering teams that build scalable web applications, with a deep understanding of software architecture, and a knack for coaching engineers through complex technical tradeoffs. Experience building strong delivery practices that help teams ship predictably. Curiosity about AI tools and emerging technologies, and excitement about building AI-native products. Proven track record of collaborating effectively with Product Managers and Designers to balance technical health with user velocity. Clear communicator and supportive leader who builds trust, gives direct feedback, and thrives in a collaborative environment. At Asana, we're committed to building teams that include a variety of backgrounds, perspectives, and skills, as this is critical to helping us achieve our mission. If you're interested in this role and don't meet every listed requirement, we still encourage you to apply What we’ll offer Generous, transparent and fair compensation system (base salary and RSUs) Contract of Employment (and the option of 50% tax deductible costs for author’s rights usage in respect of applicable roles) Health insurance with dental and travel coverage (Lux Med) Breakfast and lunch catering on the days that you work from the office Vacation allowance Career growth budget Home office setup budget Gym/Fitness card Fertility healthcare and family-forming support with Carrot Mental Health Support in Modern Health Group life insurance MacBooks with all necessary accessories For this role, the estimated base salary range is between 34 000 - 39 000 PLN gross per month (subject to all taxes and necessary deductions). The actual base salary will vary based on various factors, including market and individual qualifications objectively assessed during the interview process. The listed range above is a guideline, and the base salary range for this role may be modified. In addition to base salary, your compensation package may include additional components such as equity and sales incentive pay (for most sales roles), and benefits. If you're interviewing for this role, speak with your recruiter to learn more about the total compensation and benefits for this role. #LI-Hybrid . About us Asana is a leading platform for human + AI collaboration. Millions of teams around the world rely on Asana to achieve their most important goals, faster. Asana has been named to Fortune's Best Workplaces for 7+ years and recognized by Fast Company, Forbes, and Gartner for excellence in workplace culture and innovation. We offer an exceptional office-centric culture while adopting the best elements of hybrid models to ensure that every one of our global team members can work together effortlessly. With 13+ offices all over the world, we are always looking for individuals who care about building technology that drives positive change in the world and a culture where everyone feels that they belong. We believe in supporting people to do their best work and thrive. Our goal is to ensure that Asana upholds an environment where all people feel that they are respected and valued, whether they are applying for an open position or working at the company. We provide equal employment opportunities to all applicants without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by law. Join Asana’s Talent Network to stay up to date on job opportunities and life at Asana.

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role As Data Operations Manager, you'll build and scale data operations across research teams working on frontier AI capabilities. You'll partner with researchers to design and execute data strategies, manage vendor relationships, and own the entire data pipeline from requirements to production. This role requires operational excellence combined with technical depth to understand what makes high-quality training data, but your focus will be on strategy and execution. About the Impact The data operations you build will directly determine how well our models perform on critical capabilities—tool use accuracy, prompt injection robustness, long-horizon reasoning, and safety alignment. You'll work with world-class researchers advancing the frontier while building the operational infrastructure to scale these efforts. We're looking for someone who gets excited about the challenge of scaling quality across diverse research areas—someone who can understand nuanced technical requirements, build the right partnerships, and execute flawlessly. If you thrive at the intersection of operational excellence and cutting-edge AI research, we'd love to hear from you. Responsibilities: Own and execute data strategy for research teams advancing frontier AI capabilities across RLHF, safety, tool use, and agentic workflows Drive strategic vendor partnerships and build scalable frameworks for technical data collection at scale Design and implement operational systems that translate research requirements into high-quality data pipelines Build evaluation frameworks and quality standards that ensure data meets the bar for training state-of-the-art AI systems Lead cross-functional initiatives to optimize research velocity while maintaining rigorous quality standards Proactively identify risks, bottlenecks, and opportunities to improve efficiency and effectiveness across data operations Partner with senior research leaders to align data operations with model development roadmaps and strategic priorities You may be a good fit if you: Have 3+ years in operations, consulting, product management, or program management roles Have exceptional project management skills with ability to handle multiple complex projects simultaneously Have strong communication skills and can engage effectively with technical and non-technical stakeholders Are familiar with how LLMs work or have strong interest in understanding AI training methodologies Are highly organized and can navigate ambiguity effectively Have experience with data analysis tools (SQL, Python, Tableau, spreadsheets, or similar) Thrive in fast-paced research environments with shifting priorities Are passionate about AI safety and understand the critical importance of high-quality data Strong candidates may also have: Experience with data collection, labeling, or annotation operations for AI/ML systems Knowledge of RLHF, constitutional AI, or human-in-the-loop workflows Background working with research teams at AI companies or research-oriented organizations Experience managing vendor relationships or external contractors Consulting background with experience translating complex requirements into deliverables Track record of implementing process improvements or quality control systems at scale 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: $270,000 — $365,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: