Вакансии

Location: Bangalore, India GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role As a Support Engineer at GitLab, you'll sit at the intersection of Support and Engineering, helping customers solve complex, real-world challenges while running GitLab in diverse and demanding environments. You'll join the Engineering department and work directly with customers as they encounter edge cases. You'll dig into Linux systems, logs, and our Ruby on Rails codebase to troubleshoot performance issues, reproduce bugs, and contribute merge requests that fix problems at the source. You'll also improve our documentation, refine support processes in our issue tracker, and collaborate closely with Product, Development, Infrastructure, Customer Success, and Sales so customer feedback directly shapes our roadmap. In your first year, you'll build deep expertise across a range of GitLab implementations, strengthen our ability to keep customers productive on both self-managed GitLab and GitLab.com software as a service, and help create tools and content that make support more efficient and effective for the entire team. Some examples of our projects: A tool to automatically check a GitLab Omnibus install for known issues A solution to capture the state of a customer’s server for easier troubleshooting A tool which turns log files into interactive tables to easily sort and filter columns A ChatOps feature that makes it easier to identify user accounts on GitLab.com What you’ll do Act as an escalation point for difficult customer interactions and lead the resolution of complex issues through Zendesk tickets, merge requests, email, and video calls. Mentor and guide teammates on complex troubleshooting and customer communication through pairing sessions and cross-team collaboration. Advocate for and drive improvements to support practices, product quality, and reusable documentation and support content that directly influence team objectives. Collaborate with Product, Development, Infrastructure, Customer Success, and Sales teams to shape product goals, roadmaps, and priorities while driving fixes and new features. Participate in regular weekday and weekend on-call rotations during daytime hours, providing emergency support for self-managed GitLab and software as a service customers and coordinating incident communications with the GitLab.com Production team. Participate in hiring by reviewing applications and assessments and joining interviews to help grow the Support team. What you’ll bring Experience owning complex, customer-facing technical cases from initial contact through triage, reproduction, bug reporting, resolution, and clear customer communication, including difficult or escalated interactions. Strong experience with Linux systems administration, scripting, Git, and continuous integration and continuous delivery in production or customer environments, with the ability to investigate issues at both the infrastructure and application levels. Ability to mentor teammates on complex troubleshooting and customer communication through pairing sessions, case reviews, and cross-team collaboration. Experience collaborating with Product, Engineering, and Sales teams to turn customer feedback into product fixes, feature improvements, and roadmap priorities. Familiarity with DevOps practices and technologies such as Kubernetes and serverless computing, and an understanding of how different GitLab implementations operate and affect customers. Demonstrated ability to learn, collaborate across teams, and apply transferable skills from related technical support or engineering roles. About the team We're a globally distributed group of Support Engineers across the Americas, Europe, the Middle East, and Africa, and Asia-Pacific. We work asynchronously and stay connected through pairing sessions, one-on-one meetings, coffee chats, and Slack. We structure our shifts to support our personal lives while meeting customer needs. Thanks to GitLab’s transparency value, you can see what we are working on and how we operate on our Support Team page . How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Location: Melbourne, Victoria, Australia Workplace: hybrid We are a leading trading platform that is ambitiously expanding to the four corners of the globe. Our top-rated products have won prestigious industry awards for their cutting-edge technology and seamless client experience. We deliver only the best, so we are always in search of the best people to join our ever-growing talented team. Driving Capital.com ’s regulated expansion in Australia, you will embed practical, risk-based controls that keep our fast-moving business fully aligned with AFSL, ASIC and AML/CTF expectations. Acting as the operational bridge between front-line teams and regulators, you will ensure that compliance is not a hurdle but a competitive advantage for our OTC-derivatives offering. Responsibilities: Regulatory Advisory & Support: Serve as a  point of contact for policy, procedure and technical queries from operational teams. Onboarding Oversight: Review KYC/AML checks and verify wholesale-client categorisations to guarantee compliant client onboarding. Policy Governance: Maintain and continuously improve the Compliance Manual, policies and procedures in line with evolving ASIC and AUSTRAC requirements. Regulatory Engagement: Assist the Head of Compliance with  preparing and respond to ASIC, AUSTRAC and external-audit requests, ensuring timely and accurate submissions. Controls Testing & Risk Assessment: Assist with internal audits, control testing and risk assessments, highlighting gaps and driving remediation. Compliance Registers Management: Maintain and monitor registers for breaches, complaints, conflicts and incidents, escalating themes to leadership. Board & Committee Reporting: Compile clear, data-driven reports for the Compliance Committee, TMD Committee and Capital.com Board Requirements: Industry Experience : 2-4 years in compliance or regulatory roles within OTC derivatives, CFDs, FX or broader financial markets, ideally under an AFSL framework. Regulatory Expertise : Deep working knowledge of ASIC Regulatory Guides, the AML/CTF Act and derivative-reporting obligations, with the ability to interpret and apply them pragmatically. Operational Know-how : Hands-on familiarity with client-onboarding workflows, trading systems and compliance-monitoring tools; proven experience drafting policies, testing controls and producing board-level reports. Analytical Mindset : Detail-oriented and resilient under pressure, able to investigate issues and translate data into actionable improvements without losing pace. Communication & Stakeholder Management : Confident communicator who can influence internal teams and engage regulators or auditors in a high-pressure trading environment. Education & Credentials : Bachelor’s degree (finance, law or related) or near completion; additional compliance or AML certifications welcomed. Growth Mindset : Proactively identifies enhancements, champions high-quality outcomes and aligns with Capital.com ’s culture of innovation. Competitive Salary: We believe great work deserves great pay! Your skills and talents will be rewarded with a salary that makes you feel valued and motivated. Work-Life Harmony: Join a company that genuinely cares about you -because your life outside of work matters just as much as your time on the clock. Generous Time Off: Need a breather? Our annual leave policy lets you recharge and enjoy life outside of work without a worry. Employee Referral Program: Love working here? Share the love! Bring your talented friends on board and get rewarded for growing our awesome team. Comprehensive Health Benefits: We’ve got your back with a medical insurance plan. Plus, location-specific benefits and perks! Workation Wonderland: Live your digital nomad dreams with 30 extra days to work remotely from anywhere in the world (some restrictions apply). Adventure awaits! Volunteer Days: Make a difference! Take two additional paid days each year to support causes you care about and give back to the community. Be a key player at the forefront of the digital assets movement, propelling your career to new heights! Join a dynamic and rapidly expanding company that values and rewards talent, initiative, and creativity. Work alongside one of the most brilliant teams in the industry.

Location: Montreal, Canada Role overview: Our client is seeking a System Engineer to perform design, integration, verification, and operational support of TT&C/PDT subsystems for current and next‑generation remote sensing and communications satellites. The role will interface with spacecraft payload teams, ground‑segment developers, and mission‑operations teams to ensure reliable command delivery, high‑fidelity telemetry acquisition, and robust data handling throughout the satellite life‑cycle. Tasks summary: Architecture Concept & Requirements Define TT&C/PDT functional architecture (command generation, uplink, telemetry downlink, on‑board data handling, RF front‑end). Conduct trade‑studies for modulation schemes, coding, frequency plans, ranging and link budgets. Produce System Requirements, Interface Control (ICDs), and Description documents. Perform requirement management and maintain bidirectional traceability throughout the project lifecycle. Collaborate with cyber‑security to embed resilience and security by design. Design & Development Lead detailed design of hardware (TT&C transceiver, RF front‑ends, antenna‑pointing) and software (command sequencer, telemetry parser, health‑monitoring). Perform link‑budget analysis, RF simulation (e.g., STK, Matlab), and error‑budget budgeting. Verify compliance with CCSDS, ECSS, ITU, and regulatory standards. Support Satellite Reference Database development and validation Cross‑Functional Coordination, Stakeholder & Program Interaction Present technical status, risk analyses, and trade‑study results to senior management. Negotiate and maintain ICDs and interface agreements with internal & external suppliers. Support B&P (Phase 0 & pre-Phase A). Integration & Verification (IVV) Develop test plans, procedures, and verification matrices for unit, subsystem, and spacecraft‑level TT&C tests. Execute RF link testing, BER, command latency, and telemetry integrity verification. Manage anomaly investigation, root‑cause analysis, and corrective actions. Technical Leadership & Mentorship Mentor, guide junior engineers and interns. Act as technical liaison with customers, partners and external vendors Act as Continuous Improvement stakeholder Contribute to client’s knowledge‑base, process enhancements, and standards. Configuration, Documentation & Standards Management • Ensure all artefacts, analysis, software, deliverables and documentations are version controlled in PLM environment. Support design reviews (SRR, PDR, CDR, MRR/TRR…etc.). Support Technology Road‑Mapping & Innovation On‑Orbit & Operations Support Support launch‑pre‑launch and early‑orbit checkout – validate command uplink, telemetry acquisition, and on‑board software hand‑over. Provide real‑time C&T support during nominal and contingency operations. Maintain ground‑segment configuration (gateways, mission control servers, monitoring dashboards). Support SOOH development and associated operator trainings. Required Qualifications: B.Sc. in Electrical Engineering, Aerospace or related field with 8+ years of TT&C/PDT System design experience on LEO/MEO/GEO platforms. Strong knowledge of CCSDS TM/TC packet standards, ECSS telemetry & command protocols, PUS services and ITU frequency regulations. Proficiency in RF link‑budget analysis, S‑band/X‑band/Ka‑band modem architecture. Strong understanding of aerospace system engineering fundamentals, space environment and orbit mechanics. Hands-on individual who can support systems integration processes and capability to test systems and resolve problems. Experience with Confluence and JIRA. Demonstrated capability to efficiently work with little supervision. Ability to distill complex problems to fundamentals to solve with analysis, similarity, or creativity. Demonstrate excellent written and oral communication skills in English; knowledge of French will be considered an asset (Contact with clients outside Quebec and work on deliverables in English).

