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Location: Remote, Bay Area, CA; Remote, San Francisco, CA; Remote, AMER Workplace: Remote MEMBER OF TECHNICAL STAFF Location - San Francisco Bay Area (required) ABOUT SUPABASE Supabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. All services are deeply integrated and designed for growth. Start in minutes with a fully managed, scalable Postgres database and a suite of tools that eliminate the complexity of backend development. Use one or use all—Supabase gives teams the flexibility of open source with the speed and simplicity of a modern platform, so they can move fast without sacrificing control. ABOUT THE ROLE We’re hiring a Member of Technical Staff to work with leading AI labs in San Francisco. We’re looking for someone with a background as a Strategic Solutions Architect or Engineer. You’re a technical subject-matter expert who can build relationships with Product and Engineering stakeholders and navigate a large AI lab. You’ll lead relationships with top AI labs and serve as Supabase’s quarterback, driving the following engagement model: 1. Account Mapping and Relationship Building - Identify the key relationships Supabase needs to build across Product, Engineering, and Developer Relations teams at AI labs. 2. Lunch and Learns/Tech Talks/Technical Enablement - Lead onsite tech talks, lunch and learns, and technical enablement sessions to educate AI labs about Supabase and its roadmap. 3. Co-build (product integration): Build integrations and joint solutions in collaboration with Supabase’s Engineering, Product, and Design (EPD) organization. 4. Developer Relations (DevRel): Work with AI labs to create content—including blogs, docs, videos, and live streams—and run in-person community events and hackathons. 5. Quarterly Technical Reviews: Lead quarterly reviews with each lab to discuss highlights, adoption metrics, what’s working and what isn’t, key product initiatives, and alignment with technical resources. As the Quarterback for the AI labs end-to-end — you’ll work from technical scoping and launch through post-launch growth — working closely with Product, Engineering, Marketing, Sales, Customer Success, and Data to ensure Supabase drives real business outcomes with top AI labs This is a high-visibility senior IC role with direct impact on product adoption and ecosystem expansion. - This is a build and scale member of technical staff role. - You’ll be expected to operate with a lot of ownership and little process at the start. - If you enjoy writing the playbook and running it in-market, this role will be a good fit. WHAT WE’RE LOOKING FOR - 8+ years of experience in technical roles as a Strategic Solutions Architect, Forward Deployed Engineer or Product Management - Strong understanding of developer ecosystems and modern data / infra stacks - Demonstrated experience shipping integrations and growing them post-launch - Experience using AI and vibe coding tools in conjunction with Supabase - Clear, concise communicator who can align Product, Engineering, Sales, Marketing, and Customer Success teams - Highly organized operator who can build programs from scratch and iterate quickly - Comfortable operating in ambiguity in a fast-moving, open-source-first environment - Data-driven and outcome-oriented - Startup experience is a plus WHAT WE OFFER - Fully Remote We hire globally. We believe you can do your best work from anywhere. There are no Supabase offices, but we provide a WeWork membership or co-working allowance you can use anywhere in the world. - ESOP Every team member receives ESOP (equity ownership) in the company. We want everyone to share in the upside of what we’re building together. - Tech Allowance Use this budget to set up your ideal work environment—laptop, monitor, headphones, or whatever helps you do your best work. - Health Benefits Supabase covers 100% of health insurance for employees and 80% for dependents, wherever you are. Your wellbeing and your family’s health are important to us. - Annual Off-Sites Once a year, the entire company gathers in a new city for a week of connection, collaboration, and fun. It’s a highlight of our year. - Flexible Work We operate asynchronously and trust you to manage your own time. You know what needs to be done and when. - Professional Development Every team member receives an annual education allowance to spend on learning—courses, books, conferences, or anything that supports your growth. ABOUT THE TEAM Supabase was born-remote and open-source-first. We believe our globally distributed team is our secret weapon in building tools developers love. - ~400 team members - 60+ countries - 20+ languages spoken - Over $1B raised (including our $500M Series F) - 540,000+ community members We move fast, build in public, and use what we ship. If it’s in your project, we probably use it in ours too. We believe deeply in the open-source ecosystem and strive to support—not replace—existing tools and communities.

Location: Montréal We take play seriously. We’re looking for curious adventurers ready to find their party, fueled by imagination and drive to build what’s never been built before. At Hasbro and Wizards of the Coast, you’ll collaborate with passionate teams to reimagine our iconic brands and create experiences that spark joy, connection, and community through the magic of play. This is your chance to shape legendary play that lasts a lifetime. Step Into the Multiverse: Your Next Adventure Starts Here At Wizards of the Coast , we harness the power of imagination and connection to create unforgettable experiences. We create entertainment that inspires creativity, sparks passion, forges friendships, and fosters communities around the globe. In every pursuit our mission is to inspire a lifetime love of games. Whether it's through the strategic depth of Magic: The Gathering® , the rich storytelling of Dungeons & Dragons® , or our AAA digital game studios, we build worlds that bring people together, spark creativity, and fuel adventure. As we continue to grow and explore new realms, we're seeking passionate, curious, and innovative minds to join the adventur e. Skeleton Key is headquartered in Austin, TX, and we’re building out a new, growing studio in Montreal, QC. We’re looking for a passionate and dedicated Principal Cinematic Animator to join the Montreal team and help bring our first AAA game to life. Reporting to the Animation Director, you will be a key contributor as we enter pre-production, focused on creating high-quality cinematic animation that integrates seamlessly with gameplay. This role focuses on interactive cinematic moments, working closely with cinematics, design, and engineering teams to deliver compelling narrative experiences both systemically and through bespoke content. What you'll do: Create high-quality cinematic animation using both motion capture and keyframe animation techniques. Collaborate with the Cinematic Director to define staging, camera work, and shot composition for cinematic sequences. Previsualize cinematic sequences to support motion capture shoots. Clean up and polish motion capture performances to a high level of fidelity. Refine facial animation, including expressions, eyelines, and hand-keyed acting beats. Craft interactive cinematic moments in collaboration with the Design team. Contribute to building and maintaining an animation library for systemic narrative content. Support implementation, maintenance, and debugging of cinematic animation systems, and help improve related pipelines and tools. What you'll bring to the team: 5+ years of professional experience in cinematic animation for games or film. Strong understanding of cinematic principles, including pacing, camera movement, shot selection, and character performance. High-level experience cleaning and polishing performance capture data. Excellent keyframe animation skills. Experience working with tools such as Unreal Engine, Maya, MotionBuilder, or comparable software. Ability to work independently and manage tasks with minimal oversight. Strong collaboration skills and the ability to work effectively across disciplines. Passion for games, storytelling, and cinematic animation. Nice to have: Experience using Unreal Engine Sequencer. Experience authoring cinematics for video games. Familiarity with rigging, skinning, or other technical animation workflows. Experience with 3D cinematography and camera work. Experience working with actors in motion capture or performance capture environments. At Wizards, we believe in the magic of diversity—great ideas come from unique perspectives. We are committed to building an inclusive, welcoming workplace where everyone belongs. Wizards is an equal opportunity employer and does not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, or any other legally protected status. Wizards will provide reasonable accommodations with the application process, upon your request, as required to comply with applicable laws. If you have a disability and require assistance in this application process, please contact your recruiter or coordinator. Employees may be eligible for annual and long-term incentives as part of their overall compensation package, depending on role, location, and eligibility. Benefits and programs may include: Health & Wellness Time Off to Recharge Financial Well-being Life & Family Support Volunteer and Community Initiatives Learning & Development Exclusive Perks Please review our Applicant Privacy Notice to learn how we collect, use, and protect your personal information in connection with the application process.

