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Location: San Francisco, CA • New York, NY • United States Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! As a Security Scientist, you will leverage your data analysis skills and help identify and drive impactful projects to improve the safety and security of Figma's product, platform, and our IT systems. The mission of the Figma Security team is to help Figmates ship the most secure and safe product to our users. We are looking for security scientists with a strong grasp of security and anti-abuse fundamentals. You will partner closely with teams in Security Engineering as well as teams across the company to focus on systemic security and safety improvements and risk reduction. You will also apply your security expertise and analytical skills to support and participate in security design reviews and consulting, incident response, and risk management. This is a full time role that can be held from one of our US hubs or remotely in the United States. What you'll do at Figma: Collaborate cross-functionally across the company to understand existing security and anti-abuse problems and work with engineering, product, data science, and other teams on solutions Understand attacker and user behavior on the Figma platform and inside Figma through creation of new datasets, metrics, experimentation, etc., and guide strategy and decision making Build detections, tune signal quality, and measure coverage across Figma's products, platforms, and internal systems, turning attacker behavior into durable, data-driven detections Lead and support security investigations, developing the datasets, tooling, and analysis that help us scope incidents, understand root cause, and reduce time to detect and respond Translate threat intelligence into action, operationalizing intel on relevant threat actors and techniques to prioritize detection coverage, harden high-risk surfaces, and guide security strategy Conduct investigations and design reviews to identify current and new attack vectors against Figma products and services Advocate for security and secure practices throughout Figma We'd love to hear from you if you have: Strong understanding of real-world security, anti-abuse, and detection and response challenges Fluency in SQL, with proficiency in Python, R, or a similar scripting language Experience working with distributed data processing systems and frameworks such as Hive, Redshift, Presto, Snowflake, or Spark Strong knowledge of statistical methods and experimental design Excellent judgment and creative problem-solving skills While it's not required, it's an added plus if you also have: A self-starting mindset along with strong communication and collaboration skills At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you're excited about this role but your past experience doesn't align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. Pay Transparency Disclosure Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location. Figma offers equity to employees, as well as a competitive package of additional benefits, including health, dental, and vision coverage; retirement benefits with company contributions; parental leave and reproductive or family planning support; mental health and wellness benefits; and paid time off. Figma provides paid sick leave, holidays, and other leave benefits in compliance with applicable federal, state, and local laws, including the requirements of the Washington Minimum Wage Act and related regulations. Exempt employees are eligible for employer‑provided paid flexible PTO in addition to flexible paid sick leave. PTO is subject to manager approval. Additional benefits may include company recharge days, cell phone and home internet reimbursements, and a number of lifestyle spending accounts. Figma also offers sales incentive compensation for most sales roles and an annual bonus plan for eligible non-sales roles. All compensation and benefits are subject to applicable plan terms and may be modified by Figma at any time, consistent with applicable law. Annual Base Salary Range: $140,000 — $348,000 USD At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an equal opportunity workplace - we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status , or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to accommodations-ext@figma.com . These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities. Examples of accommodations include but are not limited to: Holding interviews in an accessible location Enabling closed captioning on video conferencing Ensuring all written communication be compatible with screen readers Changing the mode or format of interviews To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding. By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with Figma's Candidate Privacy Notice . Application limits: To help candidates focus on the opportunities most relevant to their skills and experience, Figma limits the number and frequency of applications. These limits apply to all roles: Candidates may submit up to 5 applications during any rolling 30-day period. Candidates may not reapply to the same role while an application is active or within 90 days of receiving a rejection. Once the applicable days has passed, candidates are welcome to apply again.

Location: Remote About us OpenZeppelin is the security standard onchain finance is built on. Founded in 2015, our mission is to accelerate the world's transition to an open financial system, built on open standards and secured by rigorous research. Our open-source Contract Libraries have facilitated over $35 trillion in onchain value and are used by 10 of the top 10 tokenized money market funds and 9 of the top 10 stablecoins by market cap. We combine AI-native security tooling with deep research and a decade of audit expertise to support leading institutions and crypto-native teams shaping the next generation of digital assets like DTCC, Fidelity, Coinbase, Uniswap, Aave, the Ethereum Foundation, and many more across the full secure development lifecycle. Please note: Always refer to OpenZeppelin's official job page for the most accurate information about our open roles, as we have seen multiple third party job sites posting inaccurate information. The IT & Security Team The Information Security function operates independently under our Legal team and owns everything that keeps the OpenZeppelin organization secure. That means managing our Security, Privacy & IT Program end-to-end: our SOC 2 and ISO 27001 posture, vendor and privacy risk, incident response, our bug bounty programs, and the identity, endpoint, and access systems the whole company depends on. It is also the team our customers meet during security diligence. As our enterprise relationships deepen, increasingly with banks and other regulated institutions, our own program must be as credible as the security we deliver to customers. Today that program is established and audit-ready. The next chapter is turning it into an enterprise-grade security function that stands up to the scrutiny of the most demanding enterprise customers, partners, and regulators, while safely accelerating our adoption of AI across the company. What you'll be doing You will own the strategy, design, and continuous maturation of OpenZeppelin's Information Security Program, and be accountable for managing the team executing it. You can issue-spot security and privacy risks before they materialize, explain the principles behind security and compliance controls to auditors and enterprise security teams, and calibrate our security program proportionate to risk. IT and infrastructure: Oversee identity and access management, provisioning and onboarding/offboarding, end-user security (MDM, endpoint protection, security training), physical security, disaster recovery, business continuity, and data backup, using automation and AI-powered workflows to make IT and security operations scale faster than headcount. Strategy, governance and budget: Set the strategic direction, multi-year roadmap, and risk posture of the Information Security Program; deliver on department OKRs; and own the IT and technology budget, with ultimate responsibility for technology procurement. AI security and governance: Own the secure adoption of AI across the company: evolve our AI governance framework, review and approve AI tools and agentic workflows, and secure our agentic infrastructure (identity, least-privilege tool and data access, secrets handling, monitoring, auditability). Manage frontier model providers as critical vendors, covering security and data-handling diligence, retention and training-use commitments, DPAs and subprocessor flow-downs. Meet emerging obligations such as the EU AI Act, so we can make transparent, defensible commitments to enterprise customers about how our products and internal AI usage handle their data. Compliance, audit and enterprise trust: Own our audit, certification, and attestation strategy and execution (penetration testing, SOC 2 Type 2, ISO/IEC 27001, successor frameworks) alongside internal security audits; run a third-party and vendor risk management program; and serve as the external face of our security program with customer security teams, regulated financial institutions, and auditors. Privacy and data governance: Maintain a comprehensive data map of how data flows into, through, and out of the organization, including flows to model providers and through agentic workflows, with data classification, records of processing, and a vendor/subprocessor inventory. Own privacy compliance in partnership with Legal: GDPR, CCPA/CPRA, DPAs and contractual security commitments, and privacy-by-design reviews of new products and features. Security operations and incident response: Own the incident response program end-to-end, including playbooks, tabletop exercises, post-incident reviews, and breach-notification obligations in partnership with Legal. Manage our bug bounty programs, and partner with development teams to embed security best practices in the SDLC and our software offerings. You have 10+ years of Security and IT experience, including 3+ years leading a IT Security and GRC function (not solely IT operations) in a high-growth tech company, with demonstrated ownership of strategy, not just execution. A demonstrated trajectory toward CISO: you have owned a security program end-to-end, presented to executives or boards, and can articulate the "why" behind every control you have implemented. Experience securing or governing AI/LLM-enabled products or enterprise AI adoption including agentic systems and third-party model-provider risk, with an ability to apply privacy and data-protection laws and practices (e.g., GDPR, CCPA/CPRA) in the AI context. Nice to have 5+ years working in blockchain or a FinTech with an enterprise client base (e.g., financial services), including navigating rigorous third-party security diligence. Logistics: Our interview process takes place on Google Meet or Zoom and tends to consist of the following stages: Recruiter Call (30 minutes) Hiring Manager Call (30 minutes) Team Interview (30 minutes) Leadership Interview (30 minutes) Paid work test (up to 20 hours of paid work) Reference checks Benefits Meet your teammates at company gatherings around the world 😎 Enjoy the flexibility of fully remote work 🌎 Take the time you need with flexible time off 🏝 Grow your family with 8 weeks of paid leave for primary caregivers, 4 weeks for secondary caregivers, and a one-time $3,600 baby bonus 💙 Build your ideal home office with up to $500 in equipment support 🪑 Stay covered with medical insurance 🏥 Keep growing with learning and development opportunities 🧠 Get a monthly stipend for your preferred co-working space 💻 At OpenZeppelin , we are an equal opportunity employer and we value different perspectives. We are committed to building a diverse workforce. This includes but is not limited to gender, race, sexual orientation, religion, national origin and other characteristics that make each one of us unique. In this uniqueness, we find the most value. Come join us! Use of AI as part of the recruiting process As part of OpenZeppelin’s recruitment process, we may use automated tools, including artificial intelligence, to assist in reviewing applications and assessing candidate qualifications. These tools are used to support our People team by identifying relevant skills and experience, and are not used to make decisions solely by automated means. All hiring decisions involve human review. Any personal data provided as part of your application will be processed in accordance with OpenZeppelin’s Data Privacy Notice . If you have questions about this recruitment process or would like to request human review of your application, please contact us at talent@openzeppelin.com.