Location: Montreal, Canada Role overview: Our client is seeking a Satellite C&DH System Engineer to support and/or design, integrate, verify, and support the on‑board command, control and data management functions for current and next‑generation remote sensing & communications satellite programs. The role will own the C&DH functional architecture, drive trade‑studies, and may provide technical authority throughout the spacecraft life‑cycle. Tasks summary: Architecture Concept & Requirements Translate mission‑level requirements into C&DH functional and non‑functional specifications. Produce System Requirements, Interface Control (ICDs), and Description documents. Perform requirement management and maintain bidirectional traceability throughout the project lifecycle. Collaborate with cyber‑security to embed resilience and security by design, ECU. Design & Development Lead detailed design of on‑board processors, data‑buses (SpaceWire, MIL‑1553, CAN, Ethernet), memory subsystems, and I/O interfaces. Support software architecture: command sequencing, telemetry packetization, health‑monitoring, services, fault‑detection‑isolation‑recovery (FDIR). Support Satellite Reference Database development and validation Cross‑Functional Coordination, Stakeholder & Program Interaction Communicate technical status, risk assessments and trade‑study results to senior management and/or customers or partners. Work with FSW teams to define RTOS, APIs, task scheduling, real‑time operating system configuration, services usage. Define uplink command formatting, downlink telemetry packet structures, and ground‑segment data‑handling interfaces (mission‑control servers, data‑archiving pipelines). Coordinate with the TT&C/PDT engineering and Ground Segment ICDs to ensure end‑to‑end data integrity. Support B&P (Phase 0 & pre-phase A). Integration & Verification (IVV) • Develop verification plans, test matrices, and validation procedures for unit, subsystem, and spacecraft level C&DH tests. • Execute functional tests, bus‑protocol compliance, SIL and HIL campaigns. • Manage anomaly investigations, root‑cause analysis, and corrective‑action implementation. Technical Leadership & Mentorship Mentor, guide junior engineers and interns. Act as technical liaison with customers, partners and external vendors Act as Continuous Improvement stakeholder Contribute to our client’s knowledge‑base, process enhancements, and standards. Configuration, Documentation & Standards Management Author and maintain C&DH standards (bus protocols, data‑format conventions, redundancy policies). Ensure all artefacts, analysis and documentations are version controlled in PLM environment. Support design reviews (SRR, PDR, CDR, MRR/TRR…etc.). Support Technology Road‑Mapping & Innovation On‑Orbit & Operations Support Support launch‑pre‑launch and early‑orbit checkout, validate satellite functions, HK and nominal operation Support and analyse on‑orbit telemetry, update filter parameters as needed. • Support SOOH development and associated operator trainings Required Qualifications: B.Sc. in Electrical Engineering, Aerospace or related field with 8+ years of C&DH engineering experience on LEO/MEO/GEO platforms. Deep knowledge of spacecraft data‑bus standards: SpaceWire, MIL‑1553, CAN‑A, Ethernet, CCSDS packet telemetry/command and PUS services. Knowledge in processor, FPGA, firmware and embedded Strong understanding of aerospace system engineering fundamentals, space environment and orbit mechanics. Hands-on individual who can support systems integration processes and capability to test systems and resolve problems. • Experience with Confluence and JIRA. Demonstrated capability to efficiently work with little supervision. Ability to distill complex problems to fundamentals to solve with analysis, similarity, or creativity. • Demonstrate excellent written and oral communication skills in English; knowledge of French will be considered an asset (Contact with clients outside Quebec and work on deliverables in English).

Location: Remote, United States GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role As a Senior Product Manager , you will own GitLab's Secret Detection offering and the Vulnerability Research function that produces the detection content across security products. Secret Detection is one of the highest-signal, highest-volume security capabilities on the platform. Leaked credentials are the most common initial access vector in real breaches, and as AI agents write, commit, and configure more of the software, the surface area for exposed secrets grows faster than the number of humans watching it. You will own the full loop: detect a secret with high precision, tell the customer whether it is still live, get it revoked, and prevent the next one from ever landing. In parallel, you will own vulnerability research as a product asset rather than a back-office function. The detection rules, advisory data, and malicious package and reference intelligence your team produces are what make GitLab's security scanners worth paying for, and they need to ship on a cadence with measurable quality. This is an outcome-owning role - you will carry adoption, retention, and revenue targets for your area and be expected to explain how your roadmap moves them. Some examples of our projects: Push protection and pre-receive blocking that stops a credential before it reaches a repository, without wrecking developer flow Secret validity checking and automated revocation partnerships with major cloud and SaaS token issuers Detection content pipelines that turn threat research into shipped rules, with precision and recall tracked per rule Intelligence-driven detection of malicious packages, dependencies, and references entering the software supply chain What you'll do Own the business outcomes for Secret Detection and Vulnerability Research, including adoption, expansion, competitive win rate, and revenue contribution. Bring a point of view on packaging and pricing, not just features. Set the strategy for the full secret lifecycle: prevention, detection, validation, revocation, and reporting across GitLab.com, Dedicated, and Self-Managed. Treat detection content as a product. Define how rules, advisories, and intelligence feeds are sourced, validated, versioned, and measured, and make quality visible to customers. Hold the line on detection quality. False positives are a product defect and you will own the metrics that prove precision is improving. Work at the level of the technology. Read the rule syntax, question the entropy heuristics, understand why a scanner missed something, and challenge engineering with informed alternatives. Use AI to compress the distance between question and answer. Pull your own data, prototype your own flows, synthesize research and competitive input yourself, and bring conclusions rather than requests for someone else to investigate. Build the case for where AI belongs in the product: triage, rule generation, remediation guidance, and reducing the human review burden per finding. Partner with engineering, security research, threat intelligence, Field, and GitLab's own Security team, who are one of your most demanding users. Communicate in writing, asynchronously, with enough precision that a distributed team can act without a meeting. What you'll bring Domain depth in application security, vulnerability management, or security research. You have worked on or adjacent to scanners, detection content, threat intelligence, or SDLC security tooling and you know how these products actually get evaluated in a bake-off. Technical credibility sufficient to earn the respect of a security engineering team. You do not need to have written the scanner, but you should be able to reason about detection logic, data pipelines, CI integration, and the tradeoffs between coverage and noise. Commercial reasoning. You start from revenue mechanics, buyer motion, and competitive displacement, then work inward to product decisions. Candidates who reason only from feature lists outward are not a fit. Evidence of using AI as a force multiplier in your own work: research, analysis, data pulls, prototyping, drafting. Consuming a chat assistant occasionally is not the same as restructuring how you work. Judgment under ambiguity. You bring structured options and a recommendation instead of escalating an open question. Bias for clarity. You can take a noisy, technical, politically contested problem and produce one page that everyone can align on. Bonus: hands-on background as a developer, security engineer, red teamer, or researcher; experience with credential and token ecosystems; experience commercializing a data or intelligence asset. About the team This role sits in GitLab's Security product management organization, which owns application security testing, vulnerability management, supply chain security, secrets management, and AI governance. The Security Section is central to GitLab's Ultimate tier and to the shift toward consumption-based product revenue, so the work is visible to senior leadership and directly tied to company results. You will work asynchronously with engineering, design, and research counterparts across multiple regions, and with the Field teams who take this to market. How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Location: United States + International (Remote) GiveWell’s mission is to help people in need as much as we can by researching the most cost‑effective ways to save and improve lives, sharing our work openly, and directing donations to the programs we believe will do the most good. Our work, which focuses on global health and well-being, is funded by tens of thousands of donors who rely on our research to inform their giving. We’ve grown from directing $1.5 million in 2010 to directing more than $400 million in 2025. We anticipate our total grantmaking is likely to approach or even exceed $1 billion this year, and we are working toward a future that could be several times that scale. Through years of deliberate groundwork, we’ve been growing our research capacity and scope in order to direct substantially more funding to the most impactful opportunities we can find. Summary GiveWell is seeking a Cause Prioritization Lead to own and improve our cause prioritization process, develop a portfolio of early-stage grants across emerging cause areas, and rapidly respond to promising new opportunities that are unusual for GiveWell, do not fit with our existing grantmaking teams and may require innovative approaches to investigation. As part of our lean research team, you will have an outsized influence on our funding decisions and help us save and improve lives on a global scale. You’ll create and lead ambitious research agendas, answer complex questions, and inform high-impact grantmaking decisions by combining rigorous evidence review, cost-effectiveness modeling, and thoughtful judgment. The Cause Prioritization lead will join GiveWell at Senior Program Officer level. You will build a sub-team within the New Areas team and will report to our New Areas team lead. The role As Cause Prioritization Lead, you will be an intellectual leader of GiveWell’s work in new domains. In this role, you will build and lead a new sub-team within GiveWell's New Areas team. You will be responsible for: Improving our cause prioritization process to identify promising emerging areas for grantmaking; ensuring that process combines evidence, cost-effectiveness modelling and our own judgement, and is continuously responsive to new information and external feedback. Overseeing a portfolio of grant investigations and grant management in each of the highest priority emerging cause areas, and starting to build a research agenda including identifying ways to learn about key uncertainties through the initial grants that we make. Communicating externally about our work and building a network of people across implementers, funders, and academia