Location: New York, New York, United States About the Role iCapital is looking for a Software Developer in Test to join the Quality Assurance team. The ideal candidate brings practical knowledge of agile development methodologies and engineering best practices. As a Software Developer in Test (SDET), this role will work closely with the Development and Testing team. This individual will serve as a hands-on test engineer with managerial experience, capable of understanding, enhancing, and implementing existing automation test frameworks. This role will also collaborate closely with other engineers and product managers to support feature‑based testing. Responsibilities Build and implement robust automated test suites. Integrate automated test suites with current build and deployment processes. Maintain automated tests to reflect updates in system design and architecture. Implement the automation framework with existing tools (JIRA). Create, Manage, and Utilize Defect workflows with automated test execution. Design and publish meaningful metrics to support automation test creation and Perform all types of testing such as functional, API, automation, performance and load. Qualifications 8+ years of experience with QA engineering delivery experience 4+ years of delivery within Agile SDLC teams ideally with CICD Programming experience in Java with focus on behavior driven development (BDD) and test-driven development (TDD) and design patterns, ideally within continuous integration (CICD) Experience with Java microservices and REST APIs and exposure to React front end Knowledge of Java, JavaScript, and SQL Proficient in CI/CD technologies such as Maven, Sonar, Git, TeamCity/Jenkins, and Docker AI Integration experience is preferred Exposure to banking or finance environments is preferred Prior experience testing ETL processes is preferred Hands-on experience with testing tools including JUnit, RestAssured, Playwright, Protractor, and JMeter Benefits The base salary range for this role is $120,000 to $160,000. iCapital offers a compensation package which includes salary, equity for all full-time employees, and an annual performance bonus. Employees also receive a comprehensive benefits package that includes an employer matched retirement plan, generously subsidized healthcare with 100% employer paid dental, vision, telemedicine, and virtual mental health counseling, parental leave, and unlimited paid time off (PTO). We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office Monday-Thursday, with the flexibility to work remotely on Friday. For additional information on iCapital, please visit https://www.icapitalnetwork.com/about-us Twitter: @icapitalnetwork | LinkedIn: https://www.linkedin.com/company/icapital-network-inc | Awards Disclaimer: https://www.icapitalnetwork.com/about-us/recognition/ iCapital is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

Location: San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role Anthropic manages one of the industry's largest AI fleets — spanning multiple accelerator families, cpu families and clouds. The Capacity Engineering team is responsible for making sure all our infrastructure resources are accounted for, well-utilized, and efficiently allocated. We own the data, tooling, and operational systems that let Anthropic plan, measure, and maximize utilization across first-party and third-party compute. As an engineer on Capacity Engineering, you will build the production systems that power this work: data pipelines that ingest and normalize telemetry from heterogeneous cloud environments, observability tooling that gives the org real-time visibility into fleet health, and performance instrumentation that measures how efficiently every major workload uses the hardware it’s running on. You will be expected to write production-quality code every day, operate alongside Kubernetes-native infrastructure at meaningful scale, and directly influence decisions around Capacity. You’ll collaborate closely with research engineering, infrastructure, inference, and finance teams. The work requires someone who can move between data engineering, systems engineering, and observability with comfort — and who thrives in a high-autonomy, high-ambiguity environment. This is a pipeline role feeding four areas. Depending on your background and business priority, you’ll focus primarily in one, but the boundaries are fluid and the problems overlap: Data platform Pipelines that ingest occupancy and utilization telemetry from Kubernetes clusters, normalize billing and usage across cloud providers, and serve the BigQuery tables the rest of the org queries against. Correctness, completeness, and latency are the job, not a footnote. Consumers range from research engineers to finance to leadership, so it's product work as much as engineering: defining schema contracts, making data discoverable, and figuring out what people actually need. Planning Knowing what the fleet has, where it's going, and what's in the way. Making the state of the fleet legible and actionable in real time: cluster health tooling, capacity planning platforms, alerting on occupancy drops and allocation problems, and systemic fixes to scheduling and fragmentation. Kubernetes operations on one side, cross-team coordination on the other. Efficiency Measuring and improving how effectively every major workload uses the hardware it runs on. Instrumenting utilization across training, inference, and eval systems, building benchmarking infrastructure, establishing per-config baselines, and working directly with system-owning teams to close the gaps. The metric has to be good enough that the team on the hook for it agrees with the number. Attribution and forecasting Connecting what the fleet costs to what the business is doing with it. Reconciling CSP billing exports against vendor telemetry and internal systems with mismatched schemas, attributing spend to the workloads and teams that generate it, and turning inference demand signals and research roadmaps into a defensible compute plan. Efficiency metrics have to survive contact with finance: stripped of pure demand and unit-price effects, reproducible month over month, and legible to a CFO. Key responsibilities Build the planning and allocation stack — the tools leadership uses to allocate capacity, teams use to plan against their allocations, and the scheduler enforces. Cross-region and cross-provider placement, guardrails, queueing, occupancy KPIs. Drive the efficiency programs: stranding and rightsizing, unused capacity recovery, and job-level utilization across training, inference, and eval. Establish per-config baselines and work with system-owning teams to close the gaps. Directly influence decisions around a significant area of company investment. Own attribution and forecasting — reconcile billing across ten-plus providers against telemetry and internal systems, attribute spend to the workloads that generate it, and turn demand signals and research roadmaps into a defensible compute plan and supply pipeline. Build the data platform underneath all of it: pipelines ingesting occupancy, utilization, and cost from a rapidly diversifying fleet into BigQuery, with real ownership of completeness, latency SLOs, and gap detection. Every new provider is a net-new integration. Operate Kubernetes-native systems at scale — collection agents, workload labeling, and the taint/reservation/scheduling behavior that determines what capacity is actually usable. Treat the output as a product, not a pipeline. Gather your own requirements, define schema contracts, and design for consumers ranging from research engineers to a CFO — including on-call and SLOs, because these surfaces are load-bearing for the company. What you bring A strong track record building and operating production systems. This is a hands-on engineering role with a devops flavor. Python and SQL at production quality. Most pipeline code is Python; the presentation layer is BigQuery SQL, including table-valued functions and views. Both need to be idiomatic, well-tested, and maintainable. Deep experience with at least one major cloud provider (Amazon Web Services, Google Cloud, or Microsoft Azure) and its operations Experience with observability tooling stack, including Prometheus, PromQL, and Grafana, including writing recording rules and building monitoring that engineering teams rely on. Ability to gather your own requirements and work across organizational boundaries in an ambiguous environment with limited direction. Preferred qualifications Experience with capacity planning, resource management, or cost attribution systems at a hyperscaler or in a large-scale machine learning environment. Time spent in product engineering and developer experience absolutely counts here. Scheduling and packing efficiency experience, or profiling-driven optimization of large distributed workloads. Multi-cloud data ingestion experience, especially normalizing billing exports, reservation APIs, on-demand capacity reservations, commitments, and vendor telemetry from providers with different billing arrangements. Total cost of ownership and forecasting experience, including decomposing whether infrastructure growth is causal or correlated with business drivers. Accelerator infrastructure familiarity. GPU metrics (DCGM), TPU utilization, Trainium power and utilization metrics, or experience with machine learning training and inference systems at the hardware level. Experience building internal data products with self-service access, schema contracts, API serving, documentation, and discoverability. Not just pipelines, but thinking about how the data gets consumed. Storage efficiency, retention, and lifecycle program experience at very large scale. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Hong Kong, Hong Kong SAR OKX will be prioritising applicants who have a current right to work in Hong Kong, and do not require OKX's sponsorship of a visa. 