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 LangChain 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. Today, LangChain, LangGraph, LangSmith, and Agent Builder are used by teams shipping real AI products across startups and large enterprises. Millions of developers trust LangChain to power AI teams at companies like Replit, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, and 35% of the Fortune 500. 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. About the role: Location: Hiring in San Francisco, New York City, Austin and Chicago We're looking for a Commercial Account Executive to join our growing GTM team and help drive adoption of LangChain's products. In this role, you'll support the sales process by helping technical teams at innovative companies discover, evaluate, and adopt LangChain's solutions. This is a great opportunity to learn and grow in a high-impact environment where you'll work alongside experienced sales, engineering, and customer success professionals. If you're eager to build relationships, learn about cutting-edge GenAI technology, and contribute to our go-to-market efforts, we'd love to hear from you. How to be successful in this role: - 4+ years of experience in sales, business development, or a customer-facing role (SaaS or tech preferred) - Strong track record of sourcing, qualifying, and closing outbound deals - Execution mindset: you excel in fast-paced environments and move with urgency - Curious and solution-oriented: you’re always finding ways to level-up your understanding of technology, your customer’s business, and your craft. - Self-starter and resourceful; you find ways to solve problems and move things forward Compensation & Benefits: - Benefits include things like medical, dental, and vision coverage, flexible vacation, a 401(k) plan, life insurance, lunch & dinner for employees in our SF and NYC offices, and more - Annual salary: $280,000 OTE 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: San Francisco, CA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role: The Safeguards ML Inference Path team designs, builds, and operates the production infrastructure that powers Claude's ML based safety systems. We collaborate closely with safety researchers and inference engineers to bring new classifiers and novel classes of ML defenses to production. We own the research → production transfer of new safety technologies that is on the critical path for every Claude model launch. And we build for scale: serving thousands of ML classifiers, for all requests on the token generation path, and for every platform Claude runs on -- 1P, Bedrock, Vertex, and beyond. We’re growing the team and looking for engineers who have deep expertise in productionizing ML systems. You'll work at the intersection of machine learning, large-scale distributed systems, and AI safety, developing the platforms and tools that enable our safeguards to operate reliably at scale. And your tooling and infrastructure will be used for every model launch, which are becoming more complex, and more frequent. Responsibilities: Design and build scalable ML infrastructure to support real-time safety deployments across our classifier and model ecosystem Build monitoring and observability tools to track classifier performance, data quality, and system health for safety-critical applications Collaborate with research teams to productionize safety research, translating experimental safety techniques into robust, scalable systems Optimize inference latency and throughput for real-time safety evaluations while maintaining high reliability standards Implement automated testing, deployment, and rollback systems for ML models in production safety applications Partner with Safeguards, Security, and Alignment teams to understand requirements and deliver infrastructure that meets safety and production needs Contribute to the development of internal tools and frameworks that accelerate safety research and deployment You may be a good fit if you: Are proficient in Python and have experience with ML frameworks like PyTorch, TensorFlow, or JAX Understand distributed systems principles and have built systems that handle high-throughput, low-latency workloads Have built automated or self-service deployment pipelines and eval infrastructure allowing researchers to roll out classifiers and models independently Have implemented A/B testing frameworks and experimentation infrastructure for ML systems Are results-oriented, with a bias towards reliability and impact in safety-critical systems Enjoy collaborating with researchers and translating cutting-edge research into production systems Care deeply about AI safety and the societal impacts of your work Strong candidates may also have experience with: Have 5+ years of experience building production ML infrastructure, ideally in safety-critical domains like fraud detection, content moderation, or risk assessment Working with large language models and modern transformer architectures Developing monitoring and alerting systems for ML model performance and data drift Experience in trust & safety, fraud prevention, or content moderation domains Knowledge of privacy-preserving ML techniques and compliance requirements 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: Remote, Canada; 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 or Staff Backend Engineer with the Database Excellence group , you'll build and evolve database automation and PostgreSQL as a service capabilities for GitLab. The level will be determined during the hiring process. You'll use Go to automate the full lifecycle of PostgreSQL across GitLab's infrastructure, making database operations safer, more consistent, and easier to scale for databases that sit behind high-throughput, always-on internet services. You'll work closely with partner teams to shape how GitLab provisions and manages PostgreSQL in a fully remote, highly collaborative environment. Some examples of our projects: SQL Traffic Replay Tooling , which validates upgrades and changes against real production workloads. PostgreSQL as a Service Platform , which provides standardized, automated provisioning and lifecycle management for internal product databases. PostgreSQL Major Version Upgrade Automation , which supports safe, repeatable major upgrades at GitLab.com scale. What you’ll do Design, build, and maintain Go-based automation that manages the full PostgreSQL lifecycle, including provisioning, configuration, upgrades, failover, scaling, and decommissioning, reducing reactive operational work that currently takes more than 80% of the team's time. Build automation that works across infrastructure-as-code tooling and cloud infrastructure, and evaluate operator-based approaches as the platform evolves. Use AI agents as a regular part of building and operating services, including implementation, review, and reducing repetitive work, while keeping the context agents need in the repository so the whole team can build on it. Build for internet scale by designing automation and services for high-throughput, always-on production workloads, where GitLab.com traffic sets the bar for correctness, latency, and availability. Integrate compute, storage, networking, identity and access management, and managed data services across cloud providers into one coherent PostgreSQL platform instead of creating bespoke setups for each database. Build GitLab's PostgreSQL as a service platform to replace bespoke database setups with standardized, automated provisioning and lifecycle management, so supporting more databases doesn't require growing the operations team at the same rate. Collaborate closely with product management, infrastructure, software delivery, and other engineering teams to design and ship high-performing solutions. Research, design, and implement improvements to PostgreSQL performance, scalability, and data health, helping maintain more than 8 months of operational runway for all critical database saturation points. Review database automation and Go changes from other engineers and contributors, with attention to safety, maintainability, and performance. Document automation practices, PostgreSQL operational patterns, and guidance that helps engineers use and contribute to the platform. Build safe, repeatable automation for PostgreSQL major version upgrades at GitLab.com scale, validating changes against real production traffic before rollout. Operate what you build in production from end to end, using production feedback to guide each iteration. What you’ll bring Professional software engineering experience working with PostgreSQL in large, complex production environments, including experience building or operating a database-as-a-service product. Proficiency with Go, including designing, implementing, testing, and reviewing backend services. Experience developing Kubernetes operators, controllers, or similar automation for the lifecycle of stateful services, especially databases. Kubernetes experience is one way to demonstrate this skill, but isn't required; comparable experience building database or infrastructure automation is welcome. Comfort with infrastructure as code and core database operations concepts such as high availability, replication, backups, and system-level performance trade-offs. Familiarity with Ruby is a plus but isn't required. Much of GitLab's application codebase uses Ruby on Rails, and being able to read it helps when designing automation that application teams depend on. We’ll expect you to become comfortable with it on the job, not on day one. Strong written communication skills and comfort working asynchronously in an all-remote, distributed team. Self-directed work style with effective organizational skills, the ability to manage priorities as a "manager of one," and alignment with GitLab's values of transparency, collaboration, inclusion, and open source contribution, as well as its operating principles . Ownership of the technical direction for a major initiative such as the PostgreSQL as a service platform, turning an ambiguous problem into an architecture and a sequenced plan that several engineers can execute in parallel. Influence beyond the team, setting the patterns other engineers follow, partnering with sibling database, infrastructure, and platform teams, and growing engineers through design reviews and mentorship. About the team The Database Excellence group keeps GitLab’s databases running reliably through proactive health management, operational excellence, and strategic enablement. We maintain operational runway by identifying and addressing saturation points, operate infrastructure through automated and scalable processes, and provide tools and frameworks that help teams build features sustainably. Our primary focus is GitLab.com, and we're expanding our scope to provide database health frameworks and tooling that benefit self-managed customers as well. The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our benefits and equity . Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary. United States Salary Range $152,800 — $259,200 USD 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: New York City, New York What you’ll be part of Garner is on a mission to transform the U.S. healthcare system — and we’re the only proven player doing exactly that. We partner with employers to redesign how healthcare works: applying 550+ proprietary clinical metrics across 80+ specialties to a dataset of 320M+ patients to identify the best-performing doctors, then using compelling incentives to steer members to the care that helps them get healthier, faster. The result is a rare “win win” — better care and lower costs for both members and employers. In just five years, our work has helped over 2.5 million people access higher-quality care and saved $1B in healthcare costs. We recently raised our Series E and have doubled five years running. If you've ever wanted your work to solve a problem that touches every person in this country, this is the opportunity to do exactly that. You'd be joining a team fundamentally reimagining healthcare in the U.S. — and using AI to scale that impact further and faster than anyone else can. About the role: We are seeking an execution-focused and visionary Data Engineering Manager to lead our Data Platform Team. In this critical role, you will manage a team of talented engineers dedicated to building the common, reusable abstractions and high-throughput data infrastructure that power Garner’s internal and external applications. You will champion an AI-native development philosophy and scale our data pipeline capabilities, ensuring our systems seamlessly support the heavy computational demands of our next phase of company-wide growth. Where you will work: This role will be based in our New York City office (in the Financial District). You must be willing to work in the office 3 days per week on Tuesday, Wednesday and Thursday. What you will do: Lead and manage the Data Platform Engineering team, owning the end-to-end design, implementation, and operational excellence of systems that process complex healthcare data Provide high-quality technical contributions and architectural guidance, establishing robust standards for data modeling, processing, and system maintainability Build and optimize common data abstractions, pipelines, and frameworks designed for high scalability, ensuring our platform keeps pace with exponential enterprise data growth Translate complex, ambiguous business and data requirements into well-scoped, accurately estimated, and composable architectural pieces Foster and drive an AI-native engineering culture within the team, integrating cutting-edge AI tools and integrations to enhance development workflows and automate data operations Manage and grow stakeholder relationships across Engineering and Product, aligning team priorities with departmental OKRs and broader business goals Mentor, coach, and guide your team members, conducting detailed design reviews and managing robust Root Cause Analyses (RCA) to continuously elevate technical rigor The ideal candidate has: 5+ years of hands-on engineering experience, with a focus on Big Data and distributed system and infrastructure 2+ years of managing engineering teams, with a track record of building and mentoring high performing teams Expertise with batch data processing frameworks such as Hadoop, Spark, EMR, etc. Experience with stream processing systems such as Kafka and RedPanda Proficiency with technologies such as Temporal, Apache iceberg, AWS glue, Spark, DBT, and Soda Exhibits strong ownership and a proactive mindset, with a proven ability to translate complex business needs into scalable, actionable technical roadmaps Demonstrated ability to operate effectively in dynamic, fast-paced startup environments, with a hands-on approach and a strong commitment to organizational success Preference for managing healthcare data standards (e.g. HIPAA, EDI) A desire to be a part of our mission to improve the U.S. healthcare system A desire to be a part of a high-performing, mission-driven team that operates with intense urgency, a strong sense of individual accountability, and a commitment to authentic feedback Technologies we use: Python, Spark, dbt, SnowFlake, Iceberg, Airflow, OpenMetadata, Kubernetes, NATS, AWS, Terraform, Claude Code This is a unique opportunity to join a fast-growing company in a transformative role, helping shape the future of healthcare. What you'll get here: You’ll work on problems that matter, at a company working to change healthcare at scale. You’ll work at the intersection of AI and systemic healthcare reform, where the problems we solve are as interesting and compelling as the mission. At Garner, you’ll take on real, ambitious problems with real ownership and autonomy, alongside exceptional, principles-based people who genuinely want you to win. It’s demanding by design. You’ll be challenged to stretch beyond what you thought possible and receive consistent coaching to help you grow and do the best work of your career. This isn't the right fit for everyone, and that's intentional. The people here are driven by what's at stake for real people, and that's what gives our intensity its purpose. Compensation Transparency: The target salary range for this position is $310,000 - $385,000. Individual compensation for this role will depend on various factors, including qualifications, skills, and applicable laws. In addition to base compensation, this role is eligible to participate in our equity incentive and competitive benefits plans, including but not limited to: flexible PTO, Medical/Dental/Vision plan options, 401(k), Teladoc Health and more. Fraud and Security Notice: Please be aware of recent job scam attempts. Our recruiters use getgarner.com and garnerhealth.com email domains exclusively. If you have been contacted by someone claiming to be a Garner recruiter or a hiring manager from a different domain about a potential job, please report it to law enforcement here and to candidateprotection@garnerhealth.com . Equal Employment Opportunity: Garner Health is proud to be an Equal Employment Opportunity employer and values diversity in the workplace. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. Garner Health is committed to providing accommodations for qualified individuals with disabilities in our recruiting process. If you need assistance or an accommodation due to a disability, you may contact us at talent@garnerhealth.com .

Location: San Francisco, CA; Washington, D.C. Workplace: OnSite ABOUT US Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia. We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do. Our co-founders are Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace. WHAT YOU'LL DO - Own the end-to-end partnership strategy for Sierra’s US, Canada, and UK Government & SLED ecosystem, identifying, prioritizing, recruiting, and structuring the systems integrator, reseller, distributor, and strategic alliances that will most accelerate Sierra’s growth and expand our public-sector reach. - Build and lead joint go-to-market strategies with key partners, developing compelling joint value propositions, identifying priority accounts and use cases, and aligning sales motions, pipeline goals, and shared success metrics to drive measurable commercial outcomes. - Build a scalable partner program and enablement engine from the ground up, including training, certification paths, sales plays, field-facing materials, commercial frameworks, and onboarding programs that give partners the tools and confidence to effectively position, sell, and deliver Sierra. - Own and grow strategic partner relationships from initial engagement through long-term success, cultivating executive-level sponsorship while establishing the operating rhythms, joint planning, business reviews, governance, and scorecards needed to keep partnerships accountable, productive, and scaling over time. - Serve as the connective tissue between Sierra and the broader public-sector partner ecosystem, partnering closely with Sales, Marketing, Product, and Legal; bringing market intelligence and partner feedback back into Sierra; representing the company at key industry and procurement events; and using pipeline and performance data to determine where to invest, course-correct, or evolve our partnership strategy. WHAT YOU'LL BRING - 10+ years of experience in strategic partnerships, alliances, or channel strategy, with significant experience across US, Canada, and/or UK Government and SLED markets and a proven track record of building and scaling partner programs that drive engagement and pipeline. - Strong relationships across the government technology ecosystem, including resellers, systems integrators, distributors, and strategic partners such as Carahsoft, Deloitte, Accenture Federal Services, or comparable public-sector organizations. - Deep understanding of government procurement and public-sector requirements, including RFPs/RFIs, cooperative purchasing vehicles, GSA schedules, CCS/G-Cloud frameworks, Canadian procurement vehicles, and relevant compliance, security, and accessibility requirements. - Strong executive presence and relationship-building skills, with a demonstrated ability to earn senior-level trust and sponsorship while developing GTM frameworks, enablement programs, and operating cadences that scale partnerships. - AI fluency and a builder mindset, with experience leveraging AI-powered tools and insights in day-to-day work and applying that knowledge to partnerships around an AI-native product like Sierra, along with the ability to travel across the US, Canada, and UK as needed. EVEN BETTER... - Experience working at or partnering closely with government-focused organizations such as Carahsoft, Deloitte, or Accenture Federal, ideally within a high-growth enterprise company where you helped build and scale a public-sector partner ecosystem. - Experience structuring and growing strategic partnerships, including negotiating commercial terms, developing co-sell and governance frameworks, and driving joint GTM initiatives, customer events, executive engagement, and partner marketing programs. - Knowledge of the government technology landscape, ideally including CX/customer service technology, AI/ML applications and public-sector AI policy/procurement trends, with an existing security clearance or eligibility to obtain one where applicable. OUR VALUES - Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work. - Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it. - Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve. - Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time. - Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements. WHAT WE OFFER We want our benefits to reflect our values and offer the following to full-time employees: - Flexible (unlimited) paid time off - Medical, dental, and vision benefits for you and your family - Life insurance and disability benefits - Retirement plan dependent on country of employment - Parental leave - Fertility and family building benefits through Carrot - Lunch, as well as delicious snacks and coffee to keep you energized  - Discretionary benefit stipend giving people the ability to spend where it matters most - Free alphorn lessons These benefits are further detailed in Sierra's policies, may vary by region, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies. BE YOU, WITH US We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.

