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Location: New York WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW The Staff Web Designer joins Harvey's Web team to define and elevate the design experience across harvey.ai http://harvey.ai and all web-facing surfaces. The team is responsible for translating Harvey's brand and product story into compelling, accessible, and high-performing web experiences that drive awareness, engagement, and pipeline. In this role, you will own and evolve the website design system, lead user research and testing initiatives, and set the quality bar for every page that ships. You will partner closely with web engineers, motion designers, product marketing, and brand stakeholders to deliver end-to-end design solutions at the pace a category-defining legal AI company demands. It is a rare opportunity to shape how the world first encounters Harvey—and to build the design infrastructure that scales that experience. WHAT YOU'LL DO - Own and evolve the website design system—establishing scalable patterns, component libraries, and governance standards that maintain consistency and accelerate delivery across all web surfaces. - Lead the end-to-end design process for web projects, from concept and user research through interaction design, prototyping, and detailed technical specification hand-off to web engineers and motion designers. - Drive innovation through exploration, prototyping, and user testing to continuously improve user experience, conversion, and accessibility across harvey.ai http://harvey.ai and related properties. - Mentor junior web designers, embedding best practices around responsive design, accessibility, and design-system governance to raise the team's collective quality bar. - Run design demos, present work to marketing leadership and cross-functional stakeholders, and articulate design rationale with clarity and expertise. - Leverage AI tools and emerging technologies to accelerate design workflows, explore new interaction paradigms, and push the boundary of what a best-in-class legal AI website can be. WHAT YOU HAVE - 8+ years of professional design experience with a significant focus on web and digital product design, including demonstrated impact at a staff or senior-staff level. - A portfolio that showcases mastery of user experience design, interaction design, responsive web design, and design-system architecture. - Deep expertise in systems thinking—building, scaling, and governing design systems that serve multiple teams and use cases. - Strong command of modern design tools (e.g., Figma) and comfort working at the intersection of design and front-end development, including providing pixel-level specifications and technical hand-offs. - Demonstrated ability to leverage AI-assisted design workflows and a track record of raising quality and velocity in fast-paced, high-growth environments. - Excellent communication and presentation skills, with experience running design reviews, stakeholder demos, and cross-functional critiques. COMPENSATION $146,600 - $219,800 USD DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74. #LI-LR1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: Amsterdam, Netherlands; London, United Kingdom; Remote - Europe; Zurich, Switzerland About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. We are seeking a Staff Applied AI Researcher to join a fast-growing team building an agent-native search platform - the web access layer for AI systems. You can think of this as Google search, but for AI agents: a system designed for machines, not humans. We are building agentic search, where AI systems actively plan, retrieve, evaluate, and refine information rather than simply returning results. As AI becomes the primary interface to the web, this layer will replace the role of traditional search engines. We are designing these systems to search and reason over web data in real time, under strict latency and reliability constraints. This means solving retrieval, ranking and passage extraction under entirely new access patterns and at significant scale, with systems operating over constantly changing, unstructured data and serving tens of thousands of production workloads 24/7. This role comes with ownership over key parts of our applied AI research direction and system design, with a strong expectation of defining new approaches and shipping measurable impact in production. In the first year, you will own a specific part of the search stack, e.g. ranking or iterative retrieval. What you'll work on: Designing an agent-native search system that handles everything from low-latency single-hop search to complex deep search tasks requiring iterative planning, querying, refinement and reasoning. Training ranking and retrieval models optimized for agent-driven workflows under real world constraints Bringing the latest advances from the research community to our search stack and ship it to production. Your responsibilities: Drive applied research and technical direction across retrieval and ranking systems Design and evolve multi-stage retrieval architectures (query understanding, rewriting, retrieval, reranking and iterative retrieval) Lead experimentation on modern retrieval approaches (embedding research, sparse and hybrid retrieval, reranking, context compression) and bring them into production Develop methods for grounding LLMs in real-time web data at scale, using trust, quality and freshness signals to surface reliable sources Partner with the evaluation team to define new metrics for agentic systems, where correctness is not reducible to clicks Analyze trade-offs across relevance, latency, and cost, and work closely with engineering to deploy systems that operate at web scale Mentor researchers and engineers and help raise the technical bar of the team Must haves: 8+ years of experience in applied AI, ML, or software engineering Proven track record of shipping ML or AI systems to production at scale Deep experience with search, retrieval, ranking or building RAG-based assistants Strong understanding of modern deep learning, especially transformers and embeddings Experience with LLM-integrated or knowledge-intensive systems Experience designing evaluation frameworks and metrics for ML systems Strong programming skills in Python Top-tier publications ( ICLR , ICML , NeurIPS, AAAI , EMNLP , ACL ) Ability to operate in a fast-moving, product-driven environment with high ownership and autonomy Nice to haves Background in agentic AI systems (agents, tool use, autonomous workflows) Experience with RL post-training of LLMs or VLMs Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: New York, NY, United States About Us Fanatics is a leading global sports platform redefining how fans connect with the teams, players and moments they love. Our businesses — Fanatics Commerce, Fanatics Collectibles, Fanatics Betting & Gaming, Fanatics Events, Fanatics Advertising, Fanatics Markets and Fanatics Studios — maximize the presence and reach for hundreds of partners globally and create a one-stop experience that allows fans to buy, bet, collect, and earn, while engaging with sports in deeper, more immersive ways. This includes licensed fan gear and lifestyle products, sportsbook and iGaming, physical and digital trading cards, live events, premium sports entertainment content, credit card offerings and more. Together, they form a powerful, integrated ecosystem — connected by the Fanatics ONE loyalty program and FanCash, the currency of sport — delivering personalized experiences to over 100 million fans worldwide. Fanatics holds partnerships with over 900 sports properties, from professional leagues and players’ associations to teams, colleges and retail partners; over 7,000 athletes and celebrities; and over 2,000 retail locations, including all Lids stores. Backed by a team of more than 22,000 employees, Fanatics is committed to relentlessly enhancing the fan experience. About the Team Launched in 2021, Fanatics Betting and Gaming is the online and retail sports betting subsidiary of Fanatics, a global digital sports platform. The Fanatics Sportsbook is available to 95% of the addressable online sports bettor market in the U.S. Fanatics Casino is currently available online in Michigan, New Jersey, Pennsylvania and West Virginia. Fanatics Betting and Gaming operates twenty-two retail sports betting locations, including the only sportsbook inside an NFL stadium at Northwest Stadium. Fanatics Betting and Gaming is headquartered in New York with offices in Denver, Leeds and Dublin. As a Staff Software Engineer, you'll play a key leadership role within the Sportsbook team at FBG, driving the design and development of a highly scalable, fault-tolerant online sportsbook platform. You'll work on critical areas such as sportsbook market integration, risk management, tooling and other backed systems that deliver seamless customer experiences. In addition to hands-on technical contributions, you'll provide technical mentorship, guide architectural decisions, and analyze complex system challenges to ensure robust and efficient solutions. You'll collaborate across teams, influencing best practices and leading key projects that enhance the sportsbook experience within the broader Fanatics ecosystem. Responsibilities Drive the development, testing, documentation, and deployment of high-quality, stable, scalable software into production Develop a comprehensive understanding of the industry, product, and roadmap, leveraging this knowledge to shape team strategy and influence the direction of the organization Lead the end-to-end technical execution of complex features and systems, from ideation and architecture to deployment and refinement Align and streamline designs across your department, promoting clarity and simplicity in technical direction while upholding organizational goals. Partner closely with product, design, and other stakeholders to make high-impact technical decisions that align with both business goals and long-term scalability Lead incident resolution as part of the on-call rotation, ensuring swift diagnosis and remediation of critical software issues Proactively identify and remove roadblocks, occasionally collaborating cross-team collaboration to maintain momentum on complex projects Conduct and elevate code reviews, sharing expertise to enhance code quality Steer team planning and design discussions, introducing innovative approaches to solve technical challenges and optimize design patterns Champion improvements to software quality, testability, operational metrics, and team documentation, setting a higher standard for the organization Mentor and coach engineers at all levels, fostering a culture of continuous learning and professional growth across the team Be open to occasional travel to Fanatics offices and other locations for conferences, events, meetings, and team-building activities Required Qualifications 7+ years of experience building highly scalable, performant and evolvable backend distributed systems; proficiency in Spring and Java is a must. Demonstrated ability to drive best practices in backend development and mentor others in effective coding and architectural strategies, such as clean code, domain driven design and other design and architectural patterns Knowledge of observability practices, including logging, monitoring, and tracing in distributed systems. Expertise in Agile software delivery, with a track record of modeling and driving process improvements across teams, and ability to collaborate cross-functionally across diverse teams within large enterprise environments, driving alignment and shared success. Excellent communication skills, capable of conveying complex technical concepts clearly and effectively to diverse audiences, including engineers, executives, and non-technical stakeholders. Adaptable mindset, comfortable with shifting priorities and new initiatives in a fast-paced, evolving organization. Team-first mentality, with a willingness to do what it takes to get the job done and a desire to strive for better. Preferred Qualifications Strong Experience in the sports industry, gaming and content delivery Highly effective with Java, Spring boot, React. Expertise in messaging technologies such as Kafka with a solid understanding of event-driven architectures. Comfortable working with Cloud Native and Infrastructure as Code, like Kubernetes, Helm and Terraform Ability to work in diverse codebases, both legacy and greenfield, in different languages and environments Background in startups or high-growth environments. Depending on the role, your interview and onboarding experience may include in-person components, such as onsite interviews or Launching into Better: LIVE—a multi-day cultural immersion in New York City for full-time, non-seasonal hires. These sessions are designed to build connection and bring our culture to life, though specific travel and participation requirements will be confirmed based on your role and location. Your recruiter will provide clear guidance at each stage of the process. For information about our benefits, please visit https://benefitsatfanatics.com/ #LI-KR1 Ranges will change based on country and state of residence, which are reflected in Geographical Zones defined by Fanatics Betting and Gaming. The range incorporates all of our Geographical Compensation Zones and is subject to change as the Zone associated with the actual offer is confirmed. In addition to the base and bonus, full-time employment, and more. For information about our benefits, please visit https://benefitsatfanatics.com/ Salary Range $144,400 — $237,000 USD By submitting your application, you agree to our terms of service and acknowledge you have read our Candidate Privacy Policy. Fanatics will never ask candidates for money, banking information, or other sensitive personal information as part of the interview process. If you receive a suspicious message claiming to be from Fanatics recruiting, please do not respond and report it here .

