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Flex is building the AI-native private bank for business owners . We're re-architecting the entire financial system for entrepreneurs—from the first dollar a business earns to how that value compounds, moves, and is ultimately spent in real life. Banking, credit, payments, personal finance, and financial operations—rebuilt from the ground up as a single, intelligent system. Flex is the full financial home for ambitious owners. Since launching publicly in September 2023 , Flex has scaled from zero to nine-figure annualized revenue , with a clear path to profitability by late 2026 . We move fast, ship relentlessly, and operate with extreme ownership. Our customers are affluent business owners ($3–$200M in revenue) —the backbone of the economy and one of the most underserved segments in finance. They're stuck with outdated banks and fragmented tools. We're replacing all of it. The opportunity is massive: a ~$1T+ revenue market hiding in plain sight. Our ambition is to build a $100B+ company by delivering a product that is fundamentally better—not incrementally improved. Flex has raised $100M+ in equity and $300M+ in debt. - Mission-critical problems : We build software that directly controls how money moves at scale. - High bar, low ego : Small teams, exceptional people, real ownership. - Speed over comfort : We prioritize execution, quality, clarity, and results. - Enduring impact : What we're building will define how a generation of owners runs their businesses. Team & Locations We hire exceptional people who want to build hard things and see their work matter immediately. Roles are available in: San Francisco, Miami, New York, and fully remote. Flex Fuels Ambition. About The Role This role owns IT and corporate engineering at Flex, end to end. It reports directly to the CTO. We think IT's job is enablement. The measure of this function is not how many tickets it closes or how many controls it can point at. It is whether everyone else at Flex can do their work faster and more safely than they could last quarter. A new hire productive on day one instead of day four. An engineer who gets exactly the access they need in minutes, without asking twice and without being handed the keys to everything. A team that can adopt a new tool because someone reviewed it properly, not because they routed around IT to buy it on a personal card. So we are not looking for a gatekeeper, or for someone whose default answer is no. The right person makes the safe path the easy path, and removes friction permanently instead of absorbing it repeatedly. Which is why this role also owns Flex's corporate security posture. Identity, access, endpoints, and the SaaS estate are one system, and the person who makes access fast should be the person who decides how much access is reasonable. Split those across two teams and employees route around both. You'll set conditional access and MFA policy, own privileged access and endpoint posture, and run third-party OAuth and Workspace grant review. Our security engineers own the product and infrastructure side, the money paths and the code, and you'll work with them constantly. Corporate security is yours to decide, not to implement on someone else's behalf. This is the hard part of the job, and we'd rather say so than leave it as a bonus line. The argument between moving fast and holding a line is now an argument you have with yourself. Day to day, what gets tightened, what gets mitigated, and what we knowingly accept is your call; the large ones come to the CTO, and we'd rather see a close call early than find out you decided it quietly. What we'd ask is that a no comes from a real read of the risk and the business context rather than a standard applied by default. The rest of the work has two halves. The IT half is the fleet, identity, access, the SaaS estate, and the joiner/mover/leaver process, delivered with help from a managed IT partner who handles procurement, device logistics, tier-1 support, and international coverage. You own that relationship, define the SLA, and enforce it. The corporate engineering half is the part we think makes this a good job: writing the automation and internal tooling that means the IT half doesn't scale linearly with headcount. If a process only works because a person runs it by hand every Tuesday, we'd rather you replaced it. You'd be inheriting an estate here, not starting one. The first year is as much untangling what has already accumulated - stale access, tools nobody reviewed, processes that work because someone remembers them - as it is building what comes next. Automate that assessment. Nobody should be reading through a SaaS estate by hand in 2026. Now the shape of this. Flex is around 150 people, and you would be the only person in this function, with vendor capacity underneath you and a direct line to the CTO. That means real autonomy and real scope from week one. It also means this is a hands-on senior individual contributor role, not a management role, and we are not planning a team under it in the near term. If you're looking to build and lead an IT organization right now, this isn't that job, and we'd rather you knew before you applied. We're looking for an IT and corporate engineering builder who wants to own security posture, rather than a security specialist willing to cover IT. Both halves have to interest you. If the enablement work reads as the price of admission for the security work, this will be a frustrating job. What You'll Do Own IT and corporate engineering end to end: the roadmap, the budget, the vendor relationships, and the outcomes. Manage our external IT partner as delivery capacity, not as a peer function. Define the scope, set the SLA, hold them to it, and own the escalation path when it slips. Design the joiner, mover, and leaver process and the entitlement model behind it. Make onboarding fast enough that a new hire is working on day one, and keep deprovisioning in-house and same-day, because it's the highest-consequence action in IT. Administer and improve our identity and productivity stack (Okta, Google Workspace, and the SaaS estate around them), including SSO, SCIM, and group and role design. Own operational policy: device standards, the access-request workflow, and SaaS onboarding and procurement review. Review tools before people buy them, and make that review fast enough that nobody wants to skip it. Build the automation. Provisioning, access reviews, asset and license reconciliation, and the internal tooling that removes recurring manual work across the SaaS estate. Run the endpoint and MDM program across a distributed, increasingly international company, and keep the fleet in a state you'd be comfortable showing an auditor. Own Flex's corporate security posture. Conditional access, MFA, session and device rules, and privileged access are yours to set. So is endpoint posture, and the review of third-party OAuth and Workspace grants that quietly accumulate at every company this age. Design and deliver the security awareness and training program. Not a once-a-year video, and not the version people click through with the sound off. Partner with our security engineers, who own product and infrastructure security. The line runs between corporate and product, not between operating and deciding. You'll bring them into identity decisions with blast radius, and they'll rely on you for provisioning data they can trust. Work closely with People, Finance, and Legal. Onboarding, offboarding, spend, and audit evidence all run through this function. Be a real internal service. Publish what you own, respond when people ask, and find the friction before it turns into a workaround. What Makes You A Great Fit You think IT exists to make other people effective, and you can point at specific friction you removed rather than tickets you closed. You write code. Not necessarily production services, but scripts, integrations, and glue that other people end up depending on. You'd rather fix the process than get faster at the workaround. You hold both sides of this honestly. You've said no to something that mattered, and you've also said yes to something a stricter version of you would have blocked, and you can explain both calls. You're comfortable being the only person in a function, and comfortable saying what you need instead of quietly absorbing it. You know you can't be in the loop on every request, and you don't want to be. You build the self-service paths that let people get what they need without going through you. You can hold a vendor accountable without turning the relationship adversarial. You can tell a colleague, including a senior one, that what they've built can't keep the access it has, explain why in plain language, and work alongside them to find a way that works. You're calm when something is broken and several people are watching. You explain technical constraints clearly to people who don't share your background, in writing, across time zones. What We're Looking For Substantial hands-on experience owning IT or corporate engineering at a growing company, including a stretch where you were the most senior person doing the work. Roughly [6+] years is typical, but we care about what you've owned, not the year count. Deep, hands-on ownership of an identity provider (Okta, Entra, JumpCloud, or similar) at the design layer: SSO, SCIM, SAML, group and entitlement modeling. Not just the admin console. Practical experience running Google Workspace or Microsoft 365 as a platform. Real MDM and endpoint experience across macOS, and ideally Windows, in a remote or hybrid company. Automation ability in at least one scripting or programming language (Python, Go, TypeScript, or similar), and comfort with APIs and identity plumbing. Experience designing an access model and running access reviews, not only fulfilling requests. Real ownership of identity security decisions, not only their execution. You've set MFA or conditional access policy, tightened privileged access, or cleaned up third-party app grants, and you can talk about what you traded away to do it. Track record managing an outsourced IT provider or MSP, or a clear-eyed view of why the ones you've worked with succeeded or failed. Clear written communication. Much of this job is asynchronous and cross-team. Strongly Preferred Experience in a regulated or audited environment (SOC 2, PCI, or a bank partnership), as the control owner rather than the auditor. Time as the senior security voice somewhere without a security team, or without a CISO to escalate to. Experience supporting employees and contractors across multiple countries, including device logistics and local employment platforms. Experience at a company that grew quickly enough that you had to replace your own early processes. Experience introducing AI tooling internally in a way that was actually adopted and actually governed. Interested? We'd love to hear from you At Flex, we value passion, determination, and honesty. Even if you don't fully match the job specifics, we encourage you to apply. Unusual career paths and unique skills can help you stand out. We believe diversity drives our success. Join us at jobs@flex.one Flex is an equal opportunity employer. We consider all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, marital or family status, pregnancy, genetic information, or any other characteristic protected by law. If you need an accommodation at any point in the process, tell us and we'll sort it out. Compensation Final compensation within this range will be based on experience, qualifications, and interview performance. This position is also eligible for equity compensation. Flex offers medical, dental and vision insurance, paid time off, and a 401(k) plan. Applications will be accepted on an ongoing basis until the position is filled. Additional Information Why Join Us Build something generational — Capture the full lifecycle of money for ambitious business owners. Work on real money, real risk — Payments, credit, and banking at serious scale. Solve hard problems — AI, underwriting, compliance, and global finance from first principles. True ownership — Small teams, high trust, real accountability. Founder-level exposure — Direct access to leadership, customers, and investors. High bar, high taste — Move fast without cutting corners. Elite peers — People here are builders, not tourists. Real upside — Meaningful equity if you help build something big.

