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Location: Madrid Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW Harvey’s Legal Engineers are skilled lawyers from top-tier law firms who apply their legal experience to ensure that current and prospective customers understand how Harvey’s solutions enhance specific day-to-day workflows, working alongside Harvey’s Account Executives to support all aspects of our sales strategy. Legal Engineers build consultative relationships with law firm partners and associates and in-house attorneys at private equity firms and Fortune 500 companies, becoming trusted advisors on how Harvey’s AI solutions can make them more effective. Similar to the way Solutions Architects secure the “technical win” in the sales process, Legal Engineers secure the “legal win” by performing in-depth customer discovery and education on Harvey’s solutions through targeted meetings and demos that resonate with the customer’s day-to-day workflows specific to their legal practice area. Legal Engineers utilize their experience practicing law and their legal mindset to ask thoughtful questions to understand the needs of law firm and in-house attorneys, develop credibility, and then partner with Account Executives to educate them on Harvey’s value via large and small group sessions as well as one-to-one conversations. WHAT YOU'LL DO - Engage with lawyers at existing and prospective customers to understand and address their workflow challenges, and then explain and demonstrate the value of Harvey’s AI solutions to address them. - Establish yourself as a credible expert in solving customers’ specific legal problems (e.g. researching public and private databases for certain types of information, drafting and analyzing contractual provisions and whole documents, analyzing briefs and filings, corporate governance, conducting due diligence). - Lead product demonstrations tailored to the context of various law firm practice groups and in-house legal teams, asking questions to validate how Harvey can add value and then showcasing Harvey’s features and benefits relevant to each prospective client’s potential use cases. - Partner with the marketing team to develop content that will resonate with lawyers, tailored to the unique needs of their practice areas and client types. - Act as the “Voice of the Customer,” using your legal perspective to help the broader sales team to develop and implement more effective strategies and synthesize customer feedback for the product team through a legal lens. - Tailor the introduction of new solutions to specific customer needs. - Further the market perception of Harvey as uniquely credible, substantive, and helpful in applying its AI solutions to make lawyers better at their jobs. - Conduct research and analysis on customers and competitors. - Travel may be required from time to time, including visits to customer office locations and company offices. WHAT YOU HAVE - Ideal candidate will be qualified to practice law in Spain. - At least 3 years of experience practicing law at a top-tier law firm in Spain. - Executive engagement skills and presence, with an ability to establish strong relationships with key decision makers and build credibility at all levels - Outstanding presentation skills to both legal and executive audiences, whether impromptu on a whiteboard or using presentations and demos. - Strong understanding of legal processes and challenges faced by legal professionals. - Curiosity about AI’s potential to transform the legal industry. - Sales or customer-facing experience, including law firm business development and/or secondment, is a plus, as is experience directly managing law firm client matters and client relationships. 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-RC1 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

Workplace: remote Location : San Francisco Bay Area, CA, USA Work Model: Hybrid (2–3 days per week onsite) What we expect : Pharma/Biotech R&D application experience Strong Python development experience in scientific computing or data-intensive applications Hands-on Scientific Computing and HPC experience, including Slurm, shared filesystems, and batch processing Strong Linux, shell scripting, scientific package and environment management skills Experience developing and troubleshooting scientific data processing and analysis pipelines AWS Cloud experience and Docker REST APIs, microservices, and Python backend frameworks (Django/FastAPI or similar) SQL and relational databases Experience with AI-assisted software development tools Strong communication skills and ability to work directly with scientists to understand scientific workflows and resolve technical issues Nice to have : Bioinformatics or computational biology experience GPU workloads and scientific workload optimization Spark and distributed data processing OpenEye/FastROCS or other scientific computing toolkits We offer : Competitive compensation Remote or office work Flexible working hours Continuous education, mentoring, and professional development programs A team with excellent tech expertise

Workplace: remote Location : San Francisco Bay Area, CA, USA Work Model: Hybrid (2–3 days per week onsite) What we expect : Strong TypeScript/JavaScript and Angular or React experience Java/Spring Boot backend development experience REST APIs, microservices, and third-party integrations SQL and relational databases AWS Cloud experience Experience maintaining and enhancing data-intensive web applications, including scientific or analytical visualizations Strong production troubleshooting and debugging skills Experience with AI-assisted software development tools Strong communication skills and ability to work directly with scientists to understand workflows and resolve issues Availability to work in the Pacific Time Zone Nice to have : Vue.js, D3.js Spotfire or other scientific visualization platforms Pharma/Biotech R&D or scientific application experience We offer : Competitive compensation Remote or office work Flexible working hours Continuous education, mentoring, and professional development programs A team with excellent tech expertise

Workplace: remote Location : San Francisco Bay Area, CA, USA Work Model: Hybrid (2–3 days per week onsite) What we expect : Strong Python development experience, including backend services and data processing pipelines REST APIs and microservices (Django/FastAPI or similar) AWS Cloud experience, including application deployment and troubleshooting Terraform / Infrastructure as Code Docker, Kubernetes, and GitLab CI/CD pipelines Linux, shell scripting, and production troubleshooting SQL and relational databases Experience with AI-assisted software development tools Understanding of scientific/data processing workflows and HPC concepts Strong communication skills and ability to work directly with scientists to understand workflows and resolve technical issues Nice to have : Hands-on Slurm, GPU workloads, and HPC administration Bioinformatics or scientific computing experience in Pharma/Biotech MongoDB, Spark, or other data technologies Scientific data processing pipelines We offer : Competitive compensation Remote or office work Flexible working hours Continuous education, mentoring, and professional development programs A team with excellent tech expertise