United Kingdom; Belgium; France; Philippines; Ireland; Georgia; Spain; Portugal; United States 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 Creative Strategist, you’ll be at the forefront of driving high-converting, performance-driven assets for our DTC supplements brand. Serving a primarily female demographic aged 35-65, you’ll leverage creative insights, competitive research, and user-centric design to shape our brand's digital presence. Working across multiple platforms & channels, you’ll develop compelling static ads, short-form videos, landing pages, and more. With a clear focus on customer acquisition, you'll play a crucial role in our brand’s strategy and aesthetic, ensuring our content resonates and drives revenue. WHAT YOU’LL DO BUILD, IMPROVE & MAINTAIN RESEARCH INFRASTRUCTURE - Creating and maintaining a repeatable research system across ads, customer reviews, VOC, competitors, forums, market trends, and customer pain points. - Organizing insights into queryable, structured systems that the team can use to generate creative ideas quickly. - Tagging and categorizing research by angle, pain point, persona, mechanism, product benefit, objection, funnel stage, and creative format. - Turning research inputs into creative opportunities, briefs, hooks, and testable hypotheses. - Improving the research infrastructure over time so it compounds instead of becoming a static swipe file. - Connecting research outputs directly to creative performance and winner generation. Establish, Improve & Maintain the Creative Testing Process - Building structured creative testing frameworks across hooks, angles, formats, personas, funnel stages, and SKUs. - Designing test matrices that allow the team to isolate variables and understand what is driving performance. - Creating a high-velocity testing cadence with consistent launches and systematic iteration. - Using performance data to identify winners, losers, fatigue, scaling potential, and next-best iterations. - Connecting creative tests to business metrics such as CAC, MER, LTV, spend level, and scaling constraints. - Scaling winning concepts across new formats, funnels, channels, geographies, and products. - Maintaining clear documentation of what has been tested, what has worked, and what should be tested next. CREATE, IMPROVE & MAINTAIN BRIEFS ACROSS SKUS TO ACHIEVE RUN RATE AND EFFICIENCY TARGETS - Creating structured creative briefs that clearly define the hook, angle, persona, pain point, product mechanism, visual direction, format, objective, and funnel stage. - Ensuring every brief is grounded in customer insight, research, performance data, and business priorities. - Building reusable briefing systems that allow winning concepts to be adapted across SKUs and formats. - Translating research and test learnings into repeatable creative frameworks. - Mapping creatives to ToFu, MoFu, and BoFu stages with clear strategic intent. - Creating briefs that help designers, copywriters, editors, and media buyers execute faster with fewer revisions. - Improving briefing quality over time based on performance outcomes. DESIGN, IMPROVE & MAINTAIN CREATIVE PRODUCTION WORKFLOWS - Designing clear workflows from research → brief → production → QA → launch → analysis → iteration. - Creating modular production systems that allow multiple formats, SKUs, and concepts to move in parallel. - Defining ownership, handoffs, SLAs, and quality standards across creative production. - Identifying and removing bottlenecks before they slow down output. - Improving production speed without sacrificing creative quality or strategic clarity. - Working with designers, copywriters, editors, media buyers, and operators to maintain a predictable launch cadence. - Continuously improving and automating the production system where possible. Leverage Pod and Cross-Functional Teams to Solve Performance and Production Bottlenecks - Working closely with media buyers, creative teams, growth, operations, product, and other stakeholders to diagnose performance and production issues. - Identifying bottlenecks early, before they affect scaling. - Coordinating fast resolution across teams when creative output, testing velocity, or performance is blocked. - Translating performance issues into clear creative or operational action steps. - Ensuring learnings are shared across teams and channels. - Helping scale creative output across multiple acquisition channels (e.g. Meta, Google, Tiktok, and other relevant channels. HOW YOU’LL SUCCEED - Consistently achieve high click-through rates (CTR) and engagement ratios, with content that encourages shares and positive interactions. - Improve key conversion metrics, including conversion rate (CVR), average order value (AOV), and customer lifetime value (LTV). Through thoughtful A/B testing and design enhancements, you’ll support sustained, efficient growth reflected in a favorable blended spend-to-ROAS ratio. - Deliver ad concepts that meet or exceed campaign standards, maintaining a high ad grade success rate across tests. WHAT YOU BRING - 5+ years in creative DTC advertising, A/B testing, with an emphasis on design over data. - Strong portfolio showcasing design and video editing capabilities that enhance user experience and conversions. - Expertise in creative research, visual storytelling, and a strategic approach to design that integrates with marketing goals. - Solid grasp of digital platforms and performance metrics, with a high standard for design aesthetics. - A passion for psychology, design, video, and content that translates into engaging, customer-centric creatives. - Actively engaged in industry trends, from DTC Twitter spaces to creative testing discussions, with a proactive approach to staying updated. 