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Location: Remote (U.S.) Workplace: Remote The Company: Outschool’s mission is to inspire kids to love learning. In our fast-changing world, the traditional educational system struggles to meet the diverse and evolving needs of young learners. Outschool reimagines this system, offering flexible and engaging learning experiences as a supplement and alternative to traditional education. By connecting learners with a global community of teachers and peers through our online platform, we make learning personal, dynamic, and deeply human. We've made significant strides since launching our marketplace of live online classes in 2017. Finding initial success with secular homeschoolers, we then expanded to enrichment learning to meet the needs of a wider audience, growing our business 16x since 2019. Post-pandemic, we have evolved our platform to power academic learning, incorporated AI, and have begun to grow our international community. We're proud to have served over 1.5M passionate learners with more than $100M in annual bookings. Driving disruptive, positive change in education is rewarding and hard. Outschool team members are encouraged to challenge themselves, take risks, and grow in their careers. We look for talented people whose sense of urgency, innate curiosity, and determination to drive impact will help Outschool achieve outsized results in pursuit of our mission. We invite you to be part of an ambitious team dedicated to ensuring every learner can navigate the future with curiosity, resilience, and a love of learning. The Role Outschool is growing its Finance team and is looking for a driven FP&A and Strategic Finance Manager to join our team. The ideal candidate will have demonstrated FP&A experience setting and owning a budget, maintaining a forecast, building financial & operating models, and has a proven track record of working closely with business partners to help make sound financial decisions. You will join Outschool as a critical member of the team as we build and expand the sophistication of our financial processes which will enable us to effectively scale our business. You’ll work collaboratively with members of every team at Outschool as a strategic finance partner. You'll partner in our budgeting and reporting process and help our team to measure performance. You ideally have experience in assisting in the development of comprehensive budgets and an ability to help leaders become more fluent in financial strategy. Core Responsibilities: - Support our company-wide budgeting and forecasting processes in collaboration with stakeholders across the organization in order to drive accountability and exceptional results - Assist in maintaining a forward-looking financial model that accurately predicts performance and can be used to drive long-term growth - Partner in the tracking of financial & operational performance metrics that allow Outschool to scale and grow - Provide reporting and data-driven insights to our team, board, and investors on a monthly, quarterly, and annual basis - Collaborate on key growth initiatives by assisting our marketing leads to scale new buyer acquisition and track customer acquisition costs (CAC), as well as be a trusted partner to our supply-side and international growth teams Desired Experience & Skills: - 5+ years of experience scaling FP&A efforts, owning budgets, and managing key stakeholder relationships - A track record of building financial and operating models for a growth-stage business - Demonstrated experience shaping and implementing financial strategies for public and/or private companies - An aptitude and motivation to frame finances in the context of mission and social impact - Exceptional communicator with ability to present complex concepts, recommendations and analyses to business leaders in a clear, concise and actionable manner - An ability to think differently and the bravery to act on it. You push against the status quo because you see the gap between the opportunities of the future, emerging finance trends, and current practices - Experience building materials and providing detailed reports and metrics to leaders - A data-centric mind with an ability to dive deep into the details of our business to make the right judgment calls - The ideal candidate has a sense of urgency to their work, and brings a proactive approach to identifying areas of opportunity for the Finance team and overall business - Areas of experience that will be essential for success in this role include Revenue Forecasting and work supporting the analysis of LTV/CAC while partnering with our Marketing team Other Considerations: - A plus if you have an investment banking background - A plus if you have experience and understanding of large-scale online marketplaces or business - A plus if you have experience in both B2C and B2B companies Compensation: Outschool recruits across the US and Canada, and sets employee salaries to reflect local compensation and cost of living. In addition to base compensation, this role is eligible for equity and benefits. Additional details are provided during the interview process. This role is available in the following US Pay Zones: US Tiers US Tier 1: San Francisco Bay Area, New York City, and Seattle Metro US Tier 2: All California excluding San Francisco Bay Area, Boston Metro, Chicago Metro, Denver Metro, Austin Metro, Portland Metro US Tier 3: All other cities and states US Pay Zones US Tier 1: $220,500 - $245,000 US Tier 2: $187,425 - $208,250 US Tier 3: $165,375 - $183,750 Benefits & Culture: At Outschool, we believe that taking care of one another enables us to do our best work. To us that means: - Shared Financial Success: Competitive salaries, stock options, and retirement plans. - Health: Comprehensive medical, dental, vision, disability, and life insurance. - Wellness: Annual wellness stipend, access to coaching & therapy, and pet wellness plans. - PTO & Family Benefits: Generous PTO and family leave policies. - Hybrid & Remote-Friendly: Outschool has a distributed team across the U.S. and Canada and an office in San Francisco. Bay Area-based employees work in the office part of the week and receive commute-related benefits. Team members outside the Bay Area remain fully remote, with support for expensable home office setup and internet to stay connected no matter where you are. - Lifelong Learners: Annual budgets for professional development and DEI learning; budgets for children to take Outschool classes. - Community Impact: Outschool matches employee donations to eligible charities and supports Outschool.org http://Outschool.org’s nonprofit programs. Outschool is an equal opportunity employer. We view diversity as a moral imperative and competitive advantage. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We plan and structure our interviews to directly assess skills and experience. If you require a reasonable accommodation to participate in the job application or interview process, please contact recruiting@outschool.com.   Benefits packages are included for full-time employees only. Please note benefits and perks may vary for employees based outside of the US and Canada.   Full-time employees must be a citizen or legal residents of the U.S. or Canada and reside in U.S. or Canada, unless specifically indicated otherwise.   Once you submit your application, Outschool will process your personal data to evaluate your candidacy for employment. Unless specifically indicated otherwise, we hire employees only in the U.S. and Canada. Applicants else where should be aware that we may discard your application upon submission or we may ask if you would like us to retain it later should there be consideration (this is not typical at all). If you are selected for interviewing, your data will be shared with interviewers and personnel involved in that process. If not hired, your application will be retained for one year in case there is another suitable role. You may opt out of this at any time. Please see our Employee/Applicant Privacy Notice https://outschool.com/pages/privacy-Emp for more detailed information. If applicable, as you progress through the process, we will be clear about what information is being asked for and what happens with that information.

Location: Remote - US Who we are At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to remote-first work , and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. . Hiring and how we work We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions! Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings. . See yourself at Twilio Join the team as Twilio’s next Commercial Finance Manager, Carrier Relations About the job Join the Finance team supporting carrier supplier negotiations and wholesale trading transactions. In this role, you will lead the financial assessment of complex  agreements, shape commercially sound deal structures, and deliver clear recommendations to executive decision-makers. While Carrier Relations leads the direct supplier negotiations, you will serve as their strategic Finance partner—owning the deal economics, mitigating financial risk, and ensuring approval quality. Responsibilities In this role, you’ll: Lead financial diligence for complex and high-value carrier agreements and relevant wholesale transactions across, including those with nonstandard commercial structures. Evaluate pricing, margin, regulatory pass-through fees, commitments, payment terms, cash flow impacts, and other sources of financial exposure. Build and review deal models and scenarios that show how proposed terms perform under changes in volume, traffic mix, rates, and other key assumptions. Recommend structures and negotiation guardrails based on the analysis. Partner with Carrier Relations, Routing Operations, and other stakeholders to drive resolution of financial deal decisions, document trade-offs, and move deals through the appropriate approval path. Escalate material exceptions to executive committees with a clear recommendation. Own the design and continuous improvement of the Deal Desk Finance process, including required inputs, review steps, approval guardrails, exception handling, and handoffs. Establish standardized deal models and analysis practices, and define business requirements for Salesforce or other enterprise workflows. Partner with Systems and business teams on solution design, testing, and adoption. Track key commitments and deal assumptions after signature, identify emerging exposure, and use actual performance to improve future deal decisions and guardrails. Identify recurring deal themes, risks, and opportunities, and translate them into practical improvements to policy, process, and commercial strategy. Coach senior analysts on modeling, financial judgment, and executive recommendations. Partner with the Finance Director to build and refine how the Carrier Deal Desk operates. Qualifications Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table! *Required: 8+ years in commercial finance, strategic finance, procurement finance, pricing, Deal Desk, or a related analytical role involving complex commercial agreements. Strong financial modeling skills and the judgment to independently evaluate supplier economics, test assumptions, assess risk, and recommend a course of action. Demonstrated experience leading the financial strategy for high-stakes vendor negotiations, including structuring pricing, volume commitments, cash flow terms, and mitigating nonstandard commercial risks. Ability to influence senior stakeholders across Finance and commercial teams, communicate financial trade-offs clearly, and move ambiguous decisions toward resolution. Experience establishing analytical standards, financial guardrails, or approval processes and coaching other analysts as a senior individual contributor. Strong working knowledge of Salesforce or similar workflow systems and enterprise financial systems; Oracle experience is a plus. Desired: Strongly preferred: Experience with telecommunications carriers, CPaaS, wholesale messaging or voice, or carrier relations, including familiarity with carrier pricing, routing economics, supplier agreements, and volume-based commercial structures. Spanish or Portuguese language skills are a plus. Location This role will be remote, but is not eligible to be hired in San Francisco, CA, Oakland, CA, San Jose, CA, or the surrounding areas. Travel We prioritize connection and opportunities to build relationships with our customers and each other. For this role, you may be required to travel occasionally to participate in project or team in-person meetings. What We Offer Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location. Compensation *Please note the salary range information provided applies only to candidates residing in California, Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, New Jersey, New York, Vermont, Washington D.C., and Washington State due to local requirements. Compensation for candidates in other locations will be discussed during the hiring process. Please note that hiring for this role is not restricted to the locations listed above. The estimated pay ranges for this role are as follows: Based in Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, Vermont or Washington D.C. : $96,640 - $120,800. Based in New York, New Jersey, Washington State, or California (outside of the San Francisco Bay area): $102,240 - $127,800. Based in the San Francisco Bay area, California: $113,600 - $142,000. This role may be eligible to participate in Twilio’s equity plan and corporate bonus plan. All roles are generally eligible for the following benefits: health care insurance, 401(k) retirement account, paid sick time, paid personal time off, paid parental leave. The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location. Applications for this role are intended to be accepted until 01/01/2027 but may change based on business needs. Twilio thinks big. Do you? We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call Twilio Magic . Additionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts. So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn't what you're looking for, please consider other open positions. . Stay alert to recruitment fraud We care about your safety. Scammers sometimes impersonate Twilio recruiters through fake job postings, emails, websites, or messages. Please ensure you are engaging with an official @ twilio.com email address. We will never ask for payment, gift cards, cryptocurrency, or banking information during the recruiting process. We do not make job offers without a formal interview process or conduct interviews exclusively through text-based messaging apps. . Twilio is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.