Location: Moscow, Russia; St. Petersburg, Russia; Yerevan, Armenia; Tbilisi, Georgia; Astana, Kazakhstan; Almaty, Kazakhstan Workplace: remote At NOVACARD , we’re redefining how people use credit. We are the first interest-free and no-annual-fee credit card in Mexico, designed to simplify personal finances and give users complete control – all from a mobile app. With NOVACARD, users can access up to $200,000 MXN in credit, only pay when they use it, and manage everything digitally in under 5 minutes. Our mission is to empower people to make smarter financial decisions by offering flexibility, transparency, and the freedom they need to reach their goals. Simple finances, big goals. About the Role We are looking for a QA Automation Engineer to own the quality of key user scenarios across the stack. In this role, you will do more than write autotests — you will build a reliable automation system that covers everything from a customer action in the Flutter mobile app to data validation in APIs, message queues, and databases. You will work closely with developers, analysts, DevOps, and other QA engineers to ensure delivery speed and reliability of financial services. We expect an engineer who sees risks in a microservices architecture and prevents them with well-designed automated coverage. The role is fully remote, with occasional business trips if required. Key Responsibilities Develop, maintain, and evolve UI autotests for the Flutter mobile application (Android/iOS) using Python and Appium. Design the automation framework architecture: implement and maintain Page Object patterns, business step layers, fixtures, and environment configurations. Work with Flutter app locators: use Semantics labels and accessibility IDs, and align their implementation with mobile developers to improve test stability. Ensure autotest suite stability: diagnose and eliminate flaky tests, manage waits, and configure test isolation. Configure and maintain Allure reporting: steps, attachments such as screenshots, logs, and traffic, run history analysis, and linking autotests to test cases. Integrate autotests into CI/CD using GitLab CI: run pipelines, set up parallel runs on emulators and real devices, and maintain acceptable execution time. Analyze new functionality, participate in requirements review, and create test designs. Perform functional, integration, regression, and end-to-end testing. Test external and internal integrations, including SOAP/REST APIs, XML/JSON processing, authorization, contracts, and service interaction errors. Analyze asynchronous processes: message queues and event buses such as Kafka and RabbitMQ, consumers, retries, idempotency, and delayed effects. Identify cross-team dependencies during task definition and align them with related teams before development and testing begin. Estimate testing and automation effort, maintain and expand the regression test suite. Analyze run results, report risks, defects, and blockers in a timely manner, and prepare clear quality reporting. Automate test data preparation: use SQL scripts, internal service APIs, emulation of external system states, and mocks. Work confidently with databases: write medium-complexity SQL queries with joins and aggregations, validate data after user operations in MS SQL Server and/or PostgreSQL, and access databases from autotest code. Investigate logs and metrics in monitoring systems such as Kibana, OpenSearch, and Grafana, and trace requests across services using correlation or trace IDs. Diagnose autotest failures: identify root causes using device logs, traffic, and service logs, and file defects in the tracking system. Key Requirements 2+ years of experience in mobile UI test automation. 5+ years of experience testing microservice-based applications. 2+ years of experience testing external integrations. Strong Python skills: OOP, working with libraries, reading and refactoring code, writing utilities and helpers. Hands-on experience with pytest: fixtures, parametrization, markers, conftest, and plugins. Practical experience with Appium. Experience automating Flutter applications or readiness to quickly learn Flutter-specific automation. Knowledge of Git and experience integrating autotests into CI/CD. Experience in functional testing of Android and iOS mobile applications. Excellent knowledge of testing theory and test-design techniques. Strong understanding of SOAP/REST API testing, XML/JSON, HTTP response codes, contract schemas, session-based and token-based authentication; experience automating API calls in Python using requests or similar libraries. Confident SQL skills: ability to independently write medium-complexity queries, read database schemas, and validate data in MS SQL Server and/or PostgreSQL. Understanding of asynchronous service communication: Kafka, RabbitMQ, or similar brokers, consumers, idempotency, retry mechanisms, and delayed event processing. Experience with logging and monitoring systems such as Kibana, OpenSearch, Grafana, or similar tools. Ability to independently prepare test data using SQL scripts, internal or service APIs, and emulation of external system states. Fluent Russian and English at B1+ level, sufficient for technical documentation and an international team. Experience developing in Dart or reading Flutter app code to understand widget structure and add Semantics keys. Nice to Have Experience with device farms such as BrowserStack, Sauce Labs, or local device farms, Appium Grid, and parallel execution on device pools. Experience developing in Dart or reading Flutter app code to understand widget structure and add Semantics keys Experience with Charles, Fiddler, Swagger, Postman, and SOAP UI, including proxying and mocking responses on devices. Experience automating the API layer as a separate suite, as well as basic Postman automation and running collections via Newman. Experience with visual testing and screenshot-based tests. Experience in fintech or banking products: card processing, credit products, tariffs, fees, limits, card statuses, and card lifecycle management. Experience testing BPMS processes and workflow engines such as Camunda. Understanding of financial application security requirements: personal data handling, OTP flows, session management, and basic PCI DSS principles. Experience setting up test infrastructure: Docker, running emulators in CI, and build caching. Experience estimating testing tasks and working with QA quality metrics such as DDE, defect density, test coverage, autotest stability, and execution time. What We Offer Fully remote work format. Official employment in accordance with the Russian Labor Code for residents of Russia; contractor collaboration for candidates from other countries. Opportunity to work in an international team on an innovative digital credit product for the Mexican market. A product-focused, data-driven environment where quality directly influences the financial experience of thousands of users. The chance to work on complex mobile, backend, and integration scenarios in a rapidly growing fintech company.