whose expertise span a broad range of cause areas, to help source new ideas. Managing a team to execute these goals, and supporting the professional development of other team members. Creating a culture that is agile and willing to respond to new and unusual opportunities. Directly investigating more complicated grantmaking opportunities yourself. This could include investigating types of programs that are newer to GiveWell; for example, programs earlier in the product development cycle or programs to support government prioritization and planning. In the course of your work, you might approach questions like these: How can we source new grantmaking opportunities in fields in which we don't have an established presence, and how can we make sure we hear from a range of implementers, not just those we've worked with before? How much uncertainty are we willing to accept before making a grant, which questions do we need to answer before making a grant, and which ones can we deprioritize or answer later? What research we can fund today that could substantially impact our grantmaking five years from now? How should we balance exploring and seeding new, smaller opportunities with funding cost-effective opportunities at scale today? How can we ensure that we identify new funding gaps opened up by changes in other donors' priorities? How can we triangulate empirical evidence against expert opinion on other qualitative features, like organizational track record? How can we estimate the probability that a new health commodity comes to market in low and middle income countries, and on what timeline, at what scale? How can we model the cost-effectiveness of a horizontal program which has benefits across a diffuse set of health outcomes? Team structure Our research department is currently organized into eight teams: Five of the teams (Water, Livelihoods, Nutrition, Malaria, and Vaccines) focus on specific areas of grantmaking. The Cross-Cutting team focuses on methodological issues, research quality, and other big-picture concerns that cut across all of our research work. The Commons team provides generalized research support to each of the other teams, including landscaping research, vetting, and publishing. The New Areas team focuses on interventions in domains that are new to GiveWell. The New Areas team is currently a 9-person team within an overall research department of ~80 people, and focuses on interventions in domains that are new to GiveWell. Our work is divided into three main workstreams. Grantmaking in emerging cause areas, as well as the process for and identification of new cause areas for that portfolio, would be the primary responsibility of the Cause Prioritization Lead. Core cause areas: this is the set of cause areas for which the New Areas team devotes a significant amount of time developing subject-matter specific expertise and networks, a thorough research agenda, and a relatively large portfolio of grants across a mix of implementers and interventions. This portfolio currently includes our work on maternal and newborn health, family planning, tuberculosis, HIV and medical oxygen. Emerging cause areas: this is a broader set of cause areas for which the New Areas team is starting to build its expertise, networks and research agenda, and is making some initial grants. As our work in these areas becomes more mature, they could graduate to become a core cause area. In addition to new cause areas, this portfolio may include work on types of intervention that are new to GiveWell which could have applications across our teams: recent examples include market shaping, health systems strengthening and applications of AI to global health. Incubators: we support other organisations to identify potentially cost-effective interventions and create programs that we would be excited to support in the future (e.g., the Clinton Health Access Initiative’s Incubator ). For example, we funded a program to provide diarrhea treatment to children in Nigeria that we co-designed with CHAI through the Incubator program. Some of this work could fall under the remit of the Cause Prioritization Lead where it overlaps with our emerging cause areas. Team values We think our research team has unique qualities: We care deeply about finding and sharing truth. Truth-seeking is one of our core values . We post our mistakes and we prize our team members who keep our culture of free-flowing feedback strong. We are independent. We focus 100% on finding the most cost-effective opportunities to save and improve lives. Our researchers assist in communicating our research findings to the public and our donors, and on occasion we provide tailored advice to ultra-high-net-worth donors who want to rely on our expertise to direct their giving—but we never ask our researchers to trade off against honesty, or to hide their real beliefs. We don’t waste time. Once it’s clear that a particular research question is unlikely to change our bottom-line funding recommendation, we drop it as quickly as possible. We encourage our research staff to constantly re-evaluate their portfolios and only work on the highest-priority questions. Lean research team = huge personal impact. In 2026, our research team of ~80 people is directing close to 1 billion dollars and we expect grantmaking dollars per research team member to increase in the future. We work well together. Our research team is lean because we’re able to attract top-tier people, all of whom complete skills-based assessments before joining our staff. We maintain a high-performing, collegial culture and pay our staff accordingly. About you The Cause Prioritization lead must have quantitatively-oriented advanced degrees and substantial relevant experience using empirical tools to make rigorous, evidence-based decisions in the real world. Practically, our senior research staff typically has 5-10 years of post-grad work experience prior to joining GiveWell. We're happy to consider applicants who do not have advanced degrees, but we'll look for a commensurate amount of relevant experience. You can review our staff bios here for more practical insight on the backgrounds and experience of our current team. We expect that people with the soft qualities below will be the most successful and happy on our team. This isn’t a full list, but hopefully it conveys the gist of our team’s professional personality: GiveWell’s mission and methods are personally energizing—you like our approach to research and you find personal meaning in our story of impact. You’re unusually curious—you ask lots of questions, and you're willing to interrogate others' work. Your curiosity also extends to your own work, and you aren’t defensive when your research comes under scrutiny. You're a generalist and agile —you are able to get up to speed quickly on new topics and you feel comfortable task-switching. You are comfortable pivoting your focus as we learn new information, and are continuously reassessing promisingness. You're a strong strategic thinker. You find ways to impose structure on a broad and undefined problem (e.g., how should your team prioritise work across a huge range of potential cause areas), you can develop and articulate a vision to your team, and build processes to execute that vision. You're excited by people management. You take other team members' professional development seriously, and can provide a supportive environment whilst also delivering constructive feedback. You're able to quickly hone in on the crux of the argument when assessing other people's work, probing on the most decision-relevant assumptions even in fields where you have limited contextual knowledge. You're entrepreneurial. When you see a gap, you want to fill it, whether that's designing a new program, finding an implementer, or setting up a new kind of funding mechanism. You make bets under uncertainty. You routinely think about and surface the value judgments, background knowledge, and strategic commitments that underlie your work. You understand the potential effects of mistaken mental models, so you strive to improve yours and your team’s. You dislike it when people express strong confidence in views that don’t seem to rely on commensurate evidence. You carefully and legibly communicate about your confidence levels. You appreciate the value of an excellent reputation and strong relationships. You can moderate your directness and intensity when you’re communicating with external folks. You love a gnarly problem . You figure out the most important questions to answer, go deep on the details where they matter (and move on where they don’t), and reassess your mental models based on what you’ve learned. The details Compensation: We set salaries using a location-based tier system. Our pay for this role: NYC or the San Francisco Bay Area: $308,000. All other U.S. locations: $280,000 International: Similar to the “all other U.S. locations” salary, based on historical exchange rates and delivered in locally-denominated currency. Benefits : Our benefits include: Fully funded health, dental, vision, and life insurance (we cover 100% of premiums within the US for you and any dependents) Four weeks of paid time off per year 16 weeks of fully paid parental leave Ergonomic home workstations or coworking space memberships Automatic contribution equal to 5% of your gross salary into your 403(b) retirement plan (for U.S. based staff) Location: GiveWell’s staff work primarily remotely within the U.S. and abroad. This position is eligible to work fully remotely. Offices: You are welcome but not required to work from our offices in Oakland, California; Brooklyn, NYC; or London, UK. We'll cover relocation expenses for candidates who wish to move to any of our physical office locations. International work: We are happy to employ staff internationally on a case-by-case basis. A successful candidate will need to commit to a work schedule that has some overlap with American working hours and the schedules of key coworkers. Flexibility: We support and encourage flexible working, including flexible hours, working remotely, and working from the office when you choose. The majority of our staff, including senior management, work flexibly in one way or another. Visa Sponsorship: If you want to work in the United States and need a work visa, we’ll do our best to sponsor it (and also cover up to 100% of relocation expenses on a case-by-case basis). Please note that government entities ultimately dictate our ability to sponsor visas. Travel: Research team members are sometimes required to attend international site visits and conferences (on average 1-2 per year), with additional travel for those interested in traveling more. Additionally, we strongly encourage staff members to attend annual department retreats and twice-annual whole org visit weeks to bond with other team members and complete in-person work. We'll discuss travel obligations in more detail during late stages of the hiring process, and we’ll accommodate staff who have conflicting obligations. Miscellaneous details: After application review, our hiring process consists of a short application exercise and up to 15 hours of compensated work trials and interviews. You can see more details about our hiring process on our FAQs page ! We devote significant staff capacity to initial application review, and we respond to all applications as quickly as possible. The application deadline for this role is October 30th . You don't need to submit a cover letter—we rely mainly on your resume and answers to the application questions below when we're making early decisions. About GiveWell GiveWell is dedicated to finding and evaluating highly cost-effective global health and development opportunities, and we publish all the work, reasoning, and uncertainties behind our funding decisions. Our giving funds enable donors to contribute to the most impactful and cost-effective programs our