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 Team Own OKX's in-app messaging end to end — from a fully in-house IM engine to a messaging platform powering community chat, payments, VIP service, and user-to-agent (AI) chat for millions. The more senior you are, the more you set the technical direction others build on. What You'll Be Doing Build our multi-platform unified IM SDK — unify the logic core across platforms and push performance and stability as a lever for growth. Platformize the engine — turn it into a platform that product teams build business scenarios on (community chat, payments, VIP service). Build user-to-agent (AI) chat — the conversational AI surface on top of IM, from real-time delivery to the agent interaction experience. Own delivery end-to-end — real-time WebSocket long-connection and offline push across overseas + China vendor channels — so messages reach users whether the app is open or not. Push latency, reliability, and battery/memory to their limits under real production and weak-network conditions. Build our AI-native engineering practice — design automated development workflows and harness systems (agents, evals, guardrails, CI integration) that let AI do real engineering work, while safeguarding delivery quality and efficiency. Raise the bar through design and code review, and by making the engineers around you better. At the Staff level: set technical direction beyond your own area and drive cross-team decisions that shape the IM platform. What We Look For In You Deep, hands-on experience building native iOS and/or Android — you understand the platform, not just a framework on top of it. Experience with a cross-platform / shared business-logic layer . We build ours in Rust + UniFFI ; direct Rust-on-mobile experience is a strong plus, but experience with any shared-logic approach — KMP, Flutter, or React Native — transfers well and is valued. Fluent in at least one of: Swift / Kotlin / Rust / Objective-C / Java / JavaScript , with strong CS fundamentals. Architecture experience with large-scale mobile apps — you've applied maintainable design patterns and own solutions from requirements through to production. Depth in at least one layer of the messaging stack, and the ability to work across both — whether your strength is chat/feature-level UX or real-time / networking internals: WebSocket / long-connection, and/or offline push delivery across overseas + China channels (APNs, FCM, and China vendor push). Bonus if you have the depth to reason about a messaging engine from the ground up, not just consume one. Strong mobile performance chops (memory, battery, concurrency, weak-network). You apply AI deeply in your own engineering — not just code generation . You've built, or are driven to build, automated development workflows and harnesses that make delivery both faster and more reliable. Solid grasp of LLM fundamentals, prompt engineering, RAG, and agent concepts, with hands-on experience taking an AI pipeline from scratch to shipped — and you're excited to build user-facing conversational / agent-chat experiences too. Comfortable with ambiguity and high scale — you've debugged problems that only appear under real production load. Signals we value: you naturally raise the standard of teams you join , mentor without being asked, and can grow into a technical anchor for the group. Nice-To-Haves Built or maintained an IM / chat product, or an SDK consumed by other teams . Experience with mini-program or dynamic/hot-update frameworks . Crypto trading / Web3 experience. 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! Please note that Hong Kong is a group-level service hub, and OKX does not carry on a business of operating a virtual asset trading platform in Hong Kong. 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: United States - Remote; Chicago, IL; Texas - Remote; Boston, MA; Florida - Remote; Minneapolis, MN; Michigan - Remote; Canada - Remote Workplace: remote About the Role The Azul Sales Engineer is a hands-on, deeply technical pre-sales leader responsible for delivering the technical win across opportunities within their territory. Azul sells to the most demanding Java estates in the world — enterprises running mission-critical, high-throughput, latency-sensitive applications on the JVM — so this role demands genuine engineering depth, not just presentation polish. A Sales Engineer earns credibility with engineers, architects, and executives alike by getting hands on: running technical evaluations in the customer’s own environment, tuning the JVM, interpreting GC and performance data, and translating measurable technical outcomes into clear business value. Beyond individual deals, the Sales Engineer uses their experience to mentor and uplevel the broader SE team. What You'll Do (aka Responsibilities) Own the technical win. Drive pre-sales engagements end to end — discovery of the prospect’s business and technical challenges, mapping Azul portfolio capabilities to those challenges, and validating the solution through demonstration and hands-on proof. Lead hands-on pilots. Design, scope, and personally execute product pilots and proofs-of-concept inside the customer’s existing environment: installing and configuring the JVM, running representative workloads, and capturing empirical results the customer trusts. Prove performance. Plan and run performance-focused engagements: establish benchmarks and success criteria, measure latency, throughput, GC pause behavior and resource efficiency, analyze GC and JIT logs, tune JVM settings, and quantify the improvement Azul delivers against the incumbent. Win at enterprise scale. Navigate complex, multi-stakeholder enterprise engagements (large production estates, strict SLAs, security and compliance review, and long procurement cycles) coordinating technical validation across many teams and environments. Present at every altitude. Deliver presentations and demos across all technical levels, from CxOs to hands-on developers, to “make the complex simple” and communicate Azul’s value to each audience. Respond to technical requirements. Understand and respond to solicited and unsolicited proposals (RFI/RFP) by aligning Azul capabilities against detailed technical and business requirements. Orchestrate the extended team. Engage Product Management, Engineering, and the CTO office as needed to remove technical blockers and secure the win. Partner on territory strategy. Work alongside your Account Executive(s) on territory planning: pipeline generation, growing existing accounts, and enabling partners. Grow and retain customers. Nurture existing clients to promote customer success and to create new upsell and cross-sell opportunities. Evangelize. Present at conferences, workshops, and roadshows to raise awareness of the Azul portfolio and build funnel. Mentor the team. Provide expert assistance to other SEs on pilot planning and execution, run training sessions, and serve as a primary mentor to onboarding SEs. Be a trusted advisor. Advise your manager on product, territory, and team matters. Technical Competencies These are the core technical strengths that define a successful Sales Engineer at Azul: Java & the JVM. Deep, hands-on knowledge of Java internals and the JVM: class loading, JIT compilation, memory model, and garbage collection. Able to read and reason about GC logs and runtime behavior, not just describe them. Performance engineering. Practical experience benchmarking, profiling, and tuning JVM-based applications for latency, throughput, and scale; comfortable diagnosing GC pauses, warm-up, jitter, and resource-efficiency issues in production-like conditions. Hands-on aptitude. Confident on the command line and in customer environments: installing, configuring, and troubleshooting runtimes; able to build and run a POC independently. Enterprise application stacks. Solid understanding of Java-based applications and frameworks that run on or alongside Azul products (e.g., Cassandra, Kafka, Solr, Spring). Cloud & containers. Working knowledge of cloud platforms (e.g., AWS, Azure, GCP) and container/orchestration technologies (e.g., Docker, Kubernetes). Portfolio SME. Demonstrate SME-level depth and breadth across the entire Azul product suite, and continuously grow technical acumen through enablement, hands-on experimentation, and self-study. What You'll Bring Qualifications 5+ years in a Sales Engineering / pre-sales role supporting enterprise software, ideally in the Java, middleware, performance, or infrastructure space. 3+ years of hands-on Java development or testing experience with a demonstrable command of Java architecture. Proven track record of hands-on pilots and POCs and of performance-related engagements where you measured and demonstrated technical results in a customer environment. Experience selling into large enterprises — complex, multi-stakeholder, mission-critical production environments. Bachelor’s degree (or equivalent) in Software Engineering, Computer Science, or a related IT discipline; a master’s or higher in an IT or business discipline is a plus. Working knowledge of cloud and container technologies (e.g., AWS, Docker/Kubernetes). Solid knowledge of sales process and CRM (MEDDICC and Salesforce preferred). Willing and able to travel up to 30%. Fluent in your territory’s primary language, with strong professional English. Skills & Attributes Strong oral and written communication, effective one-on-one and in front of large groups. Proven critical-thinking and problem-solving skills; able to solve complex technical challenges with minimal supervision. Highly organized, detail-oriented, with excellent time management. Highly professional and ethical. Thrives in a fast-paced environment and can multitask across client challenges, meetings, and team needs, occasionally outside normal business hours. Collaborates across disciplines, with the EQ to understand multiple perspectives toward a common goal. A proven winning record. #LI-MD1 What we Offer ·         Comprehensive compensation and healthcare packages ·         Referral Program ·         Work-life balance, remote-first, paid time off, company shutdown, holidays ·         Work with top experts worldwide whom contribute to the Java ecosystem   Our Culture & Values   ·         Maniacal Customer Focus ·         Innovation & Excellence ·         Initiative & Courage ·         Impact & Influence ·         Integrity & Transparency ·         Diversity, Inclusion & Teamwork   Azul participates in E-Verify. As a US employer, Azul Systems, Inc. uses E-Verify to confirm the employment eligibility of all newly hired employees working in the United States. For more information about E-Verify, please visit www.e-verify.gov.   Employment at Azul is contingent upon the completion of reference and background checks. We offer a comprehensive compensation and benefits package where you’ll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job $150,000-$175,000.  This job is also eligible for commission/variable pay.  Individual base salaries are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our benefit package includes medical and dental coverage, equity participation plan, 401(k) plan, and a wide range of paid time off options.