Location: United Kingdom (Hybrid) Workplace: Hybrid Most money apps talk at you. Cleo talks back ✨ We're not building another finance app. We're building the world's first AI financial assistant, one that actually understands your money and makes you better at it, and we're changing the world's relationship with money in the process 💰 For everyone, whatever their background or balance. The proof: profitable, fast-growing, a unicorn with over $300M in ARR, and millions of people who now feel differently about their money. We love original thinkers who challenge the status quo. We move fast, tell the truth, and there's nowhere to hide from good work here. If that excites you more than it scares you, you'll fit right in. Follow us on LinkedIn https://www.linkedin.com/company/cleo-ai/ for new features and the occasional roast 🔥 MEET THE TEAM 👥 Here at Cleo, we have ~70 Data Scientists (Product Analysts) working embedded into our Pillars ✨ They stay connected and share knowledge consistently through monthly meetings and slack channels to scale approaches and ensure everyone learns in the same way. They thrive through clear communication with their squad and stakeholders to influence product or company decisions, being that bridge between the non-tech and technical sides of the team. We have deeply structured data and a great experimentation culture using StatSig for all analysts to dive into! ABOUT THE ROLE ✍️ We're hiring a senior analytics leader to own the analytics strategy and operating model across Cleo's Financial Services Product pillars. You'll lead and develop the analytics leadership layer itself - L4/L5 managers and senior ICs - setting company-level standards for metrics, experimentation, and reporting across pillars. - Own the analytics strategy and operating model across Financial Services Product pillars - coherent measurement, experimentation, and insight cadence mapped to company priorities - Lead and develop the analytics leadership layer (L4/L5 managers and senior ICs), building a strong bench, growth plans, and succession so the function doesn't rely on any single person - Drive the experimentation programme as a product - fixing structural issues like single source of truth, standard bucketing, automated conflict detection, sizing and priors - and raise the bar on rigour across squads - Improve observability of live user flows and metric movements, partnering with Engineering on the event framework and product-health reporting - Champion responsible use of agentic AI as a force multiplier for analytics, with sensible guardrails - Partner with Product, Credit, Engineering, Commercial, and ML leadership to shape roadmaps and trade-offs with evidence, giving senior leadership clear visibility on what's driving key metrics - Set and enforce company-level standards for metrics, experimentation, and reporting, reducing duplicated, siloed work across pillars WHAT WE'RE LOOKING FOR 🕵️ - 8+ years in data analytics, data science, BI engineering, or analytics engineering, ideally in a high-growth, product-led company - Proven management experience of at least 4+ ICs - Deep experimentation expertise beyond stat-sig testing - fixing structural problems in a testing programme: bucketing, conflicts/collisions, sizing, priors, governance - A builder's instinct: bias for automation, ownership, and shipping - Ability to set standards and an operating model that teams actually adopt, measurably improving delivery beyond a single team - Commercial sense - can translate product/user metrics into revenue, profitability, and LTV, and hold your own with Product Directors and Commercial stakeholders - Systems thinker, comfortable in a mature, complex product environment with interacting parts (e.g. payments, credit risk, ML models feeding user experience) - Exec-ready storytelling - can synthesise across pillars, land insight at the right moment, and set and defend targets with senior stakeholders - Player-coach instinct - creates leverage through delegation, templates, and self-serve, but goes hands-on on the highest-leverage or most ambiguous problems when needed - Comfortable using AI tools (Claude, Cursor) as leverage, with the judgement to know when to trust output and when to verify - Interest in fintech and Cleo's mission to make money easier and more human - Nice to have: causal inference depth (CUPED, Bayesian methods, PSM, uplift modelling) and the judgement to know when it's worth the effort - Nice to have: genuine enthusiasm for agentic AI as a force multiplier in analytics workflows - Nice to have: credit-risk analytics exposure - arrears, defaults, how ML risk models interact with product analytics and UX - Nice to have: fintech, personal finance, lending, or high-growth consumer subscription experience WHAT WE OFFER We offer benefits package built to support you in and out of work. Benefits vary by country 🌍 and include meaningful equity, comprehensive health insurance, mental health support, a paid one-month sabbatical after four years, a learning & development platform, pension or retirement contributions, and location-specific leave entitlements. For the full breakdown on what's available in your location, visit our Candidate Hub https://meetcleo.notion.site/Cleo-Candidate-Hub-3b95c63b874580e9a068fdc6c8929ebf 👈 WHAT MATTERS Cleo's mission is to change the world's relationship with money. We can't do that without building a brilliant, genuinely diverse team - and making sure our hiring process gives everyone a fair shot, running a fair and transparent recruitment process in which every candidate is considered on their merits. We're glad to make reasonable adjustments at any stage of the process. If there's anything we can do to support you in showing us your best, please let your recruiter or one of the team know. We may use AI-assisted tools during the recruitment process to take support the team in different ways like taking notes or referring back to conversations. They do not replace the team and all applications are reviewed by a Cleo employee thoroughly!

Location: San Francisco, CA • New York, NY • United States Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! As a Technical Account Manager (TAM), you will serve as a trusted technical advisor to some of Figma's largest enterprise customers, working closely with customer enablement, sales, and product teams to guide sophisticated implementations involving identity systems, APIs, integrations, governance, and extensibility. This role sits at the intersection of customer success, enterprise architecture, and developer workflows, with a goal of reducing technical risk, accelerating adoption, and ensuring customers are set up for long-term success. This is a full time role that can be held from one of our US hubs or remotely in the United States. What you’ll do at Figma: Serve as a strategic technical advisor for enterprise customers, helping them adopt and scale Figma in alignment with their business and technical goals Lead structured technical engagements that assess customers’ current environments, identify risks or gaps, and provide clear, prescriptive guidance for successful implementation Guide customers through enterprise API usage and system integrations, helping them extend Figma’s capabilities within their broader technology ecosystems Partner with developer teams to improve design-to-code workflows, including Dev Mode adoption, extensibility initiatives and other emerging platform capabilities (Code to Canvas) Deliver technical workshops and training sessions to help customers confidently use sophisticated platform features Collaborate cross-functionally with sales, customer experience, and product teams to ensure customers receive cohesive and high-impact technical guidance Surface technical insights and opportunities that support renewals, expansion, and long-term account growth Build strong relationships with technical stakeholders and executive sponsors by clearly translating technical concepts into business value We'd love to hear from you if you have: 5+ years of experience in technical account management, solutions engineering, enterprise customer success, or a related technical advisory role within a SaaS organization A solid understanding of enterprise systems, APIs, integrations, development frameworks and identity management frameworks Experience advising on or implementing AI-powered solutions within enterprise environments, including evaluating architectural considerations, governance requirements, and integration strategies for emerging AI technologies Superb communication skills and the ability to confidently engage both technical and non-technical audiences A consultative mentality and a passion for navigating multiple stakeholders within complex customer environments helping tackle technical challenges While it’s not required, it’s an added plus if you also have: Familiarity using Figma or other design and developer collaboration tools Understanding how to tailor AI output through the use of guidelines and skills to enrich context for MCP servers and LLMs A background in frontend development or familiarity with design-to-code workflows Delivered technical workshops, enablement sessions, or advisory services in past roles At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. Pay Transparency Disclosure Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location. Figma offers equity to employees, as well as a competitive package of additional benefits, including health, dental, and vision coverage; retirement benefits with company contributions; parental leave and reproductive or family planning support; mental health and wellness benefits; and paid time off. Figma provides paid sick leave, holidays, and other leave benefits in compliance with applicable federal, state, and local laws, including the requirements of the Washington Minimum Wage Act and related regulations. Exempt employees are eligible for employer‑provided paid flexible PTO in addition to flexible paid sick leave. PTO is subject to manager approval. Additional benefits may include company recharge days, cell phone and home internet reimbursements, and a number of lifestyle spending accounts. Figma also offers sales incentive compensation for most sales roles and an annual bonus plan for eligible non-sales roles. All compensation and benefits are subject to applicable plan terms and may be modified by Figma at any time, consistent with applicable law. Annual Base Salary Range: $140,000 — $296,000 USD At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an equal opportunity workplace - we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status , or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to accommodations-ext@figma.com . These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities. Examples of accommodations include but are not limited to: Holding interviews in an accessible location Enabling closed captioning on video conferencing Ensuring all written communication be compatible with screen readers Changing the mode or format of interviews To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding. By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with Figma's Candidate Privacy Notice . Application limits: To help candidates focus on the opportunities most relevant to their skills and experience, Figma limits the number and frequency of applications. These limits apply to all roles: Candidates may submit up to 5 applications during any rolling 30-day period. Candidates may not reapply to the same role while an application is active or within 90 days of receiving a rejection. Once the applicable days has passed, candidates are welcome to apply again.

Location: Remote What you’ll be part of Garner is on a mission to transform the U.S. healthcare system — and we’re the only proven player doing exactly that. We partner with employers to redesign how healthcare works: applying 550+ proprietary clinical metrics across 80+ specialties to a dataset of 320M+ patients to identify the best-performing doctors, then using compelling incentives to steer members to the care that helps them get healthier, faster. The result is a rare “win win” — better care and lower costs for both members and employers. In just five years, our work has helped over 2.5 million people access higher-quality care and saved $1B in healthcare costs. We recently raised our Series E and have doubled five years running. If you've ever wanted your work to solve a problem that touches every person in this country, this is the opportunity to do exactly that. You'd be joining a team fundamentally reimagining healthcare in the U.S. — and using AI to scale that impact further and faster than anyone else can. About the role: We are seeking an exceptional Staff Software Engineer to join our organization. Garner’s Engineering team tackles incredibly hard technical problems for a mission that truly matters. Our systems analyze billions of medical records to rank healthcare providers across the country. We are an AWS + Kubernetes shop, and we are constantly introducing new technologies as our system load doubles every year. We expect our engineers to champion cutting-edge industry practices as we aggressively embrace AI in every facet of our operations and norms. We are seeking teammates who take pride in delivering their best work while fostering a strong team culture. Where you will work: Garner is headquartered in NYC, but this position is available for individuals who are comfortable with remote work and occasional travel to HQ. What you will do: Lead team-level technical strategy and execution on multi-quarter time horizons Use AI to build, optimize, and maintain software systems Uplevel engineers across the organization by raising the technical bar Collaborate across disciplines to understand our domain and iterate on projects Protect our users’ privacy and security through best practices The ideal candidate has: 6+ years of software engineering experience Experience leading teams of engineers with demonstrated impact on technical strategy A generalist software engineering mindset ready to learn new languages, frameworks, and techniques required for a fast paced startup environment Demonstrated ability to build complex systems using AI coding agents (we use Claude Code) Able to learn quickly and mentor others Familiarity with data security and HIPAA compliance A desire to be a part of a high-performing, mission-driven team that operates with intense urgency, a strong sense of individual accountability, and a commitment to authentic feedback What you’ll get here You’ll work on problems that matter, at a company working to change healthcare at scale. You’ll work at the intersection of AI and systemic healthcare reform, where the problems we solve are as interesting and compelling as the mission. At Garner, you’ll take on real, ambitious problems with real ownership and autonomy, alongside exceptional, principles-based people who genuinely want you to win. It’s demanding by design. You’ll be challenged to stretch beyond what you thought possible and receive consistent coaching to help you grow and do the best work of your career. This isn't the right fit for everyone, and that's intentional. The people here are driven by what's at stake for real people, and that's what gives our intensity its purpose. Technologies we use: Claude Code, Kubernetes, AWS, Airflow, DBT, Python, TypeScript, React, Go This is a unique opportunity to join a fast-growing company in a transformative role, helping shape the future of healthcare. Compensation Transparency: The target salary range for this position is $275,000 - $300,000. Individual compensation for this role will depend on various factors, including qualifications, skills, and applicable laws. In addition to base compensation, this role is eligible to participate in our equity incentive and competitive benefits plans, including but not limited to: flexible PTO, Medical/Dental/Vision plan options, 401(k), Teladoc Health and more. Fraud and Security Notice: Please be aware of recent job scam attempts. Our recruiters use getgarner.com and garnerhealth.com email domains exclusively. If you have been contacted by someone claiming to be a Garner recruiter or a hiring manager from a different domain about a potential job, please report it to law enforcement here and to candidateprotection@garnerhealth.com . Equal Employment Opportunity: Garner Health is proud to be an Equal Employment Opportunity employer and values diversity in the workplace. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. Garner Health is committed to providing accommodations for qualified individuals with disabilities in our recruiting process. If you need assistance or an accommodation due to a disability, you may contact us at talent@garnerhealth.com .