Location: Berlin, Germany; London, United Kingdom Workplace: onsite ABOUT YOU We are looking for a Business Operations Manager, Experiential Marketing who is trustworthy, self-driven, organized, and accountable to join our Global Experiential Marketing team. The ideal candidate thrives in a fast-paced, highly collaborative, cross-functional and multicultural environment and is energized by keeping a large, global team running smoothly. You will work directly with the VP of Global Experiential Marketing to run the business operations of the department: finance administration, people administration, planning and reporting. You will take on the operating rhythm of a team that is growing to 24 people across three regions, so the VP's time goes to event strategy, quality control and team performance. This is a business operations role, not an event delivery role. The right person for this role will be a dependable, discreet and proactive operator who can hold many threads at once, prepare the numbers and the paperwork the VP needs to make decisions, chase commitments across regions without becoming a gatekeeper, and handle sensitive people and budget information with care. This role is office-based in our Berlin or London office; depending on the location of the right candidate, remote working in the UK or CEST timezone would be considered. As this is a global role, some out-of-hours working will be required. Occasional travel may be required.   ABOUT US Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game. For more information, visit xsolla.com. Longevity Opportunity Vision — Enjoy the game! Responsibilities Finance administration - Track and report on the department budget, preparing the numbers for the VP's budget decisions. - Manage expenses and travel requests for the team, and handle travel booking for the VP. - Manage Brex for the team: prepare and pre-check spend, flag exceptions and escalate anything above agreed limits, with the VP giving final approval. - Prepare travel reporting, including German travel reports within 7 days of travel. - Provide monthly budget vs actual reporting in the format agreed with Finance. People administration - Track holidays and time off across the team. - Coordinate the administration for reviews, promotions, recruitment and hiring, preparing the process while the VP makes the decisions and offers. - Track team goals and bonus envelopes. - Handle confidential people and compensation information in line with access rules agreed with HR and Finance. Reporting and operating rhythm - Prepare bi-weekly slides and updates for the MPI team, drafted for the VP to review and present. - Run leadership meeting logistics and maintain action and decision logs. - Chase commitments across regions, sales and operations, and track weekly progress in Jira plans. - Track global event deal and sponsorship approvals through to the VP's decision. Planning and workload - Maintain a view of team workload and capacity, and flag overload to the VP. - Own the planning calendar, including review, budget and bonus cycles. - Lead special projects and cross-regional initiatives on the VP's behalf. Working boundaries - Request updates and status from any team on the VP's behalf, in a way that speeds teams up rather than polices them. - Escalate budget, people and priority conflicts to the VP. - Stay out of event process and playbooks, which remain with the event operations team. Requirements Required: - 5+ years of professional experience in business operations, chief of staff, finance or operations administration, or a similar role supporting a senior leader or a large team. - Proven experience tracking budgets and expenses and producing clear financial and operational reporting. - Experience handling confidential information such as people, compensation or financial data with discretion. - Strong written and verbal communication skills in English, with the ability to build clear slides and updates for senior audiences. - Excellent organizational skills and the ability to manage many tasks and deadlines at once. - Proficiency with Google Workspace and standard Microsoft Office software. - Comfortable working with global teams across time zones in a culturally diverse company. Preferred: - Bachelor's degree in Business, Finance, Operations, or a related field (or equivalent experience). - Experience in the video games, tech or software industry, or in event and marketing operations. - Familiarity with Jira and the Atlassian suite, Brex or similar spend management tools, and forecasting software such as Anaplan. - Experience supporting a distributed global team across multiple regions. - Familiarity with HR processes such as performance reviews, promotions and hiring workflows. Benefits We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees through a comprehensive Benefits Program. This includes unlimited Flexible Time Off, Gym membership, monthly train ticket and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally. Together, we’re not just building a business; we’re cultivating a community that values creativity, collaboration, and the transformative power of play. The duties and responsibilities of this position may evolve over time to support the organization’s goals and individual growth. This job description is intended to outline the general nature and level of work being performed and is not intended to be an exhaustive list of all duties, responsibilities, and qualifications required. By submitting your application, you consent to Xsolla conducting background checks, where permitted by law, after the final interview stage. All checks will comply with local regulations, and your information will be handled confidentially. Xsolla takes your privacy seriously and will not sell or externally distribute any personal data received during the hiring process. In accordance with applicable data protection laws, Xsolla is committed to protecting your personal information and respecting your privacy. For any inquiries related to data privacy, please contact: careers@xsolla.com Explore more opportunities at: https://xsolla.com/careers

Location: Warsaw, Poland Your Responsibilities: Supervision of investments in the electrical industry, Oversight of work execution, including aspects related to on-site safety, Ensuring compliance of project implementation with design documentation and building permits, Quality control of completed electrical works, Ongoing cooperation with the investor's representatives, Participation in preparing requests for proposals (RFPs), Review of technical documentation related to electrical installations, Troubleshooting technical issues, Approval of work progress reports, Optimization of project solutions within the electrical scope, Cooperation with other company departments, Participation in coordination and technical meetings. Our Requirements: Higher education in electrical engineering, power engineering, or related fields, Unlimited building license in the field of electrical installations (execution), Good command of English (minimum B2 level) - nice to have, Proficiency in design software (e.g., AutoCAD; EPLAN is a plus), Experience with projects utilizing 3D models is a plus, Experience in a similar role on industrial facility projects, Teamwork and strong communication skills, Accuracy, responsibility, and independence, Willingness to travel for business purposes.