Location: Remote; New York Workplace: Remote Patreon is a media and community platform where over 300,000 creators give their biggest fans access to exclusive work and experiences. We offer creators a variety of ways to engage with their fans and build a lasting business including: paid memberships, free memberships, community chats, live video, and selling to fans directly with one-time purchases. Ultimately our goal is simple: fund the creative class. And we're leaders in that space, with: - $10 billion+ generated by creators since Patreon's inception - 100 million+ free memberships for fans who may not be ready to pay just yet, and - 25 million+ paid memberships on Patreon today. We're continuing to invest heavily in building the best creator platform with the best team in the creator economy and are looking for a Staff Software Engineer, Data Infrastructure to support our mission. This role is remote, with optional in-person attendance in either the New York or San Francisco office. About the Team The Data Foundations team at Patreon builds the pipelines, models, and infrastructure that power both customer-facing and internal data products. The Data Infrastructure function within the team owns the foundational platform — streaming, batch, and data lake infrastructure — that every data pipeline, analytics workload, and ML system at Patreon runs on. You'll join a small, high-craft team that partners across Product, Data Science, Infrastructure, and the rest of Engineering to make sure the platform underneath all of that work is reliable, scalable, and easy for other engineers to build on. About the Role - Architect, build, and operate large scale batch and streaming platforms that directly power Patreon product features, analytics, and experimentation. - Stand up and scale event-driven and streaming systems (Kafka, Kinesis, PubSub, or similar) for real-time data ingestion, transformation, aggregation, and delivery to different data storage systems. - Build self-serve data platforms that let engineers, data scientists, and analysts safely discover data, define contracts, and create and operate pipelines with minimal friction. - Partner with the broader Infrastructure, Platform, and product engineering to drive architectural decisions across storage, compute, deployment, and orchestration to align the data ecosystem with Patreon’s roadmap. - Build the tooling, monitoring, and observability that gives engineers confidence in the data platform's reliability and performance. - Mentor other engineers on infrastructure and streaming best practices, and help shape the long-term data infrastructure roadmap. What you'll need: - 8+ years of software engineering experience, including 4+ years focused on data or platform infrastructure. - Deep, hands-on experience architecting both batch (Airflow, Dagster, or similar) and stream processing systems at scale (Spark, Flink, Kafka Streams, or similar). - Familiarity with data quality, lineage, observability, and governance tooling. - Strong programming skills in Python (Java, Scala, or Go a plus) and SQL. - Familiarity with cloud infrastructure and broad fluency across data stores: Object storage (S3), RDMS (MySQL, or Postgres, etc.), Key value (DynamoDB), OLAP (Clickhouse, Pinot, or Druid, etc.), search/indexing (Elasticsearch) plus data flow patterns for keeping them in sync with source systems. - Excellent collaboration and communication skills; comfortable driving cross-functional infrastructure decisions. - Bachelor's degree in Computer Science, Computer Engineering, or a related field, or the equivalent. Bonus if you have: - Experience with Delta Lake/Iceberg, AWS, or Databricks. - Contributed to open-source streaming or infrastructure tooling. - Experience supporting ML/AI workflows, training pipelines, or evaluation systems. We hire talented and passionate people from different backgrounds because workplace diversity and inclusion is critical to our ability to serve creators worldwide. If you’re excited about a role but your past experience doesn’t match with every bullet point outlined above, we strongly encourage you to apply anyway. If you’re a creator at heart, are energized by our mission, and share our company values, we’d love to hear from you. About Patreon Patreon powers creators to do what they love and get paid by the people who love what they do. Our team is passionate about making this mission and our core values come to life every day in our work. Through this work, our Patronauts: - Put Creators First | They’re the reason we’re here. When creators win, we win. - Build with Craft | We sign our name to every deliverable, just like the creators we serve. - Make it Happen | We don’t quit. We learn and deliver. - Win Together | We grow as individuals. We win as a team. Patreon is proud to be an equal opportunity employer. We provide employment opportunities without regard to age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, veteran status, or any other protected class. If you need a reasonable accommodation during the interview process, please let us know via email at accommodations@patreon. Patreon offers a competitive benefits package including and not limited to salary, equity plans, healthcare, flexible time off, company holidays and recharge days, commuter benefits, lifestyle stipends, learning and development stipends, patronage, parental leave, and 401k plan with matching. Patreon operates under a hybrid work model, where employees based in office locations are expected to come into the office two days per week, excluding sick time and paid leave. The goal of this policy is to be intentional about the in-person time we spend together to strengthen the feeling of community at Patreon. Candidates hired into remote-eligible roles are not expected to meet the same requirements. At Patreon, we believe in fair and transparent pay. In compliance with New York and California pay transparency laws, we are sharing the expected salary range for this role. The posted salary range is dependent on the location and the level. This range may encompass multiple levels within the role’s job family. The final offer will be based on candidate’s experience, skills, competencies, and geographic location, aligning with the appropriate job level within Patreon’s leveling framework. For remote employees located outside CA and NY, salary may vary based on location and local market conditions. Patreon reserves the right to modify or update compensation and benefits at any time.

Location: Remote US At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. About the Role Affirm is building its own bank — and this role is one of the most senior individual-contributor seats on the engineering team that runs it. We're looking for a Staff Software Engineer to be a technical anchor for a deliberately small, AI-native team that owns the systems behind Affirm's bank: vendor-integrated banking infrastructure, the data platform, and the operational tooling that holds it all together. You'll set technical direction across that surface area, own the hardest problems on the team — including the Bank ↔ Affirm Inc integration boundary — and operate with direct exposure to senior bank and Affirm leadership. This is a rare opportunity to shape a new business from its very first systems — a startup-like build inside an established company — at a level of ownership that goes beyond delivering your own projects. As a Staff engineer here you set the bar: the architecture, the standards, and the technical strategy that the rest of the team builds against. The team is small and AI-native, the surface area is broad, and the decisions you make carry far — every system you ship serves real customers under a real bank charter, and the patterns you establish determine what the bank becomes. What You'll Do Set technical direction across the bank's systems. Own the medium-to-long-term technical strategy for the bank's core surfaces — cloud infrastructure, data platform, core banking configuration, CI/CD, networking, and the Bank ↔ Affirm Inc integration — and make the architecture calls the rest of the team builds against. Generalist breadth is expected; you go deep where the risk is highest. Own the hardest problems end-to-end. Personally design, build, integrate, and operate the most ambiguous and highest-stakes pieces of the stack, and own incident response for them. You take the problems no one else can fully scope and turn them into well-defined systems with clear failure domains, monitoring, and runbooks. Be the force multiplier on a small team. Set and hold the bar for code review, design review, and examiner-readable documentation. Establish the patterns and standards that let a deliberately small team punch far above its size, and level up every engineer who joins after you. Ship AI-first, and push the frontier of it. Treat AI tools and agentic workflows as a load-bearing capability for code, design review, runbook generation, and operations — and actively push yourself and the team on what an AI-leveraged engineering function can deliver in place of additional headcount. Lead vendor selection and ownership. Drive evaluation, integration, and ongoing oversight of the bank's third-party platforms across the core, data, identity, observability, and card-processing stacks. Carry the bank's most critical vendor relationships end-to-end: integration, operations, escalation, and audit. Define the integration boundary with Affirm Inc. Set the domain edges, data flows, and integration patterns between the bank and Affirm Inc so the bank's products work seamlessly inside the Affirm ecosystem while preserving the legal and regulatory separation the charter requires. Drive this across Affirm Inc engineering teams whose systems integrate with the bank's. Build for examiners. Partner with Legal, Compliance, Risk, BSA/AML, Finance, and Internal Audit so compliance is a property of the product from day one. The systems you design are the artifacts FDIC and state examiners will inspect — design and document them to a standard that holds up under examination and audit review. Own the operational posture of the bank's systems. Set the reliability, observability, alerting, runbook, incident-response, and disaster-recovery practices that keep the bank standalone-operable and audit-ready, while keeping the operational footprint intentionally small. You will support the operations and availability of your team’s artifacts by creating and monitoring metrics, escalating when needed, and supporting “keep the lights on” & on-call efforts. Influence up and across the organization. Communicate technical strategy, tradeoffs, and constraints with clarity to bank executives, the Bank Board, Compliance, Risk — and to engineers outside the bank across the broader Affirm org. The relationships you build beyond the team shape how cleanly the integration boundary works. Help grow the team and the bar. As engineers join, they inherit a function whose architecture, practices, and standards you helped set. Mentor peers, provide high-signal feedback, contribute to hiring, and lead by example. What We Look For 8+ years of software engineering experience, with staff-level, hands-on builder credentials and a track record of owning ambiguous, high-stakes systems end-to-end through launch and operations Comfortable owning ambiguity at the largest scale on the team — you move fast, make the tough prioritization calls, take ownership before being asked, and balance speed with the engineering judgment the hardest decisions require Hungry to leverage AI to drive outcomes — fluent with AI-assisted development tools (Claude, Cursor, Codex, agentic workflows) and actively pushing yourself and your team to use them as a multiplier for code quality, velocity, and what a deliberately small team can ship Bias toward simplicity — experience building toward a small, lean engineering culture that rewards "buy over build", a default-deny posture, and standalone-operability over an abundance of tooling A track record of setting technical direction — you've defined architecture and multi-quarter technical strategy for systems beyond your own projects, and led the