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This is a hands-on operations role at the intersection of traditional financial markets and digital assets. You will own end-to-end workflows for asset integrations, manage critical platform events, and serve as the primary liaison between our internal teams and external partners. If you have built a strong foundation in TradFi — investment banking, asset management, capital markets, or corporate finance — and are ready to apply that rigour to the fastest-moving corner of financial services, this role is for you. What You'll Do Asset Lifecycle Management Manage end-to-end operational workflows for new digital asset integrations and asset offerings across products — from initial assessment through to live launch and ongoing maintenance. Event Operations Oversee and execute platform updates for critical asset events: token migrations, smart contract swaps, protocol upgrades, rebrands, and asset deprecation/offboarding. Precision and timing are everything. External Partner Management Act as the primary operational point of contact for external project teams, foundations, and key stakeholders. You will be the face of our operations to the ecosystem — reliable, responsive, and sharp. Cross-Functional Coordination Collaborate daily with Product, Engineering, Compliance, Legal, Marketing, and Customer Support to align on technical requirements, regulatory guidelines, and project timelines. Ecosystem Campaigns Coordinate internally to facilitate joint promotional campaigns, user engagement activities, and ecosystem growth initiatives with external partners. Process Optimisation Maintain accurate documentation, operational trackers, and standard operating

We are seeking a Staff engineer to design, build, and operate the internal and external Observability stack for the MongoDB platform. Tens of thousands of customers depend on our Observability stack to monitor their database clusters and to generate actionable alerts to safeguard critical workloads. The Collections team is a newly formed team within MongoDB's Observability & Adoption Org focused on making telemetry onboarding and collection significantly easier across MongoDB. We own key parts of the observability collection stack, including onboarding experience, telemetry collection agents across the data and control planes, and ingestion services for metrics, logs, and traces that support both internal and customer observability in MongoDB, driving insights, recommendations, and alerting. Our mission is to reduce friction for teams implementing and iterating on Observability while partnering closely with development teams to instrument their services using shared best practices, helping define the conventions our telemetry should follow, and building collection and ingestion systems that are stable, performant, secure, well-documented, and self-service. We also work closely with the Data Pipeline and Storage & Query teams to help ensure MongoDB has a stable and performant observability stack end to end. This is an opportunity to join a team shaping how observability works across MongoDB and to have outsized impact on both the developer experience and the reliability of the platform underneath it. As MongoDB Atlas and its supporting infrastructure continue to experience rapid growth, the demand for high-cardinality observability data for internal and external use cases means we need to continually innovate and scale our systems to the next level. For example, MongoDB Observability systems need to handle 10’s of billions of metrics time series, all whilst processing petabytes of logs, traces, and events. Our stack includes VictoriaMetrics, Grafana, Sp

We are seeking a Staff engineer to design, build, and operate the internal and external Observability stack for the MongoDB platform. Tens of thousands of customers depend on our Observability stack to monitor their database clusters and to generate actionable alerts to safeguard critical workloads. The Collections team is a newly formed team within MongoDB's Observability & Adoption Org focused on making telemetry onboarding and collection significantly easier across MongoDB. We own key parts of the observability collection stack, including onboarding experience, telemetry collection agents across the data and control planes, and ingestion services for metrics, logs, and traces that support both internal and customer observability in MongoDB, driving insights, recommendations, and alerting. Our mission is to reduce friction for teams implementing and iterating on Observability while partnering closely with development teams to instrument their services using shared best practices, helping define the conventions our telemetry should follow, and building collection and ingestion systems that are stable, performant, secure, well-documented, and self-service. We also work closely with the Data Pipeline and Storage & Query teams to help ensure MongoDB has a stable and performant observability stack end to end. This is an opportunity to join a team shaping how observability works across MongoDB and to have outsized impact on both the developer experience and the reliability of the platform underneath it. As MongoDB Atlas and its supporting infrastructure continue to experience rapid growth, the demand for high-cardinality observability data for internal and external use cases means we need to continually innovate and scale our systems to the next level. For example, MongoDB Observability systems need to handle 10’s of billions of metrics time series, all whilst processing petabytes of logs, traces, and events. Our stack includes VictoriaMetrics, Grafana, Sp

