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Location: Remote (USA) Workplace: remote Arcadia is the most trusted healthcare platform powering outcomes. We transform complex healthcare data into trusted intelligence, helping providers, payers, and life sciences organizations act with clarity, make confident decisions, and achieve measurable clinical, operational, and financial outcomes. Built on a comprehensive data foundation spanning tens of millions of patient lives, Arcadia combines advanced analytics and responsible AI to surface meaningful insights, coordinate action, and improve performance at scale. Our approach to AI and automation is governed and transparent — designed to strengthen human expertise, not replace judgment or obscure responsibility. Hundreds of organizations rely on Arcadia to improve cost, quality, and outcomes. Backed by Nordic Capital, we continue to invest in our platform, AI capabilities, and people as we pursue our purpose: helping healthcare deliver better outcomes for every person, every community, and every generation. What You'll Be Doing Medicaid policy analysis Interpret state and federal Medicaid program rules, eligibility and aid-code structures, benefit and coverage design, and program guidance — translating them into precise, testable analytic logic (cohort definitions, code sets, exclusions, stratification criteria) and documenting the interpretation so decisions are auditable Advise senior customer leadership on what the data can and cannot support — whether a proposed definition is measurable, what the volumes look like, what a threshold does to caseload, cost, or provider capacity — and anticipate how policy changes (fee-for-service transitions, waivers, provider network rules) affect the data and the questions ahead Technical analytical delivery Turn ambiguous policy and operational questions into member and provider data marts, cohort and stratification logic, and registry extracts — in SQL (and Python where needed) on Foundry and Redshift/Athena Deliver them in the format the customer needs — dashboards, recurring reports, Excel, and leadership decks Root-cause data-quality issues — reconcile counts across sources, trace bad fields to the source, and agree definitions for undocumented fields and codes with the customer's data staff Customer presence and engagement Serve as the senior analytic voice for state program leadership, policy and data staff, prime contractors, and vendor partners — participating in recurring working sessions and translating between policy, operational, and technical audiences Set priorities, scope, and timelines with Customer Management, and hold real authority to push back on what is and isn't feasible or worth building Create client-facing materials — leadership summaries, detailed methodology decks, decision memos, technical explainers — tailored to audiences from highly technical data counterparts to policy and executive stakeholders What You'll Need To Have Working knowledge of how health programs and managed care plans work, and the ability to turn policy documents and program rules into analytic logic. Direct Medicaid or managed care plan experience is a plus Clinical code and claims fluency — ICD-10, CPT/HCPCS, and revenue codes to build clinical cohorts; claims, eligibility, and provider/NPI data (NPPES, enrollment files); and judgment about claims timing and completeness Hands-on, demonstrable fluency with AI coding and analysis tools (Claude Code, Cursor, or similar) as the core of how you work. Picking these tools up quickly and using them heavily is central to how you will onboard and how much you can deliver in this role. Be ready to show us what you have built with AI assistance, how fast you turn work around, and how you review and validate it Advanced SQL (CTEs, window functions, performance on large claims and eligibility tables) and data modeling, to a real engineering standard Hands-on experience building dashboards and reports in a BI tool (QuickSight, Power BI, Tableau) and Excel, plus executive-ready decks Direct customer-facing experience with senior stakeholders — comfortable scoping ambiguous requests, navigating competing priorities, and exercising sound analytical judgment about what to build and what the data can support, on short timelines and without close oversight A track record of leading an analytic program end to end for senior customer or executive audiences — setting your own priorities, and operating without a project manager or close direction Sound judgment with sensitive data and PHI What “Principal” means here This is the most senior analytic role on the Customer Insights team. It is expected that you can: Set your own priorities and make the call with incomplete information Act as the senior analytic voice with agency and partner leadership Raise the bar for the analysts around you — through standards, review, and example Don't need a project manager or close direction We are hiring for the combination of policy fluency, customer presence, and technical skill — we understand candidates may be strongest in one or two of these areas and will build the rest quickly, and speed of ramp matters more to us than any one credential. Tell us where you are strongest and how you have ramped before. Would Love For You To Have Direct experience with a state Medicaid agency, a Medicaid-serving prime contractor or consultancy, or a Medicaid managed care plan — California Medi-Cal experience is a real plus Familiarity with population health concepts: risk stratification, registries, care management, network adequacy, and access and equity analysis Experience with Python and dbt; familiarity with the AWS ecosystem and its analytics tools (e.g., Athena, Redshift, QuickSight); comfort with orchestration tooling, Jira, Confluence, and GitHub-based workflows Experience mentoring less experienced analysts Note: this list spans skills relevant to several facets of the role — we don't expect any given candidate to have all of them. Bring what you have; we'll talk through the rest during the interview process. What You'll Get Become a member of the talented, energized, diverse and purpose-driven Arcadian Community with decades of collective experience in population health, product development, and data science Employee driven programs and initiatives for personal and professional development A flexible, remote-friendly company with personality and heart Competitive Compensation, Amazing Benefits including Unlimited FTO The opportunity to: Be the senior analytic and policy voice on a high-visibility state Medicaid program serving millions of members, at a pivotal moment for the program Build the practice — the methodology standards, playbooks, and data assets a growing team will inherit — on problems where analytic choices directly shape which members get reached and how care is delivered and funded Protect Yourself If you have concerns about the authenticity of a job offer or recruitment-related communication claiming to be from Arcadia, verify it by calling us directly at (781) 202-3600 and selecting option 3. You can find more information at Arcadia Careers. In this role, you are responsible for following all security policies and procedures to protect all PHI under Arcadia's custodianship, as well as Arcadia intellectual property. For security-specific roles, the hiring manager defines any additional responsibilities. Arcadia does not discriminate based on race, color, sex (including pregnancy and related conditions, sexual orientation, or transgender status), national origin, religion, age (40 and older), equal pay, disability or genetic information (including family medical history or genetic tests or services), and retaliation for filing a charge, reasonably opposing discrimination, or participating in a discrimination lawsuit, investigation, or proceeding.