Location: Poland; Romania; Bulgaria; Serbia Workplace: Remote We are B2Spin, and we are dedicated to delivering the best Free-to-Play Social Casino and gaming experiences by creating captivating, engaging, and unique products that are accessible to everyone. We have built a team of talented professionals from all over the globe, who are working to continually improve the experiences of our players. We are not looking to just be part of the industry, but to revolutionize it. The role B2Spin is looking for a Data Science Manager to lead and grow our data science team across product, marketing, performance, and beyond. Reporting to the Head of Data, you'll set the quality bar for modelling and experimentation, translate business needs into clear team priorities, and act as the connective tissue between data scientists and the stakeholders who depend on their work. This is a role for someone who is genuinely hands-on, cares deeply about craft, and knows how to bring out the best in the people around them. What you'll do - Own the team's output across verticals — partner with the Head of Data to shape and prioritise the roadmap so data science work stays tightly aligned with business goals. - Bridge data science and the business — translate stakeholder needs into team priorities, manage expectations proactively, and communicate trade-offs and results in terms that land with non-technical audiences. - Raise and hold the quality bar — review modelling approaches, experimental design, and causal inference work, and step in directly to pair, deliver, or course-correct when coverage or quality demands it. - Hire, coach, and grow data scientists — run the hiring loop, lead 1:1s, and partner with the Head of Data on performance, compensation, and career development. - Drive rigorous experimentation — champion sound A/B testing, quasi-experimental methods, and causal thinking across both product and performance tracks. What we're looking for - A hands-on data science background with a track record of delivering models, experiments, or analyses that other teams actually used — not just built. - Demonstrated depth in at least one domain: Recommendation Systems, - - Experimental Design and Causal Inference, Customer Segmentation, Churn Prediction, Fraud/Anomaly Detection, or CRM analytics — product-focused experience particularly valued. - Strong command of statistical methods, supervised and unsupervised machine learning, and causal inference, sufficient to review and credibly challenge work across both tracks. - Evidence of leading others — as a tech lead, mentor, or hiring interviewer; prior formal people-management experience is a plus. - Proficiency in Python and SQL. - The communication range to give precise technical feedback to data scientists and represent the team clearly to senior non-technical stakeholders. - Familiarity with cloud-based data and ML platforms (AWS, GCP, or Azure) is a nice-to-have. Our values At B2Spin, passion drives everything — we love building cool stuff and want teammates who feel the same way. We operate on performance: accountability, transparency, and a bias for progress over perfection. If that sounds like your kind of environment, we'd love to hear from you. Equal opportunities We hire based on skills, drive, and ideas — nothing else. Your background, gender, age, race, ethnicity, disability, sexual orientation, religion, neurodiversity, or educational path will never be a barrier to joining us. We also welcome candidates from non-traditional career journeys and value diverse perspectives that challenge conventional thinking. Diversity fuels our innovation, collaboration, and growth, and we're committed to creating an environment where everyone can contribute their best work and thrive.

Workplace: remote Location : San Francisco Bay Area, CA, USA Work Model: Hybrid (2–3 days per week onsite) What we expect : Pharma/Biotech R&D experience and scientific background in Life Sciences, Molecular Biology, Biochemistry, Bioinformatics, or related fields Proven experience with Large Molecule / Biologics R&D workflows, including structural biology, protein design, or antibody engineering Experience with laboratory workflows, sample/inventory management, assay registration, requesting, and workflow progression Familiarity with Mosaic/BioMosaic or comparable scientific sample management platforms Familiarity with workflow applications such as Pega or comparable platforms Strong Business Analysis skills: requirements gathering, workflow analysis, user stories, and stakeholder management Experience working directly with scientists and engineering teams to troubleshoot existing scientific applications and define improvements Pega workflow familiarity Nice to have : Hands-on experience with Mosaic/BioMosaic Working knowledge of PK/TK/ADA and DMPK-related scientific data workflows Familiarity with scientific analytics and cheminformatics platforms such as Spotfire, Dotmatics Vortex, and OpenEye/FastROCS, or comparable tools Experience with high-throughput experimentation and laboratory automation Experience with legacy scientific application modernization We offer : Competitive compensation Remote or office work Flexible working hours Continuous education, mentoring, and professional development programs A team with excellent tech expertise

