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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 They're stuck with outdated banks and fragmented tools.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 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 is building AI systems that will shape the trajectory of one of the most consequential technologies in human history. That work requires physical infrastructure at significant scale, and building that infrastructure the right way means being a real, long-term partner to the communities where we operate. We are looking for a Community Engagement Manager in Indiana and Kentucky to join our Public Policy team and serve as Anthropic's on-the-ground presence in the communities where our data centers are sited, built, and operated. This is not a communications role or a government affairs role, though you will do elements of both. It is a relationship role: your job is to make Anthropic a trusted, visible, and valued neighbor, from the earliest stages of site selection through construction and long-term operations. You will be the connective tissue between Anthropic's Policy and Infrastructure teams and the local officials, community organizations, economic development partners, and residents who have a stake in what we build. You will surface concerns before they escalate, translate our technical and operational plans into clear local benefits, and build the coalitions that allow us to move quickly and responsibly. Because Anthropic's infrastructure footprint is still early in its growth, you will also help write the playbook: the processes you build in your first markets are the ones we will use as we expand. You will travel regularly within Indiana and Kentucky, up to 50% of the time, and occasionally to other Anthropic data center markets. Key responsibilities Build and maintain trusted, sustained relationships with county commissioners and councils, Kentucky fiscal courts and judge-executives, mayors and city councils, plan commissions and zoning boards, state and regional economic development organizations, community groups, civic leaders, educational institutions, and workforce partners in the Indiana and Kentucky data center markets you cover Develop and execute a community engagement strategy for each of your markets, spanning site selection, pre-development, construction, and ongoing operations Build external coalitions, host education and listening sessions, and design local solutions that deliver real benefits to the communities where we operate Represent Anthropic in public forums, town halls, planning hearings, community events, and local media Monitor community sentiment and local political dynamics, and advise internal teams on risks, opportunities, and the right pace and posture for engagement Partner with the Real Estate and Infrastructure team to bring community input into how projects are planned, communicated, and delivered, not just how they are announced Work with the Communications team to develop proactive, locally relevant messaging Coordinate charitable giving, community investment, and economic development commitments in your markets, including managing nonprofit partner relationships Partner with the Energy and Sustainability team to explain our approach to environmental stewardship and respond to questions about power, water, and land use, including how large electricity needs are served by local utilities and rural electric cooperatives Build a community engagement playbook and repeatable processes that scale as Anthropic's infrastructure footprint grows Minimum qualifications Experience in community affairs, public affairs, economic development, government relations, local or state government, or a closely related field Direct experience working for or engaging with county and municipal governments and a broad set of community stakeholders on behalf of large infrastructure, construction, energy, or technology projects, with a working understanding of how local politics and community dynamics actually play out A skilled relationship and coalition builder who earns trust with a diverse group of stakeholders, and who maintains relationships through difficult conversations The ability to represent a company credibly in public settings, including town halls, hearings, and press interviews Strong written and verbal communication skills, including the ability to turn a complex operational plan into plain language that a local official or reporter can understand and respond to The ability to work independently, get up to speed quickly on complex policy issues, and manage multiple concurrent engagements across different markets without losing track of any of them Based in Indiana or Kentucky or willing to relocate to one of them, and prepared to travel regularly across both states Preferred qualifications 7+ years of experience in community engagement specifically on data center, utility, energy, or large-scale industrial infrastructure projects, or in local government Familiarity with land use, zoning, and permitting processes at the county and municipal level in Indiana and/or Kentucky, including local tax abatement and incentive approvals Experience managing corporate social responsibility programs Established relationships with economic development, workforce, or civic organizations in the markets this role covers Experience working with real estate, legal, communications, and policy teams at the same time A genuine interest in the communities where you work, not just the projects you are managing 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: $265,000 — $295,000 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.

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 .