Location: United States of America What We Do: Cybercrime is growing, and more businesses are getting hit by threats that used to target only the biggest organizations. That pushes defenders like us to operate at the highest level, and it deepens our need for good people who want to make a meaningful impact. Founded in 2015 by former NSA cyber operators, Huntress is a remote-first team working to make enterprise-grade cybersecurity accessible to businesses of all sizes. We work closely with security teams and service providers protecting complex environments, often without the time or headcount to handle it all. That’s why we build our technology in-house and back it with a 24/7 human-led Security Operations Center (SOC). As a result, our platform is never disconnected from the experts who manage it, ensuring our customers' protection. Huntress now secures more than 6M endpoints and 16M identities worldwide. Those numbers keep growing because more businesses rely on us to help carry the load and operate with more confidence. Every day, you can see that commitment in how we stand with our customers and how we show up for each other. Reports to: Manager, Product Research Location: Remote US Compensation Range: $215,000.00 to $225,000.00  base plus bonus and equity What You’ll Do: Lead product research initiatives that develop and evaluate macOS security product strategies and technologies Identify and prototype new telemetry from Apple's Endpoint Security API and other macOS subsystems to expand prevention, hardening, and detection capabilities Reproduce and analyze macOS attacks through hands-on execution of attacker techniques, malware detonation, and vulnerability exploitation Reverse engineer macOS malware and Apple's own security frameworks (XProtect, XProtect Remediator, Gatekeeper, TCC) to identify coverage gaps and inform product direction Prototype and test new tools and methodologies for offensive operations against macOS endpoints, including EDR evasion and bypass research Build proof-of-concept implementations that demonstrate the feasibility of new capabilities Document research findings and collaborate with Detection Engineering on writing and tuning detectors Coordinate with Product and Engineering teams to integrate and operationalize solutions developed by Security teams Stand up ephemeral research environments and attacker infrastructure using cloud, VM, and container technologies Track Apple platform changes across beta and release cycles, and assess their impact on agent capability, telemetry, and detection coverage Identify and address gaps in macOS product coverage, including false positive and false negative investigations Develop internal and external technical documentation to educate customers and adjacent teams on macOS security risks and opportunities Mentor and teach across the team on macOS internals, malware analysis, and research methodology Promote Huntress' reputation through public speaking, CFPs, blogs, and media interaction What You Bring To The Team: Deep expertise in macOS system internals, including the security model, code signing and notarization, TCC, SIP, persistence, and the Mach-O file format Hands-on experience with Apple's Endpoint Security API and system extension development Authority on macOS security threats, attack techniques, and the current macOS malware landscape Familiarity with macOS fleet management (MDM, configuration profiles, mobileconfig deployment) Experience red teaming and performing attack emulation to bypass EDR on macOS Proficiency with Swift. Additional understanding of Go, Python, and/or Ruby is preferred. Experience with the MITRE ATT&CK matrix, Sigma, YARA, and Elasticsearch/Kibana Track record of building POCs and carrying research from concept through to a shipped product capability Experience leading data requirements work and tying it to cost/benefit analysis on collecting and storing only high-value telemetry Commitment to clear written documentation of research findings Comfortable reading Apple developer documentation, framework headers, and API references to answer undocumented questions An understanding of how SMBs utilize IT automation tools such as PSAs and RMMs is strongly preferred Bonus : Comfortable reverse engineering Mach-O binaries and scripted payloads using debuggers and a disassembler suite (Binary Ninja, IDA Pro, Hopper, or Ghidra) What We Offer: 100% remote work environment - since our founding in 2015 Generous paid time off policy, including vacation, sick time, and paid holidays 12 weeks of paid parental leave Highly competitive and comprehensive medical, dental, and vision benefits plans 401(k) with a 5% contribution regardless of employee contribution Life and Disability insurance plans Stock options for all full-time employees One-time $500 reimbursement for building/upgrading home office Annual allowance for education and professional development assistance $75 USD/month digital reimbursement Access to the BetterUp platform for coaching, personal, and professional growth Huntress is committed to creating a culture of inclusivity where every single member of our team is valued, has a voice, and is empowered to come to work every day just as they are. We do not discriminate based on race, ethnicity, color, ancestry, national origin, religion, sex, sexual orientation, gender identity, disability, veteran status, genetic information, marital status, or any other legally protected status. We do discriminate against hackers who try to exploit businesses of all sizes. Accommodations: If you require reasonable accommodation to complete this application, interview, or pre-employment testing or participate in the employee selection process, please direct your inquiries to accommodations@huntresslabs.com . Please note that non-accommodation requests to this inbox will not receive a response. Huntress uses artificial intelligence tools to assist in reviewing and evaluating job applications, including resume screening, skills assessment, and candidate matching and comparisons. These AI tools support our human recruiters in the initial review process, but do not make final hiring decisions without human involvement. By submitting your application, you acknowledge this use of AI in our recruitment process. Please review our Candidate Privacy Notice for more details on our practices and your data privacy rights. #BI-Remote

Location: United States, Austin, TX Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Data Engineer PlayStation's Infrastructure Business Operations team is looking for a Data Engineer to build the data foundation for understanding the cost, utilization, and economics of PlayStation’s global infrastructure. Our infrastructure spans data centers, compute, storage, networking, Kubernetes, public cloud, SaaS, and other technology services. You will work alongside our engineering, product, finance, FinOps, and operations teams to build a data platform that can connect these disparate data sources into a trusted view of how our infrastructure is used, what it costs, and ultimately how those costs contribute to the economics of our products. You will own the end-to-end implementation, starting with identifying the questions that matter, determining the data required to answer them, building the pipelines and models to make that data reliable and accessible, and finally turning it into insights that drive better decisions. What You’ll Do Build scalable data pipelines that ingest, transform, and combine physical infrastructure, engineering system, financial, and product data. Develop cost and allocation models that connect infrastructure consumption to workloads, services, features, and products. Partner with engineering teams to understand complex infrastructure and identify the telemetry and instrumentation needed to measure it. Analyze infrastructure cost, utilization, capacity, and unit economics to help drive key business decisions across all our teams. Create trusted metrics, datasets, dashboards, and analytical tools used by engineering, product, Finance, and leadership. Establish strong practices around data quality, testing, observability, documentation, and reproducibility. Explore new data sources and technologies that improve how we understand and operate our infrastructure. What We’re Looking For 3+ years in a similar role, focused on building production data pipelines, data models, and analytical systems. Advanced SQL skills and proficiency with Python or similar data-oriented programming languages. Experience with modern data platforms and tooling such as Snowflake, Databricks, dbt, and automated ETL/ELT pipelines. Strong analytical skills—you’re comfortable investigating the data yourself, challenging results, and translating findings into clear conclusions. Experience working with large, complex datasets across multiple systems and levels of granularity. Ability to translate ambiguous business and technical problems into measurable requirements and scalable data solutions. Experience and flexibility with current analytics and visualization tools. Familiarity with teams and engineering systems that utilize both on-prem and cloud infrastructure. Strong communication skills and the ability to work across global engineering, product, Finance, and business teams. Nice to Have Bachelor’s degree in computer science Experience with AWS, Google Cloud, or Azure billing and usage data. Experience with Kubernetes telemetry, networking, or data center operational data. Familiarity with infrastructure cost allocation, unit economics, capacity planning, forecasting, or FinOps. Experience connecting technical infrastructure consumption to product or business metrics. PlayStation isn't just the Best Place to Play - it's also the Best Place to Work. We've thrilled gamers since 1994 when we launched the original PlayStation. Today, we're recognized as a global leader in interactive and digital entertainment. The PlayStation brand falls under Sony Interactive Entertainment, a wholly owned subsidiary of Sony Corporation. Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to race, color, religion, gender, pregnancy, national origin, ancestry, citizenship, age, legally protected physical or mental disability, covered veteran status, status in the U.S. uniformed services, sexual orientation, marital status, genetic information or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. We sincerely appreciate the time and effort you spent in contacting us and we thank you for your interest in PlayStation. Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Location: Hamburg Workplace: Hybrid adjoe builds the technologies behind mobile apps growth and monetization. With our core product Playtime Arcade, we've become the global leader in rewarded advertising, an ad unit built on a simple premise: users earn real in-app rewards for engaging with new apps. The result is one of the most effective value exchanges in adtech, connecting advertisers and publishers with over 770 million users annually. Investigating 770 Million User Interactions Across a 100TB Data Lake When a platform serves 770 million users, every optimization from reward mechanics to SDK integrations needs to be grounded in data. The Rewarded Analytics team builds the internal dashboards, alerting systems, and data pipelines that monitor the user funnel, traffic engagement, and reward consistency. SQL and Python power deep-dive investigations and automated 100 terabyte-sized data analyses queried through Trino. Using Tableau as the main visualization tool, stakeholders have access to real-time insights on the product performance. Airflow orchestrates the pipelines that keep everything up to date. This team provides the data that turns questions into answers: every A/B experiment the product team runs, every anomaly a publisher flags, and every new SDK integration. These answers guide all the business decisions. Your Mission & Who We Are Looking For: - Data analyst with a strong technical foundation. You have 5+ years as a Data Analyst and work fluently in both SQL and Python, writing complex queries, big data optimizations, and analysis pipelines to support product and growth initiatives. - Master of experimentation and A/B testing. You have deep experience designing experiments, calculating sample sizes, managing variance reduction techniques, and analyzing A/B/n tests to ensure statistically sound business decisions. - Statistically grounded. You can reason confidently about core statistical concepts—hypothesis testing, confidence intervals, p-values, power analysis, and Bayesian vs. Frequentist approaches—and apply them to real-world product decisions. - Not a stranger to anomaly detection. You have experience working with anomaly detection algorithms and approaches like distribution analysis and cross-population comparison to monitor test guardrail metrics and identify unexpected shifts in experiment data. - You own the systems, not just your slice. You understand the end-to-end telemetry and feature flagging systems that power experimentation. You can speak to data flows, event tracking pipelines, architecture tradeoffs, and why things were built the way they were. - Automation-minded across the stack. You think beyond one-off test analyses and build automated experiment reporting dashboards, reusable analytical frameworks, and data visibility solutions. Experience with dbt, Airflow, or experiment platforms (e.g., Optimizely, GrowthBook) is a strong plus. - Collaborative and business-aware. You work closely with product managers, engineers, and growth leads to translate complex statistical results into clear, actionable recommendations that drive executive decision-making.   🌎 We welcome applications from talent worldwide and provide relocation support to Hamburg, Germany for those ready to join our team. What’s in It for You? At adjoe, you’re not here to just close JIRA tickets, you’re helping build the infrastructure behind one of the most impactful platforms in adtech. The systems you work on will reach hundreds of millions of users and power billions of decisions every day. - Go Big. Own projects with impact on 770M users and push adtech boundaries. - Move Fast. Ship solutions multiple times a day, learn from results, and keep momentum. - Be Direct. Solve problems openly and collaborate across teams. - Thrive Together. Grow with a diverse, global team of people from over 40 different countries that learn from each other. - Have Fun. Celebrate wins, enjoy daily victories, and bring your energy. We welcome applications from people who will contribute to the diversity of our company.