We are seeking an elite, hands-on Senior Security Compliance Consultant (SOC 2 & GRC Specialist) to lead a critical, company-wide SOC 2 Type II audit readiness initiative. In this strategic engagement, you will perform comprehensive gap analyses, assess existing security controls, design robust compliance workflows, and drive cross-functional teams toward audit completion. The ideal candidate brings a proven track record in GRC frameworks, control mapping, evidence automation, and policy development. Utilizing automated compliance platforms such as Sprinto, you will build repeatable compliance processes, validate technical controls, and ensure a seamless audit experience across the entire organization. General Information (About the Client): Our client is a fast-scaling, cloud-native technology platform committed to maintaining enterprise-grade trust, security, and data privacy. To support their rapid commercial growth and enterprise sales pipeline, they are establishing a formal, highly disciplined security governance model. They operate a modern, cloud-first environment where compliance is treated not as a passive checklist, but as an active, automated operational advantage. By leveraging modern GRC platforms and fostering a security-conscious culture, they provide an empowering environment for compliance experts to drive real architectural and procedural improvements. Tasks and Deliverables: SOC 2 Readiness & Gap Analysis: Conduct a thorough assessment of existing technical and operational security controls, pinpointing compliance gaps and building an actionable remediation roadmap. Control Design & Implementation: Author, refine, and operationalize security controls, policies, and procedures aligned with SOC 2 Trust Services Criteria (TSC) and PCI DSS standards. Automated Evidence Collection: Lead evidence-gathering workflows using automated GRC tooling (Sprinto), ensuring all technical artifacts, access logs, and policy attestations are validated and audit-ready. PCI DSS Guidance: Provide expert advisory on maintaining PCI DSS alignment alongside SOC 2, ensuring overlapping control requirements are mapped efficiently to reduce operational drag. Cross-Functional Coordination: Collaborate with engineering, DevOps, HR, and IT teams to embed compliance workflows into daily operations without slowing down feature execution. Auditor Interface & Readiness: Serve as the primary liaison during the audit preparation phase, coordinating directly with external auditors to present evidence, resolve findings, and ensure a successful audit cycle. Required Experience: SOC 2 Mastery: Proven track record of leading end-to-end SOC 2 readiness, gap remediation, and audit preparation initiatives for cloud-native or B2B SaaS companies. GRC & PCI DSS Acumen: Deep familiarity with Governance, Risk, and Compliance (GRC) frameworks, risk assessment methodologies, and PCI DSS compliance requirements. Tooling Proficiency (Sprinto): Direct, practical experience leveraging automated compliance and evidence-collection platforms, specifically Sprinto (or equivalent modern platforms like Vanta/Drata). Policy & Control Mapping: Exceptional capability to author clear, enforceable security policies and translate abstract regulatory requirements into concrete engineering controls. Cross-Functional Facilitation: Strong stakeholder management skills with a history of driving accountability across distributed engineering, product, and operations teams.

Location: London 500M+ downloads. 80M+ monthly users. A decade of building – and we’re still accelerating. Flo is the world’s #1 health & fitness app worldwide on a mission to build a better future for female health. Backed by a $200M investment led by General Atlantic, we became the first product of our kind to reach a $1B valuation in 2024 – and we’re not slowing down. With 7M paid subscribers and the highest-rated experience in the App Store’s health category, we’ve spent 10 years earning trust at scale. Now, we’re building the next generation of digital health – AI-powered, privacy-first, clinically backed – to help our users know their body better. The job This role unites Security and Infrastructure under a single organizational mandate to ensure security practices align directly with rapid engineering execution and platform scalability. Flo Health protects the data of over 80 million monthly active users, holding ISO 27001 and ISO 27701 certifications alongside privacy-first features such as Anonymous Mode. The VP of Security & Infrastructure is accountable for maintaining and elevating these security, privacy, and architectural standards across the organization. We are building organisation where secure is the default path and the fast path. Core Ownership & Responsibilities 1. Security Strategy & Governance Security Stategy and Roadmap: Develop, evolve and communicate Flo’s security strategy and roadmap, promoting strong shared security ownership culture. Security Programme: Oversee all aspects of Flo’s security programme, risk management, security architecture, product security, and security operations, including embedded security engineering functions. Data Protection & Governance: Define and enforce standards for storing, protecting, and deleting personal and health data across production systems, analytics warehouses, AI model training sets, backups, and search indexes. Regulatory & Compliance Engineering: Deliver and oversee the performance of technical controls, automated evidence extraction, and ongoing compliance for ISO 27001, ISO 27701, SOC 2 Type 2, HIPAA, EU AI Act, and Cyber Resilience Act. Third-Party & Supply-Chain Risk: Establish evaluation criteria and ongoing governance controls for vendors, SDKs, and external partners accessing internal environments or data. Vulnerability Management: Oversee the management life cycle of code, third party and platform vulnerabilities, ensuring remediation paths are transparent, risk-based, and tracked to closure. Security Operations & Incident Response: Oversee detection engineering, continuous threat monitoring, and serve as the accountable executive for major incident escalations. 2. Platform & Infrastructure Engineering Cloud & Developer Infrastructure: Own GCP and AWS multi-account architecture, Kubernetes, Terraform, and developer platform delivery to drive down lead times and change failure rates. Secure SDLC: embed technical security requirements across the development lifecycle, optimising automated security controls within CI/CD pipelines, and ensuring well informed platform and product security architecture decisions drive strong protection, resilience and scalability. Corporate IT & Access Controls: Manage IT service provision, including identity, hardware devices, collaboration tools and joiner-mover-leaver lifecycle workflows through automated, self-service access controls. 3. User Identity & AI Security Product Identity & Access Management: Direct cross-functional roadmaps for user facing security services and account safety, including authentication, sessions management, and cryptography,while balancing conversion metrics with security controls. AI & Machine Actor Security: Establish governance, scoping, permissioning, appropriate security guardrails and auditing for AI-assisted engineering agents and consumer-facing AI features. 4. External Trust and Transparency Advocate for Security In FemTech: Set and continually raisethe bar as market leader, executing transparent and proactive external communications and raising Flo's security profile through external events and industry engagement. Key Qualifications & Technical Requirements Leadership Experience: Proven track record of managing combined or parallel Security and Production Infrastructure functions at consumer scale (tens of millions of active users). Product Integration: Demonstrated experience partnering with Product, Design, and Mobile/Backend Engineering teams to ship user-facing features to roadmap. Audit Track Record: Successful execution and ongoing maintenance of ISO 27001, SOC 2, HIPAA, or equivalent certification frameworks through external audits. Data Privacy Systems: Deep technical experience implementing GDPR, automated data deletion, retention policies, DPIAs, and cross-border transfer controls programmatically. AI Governance & Security: Practical implementation experience securing AI models, autonomous code/development agents, and automated permission/audit systems. Preferred Qualifications: Experience with consumer sign-in optimization, health/biometric data protection, in-house offensive security engineering, and mobile platform security. Annual Salary Range (ranges may vary based on skills and experience) £200,000 — £220,000 GBP How we work We’re a mission-led, product-driven team. We move fast, stay focused and take ownership – from brief to build to impact. Debate is encouraged. Decisions are shared. We care about craft, ship with purpose, and always raise the bar. You’ll be working with people who take their work seriously, not themselves. It takes commitment, resilience, and the drive to keep going when things get tough. Because better health outcomes are worth it. What you'll get We support impact with meaningful reward. Here’s what that looks like: Competitive salary and annual reviews Opportunity to participate in Flo’s performance incentive scheme Paid holiday, sick leave, and female health leave Enhanced parental leave and pay for maternity, paternity, same-sex and adoptive parents Accelerated professional growth through world-changing work and learning support In-person collaboration and work in a hybrid model, with 3 days per week spent in the office 5-week fully paid sabbatical at 5-year Floversary Flo Premium for friends & family, plus more health, pension and wellbeing perks Diversity, equity and inclusion Our strength is in our differences. At Flo, hiring is based on merit, skill and what you bring to the role – nothing else. We’re proud to be an equal opportunity employer, and we welcome applicants from all backgrounds, communities and identities. Read our privacy notice for job applicants .