researchers identify. GiveWell is one of the world’s largest private funders of global development efforts. Trusted annually by tens of thousands of donors, GiveWell searches for highly cost-effective programs that save or improve lives the most. Since 2007, more than 150,000 donors have given over $2.6 billion through GiveWell to the most promising programs its research has identified, which we estimate will save more than 340,000 lives . GiveWell is most well-known for recommending a small number of Top Charities , which currently support seasonal malaria chemoprevention , insecticide-treated nets , vaccine incentivization , and vitamin A supplementation . However, most of our research capacity and grantmaking is devoted to cost-effective opportunities outside of those programs . GiveWell grants have: Helped governments navigate changes to the funding landscape and implement high-impact health programs, like HIV/syphilis screening and treatment for pregnant people in Zambia and Cameroon. Sought to scope and scale promising interventions that don’t have clear existing implementers. We are supporting the Clinton Health Access Initiative’s Incubator to identify potentially cost-effective interventions and create programs that we would be excited to support in the future. For example, we funded a program to prevent tuberculosis among young children in Uttar Pradesh and Bihar, India, that we co-designed with CHAI through the Incubator program. Provided funding to ensure that programs that recently faced foreign aid funding cuts could continue, like healthcare support and malnutrition treatment in northern Cameroon. Funded program delivery alongside strengthened monitoring and evaluation, as in our grants to support treatment of clubfoot and to evaluate the program . Tested our assumptions and refined our understanding through further research and data collection, including improved estimates of disease burden and studies on the effect of water chlorination on mortality and the impact of a tree-planting program on farmers’ income . We make our reasoning public and transparent so others can challenge it (sometimes we even pay people to point out our errors ). We go to unusual lengths to check our assumptions and assess our impact, including funding research to address our uncertainties and gathering independent monitoring and evaluation data about the programs we support. We change our minds when the evidence demands it. For more about GiveWell, listen to Ezra Klein’s recent interview with GiveWell’s co-founder and CEO Elie Hassenfeld. Additional information We don’t want to miss candidates that could do great things at GiveWell. Practically, that means a GiveWell staff member reviews every application carefully, considering the whole picture of your background and potential. If you’re on the fence about applying because you meet some but not 100% of our preferred qualifications (some studies suggest this hesitation is especially common for women and people of color), we encourage you to apply anyway. GiveWell is an Equal Employment Opportunity employer by choice. At minimum, this means that we comply with all federal, state, and local EEO and employment laws. Beyond the requirements of those laws, we value our team’s diversity in all respects, and we desire to maintain a work environment free of harassment or discrimination—we want our team members to thrive at GiveWell. If you need assistance or an accommodation due to a disability, contact us at careers@givewell.org. We will consider employment for qualified applicants with arrest and conviction records. By submitting an application, you acknowledge that you have read and consent to GiveWell's Privacy Statement for Applicants . By completing an application exercise, you acknowledge and assent to GiveWell's Work Trial Policy .

Location: New York; Stockholm Workplace: OnSite ABOUT US: AI NEEDS A NEW INFRASTRUCTURE LAYER. WE'RE BUILDING IT AT MODAL. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation. Our team includes creators of popular open-source projects (e.g.,Seaborn https://github.com/mwaskom/seaborn,Luigi https://github.com/spotify/luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. THE ROLE: We’re looking for a Detection & Response Engineer to build the systems that help us identify, investigate, and respond to threats across our platform. This is an engineering role focused on automation. You’ll build detections, investigation tooling, and response capabilities that scale with our infrastructure, using AI where it meaningfully improves signal, investigation speed, and operational effectiveness. You’ll work closely with infrastructure, platform, and security engineers to ensure every incident makes the platform more resilient. WHAT YOU'LL WORK ON: Detection Engineering - Design and build high-fidelity detections for attacks, abuse, and anomalous behavior across our infrastructure and production systems - Continuously improve detections based on telemetry, threat intelligence, and lessons learned from incidents - Improve visibility across cloud infrastructure, containers, identity systems, and production services Incident Response - Lead or participate in investigations spanning production infrastructure, cloud environments, and internal systems - Build playbooks and automation that reduce investigation time and improve response consistency - Drive post-incident improvements that eliminate entire classes of future incidents Security Tooling & Automation - Build internal tooling that improves detection, investigation, and response workflows - Leverage LLMs to automate repetitive analysis, accelerate investigations, and surface actionable insights from security telemetry - Improve the collection, quality, and usability of security telemetry across the platform Engineering Partnership - Partner with engineering teams to ensure new systems are observable and secure by default - Help teams instrument services with the telemetry needed for effective detection and response - Drive security improvements that make the platform easier to defend over time YOU MAY BE A FIT IF: - You have experience in detection engineering, incident response, security engineering, or software engineering with a strong security focus - You have strong software engineering skills and experience building production systems. - You’ve investigated security incidents in cloud-native or distributed environments - You’re familiar with modern cloud infrastructure, Kubernetes, Linux, and networking - You’ve built detections using logs, telemetry, behavioral signals, or large-scale event data. - You have strong SQL skills for investigating security events and developing detections - You’re interested in applying AI and LLMs to detection, investigation, and response, and in understanding emerging threats involving AI-powered systems - You have strong written and verbal communication skills NICE-TO-HAVE: - Experience building AI- or LLM-powered security tooling - Experience with SIEM, SOAR, or EDR platforms - Experience with Kubernetes security or large-scale cloud infrastructure - Experience with threat hunting, malware analysis, or digital forensics - Experience contributing to security operations in a high-growth engineering organization

Location: San Francisco, CA; New York, NY Workplace: OnSite ABOUT US At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. ABOUT THE TEAM The Security team ensures that while AI moves at breakneck speed, everyone driving the racecar is wearing a seatbelt. We secure LangChain's core platform and protect AI agents from emerging threats. We work across the stack so developers can confidently ship from prototype to production without compromising on safety or privacy. ABOUT THE ROLE You'll be the hands-on detection and response engineer responsible for how we see, stop, and learn from threats across LangChain's production platform, cloud infrastructure, and the services that host and execute agentic workloads. You'll partner closely with Product Security to turn threat models, vulnerabilities, and incidents into telemetry, detections, and durable defenses. Your primary focus is engineering: building detection, investigation, and response systems that scale the Security team's impact beyond what manual operations allow. We are looking for engineers who think like builders, not just operators — strong software skills are a must. This role participates in an incident on-call rotation, but its core focus is engineering systems that reduce risk, speed up investigations, and make incidents less frequent and less costly. Location/City: San Francisco or NYC WHAT YOU'LL DO - Own the detection lifecycle: Translate threat models, incidents, and attacker behavior into telemetry requirements and detections-as-code. Validate coverage, measure signal quality, tune false positives, and continuously test whether defenses work. - Build security monitoring and telemetry: Design the telemetry pipeline end-to-end across cloud (GCP/AWS), Kubernetes, and the LangSmith/LangGraph control plane. Instrument services, define the signals that matter, and make security data reliable and useful. - Engineer investigations and threat hunting: Build tools and workflows for proactive hunting, evidence collection, incident scoping, and containment. Turn investigation findings into new detections and lasting improvements. - Use agents to scale the team: Build reliable internal AI agents and automation that triage alerts, enrich findings, gather evidence, scope incidents, and accelerate routine security work. Design human-in-the-loop controls and evaluations so automation is safe, observable, and trustworthy. - Lead incident response and participate in on-call: Triage, scope, contain, and remediate security incidents, then drive postmortems that produce durable engineering changes. - Partner with Product Security: Turn product threat models and vulnerability findings into production monitoring, and feed real-world detection and incident learnings back into secure design. WHAT YOU'LL BRING - 5+ years in security engineering, with meaningful experience in detection engineering, security operations, or incident response — and the software skills to build your way out of repetitive work. - Strong software engineering in Python or Go (TypeScript a plus). You design maintainable systems and write production code, not just one-off scripts. - Cloud and Kubernetes detection depth: Experience with GCP or AWS logging, Kubernetes audit and runtime telemetry, workload identity, and turning raw signals into actionable detections. - Detection and adversary expertise: The ability to model realistic attacker behavior, hunt across complex systems, test detection coverage, and distinguish meaningful signal from noise. - Hands-on incident response: You've participated in on-call, led incidents, and written postmortems that changed how a team operates. - Experience building reliable automation or developer-facing systems: You can design APIs and workflows, instrument what you build, evaluate quality, and operate it in production. - A pragmatic product mindset: You can identify users and requirements, prioritize the highest-leverage problems, define success, and ship iteratively. NICE TO HAVE - Experience building or operating AI agents for security workflows such as alert triage, investigation, evidence collection, or human-in-the-loop response. - Proficiency using AI tooling to accelerate security investigations and engineering work. - Understanding of AI threats, adversarial testing, and the security boundaries of LLM and agent workloads. - Exposure to SOC 2 or ISO 27001 monitoring and evidence automation. - Experience with infrastructure as code such as Terraform or Helm. - Experience securing both SaaS and self-hosted or air-gapped deployments. Annual salary range: $185,000- $250,000 USD Compensation Philosophy: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.