Location: Boston, MA Workplace: OnSite At WHOOP, we're on a mission to unlock and inspire performance for life. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives. Our wearable technology collects rich physiological data, providing members with actionable insights into their recovery, training, and sleep. We are seeking a Senior Applied ML Algorithm Engineer to develop and deploy signal processing algorithms and machine learning models that transform raw sensor data into accurate, reliable, and real-time physiological insights on WHOOP devices. In this hands-on role, you will own algorithm development from data analysis, model training, and Python prototyping through efficient C/C++ implementation, firmware integration, and production validation. Working closely with Data Science, Firmware, Hardware, and domain experts, you will deliver robust on-device algorithms that improve the member experience while meeting the power, memory, compute, and latency constraints of wearable hardware. RESPONSIBILITIES: - Design and develop algorithms that combine signal processing, feature extraction, and machine learning to derive meaningful physiological insights from wearable sensor data. - Analyze large-scale, noisy sensor datasets to train and evaluate models, identify performance gaps, and improve accuracy, robustness, and generalization across diverse members and real-world conditions. - Translate algorithm prototypes and trained models into production-ready C/C++ implementations, optimizing signal processing pipelines and on-device inference for accuracy, power, memory, compute, and latency. - Partner closely with Firmware and Hardware teams to integrate algorithms into production firmware, validate execution on target hardware, and resolve differences between prototype and embedded performance. - Define performance metrics and rigorous validation plans, combining offline evaluation, lab-based experiments, real-world data analysis, and on-device testing to assess algorithm accuracy, reliability, and efficiency. - Collaborate with Data Science, Software, Product, and domain experts to translate research findings into production-ready capabilities, investigate post-deployment performance gaps, and drive continuous algorithm improvement. QUALIFICATIONS: - 5+ years of experience developing signal processing and machine learning algorithms for time-series or sensor data in real-world applications. - MS or PhD in Electrical Engineering, Biomedical Engineering, Computer Science, or a related quantitative field, or equivalent practical experience. - Strong foundation in digital and statistical signal processing for noisy time-series data. Experience with physiological signals or wearable sensors is a plus. - Proficiency in Python for data analysis, model development, and experimentation, and C/C++ for implementing efficient algorithms in embedded firmware. - Experience developing, training, and evaluating machine learning models using frameworks such as TensorFlow, PyTorch, or scikit-learn. - Demonstrated experience deploying machine learning models to resource-constrained embedded systems, including optimization across accuracy, power, memory, compute, and latency. - Ability to independently investigate complex algorithmic problems, design rigorous validation experiments, and communicate technical tradeoffs with firmware, hardware, and data science partners. - Strong commitment to embracing and leveraging AI tools in day-to-day tasks, ensuring AI-assisted work aligns with the same high-quality standards as personal contributions. This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office. Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply. WHOOP is an Equal Opportunity Employer and participates in E-Verify to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Location: Boston, MA Workplace: OnSite At WHOOP, we're on a mission to unlock and inspire performance for life. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives. Our wearable technology collects rich physiological data, providing members with actionable insights into their recovery, training, and sleep. We are seeking a Senior Signal Processing Engineer to develop and deploy algorithms for physiological sensors including optical sensor and inertial measurement unit (IMU) data into accurate, reliable, and real-time insights on WHOOP devices. This hands-on role centers on digital and statistical signal processing, sensor fusion, and model-based state estimation, with a particular focus on accelerometer and gyroscope data. You will own algorithm development from sensor characterization, mathematical modeling, and Python prototyping through efficient C/C++ implementation, firmware integration, and production validation. Working closely with Firmware, Hardware, Data Science, and Product, you will deliver robust on-device algorithms that perform reliably across diverse members and real-world conditions while meeting the constraints of wearable hardware. RESPONSIBILITIES - Design and develop real-time signal processing and sensor fusion algorithms that combine Sensor measurements inputs to characterize motion and deliver reliable member-facing insights. - Develop and tune model-based estimators for orientation and motion, including sensor bias estimation, uncertainty propagation, and drift mitigation under changing movement and sensing conditions. - Build robust IMU processing pipelines, including filtering, calibration, time synchronization, resampling, coordinate transformations, and compensation for sensor noise and systematic errors. - Analyze large-scale, noisy wearable datasets to identify failure modes and improve robustness across motion patterns, device orientation, fit, and individual movement characteristics. - Translate algorithm prototypes into production-ready C/C++ implementations, balancing accuracy with power, memory, compute, numerical stability, and latency. - Partner with Firmware and Hardware teams on sensor configuration, sampling strategies, and on-device integration; investigate differences between prototype behavior and performance on target hardware. - Define performance metrics and rigorous validation plans using reference measurements, controlled experiments, real-world data, and on-device testing to assess accuracy, robustness, and long-duration stability. - Own technical decisions for complex algorithm components, contribute to design and code reviews, mentor teammates, and collaborate across functions to investigate post-deployment issues and drive continuous improvement. QUALIFICATIONS - 5+ years of experience developing and deploying signal processing, sensor fusion, or state-estimation algorithms for real-world sensor applications, including substantial hands-on work with IMU data. - MS or PhD in Electrical Engineering, Biomedical Engineering, Computer Science, Applied Mathematics, or a related quantitative field, or equivalent practical experience. - Strong foundation in digital and statistical signal processing, including filtering, spectral analysis, stochastic processes, and sensor noise characterization. - Demonstrated experience with accelerometer and gyroscope processing, IMU calibration, sensor error modeling, bias estimation, and drift management. - Strong experience with Kalman filtering, including extended or error-state formulations, and model-based sensor fusion; practical understanding of nonlinear estimation, uncertainty propagation, and estimator failure modes. - Practical knowledge of 3D motion and orientation representations, including coordinate frames, rotation matrices, quaternions, and rigid-body kinematics. - Proficiency in Python for algorithm development, data analysis, and experimentation, and C/C++ for efficient embedded implementation; demonstrated experience deploying algorithms to resource-constrained hardware. - Ability to independently investigate complex algorithmic problems, design rigorous validation experiments, and communicate technical tradeoffs with firmware, hardware, and cross-functional partners. - Experience with body-worn sensors, human-motion modeling, motion segmentation, or periodicity analysis is highly desirable. This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office. Interested in the role, but don't meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply. WHOOP is an Equal Opportunity Employer and participates in E-Verify to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Location: UAE - Dubai; Portugal; UK; Poland; Bulgaria Workplace: hybrid 1inch is the DeFi ecosystem building financial freedom for everyone. 1inch products help users and builders trade, hold and track digital assets - with the self-custody, comprehensive security and the intuitive user experience they need to unlock the potential of true crypto ownership. 