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: New York City; Remote (United States); San Francisco ABOUT THE ROLE We're looking for a Web Designer to own the design of Perplexity's marketing and landing pages. You'll be the person who makes sure every page we ship looks and feels like it belongs to one of the most exciting AI products in the world — clear, beautiful, and fast. You're a great designer first and foremost, with the visual taste to set the bar for our web presence. But you also understand how modern web pages get built and maintained. As page volume grows across consumer and enterprise, a big part of this role is making our landing page system more self-serve internally: you'll create and own the design side of our CMS so the rest of the company can spin up on-brand pages without a designer in the loop every time. You'll report into the Brand/Creative Studio team and work closely with Growth, Product Marketing, Brand, and our front-end engineers. WHAT YOU'LL DO - Own the design of marketing pages, landing pages, and growth surfaces end-to-end — you're the DRI for web craft - Create and own the CMS design system: the templates, components, and patterns that let teams build on-brand pages themselves - Partner with Growth and Product Marketing to translate business goals into compelling, high-converting page designs - Work with Brand to keep visual consistency across every web touchpoint - Collaborate directly with front-end engineers to ship pages quickly and at a high quality bar, including the ongoing migration off Framer - Bring a strong point of view on layout, typography, motion, and interaction design for the web - Raise the floor on self-serve page creation so the design team can focus on the highest-craft work WHAT WE'RE LOOKING FOR - A strong portfolio of web and marketing design work — landing pages, campaign pages, product marketing sites — that shows you're a designer first - Excellent visual design skills with a clear sense of brand, typography, and composition - Hands-on experience designing within and for CMS / templating systems, and an instinct for building scalable, self-serve page systems - Experience at the intersection of brand and growth — you understand conversion without sacrificing craft - Comfort working fast and iterating in real time alongside engineers - Fluency in Figma and a solid understanding of responsive design, accessibility, and web performance - A clear opinion on what makes a great web page, and the ability to articulate why NICE TO HAVE - Front-end development knowledge (HTML, CSS, and enough JS to prototype, tweak, and ship) - Background in brand or marketing design at a consumer tech company - Familiarity with SEO fundamentals and how design decisions affect discoverability - Motion design skills for web interactions and micro-animations

Location: New York City; Remote (United States); San Francisco ABOUT THE ROLE We're looking for a Web Designer to own the design of Perplexity's marketing and landing pages. You'll be the person who makes sure every page we ship looks and feels like it belongs to one of the most exciting AI products in the world — clear, beautiful, and fast. You're a great designer first and foremost, with the visual taste to set the bar for our web presence. But you also understand how modern web pages get built and maintained. As page volume grows across consumer and enterprise, a big part of this role is making our landing page system more self-serve internally: you'll create and own the design side of our CMS so the rest of the company can spin up on-brand pages without a designer in the loop every time. You'll report into the Brand/Creative Studio team and work closely with Growth, Product Marketing, Brand, and our front-end engineers. WHAT YOU'LL DO - Own the design of marketing pages, landing pages, and growth surfaces end-to-end — you're the DRI for web craft - Create and own the CMS design system: the templates, components, and patterns that let teams build on-brand pages themselves - Partner with Growth and Product Marketing to translate business goals into compelling, high-converting page designs - Work with Brand to keep visual consistency across every web touchpoint - Collaborate directly with front-end engineers to ship pages quickly and at a high quality bar, including the ongoing migration off Framer - Bring a strong point of view on layout, typography, motion, and interaction design for the web - Raise the floor on self-serve page creation so the design team can focus on the highest-craft work WHAT WE'RE LOOKING FOR - A strong portfolio of web and marketing design work — landing pages, campaign pages, product marketing sites — that shows you're a designer first - Excellent visual design skills with a clear sense of brand, typography, and composition - Hands-on experience designing within and for CMS / templating systems, and an instinct for building scalable, self-serve page systems - Experience at the intersection of brand and growth — you understand conversion without sacrificing craft - Comfort working fast and iterating in real time alongside engineers - Fluency in Figma and a solid understanding of responsive design, accessibility, and web performance - A clear opinion on what makes a great web page, and the ability to articulate why NICE TO HAVE - Front-end development knowledge (HTML, CSS, and enough JS to prototype, tweak, and ship) - Background in brand or marketing design at a consumer tech company - Familiarity with SEO fundamentals and how design decisions affect discoverability - Motion design skills for web interactions and micro-animations

Location: Kosovo; Germany; Austria; Poland; Portugal; Spain About Huzzle At Huzzle, we connect exceptional talent with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include fast-growing startups and established businesses in SaaS, MarTech, FinTech, and EdTech. Unlike traditional outsourcing, you’ll be placed directly with a client as a core member of their team—giving you real ownership, career progression, and long-term stability. Role Type: Full-time Engagement: Independent Contractor Job Summary We are seeking a high-energy, bilingual Sales Development Representative to fuel the growth of our European market. As the first point of contact for prospective clients, you will play a critical role in our sales engine by identifying opportunities and initiating high-level conversations with key decision-makers. This is an ideal role for a self-starter who thrives in a fast-paced environment and is eager to represent a team at the forefront of market innovation. Key Responsibilities Conduct outbound prospecting to identify and qualify new business opportunities within the DACH region. Manage a high volume of cold calling, personalized emailing, and social selling via LinkedIn. Master the communication of our value proposition to C-level executives and department heads. Schedule discovery calls and high-quality meetings for the Account Executive team. Maintain meticulous records of all lead interactions and pipeline activities within the CRM. Collaborate with marketing and sales leadership to refine outreach strategies and messaging. Requirements Native or professional fluency in both German and English (written and verbal). 2+ years of professional experience in a sales or business development role. Proven track record in B2B sales, specifically in navigating complex organizations. Exceptional communication skills with the ability to build rapport quickly over the phone. Strong organizational skills and the ability to manage a high-volume pipeline independently. Ability to work effectively in a target-driven, performance-based environment. Experience selling into the Tech, SaaS, or AI sectors. Familiarity with modern sales tools (e.g., Salesforce, HubSpot, Outreach, or LinkedIn Sales Navigator). Benefits 🌎 Fully remote role with flexible working hours 🚀 Work with high-growth international companies 📈 Clear career progression to Account Executive and beyond 🎯 Performance-based bonuses and incentives 🤝 Direct hire with global clients (not outsourced) 🧠 Ongoing training, mentorship, and sales development support