Location: New York, United States Who We Are At OKX, we believe the future will be reshaped by crypto and blockchain technology. We operate a leading global crypto platform and build products and services designed to expand access to the digital-asset ecosystem. Across our global organization, we value ownership, sound judgment, collaboration, innovation, and the ability to operate effectively in a fast-moving and continuously evolving environment. Recruiting should insert the current approved OKX corporate “Who We Are” language when the position is posted. About the Team The Fraud Investigations Team (FIT) is a First Line of Defense function within OKX’s Risk organization responsible for identifying, assessing, investigating, and helping manage significant internal and external fraud risks affecting the company, its customers, personnel, and operations. FIT conducts and supports complex investigations involving digital assets, internal and external fraud, employee misconduct, insider threats, unauthorized access or misuse of information, vendor and third-party misconduct, account compromise, social engineering, collusion, conflicts of interest, and other significant fraud-related matters. The team works closely with Legal, HR, Information Security,Engineering, Physical Security, Compliance, Finance, Operations, and other functions across OKX. About the Opportunity We are looking for an experienced Senior Analyst, Blockchain Investigations & Fraud Intelligence to join FIT. This is first and foremost a blockchain investigations role requiring significant hands-on expertise tracing digital assets across complex blockchain ecosystems. The successful candidate must be capable of independently conducting sophisticated on-chain investigations, developing and testing attribution hypotheses, identifying relationships among wallets and entities, following assets through multiple chains and protocols, and translating highly technical blockchain activity into clear investigative findings. Blockchain analysis is a specialized investigative discipline. Accordingly, we are seeking someone who understands not only how to operate commercial tracing platforms, but also the underlying blockchain architecture, transactional mechanics, attribution methodologies, clustering techniques, tracing limitations, and evidentiary considerations necessary to reach reliable conclusions. The role extends beyond on-chain analysis. The Senior Analyst will combine blockchain intelligence with enterprise data, system logs, transactional records, open-source information, and other evidence to support complex fraud and insider-risk investigations. The position will also provide analytical support to the Global Physical Security Team (PST) on selected protective-intelligence and threat-assessment matters. The Senior Analyst will directly manage one Analyst and will be expected to serve as a subject-matter resource for blockchain investigations and analytical methodology across FIT. What You’ll Be Doing Blockchain Investigations & Digital-Asset Intelligence Lead and conduct complex blockchain investigations and transaction tracing across multiple wallets, counterparties, entities, blockchains, tokens, protocols, and digital-asset ecosystems. Trace the origin, movement, conversion, layering, consolidation, and ultimate disposition of digital assets , including activity spanning multiple intermediaries and blockchain environments. Conduct investigations using tools such as Chainalysis Reactor , TRM Labs, Elliptic, or comparable blockchain intelligence platforms , while understanding the methodologies and limitations underlying platform-generated attribution. Analyze activity involving centralized exchanges, self-hosted wallets, decentralized exchanges, cross-chain bridges, mixers, privacy-enhancing technologies, DeFi protocols, smart contracts, stablecoins, NFTs, OTC activity, gambling platforms, and other relevant ecosystems . Trace assets across multiple chains and cross-chain transactions , identifying continuity of funds where technically supportable and clearly documenting assumptions or limitations where definitive attribution is not possible. Analyze transaction graphs, address relationships, behavioral patterns, clusters, counterparties, timing, amounts, transaction sequencing, and other relevant blockchain indicators. Understand and appropriately apply wallet-clustering and attribution methodologies , including the limitations and potential for false attribution associated with particular heuristics. Independently evaluate blockchain intelligence rather than relying solely on automated labels, risk scores, or vendor-generated attribution. Corroborate on-chain findings, where appropriate, with internal account records, KYC / KYB information, transaction data, access information, open-source intelligence, legal-process returns, or other available evidence . Identify relationships among blockchain addresses, OKX accounts, external counterparties, individuals, organizations, vendors, affiliates, and other relevant entities. Reconstruct complex transaction flows and create clear fund-flow diagrams, transaction maps, timelines, and visualizations that allow investigators and nontechnical stakeholders to understand the movement of assets. Analyze blockchain activity associated with suspected fraud , theft, account takeover, social engineering, insider activity, collusion, payment diversion, asset misappropriation, or other misconduct . Identify new wallets, counterparties, entities, or transactional patterns that may generate additional investigative leads. Clearly document the methodology, assumptions, confidence level, and limitations associated with blockchain findings. Distinguish between confirmed attribution , vendor attribution, analytical inference, behavioral similarity, and an unverified investigative hypothesis . Avoid presenting blockchain proximity, exposure, clustering, or a commercial risk score alone as proof of ownership, control, intent, or misconduct. Maintain current knowledge of emerging blockchain technologies, protocols, tracing methodologies, obfuscation techniques, fraud typologies, and developments affecting blockchain attribution or investigations . Fraud Investigations & Investigative Intelligence Conduct and support investigations involving internal and external fraud , employee misconduct, insider threats, vendor and third-party misconduct, collusion, conflicts of interest, asset misappropriation, unauthorized access, credential misuse, and other significant fraud risks . Combine blockchain findings with off-chain evidence to develop a comprehensive investigative picture rather than treating blockchain activity in isolation . Develop investigative hypotheses and objectively test those hypotheses against available evidence, including information that supports, contradicts, or fails to establish the hypothesis. Conduct timeline reconstruction, link analysis, relationship mapping, pattern analysis, clustering, and comparative analysis across individuals, accounts, wallets, devices, systems, transactions, and entities. Support investigations involving account takeover, impersonation, social engineering, business-email compromise, payment diversion, affiliate misconduct, and trusted-party abuse , particularly where a digital-asset, employee, vendor, or enterprise nexus exists. Analyze vendor, affiliate, partner, and other third-party activity for indicators of billing irregularities, undisclosed relationships, conflicts of interest, unusual payments, control circumvention, or other potential misconduct. Support investigative interviews by developing transaction timelines, identifying inconsistencies or information gaps, organizing evidence, and identifying appropriate areas for follow-up. Enterprise Data & Insider-Risk Analytics Analyze appropriately authorized information including system and access logs, authentication records, audit trails, customer-account activity, KYC / KYB information, transaction records, payment information, case-management records, vendor information, and relevant security telemetry . Correlate blockchain activity with enterprise data to identify possible connections among wallets, accounts, employees, customers, vendors, devices, transactions, and other relevant entities . Support investigations involving suspected unauthorized access, information misuse or exfiltration, credential compromise, control circumvention, unauthorized disclosure, or abuse of privileged access. Identify anomalous behavior or access patterns that may warrant additional investigation. Develop repeatable analytical methodologies capable of processing and correlating information from disparate systems. Use appropriate scripting, database querying, data visualization, and analytical technologies to efficiently analyze large or complex datasets. Investigative Reporting & Evidence Prepare clear, concise, and well-supported blockchain investigation reports, investigative memoranda, executive summaries, transaction-flow diagrams, link charts, timelines, and other analytical products . Explain complex blockchain concepts and transaction activity in plain language suitable for investigators, senior management, Legal, regulators, or law enforcement , as appropriate. Clearly distinguish among allegations, investigative leads, known facts, third-party attribution , analytical judgments, assumptions, information gaps, and substantiated conclusions . Ensure analytical conclusions are proportionate to the evidence and do not imply greater certainty than the underlying blockchain or other data supports. Maintain sufficient documentation to allow significant blockchain findings to be reviewed, reproduced, and understood by another qualified analyst . Preserve and handle investigative records in accordance with applicable evidence-preservation, chain-of-custody, confidentiality, privacy, access-control, and need-to-know requirements . Support appropriately authorized law-enforcement, regulatory, litigation, or legal matters in coordination with the appropriate company functions. Protective Intelligence & Physical Security Support Provide analytical support to PST on selected matters involving threats or concerning activity directed toward employees, executives, offices, events, or other company interests. Conduct authorized open-source, link, timeline, blockchain, financial, or other analytical research where relevant to understanding the identity, relationships, capabilities, or activity associated with a potential threat. Assist in evaluating available information relating to credibility, corroboration, intent, capability, access or opportunity, targeting, escalation, timing, and other relevant indicators . Prepare objective analytical products identifying known facts, analytical judgments, material information gaps, uncertainties, and appropriate confidence levels. Support PST’s assessment while preserving PST’s responsibility for protective-security decisions and operational response . Leadership & Development Directly manage and develop one Junior Analyst, including work allocation, coaching, technical development, quality assurance, and review of analytical work product . Serve as a FIT subject-matter resource for blockchain investigations and on-chain analytical methodology . Review blockchain analysis for technical accuracy, appropriate methodology, corroboration, reasonable attribution, and evidentiary support. Train and mentor junior personnel in transaction tracing, blockchain intelligence platforms, analytical reasoning, documentation, and investigative methodology. Help establish consistent standards for blockchain investigations, attribution , documentation, quality assurance, and reporting . Participate in time-sensitive investigations affecting a global organization, including occasional work outside normal business hours when required. What We Look For In You 7+ years of relevant