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Location: Prague Wrike is the most powerful work management platform. Built for teams and organizations looking to collaborate, create, and exceed every day, Wrike brings everyone and all work into a single place to remove complexity, increase productivity, and free people up to focus on their most purposeful work. Wrike is our people, not a place. As a distributed team, we own our growth, stay globally connected, and rely on the product we build to deliver impactful work alongside brilliant minds. You'll have real ownership over meaningful work, a global team that has your back, and the flexibility to do your best work your way. If that sounds like you, we'd love to hear from you. Our vision: A world where everyone is free to focus on their most purposeful work, together. About the Role: You'll help build the very AI-powered platform you use every day, with real autonomy over the features you ship. We're looking for a Product Analyst to help us better understand how customers use Wrike, identify product opportunities, and support better product decisions with data. You’ll work closely with Product, Design, Engineering, and UXR throughout the product development lifecycle — from exploring customer problems and evaluating opportunities to defining success metrics and measuring the impact of released features. This role goes beyond reporting numbers. We expect Product Analysts to understand why something is happening, why it matters, and what we should consider doing next — turning data into clear insights and actionable recommendations. Our Work Style: Tech Stack: SQL (GBQ), Python, Tableau, Amplitude, Airflow Work Mode: Hybrid – 2 days in office Your Impact: Discover and Evaluate Product Opportunities Explore customer behavior and product usage, size opportunities, investigate root causes, and turn findings into actionable insights and recommendations. Assess and Measure Product Impact Estimate the potential impact of product initiatives, define meaningful success metrics and baselines, and evaluate whether released changes deliver the expected customer and business value. Run Experiments and Product Research Design and analyze experiments and quantitative research, selecting appropriate methods and data sources and clearly communicating limitations and confidence in the results. Turn Data into Product Insights Investigate adoption, engagement, conversion, and changes in user behavior. Go beyond what happened to explain why it matters and what teams should consider doing next. Build Analytics for Scale Create dashboards, reusable analyses, documentation, and automation that make recurring questions easier to answer and help teams use data more effectively. Partner with Product Teams Bring an analytical perspective to product discussions, communicate findings clearly, challenge assumptions when needed, and help teams make evidence-informed decisions. Use AI to Work Smarter Use AI responsibly to accelerate analytical work and improve analytical workflows. Your Qualifications: 2+ years of experience in product, data, business analytics, or a similar analytical role Strong SQL skills and experience with analytical databases; Google BigQuery is a plus Experience with BI tools (Looker / Tableau) Good understanding of statistics, experimentation, and A/B testing Ability to independently drive analytical projects from understanding the question to delivering insights and recommendations Strong problem-solving skills and ability to connect data to customer, product, and business context Ability to validate data and assumptions and recognize limitations in evidence Ability to balance analytical depth, speed, and business needs Strong communication and collaboration skills Experience using AI tools to improve analytical workflows and productivity, with a critical approach to validating outputs. Upper-Intermediate or better English Standout Qualities: Python skills for data analysis Experience with Amplitude Experience with advanced analytical methods such as regression, clustering, or causal inference Experience with product discovery or opportunity assessment Experience building AI-enabled analytical workflows, automations, or reusable AI solutions. Team Dynamics: You'll join a team of experienced Product Analysts working closely with Product and R&D teams. We use data not only to measure what happened, but to understand customer behavior, identify opportunities, and help teams make better product decisions. We value curiosity, analytical rigor, ownership, business thinking, and collaboration, while continuously looking for ways to make analytics more scalable through reusable approaches, automation, and AI. What’s Next? Exploratory call with recruiter Home task assignment Technical Interview Culture Interview If you're passionate about understanding how and why customers use products and want your analysis to influence real product decisions, we'd love to hear from you. Perks & Benefits: 5 Weeks of paid vacation Sick Leave Compensation 5 Paid Uncertified Sick Days 2 weeks fully paid w/ medical certificate, additional 4 weeks paid at 80% salary rate Parental Leave (fully paid): 18 Weeks Maternity / 4 Week Paternity 2 Volunteer Days Meal Vouchers (CZK 220 per working day) Annual Prague Travel Card (Lítačka) Hybrid Working Model Benefit budget with flexible options, including a MultiSport card, Canadian Medical membership, contributions to a pension savings plan and additional choices available through Benefit Plus Your recruitment buddy will be Alexandra Vorobyova , Lead Recruiter. #LI-AV1 Who Is Wrike and Our Culture We’re a team of innovators and creators who solve the complex work problems of today and tomorrow. Hybrid work mode Wrike is our people, not a place. With 1,000+ employees collaborating across nearly every time zone, we support talent through 10 global hubs — Australia, Costa Rica, Cyprus, Czechia, Estonia, France, India, Ireland, Japan, and the United States — offering flexible ways of working that include remote work, hybrid environments, and co-working spaces across many locations. While flexibility looks different across teams and regions, employees located near certain hubs — particularly in Prague (CZ), Nicosia (CY), Bangalore (IN), and Rennes (FR) — are generally expected to collaborate in person around 2–3 days per week, balancing the flexibility of distributed work with opportunities for in-person collaboration and connection. Our persona 💡  Smart: We love what we do, and we’re great at it because this is our domain. Our combined knowledge in this space is unmatched. 💚  Dedicated: We get up every day focused on helping our customers win. We’re committed to helping our teammates win, too! 🤗  Approachable: We're friendly, easy to get along with, considerate, and helpful. Our culture and Values 🤩 Customer-Focused We care about our customers. We understand the customer journey, experience, and value derived from Wrike. Decision-making and action-taking are done with the customer in mind. 🤝 Collaborative We work as one and win together, each bringing unique strengths that contribute to diversity of thought for better outcomes. Leveraging our own work management platform, we foster an environment of creative collaboration and shared achievement. 🎨 Creative We strive to succeed through continuous innovation. It’s our pursuit of novel concepts that helped us create a market category. We continue to cultivate a workplace that fosters creative thinking as a means of transcending conventional boundaries and empowers us to break new ground to deliver extraordinary work management solutions. 💪 Committed We believe in ownership at all levels of the organization, by owning workflows from start to finish. Each member of our team is an integral part of this commitment, establishing work as a platform for personal growth and transformation, as well as collective success and growth. Check out our LinkedIn Life Page , Company culture page , Instagram , Wrike Engineering Team , Medium , Meetup.com , Youtube for a feel for what life is like at Wrike.