As an Inbound Sales Representative at A Place for Mom , you'll be the trusted first point of contact for families searching for senior care solutions. In this high-impact sales role, you'll use empathy, insight, and strategic guidance to help caregivers as they explore the best care options for their loved ones. Responsibilities: What you will do Work in a growing, fast-paced industry as an expert resource for families on senior care options, delivering an exceptional experience aligned to our company mission Take inbound, pre-screened leads working remotely from your home office as an inside sales representative, working an assigned shift with strong schedule adherence Conduct in-depth initial consultation calls with families Educate families on customized senior care options, and work to find the senior living communities and home care providers that best match their needs Act as the liaison between families and senior housing communities or care providers once you successfully complete the 4 week new hire training program What will make you successful: Success is measured by reaching daily production benchmarks (inbound calls and outbound return calls), which consists of referring families out to communities and scheduling tours for them to ultimately drive move-ins. As a Welcome Advisor you will be the company's first interaction with a family with the goal of being empathetic to their situation and delivering a great family experience. Qualifications Two or more years of experience in inside sales/inbound call center History of exceeding sales targets Ability to multitask; simultaneously talk on the phone and take notes on the computer Strong computer and typing skills necessary, including Word and Excel and ability to learn and navigate internal CRM system Schedule You will work a 40-hour work schedule on an hourly, non-exempt basis. Schedules are set based on business needs, and may include regularly scheduled evenings and weekends, along with some holiday shifts during the year. Compensation Base Salary: $45,760 ($22.00 an hour) On Target Earnings: $74,000 ($28,240 variable bonus (Uncapped) Benefits: 401(k) plus match Dental Insurance Health Insurance Vision Insurance Paid Time Off #LI-JR1 About A Place for Mom A Place for Mom is the leading platform guiding families through every stage of the aging journey. Together, we simplify the senior care search with free, personalized support — connecting caregivers and their loved ones to vetted providers from our network of 15,000+ senior living communities and home care agencies. Since 2000, our teams have helped millions of families find care that fits their needs. Behind every referral and resource is a shared goal: to help families focus on what matters most — their love for each other. We're proud to be a mission-driven company where every role contributes to improving lives. Caring isn't just a core value — it's who we are. Whether you're supporting families directly or driving innovation behind the scenes, your work at A Place for Mom makes a real difference. Our employees live the company values every day: Mission Over Me : We find purpose in helping caregivers and their senior loved ones while approaching our work with empathy. Do Hard Things : We are energized by solving challenging problems and see it as an opportunity to grow. Drive Outcomes as a Team : We each own the outcome but can only achieve it as a team. Win The Right Way : We see organizational integrity as the foundation for how we operate. Embrace Change : We innovate and constantly evolve. Additional Information: A Place for Mom has recently become aware of the fraudulent use of our name on job postings and via recruiting emails that are illegitimate and not in any way associated with us. APFM will never ask you to provide sensitive personal information as part of the recruiting process, such as your social security number; send you any unsolicited job offers or employment contracts; require any fees, payments, or access to financial accounts; and/or extend an offer without conducting an interview. If you suspect you are being scammed or have been scammed online, you may report the crime to the Federal Bureau of Investigation and obtain more information regarding online scams at the Federal Trade Commission. All your information will be kept confidential according to EEO guidelines. A Place for Mom uses E-Verify to confirm the employment eligibility of all newly hired employees. To learn more about E-Verify, including your rights and responsibilities, please visit www.dhs.gov/E-Verify .

The Role Forward is one of the fastest growing embedded finance companies in the US - launching exciting new products that accelerate how businesses operate.   We need a  Senior Manager, Risk & Compliance Operations , someone who owns both the operational cadence that keeps the three Onboarding, Transaction Monitoring, and Merchant Maintenance pods running smoothly and the governance frameworks that make human judgment scale.  You will: Run the weekly ops rhythm across Onboarding, Transaction Monitoring, and Merchant Maintenance pods: cadence, SLAs, escalation triage, cross-pod handoffs Design and own the control framework that backs up operational discipline: Risk Appetite Statement, Delegation of Authority, Control Inventory, L2 Governance Build policy as a living operational tool, not a checkbox: Risk Assessment, Underwriting, Sanctions, Merchant Termination policies that the ops team follows Establish partner and merchant risk assessment  Partner with the pod leads on risk judgment and policy interpretation. You are the operational anchor they escalate to. You make the strategic frameworks operational and the operational team disciplined. What You'll Own Operational Cadence & SLA Management Own the RCO weekly rhythm: scheduled standup across three pods, escalation triage, decision log, blockers surfaced to Leadership. Set and track pod-level SLAs: time to first touch, case resolution cycles, dispute response time, payout cycles. Flag when pods are out of SLA and escalate root cause to Leadership. Lead escalation triage: when a case doesn't fit a pod's workflow (fraud incident, high-risk merchant, regulatory escalation), determine ownership, timeline, and approval chain Coordinate cross-pod handoffs: Onboarding to TM to Merchant Maintenance flows; ensure no merchant falls through the cracks between pods Build and maintain case routing logic: which cases go to which pod, when, and under what conditions. It evolves as the business scales. Control Framework Design & Implementation Own the Risk Appetite Statement: define Forward's risk thresholds (acceptable fraud loss rate, decline rate, chargeback rate, AML false positive rate) with Leadership and Finance; operationalize them as SLAs the pods follow Build the Delegation of Authority (DOA) Matrix: tier-by-tier approval