execution of it across engineers and teams without needing a management title to do so Deep systems thinking across public cloud infrastructure (AWS preferred), infrastructure-as-code (Terraform), and cloud data platforms (Snowflake or comparable) — you understand their failure modes and tradeoffs, not just their surface APIs Regulated-environment experience — direct work in banking, payments, securities, healthcare, or another setting subject to external examination, where the work involves examiner-facing documentation and decisions Direct experience selecting, integrating, and operating meaningful third-party platforms under operational ownership after launch Comfortable as the technical face of the work to non-engineering stakeholders — bank executives, the Board, Compliance, Risk, Finance, and examiners — and able to document decisions so they hold up under audit review Exceptional written and verbal communication — you can distill complex technical, regulatory, and operational concepts into clear narratives for executives, boards, and non-engineering audiences This position requires either equivalent practical experience or a Bachelor’s degree in a related field Nice to have Prior work inside a bank, neobank, Banking-as-a-Service provider, card issuer/processor, or fintech with a chartered bank subsidiary Direct experience with a de novo bank launch, an early-stage bank buildout, or a greenfield regulated platform Hands-on experience with a bank core, card processing / issuer processor integration, or digital bank experience integration Hands-on experience standing up a greenfield cloud organization — fresh cloud org, IAM model, and data platform — under a tight, default-deny security posture Familiarity with the regulatory framework that shapes the work: FDIC examinations, GLBA / Reg P (affiliate data sharing), BSA/AML, Reg E, Reg DD, Reg Z, model risk, and third-party risk management Compensation & Location Base Pay Grade - P Equity Grade - USA 13 Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills. Base pay is part of a total compensation package that may include monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents). In addition, the employees may be eligible for equity rewards offered by Affirm Holdings, Inc. (parent company). USA base pay range (CA, WA, NY, NJ, CT) per year: $230,000 - $290,000 USA base pay range (all other U.S. states) per year: $204,000 - $264,000 Benefits 100% employer-subsidized medical, dental, and vision coverage for employees and dependents Flexible spending wallets for technology, food, lifestyle, and family formation Competitive vacation and holiday schedules Employee Stock Purchase Plan #LI-Remote Remote-first with flexibility built in Affirm is proud to be a remote-first company. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in-person work at an Affirm office, and a few are office-based due to the nature of the work. All new hires will be invited to attend an in-person onboarding experience. Benefits designed for you Our benefits reflect our commitment to care, transparency, and flexibility. Here are a few highlights: Health coverage at no cost: We cover 100% of premiums for employees and their dependents. Spending stipends: Monthly stipends support your tech setup, and the ability to choose health and wellness options that are right for you. Time off to recharge: Flexible time off and generous holiday calendars help you rest when you need to. Own a piece of what you build: Our employee stock purchase plan (ESPP) lets you buy Affirm stock at a discount. We’re committed to providing an inclusive interview process, including accommodations for candidates with disabilities. If you need support, we’re happy to help. For positions based in San Francisco or Los Angeles: Affirm considers qualified applicants with arrest and conviction records, as required by law. By clicking "Submit Application," you acknowledge that you have read Affirm's Global Candidate Privacy Notice and consent to the use of your personal information as described.

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 Staff Engineer, you'll be the technical anchor for GitLab's Nonlinear Productivity team in the US: the person who decides what "proven" means before something ships, and who helps shape what the team builds next, not just how to build it. It's a from-scratch, generalist team with no dedicated product manager — that ownership starts on day one. Some examples of the problems this team takes on: Cutting the time it takes to complete a good code review — one that still keeps a human in the loop — by half, using agentic solutions. Turning a manual, error-prone release step into an agentic workflow that catches its own mistakes before a human ever has to. What you'll do Set the technical direction for the team's agentic systems, from how agents are orchestrated to where a step should stay human-owned, and defend those calls once they're tested against real code. Discover and prioritize sources of friction across GitLab's SDLC, driving the fix — agentic, process-based, or both — from a rough hypothesis through to a shipped, measured result. Work across any part of GitLab's codebase as the problem requires, since this team operates like a small, generalist group rather than one scoped to a single service. Apply distributed systems judgment to catch cases where generated code looks correct but breaks under concurrency, at scale, or across deployment topologies (including self-managed, dedicated, and multi-tenant environments), and coach others to do the same. Mentor senior and mid-level engineers on agent engineering practices and distributed systems judgment, through design reviews and pairing that raise the team's collective bar rather than just your own output. Collaborate with the India-based group a few times a week to align on the roadmap, and represent the team's technical progress to stakeholders in the Chief Technology Officer's organization. Serve as a bar raiser for the team's hiring, owning the Technical Leadership round for other Staff-level candidates as the team scales. Own a greenfield technical foundation from day one, with your scope and impact free to grow as the team scales. Take part in on-call or operational support where your team’s ownership model requires it. What you'll bring Experience building reliable agentic or large language model (LLM)-based systems, including multi-step orchestration, tool use, guardrails, and recovery. Ability to work autonomously in unfamiliar codebases and drive solutions from discovery through completion. Strong distributed systems and computer science fundamentals, including coordination, consistency, idempotency, rate limiting, failure modes, and degradation under load. Proficiency in Go, Rust, or Python, with the ability to read and modify code in the others. A track record of delivering results from unclear or incomplete requirements — able to take a complex, loosely specified problem and decompose it into a concrete proposal of small, shippable steps. Experience designing evaluation frameworks for systems where "looks plausible" and "is actually correct" are different questions, and a track record of raising the quality bar for a team's output, not just your own. A history of unblocking and enabling teammates — through design reviews, technical writing, or mentoring — and of engaging regularly with other teams to find where collaboration actually pays off. About the team Nonlinear Productivity — shortened internally to "NLP," with no relation to natural language processing — is one of GitLab's newest teams: a strategic incubation group that reports into AI Platform leadership under the direct sponsorship of the CTO. It's split into a US group (this role) and an India-based group working the same charter; the two sync on roadmap and tooling a few times a week but otherwise run day to day on their own. Solutions that prove out internally are the team's path to a monetized, customer-facing GitLab offering. It's a good fit for engineers who want technical ownership of something with no existing playbook, and a hand in defining a brand-new part of GitLab from its first commit. Remote-Global 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: Remote (Canada) Workplace: Remote BUILD SOMETHING PEOPLE LOVE Wealthsimple is Canada’s leading financial innovator. The company offers a full suite of simple, sophisticated financial products across managed investing, do-it-yourself trading, cryptocurrency, tax filing, spending and saving. Wealthsimple currently serves more than 4 million Canadians and holds over $169 billion in assets under administration. The company was founded in 2014 by a team of financial experts and technology entrepreneurs, and is headquartered in Toronto, Canada. We're proud of what we've built — and we're just getting started. Read our Culture Manual https://www.wealthsimple.com/en-ca/culture and learn more about how we work https://www.wealthsimple.com/en-ca/careers. About the team We build the products and infrastructure that millions of Canadians trust with their financial lives. Data & Engineering at Wealthsimple spans everything from the client-facing apps to the systems running underneath them — and we hold ourselves to a high bar on both. We move fast, but we build thoughtfully: quality, security, and scalability aren’t trade-offs here, they’re the standard. The Production Engineering team sits within Platform Experience, on the boundary between Platform and Product. Our mandate is to raise reliability across Wealthsimple’s most critical flows — reducing incidents, helping service teams ship safely, and turning individual fixes into platform-wide improvements. We measure ourselves against two targets: 99.9% uptime on critical flows, and fewer than 1% of weekly active users experiencing errors in the app. If you want to work on hard problems with people who care deeply about craft, you’ll fit right in.   About the role This is a new role — one that doesn’t yet exist at Wealthsimple — and it’s a meaningful one. As a Staff Software Developer on Production Engineering, you’ll bring senior technical leadership to the work of making Wealthsimple more reliable at scale. You’ll work across platform and product teams, identify the highest-leverage reliability problems, and build solutions that don’t just fix the immediate issue but raise the floor for everyone. This isn’t a role where you sit in one corner of the codebase. It’s a role where you shape how engineering gets done across the company.   What you’ll do - Improve the platform to prevent incidents — designing and driving adoption of guardrails, sensible defaults, and engineering standards that reduce the likelihood of failures across services - Build tooling that reduces time to mitigation when incidents occur, including contributing to our in-house product on AI-assisted incident response - Own the investigation and follow-through on load test findings — translating results into concrete reliability improvements across critical flows - Work across platform and product engineering teams as a technical influencer — participating in architecture and readiness reviews, coaching service owners, and driving adoption of scalable reliability practices - Identify recurring failure patterns and design platform-level fixes that prevent them from showing up again in a different service - Contribute to the team’s reliability syncs with product engineering, helping align on incident themes, critical-flow risks, and the next highest-leverage initiatives   Skills you bring - 8+ years of software engineering experience, with significant time in platform, infrastructure, or SRE work - Demonstrated track record of improving reliability at scale — reducing incidents, building guardrails, or driving operational standards across multiple teams - Strong proficiency in backend systems and distributed architecture; you can diagnose complex failure modes across a service mesh - Experience with load testing and capacity planning, and the ability to translate findings into concrete engineering improvements - Proven ability to work across engineering teams as a technical influencer — driving adoption of standards and practices without direct authority - Familiarity with Kubernetes, Helm, Argo and modern deployment tooling - Strong written and verbal communication — comfortable presenting findings and recommendations to both engineering teams and senior leadership   Who you are - You think in systems — you’re not looking for the fix, you’re looking for what caused the problem and how to make sure it doesn’t happen elsewhere - You’re comfortable working without direct authority; you build credibility through the quality of your thinking and the clarity of your recommendations - You hold a high bar for operational excellence without making it someone else’s problem to catch up to — you bring people along - You’re energised by ambiguity, not slowed down by it; you know how to prioritise when everything feels urgent - You’re curious about where AI-assisted tooling is headed in reliability engineering, and you want to help shape how we use it — not just observe it from a distance WHY WEALTHSIMPLE? 