Location: 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. We're seeking an exceptional Research Scientist to join our Life Sciences team at Anthropic. Our team is building a world-class research group focused on making Claude a superhuman life sciences research assistant. This role sits at the intersection of machine learning, software engineering, and biology — you'll directly improve model capabilities on scientific tasks through post-training, evaluation design, and RL environment development. As a core member of our Life Sciences team, you'll work in a high-impact team that translates deep biological domain knowledge into model training objectives, benchmarks, and agentic workflows. You'll help establish Anthropic as a leader in AI-accelerated biology while shaping how frontier models reason about and execute computational biology tasks. This role offers a unique opportunity to shape how frontier AI models learn to do biology. You'll work alongside some of the world's best AI researchers while tackling problems that matter for human health and scientific understanding. If you're excited about turning your computational biology expertise into model capabilities, we want to hear from you. Key Responsibilities Build and ship agentic tools and integrations that let Claude execute real life science workflows — bioinformatics pipelines, database queries, analysis notebooks, literature review Design and build evaluation benchmarks that measure model capabilities on biology tasks — figure interpretation, bioinformatics, protocol reasoning, literature synthesis Work closely with product and design teams to scope, prototype, and ship features for life sciences users Partner with external biotech, pharma, and academic users to understand their workflows and turn feedback into product improvements Build and maintain the engineering infrastructure behind our biology product surface — tool scaffolding, data pipelines, eval harnesses Translate biological domain knowledge into product requirements and evaluation criteria that guide model improvement Minimum Qualifications Experience applying ML and software engineering to biological problems — computational biology, bioinformatics, protein ML, genomics, or similar Experience working in drug discovery or development at a biotech or pharma company, or conducted fundamental research in an academic setting — with an understanding of what real scientific workflows look like and where they break down Strong software engineering skills: comfortable building production-quality Python, working in large codebases, and owning infrastructure end-to-end Hands-on experience training or fine-tuning ML models (LLMs, protein language models, or other deep learning architectures) A track record of shipping computational tools or pipelines that biologists actually use Comfortable navigating ambiguity and defining problems in a rapidly evolving research environment Able to work independently while collaborating tightly with research, product, and domain-expert teams Results-oriented with a bias toward rapid iteration and measurable impact Passionate about using AI to accelerate scientific discovery while maintaining high ethical standards Preferred Qualifications 5+ years of experience applying ML and software engineering to biological problems — computational biology, bioinformatics, protein ML, genomics, or similar Ph.D. in computational biology, bioinformatics, bioengineering, CS, or a related quantitative field — or equivalent industry experience Experience with LLM post-training: RLHF, RL from verifiable rewards, SFT data curation, or eval-driven development Direct experience with therapeutic discovery pipelines — target identification, lead optimization, ADMET modeling, or clinical data analysis Familiarity with bioinformatics tooling and pipelines (sequence analysis, structure prediction, single-cell, variant calling, etc.) Experience building agentic systems or tool-use environments Published research in ML for biology, or open-source contributions to computational biology tools Fluency with biological databases (UniProt, PDB, Ensembl, NCBI) and the ability to reason about their schemas and failure modes 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: $300,000 — $320,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role The Computer Use team teaches Claude to see and operate computer interfaces, and builds the agent harness and end-user products that turn that capability into real tools. The team sits inside Anthropic's research organization and closes the loop between product and model. As a Product Engineer on this team, you'll own end-to-end delivery of our computer-use and browser-control product surfaces. You'll build across the full stack, from the user interface to the agent runtime to the backend services behind it. You'll work directly alongside researchers, with no layers between you and the model or the user. This is a dynamic role in which priorities evolve frequently. Success depends on a high tolerance for ambiguity, the adaptability to shift focus as needs change, and the agility and discernment to continuously prioritize the highest impact work. Key responsibilities Own end-to-end delivery of computer-use and browser-control product surfaces: scope, build, ship, measure, and iterate Diagnose and resolve reliability and robustness issues in the computer-use agent harness that block real-world usage Partner with computer-use researchers Partner with the Claude Cowork team on shared surfaces, integrations, and knowledge-worker workflows Instrument products and use usage data to drive prioritization and measure progress Translate fuzzy user pain points into concrete, shippable features for knowledge workers Minimum qualifications Experience building and shipping a product from zero to one with end-to-end ownership, as a founding or early engineer at a startup or with equivalent ownership inside a larger company Strong full-stack engineering skills, including production web frontend and backend development Hands-on experience building with LLM APIs, prompting, or agent frameworks A track record of shipping to external users and iterating based on their feedback Preferred qualifications Strong product design instincts and the ability to produce a clean, usable interface without a dedicated designer Experience with browser automation, desktop