Location: Nicosia Wrike is the most powerful work management platform. Built for teams and organizations looking to collaborate, create, and exceed every day, Wrike brings everyone and all work into a single place to remove complexity, increase productivity, and free people up to focus on their most purposeful work. Wrike is our people, not a place. As a distributed team, we own our growth, stay globally connected, and rely on the product we build to deliver impactful work alongside brilliant minds. You'll have real ownership over meaningful work, a global team that has your back, and the flexibility to do your best work your way. If that sounds like you, we'd love to hear from you. Our vision: A world where everyone is free to focus on their most purposeful work, together. About the Role: You'll help build the very AI-powered platform you use every day, with real autonomy over the features you ship. We're looking for a Product Analyst to help us better understand how customers use Wrike, identify product opportunities, and support better product decisions with data. You’ll work closely with Product, Design, Engineering, and UXR throughout the product development lifecycle — from exploring customer problems and evaluating opportunities to defining success metrics and measuring the impact of released features. This role goes beyond reporting numbers. We expect Product Analysts to understand why something is happening, why it matters, and what we should consider doing next — turning data into clear insights and actionable recommendations. Our Work Style: Tech Stack: SQL (GBQ), Python, Tableau, Amplitude, Airflow Work Mode: Hybrid – 2 days in office Your Impact: Discover and Evaluate Product Opportunities Explore customer behavior and product usage, size opportunities, investigate root causes, and turn findings into actionable insights and recommendations. Assess and Measure Product Impact Estimate the potential impact of product initiatives, define meaningful success metrics and baselines, and evaluate whether released changes deliver the expected customer and business value. Run Experiments and Product Research Design and analyze experiments and quantitative research, selecting appropriate methods and data sources and clearly communicating limitations and confidence in the results. Turn Data into Product Insights Investigate adoption, engagement, conversion, and changes in user behavior. Go beyond what happened to explain why it matters and what teams should consider doing next. Build Analytics for Scale Create dashboards, reusable analyses, documentation, and automation that make recurring questions easier to answer and help teams use data more effectively. Partner with Product Teams Bring an analytical perspective to product discussions, communicate findings clearly, challenge assumptions when needed, and help teams make evidence-informed decisions. Use AI to Work Smarter Use AI responsibly to accelerate analytical work and improve analytical workflows. Your Qualifications: 2+ years of experience in product, data, business analytics, or a similar analytical role Strong SQL skills and experience with analytical databases; Google BigQuery is a plus Experience with BI tools (Looker / Tableau) Good understanding of statistics, experimentation, and A/B testing Ability to independently drive analytical projects from understanding the question to delivering insights and recommendations Strong problem-solving skills and ability to connect data to customer, product, and business context Ability to validate data and assumptions and recognize limitations in evidence Ability to balance analytical depth, speed, and business needs Strong communication and collaboration skills Experience using AI tools to improve analytical workflows and productivity, with a critical approach to validating outputs. Upper-Intermediate or better English Standout Qualities: Python skills for data analysis Experience with Amplitude Experience with advanced analytical methods such as regression, clustering, or causal inference Experience with product discovery or opportunity assessment Experience building AI-enabled analytical workflows, automations, or reusable AI solutions. Team Dynamics: You'll join a team of experienced Product Analysts working closely with Product and R&D teams. We use data not only to measure what happened, but to understand customer behavior, identify opportunities, and help teams make better product decisions. We value curiosity, analytical rigor, ownership, business thinking, and collaboration, while continuously looking for ways to make analytics more scalable through reusable approaches, automation, and AI. What’s Next? Exploratory call with recruiter Home task assignment Technical Interview Culture Interview If you're passionate about understanding how and why customers use products and want your analysis to influence real product decisions, we'd love to hear from you. Perks & Benefits: 25 working days of paid vacation Sick Leave Compensation (5 Uncertified + 10 Certified Days) Parental Leave: Fully Paid Maternity / 4 Weeks Paid Paternity 2 Volunteer Days Medical Insurance (Employees + Dependents) Life Insurance (Employees) Provident Fund Hybrid Working Model School Allowance (Up to €600/month for school aged kids) Simcard w/ Unlimited Internet Access for active employees Office Lunch Allowance (via Wolt) on Wednesdays / Thursdays Work Permit, Blue Card & Naturalization Support Your recruitment buddy will be Alexandra Vorobyova , Lead Recruiter. #LI-AV1 Who Is Wrike and Our Culture We’re a team of innovators and creators who solve the complex work problems of today and tomorrow. Hybrid work mode Wrike is our people, not a place. With 1,000+ employees collaborating across nearly every time zone, we support talent through 10 global hubs — Australia, Costa Rica, Cyprus, Czechia, Estonia, France, India, Ireland, Japan, and the United States — offering flexible ways of working that include remote work, hybrid environments, and co-working spaces across many locations. While flexibility looks different across teams and regions, employees located near certain hubs — particularly in Prague (CZ), Nicosia (CY), Bangalore (IN), and Rennes (FR) — are generally expected to collaborate in person around 2–3 days per week, balancing the flexibility of distributed work with opportunities for in-person collaboration and connection. Our persona 💡  Smart: We love what we do, and we’re great at it because this is our domain. Our combined knowledge in this space is unmatched. 💚  Dedicated: We get up every day focused on helping our customers win. We’re committed to helping our teammates win, too! 🤗  Approachable: We're friendly, easy to get along with, considerate, and helpful. Our culture and Values 🤩 Customer-Focused We care about our customers. We understand the customer journey, experience, and value derived from Wrike. Decision-making and action-taking are done with the customer in mind. 🤝 Collaborative We work as one and win together, each bringing unique strengths that contribute to diversity of thought for better outcomes. Leveraging our own work management platform, we foster an environment of creative collaboration and shared achievement. 🎨 Creative We strive to succeed through continuous innovation. It’s our pursuit of novel concepts that helped us create a market category. We continue to cultivate a workplace that fosters creative thinking as a means of transcending conventional boundaries and empowers us to break new ground to deliver extraordinary work management solutions. 💪 Committed We believe in ownership at all levels of the organization, by owning workflows from start to finish. Each member of our team is an integral part of this commitment, establishing work as a platform for personal growth and transformation, as well as collective success and growth. Check out our LinkedIn Life Page , Company culture page , Instagram , Wrike Engineering Team , Medium , Meetup.com , Youtube for a feel for what life is like at Wrike.

We are seeking Patient Support Specialists (PSS) who are the first point of contact for patients in our virtual clinic and play a critical role in ensuring smooth, timely, and high-quality care delivery. Serve as the central coordinator for multiple care teams at once, ensuring patients are connected with the right clinician at the right time.

Location: Indonesia; Nigeria; Turkey; United States About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Role We are looking for experienced Application Security Engineers and Security-Focused Software Engineers to support a specialized AI security evaluation project. In this role, you will assess how effectively static analysis tools identify security vulnerabilities in Generative AI applications, particularly LLM agents and Retrieval-Augmented Generation (RAG) systems. You will build small, runnable repositories containing realistic examples of Sensitive Information Disclosure (SID) and Excessive Agency (EA) vulnerabilities, alongside fixed and near-miss versions. You will analyze code paths, identify security weaknesses, define authorization contexts, develop deterministic tests, and document findings. Your work will help improve the reliability of security tools and strengthen how AI systems are evaluated for application-level vulnerabilities. LOCATION: Remote EXPERIENCE: 5+ years in application/product security or security-focused software engineering PROJECT: GenAI application security evaluation and AI training TECHNICAL FOCUS: Python, TypeScript, SAST, CodeQL, Semgrep, LLM agents, RAG, and MCP AI EXPERIENCE: Hands-on experience building LLM agents or RAG applications is required. Key Responsibilities Build runnable agent and RAG repositories containing code-reachable Sensitive Information Disclosure and Excessive Agency vulnerabilities. Develop realistic security scenarios involving tool calling, agent memory, Model Context Protocol (MCP), and other LLM application components. Create vulnerable, fixed, and hard-negative code variants with minimal security-relevant differences. Evaluate static application security testing (SAST) tools and assess their ability to detect genuine vulnerabilities while avoiding false positives. Perform source-to-sink analysis and trace relevant data flows, action paths, and trust boundaries. Annotate security findings, including affected assets, root causes, controls, severity, and residual risk. Define authorization contexts covering actors, tenants, identities, permitted data, actions, purposes, and recipients. Develop deterministic tests to validate vulnerable, fixed, and negative security behaviors. Recommend appropriate security controls and remediation approaches. Participate in technical calibration, peer reviews, and quality assurance activities. Requirements 5+ years of professional experience in application security, product security, or security-focused software engineering. Strong experience conducting secure code reviews and identifying application-level vulnerabilities. Practical knowledge of source-to-sink analysis, taint analysis, and static application security testing (SAST). Hands-on experience with security analysis tools such as CodeQL or Semgrep. Experience building or securing LLM agents and/or Retrieval-Augmented Generation (RAG) applications. Familiarity with frameworks and technologies such as LangChain, LlamaIndex, OpenAI or Anthropic SDKs, and Model Context Protocol (MCP). Strong understanding of authorization models, including: Actors, identities, and trust boundaries. Multi-tenant authorization and access control. OAuth, IAM, and identity management. Permitted data access and actions. Purpose and recipient restrictions. Document-level access control. Production-level coding experience in Python and/or TypeScript. Ability to distinguish genuine Sensitive Information Disclosure and Excessive Agency vulnerabilities from non-findings and false positives. Strong analytical skills and the ability to communicate technical security findings clearly.

Location: Bangladesh; Brazil; Colombia; Egypt; Ghana; India About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Role We are looking for experienced Application Security Engineers and Security-Focused Software Engineers to support a specialized AI security evaluation project. In this role, you will assess how effectively static analysis tools identify security vulnerabilities in Generative AI applications, particularly LLM agents and Retrieval-Augmented Generation (RAG) systems. You will build small, runnable repositories containing realistic examples of Sensitive Information Disclosure (SID) and Excessive Agency (EA) vulnerabilities, alongside fixed and near-miss versions. You will analyze code paths, identify security weaknesses, define authorization contexts, develop deterministic tests, and document findings. Your work will help improve the reliability of security tools and strengthen how AI systems are evaluated for application-level vulnerabilities. LOCATION: Remote EXPERIENCE: 5+ years in application/product security or security-focused software engineering PROJECT: GenAI application security evaluation and AI training TECHNICAL FOCUS: Python, TypeScript, SAST, CodeQL, Semgrep, LLM agents, RAG, and MCP AI EXPERIENCE: Hands-on experience building LLM agents or RAG applications is required. Key Responsibilities Build runnable agent and RAG repositories containing code-reachable Sensitive Information Disclosure and Excessive Agency vulnerabilities. Develop realistic security scenarios involving tool calling, agent memory, Model Context Protocol (MCP), and other LLM application components. Create vulnerable, fixed, and hard-negative code variants with minimal security-relevant differences. Evaluate static application security testing (SAST) tools and assess their ability to detect genuine vulnerabilities while avoiding false positives. Perform source-to-sink analysis and trace relevant data flows, action paths, and trust boundaries. Annotate security findings, including affected assets, root causes, controls, severity, and residual risk. Define authorization contexts covering actors, tenants, identities, permitted data, actions, purposes, and recipients. Develop deterministic tests to validate vulnerable, fixed, and negative security behaviors. Recommend appropriate security controls and remediation approaches. Participate in technical calibration, peer reviews, and quality assurance activities. Requirements 5+ years of professional experience in application security, product security, or security-focused software engineering. Strong experience conducting secure code reviews and identifying application-level vulnerabilities. Practical knowledge of source-to-sink analysis, taint analysis, and static application security testing (SAST). Hands-on experience with security analysis tools such as CodeQL or Semgrep. Experience building or securing LLM agents and/or Retrieval-Augmented Generation (RAG) applications. Familiarity with frameworks and technologies such as LangChain, LlamaIndex, OpenAI or Anthropic SDKs, and Model Context Protocol (MCP). Strong understanding of authorization models, including: Actors, identities, and trust boundaries. Multi-tenant authorization and access control. OAuth, IAM, and identity management. Permitted data access and actions. Purpose and recipient restrictions. Document-level access control. Production-level coding experience in Python and/or TypeScript. Ability to distinguish genuine Sensitive Information Disclosure and Excessive Agency vulnerabilities from non-findings and false positives. Strong analytical skills and the ability to communicate technical security findings clearly.