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 Pacing is Anthropic's work to make sure that, as AI capabilities advance, enough time and effort goes into making them safe. It covers the safety commitments we make and carry out ourselves, the public policy we develop and support, and the research and communication that help people understand how quickly AI is progressing and what that could mean. We're hiring a Technical Program Manager to run Pacing. It spans many projects led by people across Safety, Research, Policy, Legal, Communications, and Engineering, most of whom have other responsibilities too. You'll make sure each project has an owner, a clear outcome, and a date, and that leaders have high visibility and can make tradeoff decisions. You'll work closely with the team responsible for our Responsible Scaling Policy and support every project lead in delivering on their commitments. The questions and strategies relevant to this program will change rapidly as the frontier evolves. You'll need enough technical depth to drive discussions about model training, evaluations, and compute, and the judgment to identify which decisions belong with cross-functional partners and which you can make yourself. We're looking for a generalist who can ship quickly and iteratively and drive accountability towards high-level, ambiguous objectives. Key responsibilities Own the Pacing program end to end, keeping one accurate view of projects, owners, milestones, dependencies, and gaps that drives action from leadership and project leads Turn strategy from executive sponsors into scoped projects with measurable outcomes and timelines for execution, and drive concrete proposals to decisions Run the operating rhythm, including working sessions with project leads, regular written updates, and effective executive reviews, and follow decisions and action items through to completion Work with the Responsible Scaling Policy team and researchers to define the evidence and sign-off a model needs at key points in training and deployment, and make those reviews a dependable part of how we work Track the public and internal commitments Anthropic makes on pacing, and sequence the work, publications, and events behind them with Policy and Communications Partner with Legal throughout the lifespan of each project, and operate with high integrity on confidential and sensitive work Define how progress is measured, report against it candidly, and recommend which projects and practices to continue, change, or stop Use Claude to build automations to allow teams to have broader and deeper impact Minimum qualifications Experience leading multiple complex technical programs that span organizations and involve engineering or research teams, from ambiguous goals through delivery Strong program management skills, including program planning, milestone and dependency tracking, and risk management across many concurrent projects Technical fluency sufficient to identify risks and challenge tradeoffs in how frontier AI models are trained, evaluated, and deployed Working knowledge of AI safety and the main debates about how frontier AI should be developed and governed A track record of delivering through senior leaders and teams who don't report to you, including when it meant changing how they work Experience preparing decisions for executives, including framing options, making a recommendation, and recording the outcome Sound judgment and discretion with confidential and sensitive information Preferred qualifications Experience at a frontier AI developer, a government AI institute, an independent evaluator, or an AI safety or governance research organization Hands-on experience with frontier AI safety work, such as safety frameworks, safety cases, risk reports, model evaluations, or reviews of model training or deployment Familiarity with how AI progress is measured, including compute, capability trends, and the use of AI to speed up AI research Experience delivering programs that combine technical work with public policy, or that bring together experts from different organizations Experience managing published commitments or high-visibility public releases Experience building a program from zero and reshaping it as the strategy evolved 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: $290,000 — $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: 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 gives independent external evaluators access to our models, our people, and our safety practices so that they can assess risks, processes, and policies. We're hiring a Technical Program Manager to establish and deepen our partnerships with these external reviewers and embedded evaluators to support a thriving frontier evaluation ecosystem. You'll be the main point of contact for our existing partners, deepening our support so that they can work effectively and produce high-quality, rigorous, independent publications. You'll separately broaden the portfolio of organizations we are working with, managing the funnel from first conversation through contracting, onboarding, and day-to-day access, culminating in published reports. You'll evolve our current time-intensive manual processes into a system that can support many evaluators at once, working with teams across Safety, Research, Security, Legal, People Services, IT, Policy, and Communications. Within six months, you should be able to take a new evaluator from contract negotiation to first published report with minimal involvement from senior leaders. You'll need the technical depth to work out with researchers and engineers what access, tooling, and evidence an evaluation requires, and the judgment to resolve most questions quickly and escalate the few that need it, while balancing evaluators' need for access with Anthropic's requirements to protect its customers, its security, and its confidential information. We're looking for a generalist who can ship quickly and iteratively, and who earns trust on both sides. Key responsibilities Own the external evaluator program end to end, including our relationships with evaluator organizations and the pipeline of future partners Take each evaluator from first conversation through scoping, contracting, onboarding, access, and review to a published report Define the stages and tiers of working with evaluators, and develop information access policies that meet evaluators' needs while protecting security and confidential information Drive evaluators' access and information requests to fast, well-documented decisions in partnership with Research, Security, Legal, and IT Drive the technical design of evaluator access with Security, IT, and infrastructure teams, including permissions, environments, and monitoring, and close gaps between policy and technical controls without slowing evaluators down Run the review process for evaluator reports against agreed timelines and redaction criteria, while protecting evaluators' ability to publish their own conclusions Scope evaluations with researchers and engineers, turning evaluators' questions about training, monitoring, and alignment into concrete requirements for model access, data, tooling, and compute, and planning capacity for each new evaluator Turn evaluators' technical findings into research and engineering work with owners and dates, and drive accountability for how Anthropic responds Keep the company informed with regular updates on how the program is going, and clear guidance on how to work with evaluators Collect feedback from evaluators and internal teams, run retrospectives, and iterate on policies and practices Use Claude and work with engineering teams to build the tooling the program runs on, such as access provisioning, request tracking, and report review Support a thriving ecosystem of evaluators by sharing what we learn about running independent evaluation well Minimum qualifications Experience leading complex technical programs with engineering or research teams, from ambiguous goals through delivery Experience managing relationships with external organizations, including scoping work, navigating contracting, setting expectations, and resolving disagreements Strong program management skills, including program planning, milestone and dependency tracking, and risk management across many concurrent workstreams Technical fluency in how frontier AI models are trained, evaluated, and monitored, sufficient to define technical requirements, identify technical risks, and challenge tradeoffs with researchers and engineers Sound judgment and discretion with confidential and sensitive information 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: $290,000 — $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.