automation, or robotic process automation systems Experience building evals or quality harnesses for machine learning systems Comfort with lightweight data analysis, such as SQL, notebooks, and defining and tracking product metrics Experience designing agent loops, tool integrations, or guardrails for LLM-based systems Representative projects Own and resolve the top reliability and robustness issues on the computer-control and browser-control product surfaces, with measurable improvement in task success rate Take a net-new computer-use powered workflow from concept to external users, including instrumentation and a readout on usage 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: $300,000 — $320,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | New York City, NY 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 customers renew on a mix of committed and consumption contracts, and the number of renewals is growing faster than any team of people could keep pace with. We don't want to answer that by hiring hundreds of renewal managers. We want renewals to run as a system: Claude and agents do most of the work, from spotting risk to drafting the offer to closing a standard renewal in product, and people step in where judgment, negotiation or relationships matter. You'll design, build and run that system. You'll own the renewal outcome for the business globally and the product and technology that delivers it. You'll lead a small team of builders and the human layer, internal specialists and outsourced partners, that handles what agents can't yet. You'll work closely with Sales, Customer Success, Deal Desk, Finance, Billing and Product Engineering. This is a Claude-first role. You'll use Claude every day to do your own work, and the renewal function will be one of the clearest examples inside Anthropic of what AI-run operations look like. What you'll own in your first year The design of the renewal system: which work agents run end to end, which work goes to a person, and the handoff rules between them. A standard renewal that needs no person: a Claude-generated offer in product ahead of term end, accepted and provisioned automatically, with anything outside guidance routed to a seller with a recommended quote. The data the system runs on: contract, commit burndown and usage data clean enough that agents and people trust it, built with Billing and Finance. Early-warning signals for consumption risk and commitment shortfall, and what happens when one fires. The human layer: how internal specialists, outsourced partners and account teams work around the agents, and the measures they're held to. The next large renewal cycles, run with fewer manual steps per renewal than today. Weekly renewal and retention forecasts grounded in usage and contract data. Executive renewal conversations on the largest and most complex accounts, alongside account teams. You may be a good fit if you have Owned renewal, retention or post-sale outcomes at large scale, either running the function or leading the product or service that runs it for others. Led product or engineering teams and shipped software or agents that took over work people used to do. Run or designed a blended model of people, outsourced partners and software, and know where each one breaks. A working grasp of renewal economics: committed and consumption contracts, discount guidance, and the term, billing and CRM data behind them. Built things yourself recently. You can prototype with Claude, read the data and pressure-test an agent's output without waiting on someone else. Set direction with senior executives and held cross-functional teams to it without direct authority. Strong candidates may also have Usage-based pricing and commit burndown experience. Built health, churn or early-warning models that changed what teams did. Worked at a company whose product runs renewals, retention or quote-to-cash for its customers. Worked across regions, including marketplace or cloud-partner billing. Written or spoken publicly about agent-led customer operations. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $350,000 — $500,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: USA (Remote) Workplace: Remote Mysten Labs’ mission is to advance the internet through step-function improvements in what technology makes possible. We build foundational infrastructure and products that give people, businesses, and developers new ways to interact, transact, and create value. Our work spans on-chain finance and the emerging agent economy. Through Sui, Move, and our broader technology stack, we’re building the systems that make these experiences possible - from secure, scalable blockchain infrastructure to new ways for businesses and AI agents to interact. THE ROLE We’re hiring a Senior Dealmaker to shape and lead AI partnerships for Walrus, Mysten Labs’ decentralized storage network, across the ecosystem. As AI agents take on more complex work, they need infrastructure that helps them retain context, handle sensitive information, and maintain a trustworthy record of their actions. With Walrus as the foundation for decentralized storage and persistent memory, we’re building toward that future with a broader stack that includes confidential compute—supporting product reliability and compliance as agents operate in the real world. Your job is to determine where Walrus and these complementary capabilities can create the greatest value, build relationships with the right partners, and structure agreements that lead to meaningful integrations and adoption. You’ll focus on foundation model companies, AI platforms, data platforms, and adjacent infrastructure providers. Working closely with the Head of Partnerships and Walrus product and engineering leadership, you’ll help set partnership priorities and independently lead complex opportunities from initial thesis through implementation. This is a senior individual contributor role with substantial ownership, requiring strategic judgment, commercial creativity, and hands-on execution. WHAT YOU’LL DO - Shape our AI partnership strategy. Develop a clear perspective on where Walrus can become essential infrastructure for AI applications and agents. Identify the partners, use cases, and market developments that should guide our investment of time and resources. - Originate consequential partnerships. Build relationships with founders, executives, and technical decision-makers at foundation model companies, AI platforms, agent frameworks, data platforms, and adjacent infrastructure providers. Create opportunities before there is an established partnership motion. - Define the opportunity alongside the partner. Understand how partners build, what their customers need, and where our technology