investigative or analytical experience , with meaningful professional experience specifically conducting cryptocurrency or blockchain investigations . Demonstrated hands-on expertise independently conducting complex blockchain tracing investigations , rather than solely reviewing blockchain alerts or commercial risk scores. Advanced proficiency with one or more blockchain intelligence platforms such as Chainalysis Reactor , TRM Labs, Elliptic, or comparable technology . Strong understanding of how blockchain intelligence platforms derive attribution, clustering, exposure, and risk information—and the limitations associated with those methodologies . Demonstrated understanding of blockchain fundamentals, including wallets and addresses, transactions, UTXO and account-based models, tokens, smart contracts, block explorers, transaction fees, confirmations, and blockchain-specific transactional structures . Strong understanding of digital-asset ecosystems including centralized exchanges, self-hosted wallets, DeFi , DEXs, stablecoins, cross-chain bridges, mixers, privacy-enhancing mechanisms, and other relevant technologies . Demonstrated ability to trace assets across multiple chains, protocols, and intermediaries and recognize when technical limitations prevent definitive continuity or attribution. Experience conducting transaction-graph analysis, wallet attribution , clustering, counterparty analysis, transaction-flow reconstruction, and investigative link analysis . Ability to critically assess blockchain attribution and distinguish among technical facts, commercial vendor intelligence, analytical inference, and unsupported assumptions . Experience integrating blockchain intelligence with off-chain evidence and enterprise information to develop investigative conclusions. Strong knowledge of fraud-investigation principles including corroboration, source evaluation, evidence preservation, timeline development, hypothesis testing, and documentation. Experience analyzing large or complex datasets and familiarity with tools such as SQL , advanced Excel, Python, Splunk, or comparable data-analysis technologies . Ability to clearly explain technically complex blockchain findings to audiences that may have little or no blockchain expertise. Strong investigative writing skills and demonstrated ability to produce accurate, concise, and defensible analytical products. Sound judgment and ability to work effectively where evidence is incomplete, conflicting, or evolving. Demonstrated discretion when handling sensitive employee, customer, investigative, security, or company information. Demonstrated experience mentoring, supervising, or reviewing the work of junior analysts or investigators. Nice to Haves Experience conducting blockchain investigations within a cryptocurrency exchange, blockchain analytics company, law-enforcement agency, regulatory organization, financial institution, intelligence function, or investigative consulting environment . Experience investigating digital-asset matters involving fraud proceeds, theft, account compromise, insider activity, social engineering, asset tracing, or complex cross-chain movement . Experience supporting asset recovery, law-enforcement referrals, subpoenas/legal process, civil litigation, regulatory inquiries, or other matters requiring defensible blockchain analysis . Experience investigating insider threats, employee misconduct, unauthorized access, data exfiltration, credential compromise, vendor fraud, conflicts of interest, or trusted-party abuse. Experience with OSINT, digital forensics, enterprise logs, security telemetry, or identity and access-management information . Experience creating custom blockchain analytics through APIs, SQL , Python, blockchain explorers, node data, or other raw-data sources , rather than relying exclusively on commercial graphical interfaces. Relevant blockchain-specific training or certifications, including certifications associated with Chainalysis , TRM Labs, or comparable blockchain-analysis platforms . Professional certifications such as CFE, CFCS, CAMS, GIAC, or comparable investigative, fraud , financial-crime, cybersecurity, or intelligence credentials . What Success Looks Like Success in this role requires significantly more than knowing how to enter an address into a blockchain analytics platform. The successful candidate should be able to receive a complex transaction, wallet, allegation, or investigative question and independently determine how to trace the activity, which chains and protocols are involved, what the available data establishes, what additional information is needed, what attribution can reasonably be made, and where the technical or evidentiary limitations prevent a definitive conclusion . The individual should be able to move seamlessly between on-chain and off-chain evidence , recognizing that a blockchain transaction may establish movement of assets without necessarily establishing the identity, knowledge, intent, or conduct of the person behind a wallet. They should also be capable of converting a highly technical blockchain investigation into a concise and defensible explanation that an investigator, attorney, executive, regulator, or law-enforcement partner can understand and act upon. At the same time, this person must be sufficiently versatile to apply the same investigative discipline to internal fraud , insider risk, enterprise data, third-party misconduct, and protective-intelligence matters when required. The hierarchy is much clearer this way: blockchain investigations are the specialized core competency; fraud /investigative intelligence is the broader mission; enterprise analytics and PST support are complementary capabilities. That should materially improve the candidate pool versus a title that makes blockchain expertise appear interchangeable with general data analytics. OKX Statement: OKX is committed to equal employment opportunities regardless of race, color, genetic information, creed, religion, sex, sexual orientation, gender identity, lawful alien status, national origin, age, marital status, and non-job related physical or mental disability, or protected veteran status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. The salary range for this position is $143,000 - $214,000 The salary offered depends on a variety of factors, including job-related knowledge, skills, experience, and market location. In addition to the salary, a performance bonus and long-term incentives may be provided as part of the compensation package, as well as a full range of medical, financial, and/or other benefits, dependent on the position offered. Applicants should apply via OKX internal or external careers site. Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the team Anthropic's Security Governance, Risk, and Compliance (GRC) team is the connective tissue that holds the company accountable to its security commitments. We translate regulatory, customer, and voluntary obligations into controls that teams act on, and give leadership a bird's-eye view of how well we're meeting them. We're building toward a fundamentally different kind of GRC: one that directs Claude, with the right humans in the loop, to challenge and evidence the performance of controls continuously rather than through periodic audits. Within Security GRC, Compliance & Audit Programs runs the integrated audit across our frameworks and maintains the Common Control Framework, the single set of controls that the whole program is built on. This role sits in Audit & Assurance and owns the framework and the assurance view across every control domain. About the role As part of the Security Audit & Controls team,  you will own the CCF across every control domain, from access and change management to logging, encryption, and people controls: which controls we have, what each one says, how each maps to the frameworks and commitments we hold, and whether each one is actually working. You'll work with control owners and GRC Partners to draft and validate control descriptions and activities that describe reality rather than policy intent, build the monitoring that shows operating effectiveness continuously instead of once a year, and drive what monitoring finds to closure with control owners. Building with Claude is a normal part of the job: drafting and mapping controls, testing evidence, and monitoring control health, with you deciding where human judgment stays in the loop. This is an individual contributor role for someone who works well independently, writes clearly, and gets satisfaction from a control set that is accurate, tested, and trusted by auditors and engineers alike. Key responsibilities Own the Common Control Framework: the canonical control set, its mappings to SOC 2, ISO 27001/42001, HIPAA, FedRAMP, and customer commitments, and the change process for adding, retiring, or rewording controls Draft and validate control descriptions and control activities with control owners, so each control states who does what, how often, in which system, and what evidence proves it Design and run continuous monitoring of control efficacy: define the metrics and automated tests that show operating effectiveness, tune out false positives, surface failures to owners before an auditor does, and build the controls maturity model that shows where each control domain stands and what it takes to move up a level Verify remediation and carry it into steady state: GRC Partners lead remediation in their domains and control owners implement the fixes. This role advises on control design and implementation, confirms fixes against what the auditor actually asked for, and keeps one source of truth for control and finding status. Once a fix holds, it works with the partner to standardize the evidence pull and, where appropriate, automate it or build continuous Map new frameworks and commitments onto the CCF as we commit to them, and support gap assessments when a new framework, certification, product, or entity comes into scope, using the CCF as the baseline and writing the requirements for each delta Support the integrated audit and customer audits: readiness checks, walkthrough preparation, evidence request lists, and the readout of external findings back to GRC Evaluate evidence reliability, including the completeness and accuracy of system-generated reports and AI-generated evidence, and set the standard for what audit-ready evidence looks like here Build with Claude: automate control mapping, evidence testing, and monitoring, and verify machine-drafted control language before it becomes the record Minimum qualifications Several years in IT audit, security compliance, or controls assurance, including hands-on ownership of a control framework or control library across more than one framework (for example SOC 2, ISO 27001, FedRAMP, HIPAA) Working command of audit mechanics: scoping, walkthroughs, sampling, design versus operating effectiveness, deficiency evaluation, and evidence reliability Experience writing control descriptions, control activities, and test procedures that other teams and external auditors relied on Experience with continuous controls monitoring or automated evidence collection, whether you built it, ran it, or audited it Enough technical fluency to read a runbook, a configuration, or a pipeline definition and judge whether it enforces what the written control claims Clear writing, because your control language and status reports are what auditors, engineers, and leadership work from Ability to get control owners and partner teams to prioritize and close work without having authority over them Preferred qualifications Have designed or rebuilt a common controls framework and led the remapping of existing frameworks onto it Have stood up continuous controls monitoring or automated evidence programs and can speak to coverage, false-positive rates, and what changed as a result Have applied LLMs to assurance work, such as control drafting, framework mapping, evidence testing, or monitoring Have defined or assessed controls for AI systems or agents operating in production, or for home-built internal systems Have provided requirements for a homegrown GRC platform and worked with the engineers who build it You don't need to Have done everything on this list. The scarce combination this role exists for is framework ownership plus the judgment to tell whether a control actually works Write production code. The bar is fluency sufficient to read, query, and challenge Hold every certification. CISA, CISSP, or similar are welcome and not required Have prior AI-industry experience Logistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. 