🌸 Top-tier health benefits and life insurance 📈 Long-term group savings with employer match, through Wealthsimple for Business 🌴 20 vacation days, 4 wellness days, and unlimited sick and mental health days per year* ✈️ 90 days away: work outside Canada for up to 90 days per year* 👥 Employee resource groups, including Rainbow (2SLGBTQ), Women of WS, and Black at WS 🌎 We are a hybrid team with over 1,500 employees across North America. The people are one of the best parts of working here: you'll collaborate with incredibly talented, curious, and driven teammates who are deeply committed to doing great work. *Unlimited paid sick days, Wellness Days and the 90 day away program do not apply to certain roles. ICYMI Technology & Innovation at Wealthsimple: We move quickly and build thoughtfully. That means we're always looking for better ways to work — whether that's new tools, AI, or rethinking how we approach a problem. We don't expect you to have all the answers, but we do expect curiosity and a willingness to evolve alongside the products we're building. Inclusion Statement: We're building products for a diverse world, and we need a diverse team to do it well. We strongly encourage applications from everyone, regardless of race, religion, colour, national origin, gender, sexual orientation, age, marital status, or disability status. Accessibility Statement: We're committed to an accessible hiring experience. If you need any accommodations throughout the interview process, please let us know — we'll work with you to make sure you have what you need. We also welcome any feedback on how we can better accommodate candidates with accessibility needs. AI in Hiring: We may use artificial intelligence (AI) tools to support parts of our hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our team but don't replace human judgment – all final hiring decisions are made by people. If you have questions about how your data is used, reach out to us.

Location: Bangalore, India From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. ​ During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About the Role Our mission is to empower data practitioners to create and disseminate organizational knowledge. dbt Core is the open-source engine at the heart of this mission, used by tens of thousands of analysts and engineers to transform data with the rigor of software engineering. We are looking for a systems-oriented engineer to join the small, expert team that builds and maintains this foundational piece of the modern data stack. This is an opportunity to work on deeply technical, high-leverage problems where your contributions will improve the daily workflow of a massive and passionate open-source community. About The Team The dbt Core team are the stewards of the open-source engine that powers the modern data stack for tens of thousands of practitioners. This small, high-trust group of systems engineers tackles the most fundamental challenges in dbt: ensuring the performance, reliability, and architectural integrity of dbt itself. They not only own the core execution engine but also architect the crucial adapter framework that connects dbt to a growing ecosystem of databases and data platforms. As a Staff Software Engineer on the Core & Adapters team, you will be a steward of the performance, reliability, and architectural integrity of dbt. You will tackle ambiguous, open-ended problems and take ownership of critical systems. What You’ll Do Dive deep into the dbt-core execution engine, using your systems expertise to identify, debug, and eliminate performance bottlenecks in our Python codebase. Architect and implement improvements to our adapter interface, the crucial layer that connects dbt to a growing ecosystem of databases and data platforms, enabling the community to build more powerful and efficient integrations. Debug complex, system-level issues that span from Linux process management and concurrency models to database query planning and network protocols. Lead technical design discussions and contribute to the long-term architectural roadmap for dbt Core, making key decisions about what, how, and when we build to ensure its scalability and reliability for years to come. Mentor other engineers and review contributions from our vibrant open-source community, upholding our high standards for code quality, testing, and design while fostering a collaborative and inclusive environment. Take strong ownership of our distributed systems, troubleshoot complex production issues, and participate in an on-call rotation to maintain high availability and deliver a resilient platform experience. Skills We’re Looking For We are looking for an engineer with a strong performance and debugging mindset, excellent mental models for complex systems, and a deep curiosity for infrastructure and open-source software. Required Qualifications: 6+ years of professional software development experience, with a focus on building and operating backend systems in a production environment. Deep backend engineering experience and proficiency in Python. A systematic, first-principles approach to problem-solving, with comfort navigating and debugging in Linux environments (e.g., understanding process scheduling, memory management, file systems). Solid grasp of database internals, such as query execution engines, storage layers, indexing strategies, and transaction management. Excellent communication skills and a sense of ownership, with the ability to balance technical depth with fast, iterative delivery. Preferred Qualifications: A background in data warehousing, data engineering, or analytics engineering. Professional experience writing production code in Go or Rust. Experience contributing to or maintaining a popular open-source project. Experience building compilers, interpreters, or developer tooling. Familiarity with performance analysis tools like perf or strace . The Team & Our Culture You will join a small, high-trust team of senior and staff-level engineers who are passionate about building robust, well-crafted, and reliable software. We operate in a remote-first, asynchronous-friendly environment that values deep work, clear written communication, and a high degree of autonomy. We are deeply connected to our users and the open-source community, and we believe that the best solutions come from a rigorous, collaborative, and empathetic engineering process. #LI-REMOTE #LI-SA1 Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

Location: Remote (Global); Brooklyn, NY Looking to join a world-class blockchain development team? Ava Labs makes it simple to deploy high-performance solutions for Web3, led by innovations on Avalanche. The company was founded by Cornell computer scientists, who partnered with Wall Street veterans and early Web3 leaders to execute a promising vision for redefining the way people build permissionless networks. Ava Labs is redefining the way people create value with Web3. Join us as we empower people to easily and freely digitize all the world’s assets on one open, programmable blockchain platform. About the Role Looking to join a world-class blockchain development team? Ava Labs makes it simple to deploy high-performance solutions for Web3, led by innovations on Avalanche. The company was founded by Cornell computer scientists, who partnered with Wall Street veterans and early Web3 leaders to execute a promising vision for redefining the way people build permissionless networks. Ava Labs is redefining the way people create value with Web3. Join us as we empower people to easily and freely digitize all the world’s assets on one open, programmable blockchain platform. We are looking for a Staff Engineer to join our Platform Engineering Group. This team is responsible for maintaining and advancing the Avalanche blockchain and its ecosystem. Ava Labs is hiring a Staff Engineer into the Platform Engineering Group to serve as a full-time maintainer of AvalancheGo and the technical anchor for the node domain: consensus, peer-to-peer networking, state sync, the VM plugin interface, and the node's integration with the C-Chain EVM (coreth and libevm). This is a hands-on role that requires an Architect/Solver build, with tech lead responsibilities during coordinated network upgrades. You will own the health of the codebase, set the technical direction of the domain across the teams that build on it, and multiply the effectiveness of the engineers around you. What You Will Do - Own AvalancheGo as its maintainer: Maintain and advance the software powering the Avalanche network, as well as its environments. Manage contributions from both the team and the community in a fair, effective, and thoughtful manner. You hold the merge bar for network-critical code; assess contributions from the team and the community fairly and quickly, and steward backwards compatibility for the node operators and Avalanche L1 builders downstream of every release. Your review will be the last gate before code reaches every validator. - Set and enforce engineering standards. Define what production quality means for the team. - Design, build, and advance Avalanche’s critical systems. You’ll be contributing directly to the critical systems in the Avalanche network: consensus, networking (P2P), state management and sync, the VM interface, and performance of both the network nodes and their EVM integrations. - Champion reliability and production readiness. Establish observability standards (structured logging, metrics, tracing, profiling), define SLOs for node performance, and lead incident review and postmortem culture for network incidents. - Raise and define release quality. Own the engineering lifecycle for network-critical code: versioning and upgrade coordination, backward compatibility, staged rollouts across test networks, and hard test quality metrics (unit, property, fuzz, race-detection, and end-to-end network tests) before anything ships. - Mentorship. Mentor senior engineers into larger scope, run design reviews that measurably change outcomes, and spread your context deliberately so the team can onboard, operate, and extend the node without you.Turn a team of individual contributors into a team with shared standards, shared context, and a high quality ceiling. Becoming a single point of failure is a failure mode of this role, and you will be expected to resist it. - Evangelize the project within the org: Write ADRs, release notes, and technical communications; engage external contributors; and model what a great open source citizen looks like. - Drive protocol direction through the ACP process. You originate and champion Avalanche Community Proposals, represent the node's constraints in protocol design conversations, and position AvalancheGo for upgrades before they activate on Fuji and Mainnet. Your bets play out over 6 to 18 months. What Makes You a Good Fit - A self-starter with insatiable curiosity combined with being comfortable diving into someone else’s code to understand how it works. You treat the code as the source of truth and are able to discern nuances from there. - Meticulous attention to detail and an appreciation for clean, maintainable code. You create