authorities for merchant boarding (by size, risk, industry), limit exceptions, high-risk overrides, and settlement decisions; ensure segregation of duties Complete and maintain the Control Inventory: currently 60 to 75% built. Finish the gap, document each control, map to risk categories and regulatory requirements, and establish testing cadences. Lead the L2 Governance Framework deployment: the dual-control review layer now shipping for automated decisioning at scale. Own the policy layer, threshold tuning, escalation matrix, and integration with the decisioning engine. Establish standing audit management: PCI, sponsor bank, and network audits currently scramble for evidence under deadline. Build continuous audit evidence and a control testing calendar. Policy Ownership & Documentation Own core operational policies as living documents: Risk Assessment Policy (merchant tiering, boarding criteria, EDD triggers) Underwriting Policy (approve, decline, or conditional decision-making) Sanctions and KYC/KYB Policy (compliance execution) Merchant Termination Policy (escalation, conditions, offboarding) Incident Response Policy (fraud outbreaks, regulatory notifications, SARs) Ensure policies are enforced: policies only work if the team follows them. Flag gaps when they appear, own remediation, and align pod leads on policy interpretation. Build policy as a scaling lever: as acquiring volume scales 3x, policy governs merchant risk tiering, real-time monitoring thresholds, chargeback and dispute handling, network escalation, and merchant suspension procedures Partner & Merchant Risk Assessment Stand up a repeatable partner risk assessment process: Forward has handled complex partner decisions ad hoc. Document a standardized Partner Risk Classification Framework, assessment checklist, and escalation path. Own merchant risk classification: maintain the risk scoring methodology, tier definitions, and triggers for Enhanced Due Diligence, conditions, or termination. Keep scoring consistent and validated. Lead high-risk merchant oversight: when a merchant crosses a risk threshold, own the escalation decision and represent Risk's position in business discussions about continued boarding or processing Fraud & Incident Response Establish fraud governance: define acceptable loss rate thresholds and incident response procedures for fraud outbreaks (organized networks, account takeover campaigns) Partner on transaction monitoring tuning: work with the Data Scientist and the TM pod to design and validate TM rules, tune false positive rates, and make sure alerts surface appropriately Manage fraud incidents: lead investigation, containment, and remediation of significant fraud events, and ensure regulatory notification requirements (SARs) are met Pod Lead Partnership Be the operational anchor for pod leads: The pod leads escalate judgment calls, process questions, and policy interpretation to you Align on risk judgment: when a pod lead is unsure whether a high-risk merchant should be conditionally approved or declined, help them reason through the decision using the control framework Drive cross-pod consistency: three independent pods can drift toward three risk philosophies. Enforce consistency through policy, cadence, and escalation discipline.   Required Qualifications 5+ years in risk operations, fraud operations, or compliance operations at a fintech, payments, or banking organization, with direct experience building operational discipline (SLAs, escalation matrices, control frameworks) from a partial or immature state Deep knowledge of payments and risk: KYC/KYB, transaction monitoring, AML/BSA, chargeback and dispute processes, merchant risk tiering, network program rules Control framework experience: documented experience building or operating a risk appetite statement, control inventory, DOA matrix, or L2 governance framework Leadership as a service: comfortable leading through process, policy, and cadence rather than hands-on execution; able to mentor others on judgment calls without doing the work yourself Data-literate: comfortable reading risk dashboards, SLA reports, loss reports, and SQL queries; can spot anomalies that signal emerging risk Communication: clear written and oral communication for internal audiences (exec team, board, pod leads) and external audiences (auditors, regulators) Operational rigor: you build systems that work consistently. SLAs are not aspirational, escalation paths are predictable, and policy is enforced. Preferred Qualifications Experience at a scale payments provider  Prior fraud or incident command experience: led or co-led investigation and remediation of fraud outbreaks or significant operational incidents Experience building or scaling operational systems: moved from ad hoc to repeatable process, and built playbooks that actually get followed Financial crime background: fraud, money laundering, account takeover, and designing controls that catch organized schemes early Banking or embedded finance exposure: deposit account operations or consumer protection rules What We Offer Competitive salary and equity package. Comprehensive health, dental, and vision benefits. Flexible work arrangements and generous PTO. Learning & development budget for conferences, courses, and certifications. The opportunity to define the ML architecture and model governance standard at a payments company scaling 45x - building from rules-based to model-driven decisioning across merchant risk, real-time transaction fraud, and AML. Location Austin, TX

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 largest and fastest-growing infrastructure fleets in the industry — 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 one of Anthropic's largest areas of spend. 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. Utilization improvements are worth enormous sums at our scale. 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 exabyte 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.

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 largest and fastest-growing infrastructure fleets in the industry — 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 one of Anthropic's largest areas of spend. 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. Utilization improvements are worth enormous sums at our scale. 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 exabyte 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.

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 largest and fastest-growing infrastructure fleets in the industry — 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 one of Anthropic's largest areas of spend. 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. Utilization improvements are worth enormous sums at our scale. 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 exabyte 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.