1inch protocols and APIs provide core infrastructure across the DeFi industry and beyond. So if you're someone who thinks big, moves fast and wants to make an impact right from day one, then get ready to join our industry-changing team. Your mission As Senior Corporate Counsel, you will own legal and compliance matters across our international group. You will act as a senior legal advisor across multiple jurisdictions, covering corporate and commercial matters, People and employment, governance, compliance and cross-border legal matters. A significant part of your role will be owning and continuously developing our global compliance framework, including KYC/KYB, AML/CFT, sanctions, third-party compliance and investigations. You will work closely with People, Finance, Operations, Product, IT and other business functions to turn legal and regulatory requirements into practical solutions, policies and controls. What you’ll do Own and continuously develop the group’s compliance framework, including KYC/KYB, AML/CFT, sanctions, third-party due diligence, ethics and related policies and controls. Oversee risk-based compliance decisions and investigations, and coordinate responses involving regulators, law enforcement, fraud, scams and other high-risk matters. Monitor compliance risks, drive remediation and report to RiskCo, ExCo and relevant Boards, working closely with Product, IT and other business functions. Oversee compliance vendors, tooling and processes, and promote compliance awareness across the organization. Advise on corporate, commercial and cross-border legal matters, including group structuring, entity management, governance, intercompany arrangements, transactions and international expansion. Provide legal guidance across the group’s jurisdictions, including DIFC/UAE operations, and coordinate external counsel where local expertise is required. Support Board and shareholder matters, and provide legal oversight of the group’s corporate and statutory obligations. Act as the primary legal advisor to People/HR across the full employment lifecycle, employment and contractor models, employee relations, investigations and terminations. Advise on global workforce structures and cross-border employment, ensuring contracts, policies and practices reflect applicable local requirements. Draft, review and negotiate vendor, customer, partner and other commercial agreements, providing practical advice on contractual and commercial risk. Advise on data protection and privacy requirements across international operations, coordinating specialist advice where required. Shape the global policy framework, translate legal requirements into practical controls, and proactively identify and mitigate material legal risks. What you’ll need You have 8+ years of relevant legal experience. You hold a university degree in Law (LLB, JD or equivalent) and a professional legal qualification or admission to practise law in at least one recognized jurisdiction. You have strong corporate, commercial and employment law experience in an international and cross-border environment. You have demonstrated experience advising People/HR and organizations operating through multiple legal entities and jurisdictions. You have experience owning or operating compliance frameworks, with practical knowledge of KYC/KYB, AML/CFT, sanctions and third-party due diligence. You have strong commercial contracting, negotiation and stakeholder-management skills. You have sound knowledge of data protection and privacy requirements relevant to international organizations. You exercise sound legal judgment and translate complex requirements into practical, business-oriented solutions. Nice to haves Experience with DIFC/UAE law and regulations. experience in Defi / Crypto Experience building or scaling compliance frameworks across multiple jurisdictions, and experience interacting with regulators, law enforcement or external investigators. Experience with international corporate restructurings, investments or M&A. ICA, ACAMS, CIPP or an equivalent compliance/privacy qualification. 1inch is an equal opportunity employer. We are committed to evaluating all candidates on the basis of their skills, experience, and potential — regardless of race, ethnicity, nationality, gender, age, religion, disability, or any other characteristic. We believe diverse teams build better products, and we welcome applications from all backgrounds.

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. Note: this job post is for Fullstack Software Engineers only. If you are a Backend Engineer, please see our Backend Software Engineer post here . About the role We are looking for fullstack software engineers to help build safety and oversight mechanisms for our AI systems. As a software engineer on the Safeguards team, you will work to monitor models, prevent misuse, and ensure user well-being. This role will focus on building systems to detect unwanted model behaviors and prevent disallowed use of models. You will apply your technical skills to uphold our principles of safety, transparency, and oversight while enforcing our terms of service and acceptable use policies. We have multiple teams that are currently hiring within Safeguards. Team placement occurs after the interview process, taking into account your interests and experience alongside organizational needs. This flexible approach allows us to match talented engineers where they'll have the greatest impact and growth potential. Responsibilities: Design and build the internal review tools analysts use to investigate abuse — dashboards, case queues, and evidence viewers that make high-volume, high-stakes decisions fast and accurate. Build the interfaces where humans supervise agents: streaming output, interruption and approval flows, and clear provenance for every action an agent takes. Surface abuse patterns to our research teams through the visualizations and exploration tools that make emerging patterns legible. Own the frontend architecture for tools handling sensitive data at scale — performance under large datasets, correctness under real-time updates, and access controls enforced end to end. You may be a good fit if you have: A Bachelor’s degree in Computer Science, Software Engineering or comparable experience Proficiency in TypeScript and modern React; comfortable in Python for backend work The ability to work across the stack Strong communication skills and ability to explain complex technical concepts to non-technical stakeholders Strong candidates may also: 8+ years of experience in a software engineering position, not including internships or co-ops Have experience building data-dense internal tools or operator interfaces, not just marketing or consumer surfaces Have experience with integrity, spam, fraud, or abuse detection and mitigation Have experience building trust and safety detection mechanisms and intervention for AI/ML systems Have experience with prompt engineering, jailbreak attacks, and other adversarial inputs Have worked closely with operational teams to build custom internal tooling The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $405,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. 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: Brazil Why Join Exadel We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks. From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next. What powers it all? Our people are ambitious, collaborative, and constantly evolving. About the Client Our customer is a leading global financial institution with a strong presence across Capital Markets and Financial Services. The organization operates in a highly technology-driven environment where reliable, resilient, and high-performing trading systems are critical to business operations. The technology teams work closely with front-office trading desks, developers, quants, and business stakeholders to support sophisticated financial applications and ensure seamless technology operations across global markets. What You’ll Do Provide day-to-day application support for Fixed Income and Capital Markets trading systems, including application monitoring and responding to user queries through email and chat. Work closely with global and regional business users, Trade Floor teams, Developers, Quants, and Technology groups to investigate and resolve issues within agreed timelines. Log and manage requests, incidents, problems, and changes using ServiceNow and Atlassian JIRA. Troubleshoot production issues, perform root cause analysis, and track incidents through resolution. Support application rollouts, upgrades, deployments, and implementation activities, ensuring issues are identified and resolved effectively. Conduct end-to-end testing, regression testing, and QA for enhancements, bug fixes, and application changes before production releases. Partner with development teams to build solutions that leverage enterprise monitoring and logging, improve system resilience, and minimize manual maintenance. Develop a deep understanding of application components, functionality, interfaces, data flows, business rules, system dependencies, and operational processes. Proactively monitor system performance and identify opportunities to improve application stability, reliability, and operational efficiency. Participate in Disaster Recovery planning and testing, system changes, and server upgrade activities. Contribute to operational documentation and knowledge sharing to strengthen the team's ability to support critical applications. Follow ITIL best practices across Incident, Problem, and Change Management processes. Manage multiple priorities simultaneously while maintaining clear and effective communication with business stakeholders. What You Bring Professional experience supporting Capital Markets, Fixed Income, trading, or financial operations applications, particularly in a high-pressure production environment. Strong experience with application support, production troubleshooting, monitoring, incident management, and root cause analysis. Knowledge of ITIL service operations methodologies and experience working with service management platforms such as ServiceNow and JIRA. Strong understanding of IT operations practices, including monitoring, logging, alerting, application performance, and operational controls. Excellent communication and problem-solving skills, with the ability to manage business expectations and communicate effectively with both technical and non-technical stakeholders. Ability to work independently while also collaborating effectively within a global, cross-functional team. Strong understanding of application dependencies, system components, interfaces, data flows, and business processes. Experience reviewing and supporting system changes, application deployments, server upgrades, and Disaster Recovery activities. English level Intermediate/Upper-Intermediate Legal & Hiring Information Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more Reasonable accommodations are available to enable individuals with disabilities to perform essential functions Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs Compensation details are shared with candidates at the early stage of the recruitment process. The offer is not binding until a signed contract is in place. Your Benefits at Exadel Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details. International projects In-office, hybrid, or remote flexibility Medical healthcare Recognition program Ongoing learning & reimbursement Well-being program Team events & local benefits Sports compensation Referral bonuses Top-tier equipment provision Exadel Culture We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.