Location: Brazil Paired is a global staffing and recruiting agency that pairs remote work with top-tier talent. We admire the importance of innovative social media strategies and are committed to connecting talented individuals with great companies that need their unique skills. Our mission is to provide great jobs to gifted people, regardless of location. About the Client Our client is a lean, founder-led mobile app studio building and growing multiple apps. The team consists of four co-founders and a small group of contractors, with a hands-on approach to running the business. They are looking to bring on an experienced Mobile App Media Buyer to take ownership of paid acquisition across two apps, currently generating approximately $50K in combined monthly ad spend. This is an opportunity to work directly with the founders, operate with significant autonomy, and make a meaningful impact on the growth of their apps. About the Role We are looking for a hands-on Mobile App Media Buyer to manage paid acquisition campaigns across two mobile apps within a growing app studio. The role will take full ownership of two Meta ad accounts currently generating approximately $50K in combined monthly ad spend. You'll be responsible for managing campaign performance, optimizing acquisition efforts, testing new strategies, and making data-driven decisions to drive growth. This is an opportunity for an experienced media buyer who enjoys working independently, taking initiative, and owning campaign performance without constant oversight. You'll work closely with the founding team while having the autonomy to manage campaigns and make day-to-day decisions. Responsibilities Manage and optimize Meta advertising campaigns across two mobile app accounts. Monitor campaign performance, budgets, and key acquisition metrics to ensure campaigns meet growth objectives. Develop and execute campaign strategies, including audience testing, creative testing, budget allocation, and scaling. Analyze campaign data to identify opportunities for improvement and make informed optimization decisions. Troubleshoot performance fluctuations and proactively identify solutions to campaign challenges. Test new creatives, audiences, and campaign structures to improve acquisition efficiency. Manage approximately $50K in combined monthly ad spend across both apps. Maintain clear communication with the founding team, sharing performance updates, insights, and recommendations. Take ownership of campaign execution and continuously improve performance through experimentation and data analysis. Requirements 3+ years of hands-on experience managing paid advertising campaigns for mobile apps. Proven track record managing and optimizing Meta Ads campaigns with measurable results. Experience managing small-to-medium-sized advertising budgets and multiple ad accounts. Strong understanding of campaign structures, audience targeting, creative testing, optimization, and scaling. Ability to analyze campaign performance metrics and translate insights into actionable decisions. Strong analytical skills and data-driven decision-making. Highly autonomous, proactive, and comfortable taking full ownership of campaign performance. Ability to troubleshoot campaign issues independently and make decisions without constant guidance. Strong communication skills and ability to work directly with founders. Availability to work full-time remotely with some overlap with U.S. working hours. Benefits Performance bonus available Potential total monthly earnings: approximately $5,000–$6,000, depending on performance and the bonus structure agreed upon.

Location: Remote About the Team Netlify's Finance team builds the financial foundation that helps the company plan, operate, and make informed decisions. The team owns our operating model, management reporting, budgeting and planning, and the company-level metrics leadership uses to understand performance and make tradeoffs. As Senior Finance Manager, you'll own the corporate finance cycle and decide what it should become. That covers monthly reporting, the driver-based forecast, annual planning, scenario work, and the KPI layer, and it extends past running them well into bringing your experience to improve and innovate on our processes. This is a hands-on role with real latitude: you will work directly with senior leadership on capital, pricing, and headcount decisions, and will leverage AI to build better tooling and make Finance faster and less dependent on manual work. What You'll Do Own the corporate finance cycle end to end, including the monthly reporting package, the driver-based forecast, annual planning, and scenario analysis, and redesign the parts that no longer hold up as we scale Frame which scenarios are worth running ahead of capital, pricing, and headcount decisions, and bring a recommendation rather than a set of outputs Lead the annual planning process across departments, from calendar and templates through consolidation and board-ready output Lead cross-functional alignment on metric definitions, reporting dimensions and financial data hygiene Own the company-level KPI and metrics layer, decide what leadership measures as the business evolves, and carry a view on the trends driving each metric Drive market and competitor research to support pricing and packaging, capital allocation, and improve financial forecasting Communicate complex financial mechanics to people outside finance, and drive cross-functional decisions and leadership buy-in Set how budget management runs across departments, including the cadence and what a department leader is accountable for, rather than tracking it on their behalf Be a thought leader steering the finance function's AI operating standard and build the systems and agents to support it Partner with Sales leadership on capacity model and KPI tracking What You'll Bring 7+ years in FP&A or strategic finance, including several years at a SaaS or usage-based business. An investment banking, consulting or private equity background preferred; but strong modeling skills, ability to develop frameworks to solve complex problems and ability to run scenarios is a must Multiple annual planning cycles owned end to end A history of building 3-statement models from scratch, with scenario and sensitivity analysis, and of making structural changes to a model rather than only updating inputs Strong working knowledge of US GAAP and core accounting principles Advanced Google Sheets or Excel, and comfort with large datasets and formula-heavy models Comfort framing abstract business problems and creating frameworks to address them Deep system-level understanding of how financial data moves across source systems, the warehouse, and the planning and reporting layer Deep command of SaaS metrics and their drivers, with a point of view on which ones actually matter at our stage Working knowledge of SQL Hands-on experience building AI workflows other teams adopt, and a clear view on where the human checks belongs Experience presenting analysis and recommendations to executive staff, and a track record of driving org level impact Deep curiosity about our business, product, customers, competitors and industry trends This Role Is a Great Fit If You want to own a function, not contribute to one. The corporate finance cycle would be yours to run and to redesign. You're comfortable being the only person on this work. There is no junior analyst supporting the role and no plan to add one. You will build it and run it yourself. You’re deeply curious about industry. You keep up to date with industry trends, research the competitive landscape, and you turn that into a recommendation rather than an observation. You notice when something is slower or more manual than it needs to be, and you fix it without being asked. You're excited to build. The tooling, the reporting layer, and the automation work are all genuinely open, and there is room to make this function structurally better. Our applications will close on Friday, November 13th at 5pm CST Applying Not sure you meet 100% of our qualifications? Please apply anyway! When applying please include: A resume or short listing of your job history & skills (link to a LinkedIn profile would be fine). We appreciate a cover letter explaining why you would enjoy working in this role at Netlify to get to know you a bit better, though this is not required and will not impact your application. Our mission is to "build a better web" and that cannot be done without a diversity of skill sets, backgrounds and thoughts. Of everything we've ever built at Netlify, we are most proud of our team. Netlify is an Equal Opportunity Employer. We are devoted to building a team of people with diverse backgrounds and lifestyles. Driving equality empowers our team, enables us to innovate, and helps us maintain a more inclusive environment. We don't discriminate against employees or applicants based on gender identity or expression, sexual orientation, religion, age, race, military/veteran status, citizenship, pregnancy status, or any other differences. If we can do anything to provide a better interview, i.e. accommodate a disability, then please let us know by emailing accommodations@netlify.com . About Netlify Netlify is the most popular way to build, deploy, and scale modern web applications, empowering everyone from fast moving solo developers to enterprise teams. Millions of developers and organizations rely on Netlify as their platform of choice for composing web applications that are production ready, performant, and flexible. Now, as we embrace the next era of software development, we are embedding the same fluid, intuitive experience into the Agent Experience (AX), making it just as simple for intelligent agents to understand, interact with, and act on our platform as it is for developers. Whether your user is human or machine, Netlify ensures the path from idea to URL is seamless, fast, and deeply reliable. We are a Series D company that has raised over $200M from investors such as Andreessen Horowitz, Kleiner Perkins, EQT, Bessemer, BOND, and Menlo Ventures. As a fully distributed company, we aim to create a company culture where the best idea can come from anywhere and strive to be thoughtful, compassionate, and collaborative in our work. If this sounds like something you'd like to be part of, we're excited to connect with you! At Netlify, we are committed to a compensation philosophy that prioritizes fairness and equity, positions our employee compensation competitively in the market, recognizes and rewards performance, and takes a comprehensive approach to our rewards package. We anchor our compensation philosophy on a market-based approach, therefore salary ranges may differ depending on the labor cost in a particular location. The salary provided is in addition to robust benefits and participation in Netlify's equity plan. Our hiring range for this role is targeted at $150,000 - $208,000 for most US-based locations. Candidates outside the US or in premium markets should consult with their Talent Acquisition partner regarding location-based ranges, as they may be higher or lower than the average US range listed. The starting pay will be determined based on multiple factors, including expertise and skills, market demands, experience, internal equity, and applicable geographic location. These compensation packages and ranges are subject to change and may be modified in the future.