Location: Philippines Workstream is a mission-driven company building the all-in-one HR, payroll, and hiring platform for managing the hourly workforce. There are 2.7 billion hourly workers, making up 80% of the global workforce, but this market has been heavily underserved by technology and deserves better. Workstream has been purpose-built for the hourly workforce from day one so that these businesses and their employees can thrive. Our customers include leading brands from multiple sectors, including Burger King, Carl's Jr./Hardee's, IHOP, KFC, and Culvers. We are a high growth series B company and quickly expanding our product portfolio to deliver on our vision. We are backed by legendary VCs and industry experts like Founders Fund, BOND, and Coatue. In addition to our core business, Workstream is home to a small, fast-moving Robotics team focused on advancing the next generation of artificial intelligence and robotics. We partner with a leading AI and robotics company to produce high-quality, large-scale egocentric (first-person) video datasets that help train advanced AI models. Grow With Us Workstream is looking for a Team Lead for Global Data Operations. In this role, you will serve as the frontline leader bridge between the Operations Manager and the Video Data Contributors / Quality Auditors. You will be responsible for daily team performance, real-time technical troubleshooting, and auditing video footage for accuracy, camera alignment, and data compliance. This is a high-impact role for someone who thrives in fast-paced tech operations, possesses strong attention to detail, and enjoys coaching a distributed team. Day In The Life Team Leadership & Daily Operations Lead, mentor, and monitor the daily output of a team of Video Data Contributors and Quality Reviewers . Track key team metrics including daily upload volume, active contributor retention, and error rates. Conduct regular Q&A sessions and support office hours to answer contributor questions on filming protocols and hardware setup. Foster high engagement and lower churn across a contract-based/distributed team. Technical Guidance & Quality Assurance Perform regular audits on uploaded video data to verify usability, camera positioning, lighting, and recording angles. Troubleshoot hardware setup issues (wearable multi-camera setups, head-straps, smartphone mounts) and resolve technical uploading bottlenecks (Google Drive, cloud tools). Identify recurring failure patterns in footage and work with the Operations Manager to update guidelines and training materials. Onboarding & Hardware Coordination Support the onboarding of new team members, conducting technical readiness checks and verifying required hardware/camera specs prior to project launch. Help manage local physical lab activities and equipment usage when transitioning to office-based operations. Compliance & Administration Enforce strict data privacy protocols (e.g., ensuring no PII or non-consented faces/sensitive items are present in footage). Track contributor hours, video task completion rates, and submission logs to assist management with compensation and bonus payouts. Recruitment Support & Onboarding Coordination Application Screening Support: Assist the Recruiting team by screening incoming applications against specific operational criteria (e.g., camera/smartphone hardware specs, workplace access, schedule availability). Onboarding Execution: Coordinate with People Ops to guide qualified candidates through document completion, NDA signing, and equipment setup, resolving bottlenecks to get contributors ready quickly. Pipeline Status Tracking: Track squad capacity and candidate conversion rates, flagging upcoming contributor shortages to the Recruiting team to trigger hiring drives before production targets are missed. Financial Reconciliation & Payroll Coordination Hours & Data Reconciliation: Audit weekly contributor activity logs against verified, usable video uploads to ensure the company only pays for approved footage. Finance Reporting: Consolidate squad data into accurate "Ready-to-Pay" reports and submit them to the Finance/Payroll team on scheduled payout cycles. Payout Support & Dispute Resolution: Act as the primary administrative contact for contributor payment inquiries, investigating and resolving discrepancies between submitted logs and final payouts. Who You Are Leadership Experience: 3+ years of experience as a Team Lead or Senior Specialist in BPO, AI Data Annotation, Marketplace Operations, or Tech Operations. Technical Aptitude: Tech-savvy with hands-on experience using multi-camera hardware, smartphones, or recording wearables. Ability to quickly master and teach multi-angle recording nuances. Eye for Quality: Exceptional attention to detail with experience auditing visual or data-driven deliverables. Communication: Excellent verbal and written English communication skills; comfortable hosting team syncs and drafting operational guidelines. Adaptability: Comfortable working with distributed/gig workforce structures and operating in a high-growth startup environment. Preferred Qualifications Prior experience in AI/Computer Vision data collection , Data Labeling , or Media Production/QA . Experience in hardware tracking or logistics management. Exposure to working with cross-functional global teams (US and Philippines). Working Conditions & Requirements Work Setup: Initial remote/work-from-home setup, transitioning to a hybrid/office-based setup in Metro Manila (2 to 4 days per week). Compliance: Strict policy on moonlighting; candidates must agree to background Know More About Workstream https://www.workstream.us/blog/funding-series-b https://techcrunch.com/2021/08/26/workstreams-text-based-recruitment-tool-gets-a-48m-bet-from-bond-and-beyond/ https://techbuzz.news/buzzworthy-august-27-2021/ Additional Information Workstream provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. We are committed to the full inclusion of all qualified individuals.

Location: Lithuania; Bosnia & Herzogovina; Estonia; North Macedonia; Slovakia; Andorra; Cheyenne; Slovenia; Serbia; Malta; Montenegro; Alabama; Ohio; Latvia; Vermont; Albania; Czech Republic; Mississippi; Wisconsin; Greece; Cyprus; Netherlands; Kosovo; Yerevan; California; Arizona; Bulgaria; Oregon; Moldova; Romania; Georgia; United Kingdom; Bosnia and Herzegovina; Turkey; Portugal; Poland; Czechia; Croatia; South Africa Workplace: Remote [https://app.ashbyhq.com/api/images/user-content/b540b9e2-0673-4d2d-91fd-e293658f4f6a/12c04a5f-f67c-413f-8009-500f82e7e51e/job%20ad%20visual.png] Please be informed that Foxelli Group hires exclusively in-house and doesn't work with any external recruitment agencies. Any company or individual claiming to recruit on behalf of Foxelli Group is not affiliated with us. At Foxelli, we’re building more than e-commerce brands - we’re building a tribe of thoughtful humans: AI enthusiasts, curious builders, and ambitious minds who care about doing meaningful work together. Ten years in, our D2C brands reach millions and generate over $20M annually. Our focus stays simple: create products customers love and a team that actually enjoys building them. If you love to learn, experiment, think boldly, make decisions, and build things that matter - you’ll feel at home with us. WHY JOIN FOXELLI? Foxelli is a place for people who think deeply, learn quickly, automate repetitive work, enjoy spending time together, and build things that matter. We work hard, joke often, and don’t take ourselves too seriously. If you’re excited about AI, eager to learn, and want to create work that genuinely means something with people who care, you’ll feel right at home with us - no matter where you are in your career. THE ROLE We're looking for a Churn Specialist for our craft subscription box brands to help us get closer to our customers - understand what they actually need, spot where we're falling short, and find ways to retain them. You'll work across multiple Foxelli Group brands, investigate the full customer lifecycle, and turn data into initiatives that actually move the needle on retention. You won't just track churn numbers. You'll own the thinking behind what is happening with the brand and drive the ideas to help retain our customers. If you love: - getting into customer data and finding the story behind the numbers - mapping out a customer journey and spotting where things go wrong - testing ideas - onboarding tweaks, lifecycle flows, CRO experiments, win-back sequences, etc - using AI and automations to move faster and do more with less - understanding what makes customers stay (or leave) on a psychological level - working across multiple products and brands without losing focus - working with crafts like knitting, crochet, and quilting And if you're someone who can take a messy churn problem, break it down into clear hypotheses, and see them through to results… …you might be our person 👀 🚀 WHAT YOU'LL BE DOING Churn Analysis & Research - Analyse churn patterns across multiple Foxelli brands - when customers drop, which segments are most at risk, and what's driving it - Research competitors and benchmark what best-in-class retention looks like in our space - Use AI tools to accelerate research, surface insights, and identify patterns - Build a clear picture of our customers - their motivations, frustrations, and what "good enough to stay" actually means to them Customer Journey & Onboarding - Audit the full customer lifecycle with a churn lens - from first-touch onboarding to long-term engagement - Identify drop-off moments and experience gaps that are costing us customers - Own initiatives to improve onboarding flows and early-stage activation Retention Initiatives & Experimentation - Develop hypotheses and run experiments - lifecycle communications, CRO tests, loyalty mechanics, win-back campaigns, cancellation flows - Build and maintain automations that support retention at scale - triggered flows, at-risk alerts, personalised sequences - Use AI to generate ideas, draft copy, simulate scenarios, and iterate faster - Track the impact of every initiative and iterate based on results - Document what worked, what didn't, and why AI & Automations - Build and maintain automations that support retention initiatives at scale - Proactively explore how AI can improve the way we understand and respond to churn - Stay current with new tools and bring ideas to the table before anyone asks WHAT YOU BRING - At least 2 years of experience of direct experience fixing actual churn for a physical product - Proven experience diagnosing churn, not just reporting on it, but getting to the root of it - Comfortable working with data: cohort analysis, funnel metrics, A/B test results - Hands-on experience with customer journey mapping, onboarding optimisation, or CRO - Experience building automations: triggered flows, lifecycle sequences, or similar - Able to turn messy data into a clear point of view and present it to senior stakeholders - Has worked across multiple products or brands - Uses AI tools beyond basic prompts and actively looks for ways to automate and improve workflows THE RECRUITMENT PROCESS 1. Apply - A simple form that helps us know who’s stepping into our world. 2. Ribbon AI Interview - Ribbon is a short, guided video step that helps us understand your thinking style in a calm, private space 3. Text Task - A small real-world challenge so we can see how you approach problems in action. 4. Interview - A conversation with your manager to feel the work chemistry, get to know each other, and explore what we could build together FIXED SERVICE FEE 2,500 - 2,800 euros after taxes (depending on your skills, competencies, and experience). PERKS & BENEFITS - Full flexibility with your schedule in a fully remote setting, while Apploye ensures transparency and fairness. - Complimentary gym memberships and company-sponsored outdoor adventures for your strength and to keep your physical well-being in check. - A personal development budget is at your disposal for your personal and professional growth to ensure you keep growing continuously. - Generous paid time off, including parental leave and vacation days, to recharge and rejuvenate and ensure you’re well-rested. - A budget for your home office setup so you’re comfortable working how you like and where you like. - Strong company culture and a network of unique individuals that celebrate you. ELIGIBILITY & LOCATION REQUIREMENTS ❕This role is 100% remote. - Our tribe works primarily in the Eastern European Time Zone (EET — UTC+2/UTC+3). We also use Revolut for payments, so we are open to hiring candidates in countries where Revolut payments are supported. - For full-time roles, we ask that you’re available for at least 5 hours during typical EET working hours — it keeps collaboration smooth and communication easy. (This doesn’t apply to part-time roles.) Currently, we are hiring in Albania, Bosnia and Herzegovina, Croatia, Czech Republic, Estonia, Greece, Georgia, Kosovo, Latvia, Lithuania, Moldova, Montenegro, North Macedonia, Poland, Portugal, Romania, Slovakia, Malta, Slovenia, Serbia, Cyprus, Bulgaria, Hungary, Netherlands, the United Kingdom, and South Africa.