software as much for the end user as for the love of the craft. - You believe in growing a culture of excellence. As a Staff Engineer you will set the definition for development standards among your team, as well as cultivating the quality you want to see in the developers you work with. - You understand what makes a great open source project great. Not just in terms of code quality, but in terms of its ecosystem, its community, and its contributors - You have operated at Staff scope before, irrespective of whatever your title said. You can point to a workstream you created rather than inherited, one that other teams came to depend on, and to the case you built to get it funded. - You influence without authority. You have driven technical direction across teams that did not report to you, through alignment and credibility rather than escalation, and engineers from those teams would vouch for it. - You treat the code as the source of truth. You are comfortable diving into a large unfamiliar codebase, discerning its nuances from the source, and making impactful contributions within weeks. - You know what makes a great open source project great: the code quality, and equally the review culture, the contributor experience, and the trust of the ecosystem that depends on it. You have been on the maintainer side of that relationship. - You hold a high bar and make it stick. You have set standards that other engineers actually follow, pushed back when work below the bar tried to land, and done it in a way that made people want to work with you rather than around you. - You still do the unglamorous work visibly. Reviews, on-call, migrations, and documentation remain part of the job at this level, and you treat them as the job rather than a distraction from it. This Role Is Not for You If - You want to write smart contracts or build dapps. This is node and protocol engineering, several layers down. - You want a purely advisory position. - You consider reviews, on-call, migrations, and documentation to be beneath the level. They remain part of the job, done visibly. - You are uncomfortable working in public. Your code, your reviews, your design docs, and occasionally your mistakes will be visible to the entire ecosystem. What You Will Bring - 8+ years of software engineering experience, including 3+ years operating at a staff/lead level (or clearly performing at that scope), with a track record of raising team-wide engineering quality. - Expert-level Go: deep fluency with the concurrency model (goroutines, channels, the race detector), profiling and performance tuning (pprof, benchmarks), module and dependency management, and idiomatic API design in large codebases. - Significant open source experience - maintainer or sustained core contributor on a widely used project, with a public record of reviews, RFCs/design docs, and community engagement (a GitHub profile we can read is worth more than any bullet on a resume). - Proven production experience designing, shipping, and operating distributed systems at scale: consensus or replication, P2P networking, state synchronization, or comparable high-availability systems. - Strong testing discipline across the pyramid: unit, property-based/fuzz, integration, and end-to-end network testing, plus experience building CI that enforces it (GitHub Actions preferred). - Experience with release engineering for software users self-host and cannot be force-upgraded: semantic versioning, backward compatibility, migration paths, and coordinated network upgrades. - Working fluency with Linux-based infrastructure, containerization (Docker/Kubernetes), and observability tooling (Prometheus/Grafana or equivalent). - BS in Computer Science or related field, or equivalent demonstrated experience. (**This is not a guarantee of compensation or salary, a final offer amount may vary based on factors including but not limited to experience and geographic location.) WHY AVA LABS? Ava Labs builds Avalanche, the blockchain platform institutions use to bring finance onchain. Since Avalanche launched in 2020, we have helped exchanges, banks, asset managers and fintechs move from experiments to live products, from tokenized funds and private credit to stablecoin payments and, now, the clearing and settlement ledger for the NYSE’s upcoming tokenized securities platform. Avalanche lets institutions run their own purpose-built networks with the performance, costs and participation controls they need, while staying connected to a broad ecosystem of DeFi protocols, liquidity and developers. We are a team of experts in engineering, finance, economics, product and law, headquartered in New York City. You will work alongside people who have built at leading banks, exchanges and crypto companies, with the scope to shape how capital markets move onchain over the next decade. Ava Labs is backed by investors including Andreessen Horowitz, Polychain Capital and Initialized Capital. Ava Labs is committed to diversity in the workplace and we’re proud to be an Equal Opportunity Employer. We do not hire on the basis of race, color, religion, creed, gender, national origin, citizenship, age, disability, veteran status, marital status, pregnancy, parental status, sex, gender expression or identity, sexual orientation, or any other basis protected by local, state or federal law. All employment is decided on the basis of qualifications, merit, and business need.

Location: London, UK Workplace: Hybrid ABOUT BEAMERY With the rapid expansion of AI and automation, the future of work has never been more challenging for organizations. Beamery’s unique jobs, skills and tasks data platform helps organizations navigate these challenges and make more informed decisions across Talent Lifecycle Management. Our solutions power recruitment, mobility, upskilling, diversity, work architecture and workforce planning for some of the world’s most forward-thinking companies. We believe that where you work is much more than just a job. Millions of people are being left behind every day in their careers, and we’re on a mission to fix this by creating equal access to meaningful work, skills and careers for all. We are an equal opportunity employer committed to building a representative Beamery, creating an equitable, inclusive and engaging environment for our people. So, what are you waiting for? Join us and help us transform the future of work once and for all. What’s ahead — and why it’s an exciting time to join the team:  Building agentic AI with advanced orchestration (multi-agent workflows, tool use, evaluation loops) that turns complex talent data into decisions. - Training and fine-tuning our own models on unique data about jobs, skills and tasks, and benchmarking them against the best in our market. - Joining an award-winning AI team (ACM RecSys Challenge 2026) that turns new ideas into innovative solutions with scientific rigour. - Sharing our work and learning from industry peers through challenges, conferences and publications. But it’s not all about creating high-quality products, we also very much value the company culture we have worked hard to create; built on trust, empathy & honesty ensuring our workforce is able to bring their full selves to work. ABOUT THE OPPORTUNITY Our data platform powers Beamery’s reporting and underpins our AI strategy. We’re hiring a Staff Data Engineer to set its technical direction. This is our most senior individual contributor role in data engineering. You’ll own the platform’s long-term architecture, make the calls that are expensive to reverse, and lead the work that follows. You’ll also partner with EPD leadership (Engineering, Product, and Design) on work that crosses team boundaries, and on keeping the platform aligned with company strategy. The platform exists so everyone at Beamery can make faster decisions with data they trust. The role suits someone energised by ambiguity who measures impact by what the organisation can do rather than what they personally shipped. WHAT WILL YOU BE DOING AT BEAMERY? - Own the technical strategy for the data platform. Define the multi-quarter architectural vision, build the case for investment with EPD leadership, and sequence delivery incrementally rather than as a big-bang migration. You take on the work with no established playbook and turn it into designs the team can execute. Expect challenges around multi-tenant consistency, correctness at scale, performance ceilings, and data modelling for AI and agentic workloads. - Architect the analytics, semantic, and AI data layers. Define how core business metrics, feature usage signals, and skills and task intelligence data are modelled, governed, and exposed as trustworthy products to BI, self-service, and AI consumers. - Set standards that scale beyond your team. Establish the architectural patterns, modelling conventions, and data contracts other teams adopt, favouring guardrails over review gates. Grow senior engineers into stronger technical decision-makers through design review, pairing, and mentorship. - Own reliability and trust at the platform level. Set our approach to observability, data quality, SLAs, and incident response; lead RCAs on the most serious failures and drive the systemic fixes that prevent recurrence. WHAT WE’RE LOOKING FOR You’re a staff-level data engineer who has built and run data platforms for internal and external consumers. You’ve built architectures that held up as they grew with a focus on data warehousing, data lakes, and both real-time and batch processing. Teams bring you their hardest data problems. You’ve made the hard tradeoffs in distributed, multi-tenant systems and lived with the consequences. You’re just as comfortable in production: tracing how one upstream failure ripples through to customers, and making sound calls under pressure. Your impact isn’t measured in code alone. You’ve led initiatives across team boundaries without formal authority, working directly with principal engineers, platform teams, and data scientists, and treating their constraints as part of your design problem. You’ve made architectural decisions others built on for years, and driven modernisation while balancing new technology against real delivery risk. You work with minimal direction, explain tradeoffs and risks credibly to executive audiences, and change your mind as readily as you defend a position. PREVIOUS PROFESSIONAL EXPERIENCE: - Data transformations using dbt, including patterns for large, complex projects - Data storage (SQL / NoSQL): schema design, modelling at scale, and multi-tenant isolation - Back-end engineering: Python (nice to have: Typescript/Node.JS) - Pipelines: streaming, CDC, correctness, replayability, and evolution over time - Data quality and observability: validation, testing, data contracts, monitoring, alerting, and incident response - Infrastructure as code and containerisation (Terraform, Kubernetes) OUR DATA STACK Our stack will change as we grow, and you’ll be shaping those changes. The ability to learn new tools matters more than experience with any specific one. - DBT for data modelling and transformation - BigQuery data warehouse - Kafka for data streaming between systems - PostgreSQL & MongoDB for databases - Typescript/Node.JS on the backend - Kubernetes - Python - Segment for customer-centric event collection Beamery is open to engage with direct employment or contractors for this position in order to find the right fit candidate to join our team. Beamery is for Everybody. Diversity and open expression are fundamental to us. We acknowledge the challenges in our industry and strive to develop an inclusive culture where everybody can contribute. We are dedicated to creating an inclusive environment for everyone, regardless of ethnicity, religion, color, sexual orientation, gender identity, race, national origin, age, disability status, or caregiver status. If, for whatever reason, you need us to make reasonable adjustments and adaptations to our recruitment process, please email accommodations@beamery.com Visit our Diversity, Equality and Inclusion page https://careers.beamery.com/life-at-beamery/diversity-equality-inclusion/to learn more about progress and commitments.