can solve a meaningful problem. Work with product and engineering leadership to shape joint offerings, integration proposals, and commercial models. - Structure and close complex deals. Lead negotiations involving technical integrations, joint product development, distribution, and commercial agreements. Navigate competing priorities and create structures that give both organizations a compelling reason to commit. - Deliver integrations and adoption. Own relationships beyond signing. Align teams on scope, resources, and milestones; resolve obstacles; and keep partnerships moving toward implementation, launch, and sustained usage. - Influence across the organization. Bring partner and market insights into product, engineering, marketing, and leadership discussions. Make clear recommendations, surface tradeoffs, and build alignment around opportunities that require investment across teams. - Establish a repeatable approach. Turn early wins into sharper partner selection criteria, stronger deal structures, and more effective execution. Raise the quality of partnership work through sound judgment, shared learning, and mentorship. WHAT YOU’LL HAVE - Substantial experience in strategic partnerships or business development, typically 10–15+ years, with demonstrated ownership of strategically significant relationships in AI, data infrastructure, or developer platforms. - Deep engagement in the AI ecosystem, including strong relationships with founders, executives, and product and technical leaders at relevant companies. - A proven record of independently originating, structuring, negotiating, and closing complex partnerships that produced meaningful integrations, joint offerings, distribution, or adoption. - The judgment to identify which opportunities deserve investment, articulate a compelling partnership thesis, and walk away when the strategic or commercial fit is weak. - Strong product instincts and technical fluency. You can engage engineers on architectures and agentic workflows, uncover a partner’s underlying needs, and connect technical capabilities to business value. - Credibility in the startup community and firsthand experience building with limited structure, resources, or established processes. You can point to opportunities you personally created and brought to market. - The ability to think at enterprise scale while executing with startup urgency. You’re comfortable navigating executive stakeholders and handling the details needed to get an integration live. - A track record of influencing senior stakeholders and aligning product, engineering, legal, and commercial teams without relying on formal authority. - Creative commercial judgment, a bias for action, and accountability for outcomes through implementation and adoption. - Curiosity about decentralized infrastructure and the ability to become fluent quickly. Prior Web3 experience is welcome; substantial AI ecosystem experience is essential. - High ethical standards, direct communication, and comfort adapting as the product and market evolve. - Ability to travel approximately 20% of the time, including internationally. Location: San Francisco Bay Area preferred. We may consider exceptional candidates elsewhere who are deeply embedded in the AI ecosystem. Employment is contingent upon the successful completion of a background check, which may include verification of employment history, education credentials, criminal history, and other relevant information. Regarding the recent rash of technology job scams: Be aware that emails from genuine Mysten Labs group recruiters will always come from the @mystenlabs.com http://mystenlabs.com domain or related subdomains (e.g., mystenlabs.com/careers http://mystenlabs.com/careers). Remember: you can always verify positions on our job boards at www.mystenlabs.com/careers http://www.mystenlabs.com/careers. To support an efficient and fair hiring process, we may use technology-assisted tools, including artificial intelligence (AI), to help identify and evaluate candidates. All hiring decisions are ultimately made by human reviewers. Our team is remote first and we are hiring across the world. Here at Mysten Labs, you’ll be joining a world-class team with tremendous growth potential as we bring the next billion users to web3. We raised a $300M Series B round from top Silicon Valley led venture funds like Jump Crypto, Andreessen Horowitz (a16z), Binance Labs, Redpoint, Lightspeed, Coinbase Ventures, Electric Capital, Standard Crypto, NFX, Slow Ventures, Scribble Ventures, Samsung Next, Lux Capital, among other investment firms and strategic partners. Come join us and build the future of web3!

Location: New York City, NY; San Francisco, CA; Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As an early member of our Safeguards Data Science and Analytics team, you will play an instrumental role in our company’s mission of building safe and beneficial artificial intelligence by building and scaling a data driven culture from the ground up. In this unique company, technology, and moment in history, your work will be critical to informing our product and commercial strategy as we deploy safe, frontier AI at scale to the world. You will work closely with product, engineering, policy & enforcement to define and measure key company success metrics, analyze user behavior to identify new enforcement opportunities and build a culture of developing and testing hypotheses through experimentation. You’ve worked in cultures of excellence in the past, and are eager to apply that experience to building robust and scalable systems and processes as our company goes through a phase of rapid growth. Key responsibilities Deep dive into user behavior data to provide insights on safety concerns Define core metrics that measure the team's success. Set goals, build forecasts, monitor performance, and develop actionable reporting Identify and size opportunities to improve the product, influencing product roadmap through your insights and recommendations Develop hypotheses on product changes, design controlled experiments, analyze the results, and make recommendations based on impact to key metrics Build a data driven culture from the ground up by establishing foundational data best practices and making data more accessible across the company Minimum qualifications Expertise in Python, SQL, and data visualization tools. A bias for action and urgency, not letting perfect be the enemy of the effective. A strong disposition to thrive in ambiguity, taking initiative to create clarity and forward progress. A deep curiosity and energy for pulling the thread on hard questions. Experience in turning open questions and data into concise and insightful analysis. Highly effective written communication and presentation skills. A passion for the company's mission of building helpful, honest, and harmless AI. Preferred qualifications 8+ years of experience in data science or analytics roles, preferably in an infrastructure or operations context. 