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. Your Location: This position needs to be based in the Beijing, China office 5 days a week. No Visa/Relocation Support.   The Community you will join: The Office Manager plays a critical role in delivering a seamless and welcoming office experience by coordinating daily office operations, supporting local leaders and employees, and ensuring the office is prepared to enable great work, connection, and gathering. This role partners closely with the country manager and several teams to ensure the office remains an effective, connected, and highly functional workplace. This role serves as a key coordinator across many teams including: Workplace Operations, vendors, Gathering, Security, IT, Office of the CEO, Mission Control and Employee Experience. The Office Manager helps ensure the office is consistently ready to welcome employees, leaders, guests, and visitors while supporting the experiences that bring Airbnb's culture to life. This role combines strong operational execution, hospitality, organization, and administrative coordination to create an environment where employees feel supported and connected. This role reports to the Country Manager and has dotted line accountability to the Regional Workplace Operations and Gathering Teams and will join team meetings.   The Difference You Will Make: As an Office Manager, you help bring Airbnb's culture to life through exceptional execution and service. You will coordinate daily office operations, support local leaders, facilitate gatherings and leadership visits, and serve as a trusted resource for employees and visitors. Through strong organization, hospitality, and attention to detail, you help create an office experience that feels welcoming, seamless, and connected. Success in this role requires excellent judgment, strong relationship-building skills, operational rigor, and a proactive approach to identifying and resolving issues before they impact the employee experience.   A Typical Day: Support the Office Experience Help ensure the office is welcoming, organized, and operationally ready each day. Serve as a visible and approachable presence for employees, visitors, and guests. Support day-to-day workplace experience programs and services. Monitor office needs and proactively address issues or escalate to global and regional counterparts as needed. Help maintain hospitality standards across office spaces, meeting rooms, and shared environments. Coordinate Office Operations Support the daily coordination of workplace operations, hospitality services, food programs, and office amenities. Partner with vendors and service providers to ensure consistent delivery of services and timely issue resolution. Monitor workplace conditions and employee feedback. Track office requests, operational issues, and follow-up actions. Identify opportunities for improvement and communicate recommendations to regional leader and global ops team. Maintain office documentation, communications, and operational processes. Support implementation of office standards and playbooks. Support office utilization reporting. Leadership & Administrative Support Serve as a trusted admin partner to the Country Manager. Provide calendar booking support, meeting coordination and room scheduling support for the Country Manager. Partner with executive administrative partners to coordinate logistics for leadership visits, executive meetings, and business gatherings. Serve as a local resource for employees and leaders navigating office services and resources. This role is not responsible for travel booking, expense management. This role only supports Country Manager diary/calendar support. Support Gatherings & Connection Coordinate logistics for local gatherings, leadership visits, and employee engagement activities. Support gatherings, leadership visits and employee engagement activities across the region as needed. Partner with the Workplace Operations team and Regional Gathering Manager to support successful delivery of events and connection moments. Ensure meeting spaces, hospitality elements, vendors, and attendee experiences are prepared and executed effectively. Support the delivery of connection and community-building experiences within the office by following global guidance and toolkits, while adapting them to local needs. Build Strong Relationships Develop positive working relationships with employees, leaders, Executive Assistants, vendors, and cross-functional partners. Support a culture of hospitality, responsiveness, and service. Gather employee feedback and share insights to improve the office experience. Help foster an environment where employees feel welcomed, informed, and connected. Your Expertise 5+ years of experience in office management, workplace experience, hospitality, events, administration, employee experience, or related fields. Strong organizational and project coordination skills. Experience coordinating meetings, events, leadership visits, or workplace programs. Excellent communication and interpersonal skills. Strong attention to detail and follow-through. Ability to manage multiple priorities and work effectively in a fast-paced environment. Hospitality mindset with a passion for creating positive experiences. Strong problem-solving skills and sound judgment. Experience partnering with vendors and cross-functional stakeholders is preferred. Full professional proficiency in English and Chinese   Reasonable Accommodations: We are committed to providing reasonable accommodations throughout the recruitment process for applicants with disabilities. If you need assistance, or an accommodation, please let your recruiter know once you are contacted about a role. A Note on Recruiting Scams: Scammers sometimes pose as Airbnb recruiters to get money or personal information from candidates. A few things that will always be true for Airbnb's hiring process: our open roles are posted on Airbnb's Career's Page at careers.airbnb.com, and our recruiters correspond only from @ airbnb.com or @ ext.airbnb.com email addresses. Our recruiters will never ask for your Social Security number, bank account details, passport, or payment app information while you are interviewing.  We'll also never ask you to pay a fee, send money, deposit or cash a check, or purchase work-related equipment (such as a company laptop) during the interview process. We encourage candidates to remain vigilant of these recruiting scams and not share sensitive information if you do not believe an individual is actually affiliated with Airbnb.  