Location: Bulgaria, Poland Why Join Exadel We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks. From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next. What powers it all? Our people are ambitious, collaborative, and constantly evolving. About the Client The leading provider of vehicle lifecycle solutions, with headquarters in Chicago, enables the companies that build, insure, and replace vehicles to power the next generation of transportation. Its platform delivers advanced mobile, artificial intelligence, and car technologies. It connects a network of 350+ insurance companies, 24,000+ repair facilities, hundreds of parts suppliers, and dozens of third-party data and service providers. The customer's collective solutions enhance productivity and help clients deliver better experiences for end consumers. What You’ll Do Design, build, and maintain full-stack web applications, ensuring high performance, scalability, and security Implement new features and enhancements in a well-tested, maintainable, and efficient way Collaborate with Product managers and UX designers to create intuitive, responsive, and accessible interfaces Review, analyze, and implement technical solutions to meet business requirements, driving resolution of issues and bugs Contribute to architectural decisions, API design, and system integrations Provide technical leadership to the engineering team - guide design discussions, perform code reviews, and support continuous improvement Participate in task estimation, prioritization, and planning in alignment with engineering processes What You Bring Extensive professional expertise Python/Node.js and proven experience with modern frontend frameworks (React.js, Vue.js, or Next.js) Ability to design and deliver scalable, high-performance applications with clean, maintainable code Experience in contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and existing systems Deep understanding of API development, microservices, and system integration Experience building secure and user-focused web interfaces with attention to UX patterns and best practices Hands-on knowledge of cloud services (preferably AWS) and database technologies (SQL/NoSQL) Strong sense of ownership, leadership mindset, and ability to guide other engineers A collaborative, proactive approach to problem-solving and communication in distributed teams English Language Upper-Intermediate Legal & Hiring Information Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more. Reasonable accommodations are available to enable individuals with disabilities to perform essential functions. Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs. Compensation details are shared with candidates at the early stage of the recruitment process. The offer is not binding until a signed contract is in place. Your Benefits at Exadel Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details. International projects In-office, hybrid, or remote flexibility Medical healthcare Recognition program Ongoing learning & reimbursement Well-being program Team events & local benefits Sports compensation Referral bonuses Top-tier equipment provision Exadel Culture We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.

Location: Berlin (Germany) Data Scientist - Join Our Innovative Team at think-cell Software Our Story At thinkcell, we create powerful software solutions that help professionals be more efficient and productive. Founded in 2002 and based in Berlin, our tools integrate seamlessly with Microsoft Office to help users create presentations, charts, and diagrams with ease. Our dynamic, international team values creativity, collaboration, and technical excellence. What You Will Do We're a Data Team that operates like a scaleup within an established company: real ownership, short decision paths, and room to shape things. No corporate bureaucracy – but the resources of a mature business. Our team is made up of experienced senior individual contributors who work independently, challenge each other constructively, and collaborate closely on solving complex problems. It is an environment with a high level of trust, autonomy, and strong opportunities to learn from experienced peers across both technical and business topics. You don't just analyze – you drive. You proactively identify gaps, inefficiencies, and opportunities for improvement, build the foundations to answer questions, and make sure stakeholders don't just receive dashboards, but know what to do with them. Key Responsibilities: Translate complex product and business questions into structured analytical, statistical, and machine-learning approaches Develop predictive and diagnostic models and derive robust signals from customer, product, and behavioural data Own solutions end to end - from outcome definition, feature engineering, and validation to operationalization, monitoring, and continuous improvement Design analyses that identify meaningful drivers, test assumptions, and quantify uncertainty Create reusable analytical assets, including models, scores, features, and evaluation frameworks Partner with Product, Marketing, Commercial, and other teams to turn complex findings into clear decisions and actions You will be great for this position if you have 3+ years of experience in Data Science, Advanced Analytics, or a comparable role Strong SQL and Python skills, including experience with common data science and machine-learning libraries Solid knowledge of statistical and predictive modelling, feature engineering, and model evaluation Experience operationalizing analytical models for recurring business use A strong understanding of validation, data leakage, bias, uncertainty, and model limitations A pragmatic approach focused on the simplest reliable solution Strong stakeholder management skills and the ability to challenge assumptions and communicate what data can and cannot support A proactive, ownership-driven way of working Our Values As part of our team, you will embody and help shape the following principles that define us: Forward Thinking : We embrace change and challenge the status quo. Ownership : We take pride in our work and learn from our mistakes. Customer First : We prioritize delivering lasting value. Unified Team : We foster collaboration, respect, and integrity. Strive for Excellence : We set ambitious goals and pursue quality. We believe in a human hiring process, every application is personally reviewed. Why is think-cell the right place for you? We empower over 1.3 million users across 35,000 companies, including top consulting firms and major global enterprises. With offices in Berlin, Munich, Denver, Boston, London, Tokyo, and Dubai, we’re a diverse team of over 240 people, committed to innovation and excellence. thinkcell is more than a job – it's a chance to be part of an innovative, inclusive team that values collaboration and growth. We encourage applicants from all backgrounds to apply. Together, we can shape the future of productivity software. We can’t wait to see what you’ll bring to the team!