Designs and develops engaging, accessible, learner-centered learning solutions that support enterprise education, organizational initiatives, knowledge transfer, and performance. Conducts learning and performance analyses to identify audience needs, desired performance, root causes, skill gaps, and appropriate learning or performance-support solutions.

Location: Singapore Office Workplace: Hybrid The Deal Desk function partners across Chainalysis to help teams structure and execute complex commercial deals. For APAC, this role will provide dedicated regional coverage across markets including ASEAN, Korea, Japan and Australia, helping Sales teams get timely support in their time zone. Combining commercial judgment with analytical rigor, the team develops solutions that meet customer needs while aligning with Chainalysis’ pricing, product and contractual guidelines. Deal complexity is increasing as the function provides more structuring guidance and the company evolves toward consumption-based pricing. You’ll join a growing, decentralized function and work closely with APAC Sales, Revenue Operations, Finance, Legal, Product, Marketing and other teams. You’ll receive support from colleagues in other regions as you ramp, then take increasing ownership of regional deal support and make well-reasoned decisions within established guardrails. In this role, you’ll: - Partner with APAC Sales to structure, price and quote complex deals, applying your understanding of our licensing, subscription and consumption based pricing models to recommend solutions that meet customer needs and align with company guidelines. - Review deal requests, analyze pricing and discounts, and present clear recommendations to business approvers. - Guide Sales through negotiations, contract objections, alternative deal structures and non-standard order-form requirements. - Work with Legal, Product, Finance, Revenue Operations and other teams to resolve complex commercial issues and support accurate forecasting and order booking. - Serve as a key point of contact for APAC Sales on pricing, quoting and exceptions to standard processes, providing timely support across regional time zones. - Help Sales leaders prioritize opportunities around month-end, quarter-end and year-end deadlines. - Apply sound commercial judgment and clearly explain recommendations, risks and trade-offs. - Troubleshoot complex quoting issues in Salesforce CPQ or similar systems, and share recurring deal insights with the team. - Identify and deliver improvements to workflows, documentation and system automation. - Build expertise in consumption-based pricing as Chainalysis’ commercial models evolve. We are looking for candidates who have/are: - Experience in the technology industry, ideally in RevOps, Sales Operations, Deal Desk, business partnering, order management or a related function supporting Sales teams. - Familiarity with SaaS subscription pricing and the ability to understand how commercial terms and pricing structures support customer needs and company objectives. - Experience with Salesforce CRM and Salesforce CPQ, or similar quoting systems. - Strong analytical skills, including pricing, discount and commercial analysis. - Strong judgment and communication skills, with the ability to influence stakeholders and manage competing priorities. - The ability to make and explain reasoned decisions at the appropriate level, without needing to escalate every issue. - Comfort working independently in a fast-paced environment with ambiguity, changing priorities and time-sensitive requests. - Strong organizational and workload-management skills, with the ability to prioritize based on risk and business needs. - A strategic, adaptable and growth-oriented mindset, with the potential to take on increasing ownership over time. - Proven ability to work effectively with stakeholders across APAC markets and different working styles. - Working with APAC teams or navigating regional differences in stakeholder needs and ways of working. - We value potential, strategic thinking and adaptability alongside relevant experience. Direct Deal Desk experience is helpful, but experience supporting Sales through RevOps, Sales Operations, business partnering or order management can also be relevant. Nice to have experience: - Supporting Sales teams with consumption-based pricing models. - Structuring or reviewing commercial deals, including basic deal-desk or order-management experience. - Supporting sales to crypto exchanges, fintech companies or payment providers. - Working with both SaaS and on-premise commercial models. - Developing pricing frameworks, approval processes or scalable Deal Desk operations. - Knowledge of revenue recognition principles, including GAAP and ASC 606. - Working with a consumption-based CPQ platform. - Partnering with IT or Business Systems teams on Salesforce enhancements and automation. - Experience in crypto or blockchain; this is a plus, not a requirement. Technologies we use: - Salesforce - Salesforce CPQ - Slack - Google Workspace - Microsoft Office AI at Chainalysis AI is not a feature at Chainalysis - it is a new way of working. One that turns instructions into work done, and helps us move faster than the threats we're built to counter, and we expect our employees to take ownership of the output and ensure quality. As the world's most trusted blockchain analytics platform, Chainalysis sits at a rare intersection of proprietary data, regulatory relationships and crypto expertise that makes it uniquely placed to shape and lead the next era of AI-driven intelligence - and we expect everyone here, regardless of role, to be an active part of it. AI fluency is tied directly to how we measure performance and how we plan to win. There is no substitute for your own curiosity. We provide the tools, workflows, and space to experiment - but the expectation is that you develop these capabilities yourself, bring ideas, and collaborate across teams to reinvent the way work gets done. We are not using AI to do less. We are using it to do what was never possible before. About Chainalysis Chainalysis is the blockchain data platform, making it easy to connect the movement of digital assets to real-world services. Powered by deep blockchain data and AI, organizations can investigate illicit activity, manage risk exposure, and develop innovative market solutions built on the industry's most trusted blockchain intelligence. Our mission is to build trust in blockchains, blending safety and security with an unwavering commitment to growth and innovation. You belong here.  At Chainalysis, we believe that diversity of experience and thought makes us stronger. With both customers and employees around the world, we are committed to ensuring our team reflects the unique communities around us. We’re ensuring we keep learning by committing to continually revisit and reevaluate our diversity culture. We encourage applicants across any race, ethnicity, gender/gender expression, age, spirituality, ability, experience and more. If you need any accommodations to make our interview process more accessible to you due to a disability, don't hesitate to let us know. You can learn more here https://go.chainalysis.com/rs/503-FAP-074/images/Interview%20Accommodations%20Request.pdf. We can’t wait to meet you.

Location: South Africa, Western Cape, South Africa About Turing Turing’s mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at www.turing.com . Role: Technical Recruiter Location: Cape Town, South Africa Experience Level: 7+ years of technical recruiting experience Work Arrangement: Remote, with working hours aligned to 9:00 AM to 5:00 PM U.S. Eastern Time Why Join Turing? Exceptional talent builds exceptional teams, and exceptional teams shape what Turing can achieve. As a Technical Recruiter, you will own searches from intake through successful start. You will source, assess, engage, and close exceptional talent while partnering closely with hiring managers and candidates throughout the process. Although the role is grounded in technical recruiting, you will support both technical and nontechnical hiring as business priorities evolve. You will also use AI, automation, data, and recruiting technology to improve quality, speed, and effectiveness. As a Technical Recruiter, You Will Own Full-Cycle Recruiting Independently manage assigned requisitions and candidates from intake through successful start. Build qualified pipelines through targeted research, talent mapping, personalized outreach, referrals, and professional networks. Maintain accountability for hiring outcomes, candidate progression, and timely requisition updates. Recruit Across Functions and Geographies Recruit for technical and nontechnical roles across multiple functions and geographic markets. Recruit senior technical roles across London, New York, Seattle, and other international markets. Build local market knowledge and adapt sourcing strategies to different talent pools. Partner With Hiring Managers Define role requirements, calibrate candidate profiles, establish sourcing strategies, and align on evaluation criteria. Provide informed recommendations on candidate qualifications, talent availability, compensation expectations, and hiring strategy. Build trusted relationships with hiring managers and serve as a thoughtful advisor throughout the search. Assess, Engage, and Close Candidates Evaluate candidate qualifications, experience, and role alignment using sound judgment and consistent standards. Coordinate structured interviews, timely feedback, and hiring decisions while proactively resolving obstacles. Develop closing strategies based on candidate motivations, competing opportunities, compensation expectations, and potential concerns. Improve Recruiting Operations Use approved AI, automation, and recruiting technologies while maintaining human judgment and candidate confidentiality. Identify improvements that reduce administrative work, accelerate candidate progression, and improve recruiting outcomes. Maintain accurate, complete, and timely requisition and candidate data in Greenhouse and other relevant systems. The Opportunity Own the outcome: You will be accountable for your searches from intake through successful start, not simply for completing individual recruiting tasks. Build trusted partnerships: You will work directly with hiring managers and candidates and influence hiring decisions through strong judgment and clear communication. Recruit across markets: You will identify and engage senior technical talent across North America, Europe, and other global markets. Raise the operating standard: You will help improve how Turing recruits through disciplined execution, better use of technology, and continuous process improvement. Our Technical Recruiters Typically Have Full-cycle recruiting experience: Seven or more years of experience independently sourcing, assessing, engaging, and closing candidates across the full recruiting lifecycle. Senior technical recruiting experience: A track record of recruiting senior technical roles, including software engineering, AI, data, infrastructure, or related disciplines. Global recruiting experience: Experience recruiting for roles in geographies outside your own, including North America and Europe. Market familiarity: Familiarity recruiting senior technical talent in markets such as London, New York, and Seattle. Talent intelligence: The ability to apply market insights to strengthen sourcing strategies, candidate assessments, compensation discussions, and hiring decisions. Candidate and stakeholder judgment: Strong communication, relationship-building, organization, and judgment across candidates, hiring managers, and cross-functional partners. AI-enabled execution: The ability to use approved AI tools, automation, data, and recruiting systems to improve recruiting quality, speed, and effectiveness. Candidates whose experience is limited to recruiting coordination, interview scheduling, or transactional sourcing without full-cycle ownership will not be a fit for this role. Top-Tier Candidates Will Have Experience recruiting senior technical talent in competitive markets such as London, New York, and Seattle. Experience recruiting across multiple international markets and adapting strategies to local talent pools. A track record of building passive candidate pipelines and closing candidates in competitive talent markets. Experience using AI, automation, recruiting analytics, or other technology to improve recruiting execution. Strong experience partnering with senior technical leaders on role definition, candidate calibration, and hiring strategy. Values We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value. We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection We are AI forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity. Advantages of joining Turing Work at the frontier of AI , helping the world’s leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks. Contribute to leading-edge AI research and showcase your work at top conferences such as ICLR, ICML, and NeurIPS. Bring frontier AI innovation to the enterprise , applying lessons learned from leading AI labs to solve real-world business challenges. Collaborate with and learn from exceptional colleagues with deep AI experience from Google, Meta, Amazon, and other leading technology companies. Move at the pace of AI innovation , with the speed, ownership, and impact of a startup. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace  and celebrate authenticity, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. For applicants from the European Union, please review Turing's GDPR notice here .