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.

Senior Software Engineer Job Type: Contractor (~15 hours/week) Location: Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training project by creating reinforcement learning environments that evaluate AI models on complex software engineering tasks using Model Context Protocol (MCP) tools. You will design reproducible environments, deterministic verification, and reference solutions for tasks such as bug fixing, feature implementation, codebase refactoring, and performance optimization . No prior AI experience is required. Key Responsibilities Create reinforcement learning environments for software engineering tasks. Design tasks involving bug fixing, feature development, refactoring, and performance optimization . Build deterministic verification systems and golden reference solutions. Evaluate AI agents' ability to reason through complex codebases and use MCP tools effectively. Develop realistic, reproducible software engineering scenarios. Ensure tasks accurately measure coding ability, problem-solving, and tool usage. Document solutions and provide clear technical feedback. Required Skills Strong proficiency in Python 3, Java, Rust, C++, or TypeScript . Strong understanding of algorithms and data structures . Experience with bug fixing and debugging complex software issues . Proven experience in feature implementation and codebase refactoring . Strong knowledge of performance optimization and tuning . Excellent written and verbal communication. Strong attention to detail. Preferred Qualifications Experience working with large-scale or distributed codebases . Familiarity with AI/ML systems is a plus but not required. Experience with rigorous code reviews and software engineering best practices . Experience working effectively in remote or cross-functional teams. Hiring Process Submit an application and screening questions. Complete an AI interview (~30 minutes). Complete a technical assessment, if required. Hiring Manager review. Compensation Compensation is output-based , with payment provided per task that meets project specifications. Minimum weekly submission requirements may apply. Availability Selected experts should be prepared to begin their first tasks within 24?48 hours of completing onboarding .

Gestalte mit uns, wie Technologie Unternehmen verändert – und deine Karriere gleich mit. HSO gehört seit über 21 Jahren zum Microsoft Inner Circle – der exklusiven Top 1 % aller Partner weltweit – und wurde 26-mal als Microsoft Partner of the Year ausgezeichnet. Mit über 30 Jahren Erfahrung, 2.800 Mitarbeitenden aus 43 Nationen und 33 Standorten weltweit verbinden wir technologische Exzellenz mit tiefem Branchenverständnis. Wir gestalten die digitale Zukunft des internationalen Mittelstands und von Großunternehmen. Als treibende Kraft für digitale Transformation implementieren wir komplexe, globale Microsoft Dynamics 365 Multiworkload-Architekturen (Finance, Supply Chain, Manufacturing, CE). Dabei gehen wir neue Wege: Wir verknüpfen klassische Projektmethodik mit den modernsten KI- und AI-Werkzeugen , um Projekte schneller, transparenter und effizienter zum Erfolg zu führen. WAS DICH ERWARTET: Buchhaltung abbilden: Du arbeitest an Prozessen der Hauptbuch-, Debitoren-, Kreditoren- und Anlagenbuchhaltung sowie Planungs- und Liquiditätsthemen inkl. Konsolidierung und berücksichtigst HGB, IFRS und steuerliche Rechnungslegungsvorschriften. Finance-Prozesse gestalten: Du bringst dein Buchhaltungswissen in die Gestaltung von Finance-Prozessen ein und berücksichtigst die Zusammenhänge in einem integrierten ERP-System. Zusammenhänge verstehen: Du berücksichtigst fachübergreifende