Location: New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Claude serves millions of individual users alongside enterprise clients. Safeguards Engineering develops the foundational infrastructure that ensures its safe use: robust access controls, active abuse detection, real-time probes and classifiers within the inference pipeline, offline monitoring for review, and the underlying systems powering it all. Operating at scale and velocity, we continuously adapt to technology whose capabilities and risks evolve weekly. The Safeguards Data team owns the data lifecycle for Safeguards—routing user data and safety metadata from online systems into offline storage and enabling access for downstream teams. Our goal is to provide privacy-safe access to sensitive data for approved uses while ensuring performance, reliability, and minimal blast radius. We prioritize security by design, embedding controls directly into systems operating across AWS, GCP, Azure, and customer-managed environments. This is a systems engineering position within a small, newly established team. Rather than managing an existing backlog, you will have the autonomy to own a problem domain, establish its technical vision, and shape the team's trajectory. Key responsibilities Design, build, and operate the stores, pipelines, schemas, and APIs that Safeguards' detection, evaluation, investigation, and review systems read from. Build privacy-safe interfaces that allow ML training, evaluation, and investigation workflows to utilize sensitive data without requiring broad access to raw records, ensuring access is tied to purpose and built-in lineage. Scale the distributed storage, ingestion, and processing systems operated by Safeguards, maintaining cost efficiency, reliability, and portability across deployment environments. Collaborate with investigators, researchers, legal, privacy, and security teams to translate operational requirements into functional mechanisms and systems for safe data utilization. Uphold a high operational bar by participating in the on-call rotation, leading incident reviews, and continuously reducing manual operational overhead. Lead through technical design by authoring foundational proposals and conducting cross-team architectural reviews. Minimum qualifications Have strong systems fundamentals (processes, threads, RPC, storage, and how systems fail) and have built and operated large-scale, fault-tolerant distributed systems Have built and operated systems that handle sensitive or high-value data, with access, privacy, retention and security controls designed in from the start Have a track record of building platforms or internal tooling that other teams widely adopt Have led the technical design of projects that span several engineers or teams Learn quickly and adapt: you're comfortable with ambiguity, a fast pace, and systems or languages you haven't used before Care about the impact of your work and about making AI safe, use good judgment about what matters most, and can explain technical trade-offs to non-technical partners Preferred qualifications Proficiency in one or more systems languages (e.g., C, C++, Rust, Go) 8+ years of experience as a software engineer, and a Bachelor's degree in Computer Science, Software Engineering or comparable professional experience Experience building data infrastructure for ML: training datasets, offline batch inference or evaluation Experience with data governance requirements in a regulated or high-sensitivity domain Fluency with agentic coding tools such as Claude Code The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $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: Home Based - Americas; Home Based - APAC; Home based - EMEA With more than 10 billion pulls , Canonical's container images are trusted by developers worldwide to build and run software securely and at scale. That trust rests on our commitment to hardened, production-ready images. We are advancing the state of the art with a new generation of Ubuntu-based container images we call "rocks": minimal images engineered for performance and usability and backed by long-term security commitments. As a member of the team, you will own the path from upstream source to published image, turning open source software into tested, signed, and continuously maintained artifacts that developers can deploy with confidence. This is fast-paced, multi-disciplinary software engineering. Because most of the software we package originates from third-party upstreams, you will work across a broad range of container technologies and hundreds of open source projects, often in several programming languages, integrating and maintaining them so they are easy to consume on Ubuntu. Automation is central to the role: you will build the pipelines that package, build, test, and publish images at scale. Your seniority in this role will reflect your software engineering experience and your ability to mentor and guide more junior colleagues. Location: This is a globally remote role This role entails Build and maintain a growing portfolio of high-quality, hardened container images Design and operate automated CI/CD pipelines that build, test, scan, sign, publish, promote, and retire images across environments and architectures Write tooling and tests to assess security compliance and cloud-native compatibility Work closely with the community and partners to share container expertise and keep our portfolio current with new features, patches, and applications Collaborate with our product security, platform, infrastructure, and customer-facing teams Contribute technical input to the team's decision-making Set the standard for quality, defining image standards that span security, compatibility, performance, size, and developer experience Grow our knowledge base and write about the work we do Work in a collaborative, agile, and globally distributed environment Mentor colleagues and contribute to hiring Work from home with global travel of up to 15% for internal and external events What we are looking for in you Proficiency in Bash and Python Experience working with CI/CD systems (e.g. GitHub Actions, Jenkins) Experience building container images Command of at least one container management or orchestration tool (e.g. Docker, Podman, or Kubernetes) Hands-on experience with Linux systems, package management, build systems, release engineering, or artifact pipelines Clear communication and end-to-end ownership, spanning design, review, documentation, operation, and cross-team collaboration A commitment to sharing knowledge and helping those around you grow A genuine appetite for learning and for working outside your comfort zone A Bachelor's degree or equivalent in Computer Science, a STEM field, or a similar discipline An exceptional academic track record from both high school and university Business level written and spoken English. Sincere personal motivation aligned with our mission. International travel 2-4 times a year for company events up to two weeks long. 0-7 years relevant experience. In addition we expect that you will match our values, by being: Precise, taking care to deliver correctness and clarity. Reliable, delivering high quality work that builds trust and confidence. Accessible, collaborating to build products and systems that are usable. Adroit, blending enthusiasm, knowledge, adaptability, style and character. Nice-to-have skills A security-oriented maintenance mindset: you can investigate dependency and vulnerability findings, assess their impact, and deliver a safe fix An understanding of software supply chain security, with some experience generating and consuming artifacts such as SBOMs, signatures, provenance, or CVE reports Familiarity with GitOps principles and workflows Familiarity with additional languages such as Go or Rust Hands-on experience building minimal and distroless container images Knowledge of the OCI specifications Familiarity with security or compliance frameworks such as CIS, NIST, FedRAMP, or DISA STIG Evidence of contributions to open source projects A passion for embedding security across all stages of the engineering lifecycle (DevSecOps), and an interest in using AI or agentic development responsibly and safely Relevant Linux, container, or cloud-native certifications (such as CKS or DCA) are welcome If your experience is close but does not match every requirement, we encourage you to apply. We value transferable experience from Linux packaging, release engineering, build systems, platform engineering, and open-source maintenance. What we offer colleagues We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognize outstanding performance. In addition to base pay, we offer a performance-driven annual bonus. We provide all team members with additional benefits, which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally. Distributed work environment with twice-yearly team sprints in person Personal learning and development budget of USD 2,000 per year Bi-annual compensation review Company recognition rewards 40 days annual leave per annum, including public holidays and our All Company holiday periods Maternity and paternity leave Team Member Assistance Program & Wellness Platform Opportunity to travel to new locations to meet colleagues, with Priority Pass for lounge access About Canonical Canonical is a pioneering tech firm at the forefront of the global move to open source. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation, and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. We are founder-led, profitable, and growing. Powered by worldwide distributed collaboration since our inception in 2004, we believe tech and business leadership can emerge anywhere. We have no central headquarters. Most of us work from home, but we are exceptionally disciplined about this. We have very high expectations of all colleagues, and are champions of excellence. Working here is a step into the future and will challenge you to think differently, work smarter, learn new skills, and raise your game. Canonical is an equal opportunity employer We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration .

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 an exceptional technical foundation. You have 7+ years as a Data Analyst or Analytics Lead in the AdTech domain, with mastery in SQL and Python for processing multi-terabyte ad impression, bidding, and conversion event streams. - Focused on data quality and anomaly detection. You have extensive experience building anomaly detection frameworks using clustering, distribution analysis, and cross-population comparison to catch data drift, tracking drops and discrepancies before they create severe impact. - You own the systems, not just your slice. You hold a technical helicopter view of the full AdTech data stack: tracking specs, API integrations, data lake architecture, and event pipelines. You can evaluate technical tradeoffs and guide engineering on infrastructure improvements. - Automation-minded across the stack. You establish team-wide technical standards, building production-grade data quality suites, automated monitoring pipelines, and reusable analytics modules. Hands-on experience with dbt and Airflow is required. - Technical leader and strategic advisor. You elevate the entire team's technical bar, drive cross-functional alignment between engineering, product, and commercial stakeholders, and turn complex data telemetry into clear strategies that level up our ad tools and operations.   🌎 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: Hanoi OR Ho Chi Minh City WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform. WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement. Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it. The Role: We are looking for a Quantitative Developer to join our team in Vietnam. This is an opportunity for a technically strong, early-career candidate to build the automation and tools that support critical business workflows. You will work alongside experienced engineers to solve technical problems, develop robust internal platforms, and improve the efficiency of complex systems. You will also gain hands-on exposure to production environments by helping monitor workflows, investigate issues, and support on-call activities What You'll Do: Monitor production systems, scheduled jobs, data processes, and automated workflows; identify and bring up issues appropriately Investigate technical issues across applications, data processes, and infrastructure; contribute well-tested fixes under guidance Design, build, and maintain internal tools, automation, interfaces, and services that improve business workflows Improve system reliability, observability, documentation, and team productivity Collaborate with engineers and stakeholders to understand requirements and translate them into practical technical solutions Contribute to code reviews, testing, release validation, and user documentation Assist the on-call team with incident triage, diagnostics, communication, validation, and follow-up activities Identify repetitive manual tasks and build automation to reduce operational overhead What You’ll Bring: Bachelor's/ Master's degree or equivalent experience in Computer Science, Engineering, or a related field Solid practical experience in Python and/or C++ Good knowledge of Bash scripting and Linux environments Familiarity with version control systems such as Git Interest in automation, production systems, operational tooling, and reliable software delivery Strong analytical and logical thinking, with a methodical approach to solving problems Meticulous, with a high standard for accuracy, quality, and reliability A self-starter who takes ownership of assigned work and knows when to seek guidance or escalate Comfortable handling multiple tasks and priorities in a fast-paced environment Able to learn quickly and adapt to unfamiliar technologies and complex systems Effective and concise communicator in English, both written and verbal Solid understanding of Claude or other LLM tools, and an understanding of how to apply them effectively across debugging, problem analysis, solution design, testing, and documentation Uses LLM tools with sound judgment and critical thinking — as a force multiplier for quality, speed, and clarity, not as a substitute for engineering discipline Brings a continuous-improvement approach and contributes to improving team processes, documentation, and automation What We Offer: Competitive and attractive compensation package with clear career road-map – where you feel challenged everyday We offer a strong culture of learning and development: training courses, library, speakers, share and learn events Learn from who sits next to you! Working in WQ you are surrounded by smart and talented people Premium Health Insurance and Employee Assistance Program Generous time-off policy, re-creation sabbatical leave (based on tenure), Trade Union benefits for staff and family Team building activities every month: Local engagement events, monthly team lunch – Employee clubs: football, ping-pong, badminton, yoga, running, PS5, movies, etc. Annual company trip and occasional global conferences – opportunity to travel and connect with our global teams Happy-hour with tea break, snacks and meals every day in the office! #LI-VP1 By submitting this application, you acknowledge and consent to terms of the WorldQuant Privacy Policy. The privacy policy offers an explanation of how and why your data will be collected, how it will be used and disclosed, how it will be retained and secured, and what legal rights are associated with that data (including the rights of access, correction, and deletion). The policy also describes legal and contractual limitations on these rights. The specific rights and obligations of individuals living and working in different areas may vary by jurisdiction. Copyright © 2025 WorldQuant, LLC. All Rights Reserved. WorldQuant is an equal opportunity employer and does not discriminate in hiring on the basis of race, color, creed, religion, sex, sexual orientation or preference, age, marital status, citizenship, national origin, disability, military status, genetic predisposition or carrier status, or any other protected characteristic as established by applicable law.

Location: United States, San Diego, CA 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. PlayStation isn’t just the Best Place to Play — it’s also the Best Place to Work. Today, we’re recognized as a global leader in entertainment producing The PlayStation family of products and services including PlayStation®5, PlayStation®4, PlayStation®VR, PlayStation®Plus, acclaimed PlayStation software titles from PlayStation Studios, and more. PlayStation also strives to create an inclusive environment that empowers employees and embraces diversity. We welcome and encourage everyone who has a passion and curiosity for innovation, technology, and play to explore our open positions and join our growing global team. The PlayStation brand falls under Sony Interactive Entertainment, a wholly-owned subsidiary of Sony Corporation. Staff Software Engineer – Data Do you want to join a team of talented engineers building the next generation of real-time data platforms that power analytics and data-driven experiences across PlayStation? As part of our Data Platform team, you will play a key technical leadership role in designing and evolving the Real-Time Analytics Platform (RTAP), enabling high-throughput, low-latency analytics and stream processing at PlayStation scale. The Software Engineers within our Platform Engineering Group design, build, document, and operate large-scale distributed data platforms that support real-time and near real-time analytics across PlayStation. You will solve complex distributed systems challenges, evolve our streaming and analytics architecture, integrate AI-powered platform capabilities, and improve scalability, reliability, performance, and developer productivity. We’re looking for someone who is passionate about distributed systems, real-time analytics, and building scalable data platforms. You will work closely with Engineering, Product, Infrastructure, Security, and Data Engineering teams to shape technical strategy, influence architecture across organizations, mentor engineers, and help drive the long-term evolution of PlayStation’s data platform. Responsibilities · Design, build, and operate large-scale distributed data systems that power real-time and near real-time analytics,, and data-driven applications across PlayStation. · Lead the architecture and evolution of RTAP’s stream processing and analytics platforms, improving scalability, reliability, performance, and developer productivity. · Own critical platform capabilities end-to-end from architecture and implementation through production operations, performance optimization, reliability, and lifecycle management. · Build and optimize distributed data services using technologies such as Apache Flink, Spark Structured Streaming, ClickHouse, and Apache Druid to support high-throughput, low-latency workloads. · Partner with Data Engineering teams to integrate batch and streaming workloads using modern lakehouse architectures and build interoperable, scalable data platforms. · Build AI-powered capabilities to automate engineering workflows, improve data quality, simplify platform operations, accelerate troubleshooting, and enhance developer productivity. · Establish technical standards and engineering best practices for distributed systems, stream processing, data modeling, query optimization and platform reliability. · Mentor engineers across the organization by reviewing architecture, designs, and code while raising the technical bar through coaching and technical leadership. · Partner with Product, Infrastructure, Security, and Platform Engineering teams to define long-term technical strategy and deliver scalable platform capabilities aligned with business priorities. · Investigate and resolve complex production challenges involving high-throughput, low-latency distributed systems, ensuring high availability and operational excellence. · Participate in the team's production support and on-call rotation, leading incident response, conducting root-cause analysis, and implementing reliability improvements that strengthen the platform over time · Evaluate emerging technologies and distributed data platforms, recommending investments that improve scalability, reliability, developer productivity, and cost efficiency. Requirements · Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience. · 8+ years of experience designing and building large-scale distributed systems, with expertise in real-time data processing, analytics, or data platform engineering. · Strong proficiency in Python , with experience building production-grade distributed systems and data processing applications. Experience with Scala is beneficial for supporting and evolving existing platform components. · Hands-on expertise designing and operating large-scale stream processing applications using Apache Flink , Apache Spark Structured Streaming , or equivalent distributed streaming technologies. · Production experience designing, operating, and optimizing distributed analytics platforms using ClickHouse , Apache Druid , or equivalent high-performance OLAP/analytics databases, including query optimization, data modeling, and performance tuning at scale. · Experience building and consuming event-driven data pipelines using AWS MSK , Apache Kafka , or equivalent messaging platforms, with a focus on developing reliable, scalable data processing applications. · Experience applying AI/ML techniques and modern AI tooling to automate engineering workflows, improve data pipelines, simplify platform operations, and enhance developer productivity. · Strong systems design skills with the ability to evaluate architectural trade-offs across scalability, latency, throughput, consistency, reliability, and cost. · Demonstrated technical leadership through architecture ownership, mentoring engineers, and influencing technical decisions across multiple teams. Nice to Have · Experience with Databricks , Apache Iceberg , or modern lakehouse architectures, with the ability to design and integrate batch and streaming workloads into scalable, production-grade data platforms. · Experience building or operating multi-tenant, self-service data platforms supporting multiple engineering organizations. · Experience collaborating with globally distributed engineering teams across multiple organizations and time zones to deliver shared platform capabilities and drive technical alignment. Your First 90 Days 30 Days: Develop a strong understanding of the platform’s architecture, capabilities, engineering practices, and roadmap.Begin contributing to architecture discussions, feature development, design reviews, and production support.Build relationships within the team as well as across  the Data Platform organization. 