Location: London Workplace: OnSite ABOUT APTURA We build the evaluation datasets and RL environments that make AI reliable in domains where mistakes are expensive: finance, healthcare, and legal. Our team designs expert-curated training data, calibrated rubrics, and verifiable task environments for AI labs and startups pushing the frontier of what models can do in regulated industries. We're a small, lean, London based team that moves fast and takes the work seriously. Everyone contributes directly. Initiative is rewarded, and ownership is the default. If you want to shape how frontier AI learns to operate in the real world, we'd like to hear from you. ABOUT THE ROLE As a Member of Technical Staff on our Software Engineering team, you will build the platform that powers how Aptura operates and scales — the annotation tooling, workflow systems, quality control pipelines, and internal infrastructure that sit behind every dataset and environment we ship. Day to day, that looks like: designing expert task creation flows, building task assignment and review interfaces, writing the data pipelines that move outputs from domain experts into structured training sets, and integrating LLM-powered tooling directly into the product. Some days it's product engineering. Some days it's closer to infrastructure. The common thread is that the software you build is what lets a small team produce high-quality evaluation data at scale. You'll be the person who makes the platform real. Decide what gets built, how it gets built, and set the standard for how we build as we grow. WHAT YOU'LL DO - Build and own the core data annotation and workflow platform end to end — from task assignment and expert interfaces to quality control and dataset delivery - Design systems that support expert onboarding, task routing, review workflows, and QA at scale - Build and improve AI-integrated pipelines across the platform, including LLM-assisted annotation, automated checking, and model-in-the-loop workflows - Work directly with founders and domain operators to turn manual, bespoke processes into reliable, scalable software - Make strong product and engineering decisions in ambiguous, fast-moving situations — scoping, prioritising, and shipping without waiting for perfect specs - Help define how we build as a team: tooling choices, engineering standards, and product direction WHO WE'RE LOOKING FOR You will not be a good fit if you thrive in well-defined scopes and prefer a clear spec before moving. We are looking for people who are comfortable identifying what needs building, making a call, and shipping — often before the full picture is clear. You will not be a good fit if you like to go deep on one technical area for an extended period. We are looking for people who are energised by moving across product, infrastructure, data systems, and AI tooling — sometimes all in the same week. You will not be a good fit if you prefer to hand work off at the boundaries of your role. We are looking for people who want to own problems end to end, from the first conversation through to something live. You will not be a good fit if you aren't yet integrating AI into how you build day to day. We are looking for people who are already using LLMs and coding agents as part of how they work, and are excited to push that further. You will not be a good fit if you think of speed and quality as things you trade off against each other. We are looking for people who don't cut corners — they cut scope. We don't care about background, experience, or prestige. We want people who can demonstrate they will work hard, learn fast, and ship things that matter. Former founders, early engineers at startups, and people with infrastructure experience are a plus. NICE TO HAVE - Experience building internal tools, annotation platforms, workflow software, or operations-heavy products - Familiarity with modern product stacks: React, Next.js, TypeScript, Node.js, FastAPI, or similar - Exposure to AI products, LLM tooling, or evaluation workflows - Domain interest in finance, healthcare, or legal - Previous experience as an early or founding engineer On-site in London. Compensation (salary + equity) will be competitive.

Location: Remote in the United States Workplace: Remote We have several roles open, ranging from Senior to Staff level. The final level will be determined during the interview process. At Sanity.io http://Sanity.io, we’re building the future of AI-powered Content Operations. Our AI Content Operating System gives teams the freedom to model, create, and automate content the way their business works, accelerating digital development and supercharging content operations efficiency. Companies like SKIMS, Figma, Riot Games, Anthropic, COMPLEX, Nordstrom, and Morningbrew are using Sanity to power and automate their content operations.   You're not just demoing software — you're the technical brain behind some of Sanity's most complex enterprise deals. As a Staff Solutions Engineer, you'll own the full pre-sales journey: from first strategic engagement through architecture scoping, proof of concept, and onboarding. You'll work shoulder-to-shoulder with Sales, Marketing, Product, and Customer Engagement — and you'll be the person everyone turns to when the technical stakes are highest. Beyond the deals, you'll build the tools, frameworks, and enablement materials the wider SE team relies on. You'll mentor other Solutions Engineers, spot where processes need to improve, and help define what great looks like — at a company that just raised $85M and is moving fast. This is the role for someone who wants to be in the room where it happens: shaping product roadmap, winning major enterprise logos, and making a real dent in how the world thinks about AI content operations.   WHAT YOU WOULD DO: - Architect and lead complex demos for enterprise prospects and strategic partners that actually win deals - Own the technical narrative in any room — from C-suite boardrooms to deep-dive engineering sessions - Educate customers on Sanity's platform at an advanced level: the capabilities, the philosophy, and the strategic case for structured content at scale - Guide customers through RFPs, architecture reviews, and proof of concepts with confidence - Build and maintain showcase implementations, advanced enablement programs, and best practice guides the whole team uses - Share deep engineering expertise across complex verticals and advanced use cases — and troubleshoot when things get tricky - Represent strategic customer requirements directly to product and engineering, and influence the roadmap as a result - Mentor the broader SE team and raise the bar for technical excellence across the org ABOUT YOU: - Previous experience in enterprise solution selling, including Fortune 500 accounts and cross-functional decision-makers up to C-level - Strong coding chops — JavaScript, React, APIs, JSON, Git — with the ability to design and demonstrate working technical solutions - Exceptional communication skills: you can make a complex architecture feel obvious to an exec and a business problem feel urgent to an engineer - Proven discovery skills — you know how to lead a room, uncover real pain, and map it to a path forward - Familiarity with CMS and content operations, and a genuine curiosity about where AI fits into it - A highly solution-oriented mindset: creative, structured, autonomous, and comfortable leading without a finished playbook Not sure you’re exactly what we’re looking for in this role? Apply anyway!   WHAT WE CAN OFFER - A highly-skilled, inspiring, and supportive team - Positive, flexible, and trust-based work environment that encourages long-term professional and personal growth - A global, multi-culturally diverse group of colleagues and customers - Comprehensive health plans and perks - A healthy work-life balance that accommodates individual and family needs - Competitive salary and stock options program   WHO WE ARE: Sanity.io http://Sanity.io is a modern, flexible content operating system that replaces rigid legacy content management systems. One of our big differentiators is treating content as data so that it can be stored in a single source of truth, but seamlessly adapted and personalized for any channel without extra effort. Forward-thinking companies choose Sanity because they can create tailored content authoring experiences, customized workflows, and content models that reflect their business. Sanity recently raised a $85m Series C led by GP Bullhound and is also backed by leading investors like ICONIQ Growth, Threshold Ventures, Heavybit and Shopify, as well as founders of companies like Vercel, WPEngine, Twitter, Mux, Netlify and Heroku. This funding round has put Sanity in a strong position for accelerated growth in the coming years. You can only build a great company with a great culture. Sanity is a 300+ person company with highly committed and ambitious people. We are pioneers, we exist for our customers, we are hel ved, and we love type two fun! Read more about our values here! https://www.sanity.io/blog/our-sanity-values   Sanity.io http://Sanity.io pledges to be an organization that reflects the globally diverse audience that our product serves. We believe that in addition to hiring the best talent, a diversity of perspectives, ideas, and cultures leads to the creation of better products and services. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, or gender identity.