Workplace: remote Location : San Francisco Bay Area, CA, USA Work Model: Hybrid (2–3 days per week onsite) What we expect : Pharma/Biotech R&D experience and scientific background in Chemistry, Cheminformatics, Computational Biology, Pharmacology, or related fields Proven experience with Small Molecule R&D workflows, including cheminformatics, compound analysis, or chemical research data management Experience with scientific data ingestion, processing, integration, troubleshooting, and recovery of failed data workflows Working knowledge of PK/TK/ADA and DMPK-related scientific data workflows Experience with high-throughput experimentation, screening, or laboratory automation workflows Familiarity with scientific analytics and cheminformatics platforms such as Spotfire, Dotmatics Vortex, and OpenEye/FastROCS, or comparable tools Strong Business Analysis skills: requirements gathering, data flow analysis, user stories, and stakeholder management Experience working directly with scientists and engineering teams to resolve application and scientific data issues Nice to have : Hands-on experience with Spotfire, Dotmatics Vortex, or OpenEye toolkits Experience with Large Molecule / Biologics R&D workflows, including structural biology, protein design, or antibody engineering Experience with peptide/monomer informatics Advanced knowledge of PK/PD modeling or pharmacometrics Familiarity with scientific computing and HPC workflows We offer : Competitive compensation Remote or office work Flexible working hours Continuous education, mentoring, and professional development programs A team with excellent tech expertise

Workplace: remote Location : Quantori is an international team: we have colleagues who work not only from office but also remotely from all over the world. Responsibilities : 1. Practice Strategy & Development Define and execute the strategy and development roadmap for the assigned practice. Identify emerging technologies, industry trends, and evolving client needs relevant to the practice. Assess current practice strengths, gaps, and opportunities for development. Define the expertise, competencies, and skills required to support current and future business needs. Develop and maintain practice standards, methods, frameworks, and reusable knowledge assets. Contribute to the evolution of Quantori's service offerings and solution accelerators. Define the strategic roadmap for life sciences computational R&D, multi-omics platforms, and drug discovery informatics. 2. Talent & Competency Development Establish competency frameworks, skill expectations, and proficiency levels within the practice. Assess professional skills and expertise to identify individual and collective development needs. Support employee career development, technical growth, mentoring, and knowledge sharing. Establish professional development priorities aligned with evolving market needs. Build communities of practice that encourage collaboration, learning, and the exchange of expertise. Provide technical and professional input into recruiting, candidate assessment, and hiring decisions. Support the development of career pathways and progression opportunities within the practice. 3. Technical & Domain Excellence Establish and maintain professional, technical, and domain standards for the practice. Promote consistent quality, sound technical approaches, and recognized industry practices. Provide expert guidance on complex technical or scientific challenges. Support technical reviews, knowledge sharing, and continuous improvement. Identify opportunities to strengthen the quality, efficiency, and consistency of client solutions. Develop reusable methods, tools, frameworks, and intellectual assets that advance the practice. Oversee the development of scalable scientific computing pipelines, workflow orchestration (Nextflow/WDL), and computational modeling standards. 4. Client Engagement & Solution Expertise Contribute directly to billable client work as a subject matter expert, Solution or Engagement Lead, or senior practitioner. Provide technical or domain leadership on complex client engagements. Engage directly with client C-suite executives, Chief Scientific Officers (CSOs), and R&D heads as principal domain authority. 5. Technology Partnerships Establish and manage strategic relationships with technology partners relevant to the Practice. Identify emerging technologies and assess opportunities to incorporate them into Quantori's offerings and solutions. Develop partner-aligned enablement, training and certification programs. Build and maintain a strong base of partner-certified expertise within the Practice. Collaborate with technology partners on joint solutions, go-to-market initiatives and business opportunities. What we expect : Experience: 12+ years of experience in scientific informatics, computational biology, or bioinformatics, with significant leadership experience in a technology services or life sciences R&D setting. Technical Expertise: Advanced proficiency in bioinformatics pipelines (Nextflow, WDL, CWL), data analysis languages (Python, R), and cloud-scale scientific computing infrastructure (AWS/Azure). Domain Knowledge: Deep understanding of drug discovery pipelines, genomics, proteomics, molecular modeling, and clinical data management. Commercial Acumen: Proven success in closing high-value deals with pharmaceutical and biotech clients and managing profitable practice operations. Education: Ph.D. or Master's degree in Bioinformatics, Computational Biology, Biochemistry, Computer Science, or a related scientific discipline. We offer : Competitive compensation Remote or office work Flexible working hours Healthcare benefits: medical insurance and paid sick leave Continuous education, mentoring, and professional development programs A team with an excellent tech expertise Certifications paid by the company

Workplace: remote Location : Quantori is an international team: we have colleagues who work not only from office but also remotely from all over the world. Responsibilities : 1. Practice Strategy & Development Define and execute the strategy and development roadmap for the assigned practice. Identify emerging technologies, industry trends, and evolving client needs relevant to the practice. Assess current practice strengths, gaps, and opportunities for development. Define the expertise, competencies, and skills required to support current and future business needs. Develop and maintain practice standards, methods, frameworks, and reusable knowledge assets. Contribute to the evolution of Quantori's service offerings and solution accelerators. Establish Quantori as a premier market leader in lab automation, LIMS consulting, and connected laboratory ecosystems. 2. Talent & Competency Development Establish competency frameworks, skill expectations, and proficiency levels within the practice. Assess professional skills and expertise to identify individual and collective development needs. Support employee career development, technical growth, mentoring, and knowledge sharing. Establish professional development priorities aligned with evolving market needs. Build communities of practice that encourage collaboration, learning, and the exchange of expertise. Provide technical and professional input into recruiting, candidate assessment, and hiring decisions. Support the development of career pathways and progression opportunities within the practice. 3. Technical & Domain Excellence Establish and maintain professional, technical, and domain standards for the practice. Promote consistent quality, sound technical approaches, and recognized industry practices. Provide expert guidance on complex technical or scientific challenges. Support technical reviews, knowledge sharing, and continuous improvement. Identify opportunities to strengthen the quality, efficiency, and consistency of client solutions. Develop reusable methods, tools, frameworks, and intellectual assets that advance the practice. Define standards for laboratory instrument integration, electronic lab notebook (ELN) customization, and compliance (GxP/FDA data integrity). 4. Client Engagement & Solution Expertise Contribute directly to billable client work as a subject matter expert, Solution or Engagement Lead, or senior practitioner. Provide technical or domain leadership on complex client engagements. Partner with lab managers, R&D operations directors, and IT leads to automate laboratory workflows and streamline data capture. 5. Technology Partnerships Establish and manage strategic relationships with technology partners relevant to the Practice. Identify emerging technologies and assess opportunities to incorporate them into Quantori's offerings and solutions. Develop partner-aligned enablement, training and certification programs. Build and maintain a strong base of partner-certified expertise within the Practice. Collaborate with technology partners on joint solutions, go-to-market initiatives and business opportunities. What we expect : Experience: 10+ years in laboratory informatics, lab automation, or scientific hardware/software integration within life sciences or pharma environments. Technical Expertise: Deep familiarity with commercial LIMS/ELN platforms (e.g., LabWare, Benchling, Revvity Signals), instrument middleware, and laboratory data standards (SiLA, AnIML). Domain Knowledge: Understanding of analytical lab instrumentation, assay automation, sample lifecycle management, and regulatory compliance (21 CFR Part 11). Commercial Acumen: Experience shaping consulting offerings and delivering profitable lab automation projects for pharmaceutical clients. Education: Bachelor's or Master's degree in Chemistry, Biology, Biomedical Engineering, Computer Science, or a related field. We offer : Competitive compensation Remote or office work Flexible working hours Healthcare benefits: medical insurance and paid sick leave Continuous education, mentoring, and professional development programs A team with an excellent tech expertise Certifications paid by the company