Location: Belfast, Northern Ireland, Remote Workplace: remote Olo is a leading SaaS platform accelerating digital transformation in the restaurant industry, by helping customers deliver more personalised and profitable guest experiences. As a result, our digital ordering, payment, loyalty and guest engagement solutions enable brands to do more with less and make every guest feel like a regular. While our roots are in NYC, we’re intentionally investing in Belfast and Northern Ireland as a key hub, with an established leadership presence, a local team, and community for the long term. This role is fully remote, offering you flexibility to work from anywhere within NI. Your new role In this role, you’ll join as a Software Engineer on the ‘Core’ team, which is part of the wider ‘Order Engineering’ group. The Core team owns key parts of Olo’s platform, including baskets, orders, checkout, promotions, capacity management, and the services that power ordering experiences at scale. We build and maintain the APIs, services, and tools that brands and partners rely on to create reliable, flexible, and high-performing digital ordering experiences. As a Software Engineer on this growing team, you’ll play a key role in shaping the future of these systems. You’ll help guide technical decisions, improve platform reliability and scalability, contribute hands-on code, and mentor other engineers. This is an opportunity to have meaningful influence across a broad and business-critical area of the platform while helping evolve the architecture for the next stage of growth. On a management level, the team is led by a dedicated Engineering Manager who is based in Northern Ireland. How you’ll make an impact Develop an understanding of the ‘Core’ team's domain and technology stack and actively seek guidance to grow technical expertise. Handle small-to-medium features with support from more senior engineers, ensuring tasks are completed according to set timelines. Write code adhering to established coding standards and participate in code reviews to learn best practices. Collaborate with team members to understand feature requirements and implement solutions with guidance. Focus on building reliable and maintainable software components, contributing to team deliverables with a focus on quality. Utilise version control systems to manage code changes and maintain a consistent development workflow. Participate in team meetings and sprint ceremonies, such as daily stand-ups and sprint retrospectives, contributing updates and feedback. Engage in learning activities, including game days and training sessions, to build familiarity with the company's tools and processes. Troubleshoot and debug issues with guidance, learning to identify and resolve common software bugs. Demonstrate a willingness to collaborate with other engineers and stakeholders, developing teamwork skills necessary for larger projects. Demonstrate ownership of the team's delivery pipeline, ensuring that code quality, testing standards, and deployment practices are continuously optimised. Use Claude Code and GitHub Copilot extensively as part of your daily workflow, and grow your skills through hands-on AI training designed to help you become highly effective with modern AI coding agents and IDEs. Active participation in on-call duties is required, with specific responsibilities determined by your assigned team and area of expertise. What will set you up for success Bachelor’s Degree in Computer Science, Software Engineering, or a related field, or equivalent practical experience. At least 1.5 years of experience in a software engineering role. Programming Skills: Proficient in C#/.Net and familiar with basic programming constructs and design patterns. Version Control Systems: Basic understanding of version control tools (e.g., GitHub) and how to use them for source code management. Unit Testing: Familiarity with writing unit tests to validate small software components and test-driven development frameworks (e.g., NUnit, Jest). Distributed Systems Fundamentals: Basic understanding of how distributed systems work, focusing on building reliable components. Collaboration Tools: Experience using collaboration platforms for development, such as Jira, Confluence, and GitHub. About Olo   Olo is a leading restaurant technology provider with ordering, payment, and guest engagement solutions that help brands increase orders, streamline operations, and improve the guest experience. Each day, Olo processes millions of orders on its open SaaS platform, gathering the right data from each touchpoint into a single source—so restaurants can better understand and better serve every guest on every channel, every time. Over 800 restaurant brands trust Olo and its network of more than 400 integration partners to innovate on behalf of the restaurant community, accelerating technology’s positive impact and creating a world where every restaurant guest feels like a regular. Learn more at olo.com. Applicant Privacy Notice (United Kingdom)

Location: Singapore, Singapore OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX's sponsorship of a visa. 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 Our Singapore TA team is looking to welcome a new team member to partner directly with senior business leaders on mid to senior-level hiring across APAC. These are complex, high-stakes searches where your judgment has real organisational impact. It's a high-ownership role in a small team, your work is visible, and there's a genuine path to deepen your craft and take on more over time. We're also actively investing in AI tools and new ways of working, so if you're curious about where the profession is heading and want to help shape it, this is the perfect place to do that. What You’ll Be Doing Advise hiring managers and stakeholders as a subject matter expert on the APAC talent market Drive direct sourcing and headhunting efforts, owning requisitions from brief to close Build and execute innovative talent attraction and pipeline development strategies Own the end-to-end candidate experience as a core part of your recruitment practice What We Look For In You Extensive in-house recruiting experience, with a proven track record placing mid to senior-level roles Strong direct sourcing and headhunting capability Ability to consult, negotiate, and engage with a wide range of stakeholders in a matrixed environment Proven ability to manage competing priorities across teams and departments to achieve broader hiring goals English and Chinese language fluency to effectively communicate with candidates and hiring managers across multiple regions Nice to Haves Experience recruiting across multiple functions or business units simultaneously Prior experience in a high-growth or fast-scaling tech environment Comfort with hiring metrics and the ability to translate data into actionable improvements for candidate and hiring manager experience Genuine belief in blockchain and cryptocurrency 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: San Jose, California, United States 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 The FP&A Manager will support the end-to-end close lifecycle for our San Jose operations, driving accuracy and efficiency across journal entry preparation, reconciliations, and analysis. This role serves as a key pillar in the finance department, supporting critical month-end and year-end close activities while ensuring strict compliance with internal policies and tax regulations. As a proactive problem-solver, you will not only manage cross-functional queries and audit documentation but also identify strategic opportunities to automate workflows and streamline close processes within a fast-paced, complex organizational environment. What You’ll Be Doing Reporting directly to the Global Head of Finance, the Senior Manager FP&A will own the company's financial roadmap — from the annual operating plan and rolling forecasts to investor-grade scenario models and capital markets presentations. Critically, this person will also serves as the primary financial content author for investor-facing materials and investor engagement, working alongside the Global Head of Finance, CFO, and CEO to articulate the company's financial story to institutional investors, sovereign wealth funds, private equity, and equity capital markets participants. What We Look For In You 1. Financial Planning & Forecasting Build and own the company's Annual Operating Plan (AOP) — a rigorous, bottom-up budget covering all six finance units and all business segments Lead the quarterly rolling re-forecast cycle, incorporating latest trading volumes, crypto market conditions, macro environment, and business unit updates Establish a monthly financial review cadence with all six Finance unit heads, producing variance analysis and forward-looking commentary 2. Investor Presentation & Capital Markets Support Serve as the primary financial author for investor materials — Lead the construction of all investor-facing financial content — investor presentations, management roadshow decks, financial narrative sections of the S-1 / F-1 registration statement Build and maintain an investor-grade financial model that can be shared with prospective institutional investors, covering historical financials, KPI drivers. Develop the company's financial equity story — in partnership with the CFO and external advisors Build and maintain relationships with sell-side analysts and institutional investors, supporting the CFO in soft-touch investor outreach during the 12-month pre-IPO period Own the preparation of quarterly earnings materials post-IPO: earnings release, CFO script, analyst Q&A preparation, and management discussion sections 3. Business Finance Partnering Deploy and manage embedded Finance Business Partners across the company's major business units, acting as the financial partner to each segment's leadership team on resource allocation, product economics, and performance management Own OpEx budget management across all corporate functions — headcount planning, discretionary spend, capital expenditure prioritisation — acting as the financial gatekeeper for all material resource allocation decisions Build and manage a two-gate strategic investment review process: all investments above a defined IRR threshold (≥25% IRR on Base scenario; positive IRR on Bear / Winter Mode scenario) require FP&A-endorsed investment cases before Board approval Provide go/no-go financial analysis for all new market entries, new product launches, M&A opportunities, and strategic partnerships 4. Board & Executive Reporting Produce the monthly and quarterly financial package for the Board of Directors and Management Team — concise, with clear variance commentary, updated forecasts, and strategic recommendations Lead the FP&A input into the monthly Management Team Reporting cycle Support the CEO and CFO in preparation for Board meetings, Audit Committee reviews, and any investor committee meetings requiring financial presentation 5. FP&A Infrastructure & Team Building Build the FP&A team from the ground up — hiring, developing, and leading a team of finance professionals across corporate FP&A, business finance partnering, and investor analytics Implement the FP&A technology stack: Anaplan (planning and forecasting), connected to NetSuite (actuals), data warehouse, and Looker (dashboards) Design and implement the KPI framework that will serve as the operating dashboard for the company, the Board, and future public company investors — covering trading volume, revenue per user, take rate, EBITDA margin, and segment-level metrics Establish the monthly operating cadence described in the five-step Monthly Operating Cycle framework, embedded