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. Deadline to apply: None. Applications will be received on a rolling basis. 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: $270,000 — $345,000 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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: New York City Office Workplace: OnSite COMPANY DESCRIPTION Today, when you go to your doctor and get referred to a specialist, your doctor sends out a referral and tells you, “They’ll be in touch soon.” So you wait. And wait. Sometimes days, weeks, or even months. Why? Because too often providers are overwhelmed with the painstakingly tedious work required to get paid by insurance companies. Powered by proprietary models, Tennr handles the complex paperwork that gets patients through the door and providers paid, helping operators get patients the right care, at the right time, in the right setting. ROLE DESCRIPTION We’re looking for a high-agency Senior Backend Engineer to bridge the gap between cutting-edge ML research and real-world product delivery. You’ll design and build agentic workflows that power complex healthcare processes to solve hairy infrastructure, workflow, and UX challenges in U.S. healthcare. This role involves creating data pipelines, evaluation harnesses, and scalable production-grade agentic systems. You’ll be responsible for researching the right tools and models, ensuring we always use the best-fit technology for each workflow.. As part of our ML team, you’ll work hand-in-hand with researchers to translate new techniques and insights into production-ready systems. The ideal candidate has full-stack engineering experience, hands-on expertise with LLM APIs, and a proven track record of deploying AI systems into production. You’ll work across the stack - from data collection to training pipelines to AI agent orchestration to frontend integration - bringing cutting-edge AI solutions to life in real-world healthcare environments. RESPONSIBILITIES As a Senior Backend Engineer on the ML team at Tennr, you’ll bridge the gap between cutting-edge ML research and real-world product delivery. You’ll help build agentic systems that use LLMs, and vision models, and structured automation to solve hairy infrastructure, workflow, and UX challenges in U.S. healthcare. - Ship full-stack AI systems end-to-end - Design resilient systems for model deployment, evaluation, and monitoring that stay reliable as traffic grows. - Go from ideation to code within hours; iterate quickly on experiments and data. - Collaborate with ML engineers, backend engineers, and cross-functional teams to integrate models cleanly with data pipelines and product QUALIFICATIONS - Proficiency in full-stack development, with a strong understanding of system design, backend engineering, and observability infrastructure. - A track record of working through the full lifecycle of building, testing, deploying, scaling, and monitoring LLM-centered software architectures. - Excellent communication and collaboration skills: aligning on interfaces, navigating tradeoffs, and driving cross-team execution. WHY TENNR? - Drive Impact: one of our company values is Cowboy, meaning you set the pace. You won’t just talk about things, you’ll get them done. And feel the impact. - Develop Operational Expertise: learn the inner workings of scaling systems, tools, and infrastructure - Innovate with Purpose: we’re not just doing this for fun (although we do have a lot of fun). At Tennr, you’ll join a high-caliber team maniacally focused on reducing patient delays across the U.S. healthcare system. - Build Relationships: collaborate and connect with like-minded, driven individuals in our Hudson Square office 4 days/week - Free lunch! Plus a pantry full of snacks. BENEFITS - Beautiful new office at 345 Hudson Street - Unlimited PTO - 100% paid employee health benefit options - Employer-funded 401(k) match - Competitive parental leave

Location: Remote - US Who we are At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to remote-first work , and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. . Hiring and how we work We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions! Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings. . See yourself at Twilio Join the team as our next Strategic Account Executive for High Tech Accounts! Twilio powers real-time business communications and data solutions that help companies and developers worldwide build better applications and customer experiences. Although we're headquartered in San Francisco, we have presence throughout South America, Europe, Asia and Australia. We're on a journey to becoming a globally anti-racist, anti-oppressive, anti-bias company that actively opposes racism and all forms of oppression and bias. At Twilio, we support diversity, equity & inclusion wherever we do business. We employ thousands of Twilions worldwide, and we're looking for more builders, creators, and visionaries to help fuel our growth momentum. About the job We are expanding our team and growth within the High Tech Vertical by adding an experienced Strategic Account Executive. Our team is committed to helping our High Tech clients create frictionless engagement experiences for the customers they serve. Responsibilities In this role, you’ll: Manage and strategically expand relationships with our High Tech customer accounts. Develop, drive, and execute account strategy to consistently deliver strong revenue, gross margin, and gross profit results across your High Tech account portfolio. Drive the entire sales process from prospecting to deal closure, including launch. Run highly consultative sales cycles with a focus on deep discovery, understanding their business, listening to customer needs and being an effective champion for their point of view in the organization. Understand the customer’s technical requirements and map them to the capabilities of Twilio’s communications API platform so that together you can design a solution for their specific use case needs. Effectively communicate with all levels of the customer organization such as developers, managers, and executives. Our customers are often software engineers, application owners, product managers, line of business executives, VP’s of innovation, omni-channel and digital strategy stakeholders. Serve on a cross-functional account team with representatives from product, finance, partners, support, and services teams. Run a disciplined forecast, consistently achieve goals, and present guidance to executive management. Qualifications Not all applicants will have skills that match a job description exactly. Twilio values diverse experiences in other industries, and we encourage everyone who meets the required qualifications to apply. While having “desired” qualifications make for a strong candidate, we encourage applicants with alternative experiences to also apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table! Required: Possess a total of 8 years of sales experience, with a minimum of 3 years dedicated to major account or strategic sales and a track record of selling complex technical solutions. Familiarity with Twilio ecosystem of Tools: Salesforce, Outreach, LinkedIn SalesNav, ZoomInfo, Looker, Tableau, G-Suite, Gong Accountable for relationship management, cross sells, upsells and solutions consulting. Comfortable working with business and highly technical leaders, while influencing their understanding and building supportive partnerships. Analytical account development strategy based on using data to find opportunities and prove value. Demonstrated success by exceeding quota on a consistent basis. Demonstrated track record of managing business forecasts and financial models. Entrepreneurial mindset with appetite to define processes and build programs. Ethical. Hands on. Passionate. Creative. Team-player. Eager to deliver excellence. Excellent verbal and written communication & presentation skills.Bachelor’s Degree or equivalent years of experience. Desired: Domain expertise from a highly quantitative industry such as DevOps, Fintech, advertising optimization, investment banking, security or commodity trading especially in non-standard segments. Software, SaaS, CPaas or PaaS selling experience. Deep experience working with telecom companies, including SMS aggregators, carriers, or global communications platforms (CPaaS or PaaS) Experience selling API based solutions Location This role will be remote. Approximately 15% travel is anticipated. What We Offer There are many benefits to working at Twilio, including, in addition to competitive pay, things like generous time-off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location. Twilio thinks big. Do you? We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call Twilio Magic . Additionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts. So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn't what you're looking for, please consider other open positions . *Please note this role is open to candidates outside of Colorado, California, New York, Washington and Washington D.C. The information below is provided for candidates hired in those locations only. Compensation The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location. *Please note this role is open to candidates outside of California, Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, New Jersey, New York, Vermont, Washington D.C., and Washington State. The information below is provided for candidates hired in those locations only. The estimated pay ranges for this role are as follows: Based in Colorado, Hawaii, Minnesota or Vermont : $132,192 - $165,240. Based in Washington D.C., Illinois, Maryland, Massachusetts or California (outside of the San Francisco Bay Area): $139,536 - $174,420. Based in New York, New Jersey, Washington State, or the San Francisco Bay area, California: $X146,880 - $183,600. This role may be eligible to participate in Twilio’s equity plan. All roles are generally eligible for the following benefits: health care insurance, 401(k) retirement account, paid sick time, paid personal time off, paid parental leave. This role is eligible to earn commissions. The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location. Applications for this role are intended to be accepted until Nov 1, 2026 but may change based on business needs. Twilio thinks big. Do you? We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call Twilio Magic . Additionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts. So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn't what you're looking for, please consider other open positions. . Stay alert to recruitment fraud We care about your safety. Scammers sometimes impersonate Twilio recruiters through fake job postings, emails, websites, or messages. Please ensure you are engaging with an official @ twilio.com email address. We will never ask for payment, gift cards, cryptocurrency, or banking information during the recruiting process. We do not make job offers without a formal interview process or conduct interviews exclusively through text-based messaging apps. . Twilio is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.