The following description is not intended as an exhaustive list of all responsibilities, duties and skills required of personnel so classified. Management retains the discretion of adding or changing the duties of the position at any time. Pasadena, CA (Onsite) Full-time Salary: 90K to 110K About the Role We are seeking a Business Systems Analyst with strong project delivery experience to lead enterprise system initiatives across CRM, ERP, and operational platforms. This role is best suited for someone who can bridge business and technical teams and has hands-on experience driving system implementations from design to go-live. You will work closely with stakeholders across Sales, Operations, Finance, Customer Service, and Supply Chain to deliver scalable system solutions that improve business efficiency. What You Will Do Project & Delivery Ownership Lead end-to-end delivery of enterprise systems projects (requirements → design → implementation → go-live → support) Manage project scope, timeline, risks, dependencies, and stakeholder communication Drive cross-functional alignment across business teams, IT, and external vendors Proactively identify blockers and drive resolution Business Analysis & Process Improvement Gather and translate business requirements into: Functional specifications Process flows User stories Analyze and optimize end-to-end business processes across systems Support solution design with a focus on scalability and operational efficiency Systems & Technical Collaboration Partner with engineering and data teams on: System integrations Data flows Process automation Support platforms such as: Microsoft Dynamics 365 CRM SAP ERP Other enterprise and operational systems Understand system architecture at a conceptual level (APIs, integrations, data models) Implementation & Adoption Support system testing (UAT), training, and go-live readiness Drive user adoption and change management Monitor post-launch

The FP&A team at Zoox drives financial analysis of key strategic investments, maintains short and long term financial models, and develops reporting for both internal and external stakeholders. As a Financial Analyst supporting Commercial Operations, you will partner with key stakeholders across Operations, Go-to-Market, Data Science, and Software teams to manage revenue planning and reporting processes for Zoox’s rapidly growing Robotaxi business. You will manage short and long-term financial planning cycles and financial and operational metric reviews to ensure efficient resource allocation. This will require a deep understanding of Zoox’s ridehail operations and spend drivers, establishing strong working relationships with executives, managers, and individual contributors across multiple departments, and utilizing enterprise systems and tools to establish robust financial models and dashboards. The goal for this role is to drive decision-making through timely and actionable financial insights. In this role you will: Own and maintain long-range, annual, and mid-year financial models for demand, fleet allocation, gross bookings and TNC fees Develop city-level models for commercial operations and drive financial analysis for market expansion Partner with operations, manufacturing, regulatory, and data science teams to ensure consistent and industrialized data pipelines for financial analysis Analyze large financial datasets from Anaplan, SAP S4, Databricks, and other internal data systems to drive actionable insights Support implementation of systems required for commercial operations through design, build, testing, and cutover phases Qualifications BA/BS degree, preferably in a Finance, Accounting, Data Science or a quantitative field 4+ years experience in an FP&A or other analytical field 2+ years of direct experience building models, forecast input templates, dashboards, and business proces

The FP&A team at Zoox drives financial analysis of key strategic investments, maintains short and long term financial models, and develops reporting for both internal and external stakeholders. As a Financial Analyst supporting Production Manufacturing, you will partner with several Manufacturing groups, Supply Chain, and Accounting teams to drive financial planning and MEC activities. You will own critical manufacturing KPIs, including inventory, BOM, and open PO planning, manage monthly S&OP cycles and close activities related to product costing. This role requires a solid understanding of cost accounting systems and processes as well as financial planning and reporting in a manufacturing environment. You will leverage SAP, Anaplan, and other reporting systems to analyze large financial datasets and provide actionable insights that influence operational strategy and manufacturing efficiency. In this role you will: Own inventory, BOM, open PO, and other manufacturing KPI planning and reporting Support monthly S&OP and forecast variance reporting to Finance, Manufacturing, and Supply Chain leadership Manage close activities including accruals and allocations for product costing Analyze large financial datasets from Anaplan, SAP S4, SAP Ariba, and other internal data systems to drive actionable insights Support implementation of systems required for production manufacturing through design, build, testing, and cutover phases Qualifications BA/BS degree, preferably in a Finance, Accounting, Data Science or a quantitative field 4+ years experience in an FP&A or other analytical field 2+ years of direct experience building models, forecast input templates, dashboards, and business process development in a manufacturing environment Experience with product costing and financial analysis in a manufacturing environment Experience working directly with best-in-class planning and re