3+ years of experience deeply embedding in Product teams. Experience working on safety, anti-abuse, integrity shaped problems. Deadline to apply: None. Applications will be reviewed on a rolling basis. 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: $285,000 — $380,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Remote - EMEA Workplace: Remote ABOUT US Constructor is the next-generation platform for search and discovery in ecommerce, built to explicitly optimize for metrics like revenue, conversion rate, and profit. Our search engine is entirely invented in-house utilizing transformers and generative LLMs, and we use its core and personalization capabilities to power everything from search itself to recommendations to shopping agents. Engineering is by far our largest department, and we’ve built our proprietary engine to be the best on the market, having never lost an A/B test to a competitive technology. We’re passionate about maintaining this and work on the bleeding edge of AI to do so. Out of necessity, our engine is built for extreme scale and powers over 1 billion queries every day across 150 languages and roughly 100 countries. It is used by some of the biggest ecommerce companies in the world like Sephora, Under Armour, and Petco. We’re a passionate team who love solving problems and want to make our customers’ and coworkers’ lives better. We value empathy, openness, curiosity, continuous improvement, and are excited by metrics that matter. We believe that empowering everyone in a company to do what they do best can lead to great things. Constructor is a U.S. based company that has been in the market since 2019. It was founded by Eli Finkelshteyn and Dan McCormick who still lead the company today. ABOUT YOU You're a product designer who owns problems, not screens. You're comfortable with ambiguity, can partner with PMs to shape direction, and know how to translate research insights into production-ready interfaces, working closely with engineers. You ship work that matters. THE TEAM Our AI Agent Tools team is building a new category of e-commerce experience: intelligent agents that guide shoppers, learn from merchandiser expertise, and drive real business outcomes. This is one of the most consequential design problems in retail right now, and it's wide open. REQUIREMENTS The Role You'll be designing the future of product discovery: the moment a shopper goes from intent to purchase, reimagined through AI. - You'll define what agentic shopping looks like — Not just chatbots bolted onto search, but genuinely new interaction patterns where AI understands what a shopper wants and helps them get there. There's no established playbook here. The patterns you set will shape how the rest of the industry approaches it. - You'll shape how merchandisers control it — You will collaborate with Agent Orchestrators—professionals blending data analysis, design, and shopper psychology—to design the dashboard tools that allow them to configure, train, and optimize new shopping journeys without engineering support. - You'll prove it works in the real world — From running UI experiments on live retailer sites to validating new shopping experiences with actual shopper data, your designs ship and get measured. What You'll Own - Research & validation — Conducting shopper research and running experiments alongside product and data teams to validate hypotheses with real input. - Interaction design for agentic experiences — Mapping novel user flows where AI/LLMs drive the shopping journey, for both shoppers and the merchandisers who orchestrate them. - Visual strategy — Defining a bold design direction that represents what product discovery looks like in 2027. - High-fidelity delivery — Producing final mockups and assets across key surfaces: homepage, search, PDP, filtering, guided shopping, and agent configuration. - UX patterns — Ensuring designs scale within Constructor's evolving design system and component library. What We Value Beyond Craft Beyond being a thoughtful designer, user advocate, and strong collaborator, here are a few things we really value: - A goal-oriented, iterative mindset — You focus on solving high-impact problems and are comfortable learning, improving, and shipping quickly. - Practical experience with research — You’ve led user interviews, usability tests, and data analysis. - Experience designing for unfamiliar problems — You’ve worked on products where you had to understand complex workflows outside your own experience—especially in B2B contexts. - Systems thinking — You spot patterns, define systems, and design scalable, reusable solutions. BENEFITS - 🧠 Work with smart and empathetic people who will help you grow and make a meaningful impact. - 🎉 Regular team offsite events to connect and collaborate. - 🌎 Fully remote team - choose where you live. - 🏝️ Unlimited vacation time - we strongly encourage all of our employees take at least 3 weeks per year. - 🛋️ Work from home stipend! We want you to have the resources you need to set up your home office. - 💻 Apple laptops provided for new employees. - 🧑‍🎓 Training and development budget for every employee, refreshed each year. - 👪 Maternity & Paternity leave for qualified employees. - 📈 Stock options - offered in addition to the base salary Diversity, Equity, and Inclusion at Constructor At Constructor.io http://Constructor.io we are committed to cultivating a work environment that is diverse, equitable, and inclusive. As an equal opportunity employer, we welcome individuals of all backgrounds and provide equal opportunities to all applicants regardless of their education, diversity of opinion, race, color, religion, gender, gender expression, sexual orientation, national origin, genetics, disability, age, veteran status or affiliation in any other protected group. Studies have shown that women and people of color may be less likely to apply for jobs unless they meet every one of the qualifications listed. Our primary interest is in finding the best candidate for the job. We encourage you to apply even if you don’t meet all of our listed qualifications. How we handle your data. By submitting this application, you acknowledge that Constructor will collect and process the personal data you provide for the purpose of evaluating your candidacy for this role. If you are not selected, we will retain your data for a limited period as described in our Recruitment Privacy Notice https://constructor.com/recruitment-privacy-notice. After that period your data will be deleted or anonymized.