About Lucid At Lucid, we are creating exceptional mobility experiences through innovation to drive the world forward. Built on Lucid's proprietary technology and software-defined vehicle architecture, our award-winning vehicles bring our "Compromise Nothing™" approach to the global automotive market. That means refusing to choose between performance and sustainability, design and engineering, ambition and integrity. In Lucid Air and Lucid Gravity, we have designed and built vehicles that have redefined their segments, combining exceptional range, performance, design, and expansive space in a single experience.   We achieve this through deep vertical integration, with design, engineering, and production happening in-house across our global offices and manufacturing facilities. Our teams come from industries around the world, united by a shared commitment to excellence. By refusing to settle, you can help redefine what's possible and shape the future of mobility. Position Overview: The Sr. SAP Specialist, Finance is the functional lead and subject-matter expert for SAP S/4HANA Finance and Controlling solutions. The role partners with Finance, IT, and implementation teams to translate business requirements into scalable, integrated, and compliant solutions that enhance financial operations, reporting accuracy, cost visibility, and decision-making. This position leads functional design, delivery, testing, go-live readiness, user adoption, system stabilization, and continuous improvement across the SAP finance landscape.   Responsibilities: Serve as the functional subject-matter expert for SAP S/4HANA Finance and Controlling, providing guidance on solution design, configuration, and process optimization. Own SAP S/4HANA Finance and Controlling solution design, configuration governance, functional specifications, and traceability from requirements through deployment. Support end-to-end Record-to-Report, Accounts Payable, Accounts Receivable, Asset Accounting, Cost Center Accounting, Internal Orders, Profit Center Accounting, Material Ledger, Actual Costing, Product Costing, and Margin Analysis processes. Ensure effective integration with SAP MM, SD, and PP modules and relevant external systems, including banking and tax solutions. Coordinate finance workstream activities, timelines, risks, dependencies, status updates, and issue resolution across business, IT, and implementation partners. Coordinate testing, defect resolution, business validation, data migration, reconciliation, cutover, go-live readiness, hypercare, and post-go-live stabilization. Ensure compliance with internal controls, segregation of duties, approval workflows, statutory requirements, and audit-readiness standards. Collaborate with Finance stakeholders to improve process efficiency, reporting, cost transparency, margin analysis, and SAP-enabled business insights. Maintain functional documentation and deliver training that supports user adoption and sustainable solution ownership.   Skills: Deep functional expertise in SAP S/4HANA Finance and Controlling, including GL, AP, AR, Asset Accounting, Bank Accounting, Cost Center Accounting, Internal Orders, Profit Center Accounting, Product Costing, Material Ledger, Actual Costing, and Margin Analysis. Strong understanding of end-to-end finance and manufacturing processes, including procure-to-pay, order-to-cash, plan-to-produce, and financial close. Strong knowledge of Universal Journal, Fiori applications, role-based access, internal controls, audit trails, and approval workflows. Experience integrating SAP Finance and Controlling with MM, SD, PP, banking platforms, tax engines, and other external systems. Ability to translate complex business requirements into scalable, compliant system solutions and clear functional specifications. Strong troubleshooting, root-cause analysis, testing, data reconciliation, stakeholder management, and communication skills.   Minimum Qualifications: Bachelor's degree in finance, Accounting, Business, Computer Science, Information Technology, or a related field. 5+ years of relevant SAP Finance and Controlling experience, including at least 3 years leading teams or major SAP workstreams. Proven experience delivering at least one end-to-end SAP S/4HANA implementation from design through go-live and stabilization. SAP S/4HANA Finance or Controlling certification is preferred. PMP, ITIL, or relevant architecture certification is preferred. Automotive or complex manufacturing experience is preferred. Experience with ServiceNow, Jira, SAP Cloud ALM, Microsoft Office, and Power BI is preferred. Compensation & Benefits:   Lucid offers a comprehensive and competitive  benefits package  including medical, dental, and vision insurance; life and disability coverage; paid time off; paid holidays, paid sick leave; and a 401(k) retirement plan. Hourly/non-exempt employees accrue up to 120 hours paid time off, and salaried/exempt employee accrue up to 160 hours paid time off.  Eligible employees may also participate in Lucid's equity program and/or a discretionary annual cash incentive program. Incentive and equity awards, if applicable, are determined based on individual performance, role scope, market considerations, and overall company results, in accordance with the terms of the applicable plans.   Equal Opportunity: At Lucid, we believe diversity strengthens everything we build. Lucid Motors is proud to be an equal opportunity employer and is committed to providing an inclusive workplace for all. We consider all qualified applicants without regard to race, color, national or ethnic origin, age, religion, disability, sexual orientation, gender, gender identity or expression, marital status, or any other characteristic protected by applicable state or federal laws and regulations.   Accessibility:  Lucid Motors is committed to providing reasonable accommodations for qualified individuals with disabilities. If you need any accommodation to participate in the application process, please contact us at  TA-Operations lucidmotors.com . This email address is designated solely for accommodation requests and is not monitored for job applications or resume submissions. To be considered for employment, all applications must be submitted through the Lucid Motors Careers website. Candidate Data Privacy:  By submitting your application, you understand and agree that your personal data will be processed in accordance with our  Candidate Privacy Notice .   To all recruitment agencies: Lucid Motors does not accept agency resumes. Please do not forward resumes to Lucid Motors. Lucid Motors is not responsible for any fees related to unsolicited resumes.    