Location: United Kingdom (Hybrid); United Kingdom (Remote); United States Workplace: Remote Most money apps talk at you. Cleo talks back ✨ We're not building another finance app. We're building the world's first AI financial assistant, one that actually understands your money and makes you better at it, and we're changing the world's relationship with money in the process 💰 For everyone, whatever their background or balance. The proof: profitable, fast-growing, a unicorn with over $300M in ARR, and millions of people who now feel differently about their money. We love original thinkers who challenge the status quo. We move fast, tell the truth, and there's nowhere to hide from good work here. If that excites you more than it scares you, you'll fit right in. Follow us on LinkedIn https://www.linkedin.com/company/cleo-ai/ for new features and the occasional roast 🔥 MEET THE TEAM 👥 Here at Cleo we have team of ~135 member in our Borrow Pillar and ~8 dedicated to Credit Policy and Analytics. This function brings together several specialisms, all working toward managing portfolio performance; designing the systems, models, and controls that make lending sustainable. They drive to build and grow a portfolio of responsible EWA & Pay Later products that can scale across markets while protecting users from high cost debt trap. ABOUT THE ROLE ✍️ We're hiring a Head of Data Science to lead credit performance measurement and monitoring within our Risk & Payments pillar. This is a player-coach role: you'll manage a team of Credit Data Scientists and Analysts, splitting your time between hands-on analysis and leading the team - setting direction, developing people, and owning the function's output. You'll own the frameworks and metrics that keep our credit products healthy, and drive the deep-dive analyses that explain performance shifts and turn them into action. Key areas of impact: - Own credit performance measurement - design and maintain Cleo's risk metric framework (arrears, default, yield, LTV, marginal loss), and the dashboards/alerts that catch arrears spikes, roll-rate shifts, and decisioning anomalies early. - Bridge model health and business decisions - partner with Risk Modelling to translate model metrics (AUC, PSI, calibration, drift) into policy and product recommendations, and diagnose whether performance moves are model-driven, macro, or operational. - Lead root-cause analysis - own investigations end-to-end (question → analysis → recommendation) on issues like arrears spikes or yield compression, using driver analysis (SHAP, feature importance, decomposition), and present findings to Risk, Product, and Leadership. - Support policy and decisioning - work with Credit Policy and Decision Science to build evaluation frameworks for policy changes, quantify their marginal impact, and support elasticity/profitability modelling on pricing and limits. - Manage and develop a team - directly manage Credit Data Scientists and Analysts: set priorities, manage performance, and grow the team, not just direct project work. WHAT WE'RE LOOKING FOR 🕵️ - Strong SQL and Python skills, comfortable working directly from the warehouse - Track record owning analyses end-to-end - from framing the question to shipping a recommended change - Hands-on experience with predictive models (credit, fraud, or similar), fluent in AUC/Gini, calibration, PSI/CSI, and drift - Fluency in credit portfolio metrics (arrears buckets, roll rates, loss rate, yield/marginal loss) and how they tie to unit economics - Experience directly managing analysts or data scientists - priorities, performance, and people development - Nice to have: experience with short-term or revolving credit products - Nice to have: experience with both UK and US regulatory frameworks WHAT WE OFFER We offer benefits package built to support you in and out of work. Benefits vary by country 🌍 and include meaningful equity, comprehensive health insurance, mental health support, a paid one-month sabbatical after four years, a learning & development platform, pension or retirement contributions, and location-specific leave entitlements. For the full breakdown on what's available in your location, visit our Candidate Hub https://meetcleo.notion.site/Cleo-Candidate-Hub-3b95c63b874580e9a068fdc6c8929ebf 👈 WHAT MATTERS Cleo's mission is to change the world's relationship with money. We can't do that without building a brilliant, genuinely diverse team - and making sure our hiring process gives everyone a fair shot, running a fair and transparent recruitment process in which every candidate is considered on their merits. We're glad to make reasonable adjustments at any stage of the process. If there's anything we can do to support you in showing us your best, please let your recruiter or one of the team know. We may use AI-assisted tools during the recruitment process to take support the team in different ways like taking notes or referring back to conversations. They do not replace the team and all applications are reviewed by a Cleo employee thoroughly!

Задачи: — Проектировать и развивать gameplay-архитектуру в своей зоне ответственности: модульность, переиспользуемость, слабая связанность систем; — Участвовать в техническом планировании, декомпозировать фичи, оценивать сложность и риски; — Проводить код-ревью у коллег, поддерживать единые стандарты кода; — Внедрять AI-инструменты в рабочий процесс: от быстрого прототипирования до автоматизации рутинных задач; — Помогать более младшим разработчикам, делиться экспертизой, выступать ментором внутри команды; — Настраивать процессы в своей области (сборки, тестирование, документация); — Взаимодействовать с дизайнерами, геймдизайнерами и художниками на уровне системных решений. Требования: — Опыт коммерческой разработки на Unreal Engine 5 — от 4+ лет; — Уверенное владение C++ в контексте UE5, понимание внутреннего устройства движка; — Глубокое знание Gameplay Framework (Actors, Components, Controllers, Pawns, GameMode, GameState, PlayerState, Subsystems); — Опыт построения модульных приложений внутри UE-проекта (плагины, подсистемы, runtime/editor-модули); — Практика использования data-driven подходов (Data Assets, Data Tables, Gameplay Tags) для настройки логики; — Реальный production-опыт с Gameplay Ability System (GAS) и понимание архитектуры UI в UE5 (Common UI или аналоги); — Умение декомпозировать крупные фичи, оценивать сроки и аргументировать технические решения; — Понимание производительностных узких мест, опыт построения асинхронных и многопоточных систем. Преимущества: — Опыт разработки мультиплеерных проектов: репликация, RPC, авторитарная модель, сетевая оптимизация; — Участие в выработке архитектурных стандартов, написание технической документации; — Навыки оптимизации (профайлинг, снижение нагрузки на CPU/GPU, управление памятью); — Опыт использования AI-инструментов в реальном production: LLM для код-ревью, генерации тестов, авто-документирования, анализа логов; — Высокая самоорганизация, умение работать в полностью удаленном формате, асинхронно коммуницировать и вести задачи в трекере. Кого ищем: — Разработчика, который вырос из позиции Middle и готов брать на себя больше ответственности; — Человека, который видит систему целиком, а не только свою локальную задачу; — Специалиста, который умеет доводить процессы до прозрачности: чистая документация, предсказуемые релизы, воспроизводимые сборки; — Кандидата, для которого AI — это рабочий инструмент, а не игрушка. Условия: — Полностью удаленная работа (гибкий график, но синхронизация с командой в рабочее время); — Полный день, 90 000 ₽ на руки; — Уровень: Middle+ (с реальными лидерскими задачами); — Работа над игровым проектом студии (детали — после подписания NDA); — Прямое влияние на технические решения и развитие проекта.

Location: Remote, United Kingdom 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 Backend Engineer with the Database Excellence group , you'll build and evolve the data frameworks and tooling that keep GitLab's application datastores scalable, healthy, and safe across both GitLab.com and thousands of self-managed instances. A primary focus for this role is building proactive data growth controls for GitLab.com, including retention and lifecycle management frameworks, enforcement of retention policies at schema-change time, and tooling that keeps database growth sustainable as AI-driven development accelerates how quickly data accumulates. You'll help teams across GitLab reason confidently about data architecture, placement, and lifecycle management, while proactively identifying saturation points in our GitLab.com infrastructure and driving corrective actions with partner teams. With the team's recent move into the Data Engineering organization, you'll also shape new scalability and data health features for self-managed customers, working hands-on with PostgreSQL and Ruby on Rails in a fully remote, highly collaborative environment. Some examples of our projects: Data Growth Controls (retention enforcement and data lifecycle management) SQL Traffic Replay Tooling Background Operations Framework What you'll do Develop and iterate backend features and data frameworks that make it safe and efficient for GitLab teams to work with data at scale across SaaS and self-managed deployments. Design and build data retention and lifecycle management frameworks, including retention policy enforcement, bulk data removal tooling, and automated identification of tables that need retention policies. Build shift-left guardrails, such as static analysis checks and schema-change-time enforcement, that catch unsustainable data growth patterns before they reach production. Collaborate closely with product management, UX, frontend, infrastructure, software delivery, and analytics teams to design and ship high-performing solutions Review and improve database-related changes from other engineers and community contributors, ensuring data integrity, safety, and performance across all deployment scenarios. Design, build, and maintain tooling such as SQL traffic replay and background operations frameworks to proactively surface and address scalability and performance issues. Research, design, and implement improvements to data retention and lifecycle management, database performance, scalability, and data health, including areas like soft delete strategies and database migration testing. Document database best practices, patterns to avoid, and data architecture guidance to enable developers to make informed decisions. Develop proactive tooling and guardrails that help developers detect and remediate potential performance and data issues early in the development lifecycle. What you'll bring Professional software engineering experience working with PostgreSQL in large, complex production environments, including high availability solutions with automatic failover and zero-downtime data migrations as well as managing large or fast-growing datasets through approaches such as data retention, archiving, partitioning, or lifecycle management. Proficiency with Ruby on Rails or another Ruby framework, including designing, implementing, and reviewing backend features. Ability to reason about software design, algorithms, and performance trade-offs at a system level. Strong written communication skills and comfort working asynchronously in an all-remote, distributed team. Self-directed work style with effective organizational skills and the ability to manage priorities as a "manager of one". Alignment with GitLab's values, including transparency, collaboration, inclusion, and contribution to open source. Openness to learning and applying new tools and approaches, including transferable experience from related data, infrastructure, or developer tooling domains. Willingness to participate in our tier 2 dabase on-call rotation in your time zone. The Database Excellence Group is a remote, agile backend team that builds and maintains the frameworks, patterns, and tooling that enable GitLab teams to work confidently with data at scale across all application datastores. As part of the broader Data Engineering organization, we focus on data scalability, health, and developer enablement for both GitLab.com and thousands of self-managed deployments, collaborating closely with infrastructure, software delivery, and analytics stages to ensure data changes are safe, performant, and compatible across diverse environments. We are independent, self-organized contributors, and we collaborate asynchronously across regions. We are currently expanding our mission from proactively identifying and addressing saturation points in GitLab.com infrastructure to also delivering scalability features and data health initiatives to self-managed customers. 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 .