Location: Bengaluru, Karnataka, India; Chennai, Tamil Nadu, India About Turing Turing’s mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at www.turing.com . Role: Performance Marketing Analyst (Growth Analyst, Paid Acquisition) Team: Talent Marketplace Company: Turing Location: Bangalore, India Experience Level: 2–4 years of relevant experience Why Join Turing? Turing’s talent marketplace connects qualified professionals with hiring and contract opportunities across a wide range of roles, skills, and markets. As a Performance Marketing Analyst, you will help grow the talent marketplace by attracting qualified professionals. You will own campaign execution across Meta and Google Ads and work closely with marketplace operations, talent, creative, and analytics teams to turn advertising spend into qualified applicants and successful onboarding. As a Performance Marketing Analyst You Will Own Paid Acquisition Campaigns Plan, launch, manage, and optimize campaigns across Meta and Google Ads. Develop targeting strategies across audiences, geographies, job categories, and professional skill sets. Manage campaign setup, budgets, bidding, creative testing, and ongoing optimization. Translate Marketplace Demand Into Growth Plans Understand priority roles, talent requirements, and marketplace timelines. Build acquisition plans that reach relevant professionals when and where they are needed. Adjust campaign priorities as marketplace demand and business needs change. Optimize for Applicant Quality Track performance from ad click and application through qualification, selection, and onboarding. Improve cost per qualified applicant and cost per onboarded professional. Identify the audiences, messages, and channels that produce the strongest downstream outcomes. Run Experiments and Improve Conversion Test audiences, keywords, creative, messaging, landing pages, and bidding strategies. Partner with marketplace operations, creative, and analytics teams to improve application journeys and conversion rates. Evaluate additional channels such as TikTok, X, job advertising networks, and other relevant platforms. Measure and Communicate Performance Monitor spend, acquisition costs, conversion rates, and funnel performance. Use spreadsheets, campaign dashboards, GA4, Google Tag Manager, UTMs, and attribution data to evaluate results. Share clear recommendations on what is working, what needs to change, and where the next growth opportunity lies. The Opportunity Own meaningful growth: Your work will directly influence the flow of qualified professionals entering Turing’s talent marketplace. Connect marketing to outcomes: You will measure performance beyond clicks and applications, linking campaign spend to qualification, selection, onboarding, and marketplace outcomes. Work across the business: You will partner with marketplace operations, talent, creative, and analytics teams to solve real supply acquisition challenges. Build repeatable systems: You will develop campaign approaches that can scale across roles, markets, and professional audiences. Our Performance Marketing Analyst, Typically Have Hands-on paid acquisition experience: Two to four years of experience in performance marketing, paid acquisition, or advertising campaign management. Strong platform expertise: Direct experience managing both Meta Ads Manager and Google Ads, including campaign setup, targeting, budgets, bidding, testing, and optimization. Quality-focused performance management: A track record of improving acquisition efficiency and conversion quality, supported by specific campaign examples and measurable results. Analytical judgment: Strong analytical skills and comfort working with spreadsheets, campaign dashboards, funnel metrics, conversion tracking, UTMs, attribution, GA4, and Google Tag Manager. Operational ownership: The ability to manage multiple campaigns, respond quickly to changing priorities, and communicate clearly with marketplace operations, talent, creative, and analytics teams. Top-Tier Candidates Will Have Experience with TikTok Ads, X Ads, job advertising networks, or other acquisition channels. Experience in talent marketplace growth, job platforms, or high-volume lead generation. Experience running campaigns across multiple countries or for specialized professional audiences. Familiarity with advertising policies applicable to employment campaigns. Candidates whose experience is limited to campaign reporting or coordination without hands-on ownership of Meta and Google Ads will not be a fit for this role. Values We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value. We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection We are AI forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity. Advantages of joining Turing Work at the frontier of AI , helping the world’s leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks. Contribute to leading-edge AI research and showcase your work at top conferences such as ICLR, ICML, and NeurIPS. Bring frontier AI innovation to the enterprise , applying lessons learned from leading AI labs to solve real-world business challenges. Collaborate with and learn from exceptional colleagues with deep AI experience from Google, Meta, Amazon, and other leading technology companies. Move at the pace of AI innovation , with the speed, ownership, and impact of a startup. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace  and celebrate authenticity, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. For applicants from the European Union, please review Turing's GDPR notice here .

Location: Bengaluru, Karnataka, India About Turing Turing’s mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at www.turing.com . Role: Growth Analyst, Paid Acquisition Team: Talent Marketplace Company: Turing Location: Bangalore, India Experience Level: 2–4 years of relevant experience Why Join Turing? Turing’s talent marketplace connects qualified professionals with hiring and contract opportunities across a wide range of roles, skills, and markets. As a Growth Analyst, you will help grow the talent marketplace by attracting qualified professionals. You will own campaign execution across Meta and Google Ads and work closely with marketplace operations, talent, creative, and analytics teams to turn advertising spend into qualified applicants and successful onboarding. As a Growth Analyst You Will Own Paid Acquisition Campaigns Plan, launch, manage, and optimize campaigns across Meta and Google Ads. Develop targeting strategies across audiences, geographies, job categories, and professional skill sets. Manage campaign setup, budgets, bidding, creative testing, and ongoing optimization. Translate Marketplace Demand Into Growth Plans Understand priority roles, talent requirements, and marketplace timelines. Build acquisition plans that reach relevant professionals when and where they are needed. Adjust campaign priorities as marketplace demand and business needs change. Optimize for Applicant Quality Track performance from ad click and application through qualification, selection, and onboarding. Improve cost per qualified applicant and cost per onboarded professional. Identify the audiences, messages, and channels that produce the strongest downstream outcomes. Run Experiments and Improve Conversion Test audiences, keywords, creative, messaging, landing pages, and bidding strategies. Partner with marketplace operations, creative, and analytics teams to improve application journeys and conversion rates. Evaluate additional channels such as TikTok, X, job advertising networks, and other relevant platforms. Measure and Communicate Performance Monitor spend, acquisition costs, conversion rates, and funnel performance. Use spreadsheets, campaign dashboards, GA4, Google Tag Manager, UTMs, and attribution data to evaluate results. Share clear recommendations on what is working, what needs to change, and where the next growth opportunity lies. The Opportunity Own meaningful growth: Your work will directly influence the flow of qualified professionals entering Turing’s talent marketplace. Connect marketing to outcomes: You will measure performance beyond clicks and applications, linking campaign spend to qualification, selection, onboarding, and marketplace outcomes. Work across the business: You will partner with marketplace operations, talent, creative, and analytics teams to solve real supply acquisition challenges. Build repeatable systems: You will develop campaign approaches that can scale across roles, markets, and professional audiences. Our Growth Analysts Typically Have Hands-on paid acquisition experience: Two to four years of experience in performance marketing, paid acquisition, or advertising campaign management. Strong platform expertise: Direct experience managing both Meta Ads Manager and Google Ads, including campaign setup, targeting, budgets, bidding, testing, and optimization. Quality-focused performance management: A track record of improving acquisition efficiency and conversion quality, supported by specific campaign examples and measurable results. Analytical judgment: Strong analytical skills and comfort working with spreadsheets, campaign dashboards, funnel metrics, conversion tracking, UTMs, attribution, GA4, and Google Tag Manager. Operational ownership: The ability to manage multiple campaigns, respond quickly to changing priorities, and communicate clearly with marketplace operations, talent, creative, and analytics teams. Top-Tier Candidates Will Have Experience with TikTok Ads, X Ads, job advertising networks, or other acquisition channels. Experience in talent marketplace growth, job platforms, or high-volume lead generation. Experience running campaigns across multiple countries or for specialized professional audiences. Familiarity with advertising policies applicable to employment campaigns. Candidates whose experience is limited to campaign reporting or coordination without hands-on ownership of Meta and Google Ads will not be a fit for this role. Values We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value. We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection We are AI forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity. Advantages of joining Turing Work at the frontier of AI , helping the world’s leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks. Contribute to leading-edge AI research and showcase your work at top conferences such as ICLR, ICML, and NeurIPS. Bring frontier AI innovation to the enterprise , applying lessons learned from leading AI labs to solve real-world business challenges. Collaborate with and learn from exceptional colleagues with deep AI experience from Google, Meta, Amazon, and other leading technology companies. Move at the pace of AI innovation , with the speed, ownership, and impact of a startup. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace  and celebrate authenticity, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. For applicants from the European Union, please review Turing's GDPR notice here .