Location: New York DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk. Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets. We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus. Overview We are looking for a Risk Product Analyst to work directly with Portfolio Managers, Traders, and Quantitative Researchers across multiple trading desks and asset classes.  The role sits at the intersection of trading, risk, and technology. You will be responsible for proactively identifying problems affecting our internal risk and valuation systems, diagnosing them by tracing the cause into the back-end services and infrastructure those systems depend on, and resolving them quickly and effectively. This is a fast-paced, highly collaborative role that requires deep knowledge of products and markets, strong technical skills, and sound judgement under pressure. Responsibilities Partner directly with Portfolio Managers, Traders, and Quantitative Researchers across rates, FX, commodities, equities, and crypto asset classes, serving as their primary point of contact for issues affecting risk and valuation. Diagnose and resolve issues affecting our next-generation risk and valuation systems, investigating across the full technology stack: applications, APIs, databases, messaging systems, and the underlying services that they depend on. Monitor system and trading issues and prioritize incidents based on their potential impact to trading, portfolio management, and P&L. When an issue cannot be resolved directly, identify the appropriate engineering, quantitative, or infrastructure team, and escalate with a clear, reproducible diagnosis that accelerates issue resolution. Work closely with Engineering and Product Management teams to identify recurring problems and drive strategic technology solutions. Develop tools and scripts in Python to automate diagnostics, investigate issues, analyze data, and improve workflows. Build a strong understanding of the firm’s trading and risk infrastructure and the dependencies between systems and underlying services. Qualifications Deep knowledge of financial products (cash instruments, futures, swaps, options) and markets, backed by strong technical skills. Previous experience in trade support, trading technology, production support, or a closely related role within a production trading environment – supporting multiple desks and/or asset classes. Ability to write Python and SQL to investigate issues, automate diagnostics, and query and reconcile data across systems. Familiarity with production diagnostic tooling (log aggregation, dashboards, monitoring, alerting). Strong analytical and problem-solving skills; able to methodically narrow down the source of an issue. Ability to communicate effectively with a varied audience, including portfolio managers, traders, quantitative researchers, engineers, and product managers. Who We’re Looking For The ideal candidate combines strong market and product knowledge with technical depth and is commercially aware and comfortable operating at the intersection of trading and technology. You should be able to take an instruction like “ my risk numbers look wrong ” and work through it independently by understanding what the front office is trying to do, investigating the relevant systems and services, determining where the failure is occurring, and either resolving it or routing it to the appropriate team with a clear diagnosis. This is not a role where success is measured by closing support tickets.  We are looking for someone who understands the trading domain, can solve problems, and can build strong relationships with the people running the firm’s trading strategies. The annual base salary range for this position is $175,000 to $250,000 depending on the candidate’s experience, qualifications, and relevant skill set. The position is also eligible for an annual discretionary bonus. In addition, DRW offers a comprehensive suite of employee benefits including group medical, pharmacy, dental and vision insurance, 401k (with discretionary employer match), short and long-term disability, life and AD&D insurance, health savings accounts, and flexible spending accounts. For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice . California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice . #LI-DW1

Location: San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Reinforcement learning is how Claude learns to reason, write code, and act autonomously over long horizons. The RL Scaling team works on how RL scales: what happens to throughput, stability, and learning efficiency as models get larger, episodes get longer, and compute grows by orders of magnitude, and what has to change in our algorithms and systems to keep getting returns from that scale. This role sits squarely across research and engineering. You'll develop next-generation architectures and RL algorithms, take them from a small-scale result to a frontier-scale run, and understand every place they behave differently along the way. You'll build the systems that set how fast the team can iterate: how many experiments, at what scale, and how quickly we can trust the results. And you'll work on Anthropic's largest and fastest RL runs, where the gap between a good idea and a working one is often a problem no one has solved yet. Key responsibilities Study how RL training and sampling scale with model size, context length, and compute, and find the algorithmic and systems changes that keep scaling efficient Develop next-generation model architectures and RL algorithms, and make them run efficiently at frontier scale Take promising small-scale results to frontier-scale runs, and diagnose why they behave differently when they get there, whether the cause is numerical, algorithmic, or systemic Build the experimental infrastructure that sets research velocity: fast, reproducible comparisons of architecture and algorithm variants at meaningful scale Own end-to-end performance of our largest RL runs, from research code down to the hardware Build performance and cost models for proposed architecture and algorithm changes, and use them to decide which ideas get scaled Investigate training dynamics at scale, including instabilities, divergence, and throughput regressions, and trace them to root cause Minimum qualifications Deep familiarity with modern transformer language models, including their architecture, training dynamics, and the behavior of large-scale optimization Hands-on experience training large models in a distributed setting, including the tradeoffs between data, tensor, and pipeline parallelism A track record of original technical work in ML training or systems, such as new methods, architectures, or optimizations, demonstrated through research, open-source, or production impact Ability to design rigorous experiments at scale, including baselines, ablations, and enough statistical care to trust a result that costs real compute Ability to reason quantitatively about the compute, memory, and communication costs of a model or algorithm Strong programming skills in Python and JAX or PyTorch, and comfort reading and changing code at every layer of the stack Preferred qualifications Research experience in reinforcement learning, optimization, or large-scale training, published or otherwise Experience developing RL algorithms for language models Experience with scaling laws or other quantitative models of training efficiency Experience designing or modifying transformer architectures beyond standard configurations Experience scaling training to large fleets of accelerators and debugging the problems that only appear at scale Deep understanding of numerics in large-scale training, including low-precision formats and sources of instability Familiarity with how GPU or TPU performance characteristics shape architecture and algorithm choices Experience with C++ or Rust Representative projects Characterize how a new RL algorithm's throughput and learning efficiency change from small models to frontier scale, and fix what breaks Develop a new attention variant, get it working at full scale, and measure how its quality and throughput compare to the baseline Prepare our next largest-ever RL run: find what breaks when model size, context length, and compute all grow at once, and fix it before launch Trace a loss instability that only appears past a certain scale to its root cause, and work out whether the fix belongs in the algorithm, the numerics, or the system Build a model that predicts the throughput and cost of a proposed architecture change before anyone writes the kernel 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: $500,000 — $850,000 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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Reinforcement learning is how Claude learns to reason, write code, and act autonomously over long horizons. At frontier scale, an RL run is an unusually demanding distributed system. Training, sampling, and environment execution run concurrently across a large fleet of accelerators and hosts, exchange data continuously, and have to keep making progress while hardware fails, load shifts, and the research changes underneath them. How well that system holds together determines how much of our compute turns into learning, and how quickly the team can try the next idea. As a Research Engineer on the Distributed Systems team within RL Engineering, you'll work on whatever part of that system is the current limit. That might be scheduling and placement, data movement between components, running large numbers of sandboxed environments, storage and checkpointing, networking, fault tolerance, autoscaling, or the observability that tells us what a run is actually doing. We're looking for generalists: engineers who can move between these layers, reason from first principles about a system they haven't seen before, and pick the problem that matters most rather than the one closest to their prior experience. Our system changes as fast as the research does, correctness under failure matters as much as throughput, and the best solutions often come from understanding the ML workload well enough to know which guarantees it actually needs. Strong candidates have built and run large distributed systems, care about getting the details right, and want to apply that experience to a workload that is very large, very heterogeneous, and changing quickly. Key responsibilities Design, build, and operate the distributed systems that run RL at scale, across training, sampling, and environment execution Find and remove whatever currently limits the system, whether it's scheduling, data movement, storage, networking, or coordination Build fault tolerance into every layer: failure detection, isolation, and recovery that keep long-running jobs making progress without human intervention Design resource management and autoscaling so that compute follows demand as a run's needs shift Build observability that makes it possible to understand what a run is doing and why it slowed down, stalled, or produced unexpected results Build automation that detects and remediates common problems, and design interfaces that let engineers and automated tools operate runs safely Work with researchers and performance engineers to make sure systems changes preserve training correctness and don't introduce subtle nondeterminism Remove classes of failure at their source through incident review, testing, and redesign, and write clear design documents for what you build Minimum qualifications Strong software engineering skills in Python and at least one systems language such as Rust, C++, or Go Experience designing, building, and operating large-scale distributed systems in production Deep understanding of distributed systems fundamentals, including consistency, coordination, consensus, failure modes, and recovery Ability to reason quantitatively about