Location: London, United Kingdom; Dubai, United Arab Emirates Workplace: fully We are hiring for this position to be based in Dubai (UAE) or Eastern Europe. Praktika is an AI-native education company on a mission to deliver efficient, engaging language learning to billions of people worldwide. We're bridging the gap between traditional learning apps and human tutors through a fully automated tutorship experience powered by generative AI avatars. Since launching our mobile apps in 2023, we've reached over 30 million learners and grown to over 2 million monthly active users, become one of the world's top-4 learning apps, and recently closed a $30M Series A to accelerate our roadmap. We're a fully distributed team of ~50 people across 4 continents and 15+ countries, working asynchronously to ship fast and operate at a high bar. We're hiring a Lead DevOps Engineer to own all of Praktika's infrastructure and all access to it. This is a hands-on role with real leadership: you'll set the direction for our infrastructure, build it, run it, and keep it secure, reliable, cost-efficient and fast as we grow. You'll work with every engineering team and with non-engineering teams too. We are rebuilding how the company works around AI, and infrastructure is where that has to be made safe. What you'll do Own the infrastructure end to end: design, build and run our AWS-based infrastructure, and be the owner when it fails. Own identity and access for the whole company: cloud accounts, vendors, internal tools, onboarding and offboarding. Own infrastructure security (IAM, networks, secrets, audit logs) and the technical part of compliance: ISO 27001, SOC 2, GDPR. Keep costs visible and under control across clouds and AI vendors. Run the hosting and inference infrastructure for our ML and LLM models. Close repeated operational requests with automation and self-service, not with tickets and manual console changes. Rebuild infrastructure processes around AI: code review, monitoring and observability, alert triage, incident investigation. Build the place where internal tools and apps, built with AI by engineers and non-engineers, are deployed safely, reviewed and monitored. Build your own tools with AI too. Give delivery teams golden paths (service templates, CI/CD, safe deploys, alerts) that make the standard way the easy way, without blocking teams. What we're looking for We're looking for outstanding engineers who thrive in a challenging environment, bring a growth mindset, and operate with a high degree of agency, devotion, and autonomy. Required Ownership mindset: you make decisions and finish work without supervision. Deep hands-on AWS experience in production, including containers on ECS. Infrastructure as code (Terraform) as your normal way of working. A solid security foundation and a real interest in security. You have already built working tools with AI coding agents, and you use AI in your daily work. You have changed how other teams work without formal authority over them. You have set a technical direction and split large projects into deliverable parts. Ability to thrive in an async, distributed, written-first culture. Bonus DevSecOps experience and an understanding of how attacks work. Hands-on work on SOC 2, ISO 27001 or GDPR. Experience with clouds other than AWS. Experience with infrastructure for ML / LLM inference. Prior experience at an early-stage or high-growth consumer product company. Our stack AWS (containers, serverless, managed databases, CDN), Terraform, GitHub Actions, Datadog, SQL and NoSQL databases, event streaming, a data warehouse, hosted ML / LLM inference, and others. How we work Mission-driven: we're building the #1 language learning app and competing to win. AI-native: AI isn't a feature; it's how we think, build, and scale. Extreme ownership: every project has a clear owner who drives it to success. Less meetings, more outputs: async first; meetings are a last resort. Speed & excellence: move fast without compromising quality. Truly all-in: impactful work, full commitment, real rewards. Data-driven: decisions are based on evidence, not opinion. User-obsessed: if it doesn't improve the learner experience, it doesn't matter. What we offer Room to grow: as you prove yourself, your scope can grow to Head of Platform (backend team). Equity that grows with your impact (stock options). 26 days of holiday plus bank holidays (34 days per year total). Annual company off-site (last year: Dubai). Health and wellness benefits via SafetyWing. Full AI toolkit access: Claude, Cursor, Codex, and other productivity tools. $1,000 annual education and learning budget. Fully remote, based in Dubai or Eastern Europe. Interview Process: Intro interview with our Head of Talent. Technical interviews with our CTO. Culture interview with a member of the leadership team. Peer interview with an engineer from the team. No take-home task. We will provide you with feedback throughout the interview process.