Location: New York Workplace: Remote Chainalysis is the leader in blockchain intelligence, defining how trust is built in the digital economy. We're operating at the cutting edge of one of the world's fastest-growing industries, shaping what comes next. Over the last 2 years, Chainalysis has made big bets and moved fast to capture the market opportunity in front of us: we've accelerated growth, landed enterprise-wide contracts at the world's largest financial institutions, completed acquisitions to build our AI talent and expand our products, and launched our first agentic products. At Chainalysis, the enablement team exists to drive the effectiveness, capacity, and productivity of our customer-facing teams. As the Head of Enablement, you will lead this globally-distributed team and build the relationships, programs, infrastructure, and operating model to help us capture the opportunity in front of us. You’ll report to the GTM Chief of Staff and work across the entire business to drive alignment around our biggest priorities. In this role, you'll: - Build the enablement organization into an operational juggernaut through deep, integrated partnerships with leaders across the business and a strong, foundational relationship with product management and product marketing - Design and implement the enablement operating model from the ground up: intake process, prioritization framework, content lifecycle, central calendar, and a single front door for requests. - Own the enablement tech stack (LMS, AI role-play, conversation intelligence) and build manager-facing dashboards that give sales leaders visibility into their teams' readiness. - Translate completed Product Marketing positioning briefs into curriculum, practice programs, battle cards, and field-ready content kits. Enablement does not create messaging. It makes messaging land. - Lead the work to transform the current checklist-based onboarding with a structured, curriculum-based program with clear ramp milestones, and scale it to absorb 25+ new sellers in the first quarter of FY28. - Build enablement analytics from scratch. Define metrics tied to pipeline, win rate, ramp time, and consumption growth. Demonstrate the function's business impact with data. - Extend enablement beyond account executives to serve Solutions Architects, Customer Success Managers, Global Services, and channel partners. Align frameworks so every customer-facing team speaks the same language. - Lead and stabilize a very talented team that has been through significant organizational change. Provide clear vision, invest in development, and build a culture where people do the best work of their careers. We're looking for candidates who have: - 10+ years of experience in sales, customer success, enablement, revenue operations, GTM operations, or a related operational function within complex B2B SaaS companies - Built or materially scaled a function, program, or operational capability from early stage. You have a track record of creating structure where there was none. - Demonstrated ability to thrive in ambiguity: you've operated in environments where the strategy was iterative, the infrastructure was incomplete, and you had to build while leading. You bring resilience and grit, not just skill. - Hands-on operational instinct. You are an operator first, and you build systems, design processes, introduce automation, and do the work yourself when that's what the situation demands. You are not looking for a role where you set strategy and delegate execution. - Direct experience working with or inside a strong sales enablement function. You understand what good looks like, even if your career hasn't been spent exclusively in enablement. - Experience managing geographically distributed teams across multiple time zones, and a passion for developing people - Product curiosity and enough understanding of product-to-market motions to maintain credibility with Product Marketing and Product teams. - Strong communication skills and the ability to build trust with senior leaders, sales managers, and cross-functional partners quickly. Nice to have experience: - Knowledge of Force Management, Command of the Message, or MEDDPICC. - Prior experience as a quota-carrying account executive or in a direct selling role. - Experience working in or with financial services, the public sector, or compliance-related industries (financial crime, AML/CFT, payments, trading systems). - Experience with enablement technology platforms (LMS, conversation intelligence, AI role-play tools). - Experience supporting a business model transition (for example, from subscription to consumption pricing). - Interest in cryptocurrency, blockchain, and related technologies, or a deep curiosity and willingness to learn. 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: 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: Baku Workplace: onsite ABOUT YOU We are looking for a Senior QA Engineer who is meticulous, technically sharp, and forward-thinking to join our engineering team. You thrive in fast-paced, agile environments and are passionate about ensuring quality at every stage of the development lifecycle. You are not only confident in manual testing but also eager to integrate AI driven testing tools and workflows to elevate productivity, test coverage, and defect detection.   You bring deep expertise in exploratory and structured testing, contribute to team best practices, and are proactive in monitoring production behavior and user experiences. You stay curious about emerging tools and technologies, especially AI, and know how to leverage them effectively without losing sight of the fundamentals.   If you’re excited to improve test processes, advocate for quality across teams, and drive innovation in QA through automation and AI, we’d love to hear from you.   ABOUT US Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game.   For more information, visit xsolla.com. Responsibilities Own and lead manual testing of complex features across multiple environments Drive exploratory and regression testing using structured documentation and product knowledge Identify, log, and track reproducible issues with precision using bug tracking tools (e.g. Jira) Analyze production logs and real-user behavior to proactively identify quality gaps Create and maintain detailed test cases, checklists, and QA documentation Collaborate with engineering and DevOps teams to ensure reliable CI/CD test coverage Evaluate and integrate AI-powered tools (e.g. test generation, log analysis, visual regression) into QA workflows Set up and manage test environments, staging pipelines, and job configurations Conduct load/stress testing and performance investigations Act as a quality advocate across sprint planning, reviews, and release cycles Mentor junior QA engineers and promote a culture of proactive quality ownership Qualifications & Skills Proven experience in software QA or testing roles, including ownership of end-to-end quality Degree in Computer Science, Information Technology, or related field Strong understanding of manual testing methodologies and defect life cycle Proficiency with bug tracking systems (e.g., Jira) and version control (e.g., Git) Practical experience using Postman and similar tools for API validation Hands-on experience with CI/CD pipelines and deployment readiness processes Proficiency with browser developer tools and basic terminal/command-line usage Strong verbal and written English communication skills Familiarity with AI-powered testing tools (e.g., test case generation, smart test prioritization, AI log analysis) Good to Have Experience with Playwright, Cypress, or