60 Days: Take technical ownership of a major platform capability or architectural area. Identify opportunities to improve scalability, performance, reliability, or developer productivity.Collaborate with Data Engineering, Infrastructure, Product, and other partner teams on cross-platform initiatives. 90 Days: Lead the design and delivery of key roadmap initiatives for the team..Influence technical direction across teams and mentor engineers on distributed systems and platform engineering best practices.Establish clear architectural recommendations for the next phase of the platform’s evolution. In 90 days, you will have a detailed understanding of the Real-Time Analytics Platform and its role within PlayStation’s broader data ecosystem. You will be comfortable owning complex distributed systems initiatives, partnering closely with Product and Engineering teams, and driving large-scale solutions from architecture through production delivery. At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more. The estimated base pay range for this role is listed below. $198,200 — $297,400 USD 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: Oakland, California, United States From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. ​ During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About the Role Fivetran and dbt Labs is building data pipelines to power the modern data stack for thousands of companies. We're looking for a senior software engineer to join our Metadata team, which owns the metadata layer of the dbt platform — the discovery API, catalog, lineage, and run history services that let customers understand, trust, and act on what their data is doing. You'll own the design and delivery of features end to end, working across high-throughput APIs and data models to make them faster, more reliable, and more capable. You'll write and review designs, raise the quality bar in code review, use the latest AI tools, and collaborate closely with product and QE to deliver work that scales. Technologies You’ll Use Python, Rust, GraphQL, Postgres, Snowflake, Kafka, Kubernetes, Docker, AWS, GCP, Datadog What You’ll Do Design and implement features and performance improvements across the Metadata team's services — discovery API, catalog, lineage, and run history Develop, maintain, and test high-quality, maintainable code, and optimize critical paths for performance Write technical designs for feature-level work, actively seek feedback, and clearly explain the trade-offs of your decisions Participate in and review technical designs and pull requests, providing constructive feedback to the team Improve test coverage with comprehensive unit tests and refactor code to drive down tech debt Troubleshoot and debug production issues, and follow up on incidents with post-mortems and mitigation plans Break features into tasks, structure and execute your own project plans, and contribute to sprint and feature planning Collaborate with product managers, QE, customer support, and peers to deliver the best product with high quality, performance, and scalability Participate periodically in the on-call rotation, and be mindful of security throughout your work Use AI tooling — IDE assistants like GitHub Copilot, coding agents like Claude Code, and conversational AI — to accelerate development and to author and review SDLC artifacts such as TDDs, PRDs, post-mortems, and test plans Skills We’re Looking For 5+ years of experience in the software industry with a passion for solving complex software engineering problems, including designing and building backend services and reusable components from the ground up Experience working with distributed systems and cloud computing concepts Demonstrated ability to write well-structured, performant, and well-tested code Ability to independently lead feature-level software and design work that satisfies project requirements, and to clearly explain design trade-offs Can identify design flaws in existing systems and propose improvements Experience with code reviews, design, troubleshooting, and testing Proficiency in a modern backend or systems language such as Python, Java, C++, or C# Hands-on experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes) Experience with continuous integration tooling such as BuildKite, and familiarity with observability tools like Datadog or Grafana is a plus Fluent in using AI code assistants and coding agents to generate and investigate code, and conversational AI (e.g. Claude, ChatGPT) to research, author, review, and synthesize SDLC artifacts Bonus Skills​ Experience in data processing (ETL, ELT) and/or cloud-based data platforms Experience building or working with metadata, catalog, lineage, or discovery/search systems Experience with GraphQL APIs and high-throughput, multi-tenant data services Familiarity with the analytics engineering workflow and the dbt ecosystem The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role.  Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process. Oakland Pay Range $174,915 — $209,906 USD Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

Location: Denver, Colorado, United States, AMER From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. ​ During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About the Role Fivetran and dbt Labs is building data pipelines to power the modern data stack for thousands of companies. We're looking for a senior software engineer to join our Metadata team, which owns the metadata layer of the dbt platform — the discovery API, catalog, lineage, and run history services that let customers understand, trust, and act on what their data is doing. You'll own the design and delivery of features end to end, working across high-throughput APIs and data models to make them faster, more reliable, and more capable. You'll write and review designs, raise the quality bar in code review, use the latest AI tools, and collaborate closely with product and QE to deliver work that scales. Technologies You’ll Use Python, Rust, GraphQL, Postgres, Snowflake, Kafka, Kubernetes, Docker, AWS, GCP, Datadog What You’ll Do Design and implement features and performance improvements across the Metadata team's services — discovery API, catalog, lineage, and run history Develop, maintain, and test high-quality, maintainable code, and optimize critical paths for performance Write technical designs for feature-level work, actively seek feedback, and clearly explain the trade-offs of your decisions Participate in and review technical designs and pull requests, providing constructive feedback to the team Improve test coverage with comprehensive unit tests and refactor code to drive down tech debt Troubleshoot and debug production issues, and follow up on incidents with post-mortems and mitigation plans Break features into tasks, structure and execute your own project plans, and contribute to sprint and feature planning Collaborate with product managers, QE, customer support, and peers to deliver the best product with high quality, performance, and scalability Participate periodically in the on-call rotation, and be mindful of security throughout your work Use AI tooling — IDE assistants like GitHub Copilot, coding agents like Claude Code, and conversational AI — to accelerate development and to author and review SDLC artifacts such as TDDs, PRDs, post-mortems, and test plans Skills We’re Looking For 5+ years of experience in the software industry with a passion for solving complex software engineering problems, including designing and building backend services and reusable components from the ground up Experience working with distributed systems and cloud computing concepts Demonstrated ability to write well-structured, performant, and well-tested code Ability to independently lead feature-level software and design work that satisfies project requirements, and to clearly explain design trade-offs Can identify design flaws in existing systems and propose improvements Experience with code reviews, design, troubleshooting, and testing Proficiency in a modern backend or systems language such as Python, Java, C++, or C# Hands-on experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes) Experience with continuous integration tooling such as BuildKite, and familiarity with observability tools like Datadog or Grafana is a plus Fluent in using AI code assistants and coding agents to generate and investigate code, and conversational AI (e.g. Claude, ChatGPT) to research, author, review, and synthesize SDLC artifacts Bonus Skills​ Experience in data processing (ETL, ELT) and/or cloud-based data platforms Experience building or working with metadata, catalog, lineage, or discovery/search systems Experience with GraphQL APIs and high-throughput, multi-tenant data services Familiarity with the analytics engineering workflow and the dbt ecosystem The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role.  Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process. Denver Pay Range $163,920 — $196,712 USD Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

Location: Ontario, Canada From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. ​ During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About the Role Fivetran and dbt Labs is building data pipelines to power the modern data stack for thousands of companies. We're looking for a senior software engineer to join our Metadata team, which owns the metadata layer of the dbt platform — the discovery API, catalog, lineage, and run history services that let customers understand, trust, and act on what their data is doing. You'll own the design and delivery of features end to end, working across high-throughput APIs and data models to make them faster, more reliable, and more capable. You'll write and review designs, raise the quality bar in code review, use the latest AI tools, and collaborate closely with product and QE to deliver work that scales. Technologies You’ll Use Python, Rust, GraphQL, Postgres, Snowflake, Kafka, Kubernetes, Docker, AWS, GCP, Datadog What You’ll Do Design and implement features and performance improvements across the Metadata team's services — discovery API, catalog, lineage, and run history Develop, maintain, and test high-quality, maintainable code, and optimize critical paths for performance Write technical designs for feature-level work, actively seek feedback, and clearly explain the trade-offs of your decisions Participate in and review technical designs and pull requests, providing constructive feedback to the team Improve test coverage with comprehensive unit tests and refactor code to drive down tech debt Troubleshoot and debug production issues, and follow up on incidents with post-mortems and mitigation plans Break features into tasks, structure and execute your own project plans, and contribute to sprint and feature planning Collaborate with product managers, QE, customer support, and peers to deliver the best product with high quality, performance, and scalability Participate periodically in the on-call rotation, and be mindful of security throughout your work Use AI tooling — IDE assistants like GitHub Copilot, coding agents like Claude Code, and conversational AI — to accelerate development and to author and review SDLC artifacts such as TDDs, PRDs, post-mortems, and test plans Skills We’re Looking For 5+ years of experience in the software industry with a passion for solving complex software engineering problems, including designing and building backend services and reusable components from the ground up Experience working with distributed systems and cloud computing concepts Demonstrated ability to write well-structured, performant, and well-tested code Ability to independently lead feature-level software and design work that satisfies project requirements, and to clearly explain design trade-offs Can identify design flaws in existing systems and propose improvements Experience with code reviews, design, troubleshooting, and testing Proficiency in a modern backend or systems language such as Python, Java, C++, or C# Hands-on experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes) Experience with continuous integration tooling such as BuildKite, and familiarity with observability tools like Datadog or Grafana is a plus Fluent in using AI code assistants and coding agents to generate and investigate code, and conversational AI (e.g. Claude, ChatGPT) to research, author, review, and synthesize SDLC artifacts Bonus Skills​ Experience in data processing (ETL, ELT) and/or cloud-based data platforms Experience building or working with metadata, catalog, lineage, or discovery/search systems Experience with GraphQL APIs and high-throughput, multi-tenant data services Familiarity with the analytics engineering workflow and the dbt ecosystem The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role. Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process. Ontario Pay Range $139,869 — $167,849.50 CAD Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.