Company Description Novo is a venture-backed fintech that simplifies banking for small businesses. Since our Fall 2018 beta launch, we've expanded offerings from free checking accounts and debit cards to lending products, business tools (invoices, bookkeeping, and more), and integrations. Today, Novo is a powerfully simple banking platform that serves over 250,000 small businesses. In addition to providing smart tools built for entrepreneurs to better run and grow their businesses, Novo has processed billions in transactions in partnership with a number of established banking partners. Our vision is to be the go-to platform serving small businesses – from launch to everyday – so business owners can focus on growing, while Novo provides seamless money movement, money storage, and access to capital. We'd like to look back 5–10 years from now and know that we helped new generations of small businesses succeed because of the work we did at Novo. Novo raised $170 million in venture capital and is backed by leading investors, including Stripes, Valar Ventures, Crosslink Capital, and Notable Capital (formerly GGV). Learn more at https://www.novo.co . Role Description Novo is seeking a Senior Product Manager to own the platform surface area that connects, activates, and deepens value for small businesses in their first 90 days and beyond. This role spans our DDA onboarding to funding activation funnel, invoice workflow, external integrations ecosystem — three interconnected surfaces that together determine whether a new Novo customer becomes an engaged, transacting one. The role will also explore how to apply AI to enhance how SMBs interact with Novo. The ideal candidate is a hands-on product leader who combines platform and tooling depth with a growth mindset: someone who can own complex product workflows end-to-end, run rigorous experimentation, and is comfortable getting their hands dirty in LLMs. This is a high-impact, high-visibility role at the intersection of product

Responsibilities Prepare month-end closing, reconciliations and financial reporting on a timely basis Prepare audit schedules and perform financial analysis as required Coordinate with the internal and external parties to handle day-to-day duties Assist in year end audit enquiries for responsible entities Provide support for daily financial functions within the team Provide accounting and financial reporting assistance with new business initiatives Assist in ad hoc tasks as assigned Requirements Bachelor degree in Finance, Accounting, or equivalent 5 years of work experience in finance and/or accounting. Experience with Big 4 audit firms is considered a plus Qualified Accountant with professional qualifications such as HKICPA or equivalent is advantageous Strong sense of responsibility, attention to detail, self-motivation, and ability to work independently Good time management skills and the ability to multitask efficiently under pressure Excellent communication and interpersonal skills Fluent in both written and spoken English and Chinese Proficiency in Microsoft Word, PowerPoint, and Excel Interests in leveraging AI for automation is a plus Immediate availability is preferred Candidates with less experience will be considered as Senior Finance Associate #LI-CW1

About the Team The Intelligence and Investigations team seeks to rapidly identify and mitigate abuse and strategic risks to ensure a safe online ecosystem. We are dedicated to identifying emerging abuse trends, analyzing risks, and working with our internal and external partners to implement effective mitigation strategies to protect against misuse. Our efforts contribute to OpenAI's overarching goal of developing AI that benefits humanity. The Strategic Intelligence & Analysis (SIA) team provides safety intelligence for OpenAI’s products by monitoring, analyzing, and forecasting real-world abuse, geopolitical risks, and strategic threats. Our work informs safety mitigations, product decisions, and partnerships, ensuring OpenAI’s tools are deployed securely and responsibly across critical sectors. About the Role As an Agentic Risk Analyst, you will shape OpenAI’s operating picture for current agentic risk across products and platforms. You will bring a strategic, system-level perspective to current risks, connecting individual incidents, technical findings, abuse patterns, and external developments to relevant workstreams, mitigations, owners, dependencies, and residual gaps. You will analyze how risks emerge through autonomy, multi-step task execution, tool use, memory, retrieval, connectors, computer-use capabilities, and multi-agent workflows, with a particular focus on both adversarial misuse and unintended system behavior. By synthesizing signals from investigations, evaluations, red teaming, security reviews, product launches, external research, and real-world incidents, you will maintain a current view of material risks and evolving threat patterns. Your work will help turn complex and often ambiguous signals into coordinated decisions and measurable follow-through across product, safety, security, policy, and governance teams. You will work closely with investigators, engineers, product, policy, safety, and security teams, and measurement and forecasting