Location: Amsterdam, Netherlands; Remote - Europe About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role: In Token Factory analytics there is no split into product analysts, ML engineers and data engineers. Each person owns a question end to end: builds the data, runs the analysis, and comes back with a recommendation that changes a decision. Your responsibilities will include: - Define core product and business metrics and build a single source of truth that Product, Finance, and Sales can rely on. - Build a comprehensive view of self-service customers, including usage patterns, customer health, satisfaction, retention risks, unmet needs, and growth opportunities. - Translate customer demand and commercial plans into capacity forecasts and support capacity allocation decisions. - Measure effective capacity utilization and identify opportunities to improve the commercial value of available capacity. - Develop and evaluate pricing and packaging models, including guaranteed capacity, on-demand pricing, commitments, clawback mechanisms, and provisioned throughput units. - Provide data-driven recommendations for the self-service and managed offerings, including customer segmentation, pricing, and capacity. - Partner with Product, Engineering, Applied AI, Finance, and Sales to turn insights into concrete product and operational improvements. We expect you to have: - 5+ years of experience in analytics or data science. - Strong Python, SQL, and statistics: you understand the code and the methods you use. - Hands-on experience analysing large-scale customer, product, and usage datasets using statistical / analytical or distributed data-processing tools. - AI-assisted coding as your default way of working: you guide it, verify it, and own the result. - The ability to go from a question to a production-ready solution. - The ability to turn complex data into clear recommendations. - Strong commercial and product judgment, with the ability to balance customer value, monetization, growth, and profitability. - Experience with pricing, packaging, monetization, or commercial analytics for technical or consumption-based products. - Strong cross-functional collaboration skills across Product, Engineering, Data, Finance, Sales, and Operations. - A hands-on and proactive working style, with the ability to operate effectively in an ambiguous and technically complex environment. Nice to have: - Familiarity with LLM inference economics: tokens, throughput and latency, batching, GPU costs. Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Ukraine; Spain; Serbia; Yerevan; Poland Workplace: remote Provectus is an AWS Premier Partner and an Anthropic Strategic Partner, working at the frontier of applied AI. We help enterprises turn Claude, agentic systems, and their own data into measurable business outcomes — through bespoke applications, managed services, and advisory engagements. With offices in North America, LATAM, and EMEA, we partner with clients worldwide. Our work centers on two verticals — Financial Services & Insurance and Healthcare & Life Sciences — where we deploy five pre-built AI Blueprints: Submission Flow, Portfolio Lens, Asset Flow, Revenue Flow, and Evidence Lens. Each Blueprint rebuilds a critical business process front to back, shipped from working code and tuned to a client's specific book, regulators, and operating posture. Our team holds 100+ AWS certifications, is Claude Code certified, and co-delivers Anthropic's Agentic SDLC program, Cowork Activation, and AI Blueprint engagements. Where this role sits You will work in a senior pod alongside an FDE, an FDX, and Senior AI Engineers — contributing to real delivery work while building toward independent ownership. Requirements: Mindset Proactive and self-directed; you push for clarity rather than waiting for a ticket. Excellent communication and problem-solving skills. Comfortable with some ambiguity, with support from senior team members as you take on more. B2+ English, comfortable collaborating across distributed, multicultural teams. Technical depth Hands-on experience building or contributing to RAG systems, ideally in a production or near-production setting. Solid engineering fundamentals; Python and/or TypeScript proficiency. Productive in an unfamiliar codebase with some ramp-up support. Practical AWS experience (Lambda, S3, ECS, or similar); ready to grow into Bedrock and Bedrock AgentCore . Some experience with containers and CI/CD in real projects. Exposure to evaluating non-deterministic systems — you've contributed to or run test/eval cycles, even if you haven't owned a full eval suite end-to-end. Basic working knowledge of model/agent monitoring concepts. Awareness of cost and latency trade-offs when working with LLMs. Some hands-on exposure to the Claude ecosystem (Claude Code, CLAUDE.md, hooks, skills files) is a plus, or strong ability to ramp up quickly. Practical experience with LLM APIs (Anthropic, AWS Bedrock, or OpenAI) in real projects. 2+ years of software or ML engineering experience, including some exposure to production systems. Solid AI/ML foundations — you understand what the models do well enough to reason about common failure modes. Nice to Have: Experience in one of the industries: financial services, insurance, healthcare. Consulting, professional services, or other embedded customer-facing delivery. AWS and Claude Code Certifications (or actively pursuing them). A2A: Interest in agent-to-agent interoperability concepts. CI/CD pipeline experience (GitHub Actions, GitLab CI). Practical experience with one or more use cases from the following: NLP, LLMs, and Recommendation engines. Experience in an additional language (Go, TypeScript, or Rust). Experience with Apache Spark, Apache Airflow, Kafkа. Experience with the Claude ecosystem —  Claude Code, CLAUDE.md, hooks, skills files.  Spec-driven development — writing the intent, constraints, and acceptance criteria before you let an agent build. MCP: you can say why an agent would prefer it to a REST integration, having authored a server is an additional  plus. Responsibilities: Build and contribute to RAG system components under senior guidance, with growing autonomy. Write tests and help build out evaluation harnesses for the features you work on. Write production code across the stack (AI, backend services, data pipelines) with code review support. Help integrate AI components into backend services and RESTful APIs. Support deployment of systems to AWS (containerized, CI/CD), taking on more of this independently over time. Contribute to documentation, runbooks, and client handover materials. Participate in technical discussions and architectural decisions, with an eye toward taking on more of this independently. Support model evaluation efforts and help investigate and improve failure modes. Take on increasing ownership of components and technical decisions as you grow in the role. What We Offer: The chance to shape how leading enterprises across LATAM, Europe, and North America adopt AI, from strategy through first deployment A forward-deployed model working in small, senior teams alongside FDE and FDX A growing AI delivery practice where you help build the tooling and frameworks, not just use them Remote-friendly culture Internal training programs with full support for Claude, AWS, and other professional certifications, conference attendance Career growth; we actively develop our engineers Access to the latest AI tools and premium subscriptions Long-term B2B collaboration Private medical insurance or a budget for your medical needs Paid sick leave, vacation, and public holidays Equipment and all the tech you need for comfortable, productive work How we hire: Intro conversation. The role, your background and aspirations, tech questions. Technical interview with live engineering sessions. Real problems, your own editor, you may use an LLM assistant HR Interview. Soft skills and expectations HM interview. Tech questions; a live engineering session is also possible