across all business units Nice to Have 8–12 years of progressive finance experience, including at least 3 years in a senior FP&A or strategic finance role. Strong performers at the 10-year mark are encouraged to apply Capital markets exposure — the candidate should have participated in or supported at least one of: an IPO or pre-IPO process, or an investor-facing finance role at a publicly listed or late-stage company. Ability to author financial content for institutional investors is essentia Investment banking or strategy consulting background — ideally 2–4 years at a bulge bracket or major regional investment bank, or a leading strategy consulting firm, with strong financial modelling and investor presentation skills. The ability to build and defend a valuation model under investor scrutiny is core to this role Fintech or crypto domain knowledge — understanding of digital asset revenue models (transaction fees, staking, custody, stablecoins), or equivalent experience at a high-growth fintech or technology company FP&A or strategic finance experience — hands-on experience with budgeting, forecasting, variance analysis, and Board-level financial reporting at a high-growth company Strong executive communication skills — must be able to present financial analysis clearly and confidently to senior leadership and external audiences Multi-currency, multi-entity financial modelling experience across at least two major regions Bachelor's degree in Finance, Economics, Accounting, or related field. MBA or CFA is a plus but not required Pre-IPO experience — ideally has supported a company through the full IPO journey from financial model construction through to S-1 filing and post-listing earnings cadence Anaplan, NetSuite, SQL proficiency — hands-on experience with modern FP&A tools, not just management oversight 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 dependents More that we love to tell you along the process! OKX Statement: OKX is committed to equal employment opportunities regardless of race, color, genetic information, creed, religion, sex, sexual orientation, gender identity, lawful alien status, national origin, age, marital status, and non-job related physical or mental disability, or protected veteran status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. The salary range for this position is $171,733 - $214,666 The salary offered depends on a variety of factors, including job-related knowledge, skills, experience, and market location. In addition to the salary, a performance bonus and long-term incentives may be provided as part of the compensation package, as well as a full range of medical, financial, and/or other benefits, dependent on the position offered. Applicants should apply via OKX internal or external careers site. 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: San Francisco, CA | New York City, NY | Washington, DC About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Safeguards Enforcement Analyst on the account abuse team, you'll build and execute enforcement workflows that keep our products safe, with a focus on detecting and mitigating potential harm. Your initial focus will be account compromise: Anthropic's enforcement systems have to distinguish customers whose accounts have been compromised from actors abusing the platform — and today those two populations can look identical in the data. Stolen credentials and leaked keys are a growing abuse vector, and the collateral damage from enforcement against them lands on legitimate users. You'll own this problem end to end: detection, revocation, user notification, remediation, and the criteria for restoring access — turning what is today ad hoc incident response into a scalable, repeatable program. This position may expand into broader areas of enforcement over time. Safety is core to our mission, and you'll help shape policy enforcement so that our users can safely interact with and build on top of our products in a harmless, helpful, and honest way. Key responsibilities Investigate credential-compromise incidents across first-party and third-party platforms, tracing actor behavior across accounts and surfaces Design and operate remediation workflows for compromised accounts: revocation, customer notification, and standards for restoring access Partner with Engineering and Data Science teams to improve how we separate compromised-customer traffic from willful abuse Enforce usage policies with a focus on detecting and mitigating potentially harmful use of AI systems Work with threat intelligence on emerging credential-abuse patterns and the actors behind them Support the Safeguards policy design team by providing detailed feedback on policy gaps based on real enforcement scenarios Keep up to date with emerging AI policy enforcement best practices, and use these to inform our decision-making and workflows Write the policy framework for compromise scenarios, including cases where Anthropic can't independently verify a customer's security posture Act as the enforcement SME when account compromise intersects with active abuse investigations Minimum qualifications Experience in trust and safety, fraud investigation, security operations, or a related field Subject matter expertise in one or more of: account takeover, credential abuse, session security, or incident response Experience designing or operating enforcement, remediation, or customer-recovery flows — not just detection Comfort using data (SQL or similar tools) to trace actor behavior across accounts and to measure what's working A thoughtful perspective on the tension between protecting the platform and restoring access for legitimate compromised customers Strong written communication skills, with experience producing clear briefs about messy incidents for technical and non-technical stakeholders Excellent judgment and the ability to collaborate with team members while navigating rapidly evolving priorities and workstreams Preferred qualifications Familiarity with credential-theft ecosystems or threat intelligence tooling Experience working with fraud/risk vendors (e.g., device or network intelligence platforms) Experience with API platform abuse specifically, not just consumer-account ATO A deep interest in AI safety and responsible technology development Experience writing effective prompts for generative AI systems in a content review or enforcement context The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $245,000 — $285,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | New York City, NY | Washington, DC About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Safeguards Enforcement Analyst on the account abuse team, you'll build and execute enforcement workflows that keep our products safe, with a focus on detecting and mitigating potential harm. Your focus will be driving a number of enforcement areas including access controls and identity verification. You'll own the policy layer of these systems: what we ask users for, when, on what grounds, and what passes. The work sits at the intersection of policy, operations, and regulatory exposure. This position may expand into broader areas of enforcement over time. Safety is core to our mission, and you'll help shape policy enforcement so that our users can safely interact with and build on top of our products in a harmless, helpful, and honest way. Key responsibilities Set collection policy for identity signals: what we request, in which enforcement states, and what evidence reinstates access Improve verification program health — accuracy, appeal coverage, and consistency of outcomes Own access policy for hard cases, including geographic restrictions and reseller arrangements Run the operational queue for access-control cases alongside contractor support, authoring playbooks and QA'ing scaled review output Work with Legal, Public Policy, and Privacy stakeholders to keep our approach proportionate, privacy-preserving, and responsive to an evolving regulatory landscape Coordinate enforcement consistency with third-party platform partners Keep up to date with emerging AI policy enforcement best practices, and use these to inform our decision-making and workflows Stand up graduated enforcement in practice — verification requests, conditional reinstatement, and appeal pathways that satisfy regulatory requirements for automated decisions Minimum qualifications Experience in trust & safety, integrity, or risk policy work Hands-on operational experience — you've owned or quality-checked live enforcement queues, not only authored policy Subject matter expertise in one or more of: KYC, identity verification, age or identity assurance, or verification program operations Experience navigating evolving regulatory landscapes (including frameworks like the DSA and GDPR) as design constraints rather than blockers Experience driving cross-functional initiatives with Product, Engineering, Legal, and Policy partners — especially where safety, privacy, and usability tradeoffs need to be navigated together Comfort using data (SQL or similar tools) to measure what's working and inform decisions Strong written communication skills, with experience producing clear briefs and recommendations for technical and non-technical stakeholders Excellent judgment and the ability to make consistent, defensible calls on ambiguous cases Preferred qualifications Experience with graduated/tiered enforcement systems rather than binary ban models Experience with geographic access restrictions, sanctions screening, or reseller/channel policy Experience building or scaling a contractor review bench A deep interest in AI safety and responsible technology development Experience writing effective prompts for generative AI systems in a content review or enforcement context The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $285,000 — $330,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Lagos, Nigeria Who We Are We’re a technology-driven financial services company committed to making financial inclusion count for millions of Nigerians. Through innovation and customer-centric solutions, we provide lending, savings, payments, and other financial products that help individuals and businesses thrive. The Position We are seeking an experienced and commercially astute Project Manager to lead the end-to-end implementation of Salesforce CRM across the business. This role will drive the full lifecycle of the Salesforce deployment, including solution design, stakeholder alignment, system integration, implementation, adoption, and optimization. A key focus will be ensuring seamless integration between Salesforce, Rencore, and Mambu to support customer management, loan origination, deposit onboarding, and card product workflows. As the Salesforce Champion, you will work closely with business and technology teams to deliver a platform that drives operational efficiency, customer experience, and business growth. Responsibilities Salesforce Project Delivery Lead full lifecycle Salesforce implementations and enhancements—from requirements gathering and solution design through configuration, integration, testing, data migration, training, go-live, and post-go-live optimization. Develop and manage detailed project plans, timelines, budgets, resource plans, and risk registers using Agile, Waterfall, or hybrid methodologies. Serve as the Salesforce Implementation Champion by building executive sponsorship, driving cross-functional alignment, and promoting user adoption across departments. Work closely with Salesforce architects, developers, administrators, and external implementation partners to deliver high-quality solutions. Facilitate workshops, process mapping, gap analysis, and requirements sessions to translate