Prozesse und ihre Auswirkungen auf die finanziellen Ergebnisse. Intercompany-Prozesse gestalten: Du bringst deine Kenntnisse in konzerninterne Finance-Prozesse und Verrechnungen ein. Steuerprozesse berücksichtigen: Du beschäftigst dich mit Umsatzsteuer-Voranmeldungen, Zusammenfassenden Meldungen, Steuereinrichtungen und Außenhandelsgeschäften. Reporting: Du bringst deine Kenntnisse in den Bereichen Monats- und Jahresabschluss mit ein AI-Driven Consulting: Du nutzt aktiv modernste KI-Tools (z. B. Microsoft Copilot, generative KI für die Dokumentation und KI-gestützte Agenten) Im Team zusammenarbeiten: Du arbeitest teamorientiert, trittst sicher auf und gehst offen und dynamisch an neue Themen heran. WAS DICH AUSZEICHNET: Du hast ein abgeschlossenes BWL-Studium mit Schwerpunkt Rechnungswesen/Controlling oder eine kaufmännische Ausbildung mit relevanter kaufmännischer Berufserfahrung. Du bringst mindestens 3 Jahre praktische Erfahrung im Buchhaltungsalltag mit. Du hast ERP-Anwendungserfahrung aus dem Tagesgeschäft mit einem integrierten System und Finance-Hintergrund. Du verfügst über grundlegendes technisches Verständnis und verstehst fachübergreifende Prozesse und ihre Auswirkungen auf die Finance-Ergebnisse. Du bringst bundesweite projektbezogene Reisebereitschaft mit Du bist teamfähig, trittst sicher auf und bist dynamisch und offen für Neues. Du verfügst über sehr gute Deutsch- und gute Englischkenntnisse in Wort und Schrift. WAS WIR BIETEN: Result Orientation: Du arbeitest bei einem der global größten und erfolgreichsten Microsoft-Partner im Bereich Microsoft Dynamics 365 und treibst damit die digitale Transformation voran Self Determination: Bei uns steht die Kommunikation auf Augenhöhe im Mittelpunkt - mit deinen Ideen und Erfahrungen kannst du dich bei uns einbringen, eigenständig agieren und damit den Unternehmenserfolg aktiv mitgestalten Team Spirit: Da Menschen bei HSO den Unterschied machen, kannst du dich auf eine unterstützende, vertrauensvolle und wertschätzende Arbeitsatmosphäre freuen Learning & Growth: Wir werden dich mit Trainingsangeboten durch unsere hauseigene HSO Academy und externe Schulungspartner in Kombination mit einem individuellen Karrierepfad fördern Onboarding@HSO: Wir heißen dich in unserem Office in Böblingen willkommen - du startest deine ersten Onboarding-Tage bei uns vor Ort, um dich mit unserer Unternehmenskultur, unseren Prozessen und Tools vertraut zu machen Hybrid Workforce: Ohne festgeschriebene Kernarbeitszeit hast du die Möglichkeit flexibel bei Kunden vor Ort, aus deinem Homeoffice oder in unseren Offices in Böblingen, München, Nürnberg oder Chemnitz zu arbeiten Appreciation: Ein attraktives Gehaltsmodell inklusive 20 % Zuschuss zur betrieblichen Altersvorsorge, Mitarbeiterangebote, Bikeleasing, Gesundheitsförderung durch EGYM Wellpass, Geburtstagsgutscheine und außergewöhnliche Events runden dein HSO-Feel-Good-Paket ab Workation : Wir möchten unseren Mitarbeitenden mehr Flexibilität und Freiräume bieten, damit sie ihre Work-Life-Balance aktiv gestalten können. Daher hast du die Möglichkeit, bis zu 30 Tage im Jahr unter Einhaltung der rechtlichen Bedingungen aus der EU, dem EWR und der Schweiz zu arbeiten HSO fördert aktiv Vielfalt und Inklusion. Wir begrüßen Bewerbungen von allen qualifizierten Personen – unabhängig von ethnischer Herkunft, Hautfarbe, Religion, Geschlecht, sexueller Orientierung, Geschlechtsidentität, nationaler Herkunft, Behinderung oder Alter. Wir setzen uns für ein diskriminierungsfreies Arbeitsumfeld ein, in dem Chancengleichheit gefördert und die Unterschiedlichkeit jedes Einzelnen respektiert und wertgeschätzt wird. Find more English Speaking Jobs in Germany on Arbeitnow