throughput, latency, and resource costs across compute, memory, storage, and network Experience debugging complex failures across many hosts and services, including failures you can't reproduce locally Strong written communication, including design documents and incident writeups Preferred qualifications Experience running ML training or inference infrastructure at scale Experience across several layers of the stack, such as scheduling, storage, networking, and orchestration Experience building schedulers, autoscalers, or resource management systems Experience with container orchestration such as Kubernetes, and with sandboxed or virtualized code execution at scale Experience with high-performance networking, RDMA, or collective communication libraries Experience building observability or automated remediation for large fleets Experience with async Python frameworks such as Trio or asyncio Familiarity with reinforcement learning or large language model training workloads Representative projects Design a scheduler that places training, sampling, and environment work across a heterogeneous cluster while respecting network topology and failure domains Build a failure detection and recovery system that lets a long-running job survive host and network failures with minimal lost work Scale environment execution substantially without increasing tail latency for the training step Design an autoscaling policy that rebalances compute across components as a run's bottleneck shifts Build a diagnostics system that explains why a run's throughput dropped and proposes a fix Trace a rare data corruption bug across many services to a race condition in a recovery path, and redesign the path so the class of bug can't recur Design the operational interface for a run so that automated tools can safely diagnose and adjust it under human oversight 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: $500,000 — $850,000 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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco Workplace: Hybrid ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE As a Field Marketing Manager, you will lead the development and execution of regional marketing strategies to support sales goals, drive demand, and enhance brand awareness. This role requires a strategic thinker with a builder mentality that has a strong understanding of the New York or San Francisco tech ecosystem.   RESPONSIBILITIES - Develop and execute regional field marketing plans and programs to align with sales priorities and pipeline goals. - Plan and manage events to drive demand, accelerate pipeline, and engage customers. - Own program management, including event logistics, budget oversight, and vendor coordination. - Analyze and report on campaign effectiveness, providing insights to optimize future initiatives. - Collaborate with product marketing to align messaging and go-to-market strategies with field initiatives. - Prioritize seller requests by expected revenue. - Represent Baseten at industry events and build brand presence in-market.   REQUIREMENTS - Bachelor’s degree in Marketing, Business, or related field. - 5-7 years of experience in field marketing in the technology or SaaS industry. - Proven track record in delivering and optimizing demand generation programs to meet pipeline goals. - Strong understanding of sales processes. - Proficiency with marketing tools such as Salesforce & HubSpot. - Excellent project management skills with the ability to prioritize and execute multiple initiatives simultaneously. - Collaboratively with a growth mindset. - Strong interpersonal and communication skills with a collaborative mindset. - You actively use AI tools to drive your own productivity - in how you analyze data, structure problems, draft communications, and accelerate your work. - Ability to travel up to 25% for events and meetings. BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

Location: Boston, MA, United States, New York, NY, United States Title of role: Manager Business Analytics Location: New York or Boston; Hybrid (2 days in the office required) Approved Salary Range: $130K-$140K About the Role : Rue Gilt Groupe is seeking an innovative and business-minded Manager, Business Analytics to lead the analytical strategy across key customer engagement channels. In this role, you will be the dedicated analytics owner for our Paid Retargeting and Winback marketing programs, transforming complex datasets into executive-ready strategic insights that drive measurable revenue growth. You will sit at the intersection of marketing strategy, technology, and data science—collaborating closely across the broader Marketing team, technology partners, and external vendors. If you thrive on upleveling complex analyses, understanding core commercial drivers, and leveraging modern tools with AI, this opportunity is ideal for you. Key Responsibilities: Program Analytics Ownership: Serve as the lead analytics owner for both the Paid Retargeting and Winback marketing programs, defining measurement strategy, incrementality testing, and performance optimization. Uplevel Complex Analyses: Synthesize multi-channel datasets into clear, actionable stories, executive dashboards, and strategic recommendations that directly influence marketing investments. Understand Business Context & Drive Innovation: Connect data directly to underlying business models, identifying growth opportunities and pioneering new approaches to customer lifecycle optimization. Cross-Functional Collaboration: Partner effectively across internal teams, including Marketing, Data Engineering, and Tech, as well as external platform vendors to improve attribution, data architecture, and campaign effectiveness. Embrace AI & Modern Workflows: Bring a strong AI curiosity to test and integrate novel AI tools, automated analytical workflows, and generative techniques into daily reporting and exploratory research. Experience and Background Needed : Strategic Thinking: Proven ability to translate complex statistical outputs into high-level business narratives for non-technical leadership. Forward-Looking Mindset: Active curiosity around emerging AI tools and automation capabilities to enhance analytical speed and insight discovery. Collaborative Attitude: Strong communication skills with a track record of building cross-departmental alignment and managing external partner relations. BA/BS in a quantitative field (Marketing, Economics, Mathematics, etc.). 4+ years of experience in business analytics, marketing analytics, or data-driven strategy (preferably within e-commerce, digital retail, or direct-to-consumer environments). AdTech/Digital Paid Media background a plus. Strong statistical foundation, including hands-on experience with A/B testing , attribution methods, and MMM/MTA modeling . Advanced SQL skills for querying, data manipulation, and building robust analytical models. Deep experience with Tableau (or equivalent BI tools such as Looker or Power BI) for designing interactive visualizations and executive reports. Expert-level proficiency in Excel or Google Sheets What our team offers Working at RGG is more than just a job; it’s an opportunity to join a mission-driven team that values Innovation and Impact. We are committed to supporting our employees' success and well-being: Comprehensive Coverage: Robust health, dental, and vision insurance effective on the date of hire. Time & Flexibility: Generous Flex Time Off (FTO) and flexible remote/hybrid work options that support a healthy work-life balance. Culture: A supportive, inclusive culture that encourages innovation, safety, and creative risk-taking. Community: Paid volunteer opportunities and regular DEI celebrations to foster a strong sense of community and collaboration. Impact: The chance to make a real, measurable impact at a mission-driven, fast-growing company poised for major expansion. We encourage you to apply Even if you don’t meet every single qualification, we’d still love to hear from you. We value passion, curiosity, and a commitment to learning as much as experience.  We celebrate diverse perspectives and strive to create an inclusive environment for all our Associates. Work Authorization Rue Gilt Groupe requires all applicants to be currently authorized to work in the United States on a full-time basis. This position is not eligible for visa sponsorship now or in the future . Rue Gilt Groupe is an Equal Opportunity Employer and will consider all qualified applicants without regard to race, color, religion, sex, national origin, disability, or protected veteran status. Rue Gilt Groupe is committed to providing Associates with equal pay for equal work and carefully considers a wide range of compensation factors, including but not limited to, prior experience, education, certification(s), license(s), skills and expertise, location, internal equity, and other factors that are job related and consistent with business need. Our goal is to support, reward and compensate the entire individual. Depending on role eligibility, your offer may also include bonus/commission, stock options, paid time off, medical, dental, vision and basic life insurance. Therefore, final offer amounts may vary from the amount stated. The above statements are intended to describe the general nature and level of work being performed by the employee(s) assigned to this job. They are not intended to be an exhaustive list of all responsibilities, duties and skills required of the employee(s) assigned to this job. Rue Gilt Groupe reserves the right at any time, with or without notice, to alter or change job responsibilities, reassign or transfer job positions or assign additional job responsibilities within your general skill set or capabilities. Rue Gilt Groupe is proud to be an Equal Opportunity workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. ABOUT US: Ready for the most memorable – and stylish – experience of your professional career? Then join us at Rue Gilt Groupe. Combining three complementary brands, Rue La La, Gilt, and Shop Simon, we are the premier off-price e-commerce portfolio company. Our model defined the online treasure hunt through its daily sale events allowing our customers to discover over 5,000 premium and luxury brands at prices up to 70% off full-price retail. We believe in fashion for all, sparking delight through daily discovery and shopping as an occasion to celebrate!  World-class merchandising, technology and marketing bring our shopping experience to life, and we hire world-class people to do it.  Living our values and being empowered, tenacious, passionate, collaborative, innovative, and kind is something we strive for every single day. We meet over coffee and brainstorm new ways to spark delight for our members. Volunteer on- and off-hours together. Plan some serious surprises for our coworkers, because nothing ignites innovation like a breakfast cereal buffet or an afternoon slice of cake. And we don't hesitate to use our associate discount – after all, we're as enthusiastic about style as our customers. The way we work?  It's so much more than what happens between the weekends. It empowers us to think, create, and innovate, so we can deliver the first-rate experience today's customer’s demand. Rue Gilt Groupe GDPR/CCPA Pre-Collection Notice for Job Applications: We collect personal information (PI) from you in connection with your application for employment with Rue Gilt Groupe, including identifiers, contact information, employment and education history, and related information. We use this PI for purposes related to evaluating your application and potential employment. Depending on your location, you may have rights under GDPR or U.S. state privacy laws. For additional details or if you have questions, please see our GDPR Applicant Privacy Notice and CCPA Applicant Privacy Notice or contact us at recruitingcoordinator@ruegiltgroupe.com.