Location: United States; Canada Workplace: Remote At ClickUp, we're building the future of work: the first truly converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI. We are an AI-native company. Every team member is expected to leverage AI daily, and we evaluate AI fluency as part of our hiring process. Join us and help redefine what's possible. 🚀 We're looking for a Staff Analyst, GTM Revenue to help our go-to-market leaders make sharper, faster decisions across revenue-critical motions. In this role, you'll partner across Sales, Customer Success, and adjacent customer-facing teams to turn complex data into practical insight, improve how teams operate, and identify where AI and automation can create real leverage.   This is a high-impact opportunity for an analytically rigorous operator who can move comfortably between deep analysis, business partnership, and hands-on execution. You'll help leaders understand what's working, where friction is slowing growth, and how to translate data into better decisions around pipeline, segmentation, productivity, retention, and overall GTM performance.   Mission Drive clearer, faster, and more scalable GTM decision-making by turning data into actionable insight, operational improvements, and AI-enabled workflows that improve revenue performance and customer outcomes.   The Role - Partner with GTM leaders to frame business questions, prioritize high-impact analyses, and translate findings into practical recommendations. - Build and maintain dashboards, reporting layers, and analytical workflows that give stakeholders clear visibility into performance across Sales, Customer Success, and related customer-facing motions. - Analyze pipeline health, segmentation, conversion, retention, and productivity trends to identify opportunities for growth, efficiency, and better resource allocation. - Develop forecasting, scenario-planning, and decision-support models that help leaders understand performance drivers and act with confidence. - Use SQL, Python, and modern analytics tooling to extract, shape, and analyze large datasets from multiple systems. - Identify repetitive or manual workflows that can be improved through automation or AI-assisted analysis, and help bring those solutions into day-to-day GTM operations. - Collaborate cross-functionally with partners in Finance, Operations, Systems, and customer-facing teams to ensure data definitions, reporting logic, and recommendations are aligned to business needs. - Present insights in a concise, executive-ready way, tailoring the level of detail to both technical and non-technical audiences.   Qualifications - 5+ years of experience in analytics, strategy & operations, revenue operations, business intelligence, or a similar role supporting go-to-market teams. - Advanced proficiency in SQL and Python, with strong judgment around how to use each for analysis, automation, and scalable reporting. - Strong experience building dashboards, analytical models, and KPI frameworks that influence business decisions. - Demonstrated success supporting Sales, Customer Success, Revenue Operations, or comparable GTM functions in a SaaS or other fast-moving technology environment. - Strong business acumen with the ability to connect data trends to customer, commercial, and operational outcomes. - Excellent communication skills, including the ability to simplify complex analysis and influence cross-functional stakeholders. - Proven ability to work independently in ambiguous environments, manage multiple priorities, and deliver high-quality work with speed and reliability.   Desirable - Experience applying AI or machine learning to business problems such as segmentation, prioritization, forecasting support, or workflow automation. - Familiarity with modern BI and visualization tools such as Looker, Tableau, or similar platforms. - Experience working in a high-growth, multi-motion SaaS business where GTM teams need both strategic insight and operational rigor. - Comfort partnering with senior leaders on ambiguous questions that require both analytical depth and strong business judgment. Equal Opportunity Employer ClickUp is an Equal Opportunity Employer, and qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin. Privacy Notice ClickUp collects and processes personal data in accordance with applicable data protection laws. You can find further details by viewing our Global Candidate Privacy Notice. https://clickup.com/careers-terms/candidate-privacy-notice If you are a Philippine Job Applicant, please also see our Philippine Data Privacy Notice https://t333.s.clickup-attachments-stg.com/t333/d9a53ce2-6d2c-48cd-84b1-ed4e525f9613/Philippine%20Data%20Privacy%20Notice_2024.pdf?view=open for further details. Visa Sponsorship Please note we are unable to sponsor or take over sponsorship of an employment visa for roles outside of engineering and product at this time. Sponsorship for engineering and product roles is not guaranteed, but is instead based on the business needs for that specific role at that time. Please reach out to the recruiter with any questions. Fraud Alert ClickUp Talent Acquisition will only initiate contact via an @clickup.com http://clickup.com email or through our official careers portal on clickup.com http://clickup.com. We will never request fees, payments, or sensitive personal information. Please disregard any offers received outside these channels and report them to support@clickup.com. AI Processing Notice ClickUp may use artificial intelligence and machine learning technologies to help review and screen candidates' employment applications against role-related criteria. These tools support, but do not replace, human decision‑making. If you have questions or need an accommodation in the recruitment process, please contact us at AskPeople@ClickUp.com.

Location: New York City Office Workplace: Hybrid Allara https://www.allarahealth.com is a comprehensive women’s health provider that specializes in expert, longitudinal care that supports women through every life stage. Trusted by thousands of women nationwide, Allara makes expert healthcare accessible by connecting patients with multidisciplinary care teams that have a deep understanding of hormonal, metabolic, and reproductive care. Allara provides ongoing support for hormonal conditions like PCOS, chronic conditions like insulin resistance, and life stages like perimenopause, helping patients see improved health outcomes https://cdn.prod.website-files.com/637f55cdd2e0aa051d497c52/68e6aa0f8fcce5c60e922219_Outcomes%20Impact%20Report%202025%20Web%20Display.pdf. As one of the fastest-growing women’s health platforms in the U.S., Allara is bridging long-overlooked gaps in healthcare for women. The Opportunity We're looking for a Staff Software Engineer to help build the technical foundation that will scale our platform and transform women's healthcare delivery. You'll design and build resilient, event-driven distributed systems, from AI-powered health companions that help women manage their conditions to complex integrations with healthcare systems nationwide. This is an opportunity to write code that matters: shaping engineering best practices, mentoring a growing team, and directly impacting how hundreds of thousands of women access personalized care. Location: Hybrid (NYC). We value in-person collaboration and aim for at least three days per week in our NYC office, with flexibility as needed. Your Impact - Design and implement scalable distributed architectures that support personalized care delivery for a rapidly growing patient base - Own technical initiatives across the stack, from AI/ML-powered health guidance tools to EMR, billing, and scheduling integrations - Help define engineering standards, architectural patterns, and best practices that enable the team to move fast without breaking things - Mentor and grow engineers across the team, fostering a culture of technical excellence and collaborative problem-solving - Partner with product, clinical, and data teams to translate complex healthcare requirements into elegant technical solutions - Drive build vs. buy decisions, technology selection, and infrastructure investments that balance current needs with future scale Required Qualifications - 7+ years of software engineering experience, with 2+ years in a Staff or Principal role - Proven track record designing and building distributed systems at scale, with a deep understanding of system design tradeoffs - Strong full-stack capabilities with expertise in modern backend technologies (Python, TypeScript, Go, or similar) and AWS - Experience architecting systems in regulated industries (healthcare, fintech) with considerations for security, compliance, and data privacy - Demonstrated ability to mentor engineers and elevate team technical capabilities through code review, design guidance, and knowledge sharing - Excellent communication skills; able to articulate complex technical concepts to both technical and non-technical stakeholders Bonus Points - Background in healthcare technology, including EMR integrations, HL7/FHIR standards, or telehealth platforms - Experience building AI agents or Model Context Protocol (MCP) integrations - Prior experience at a high-growth startup, particularly during scaling phases (Series B–D) - Familiarity with Next.js and CQRS What Allara Offers: Compensation & Career Growth - $201,000 - $250,500 with opportunities for advancement - Equity - Professional development & employee learning programs Actual compensation will be determined based on a variety of factors, including but not limited to: candidate experience, location, education, certifications, and skill set. In addition to base salary, our total compensation package includes equity, comprehensive health benefits (medical, dental, vision), generous paid time off, and additional wellness and professional development perks. Work Environment & Flexibility - 3-day hybrid in NYC - Unlimited PTO & 11 company holidays Health & Wellness - Medical, dental, and vision benefits - Health Savings Account (HSA) & Flexible Spending Account (FSA) - Long- and short-term disability coverage - Annual employee wellness stipend Family & Future Planning - 401(k) plan - Parental leave & family planning support benefits Additional Perks - Company-issued laptop - Annual work-from-home stipend - Commuter benefits (if applicable) - A collaborative, mission-driven culture focused on improving patient care At Allara https://www.allarahealth.com/, we believe in celebrating everything that makes us human and are proud to be an equal-opportunity workplace. We embrace diversity and are committed to building a team that represents a variety of backgrounds, perspectives, and skills. We believe that the more inclusive we are, the better we can serve our members. We’re an Equal Opportunity Employer and do not discriminate against candidates or patients based on race, color, gender, sexual orientation, gender identity or expression, age, religion, disability, national origin, protected veteran status, or any other status protected by applicable federal, state, or local law.