About Lucid At Lucid, we are creating exceptional mobility experiences through innovation to drive the world forward. Built on Lucid's proprietary technology and software-defined vehicle architecture, our award-winning vehicles bring our "Compromise Nothing™" approach to the global automotive market. That means refusing to choose between performance and sustainability, design and engineering, ambition and integrity. In Lucid Air and Lucid Gravity, we have designed and built vehicles that have redefined their segments, combining exceptional range, performance, design, and expansive space in a single experience.   We achieve this through deep vertical integration, with design, engineering, and production happening in-house across our global offices and manufacturing facilities. Our teams come from industries around the world, united by a shared commitment to excellence. By refusing to settle, you can help redefine what's possible and shape the future of mobility. Position Overview: The Payroll Specialist is responsible for managing end-to-end payroll operations across Saudi Arabia and the UAE, ensuring accurate, timely, and compliant payroll processing. The role serves as the primary liaison between HR, Finance, employees, the U.S. Payroll team, and the third-party payroll support provider, while also supporting the transition to a new integrated payroll system.   Key Responsibilities:  Manage the monthly payroll cycle, including main payroll and off-cycle processing. Collect, validate, and consolidate payroll inputs, including new hires, terminations, attendance, salary changes, allowances, deductions, and employee data updates. Prepare payroll input files and perform payroll calculations, reconciliations, and validations using Excel-based processes. Coordinate payroll processing activities with the third-party provider in line with payroll calendars and deadlines. Review payroll outputs, investigate discrepancies, and ensure corrections are completed before finalization. Act as the primary contact between HR, Finance, employees, the U.S. Payroll team, and the third-party provider. Administer payroll-related benefits, including ticket allowances, education allowances, and other employee payments in accordance with company policy. Process off-cycle payroll activities, including adjustments, bonuses, commissions, urgent payments, and End-of-Service settlements. Prepare payroll journals, WPS payment files, reconciliations, and payroll reports for HR, Finance, management, and other stakeholders. Maintain payroll records, support internal and external audits, and identify opportunities to improve payroll processes, controls, efficiency, and accuracy. Support the implementation and rollout of the new payroll system across the Middle East region, including requirements gathering, testing, data validation, issue resolution, and post-go-live stabilization.   Minimum Qualifications: Bachelor's degree in human resources, Finance, Accounting, Business Administration, or a related field (or equivalent practical experience). 1–2 years of hands-on payroll processing experience, specifically managing Saudi Arabia and/or UAE payroll (multi-country GCC payroll experience preferred). Demonstrated managing full payroll cycles including off-cycle runs, End-of-Service (EOS) settlements, and WPS submissions. Prior experience working with a third-party payroll provider/outsourced payroll model. Experience supporting a payroll system implementation or migration is a plus. Compensation & Benefits:   Lucid offers a comprehensive and competitive  benefits package  including medical, dental, and vision insurance; life and disability coverage; paid time off; paid holidays, paid sick leave; and a 401(k) retirement plan. Hourly/non-exempt employees accrue up to 120 hours paid time off, and salaried/exempt employee accrue up to 160 hours paid time off.  Eligible employees may also participate in Lucid's equity program and/or a discretionary annual cash incentive program. Incentive and equity awards, if applicable, are determined based on individual performance, role scope, market considerations, and overall company results, in accordance with the terms of the applicable plans.   Equal Opportunity: At Lucid, we believe diversity strengthens everything we build. Lucid Motors is proud to be an equal opportunity employer and is committed to providing an inclusive workplace for all. We consider all qualified applicants without regard to race, color, national or ethnic origin, age, religion, disability, sexual orientation, gender, gender identity or expression, marital status, or any other characteristic protected by applicable state or federal laws and regulations.   Accessibility:  Lucid Motors is committed to providing reasonable accommodations for qualified individuals with disabilities. If you need any accommodation to participate in the application process, please contact us at  TA-Operations lucidmotors.com . This email address is designated solely for accommodation requests and is not monitored for job applications or resume submissions. To be considered for employment, all applications must be submitted through the Lucid Motors Careers website. Candidate Data Privacy:  By submitting your application, you understand and agree that your personal data will be processed in accordance with our  Candidate Privacy Notice .   To all recruitment agencies: Lucid Motors does not accept agency resumes. Please do not forward resumes to Lucid Motors. Lucid Motors is not responsible for any fees related to unsolicited resumes.    

We're hiring a Payroll Specialist in Singapore to assist with our Singapore and India payroll operations, ensuring that every employee is compensated accurately, punctually, and in strict accordance with local laws and regulations. You are a highly motivated and detail-oriented individual looking to work in a dynamic, collaborative, and innovative environment, where your contributions will make a significant impact. Whether you're looking to learn from the best or be the best, the People team is dedicated to furthering personal development and team success.  At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You'll Do: Payroll Processing Leave Administration  Maintain Time and Attendance processes Making sure Singapore's Central Provident Fund and India's Employees' Provident Fund, Employees' State Insurance, Professional Tax are being remitted on time Onboarding and Offboarding  Ad Hoc projects Who You Are: You want to work in a team and for a tech company where it's energetic, growth-focused, and every day feels purposeful. You have an in-depth understanding of payroll regulations spanning multiple countries, including Singapore, India and Indonesia would be ideal but not all necessary. You love to delve into data, be it timesheets or leave accruals. Working knowledge of setting up, configuring, and deploying new payroll systems and implementing payroll in a new country. Proficiency in using payroll software and systems. Experience with an outsource provider, Workday, or similar platforms is preferred. Intermediate proficiency in Excel or Google Sheets, eager to learn how to manage large datasets and create formulas and functions. Exposure to Sarbanes-Oxley (SOX) requirements as applicable to the payroll function. Your keen eye for detail is matched only by your organizational prowess. Your agility allows you to excel both independently and as a team player. AI-fluent, with a track record of spotting where AI tools can streamline processes and drive efficiency gains. Comfortable evaluating and applying AI to repetitive or high-volume payroll work. Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you're passionate about technology and want to grow your skills, we encourage you to apply. Benefits and Growth:  New hire stock equity (RSU) and employee stock purchase plan (ESPP) Continuous professional development, product training, and career pathing  Intra-departmental mentor and buddy program for in-house networking  An inclusive company culture, opportunity to join our Community Guilds Generous and competitive benefits package Continuous career development and pathing opportunities  Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog. #LI-Hybrid About Datadog:  Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram , LinkedIn, and Datadog Learning Center. Equal Opportunity at Datadog: Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference.  Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form . This form is for accommodation requests only and cannot be used to inquire about the status of applications.  Privacy and AI Guidelines: Any information you submit to Datadog as part of your application will be processed in accordance with Datadog's  Applicant and Candidate Privacy Notice . For information on our AI policy, please visit Interviewing at Datadog AI Guidelines .