Location: London, England, United Kingdom About Smartcat Smartcat is building the future of work, where human expertise meets digital teammates to drive 10x to 1000x productivity gains for the world’s leading enterprises. We’re on the frontier of an entirely new category: Agentic AI. We enable enterprises to build high-performing hybrid workforces made up of both humans and AI agents. These AI agents aren’t generic copilots. They’re fully trained digital teammates that learn from your best people, your content, and your business strategy—ready to get to work from day one. Our platform combines generative AI, human-in-the-loop workflows, and a living Enterprise Skill Graph that continuously learns and improves. Whether you're launching a product globally, onboarding new hires, translating learning content, or aligning legal teams across regions, Smartcat turns knowledge into action and action into scale. Over 1,000 companies, including 20% of the Fortune 500, rely on Smartcat to bring their business to the world—instantly, accurately, and in every language. As a Series C company with consistently high year-over-year growth, we’re scaling fast and investing in people who want to shape the future of work with us. Join us in unlocking global potential, one human and agent team at a time. THE ROLE You’ll build and deploy customer translation and localization workflows, lead technical discovery and demos, guide onboarding, and support renewals by demonstrating value and resolving technical blockers. This is a hands-on engineering role with substantial customer-facing responsibility. You’ll focus on enterprise workflows in learning and development (L&D), websites, and marketing. WHAT YOU’LL DO Scope customer needs into technical plans with clear dependencies, acceptance criteria, and measurable outcomes. Build AI workflows using prompts, glossaries, translation memories, and human review to meet customer terminology, brand, and quality requirements. Write and deploy integrations with CMS, DAM, PIM, LMS, and commerce systems, preserving content structure, metadata, and context. Own production readiness: secure data access, testing, error handling, monitoring, quality evaluation, and review routing. Document the solution and agree ongoing ownership. Support customer enablement and adoption with Account teams, measure results against the baseline, and identify valuable follow-on workflows. Turn customer work into reusable connectors, evaluation suites, and deployment patterns, and inform Product and Engineering priorities. EXAMPLE PROJECTS L&D workflows: automate localization of courses, training materials, and learning content, from source files through review and delivery into the customer’s LMS. Website workflows: connect the CMS to translation, review, and publishing so new and updated pages stay current across languages. Marketing workflows: localize campaign assets, emails, and product content, applying brand voice and terminology with market-specific review and approval. Across these workflows, build quality checks and human review routing that meet customer requirements. WHAT YOU BRING A record of shipping software, integrations, or automation for enterprise customers; demonstrated ability matters more than a specific degree or years of experience. Hands-on coding skills across APIs, authentication, webhooks, data transformation, version control, testing, and debugging. Experience building AI workflows and evaluating quality, reliability, latency, and cost, including failure handling and human review. Clear communication with technical and business stakeholders, and the judgment to scope ambiguous requests, explain tradeoffs, and manage expectations. Ownership through deployment, documentation, customer enablement, and adoption. Practical use of AI in your own engineering work. Localization or translation technology experience is valuable; curiosity about the domain is essential. Willingness to travel up to 40% Why joining Smartcat might be your best move so far A global, connected team We’re a team of 200+ people across 30+ countries, working together through a hub-and-spoke model anchored in eight key locations: New York, London, Lisbon, Costa Rica, Serbia, Armenia, Georgia, and Spain.  Most of our roles are remote-friendly, giving you the flexibility to do your best work from where you thrive. For customer-facing teams, we prioritize proximity to our customers, ensuring we stay deeply connected to their needs and deliver an exceptional experience.  No matter where you’re based, you’ll be part of a highly collaborative, globally-distributed team that values ownership, speed, and meaningful impact. Be part of an AI Native Organization We are highly innovative, using AI across all areas of the organization to accelerate decision-making and free people to focus on strategy and high-impact work. We embrace new ideas and encourage all Smartcaters, regardless of level or department, to manage their own AI Agents. At Smartcat you’ll shape how AI transforms the workplace and play an integral role in ensuring Smartcat remains a leader in AI innovation. Innovating a $100 Billion industry Smartcat is reshaping the $100B multilingual content industry with an AI-powered platform that makes it easy for companies to create, translate, and localize global content at scale. Our platform enables enterprise teams to move away from slow,  traditional outsourcing methods, and achieve fast, high-quality results, at a fraction of the cost. Join the rocketship to scale-up 10x and beyond together We are looking for someone to become an integral part of our team and play a crucial role in the most exciting part of our journey: transitioning from a post-Series C startup to a company exceeding $100M in ARR and $1B in valuation. Our journey isn’t for the faint of heart. We are growing at 130% YoY, thanks to our strong product-market fit and high-performing team, and plan to accelerate from here. Smartcat Culture Code : Where Diversity Meets High Performance At Smartcat, we are committed to building a culture that highlights respect and appreciation for each individual's unique background and perspective, while maintaining a strong focus on results and engagement. We believe in welcoming everyone and fostering an inclusive environment where team members can be their authentic selves at work. Our commitment to inclusion is steadfast, and we stand firmly against discrimination and harassment.