business needs into effective Salesforce configurations and automations. Lead change management, communication plans, and training programs to maximize user adoption and minimize resistance. Manage project budgets, vendor relationships, and resource allocation to deliver projects on time and within budget. Deliver the Salesforce CRM implementation aligned to business goals across the Loans, Deposits, and Cards business lines. Project Planning & Governance Develop and maintain a comprehensive project plan covering scope, milestones, resource allocation, risk management, and budget tracking. Establish governance structures including steering committee meetings, working groups, and cross-functional status reviews. Monitor and report project health metrics including RAG status, issue logs, dependency maps, and change control. Apply structured project management methodologies appropriate to the implementation context. Systems Integration & Technical Oversight Lead the design and delivery of the Salesforce → Rencore → Mambu integration model. Define data flow specifications, field mapping, and API integration requirements with architects and integration teams. Define and validate condition-based triggers governing when customer information is propagated into Mambu. Oversee data migration, system integrations, and quality assurance activities. Coordinate User Acceptance Testing (UAT), System Integration Testing (SIT), and regression testing cycles. Product Workflow Delivery Oversee Salesforce workflow design and configuration for Loans, Deposits, and Cards product lines. Ensure workflows align with regulatory, compliance, and operational requirements. Support: Loans : Lead capture, credit application intake, document collection stages, underwriting handoff, and disbursement triggers. Deposits : Account opening workflows, customer onboarding journeys, compliance documentation, and activation conditions. Cards : Card application management, eligibility checks, approval workflows, and fulfilment integration. Customer & Lead Data Management Define data governance standards for customers and lead information managed within Salesforce, including mandatory fields, data quality rules, and lifecycle stages. Establish validation frameworks that determine when a lead record matures into a customer profile eligible for downstream system population. Ensure the integrity and completeness of data migrated or created in Salesforce, with traceability into Rencore and Mambu. Stakeholder & Change Management Serve as the primary point of accountability for all Salesforce implementation workstreams with internal and external stakeholders. Manage relationships with implementation partners, Rencore technical teams, and Mambu integration support. Lead organisational readiness activities, including training programmes, process documentation, and adoption tracking. Proactively manage stakeholder expectations and escalate risks or blockers through appropriate governance channels. Compliance & Regulatory Alignment Ensure the implementation adheres to NDPR and applicable regulatory requirements. Collaborate with Compliance and Legal teams to ensure AML, KYC, and credit risk requirements are embedded within workflows. Ensure audit trails are built into Salesforce configurations to support regulatory reporting and audit requirements. Requirements What You Bring Education & Experience Bachelor’s degree in computer science, Information Systems, Business Administration, or a related field; Master’s degree is an advantage. Minimum 7 years of project management experience, with at least 3 years managing CRM or enterprise software implementations. Proven track record delivering Salesforce implementations in complex, multi-stakeholder environments. Demonstrated experience managing system integration projects involving multiple platforms, APIs, and data pipelines. Experience in financial services or fintech, with knowledge of core banking concepts, loan origination, deposit management, or card processing. PMP, PRINCE2, SAFe, or equivalent project management certification required. Technical Expertise Strong knowledge of Salesforce platforms including Sales Cloud, Service Cloud, or Financial Services Cloud. Experience managing integration architecture, APIs, data migration, and data quality initiatives. Familiarity with Mambu or similar cloud-native core banking platforms. Proficiency with project management tools such as JIRA, MS Project, Asana, and Confluence. Preferred Qualifications Salesforce Administrator or Salesforce Project Management certification. Experience working in regulated financial services environments. Knowledge of CBN regulatory frameworks. Experience supporting large-scale digital transformation programmes. This Job Is Perfect For You If You Have successfully delivered enterprise CRM implementations from planning through deployment. Can balance business priorities, technical requirements, and stakeholder expectations. Thrive in complex, cross-functional environments. Have strong systems thinking and integration experience. Are highly organized, commercially minded, and delivery focused. Benefits What's In It For You Lead a high-impact digital transformation programme at the heart of the business. Partner with senior leaders across Technology, Operations, Product, and Commercial teams. Gain exposure to Salesforce, core banking integration, and large-scale fintech transformation initiatives. Competitive compensation and benefits package. Opportunity to make a lasting impact in a fast-growing, technology-driven financial services organisation.

Location: San Francisco Bay Area, USA Workplace: Hybrid Why work at Higgsfield AI? Higgsfield AI is the fastest-scaling generative AI company in history, hitting $1B in annual revenue run rate, 30M+ users worldwide, 6M+ generations per day, and powering 390 of Fortune 500 brands. We're building at the absolute frontier of AI-powered video creation and next-generation creative tools. Joining Higgsfield means becoming part of a high-impact team shaping the future of AI-native experiences, at a company that isn't just moving fast, but rewriting what fast looks like. About the role: Higgsfield AI is seeking a Director of Partnerships, AI Model and Ecosystem to lead strategic partnerships across our global compute ecosystem. This is a highly cross-functional role focused on identifying partnership opportunities, developing commercial strategies, negotiating agreements, and serving as the primary relationship owner for key infrastructure partners. You'll work closely with leadership, Finance, Marketing, Legal, Engineering, Product, and external executives to secure partnerships that enable Higgsfield's continued hypergrowth. The ideal candidate combines the structured problem-solving of a management consultant with exceptional relationship management and commercial negotiation skills. You are comfortable navigating ambiguity, aligning diverse stakeholders, and driving complex initiatives from strategy through execution. What You'll Do: Build Strategic Partnerships - Identify, evaluate, and develop strategic partnerships across cloud infrastructure, GPU providers, hardware vendors, and other compute partners. - Own relationships with key external partners from initial engagement through long-term account management. - Develop partnership strategies that align with Higgsfield's business objectives and infrastructure roadmap. - Identify opportunities to expand strategic partnerships over time. Lead Commercial Negotiations - Structure and negotiate commercial agreements that maximize long-term value. - Coordinate negotiations across Legal, Finance, Marketing, Product, and Engineering stakeholders. - Drive contract discussions through execution while balancing technical, operational, and commercial priorities. - Manage ongoing commercial relationships and partnership performance. Drive Cross-Functional Alignment - Serve as the central point of contact for strategic partnership initiatives. - Identify key internal and external stakeholders and align priorities across multiple organizations. - Understand partner motivations, business objectives, and decision-making processes. - Build consensus and remove blockers to accelerate partnership execution. Influence Business Strategy - Conduct market research and competitive analysis across the AI infrastructure ecosystem. - Develop business cases and executive-level recommendations for strategic partnerships. - Monitor industry trends and identify emerging partnership opportunities. - Support executive leadership with strategic planning and partnership reporting. Requirements: - 5–10 years of experience in management consulting, strategy, business development, strategic partnerships, corporate development, investment banking, or related experience. - Experience leading complex, cross-functional strategic initiatives. - Strong commercial negotiation and contract management experience. - Exceptional executive presence and stakeholder management skills. - Demonstrated ability to navigate complex organizations and influence without direct authority. - Strong analytical and structured problem-solving skills. - Experience building business cases and presenting recommendations to executive leadership. - Excellent written, verbal, and presentation skills. - Ability to manage multiple high-priority initiatives in a fast-paced environment. - Experience working with Legal, Finance, Marketing, Product, and Engineering teams. - Experience within AI, cloud infrastructure, hyperscalers, semiconductors, GPU providers, enterprise technology, or adjacent industries. - Experience negotiating strategic technology partnerships or infrastructure agreements. - Background in management consulting (McKinsey, Bain, BCG, or similar), strategy, or corporate development. - Familiarity with AI infrastructure, cloud computing, or large-scale distributed systems. - Experience working at a high-growth, venture-backed technology company. Compensation & Benefits - We offer a competitive and thoughtfully structured compensation package designed to align with impact, experience, and long-term growth. - Base Salary: The anticipated salary range for this role is $250,000 - $350,000 depending on experience, skills, scope, and location. - Bonus: This role is Bonus eligible and may participate in the Company's discretionary annual bonus program. - Equity: In addition to cash compensation, employees are eligible to participate in the company’s stock option program and share in Higgsfield’s long-term growth. - Benefits: We offer a comprehensive benefits package designed to support employees professionally and personally, including medical, dental, and vision insurance, a competitive 401(k) retirement plan with company matching, and additional benefits and perks.The opportunity to work on ambitious AI products alongside a highly experienced, fast-moving, and international team. - Significant ownership, direct impact, and opportunities for professional growth as the company scales. This is a hybrid role based in the San Francisco Bay Area. Team members are expected to work from our San Francisco office three full days per week, with the remaining days worked remotely and are expected to be available during agreed working hours and to maintain sufficient overlap with the relevant team’s time zone. We value in-person collaboration, active communication, responsiveness, and close partnership across teams. Higgsfield AI is an equal opportunity employer. We are committed to building a diverse and inclusive team and do not discriminate on the basis of race, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, disability, veteran status, or any other protected characteristic.