Location: San José, Costa Rica Who are we? Centro is an international product development company with over 15 years of expertise in web development, commercial design, affiliate, and online marketing. Our diverse and talented team operates across various countries, including the USA, Canada, Cyprus, Ukraine, Poland, Georgia, and more. Our project is the original home of independent creators producing niche digital content. What you’ll be working on: Apply Agile and Scrum principles in day-to-day work while planning and managing project timelines, releases, and rollouts; Research, evaluate, and validate new product ideas aligned with company OKRs and overall product strategy; Define clear, well-structured product requirements and communicate them effectively to the development team, including technical context and feedback; Collaborate with other Product Owners and stakeholders to manage dependencies, align priorities, and ensure smooth, timely feature delivery Maintain regular communication with stakeholders to set expectations, gather input, and address questions; Scope resources, prioritize backlog items, and define sprint goals while monitoring progress and removing blockers; Lead by example to foster a collaborative, autonomous team environment and drive accountability; Take ownership of problem-solving by driving solutions, implementing fixes, and ensuring task completion; Design and execute A/B tests, and monitor product usage to continuously optimize Creator tools; Stay up to date with industry trends and conduct competitive analysis across both niche and mainstream markets; Understand user flows by implementing tracking, building reports and dashboards, and continuously optimizing flows based on data insights; Understand and track stakeholder KPIs, communicate performance insights, and adapt messaging for different audiences. About you: 5+ years of experience as a Product Owner or Product Manager in a web development environment, with strong hands-on experience using AI tools as part of day-to-day product management workflows. Strong product thinking with the ability to identify high-impact opportunities, prioritize effectively, and drive initiatives from discovery to validation; User-first mindset with a strong focus on customer behavior, and business impact; Proven ability to rapidly prototype product concepts using AI-powered tools, validate ideas with users and data, and iterate quickly based on feedback. Data-driven approach to decision-making, including experience with product analytics, experimentation, and performance measurement; Experience with subscription-based products is a strong advantage; Demonstrated ability to think strategically, identify market opportunities, and translate business objectives into product initiatives with measurable outcomes. Strong understanding of OKR frameworks; outcome-driven product development, experimentation frameworks, and modern product operating model Comfortable working in AI-first product development environments where prototypes, AI-generated specifications, and rapid experimentation are used to accelerate delivery. Solid technical understanding of modern development workflows, tools, and engineering concepts; Hands-on experience with AI tools such as ChatGPT, Claude, Cursor, Lovable, v0, or similar AI-powered workflows; Ability to leverage AI tools to accelerate product discovery, documentation, analysis, experimentation, and execution; Skilled in writing clear, structured, and actionable product requirements optimized for both human collaboration and AI-assisted workflows; Strong analytical, communication, and stakeholder management skills; Highly adaptable, detail-oriented, and comfortable operating in rapidly evolving environments; Strong ownership mindset with the ability to influence, inspire, and motivate cross-functional teams; Why work with us? Competitive salary - receive compensation that reflects your skills and experience; ‍Growth and development - opportunities to grow are endless, with support for your professional development; Remote flexibility - work from anywhere, with a team that values balance and productivity; High level of autonomy, ownership, and accountability; No bureaucracy or micromanagement – we value autonomy and initiative; Educational programs  to expand your knowledge and skills; Team-building activities and opportunities to attend industry events; Paid holidays, vacation, personal days and sick leave. Like ownership and real impact? We should meet 🚀

Location: Montreal, QC, Canada We’re looking for a Payment Processing Manager . This is a new role. As we continue scaling our marketplace and subscription products, we're looking for a Payment Processing Manager who will optimize payment performance, improve conversion rates, reduce fraud and chargebacks, and drive smarter payment strategies across the business. About us Centro is an international product company with over 20 years of expertise in product development, affiliate marketing, and online technologies. Our team of 300+ professionals across Europe and North America builds products used by millions of users worldwide. Key Responsibilities Own and optimize the end-to-end payment ecosystem across marketplace and subscription products. Increase payment approval rates through routing, processor optimization, and payment recovery strategies. Lead fraud prevention, chargeback management, and payment risk initiatives while balancing conversion and security. Improve checkout, recurring billing, and subscription payment performance to maximize revenue and reduce churn. Analyze payment data and implement data-driven improvements across the payment funnel. Collaborate with Product, Engineering, Finance, Trust & Safety, and payment partners to deliver a seamless payment experience. Evaluate new payment methods, processors, and technologies to support business growth. Qualifications 5 years of experience in payments, payment operations, fintech, e-commerce, subscriptions, or marketplaces. Experience with subscription billing, recurring payments, payment optimization, and payment recovery strategies. Knowledge of fraud prevention, chargeback management, payment risk, and payment compliance. Strong analytical skills with the ability to translate payment data into actionable business decisions. Experience working cross-functionally with Product, Engineering, Finance, Risk, and Compliance teams. Excellent communication, stakeholder management, and problem-solving skills. Understanding of payment gateways, processors, acquiring, card networks, authorization flows, and BIN routing is an asset. Why work with us? Competitive salary - receive compensation that reflects your skills and experience; ‍Growth and development - opportunities to grow are endless, with support for your professional development; High level of autonomy, ownership, and accountability; No bureaucracy or micromanagement – we value autonomy and initiative; Educational programs  to expand your knowledge and skills; Team-building activities and opportunities to attend industry events; Paid holidays, vacation, personal days and sick leave. Send us your resume today - we are excited to meet you!