As a Technical Lead on Zoox's internal agentic platform, you will own end-to-end integration of a tool-centric agent runtime with external and internal agent clients, line of business backends, scheduled and interactive agent workloads, and cloud operations (Kubernetes, observability, secrets management). You will translate architecture and security intent into stable tool contracts, testable integration milestones, and repeatable releases, and you will be the primary engineer when issues sit at the boundary between product surfaces, platform services, and upstream systems. This role is platform and service integration for an agentic framework that mediates tools (discovery, invocation, policy, and telemetry). Success is measured by reliable tool call paths over HTTP, correct authentication and scoping, environment parity from dev through production, and clear ownership across partner engineering, security, and infrastructure teams. In this role, you will: Own and lead integration strategy and execution across hosted services, shared libraries, standardized tool protocols (e.g., JSON-RPC over HTTP), REST APIs, and diverse callers (vendor agents, consoles, automation workers). Drive cross-functional delivery with backend API teams, partner agent owners, security, SRE/platform, and program management, ensuring formal sign-off where required. Debug and root-cause complex failures using structured logs, distributed traces, metrics, and gateway/session-token behavior, documenting durable mitigations and runbooks. Define and review all integration artifacts (contracts, allowlists, registry config, environment matrices, and interface assumptions) that upstream and downstream teams implement against. Contribute to release gating by ensuring container image promotion, configuration/secrets posture, smoke path execution for high-traffic flows, and disciplined branching/tagging for production inte

WPP is the trusted growth partner for the world’s leading brands. We unite cutting-edge media intelligence and data solutions, world-class creativity, next-generation production, transformative enterprise solutions and expert strategic counsel in a single company – powered by exceptional talent and our agentic marketing platform, WPP Open, to help our clients navigate change, capture opportunity and deliver transformational growth. We work with the world's most valuable brands and have global reach across 100+ markets, with deep local expertise. Our people are the key to our success. We're committed to fostering a culture of creativity, belonging and continuous learning, attracting and developing the brightest talent, and providing exciting career opportunities that help our people grow. For more information, visit WPP.com. Why we're hiring: We are hiring an Accountant Analyst to support core general accounting and reporting activities within our Finance Shared Services environment. This role plays a key part in ensuring accurate financial records, strong controls, and timely month‑end close, while supporting continuous improvement and collaboration across Finance teams. What you'll be doing: Perform general ledger accounting activities, including journal entries, accruals, prepayments, and balance sheet reconciliations. Support month‑end, quarter‑end, and year‑end close activities in line with defined timelines. Ensure accurate and timely posting of accounting entries in the ERP system. Prepare and review balance sheet account reconciliations, identifying and resolving discrepancies. Ensure compliance with internal controls, SOX requirements, and audit standards. Maintain appropriate documentation and audit trails for internal and external audits. Support financial reporting and variance analysis, identifying unusual transactions or trends. Liaise with other Finance functions (PTP, OTC, Treasury, Tax) to resolve

The International Tax Director will execute all aspects of international tax including compliance, transfer pricing, and planning. The International Tax Director will manage a team of tax professionals, collaborate with external advisors, and work closely with finance, legal, and business units to support global tax initiatives. We are looking to speak to candidates who are based in Austin, TX for our hybrid working model. Key Responsibilities: Support IP and tax structure planning to maximize tax efficiency Direct global tax compliance Direct international quarterly and year-end accounting for income taxes (ASC 740). Direct international tax provisions for foreign statutory financials Execute the Company's global transfer pricing strategy and policy including monitoring controlled transactions, transfer prices and adjustments Prepare and maintain intercompany agreements and allocations Review the tax components of certain customer agreements Review business initiatives to determine the tax impact Direct corporate international tax research and interpretation Manage international tax audits Direct post-acquisition integrations Work closely with Treasury in managing cash globally Coordinate with outside tax consultants and contractors for various tax projects Qualifications: Education: Bachelor’s degree in Accounting, Finance, or a related field (CPA, MST or LLM (Taxation) preferred) Experience: 10+ years of progressive experience in corporate tax, with at least 5 years in a leadership role Strong compliance and planning experience in a multi-national, multi-entity environment including the areas of: BEAT, GILTI, FDII, Subpart F, OECD Pillar Two, Check the Box Principles, U.S. Tax Treaty Research and Interpretation, Intellectual and Intangible Property Planning, and Transfer Pricing Working knowledge of international taxation in Europe and Asia Skills: Understanding of SEC and GAAP reporting requirements Significant project m