Location: New York Workplace: Hybrid Category Labs (formerly known as Monad Labs) is a team of systems engineers and researchers on a mission to design and build at the frontier of decentralized technology. We strive to deliver significant improvements over existing blockchain solutions. After raising $225M in Series A funding, led by Paradigm, we are growing our team. We’re the team behind Monad, a high-performance, EVM-compatible Layer 1. We write the core software that runs it: a parallel-execution EVM https://github.com/category-labs/monad, a custom state database, and a BFT consensus client https://github.com/category-labs/monad-bft, all developed in the open. THE ROLE - We’re hiring Summer Research Interns to pursue advanced research in mechanism design, cryptoeconomics, distributed systems, programming languages, cryptography, and governance. This list isn’t exhaustive; if you bring a valuable and relevant perspective, we encourage you to apply. - This internship offers a rare chance to work at the frontier of decentralized systems: advancing the underlying science and technology while delivering real impact at scale. - Research projects will draw on the challenges of building a first-of-its-kind blockchain, as well as new directions that decentralized systems make possible. You’re also welcome to propose your own projects. - You’ll learn from Category Labs’ researchers, engineers, and fellow interns, while contributing as an independent and equal peer. - Depending on your availability and the needs of the project, the internship can be extended into part-time employment and may lead to future collaborations. WHAT YOU’LL DO - Conduct novel, rigorous research on the topics above. - Contribute to technical publications, including peer-reviewed papers, blog posts, and white papers. - Partner with the engineering team to build prototypes, run simulations, and design experiments that test your models and assumptions. - Engage with team members and visiting researchers to refine ideas and share insights from your own work. Past interns have shipped real work (small sample): - A Private RPC for Public Blockchains https://www.category.xyz/blogs/a-private-rpc-for-public-blockchains: Introduced write-public ORAM, a new primitive for reading blockchain state without revealing what you read, and built an open-source private RPC that keeps up with Monad’s throughput. - Timing Games in Responsive Consensus Protocols https://arxiv.org/abs/2510.25144: Modeled why validators delay block proposals, and designed dynamic block rewards that make proposing promptly the winning strategy. - On the Geographic Incentives of Multiple Concurrent Proposers https://arxiv.org/abs/2609.33958: Proved how proposers choose where to locate in multi-proposer systems, and when that leads to co-location versus geographic diversity. WHO YOU ARE - You’re currently enrolled in a PhD program in computer science, economics, mathematics, the social sciences, or a related field. Exceptional master’s and undergraduate students will also be considered. - You’re passionate about decentralized systems and have enough foundational knowledge to hit the ground running. - You communicate clearly and can explain complex ideas in simple terms, making research accessible to a broader audience. - You have a clear research vision and the drive to pursue innovative ideas aligned with Category Labs’ mission. - You’re collaborative, self-motivated, and adaptable, eager to tackle hard problems and pick up new concepts quickly in a fast-paced environment. WHY WORK WITH US - Challenging problems: You’ll work on extremely challenging problems with massive impact. See our Blogs https://www.category.xyz/blogs and Publications & Talks https://www.category.xyz/papers-talks for a flavor of the problems we are solving in the real world. - Huge opportunity: The Ethereum Virtual Machine (EVM) standard is ubiquitous, but existing EVM-compatible chains are very slow. Monad’s core innovations offer developers the best of both worlds (portability and performance) and are a game-changer for mass user adoption in crypto. - The right team: You’ll be part of a small, exceptional team (engineers and researchers make up 90% of the team). - Open by default: Our core software is public on GitHub. - Culture: We’re a lean team working together to achieve very ambitious goals. We are united in our culture of collaboration, low ego, and high-quality output. As an early member of our team, you’ll help to shape our culture. - Compensation: You’ll receive competitive pay, plus housing support. - Resources and growth: We’re well-capitalized, with backing https://x.com/monad_xyz/status/1777687376136982767 from leading venture funds like Paradigm, Electric Capital, Greenoaks, Dragonfly, and Coinbase Ventures. We keep a lean team, and this is a rare opportunity to join. You’ll learn a lot and grow as our company scales. HOW WE USE AI We’re an AI-native team, and we expect researchers to use AI and adapt to the technology as it evolves. A few things we believe: - AI is leverage, not a crutch. You must stand behind the correctness and quality of your work (including writing and presentation) even if it was produced with the help of AI. - As part of the research process, you must understand the output from AI before sharing it with your collaborators. Any output that you were not able to review must be marked as such. INTERNSHIP DETAILS - The internship runs roughly 12 weeks, between May 17 and August 30. - Residency in New York City is strongly preferred but not required. - The anticipated rate for this role is $4,500 per week, plus a $500 per week housing stipend or corporate housing. Pay may vary based on experience and scope. APPLICATION AND TIMELINE Please include, in addition to the application below: - Resume/CV - Letters of recommendation (1-2 letters, optional but recommended). - Recommenders should email their letters of support to recruiting@category.xyz with the "[name of the applicant], Research Intern 2027" in the subject line. - For full consideration, please submit applications by December 7, 2026. VISA & WORK AUTHORIZATION - We welcome international applicants and will consider visa and work authorization support on a case-by-case basis. Please note your current status and location in your application so we can discuss options early.

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 We are looking for a hands-on Legal Specialist (Law Enforcement) to join our Litigation, Regulatory & Policy team at Anthropic. In this role, you will be a key player in building out our legal function and running how Anthropic responds to law enforcement and government requests for user data, while navigating the intricate regulatory landscape of the AI industry. We expect this role to flex beyond the law enforcement queue into legal operations to support the broader litigation, regulatory, and policy team. The successful candidate will be a strong team player, able to build positive relationships with colleagues and work collaboratively toward shared goals. Key responsibilities Own the end-to-end response to law enforcement and government requests for user data, from intake and validation through production and closeout, including subpoenas, court orders, search warrants, preservation letters, and emergency disclosure requests from domestic and foreign authorities Prepare and execute data productions: scoping, data retrieval, coordination with counsel, and eventual production Handle foreign and cross-border process, including MLATs and letters rogatory, and manage escalations across jurisdictions Handle civil third-party subpoenas and preservation demands Maintain expertise in where user data lives across Anthropic's product surfaces and operate the internal data retrieval tooling Run and improve the law enforcement response process and tooling Partner with Trust and Safety, Security, Privacy, and Engineering on requests that touch user accounts, investigations, or safety escalations Coordinate with outside counsel, alongside in-house counsel, on objections, challenges, and narrowing Produce recurring reporting on request volume, deadlines, and queue health, and support Anthropic's periodic transparency reporting on government requests Monitor legal developments in government access to user data and advise the team on their operational impact Support litigation and regulatory matters and stretch beyond core responsibilities as needed to support the legal team's objectives Minimum qualifications Experience in a legal operations, business/operations manager, or paralegal role in an in-house legal department, or similar experience Direct, front-line experience handling law enforcement or government requests for user data, including subpoenas, court orders, warrants, preservation letters, and emergency disclosure requests Working knowledge of the legal framework for law enforcement access to user data, including the Stored Communications Act and the mechanics of foreign and cross-border requests such as MLATs Excellent written and verbal communication skills, with the ability to work effectively with colleagues at all levels of the organization Demonstrated ability to exercise good judgment and maintain the highest standards of discretion and confidentiality when handling sensitive legal matters, including under time pressure Strong project management skills, including the ability to prioritize tasks, meet deadlines, and manage multiple projects simultaneously Experience owning an intake, queue, or docketing process end to end,  including deciding what gets escalated and maintaining rigorous tracking Comfort operating and improving the tooling a legal process runs on (trackers, spreadsheets, forms, aliases, and simple automations), with a willingness to make changes directly rather than route every change to someone else A proactive, solutions-oriented approach to identifying, recommending, and implementing process improvements within the legal department Preferred qualifications 5+ years of experience in legal operations, business/operations management, or a paralegal role in an in-house legal department 2+ years of experience at a high-growth technology company, with exposure to the legal challenges and opportunities presented by emerging technologies Experience building or scaling a law enforcement response process Experience managing legal intake process within a growing company Demonstrated ability to think critically and creatively, adapting to new challenges and finding practical solutions to complex legal issues Familiarity with legal project management software such as Asana, Trello, or Jira, and a willingness to learn and adopt new tools to streamline legal processes 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: $1 — $2 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: Singapore Workplace: Remote About the role Developers no longer build alone. They build alongside AI coding agents. Enterprises across Asia-Pacific want to make that shift without losing control of their code, data and infrastructure, and Coder gives them a secure, governed place to do it. We need someone to tell that story in the region: in rooms, on stages and across the table from the technical leaders at the accounts that matter. As Senior Regional Marketing Manager, APAC, you'll be the face of Coder marketing here, running the events, field, ABM and partner programs that turn that story into pipeline. You will be Coder’s first feet on the ground in APAC, so this role is both strategic, tactical and hands-on. You'll set the regional plan and run it yourself, from target accounts and events down to the swag. You will work closely with regional sales, partners, and the global marketing team, and have real say in where Coder invests in APAC, reporting to the Director of International Marketing. What you’ll do here - Own the APAC marketing plan end to end, from planning through execution and reporting, aligned to global strategy and regional sales priorities and agreed with the Director of International Marketing. - Run in-person events that people actually remember, from platform engineering roundtables and developer meetups to executive dinners and conference presence across the region, with the occasional webinar where it makes sense. - Lead ABM programs for high-priority APAC accounts, partnering closely with sales to turn target account lists into real conversations and pipeline. - Plan and execute field marketing across the region, including roadshows, customer and prospect programs, and sales-aligned campaigns with clear handoffs and timely follow-through. - Build and run partner marketing with strategic alliances, resellers, and channel partners, including co-branded campaigns and joint events. - Partner with global marketing teams to localize campaign content and messaging for APAC markets and buying cultures. - Recommend and manage how the APAC budget is spent across events, vendors, agencies, and sponsorships. - Measure regional performance across attendance, engagement, influenced pipeline, and sourced pipeline, and use it to decide what to do more or less of. - Keep projects organized, timelines moving, and chaos to a minimum across multiple markets and time zones. What we’re looking for - Must be located in Singapore. - 10+ years of regional or field marketing experience, preferably in B2B technology or developer-focused companies. - Experience launching or growing a company’s marketing presence in APAC from a small base, owning the region as the primary or only marketer across in-person events, field, ABM, and partner marketing. - Hands-on experience executing regional programs, including events, partner campaigns, and sales-aligned marketing motions. - Experience running account-based marketing programs, including target account planning, personalized campaign touchpoints, and sales coordination. - Experience building co-marketing programs with alliances, resellers, or channel partners. - Experience managing a regional budget and working with agencies, event vendors, and sponsorships. - Experience partnering closely with sales leadership to support pipeline goals and regional priorities. - Strong project management skills, with the ability to manage timelines, vendors, details, and cross-functional inputs across time zones. - Clear written and verbal communication skills, with the ability to keep stakeholders informed and aligned, including asynchronously. - Comfort managing many programs at once while staying organized, responsive, and detail-oriented. - Ability to travel 20% within the region. - Familiarity with project management tools such as Asana or similar systems. Bonus tacos if you have - Experience marketing to developers, platform engineering teams, DevOps teams, or technical buyers. - Experience with enterprise SaaS, cloud infrastructure, open-source, or developer tools. - Familiarity with marketing automation, CRM, or ABM platforms such as HubSpot, Salesforce, 6sense or HockeyStack. - Existing relationships with APAC cloud, SI, and channel partners, or with regional developer communities and event organizers. - Experience measuring field marketing performance across attendance, engagement, influenced pipeline, and sourced pipeline. - Experience supporting a company with an open source offering. - Fluency in one or more APAC languages in addition to English. Our tech stack You do not need to know every tool on day one, but familiarity with common go-to-market systems will help you ramp quickly. This role may work across tools such as Asana, Salesforce, marketing automation platforms, ABM platforms, event platforms, and shared content systems. ABOUT CODER Coder is the leading platform for AI development Infrastructure, enabling enterprises to securely run human and AI-driven development workflows in consistent, governed environments. Coder provides self-hosted, agent-ready workspaces that unify developer productivity and platform governance. With Coder, enterprises can confidently evolve from human-only development to AI-assisted and autonomous workflows, without sacrificing security, compliance, or performance. Learn more at coder.com http://coder.com. INTERVIEW PROCESS  We believe that the interview process should be transparent, consistent, and enjoyable. We value your time and hope to complete the interview process in two to four weeks, if schedules allow. Through your interviews, you will meet a mix of individual contributors, managers, and senior leaders. AI USE DURING THE INTERVIEW PROCESS As an AI company, Coder embraces the use of AI tools, and we want to be transparent about our expectations as you navigate our interview process. Not permitted: Using AI assistance during conversational interviews. Permitted: Using AI tooling for take-home assessments. Please flag where and to what extent it was used in your take-home. Your submission will not be penalized for using AI as long as it is done honestly. OUR USE OF AI IN HIRING We use AI tools to help manage our recruitment process efficiently and fairly. Specifically: - Ashby and Brainerr help us review inbound applications by surfacing candidates who best match the role requirements we've defined. This tool does not make hiring decisions; it helps our team prioritize which applications to review first. - Granola takes notes during our interview calls so our team can focus on the conversation with you. All hiring decisions are made by humans. Our team reviews applications, conducts interviews, and makes final selections. AI tools assist us but never replace human judgment, and these practices are conducted in compliance with applicable data protection, AI governance, and labor laws. Your data is not used to train AI models. In accordance with New York City Local Law 144, an independent bias audit has been conducted on "Automated Employment Decision Tools"; results are available for Ashby https://www.ashbyhq.com/downloadables/ashby-bias-audit-08-2024.pdf. If you're applying for a role at Coder and have questions about how we use AI in our process, or if you'd like to request information about the data we collect, please contact careers@coder.com.   CODER IS A PROUD EQUAL OPPORTUNITY EMPLOYER We are committed to providing equal employment opportunities to qualified applicants and do not discriminate on the basis of race, color, ancestry, religion, sex, pregnancy, gender, gender identity, gender expression, sexual orientation, national origin, age, marital status, genetic information, disability, protected veteran status or any other characteristic protected by federal, state, or local laws.