Location: Limassol, Cyprus We’re looking for a Payment Processing Manager . As we continue scaling our marketplace and subscription products, we're looking for a Payment Processing Manager who will optimize payment performance, improve conversion rates, reduce fraud and chargebacks, and drive smarter payment strategies across the business. About us Centro is an international product company with over 20 years of expertise in product development, affiliate marketing, and online technologies. Our team of 300+ professionals across Europe and North America builds products used by millions of users worldwide. Key Responsibilities Own and optimize the end-to-end payment ecosystem across marketplace and subscription products. Increase payment approval rates through routing, processor optimization, and payment recovery strategies. Lead fraud prevention, chargeback management, and payment risk initiatives while balancing conversion and security. Improve checkout, recurring billing, and subscription payment performance to maximize revenue and reduce churn. Analyze payment data and implement data-driven improvements across the payment funnel. Collaborate with Product, Engineering, Finance, Trust & Safety, and payment partners to deliver a seamless payment experience. Evaluate new payment methods, processors, and technologies to support business growth. Qualifications 5  years of experience in payments, payment operations, fintech, e-commerce, subscriptions, or marketplaces. Experience with subscription billing, recurring payments, payment optimization, and payment recovery strategies. Knowledge of fraud prevention, chargeback management, payment risk, and payment compliance. Strong analytical skills with the ability to translate payment data into actionable business decisions. Experience working cross-functionally with Product, Engineering, Finance, Risk, and Compliance teams. Excellent communication, stakeholder management, and problem-solving skills. Understanding of payment gateways, processors, acquiring, card networks, authorization flows, and BIN routing is an asset. Why work with us? Competitive salary - receive compensation that reflects your skills and experience; ‍Growth and development - opportunities to grow are endless, with support for your professional development; High level of autonomy, ownership, and accountability; No bureaucracy or micromanagement – we value autonomy and initiative; Educational programs  to expand your knowledge and skills; Team-building activities and opportunities to attend industry events; Paid holidays, vacation, personal days and sick leave. Send us your resume today - we are excited to meet you!

Location: Montreal, QC, Canada Who are we? Centro is an international product development company with over 15 years of expertise in web development, commercial design, affiliate, and online marketing. Our diverse and talented team operates across various countries, including the USA, Canada, Cyprus, Ukraine, Poland, Georgia, and more. Our project is the original home of independent creators producing niche digital content. What you’ll be working on: Apply Agile and Scrum principles in day-to-day work while planning and managing project timelines, releases, and rollouts; Research, evaluate, and validate new product ideas aligned with company OKRs and overall product strategy; Define clear, well-structured product requirements and communicate them effectively to the development team, including technical context and feedback; Collaborate with other Product Owners and stakeholders to manage dependencies, align priorities, and ensure smooth, timely feature delivery Maintain regular communication with stakeholders to set expectations, gather input, and address questions; Scope resources, prioritize backlog items, and define sprint goals while monitoring progress and removing blockers; Lead by example to foster a collaborative, autonomous team environment and drive accountability; Take ownership of problem-solving by driving solutions, implementing fixes, and ensuring task completion; Design and execute A/B tests, and monitor product usage to continuously optimize Creator tools; Stay up to date with industry trends and conduct competitive analysis across both niche and mainstream markets; Understand user flows by implementing tracking, building reports and dashboards, and continuously optimizing flows based on data insights; Understand and track stakeholder KPIs, communicate performance insights, and adapt messaging for different audiences. About you: 7+ years of experience as a Product Owner or Product Manager in a web development environment, with strong hands-on experience using AI tools as part of day-to-day product management workflows. Strong product thinking with the ability to identify high-impact opportunities, prioritize effectively, and drive initiatives from discovery to validation; User-first mindset with a strong focus on customer behavior, and business impact; Proven ability to rapidly prototype product concepts using AI-powered tools, validate ideas with users and data, and iterate quickly based on feedback. Data-driven approach to decision-making, including experience with product analytics, experimentation, and performance measurement; Experience with subscription-based products is a strong advantage; Demonstrated ability to think strategically, identify market opportunities, and translate business objectives into product initiatives with measurable outcomes. Strong understanding of OKR frameworks; outcome-driven product development, experimentation frameworks, and modern product operating model Comfortable working in AI-first product development environments where prototypes, AI-generated specifications, and rapid experimentation are used to accelerate delivery. Solid technical understanding of modern development workflows, tools, and engineering concepts; Hands-on experience with AI tools such as ChatGPT, Claude, Cursor, Lovable, v0, or similar AI-powered workflows; Ability to leverage AI tools to accelerate product discovery, documentation, analysis, experimentation, and execution; Skilled in writing clear, structured, and actionable product requirements optimized for both human collaboration and AI-assisted workflows; Strong analytical, communication, and stakeholder management skills; Highly adaptable, detail-oriented, and comfortable operating in rapidly evolving environments; Strong ownership mindset with the ability to influence, inspire, and motivate cross-functional teams; Why work with us? Competitive salary - receive compensation that reflects your skills and experience; ‍Growth and development - opportunities to grow are endless, with support for your professional development; Remote flexibility - work from anywhere, with a team that values balance and productivity; High level of autonomy, ownership, and accountability; No bureaucracy or micromanagement – we value autonomy and initiative; Educational programs  to expand your knowledge and skills; Team-building activities and opportunities to attend industry events; Paid holidays, vacation, personal days and sick leave. Like ownership and real impact? We should meet 🚀