Location: United States, San Mateo, CA Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Do you have strong technical abilities, and excellent communication skills and can be an inspiration to your team to achieve extraordinary results? Have a passion for automation? Want to work at a company where customers have real excitement for the products you help create? At PlayStation, we are seeking engineers to join a global initiative in robust test automation and Continuous Integration/Continuous Deployment systems. We are looking for a Software Development Engineer in Test Contractor (SDET Contractor) who can help ensure we're able to continue to grow our capabilities without negative impact to our passionate user base. What You'll Do Setup test frameworks, and help teams set up automation infrastructure Automated testing of UI Frameworks, Background Services, Language runtimes, Browser technologies. Develop and implement standard methodologies for automation, continuous build and deploy, automated testing, multi-functional end-to-end testing, including device testing, and performance testing Work with globally distributed teams to engage early and provide continuous delivery of high quality software products that delight Sony customers Manage, and monitor various Jenkins Jobs and report statuses Identify and act on opportunities to improve the QA process Expand testing and automation across teams to promote ownership of quality Work with console developers to ensure that all features and bug fixes come with automated test coverage Maintain and improve existing Python based automation framework Report, track and verify defects This Role Will Require Knowledge Of Testing – the study and practice of a variety of test techniques and methodologies, and familiarity with prominent voices in the online testing community Test automation – an interest in test automation to a level where you can discuss the pros and cons of various automation approaches. To support this, you also have working knowledge of a modern programming language Agile software development – understanding of common methodologies and articulation of how a strong tester can best support their team in that context Performance - passion for application performance and concern about application load time, perceived performance, and user retention Qualifications A Bachelor's degree in Computer Science or equivalent Proven experience writing automated tests in C++, Python, JavaScript Practical experience using development and deployment tools: Git, Docker, Conan, npm Experience in developing CI pipelines using Jenkins / Github Actions, Experience with Selenium or Appium Experience with at least one modern web application framework, preferably React Knowledge and experience testing APIs, Libraries, SDK / Application Frameworks, Native Applications Strong technical, analytical, and problem-solving skills Ability to work independently and as part of a team Excellent verbal and written communication skills Ability to estimate effort and size of features Experience with agile development methodologies and TDD processes Join us at PlayStation and help us build world-class experiences for our users! At SIE, working with our partners, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the individual base pay range may vary based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for benefit offerings that include medical, dental, and vision. Click here to learn more. The estimated base pay range for this role is listed below, this is an hourly rate. $52 — $78 USD Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Location: Boston, MA Workplace: OnSite At WHOOP, we're on a mission to unlock human performance and healthspan. WHOOP empowers members to perform at a higher level and live longer through a deeper understanding of their bodies and daily lives. We are seeking an Associate Director, Core Algorithms (Cloud) to lead the teams responsible for WHOOP's cloud-based algorithmic intelligence — the models and systems that transform physiological data into the sleep, recovery, and training insights our members rely on daily. This role is also responsible for ensuring our cloud algorithms evolve alongside WHOOP hardware, partnering with Sensor Intelligence and Hardware teams to translate new sensor capabilities into production-grade algorithmic experiences. You will own the technical vision, execution, and organizational health of this team. You'll drive the evolution of our core production algorithms such as workout detection, strain, and sleep staging toward higher accuracy, better member experiences, and more mature development practices. You will partner closely with ML Platform, Sensor Intelligence, Research, Product, and Software Engineering to define what WHOOP algorithms can enable — not just how they perform technically, but how they show up for members. This is a role for someone who has built and shipped physiological ML at scale in a consumer product, who has a deep product instinct for what algorithms mean to end users, and who knows how to elevate an ML organization's practices: raising the bar on tooling, processes, and standards to match the ambition of the work. RESPONSIBILITIES - Lead the cloud ML team responsible for the algorithms powering sleep, recovery, and training - Directly manage applied ML scientists and ML engineers; provide coaching, career development, and performance feedback that grows individual contributors into strong technical leaders - Ensure the technical quality bar for algorithm development is maintained by establishing the processes, reviews, and standards that guarantee rigor from research through deployment, and diving into designs and architectural decisions where necessary - Help drive the vision for what WHOOP algorithms and next-generation sensors can enable; advocate for member experience and push the boundaries of what our data makes possible - Ensure cloud algorithms remain compatible with future hardware generations; partner with Sensor Intelligence and Hardware to evolve proof-of-concept algorithms that leverage new sensor capabilities and bring them to production readiness - Establish and improve development lifecycle practices: experiment management, model validation, deployment pipelines, and production monitoring - Partner with ML Platform / MLOps to define requirements and drive maturity improvements across experiment tracking, model monitoring, deployment automation, and observability - Drive cross-functional alignment with Sensor Intelligence, Product, Software Engineering, and Research teams QUALIFICATIONS - 8+ years of experience in machine learning or applied data science, with hands-on experience developing and shipping ML models for a consumer product - 4+ years of people leadership experience directly managing machine learning scientists/engineers, with demonstrated growth of team members and a track record of building high-performing teams - Experience scaling a production ML organization: growing teams and leaders, identifying gaps in the development lifecycle, and driving improvements that increase velocity, reliability, and rigor - Deep product sense: ability to think about algorithms from the member's perspective, drive the vision for what algorithms can enable, and ensure the team is building toward meaningful user outcomes - Ability to evaluate technical designs, guide architectural decisions, and ensure quality at the system level, without needing to write code day-to-day - Experience defining and driving cross-functional programs with engineering, product, and science partners - Strong communication skills with the ability to translate complex ML concepts to diverse audiences including product, engineering, and executive stakeholders PREFERRED - Experience building algorithms using physiological or wearable sensor data (e.g., PPG, accelerometer, temperature, bioimpedance) - Experience managing through hardware-coupled development timelines where sensor availability and device generations constrain algorithm roadmaps - Familiarity with time-series modeling, sequential data, and the specific challenges of continuous physiological monitoring This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.    Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.   WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/ to determine employment eligibility.  It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.   At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success.   The U.S. base salary range for this full-time position is $200,000-$245,000 Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training.    In addition to the base salary, the successful candidate will also receive benefits and a generous equity package.   These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.   Learn more about WHOOP https://www.whoop.com/us/en/careers/?srsltid=AfmBOopKmph9d0DLBlogZu8mx6do0dzjNS8eJlfc4PQqQtdU6F8DGKBg.

Location: Remote (United States | Canada) Workplace: Remote 1Password is growing. We’ve surpassed $500M in ARR and we’re continuing to accelerate, earning a spot on the Forbes Cloud 100 for four years in a row and teaming up with iconic partners like Oracle Red Bull Racing. About 1Password At 1Password, we’re building the foundation for a safe, productive digital future. Our mission is to unleash employee productivity without compromising security by ensuring every identity is authentic, every application sign-in is secure, and every device is trusted. We innovated the market-leading enterprise password manager and pioneered Unified Access Management, a new cybersecurity category built for the way people and AI agents work today. As one of the most loved brands in cybersecurity, we take a human-centric approach in everything from product strategy to user experience. Over 180,000 businesses, from Fortune 100 leaders to the world’s most innovative AI companies, trust 1Password to help their teams securely adopt the SaaS and AI tools they need to do their best work. If you're excited about the opportunity to contribute to the digital safety of millions, to work alongside a team of curious, driven individuals, and to solve hard problems in a fast-paced, dynamic environment, then we want to hear from you. Come join us and help shape a safer, simpler digital future. We're looking for a Staff Data Analyst to be the senior analytical partner to our Marketing organization. You'll define how Marketing understands its own performance, influence investment decisions at the leadership level, and shape the data foundations that underpin our AI and automation capabilities. Sitting within our centralized analytics function, you'll work closely with Growth Marketing, Corporate Marketing, Revenue Operations, Finance, and Data Engineering bringing strategic thinking, deep marketing expertise, and the ability to turn complex data into clear recommendations that move the business forward. How we’re using AI today On the Marketing team, we’re growing our AI capability together and redesigning how work gets done. We’ve built agents to improve workflows focused on competitive intelligence, content creation, and campaign planning, helping us stay sharp, reduce context-switching, and surface the right information at the right time. AI helps us coordinate, execute, and uncover insights faster so we can spend more time on what’s most important: performance, judgement, and driving the future of 1Password. This is a remote opportunity within Canada and the