Selenium for automated test development Understanding of backend technologies, APIs, and familiarity with PHP or related languages Experience working in Linux environments and using Bash scripting Hands-on with AI platforms (e.g., ChatGPT, Testim, Mabl, or AI-based bug triaging tools) in a QA context The duties and responsibilities of this position may evolve over time to support the organization’s goals and individual growth. This job description is intended to outline the general nature and level of work being performed and is not intended to be an exhaustive list of all duties, responsibilities, and qualifications required. By submitting your application, you consent to Xsolla conducting background checks, where permitted by law, after the final interview stage. All checks will comply with local regulations, and your information will be handled confidentially. Xsolla takes your privacy seriously and will not sell or externally distribute any personal data received during the hiring process. In accordance with applicable data protection laws, Xsolla is committed to protecting your personal information and respecting your privacy. For any inquiries related to data privacy, please contact: careers@xsolla.com Explore more opportunities at: https://xsolla.com/careers

Location: Hamburg adjoe builds the technologies behind mobile apps growth and monetization. With our core product Playtime Arcade, we've become the global leader in rewarded advertising, an ad unit built on a simple premise: users earn real in-app rewards for engaging with new apps. The result is one of the most effective value exchanges in adtech, connecting advertisers and publishers with over 770 million users annually. Architecting Intelligence to Optimize 200M+ Daily Decisions As the intelligence core of our engineering organization, our Data Science team doesn't just deploy models, we engineer the fundamental decision engine that powers our platform. At a scale of 770 million users and 100,000+ predictions per second, we are solving a multi-objective optimization problem that balances user incentives, advertiser ROI, and long-term platform health in real time. Our architecture is built on a 1PB+ behavioral data lake, providing the high-fidelity input necessary to train deep learning models that predict individual user engagement with precision. We aren't just optimizing clicks, we are dynamically calculating optimal reward structures to sustain a global value exchange. Engineered for performance, our stack leverages PyTorch for model training, NVIDIA Triton to achieve sub-100ms inference. We own the full ML lifecycle from high-level research and feature engineering to deployment and A/B experimentation. Here, you will find the autonomy, the data depth, and the massive scale required to solve the most complex optimization challenges in the adtech ecosystem. The data infrastructure behind this runs at real scale: 2TB ingested in real time every day, 100+ Airflow jobs and data pipelines, and ML models handling p99 latency of 100ms across 100,000+ predictions per second. What you will do: - Analyze and evaluate the performance of our machine learning models using user-level and aggregated data, identify inefficiencies and failure patterns, and turn findings into actionable recommendations for our Data Science teams. - Investigate how our ML models perform in the real world and compare model assumptions and predictions with actual user and business behavior. Identify gaps between offline model performance and online outcomes and help the team close them. - Define and improve metrics for measuring ML model performance and business impact, working closely with Data Scientists and Product Managers to ensure we optimize for the right outcomes. - Design, prepare and analyze A/B tests and other experiments to measure the impact of new models, features and algorithmic changes. Assess statistical significance, experiment quality and practical business impact. - Build dashboards and automated reports that make ML model performance, experiments and key business metrics transparent and easy to understand for technical and non-technical stakeholders. - Act as a bridge between Data Science, Product and Business teams, translating business questions into analytical problems and turning complex ML insights into clear recommendations and decisions. - Challenge product and technical decisions with data, bringing an independent analytical perspective to model development, experimentation and product strategy. - Document your analyses, methodologies and findings and build reusable analytical approaches that can be applied across models and experiments. Who you are: - You have a degree in mathematics, statistics, physics, computer science, economics, analytics, or a similar quantitative field. - You have 2+ years of relevant experience in Data Analytics, Product Analytics, Experimentation, Data Science or a similar role. Experience in AdTech, mobile apps or ML-driven products is a strong plus. - You have a strong analytical mindset and enjoy digging into data to understand why something happens, not just what happened. - You’re proficient in SQL and comfortable working with large datasets. - You have strong Python skills and are comfortable using them for data analysis and statistical modelling. - You have a solid understanding of statistics and experimentation, including hypothesis testing, confidence intervals, statistical significance and A/B test analysis. - You have an understanding of machine learning concepts and model evaluation and are comfortable working with Data Scientists. You don't necessarily need to build ML models yourself, but you should understand how to assess their performance and limitations. - You have experience working with model and business metrics, and can connect technical model performance to real-world business outcomes. - You have excellent data visualization skills and experience building dashboards using tools such as QuickSight, Power BI, Tableau, Streamlit or similar. - You are comfortable communicating complex analytical findings to both technical and non-technical audiences. Fuel for the Journey: Benefits to Support Your Ambitions - Invest in Your Future: Regular feedback and our development program support your growth, helping you expand your skill set and achieve your career goals. - Easy Arrival to adjoe: From signing to settling in Hamburg, we’ve got you covered. Need a visa? No problem. Ready to build your new life and career at adjoe in Hamburg? We support every ambition—from learning German to a relocation bonus that helps you settle in and make Hamburg feel like home. - Live Your Best Life, at Work and Beyond: We work in a hybrid setup with 3 core office days, plus flexible working hours. Enjoy 30 vacation days, 3 weeks of remote work per year, and free access to an in-house gym with lots of different fitness classes and mental health support through our Employee Assistance Program (EAP). - Thrive Where You Work: Enjoy the Alster lake view from our central office with top notch equipment, fun open spaces, and a large variety of snacks and drinks. - Join the Community! Participate in regular team and company events, including hackathons and social gatherings. We work together, and we celebrate together, too. Skip writing cover letters. Tell us about your most passionate personal project, your desired salary and your earliest possible start date. We are looking forward to your application! We welcome applications from people who will contribute to the diversity of our company. We welcome applications from people who will contribute to the diversity of our company.