Banyan Software is the best permanent home for software businesses that serve specialized industries, their employees, and their customers. With a buy-grow-and-hold-for-life approach and a permanent capital base, Banyan acquires and grows companies worldwide, honoring founder legacies and helping portfolio companies modernize through shared AI expertise and operational discipline. Founded in 2016, Banyan operates more than 120 portfolio companies across North and South America, Europe, and APAC, and has appeared on the Inc. 5000 list for six consecutive years. The Banyan Software Foundation, endowed with $100 million in Banyan stock, leverages technology to build a greener and more equitable world. About BeQuick BeQuick is the OSS/BSS platform that mobile virtual network operators run their businesses on. Founded in 2002 and part of the Banyan portfolio, BeQuick handles the operational core of a wireless carrier: subscriber lifecycle, rating and billing, provisioning and activation, payments and dunning, taxation and regulatory fees, customer care workflows, retail and dealer channels, and the reporting that tells an operator where its margin actually is. Roughly 30 active MVNO clients depend on the platform daily, including prepaid and postpaid operators, Lifeline providers, faith-based and affinity brands, and enterprise IoT plays. The product suite spans Fusion (core OSS/BSS), Connect (converged billing, including ISPs and WISPs), Orbit (subscriber and dealer portals), Echo (multi-tenant IVR), and Vector. The team is about 15 people, fully remote, and unusually senior for its size. BeQuick has been an early and aggressive adopter of agentic AI in engineering, support, and commercial work, and is recognized inside the Banyan portfolio for it. This is a switching-cost business in the truest sense. Customers do not casually replace the system that bills their subscribers. That durability is real, and it comes with an obligation: the platform has to keep up with carrier requirements, regulatory change, and what operators now expect software to do for them. The Opportunity You would own the whole business: strategy, product direction, go-to-market, team, and P&L. You report to a Banyan Operating Partner and have full operational authority over how you run the company day to day. The mandate: Grow recurring revenue in a market where the buyer universe is finite and every new logo is a competitive displacement or a launch you help stand up. Protect retention and pricing power. Revenue is concentrated in a handful of large accounts. Managing that concentration, both by defending those relationships and by widening the base under them, is a core part of the job, not a footnote. Push the product forward on an AI-first thesis. BeQuick sits on the transaction, usage, and margin data for millions of subscriber-months. Turning that into wholesale margin intelligence, churn prediction, and automated care is the clearest path to structural advantage. Expand adjacent. Converged billing for ISPs and WISPs, and other subscriber-billing markets that share the same operational spine, are open ground. Own the carrier and regulatory surface. Carrier partnership diligence, enterprise security questionnaires, and compliance posture land on the CEO's desk in a company this size. Who You Are You have run a P&L in telecom, and you know this market from the inside. You have sat on the operator side of an MVNO agreement, or built the systems that make one work, and you can tell the difference between a wholesale deal that looks good and one that actually clears. You are technical enough to be dangerous, but you are not here to write code. You can read an API spec, interrogate a data model, hold your own in a carrier integration call, and tell when an engineering estimate is optimistic. You have a Head of Development and a strong engineering team. You need to lead them, not do their jobs. You are comfortable being the primary commercial voice: negotiating your own MSAs and renewals, walking into a carrier's supplier review, and presenting to a board without a chief of staff assembling the deck for you. And AI is not a slide in your strategy deck. It has already changed how you think about where value comes from and what your product should become. Qualifications Required Executive experience (CEO, COO, CRO, CPO, GM, or SVP-level) at an MVNO, MVNE, or MVNA, or at a company selling directly into them. Direct P&L ownership with accountability for growth, net revenue retention, and margin. Working fluency in wireless operations: wholesale carrier economics, activation and provisioning, rating and mediation, number porting, eSIM and BYOD, device financing, dealer and retail channels. Practical command of the regulatory environment: CPNI and Section 222, CALEA, STIR/SHAKEN, USF and state regulatory fees, 10DLC, and the post-ACP Lifeline landscape. Technical literacy sufficient to make credible build-versus-buy calls and to be a real counterpart to an engineering leader. Demonstrated use of AI in a product, in a business, or both, with a clear point of view on where it creates durable value versus where it is theater. Track record leading a small, senior, fully remote team. Strongly preferred Has led a company or business unit through a repositioning, pricing redesign, or platform transition before the market forced it. Experience with B2B SaaS in a concentrated-customer environment, including how to grow out of concentration rather than just survive it. Hands-on carrier relationship management with T-Mobile, Verizon, or AT&T wholesale organizations. Familiarity with telecom tax and compliance engines, and with the operational reality of migrating between them. Nice to have ISP, WISP, or fixed wireless billing exposure. M&A experience, either as an acquirer of small software assets or as an operator inside an acquired company. Transition and Support The incoming CEO will have a structured handover with the outgoing CEO, including an advisory period to transfer client, carrier, and Banyan relationships. Details to be finalized. Why a Banyan Operating Company A permanent home, not a portfolio play. Banyan buys, holds, and grows software companies for life, and never resells. No three-to-five-year clock, and no pressure to optimize for an exit at the expense of long-term value. Autonomy with backing. How you run the business is your call. Banyan provides capital, shared services, and a network of operating partners, and does not dictate how you build your team, price your product, or run go-to-market. A peer network. A community of portfolio company CEOs working the same problems: AI adoption, product-led growth, talent density, and durable recurring revenue in specialized