Location: New York or Remote (US) Workplace: Remote ABOUT INJECTIVE LABS Injective Labs is trailblazing a new dawn for Web3 enabled finance. We are the core contributors to Injective, one of the fastest growing blockchains in the industry. Injective provides an interoperable smart contracts platform that is optimized for building decentralized finance applications. Interoperability is at the core of Injective, which is natively integrated with chains such as Ethereum, Cosmos and Solana. Developers can rapidly launch premier financial applications suited for mass adoption using Injective’s infrastructure and specialized DeFi primitives such as the world’s first fully on-chain order book. Our team has decades of experience spearheading the largest financial institutions and tech organizations. Injective is incubated by Binance and is backed by leading firms such as Jump Crypto, Pantera and Mark Cuban. ABOUT THE ROLE Full-time Position – Hybrid or Remote – Ideally NY. We’re looking for a Senior Technical Product Manager to help shape and scale products across the Injective ecosystem. You will work closely with engineering, design, and leadership teams across multiple initiatives, helping drive product direction, prioritization, and execution from ideation through launch and iteration. We’re open to different backgrounds for this role. You may come from a strong crypto-native background with deep understanding of exchanges, DeFi, or financial systems, or from a leading technology company with experience building and scaling high-quality technical products. What matters most is strong product thinking, execution, communication, and genuine curiosity about the future of crypto and finance. WHO IS THIS ROLE FOR? This role is for someone who thrives in fast-paced environments, has strong product fundamentals, likes working with high ownership, and can operate effectively in highly technical environments. Most importantly, this role is for someone genuinely passionate about DeFi. Someone who can quickly understand context, challenge the status quo, and constantly push the bar to deliver better products and user experiences. If you consider yourself someone who knows how to take ownership, lead initiatives end-to-end, and at the same time roll up your sleeves and operate as an IC, this role is for you. If you’re looking for highly structured processes, clearly defined playbooks, or a comfort-zone environment, this role is probably not for you. We move fast, priorities evolve quickly, and we value people who are proactive, adaptable, and drive solutions forward. RESPONSIBILITIES: - Drive product development across multiple initiatives, from new products and feature ideation through launch, iteration, growth, and continuous improvement - Contribute to product strategy and roadmap planning aligned with company objectives - Partner closely with engineering, design, and leadership teams to define product direction and priorities - Own prioritization decisions using user feedback, product intuition, data, and business context - Translate complex technical concepts and user needs into clear product requirements and execution plans - Maintain a strong product quality bar across user experience, functionality, and execution - Define and monitor key product metrics and use insights to improve decision-making - Work cross-functionally with teams across engineering, growth, BD, operations, and support - Operate effectively in a fast-paced environment with evolving priorities and high ownership expectations   WHO YOU ARE: - 7+ years of experience in Product Management, preferably working on technical or infrastructure-heavy products - Strong product fundamentals and proven product judgment - Strong technical understanding and experience working closely with highly technical teams, with a solid understanding of finance - High ownership mentality with the ability to independently drive initiatives forward - Comfortable operating in ambiguity and fast-moving startup environments - Strong communication and cross-functional collaboration skills - User-focused with strong attention to product quality and execution standards - Technical background, engineering experience, or a technical degree is a strong plus - Genuine interest in crypto, financial infrastructure, and emerging technologies - Experience in crypto, exchanges, DeFi, fintech, trading systems, or financial products is a strong plus - Experience at high-performing technology companies is also highly valued - Fluent in English - Ideally based in New York or open to relocating WHY WORK WITH US? - Competitive salary and INJ token award - Unlimited PTO - Equipment - Home Office Stipend - Opportunity to work on cutting-edge blockchain technology in the finance industry. - Collaborative team culture with opportunities for professional growth and development. - Global team meet ups. As an equal opportunity employer we don’t tolerate discrimination or harassment of any kind. Whether that’s based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status or any other protected characteristic as outlined by federal, state or local laws. We will only contact candidates using emails from the @injectivelabs.org http://injectivelabs.org domain. If you are approached by any other account or domain regarding this position, it was not sent by us. Please stay cautious and report any suspicious communication.

Location: San Francisco; 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 Some of the world's largest companies and their law firms use Harvey's AI capabilities to deliver world-class client services at unprecedented scale and efficiency. Our customers depend on us to deliver a secure, trustworthy, and compliant platform and earning that trust is a business enabler we value above all else. In this role, you'll report to the Head of Trust and serve as the engineering backbone of Harvey's compliance and assurance programs. You'll build and own the data infrastructure, automation tooling, and AI-powered workflows that allow our Trust team to scale audit readiness, continuous monitoring, and risk reporting without scaling headcount. This means selecting best-in-class compliance automation platforms, building our own compliance data layer, and developing AI-powered workflows to automate evidence collection, control testing, and assurance reporting. WHAT YOU'LL DO - Own the implementation and optimization of Harvey's compliance automation tooling to automate workflows across compliance programs - Design and build a compliance data layer in Snowflake — ingesting signals from infrastructure, security tools, and SaaS platforms to create a real-time view of control health and audit readiness - Develop AI agents and automated pipelines for evidence collection, control testing, and continuous monitoring at scale - Partner with Engineering and Security to map technical implementations to compliance controls and maintain a living, accurate control inventory - Build reporting layers that translate compliance signals into clear narratives on risk posture and certification status for executive and cross-functional audiences WHAT YOU HAVE - 6+ years in software, data, or security engineering with exposure to compliance automation or trust and assurance programs - Hands-on experience building data pipelines on Snowflake, BigQuery, or comparable platforms; strong SQL and Python - Experience implementing or administering compliance automation platforms - Working knowledge of at least one compliance framework — enough to understand control requirements and map them to technical implementations - Experience building AI-powered workflows or agents using LLMs NICE TO HAVE - Experience at a high-growth SaaS company building or scaling a Trust or compliance engineering function from the ground up - Familiarity with cloud infrastructure (AWS, GCP, Azure) and how infrastructure-as-code tools connect to compliance evidence - Prior involvement in government compliance programs COMPENSATION $220,000 - $330,000 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-KV1 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