US. What we're looking for: - 7+ years in marketing analytics and data strategy within complex B2B SaaS environments - Deep marketing domain expertise, including attribution, funnel analysis, forecasting, KPI development, and lifecycle measurement - Proven experience partnering directly with senior marketing leaders and executive stakeholders - Experience leading attribution modernization or marketing measurement transformation initiatives - Familiarity with AI-assisted analytics, statistical modeling, or predictive techniques in a business context - Advanced SQL and strong experience with large-scale analytical datasets - Hands-on experience with modern AI/BI tools (Hex, Omni, Claude, Dust, or similar) - Comfort in modern cloud data ecosystems: Snowflake, Databricks, dbt - Experience working with Marketing and GTM platforms: Salesforce, Marketo, GA4, and related martech What you can expect: - A greenfield opportunity to shape the data foundations, measurement frameworks, and analytical standards that Marketing and 1Password's broader AI capabilities will depend on - Deep partnership with Marketing leadership across planning cycles, investment decisions, and performance measurement - Ownership of complex marketing domain work across attribution, funnel measurement, forecasting, and lifecycle analysis in a fast-moving SaaS environment - A seat at the forefront of how AI gets applied in Marketing analytics, building the trusted, governed data foundations that every AI initiative will depend on - Cross-functional partnership across Marketing, Finance, RevOps, Product, and Data teams with the opportunity to mentor analysts and raise the bar on analytical standards - An environment where there's a lot to build and your fingerprints will be on it. This is a role for someone who thrives with ownership and ambiguity, not a playbook to follow USA-based roles only: The annual base salary for this role is between $149,000 USD and $216,000 USD, plus immediate participation in 1Password's benefits program (health, dental, 401k and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs. Canada-based roles only: The annual base salary for this role is between $131,000 CAD and $175,000 CAD, plus immediate participation in 1Password’s generous benefits program (health, dental, RRSP and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs. At 1Password, we approach each individual's compensation with a promise of fair market value and internal equity commensurate with experience and specific skill set. This posting is for an existing vacancy. Our culture At 1Password, we prioritize collaboration, clear and transparent communication, receptiveness to feedback, and alignment with our core values: keep it simple, lead with honesty, and put people first. You’ll be part of a team that challenges the status quo, and is excited to experiment and iterate in search of the best solution. That said, 1Password is not for everyone https://blog.1password.com/inside-the-culture-powering-1passwords-next-chapter/. Our work is demanding, we strive for excellence, and the pace is fast. We need people who are keen to take on challenging problems, who seek feedback to grow, and who are driven to make an impact. If you're looking for a place where you can settle into a comfortable routine, this might not be the right fit for you. We’re looking for individuals who are proven experts in their fields, as well as those who are highly adaptable, can thrive in ambiguity and through change, are curious, and above all deliver results. How we work with AI We are committed to leveraging cutting-edge technology—including AI—to achieve our mission. We also understand that thinking critically about AI in its current forms will help us create better solutions for our customers and ourselves with its future forms, which will help us continue to close the gap between security and privacy and achieve our mission. We want team members at all levels to take the approach of actively learning AI best practices, identifying opportunities to apply AI in meaningful ways, and driving innovative solutions in their daily work. Embracing the future of AI isn't just encouraged—it's an essential part of how we will be successful at 1Password. This approach extends to our hiring process—candidates are welcome to use AI tools responsibly and thoughtfully during the application process. Our approach to remote work We believe in the power of remote work, but recognize that in-person connection is important to help us achieve our mission. While we are a remote-first company, travel for in-person engagement is a part of almost all roles, and we require our employees to be ready and willing to take part. Frequency will depend on role and responsibilities, and may include, but is not limited to: annual department-wide offsites, team meetings, and customer/industry events. What we offer We believe in working hard, and rewarding that hard work through our benefits. While not an exhaustive list, here is a glance at what we currently offer: Health and wellbeing 👶 Maternity and parental leave top-up programs 🩺 Competitive health benefits 🏝 Generous PTO policy Growth and future 📈 RSU program for most employees 💸 Retirement matching program 🔑 Free 1Password account Community 🤝 Paid volunteer days 🏆 Peer-to-peer recognition through Bonusly 🌎 Remote-first work environment *Some roles in our GTM team are currently being hired for in-person hybrid work in Toronto and Austin. These roles will specify on the posting. You belong here. 1Password is proud to be an equal opportunity employer. We are committed to fostering an inclusive, diverse and equitable workplace that is built on trust, support and respect. We welcome all individuals and do not discriminate on the basis of gender identity and expression, race, ethnicity, disability, sexual orientation, colour, religion, creed, gender, national origin, age, marital status, pregnancy, sex, citizenship, education, languages spoken or veteran status. Be yourself, find your people and share the things you love. Accommodation is available upon request at any point during our recruitment process. If you require an accommodation, please speak to your talent acquisition partner or email us at nextbit@agilebits.com and we’ll work to meet your needs. Remote work is a part of our DNA. Given that our company was founded remotely in 2005, we can safely say we're experts at building remote culture. That said, remote work at 1Password does mean working from your home country. If you've got questions or concerns about this, your talent partner would be happy to address them with you. Successful applicants will be required to complete a background check that may consist of prior employment verification, reference checks, education confirmation, criminal background, publicly available social media, credit history, or other information, as permitted by local law. 1Password uses artificial intelligence (AI) and machine learning (ML) technologies, including natural language processing and predictive analytics, to assist in the initial screening of employment applications and improve our recruitment process. See here https://www.ashbyhq.com/downloadables/ashby-bias-audit-08-2024.pdf for the latest third party bias audit information. If you prefer not to have your application assessed using AI/ML features, you may opt out by completing this form https://jobs.ashbyhq.com/1password/automation-notice. For additional information see our Candidate Privacy Notice https://1password.com/files/candidate-privacy-notice.pdf.

Location: Sahibzada Ajit Singh Nagar (Mohali), India Workplace: hybrid We are currently seeking an Applied Machine Learning / Computer Vision Engineer to join one of our clients’ innovative AI teams. This is an exciting opportunity to work on a next-generation AI platform combining Computer Vision, Multimodal AI, Applied Machine Learning, and Large Language Models . Key Responsibilities As an Applied ML / Computer Vision Engineer, you will: Design, develop, and improve Computer Vision and image-processing pipelines. Build solutions for video analysis, video understanding, and real-time visual processing. Develop multimodal AI systems combining vision, audio, and language data. Work with object detection, image segmentation, classification, tracking, and related Computer Vision techniques. Implement and fine-tune Vision-Language Models and Transformer-based architectures. Integrate Large Language Models into AI products for reasoning, analysis, and automated decision-making. Evaluate, optimize, and deploy machine-learning models in production environments. Improve model inference speed, accuracy, scalability, and resource efficiency. Translate research papers and emerging AI techniques into practical product features. Build APIs and production-grade services for AI model integration. Collaborate with engineering and product teams to understand business requirements and deliver effective AI solutions. Monitor model performance and continuously improve deployed systems. Maintain clear, reusable, and well-documented code. 1–4 years of experienc e in Applied Machine Learning, Computer Vision, Deep Learning, or a related field. Strong programming skills in Python. Hands-on experience with PyTorch. Practical knowledge of OpenCV and image or video processing. Strong understanding of Deep Learning fundamentals. Experience with object detection and/or image segmentation models. Knowledge of Transformer architectures. Experience working with Vision-Language Models. Familiarity with the Hugging Face ecosystem. Experience with model inference, evaluation, and optimization. Understanding of how to move models from experimentation into production. Experience using Docker and Git . Ability to independently investigate technical challenges and propose practical solutions. Ability to understand, reproduce, and implement methods described in research papers. Strong analytical and problem-solving skills. Curiosity and willingness to explore new technologies. Passion for AI, Machine Learning, and product development. Ownership mindset and accountability for delivered solutions. Ability to work independently and contribute within a collaborative team. Interest in building practical products rather than focusing only on model experimentation. Comfortable working in a fast-moving and research-driven environment. Nice to Have Experience with one or more of the following technologies would be considered an advantage: YOLO GroundingDINO SAM or SAM2 Florence-2 Whisper Qwen2.5-VL LLaVA InternVL CUDA TensorRT ONNX FastAPI (Exceptional fresh graduates may also be considered if they can demonstrate strong technical knowledge through relevant academic work, personal projects, GitHub repositories, Kaggle participation, research, or a technical portfolio.)

Requirements: - Be outside Russia and Belarus; - Bachelor’s/College degree is a must; - 6+ years of experience in both Automation & Manual Java testing methodologies plus at least 3 years of experience as PO/PM and previous experience in mentoring, leading, code review practice, etc.; - Strong ability to handle Backend services such as APIs, Databases, distributed services; - Linux and database operation: MySQL, PostgreSQL; - Programming experience: Java; - Agile/Scrum; - Russian, English languages. Conditions: - B2B contract; - Full-time, 8 hours a day; - 5 hours daily overlap with the core team (8 a.m. - 1 p.m. UTC-5); - Vacation is unpaid; - Minimum contract duration is 9 months and more.