markets. Legacy and continuity. Banyan preserves the brand, identity, and culture of the companies it acquires. You are building on a foundation that will be protected, not consolidated or stripped for parts. Diversity, Equity, Inclusion & Equal Employment Opportunity at Banyan: Banyan affirms that inequality is detrimental to our Global Teams, associates, our Operating Companies, and the communities we serve. As a collective, our goal is to impact lasting change through our actions. Together, we unite for equality and equity. Banyan is committed to equal employment opportunities regardless of any protected characteristic, including race, color, genetic information, creed, national origin, religion, sex, affectional or sexual orientation, gender identity or expression, lawful alien status, ancestry, age, marital status, or protected veteran status and will not discriminate against anyone on the basis of a disability. We support an inclusive workplace where associates excel based on personal merit, qualifications, experience, ability, and job performance. Please Note : Banyan Software does not accept unsolicited resumes or applications submitted via email, LinkedIn, or other direct channels. All candidates must apply through our official Careers site to be considered for employment. Applications submitted outside of our applicant tracking system will not be reviewed. Recruitment Notice Banyan Software may use artificial intelligence (AI) tools to assist in screening and/or assessing applicants during the recruitment process. All hiring decisions are made by our team. Personal information submitted through your application will be collected and used for recruitment purposes in accordance with applicable privacy laws. Contact us at any time with questions about our process or to request accommodation. Beware of Recruitment Scams We have been made aware of individuals fraudulently posing as members of our Talent Acquisition team and extending fake job offers. These scams may involve requests for personal information or payment for equipment. Protect yourself by following these steps: Verify that all communications from our recruiting team come from an @banyansoftware.com email address. Remember, employers will never request payment or banking information during the hiring process. If you receive a suspicious message, do not respond — instead, forward it to careers@banyansoftware.com and/or report it to the platform where you received it. Your safety and security are important to us. Thank you for staying vigilant.

Founded in 2001, Fed Finance specializes in temporary and permanent recruitment for accounting and finance roles. Our consultants are all experts and speak your language. We are committed to working alongside you to support you throughout your job search and at every stage of your career. Mission I am looking for a senior accountant for an insurance company on Montreal?s South Shore Your responsibilities will include: -Participating in monthly, quarterly, and annual financial closings, as well as in the preparation of consolidated financial statements. -Perform account reconciliations, analyze variances, and ensure the accuracy of financial data. -Prepare working papers and supporting documentation required for audits. -Conduct financial analyses and contribute to management reports to support decision-making. -Ensure compliance with accounting standards, internal controls, and established procedures. -Participate in the improvement and automation of accounting processes. -Participate in the implementation of processes using artificial intelligence. -Contribute to financial transformation projects, particularly acquisitions and the integration of new entities. Your profile Your Profile: -CPA required -3 to 7 years of experience in accounting or financial reporting. -Strong knowledge of IFRS and generally accepted accounting principles. -Proficiency in financial close processes, account reconciliations, and financial analysis. -Advanced proficiency in Excel and a good understanding of ERP systems. -Demonstrate attention to detail, independence, and excellent analytical skills. -Demonstrate strong communication and organizational skills. -Be able to manage multiple priorities in a dynamic and constantly evolving environment. -Show initiative and a strong interest in continuous improvement. What we offer: -35-hour workweek -Hybrid work model (2 to 3 days of remote work) -Annual bonus -Group insurance -RRSP -8 personal days -3 weeks of vacation

Advance medical billingDo you like analyzing data, structuring ways of doing things, transforming complex information into concrete solutions and actively contributing to daily operations? Join the Society of Physicians of the University of Sherbrooke (SMUS) and contribute directly to the improvement of medical billing processes that support more than 550 doctors in their practice.We are looking for a rigorous, analytical and proactive person who will play a key role with our medical billing teams. This resource will work under the supervision and in close collaboration with operations management.Your contributionOperations support ? Collaborate on a daily basis with the billing teams, respond to physicians, contribute to their support, meetings and integration, and keep the reference documents for each specialty up to date.Analysis and decision support ? Analyze billing data and remuneration options in order to support physicians in their decisions.Processes and internal control ? Contribute to the improvement of processes and carry out certain internal controls.Regulatory monitoring ? Participate in the analysis of RAMQ updates and the communication of main changes.Reports and monitoring tools ? Produce analyzes and statistical reports to support management of the operations. the employer reimburses 50% of the prescription drug insurance premium.A retirement plan ? Generous employer contribution (5% after 3 months and 7.5% after 10 years)Significant leave ? 9.6 paid wellness days and 13 public holidays.Support and team life ? Employee assistance program and varied social activities throughout the year.The desired profileBachelor's degree in administration, finance, accounting or a relevant field, as well as a minimum of two years of experience; an equivalent combination of training and experience may be considered.Experience in medical billing is an important asset.Strong analytical skills, rigor, curiosity and sense of investigation.Great communication skills and ability to popularize complex concepts.Ability to effectively manage several files simultaneously.Excellent proficiency French.Good command of Excel, including formulas and pivot tables, as well as good data analysis skills.