Location: Zürich, CH About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As Anthropic's models grow more capable, so does the interest of people who want to attack or misuse them. The Detection and Response (D&R) team spots those threats and responds to incidents across every layer of Anthropic's technology stack. The team is early-stage, so you'll help build our detection and response capabilities from the ground up and work closely with our security and research teams. Key responsibilities Lead incident response across a range of domains, from external attacks to insider threats, spanning all layers of Anthropic's technology stack Build and deploy tooling, including tools that use large language models, to improve how we detect and respond to threats Create and tune detections, playbooks, and workflows to catch and respond to incidents quickly Review incident response metrics and procedures, and drive improvements Work across security and engineering teams Take part in an on-call rotation Minimum qualifications Experience handling security incidents and investigating anomalies as part of a team Working knowledge of EDR, SIEM, SOAR, or similar security tooling A solid understanding of cloud environments and operations Experience working with engineering teams in a SaaS environment Proficiency with a scripting language such as Python and query languages such as SQL Strong communication and collaboration skills Able to lead projects with little guidance Able to pick up new languages and technologies quickly Preferred qualifications 7+ years of software engineering experience, or 7+ years of detection engineering, incident response, or threat hunting experience Security operations or investigations involving large-scale Kubernetes environments Experience analyzing attack behavior and prototyping high-quality detections Experience with threat intelligence, malware analysis, infrastructure as code, or forensics Experience contributing to a high-growth startup environment 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. 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: Hamburg Workplace: Hybrid adjoe builds the technologies behind mobile apps growth and monetization. With our core product Playtime Arcade, we've become the global leader in rewarded advertising, an ad unit built on a simple premise: users earn real in-app rewards for engaging with new apps. The result is one of the most effective value exchanges in adtech, connecting advertisers and publishers with over 770 million users annually. TURNING PUBLISHER DATA INTO PROACTIVE BUSINESS DECISIONS This Data Analyst role sits within our Rewarded Analytics team, focusing on enterprise publisher analytics. When working with large enterprise publishers, performance monitoring goes beyond tracking numbers. Contractual commitments, business KPIs, and publisher-specific requirements need to be monitored continuously to identify potential risks before they become critical issues. Working closely with our Growth Managers and Partner Operations you will provide the insights and analytical solutions that help our largest publishers grow. You'll investigate large datasets, build automated reports, monitoring dashboards, and alerts that highlight performance trends and flag when a publisher may be at risk of missing its targets. From forecasting KPI performance to preparing dashboards for Quarterly Business Reviews, your work will enable our business teams to make informed decisions, take action earlier, and provide better support to our enterprise publishers. YOUR MISSION & WHO WE ARE LOOKING FOR: - Technically skilled Data Analyst : You have 3+ years of experience in data analytics and are confident using SQL and Python, R, or another programming language to analyse data, investigate issues, and identify trends. - Business-minded. You understand business KPIs and can turn data into clear insights that help teams make better decisions. - Proactive problem-solver. You identify potential risks and opportunities before they become problems, rather than waiting for requests. - Automation-oriented. You enjoy building automated reports, dashboards, and alerts that reduce manual work and make insights readily available. - A confident stakeholder partner. You communicate clearly, build strong relationships with different teams, and feel comfortable challenging assumptions and pushing back when needed. - Curious and collaborative. You take ownership, bring a positive attitude, and enjoy improving how things work. 🌎 WE WELCOME APPLICATIONS FROM TALENT WORLDWIDE AND PROVIDE RELOCATION SUPPORT TO HAMBURG, GERMANY FOR THOSE READY TO JOIN OUR TEAM. What’s in It for You? At adjoe, you’re not here to just close JIRA tickets, you’re helping build the infrastructure behind one of the most impactful platforms in adtech. The systems you work on will reach hundreds of millions of users and power billions of decisions every day. - Go Big. Own projects with impact on 770M users and push adtech boundaries. - Move Fast. Ship solutions multiple times a day, learn from results, and keep momentum. - Be Direct. Solve problems openly and collaborate across teams. - Thrive Together. Grow with a diverse, global team of people from over 40 different countries that learn from each other. - Have Fun. Celebrate wins, enjoy daily victories, and bring your energy. We welcome applications from people who will contribute to the diversity of our company.

Location: Moldova Company Background Our client is a market leader in contact center robotic process automation (RPA). Its patented platform automates manual management processes in contact centers, helping enterprises reduce costs while improving agent engagement and customer experience. The platform powers over 1 billion automated actions annually and delivers measurable ROI across industries such as financial services, telecommunications, insurance, and healthcare. Project Description The project focuses on deployment, automation, and infrastructure operations for the client’s hosted contact center automation platform. The DevOps Deployment Engineer will work with technically complex environments, supporting application installations, upgrades, releases, hot fixes, and service packs across development, testing, and production. The role involves close collaboration with DevSecOps, development, QA, and operations teams to improve deployment processes, maintain CI/CD pipelines, support infrastructure automation, and ensure reliable monitoring, alerting, and logging for production environments. Technologies AWS Docker, Kubernetes Terraform Ansible Jenkins Gerrit, Bitbucket Linux / Windows Python / Shell / PowerShell Grafana / ELK What You'll Do Collaborate with the DevSecOps team to build, automate, and support deployment pipelines and IaC solutions; Help plan and coordinate product releases, hot fixes, and service packs across development, test, and production environments; Improve deployment processes and tools to make releases faster, more reliable, and easier to scale; Support the implementation and maintenance of monitoring, alerting, and logging solutions to help ensure system health and performance; Work closely with development, QA, and operations teams to investigate and resolve deployment issues; Create and maintain clear deployment documentation, runbooks, and best-practice guides to support consistent delivery and knowledge sharing; Keep up with DevOps, cloud infrastructure, and automation trends, and bring practical ideas to the team; Follow company’s policies and procedures in all aspects of the role; Job Requirements 1+ years of experience in DevOps or a similar role, ideally with focus to deployment automation and infrastructure management; Experience writing scripts or automations using Python, Shell, PowerShell, or similar languages; Hands-on experience with container technologies such as Docker and orchestration platforms such as Kubernetes; Familiarity with one or more cloud platforms, including AWS, Azure, or Google Cloud Platform, preferably AWS; Working knowledge of configuration management tools such as Ansible, Puppet, or Chef; Understanding of CI/CD principles and experience with tools such as Jenkins, GitLab CI/CD, CircleCI, or similar platforms; Strong problem-solving skills and the ability to troubleshoot issues in distributed environments; Clear communication and collaboration skills, with the ability to work effectively in a team-oriented environment; What Do We Offer The global benefits package includes: Technical and non-technical training for professional and personal growth; Internal conferences and meetups to learn from industry experts; Support and mentorship from an experienced employee to help you professional grow and development; Health insurance; Sports activities to promote a healthy lifestyle; Flexible work options, including remote and hybrid opportunities; Referral program for bringing in new talent; Work anniversary program and additional vacation days.