About the team The Intelligence and Investigations team seeks to rapidly identify and mitigate abuse and strategic risks to ensure a safe online ecosystem in close collaboration with our internal and external partners. Our efforts contribute to OpenAI's overarching goal of developing AI that benefits humanity. This role focuses specifically on AI Safety: understanding and mitigating risks created or amplified by increasingly capable AI systems. It is not a cybersecurity, information security, or corporate security role. The Strategic Intelligence & Analysis (SIA) team provides safety intelligence for OpenAI’s products by monitoring, analyzing, and forecasting real-world abuse, geopolitical risks, and strategic threats. Our work informs AI safety mitigations, product decisions, and partnerships, ensuring OpenAI’s tools are deployed responsibly across critical sectors. About the role We are looking for a Frontier AI Risks Lead to help us understand potential harms and misuse of AI in a time of rapid, sustained change. We seek to understand how developments in AI could intersect with misuse and abuse, accelerating existing harm areas and creating novel risks. We seek to scan available signals and use strategic foresight methodologies to enable proactive detection and mitigation of frontier AI risks. This is an AI safety role focused on frontier and systemic risks, including model misalignment, recursive self-improvement (RSI), multi-agent interaction, loss of control, runaway agents, and related emerging failure modes. In this role, you will help provide a strategic-level perspective on a range of frontier AI safety areas, producing actionable understanding of issues relevant to OpenAI’s platforms, systems, and broader mission. Utilizing mixed quantitative and qualitative methodologies, you will spot early warning signs, pull threads on potentially concerning behavior, and turn weak signals into clear, prioritized risk calls. You will focus on upstream ecosystem sc

About the Team OpenAI’s Hardware organization develops system and infrastructure solutions optimized for advanced AI workloads. We collaborate across research, software, and external hardware partners to design and deploy next-generation AI systems at scale. Our team works closely with silicon vendors and system partners to evaluate emerging technologies, validate performance characteristics, and ensure that hardware capabilities translate effectively to real-world AI workloads. About the Role We are seeking a 3P Hardware Architecture Expert with deep expertise in GPU and accelerator architectures to engage directly with silicon vendors and guide hardware decisions for AI infrastructure. In this role, you will evaluate architectural tradeoffs across compute, memory, and interconnect systems, translating vendor specifications into real-world workload impact. You will play a critical role in early silicon evaluation, benchmarking, and performance validation, helping ensure that next-generation hardware meets the needs of our workloads. This role is highly hands-on and requires both deep technical understanding and the ability to engage at a high level with partners such as NVIDIA and AMD on architectural direction and design tradeoffs. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance. Key Responsibilities Engage deeply with silicon vendors (e.g NVIDIA & AMD) on GPU and accelerator architecture tradeoffs. Analyze and interpret performance, power, and efficiency characteristics of next-generation hardware. Translate vendor specifications into expected real-world performance for AI workloads. Evaluate architectural aspects including: compute throughput and utilization memory systems (HBM, cache hierarchies, bandwidth constraints) data types and precision tradeoffs (FP16, BF16, FP8, etc.) interconnect and scaling behavior. Run benchmarks and profiling to validate hardware performance a

About the Team OpenAI’s Hardware organization develops system and infrastructure solutions designed for the unique demands of advanced AI workloads. We work closely with research, software, and external hardware partners to shape the next generation of AI systems, from silicon through full-scale deployments. Our team focuses on understanding and optimizing performance across the full system stack—ensuring that architectural decisions are grounded in rigorous, quantitative analysis of real-world workloads. About the Role We are seeking a Performance Modeling Lead to build and lead a small, high-impact team responsible for answering forward-looking architectural questions across AI infrastructure systems. You will develop modeling frameworks and methodologies to evaluate system-level tradeoffs and guide key design decisions. Your work will directly influence reference architectures, vendor designs, and long-term infrastructure strategy. This role sits at the intersection of AI workloads, system architecture, and quantitative modeling, and requires strong technical judgment, ownership, and the ability to translate complex analysis into clear, actionable guidance. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance. Key Responsibilities Build and own a performance modeling framework/toolchain to evaluate AI systems across multiple levels of abstraction. Analyze and quantify architectural tradeoffs across compute, memory, networking, storage, and system topology. Develop performance models to guide decisions on: scale-up vs. scale-out architectures interconnect and network design memory hierarchy and system balance. Translate modeling outputs into clear recommendations for internal teams and external hardware vendors. Influence reference designs and vendor roadmaps through data-driven insights. Partner closely with machine learning, systems, and hardware teams to understand workload characte