Location: Remote-US Workplace: Remote Phantom https://phantom.com is on a mission to connect the world to the freedom of open markets. Tens of millions of people all over the world use Phantom to access global markets that never close, including perpetuals, prediction markets, tokenized assets, stablecoins and memes. Phantom users are able to discover the markets that matter and the cultural moments that shape them, building conviction through real-time data and the verified performance of top traders. With self-custody and access to open networks at its core, Phantom lets them control their financial moves in the same app they use to safely store or spend money worldwide. Phantom has reached #1 in Google Play's finance category and consistently ranks in the top 50 apps across all categories. Check out our Forbes Fintech 50 https://www.forbes.com/sites/ninabambysheva/2026/02/23/inside-phantoms-battle-plan-to-win-the-crypto-fueled-superapp-war/ and CNBC and Statista's World's Top Fintech Companies 2026 https://www.cnbc.com/worlds-top-fintech-companies-2026/! We are around 180 people, fully remote, backed by a $150M Series C investment from a16z, Sequoia Capital and Paradigm. As a UX Researcher at Phantom, you will help us understand how people manage their money, discover opportunities, and trade with confidence. You will combine direct user understanding with behavioral data to build shared evidence that informs strategy, priorities, and execution across Product, Design, Engineering, Data Science, Marketing, Support, and leadership. The role sits within Design and partners across functions to prioritize important questions, communicate what findings mean for their work, and follow through on how insights are used. RESPONSIBILITIES - Partner with cross-functional teams to prioritize the questions that matter most, matching each study’s scope, method, and depth to the decision, available resources, and risk. - Lead discovery and evaluation across the product lifecycle: uncover unmet needs, test early concepts, and assess how shipped experiences work in people’s real contexts. - Partner with Data Science to connect user understanding with funnel and cohort analysis, experiments, and outcome measurement. - Translate research into clear insights and recommendations that inform cross-functional strategy, priorities, and product decisions. Use concise narratives, visual evidence, and working sessions to help teams and leadership understand implications, raise risks, and follow through from findings to action. - Bring Product, Design, and Engineering into the research process, and coach partners to run appropriate lightweight studies with a high quality bar. - Make research easy to engage with through clear paths for researcher-led work, coached self-service, and specialist support, backed by a well-maintained participant panel, reusable evidence, and practical tools. - Build a repeatable listening loop with Support, Marketing, and Data Science, combining direct research and targeted feedback to track changing needs across priority journeys and cohorts, while caring for participants and their information. QUALIFICATIONS - Significant experience leading product research end to end, with a portfolio showing your ownership and how your work changed product or business decisions. - Strong qualitative research craft and judgment about which methods fit which questions, including interviews, observation, concept testing, usability studies, and surveys. Balance speed and evidence quality according to the decision’s importance. - Sound analytical judgment, including the ability to partner with Data Science, interpret behavioral data, and explain sampling and evidence limitations. - Experience building or improving a research practice in an environment where you needed to prioritize, work independently, and help others learn. - Clear, direct, and kind communication, strong synthesis, and demonstrated ability to translate research into insights that inform decisions across functions. Explain implications for different audiences, challenge assumptions, surface risks, and build alignment through evidence. - Proactive ownership and sound judgment: make deliberate tradeoffs, deliver with urgency and quality, and move work forward when information is incomplete. - Curiosity about financial products and the ability to make complex or unfamiliar experiences understandable. Nice to have - Experience researching consumer fintech, investing, trading, payments, or crypto. - Experience recruiting across diverse markets or studying trust, risk, onboarding, and repeat use. - Familiarity with product analytics, SQL, or AI-assisted research workflows, supported by strong human judgment. Why Work With Us Phantom's journey to becoming a global trading app began with making crypto easier to use. Today, we’re building on that foundation to help people discover the markets that matter, make informed financial moves, and safely store or spend their money worldwide. Joining Phantom means helping shape that next chapter: building products that bring the freedom of open markets to more people.   - Build for global impact: Create products used by tens of millions of people, making innovative financial markets more accessible to users around the world. - Make complexity feel simple: Solve meaningful challenges across design, engineering, and user experience to make discovering markets and managing money seamless. - Put users in control: Help build a future where people have greater freedom over their assets and financial decisions, with security and self-custody at the foundation. Benefits (only available to full-time employees) - Competitive salary and equity - Comprehensive insurance (medical/dental/vision): base plan 100% covered - Flexible hours and a long-standing, supportive remote environment - Unlimited vacation: Take time when you need it (and we really mean it!) - 401(k) retirement plan - Wellness stipend - Weekly meal stipend - Learning & Development stipend - Remote / WFH set-up stipend We strongly encourage candidates of all backgrounds to apply. We believe that our work is stronger with a variety of perspectives, and we’re eager to further diversify our company. If you have a background that you feel would make an impact at Phantom, please consider applying. We’re committed to building an inclusive, supportive place for you to do the best work of your career. By submitting your resume and application materials, you acknowledge and agree that Phantom Technologies, Inc. ("Phantom") collects and processes your personal information (including application materials, interview records, and related data) to evaluate your candidacy. Phantom may use AI-powered tools and third-party service providers for transcription, note-taking, scheduling, and other administrative tasks. Phantom does not sell your information and your materials will be handled securely and in accordance with applicable data protection laws.