Location: Ebene Workplace: OnSite Company Description We’re http://checkout.comCheckout.com http://Checkout.com. You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we’re behind many of the digital experiences you use every day. We are where the world checks out, enabling over 10 billion transactions yearly for more than one billion global shoppers. Whether you want to book a holiday, order food, renew a subscription, or check out online, there’s a good chance our tech powers the payments behind the scenes. Our platform helps the most ambitious businesses deliver effortless digital experiences, at scale. If you want to do career-defining work, you’ve come to the right place. We move fast, think globally, and believe great teams are built by hiring exceptional people with conviction, curiosity, and the desire to make an impact. With 20 offices across six continents and London as our HQ, we’re shaping the future of fintech – and we’re just getting started. As a Transaction Monitoring Analyst II, you will be at the front line of defending the ecosystem against financial crime. You will perform deep-dive investigations into merchant and consumer payment patterns to detect potential Money Laundering (ML), Terrorist Financing (TF), and Fraud. Unlike an entry-level role, an Analyst II handles escalated or complex alerts, identifies emerging typologies, and assists in the refinement of our monitoring rules. You will be responsible for ensuring that suspicious activity is identified, documented, and reported to the relevant authorities (via SARs/STRs) in strict accordance with internal policies and Mauritius/global regulatory requirements. WHAT YOUR RESPONSIBILITIES WILL BE - Investigative Analysis: Perform end-to-end investigations on complex transaction monitoring alerts, utilizing internal data and external OSINT tools to identify suspicious patterns. - Case Management: Manage a queue of high-priority cases, ensuring thorough documentation of rationales and timely clearance or escalation. - Reporting: Draft high-quality Suspicious Activity Reports (SARs) or Suspicious Transaction Reports (STRs) for review by the Money Laundering Reporting Officer (MLRO). - Pattern Recognition: Identify and escalate new financial crime typologies and "red flags" observed during daily monitoring to improve automated detection rules. - Risk Mitigation: Conduct enhanced due diligence (EDD) on high-risk accounts or merchants triggered by transaction monitoring alerts. - Collaboration: Work closely with the Quality Control (QC), Financial Intelligence Unit (FIU) and Product Engineering team to provide feedback on alert quality and system effectiveness. - Mentorship: Serve as a point of escalation and subject matter expert (SME) for Junior Analysts, providing guidance on complex investigative techniques. - Compliance Adherence: Ensure all reviews are completed within strict regulatory timelines and internal Service Level Agreements (SLAs). WHAT YOU WILL NEED TO BE SUCCESSFUL - Education: Bachelor’s degree in Banking, Finance, Law, Criminology, or a related field. - Experience: Minimum 3+ years of hands-on experience specifically in AML Transaction Monitoring or Financial Crime Investigations within Fintech or Banking. - Technical Savvy: Proficiency in using Transaction Monitoring systems (e.g., Napier, Featurespace, or proprietary tools) and data visualization tools. - Analytical Rigor: Strong ability to "connect the dots" across disparate data points to uncover complex money laundering schemes. - Communication: Exceptional written communication skills, with a proven ability to write clear, concise, and defensible investigative narratives. - Regulatory Knowledge: Solid understanding of the Financial Intelligence and Anti-Money Laundering Act (FIAMLA) and global AML/CFT standards (FATF). - Certification: ACAMS or ICA certification is highly preferred. - Mindset: A proactive, "investigator" mindset with high attention to detail and the ability to work under pressure. Additional Information Bring all of you to work We create the conditions for high performers to thrive, through real ownership, fewer blockers, and work that makes a difference from day one. Here, you’ll move fast, take on meaningful challenges, and be recognized for the impact you deliver. It’s a place where ambition gets met with opportunity, and where your growth is in your hands. We work as one team, and we back each other to succeed. So whatever your background or identity, if you’re ready to grow and make a difference, you’ll be right at home here. It’s important we set you up for success and make our process as accessible as possible. So let us know in your application, or tell your recruiter directly, if you need anything to make your experience or working environment more comfortable. Life at Checkout.com http://Checkout.com We understand that work is just one part of your life. Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection. Curious about what it’s like to be part of our team? Visit our Careers Page https://www.checkout.com/careers to learn more about our culture, open roles, and what drives us. For a closer look at daily life at Checkout.com http://Checkout.com, follow us on LinkedIn https://www.linkedin.com/company/checkout/life/ and Instagram https://www.instagram.com/checkout_com/

Location: Americas Remote About Customer.io Over 9,000 companies — from scrappy startups to global brands — use our platform to send billions of emails, push notifications, in-app messages, and SMS every day. Customer.io powers automated communication that people actually want to receive. We help teams send smarter, more relevant messages using real-time behavioral data. About the role Hi, my name is Caitlin, Senior Manager, Technical Support at Customer.io , and I'm looking for an Email Deliverability Specialist to join our deliverability program within Technical Support. You'll help customers reach the inbox by diagnosing sending issues, advising on best practices, and guiding senders through an email ecosystem that keeps changing. You'll be one of several deliverability experts on a team that shares knowledge across Technical Support, so your work reaches well beyond your own queue. You'll partner with Customer Success, Technical Support, and Engineering: taking customer calls, equipping CSMs for customer conversations, working through complex technical cases alongside Engineering, and turning what you see in tickets into documentation, training, and better processes. You'll thrive here if you think about the health of the whole program, enjoy improving how work gets done, and are equally comfortable digging into a detailed case and having a direct conversation with a customer about acceptable use. What we value Empathy and curiosity: You approach every customer with patience and a desire to dig deeper, especially when a conversation gets uncomfortable. Clarity: You explain complex technical concepts simply and help others do the same. Collaboration: You build strong partnerships across Support, Customer Success, and Engineering, and you treat customer outcomes as a shared goal. Thinking at scale: You look at how we do things today and see what could work better for the whole organization, then you help make it happen. Continuous learning: You stay ahead of evolving standards and see change as a chance to improve how we work. What you'll do Act as a trusted deliverability advisor to customers, handling complex cases through to full resolution and leading customer calls when a conversation needs it Audit sender setup and monitor reputation across IPs and domains, using authentication (SPF, DKIM, DMARC) and BIMI, DNS configuration, and provider tools like Google Postmaster Tools, Yahoo Sender Hub, and Microsoft SNDS to diagnose blocklists, spam traps, and engagement drops Work through highly technical issues with Engineering, taking ownership of the investigation first and sharing trends from customer cases with Product and Engineering Identify acceptable use policy violations and spam complaints, hold clear and direct conversations with customers about compliance, and keep up with evolving standards (Gmail and Yahoo sender requirements, CAN-SPAM, GDPR) Equip CSMs and Technical Support with the knowledge to handle deliverability conversations, through coaching, documentation, and training Improve processes, tools, and one-to-many resources, such as help content, Academy course and proactive customer guidance, so deliverability support scales across the organization What we're looking for 2-4 years of experience in email deliverability at a mid-size or large ESP, B2B SaaS company, or marketing automation platform, with exposure to deliverability at scale Deep understanding of email authentication (SPF, DKIM, DMARC, BIMI) and infrastructure (SMTP, MTAs, DNS), with the technical comfort to work through complex issues with Engineering Proficiency with provider data feeds (Google Postmaster Tools, Yahoo Sender Hub, Microsoft SNDS) and third-party deliverability monitoring tools like Everest, MXToolbox, or similar, and the analytical skill to turn bounce, engagement, and blocklist data into clear recommendations Working knowledge of email compliance and acceptable use standards, and comfort having direct conversations with customers who are sending outside of them Experience building or improving processes, documentation, or training that help a support or deliverability team scale Excellent written and verbal communication, including comfort leading customer calls and simplifying technical concepts for any audience Located in the United States or Canada Bonus: participation in deliverability communities (M3AAWG, ESPC, or similar) and experience partnering with Customer Success teams Compensation & Benefits We believe in transparency. Starting salary for this role is $102,000 - $110,000 USD (or equivalent in local currency) depending on experience and subject to market rate adjustment. In addition to base salary, this role includes an equity grant in the form of stock options, so you share in the success you help build. We know our people are what make us great, and we're committed to taking great care of them. Our inclusive benefits package supports your well-being and growth, including 100% coverage of medical, dental, vision, mental health, and supplemental insurance premiums for you and your family . We also offer 16 weeks paid parental leave, unlimited PTO , stipends for remote work and wellness, a professional development budget, and more. See full benefits here → Our Process No gotchas, no trick questions - just a clear, human process designed to help both of us make an informed decision. 30-minute video call with a Recruiter 45-minute video call with the Hiring Manager 60 minute Case Study Review call with Cross-Functional Partners 30 minute video call with potential Team Member 30 minute final video call with Senior Leadership All final candidates will be asked to complete a background check and employment verifications as part of our pre-employment process. Customer.io recognizes the stifling impact of systemic injustice on diverse communities. We commit to using our influence to increase inclusion and equity within the tech industry. We strive to build an inclusive team culture, implement bias-free hiring practices, and develop community partnerships to expand our global impact. Zoom is the only video conference platform that we use, virtual interviews will be conducted using the video capability (i.e., not via the chat), and offers will be extended in writing on official Customer.io letterhead. Please be vigilant in all of your job search activity, and if you have any questions please contact jobs@customer.io . Join us! Check out our careers page for more information about why you should come work with us! We believe in empathy, transparency, responsibility, and, yes, a little awkwardness. If you're excited by what you read — apply now.