Location: Hong Kong, Hong Kong SAR; Singapore, Singapore Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About the Opportunity As a Staff Engineer, y ou'll own the build-out of our security engineering and DevSecOps capabilities: designing and developing the security products, platform services, and SDKs/Agents that embed protection directly into how code is written, built, shipped, and run. This is a role for someone with real depth in security, broad coverage across the stack, and the engineering muscle to ship. Just as important is the ability to drive adoption — security that lands in complex, fast-moving business environments rather than sitting in a policy document. What You’ll Be Doing Architect and build our end-to-end DevSecOps platform and the SDKs/Agents behind our security products, covering code, build, artifacts, images, deployment, and runtime. Lead runtime protection through RASP and Java Agent — bytecode instrumentation, runtime hooking, and detection/interception engines using ASM, ByteBuddy, and Instrumentation, with continuous tuning for performance, stability, and compatibility. Integrate and productise scanning capabilities across SAST, DAST, IAST, SCA, code scanning, and image scanning. You'll embed tools like SonarQube and Coverity deep into CI/CD and close the loop from detection through blocking, remediation, and re-test. Go deep on application security offence and defence — designing detection, remediation, hardening, and counter-measures for XSS, SQL injection, SSRF, deserialisation, command execution, authentication/authorisation flaws, and API security. Bring AI-native security engineering to life. Apply LLMs and AI Agents to vulnerability analysis, rule generation, false-positive attribution, remediation guidance, security knowledge capture, and engineering automation — and build a coherent view of the architecture, mechanics, and security implications. Embed as the security technical expert inside engineering teams, driving security standards, onboarding specifications, release gates, risk tiering, and remediation mechanisms that measurably lift the security baseline and delivery quality. Partner across engineering, architecture, SRE, QA, and business teams on priority projects, solving the genuinely hard security problems and turning the solutions into reusable platform capability and repeatable practice. What We Look For In You Strong computer science and security fundamentals — deep understanding of operating systems, networking, compilers and the JVM, distributed systems, application security, cloud-native security, and supply chain security. Both breadth and depth. Expert-level Java, with hands-on depth in the JVM, ClassLoader, Java Agent, ASM, ByteBuddy, bytecode instrumentation, and performance profiling and tuning. Plus working proficiency in Python or Go. Substantial production experience with RASP, SAST, DAST, IAST, SCA, image security, and code scanning — enough to design a capability, integrate the engine, build the platform around it, and take it to scale independently. Real offensive and defensive experience. You understand the root causes, exploitation paths, detection logic, bypass techniques, and fixes for common web, API, and microservices vulnerabilities — and can design from both the attacker's and defender's point of view. Fluency with LLMs and AI Agents, including a considered view on model capability limits, agent architecture, tool calling, context engineering, evaluation methods, and how AI is reshaping both security engineering and the attack surface. Strong engineering execution paired with product instinct — able to lead the design and delivery of security products, platform modules, and SDKs/Agents while balancing security outcomes against performance overhead, integration cost, and long-term operability. Exceptional ownership, cross-team communication, and the persistence to move security governance, rule enforcement, and remediation through to a clear result. Nice to Haves Security engineering experience at a top-tier internet company, cloud provider, or leading security vendor You've led the build of a DevSecOps platform, application security platform, RASP, code scanning platform, or cloud-native security platform Background in security product development, SDK/Agent engineering, vulnerability research, red team exercises, or purple team work Shipped AI + Security work — security copilots, intelligent rule generation, automated analysis, or remediation recommendation systems Perks & Benefits Competitive total compensation package L&D programs and Education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: Remote - British Columbia, Canada Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . Reddit’s Ads Data Science team is looking for a highly experienced Staff Data Scientist to advance the intelligence powering the advertiser experience on Reddit. In this role, you'll take deep ownership of a high-impact problem space within advertising, specializing in measurement, identity, and signal quality. This is a high-impact, high-autonomy role where you'll influence strategic direction, set a high technical bar, and drive cross-functional initiatives across one or more critical focus areas in the Ads organization. Responsibilities: Design the Future of Ads Identity: Develop/employ probabilistic models for identity resolution. Design the methodology that links on-platform and off-platform actions to maximize addressability while honoring privacy. Advance Lift Methodologies & Experimentation: Own the statistical rigor behind Reddit’s Brand and Conversion Lift products. Innovate experimental design and develop infrastructure that supports large-scale, high-velocity, low-bias testing for advertisers. Maximize Signal for Predictive Performance: Define the strategy for new signal sources. You will mathematically quantify the value of these signals and work with modeling teams to incorporate them into predictive models, directly improving bidding efficiency and ROAS. Define Ground Truth & Evaluation Frameworks: Solve the industry-wide challenge of validating identity and measurement. Design the objective functions and truth sets used to train our models and measure the incremental impact of our identity graph. Lead Through Cross-Functional and Technical Influence: Collaborate deeply with engineering, product, and sales to align on strategic goals, translate insights into action, and drive execution. Set a high technical bar by mentoring others and championing best practices across modeling, experimentation, and measurement. Qualifications: Required: Advanced degree (Master's or Ph.D.) in Statistics, Mathematics, Physics, Economics, or Operations Research For M.S. holders: 10+ years of industry experience in applied science or data science roles For Ph.D. holders: 6+ years of industry experience in applied science or data science roles Deep understanding of the ads ecosystem Demonstrated expertise in at least one of the following areas: Measurement & Experimentation at Scale (with focus on lift and attribution) Identity Graph Creation & Resolution Methodology and Infrastructure Predictive Modeling with Signal Loss Advanced proficiency in statistical programming (Python or R) and SQL. Experience with machine learning or optimization techniques Strong understanding of experimental design, causal inference, or A/B testing methodologies Exceptional problem-solving and communication skills, with a track record of influencing product and engineering partners Experience working in fast-paced, ambiguous environments with cross-functional teams Benefits: Comprehensive Healthcare Benefits and Income Replacement Programs 401k with Employer Match Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support Family Planning Support Gender-Affirming Care Mental Health & Coaching Benefits Flexible Vacation & Paid Volunteer Time Off Generous Paid Parental Leave #LI-Remote In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable.  We will not sell your personal information or disclose it to any third party for their marketing purposes.  We will delete any recording of your interview promptly after making a hiring decision.  For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors . Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve.  Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

Location: United Kingdom, London Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Role Description: We are looking for an independent, dedicated Staff Machine Learning Engineer to join the Visual Computing Group (VCG) and contribute to redefining the world of game play and live streaming via advanced R&D. VCG’s mission is to design and deploy advanced neural networks and machine learning (ML) for game rendering and streaming systems of SIE that exceed the state-of-the-art in runtime efficiency, visual quality and latency. What you’ll be doing: Develop and improve core generative models for graphics and video processing for a variety of applications, such as live video streaming, game rendering, etc. Research and prototyping of new methods for graphics or video enhancement, and data generation pipelines from generative models Collaborate with team members on drafting publications and patent submissions Participate and assist the team in core R&D work with other teams within Sony Interactive Entertainment What we’re looking for: PhD or MSc in Computer Science, Electronic Engineering, Artificial Intelligence, Machine Learning, Computer Graphics or a related field, or equivalent skills evidenced by work experience in the specific domain of the post 7+ years of experience in demonstrable research experience in industry or academia Strong background in: TensorFlow or PyTorch; Python and packages/libraries related to computer vision or graphics; evidenced by the development of advanced applications in image/video/graphics processing or computer vision (minimum 7 years), Evidence of leading technical developments by several publications in top-tier conferences like CVPR, ECCV, ICCV, SIGGRAPH or similar Solid background in one or more of the following: (i) neural network architectures, evidenced (for example) by knowledge of how to formulate and test advanced loss functions in neural network design; (ii) design and test of advanced convolutional, recurrent, transformer-based, diffusion-based or other neural network architectures in a task-specific manner; (iii) some experience in training, validation and evaluation of deep neural network models on large datasets, evidenced by experience in using Python libraries like HDF5 or similar Desired qualifications: Publications, e.g. in top-tier conferences and journals: IEEE Transactions on Image Processing, IEEE Transactions on Circuits and Systems for Video Technology, conferences like IEEE CVPR/ICCV/ECCV, NeurIPS, ICML, ICLR, or similar Some theoretical understanding of the graphics pipeline, including coordinate transformations between frames of reference, PBR materials, rasterization, lighting, and ray tracing Experience in image processing theory and methods, evidenced by the development of practical designs in this area Some experience with 3D engines such as Unreal or Unity; in particular, generation of datasets, extraction of G-buffers, motion vectors, etc. Benefits: Discretionary bonus opportunity Hybrid Working (within Flexmodes) Private Medical Insurance Dental Scheme 25 days holiday per year On Site Gym Subsidised Café Free soft drinks On site bar Access to cycle garage and showers Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice (where applicable) for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Location: Bengaluru, Karnataka, India, APAC From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. ​ During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About the Role We’re looking for a Staff Software Engineer to join the Platform Ops team (Platform Engineering) and lead initiatives that enable developer productivity by building and improving developer tooling and environments, and by improving other productivity tools around observability. Our team builds the shared systems and workflows engineers rely on every day—internal developer environments and self-serve tooling that makes the recommended way to ship changes the easiest way. This is a platform tooling role with a focus is on reusable capabilities and self-service workflows adopted across teams. You’ll also help develop AI-based workflows for productivity and efficiency, including automation that improves infrastructure operations (for example, faster triage, automated runbook steps, and better self-service for common issues). You’ll prioritize the highest-impact problems by looking at where time is being lost today (slow builds, flaky tests, manual release steps, repetitive operational work) and turning that into concrete projects. You’ll set clear success metrics up front and use them to guide design decisions and rollouts. Expect to partner closely with engineering teams to drive adoption, document changes, and iterate based on feedback. You’ll drive cross-team work across internal tooling, developer environments, observability, and reliability, focusing on measurable improvements (for example: shorter lead time, fewer incidents, and faster recovery). You’ll add automation and enable developer workflows across all three major cloud environments (AWS, Azure, and GCP). As a staff engineer on the team, you’ll lead medium-to-large initiatives end-to-end: define the problem with stakeholders, write a design and rollout plan, build and operate the solution in Python/Go, and measure results. You’ll work across Platform Engineering, Release Engineering, Security, and product engineering teams to make improvements that are adopted broadly and remain reliable over time. What You’ll Do Lead end-to-end projects that improve developer tooling, environments, and operational workflows (speed, reliability, and safety) Design and operate internal tooling/services in Python and/or Go Build tooling for our internal developer platform (self-service workflows, shared patterns, developer-facing interfaces) Add automation and enable developer workflows across all three major cloud environments (AWS, Azure, and GCP) Develop AI-based workflows that improve developer experience and reduce repetitive manual work, including efficiency gains in infrastructure operations Improve developer feedback loops through better observability (metrics/logs/traces), making failures easier to diagnose Design/build and document “paved paths” and self-service capabilities so teams can ship without extensive platform expertise Improve reliability through automation and observability (metrics/logs/traces), and drive incident follow-ups to reduce recurrence Set technical direction (design docs, tradeoffs, sequencing) and drive delivery across stakeholders Mentor engineers through design and code reviews Skills We’re Looking For : Strong experience building and operating production services in Python and/or Go Experience with at least one cloud provider ( AWS , Azure , or GCP ) and core primitives (IAM, networking, compute) Experience building developer productivity tooling (CI systems, build tooling, developer portals, workflow automation) Track record leading ambiguous, cross-team technical projects to completion Strong communication and engineering judgment You'll have an edge if you have : Kubernetes/platform abstractions experience Infrastructure-as-code (Terraform/OpenTofu), including reusable modules, safe state practices, and modernization of shared platform foundations Experience building internal developer platforms (IDPs) / developer portals / self-service tooling #LI-HYBRID #LI-JI1 Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.