Location: San Francisco, CA | New York City, NY 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's go-to-market engine runs on Salesforce: how leads become pipeline, how deals are tracked and forecast, how customers renew and expand, and how partners work alongside our sellers. As a Business Systems Analyst, you'll be responsible for how one of those core motions is represented in system, and a trusted partner to GTM leadership when they want to change how it works. We're looking for someone who operates at the intersection of three things: a strategist who can sit with GTM leaders and shape how they want to understand their part of the business, an analyst who can turn that into rigorous process and data design, and a builder who's comfortable enough in Salesforce to ship meaningful parts of it themselves. You can move fluidly between whiteboard, requirements doc, and admin console. You'll partner deeply with RevOps on the operating model and with our Salesforce developers on anything that needs code. Where you might sit We're hiring across several parts of the customer lifecycle. Placement depends on your background and where you can have the most impact. Opportunity Acceleration: Owns how deals are tracked, forecast, and credited in Salesforce, from stage design and forecasting to the ownership and team structures behind them. You'll partner with sales leadership to make pipeline something everyone can trust and sellers can work quickly. Lead-to-Pipeline: Owns how leads, inbound demand, and BDR outreach become qualified pipeline: lifecycle stages, routing and ownership, handoff rules, and the tools BDRs and sellers work in every day. You'll partner with BDR, marketing, and sales leadership to make the path from first touch to open opportunity faster and easier to measure. Post-Sales: Owns the systems behind renewals, expansion, and customer coverage: how post-sale opportunities are created, forecast, and worked by account management and customer success. You'll give post-sales leaders a clear, trustworthy view of the customer base and the tools to act on it. Partnerships: Owns how partner-sourced and co-sell deals are registered, attributed, and worked alongside our sellers, including the partner-facing processes and reporting leadership relies on. You'll help turn a fast-growing channel into a motion the business can measure and scale. Key responsibilities Own the design of your core funnel domain in Salesforce: lifecycle stages, process, exit and handoff criteria, key fields, and the automation and guardrails that keep the data trustworthy Partner with GTM leadership on how their motion runs and how they want to see it, and make the tradeoff calls on what teams enter versus what insight that data unlocks Partner with RevOps to systematize how GTM teams are structured, assigned, and credited: ownership, routing, coverage, splits, and the territory and role structures those depend on Operationalize the methodology in system, turning frameworks and process discipline into fields, validation, scoring, and in-context guidance that people actually use Act as data-model steward for your domain and its closest neighbors: the named approver for new fields, automation, and integrations touching those objects, and the keeper of why each one exists Build and ship declarative solutions yourself where that's the right call, and write specs clean enough that our developers can build the rest without five rounds of clarification Own the seams to the neighboring stages of the customer lifecycle (lead handoff, opportunity, quote-to-cash, renewal, partner attribution) so the experience is coherent end to end even where the build sits with another team Evaluate and configure tooling that accelerates the motion: routing, activity capture, sequencing, deal inspection, account planning Run discovery, UAT, enablement, and adoption measurement for everything you ship; help raise the bar for how BSA work is done on this team Minimum qualifications Experience in GTM/Revenue systems as a Business Systems Analyst, Sales Systems Lead, or RevOps Systems role, with real ownership of work in a core funnel domain such as lead management, opportunity and pipeline, renewals and account management, or partner channel Experience designing and rolling out a lifecycle, process model, or forecasting motion at a fast-growing company, owning it from discovery through enablement and adoption Credibility with GTM stakeholders: you've been in the pipeline review, forecast call, or planning session, and you can push back when there's a better answer Hands-on Salesforce skills, with comfort building meaningful parts of your own solution (Flow, validation, assignment and routing, page and Path design) and specs that make the handoff to developers clean Crisp communication across GTM teams, leadership, RevOps, and engineers, adjusting altitude for each Preferred qualifications 5+ years of experience in GTM/Revenue systems roles Salesforce Administrator certification Advanced Administrator, Business Analyst, or Sales Cloud Consultant certification Experience partnering with RevOps or Sales Strategy on team-structure questions (ownership, routing, splits, territory) and turning those decisions into working system design Experience across more than one part of the customer lifecycle, such as lead, opportunity, renewal, or partner Curiosity about AI-assisted systems work and eagerness to fold it into how you design, build, and document; prior hands-on use is a strong plus 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: $270,000 — $315,000 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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role: As a Field Executive Architect, you will serve as Anthropic's senior technical voice with our most strategic customers. You'll engage directly with C-suite executives and senior technical leaders at the world's largest enterprises to understand their business, align stakeholders around a clear vision for how AI fits into their strategy, and create momentum toward adoption of Anthropic's products. This is not a hands-on-keyboard engineering role. Your job is to walk into a room full of executives, quickly understand their business and technical landscape, and help them see a clear path forward with Claude. You'll then partner with Sales and Applied AI teams to ensure that vision translates into execution -- checking in on high-momentum accounts, maintaining executive relationships, and keeping deals on track. Internally, you'll serve as a sponsor for enterprise customer needs, working with Product to ensure that what matters most to our largest accounts is heard and prioritized. You'll bring deep experience in enterprise technology and a track record of operating at the intersection of business strategy and technical execution. Whether you've been a CTO, VP of Engineering, Field CTO, or a world-class senior technical salesperson, what matters is that you've seen how large organizations make technology decisions and can meet executives where they are -- with credibility, clarity, and conviction. Responsibilities: Engage directly with C-suite and senior technical leaders at Anthropic's largest and most strategic accounts, aligning business and technical stakeholders around a clear vision for AI adoption Prepare for and lead high-stakes customer engagements -- executive briefings, EBCs, on-site workshops -- that change the trajectory of key accounts at critical inflection points Partner with Sales and Applied AI teams before and after engagements to game plan approach, debrief on outcomes, and ensure the vision carries through to execution Lean in on high-momentum accounts after initial engagement, maintaining executive relationships, providing strategic guidance to the Sales and Applied AI teams, and sustaining deal momentum Serve as an internal sponsor for enterprise customer needs, translating field feedback into clear priorities for Product and ensuring the most important enterprise requirements are heard and acted on Bridge the gap between our field organization and Product org -- helping each side understand the other's priorities, constraints, and roadmap Travel regularly to customer sites for executive engagements, workshops, and strategic account meetings You may be a good fit if you have: 15+ years of experience in enterprise technology, with significant time spent in senior technical leadership or senior technical sales roles (CTO, VP of Engineering, Chief Architect, Field CTO, or similar) A track record of engaging credibly with C-suite executives and senior technical leaders at large enterprises -- you can hold the room and earn trust quickly Deep understanding of how large organizations evaluate, buy, and scale technology -- you've seen the inside of these decisions from a leadership seat or from the sales side of the table Enough technical depth to understand modern AI systems and their enterprise applications, and enough business acumen to connect technical capabilities to business outcomes Experience translating between technical and business audiences -- you can make complex topics clear and compelling for both Strong opinions about what makes enterprise technology adoption succeed or fail, informed by having led or closely advised these efforts The ability to navigate ambiguity and move fast in a rapidly evolving market -- you're comfortable operating without a detailed playbook and building the plane while flying it A collaborative mindset -- sales at Anthropic is a team sport Excitement about AI's potential to transform how enterprises operate, and a genuine desire to help customers succeed with it Willingness to travel regularly for customer engagements 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: $400,000 — $500,000 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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: United States What the Role Is As our Senior Payroll & Compliance Specialist, you'll own the most tangible ways we look after our team: paying people correctly and staying compliant in a fast-changing regulatory environment. You'll do that for a distributed workforce of 600–1,000 employees across ~35 states, 300+ of them nonexempt/hourly. You'll report to our People Operations Manager and work most closely with People Ops, Accounting, and our payroll partner, Newfront — owning our U.S. compliance calendar end to end (45+ recurring obligations a year across about a dozen jurisdictions), with real room to redesign the steps that slow us down. If you've supported complex, multi-state payroll for a large nonexempt workforce, take pride in getting it right, and like being the steady hand behind the scenes, this role will energize you. Who You Are You run multi-state U.S. payroll end to end in an enterprise HRIS (Paylocity or comparable) — inputs, timecard corrections, off-cycle and termination pay, garnishments, and final review before funding. You've owned a compliance calendar covering EEO-1, OSHA, nondiscrimination testing, and state reporting — plus background checks, I-9 review, required trainings, and policy creation and revision. You surface deadlines before they're urgent. Direct experience with California or New York employment law is a strong plus. These are our two most demanding states — same-day final pay, pay data reporting, and local rules that change often. It's learnable, but if you've run compliance in either, you'll ramp much faster. You turn legal redlines into usable policy. You've worked with Legal and outside counsel on handbook language and translated it into something employees will actually follow. You improve a process, then prove it. You test against known-good output, build in the checks that show it's still running clean, and leave a written SOP behind. You reach for AI naturally to move faster — at Babylist, every team uses it daily. You can explain a paycheck to the person who earned it , and the numbers to the people who sign off on them. You hold a deadline. You plan backward from the pay date and the filing date, stay responsive during processing windows, and raise a flag early when a date is at risk. You have 5–8 years in payroll and compliance, including 3+ years running multi-state U.S. payroll. CPP, FPC, SHRM-CP, SHRM-SCP, PHR, or SPHR aren't required, but any would cement your expertise. How You Will Make An Impact You'll run two payroll cycles end to end — weekly for our fulfillment center and hourly showroom teams, bi-weekly for corporate and salaried showroom — handling every change for a large hourly population: new hires, terminations, clawbacks, corrections, direct deposit updates, and ad-hoc termination pay. You'll audit every pre-process register before funding and work discrepancies with Newfront until they're resolved. You'll be the person employees reach when a paycheck doesn't make sense — questions answered or routed within one business day. You'll own the U.S. compliance calendar through annual filings — EEO-1, CA Pay Data, and OSHA 300 across corporate, both showrooms, and the fulfillment center — and translate legislative change across ~35 states into the handful of actions that actually apply, then brief the People team. You'll run screenings that hold up under review: background check review and escalation, plus quarterly health exclusion checks. You'll take point on the annual "Compliance Refresh" each February, chasing it to 100% completion across every eligible employee and contractor, and partner with Legal and outside counsel on handbook and policy review every two years. You'll design the internal controls across payroll and compliance and keep the evidence trail current — the same trail that carries our annual workers' compensation and external financial audits. You'll build automation and prove it works — skills, scheduled tasks, and workflow tooling, tested against known-good output and instrumented so you can see it's still running clean. Some SOPs exist; you'll build the rest. Why This Role You'll help redesign payroll for a high-growth company, with AI and automation written into the role itself — in how the job is defined and how it's measured. Payroll and compliance live in one seat. You'll see the whole picture, from the register to the filing, and make each decision knowing exactly what it does to the other. The controls you design get used and reviewed — auditors look at your evidence trail, Finance and Legal rely on it — so the work carries weight well past our team. You'll have a manager and a director building alongside you. About Compensation We use a market-based approach to compensation. The starting salary range for this role is: $93,034 to $124,085 Your starting salary will be based on your location, experience, and qualifications, with increases over time tied to performance, role growth, and internal pay equity. Who We Are Babylist is the leading platform for expecting and new families. More than 10 million people shop with Babylist every year, making it the go-to destination for seamless purchasing, guidance, and expert recommendations. As a modern, AI-forward tech company, Babylist has expanded from a universal registry into a full ecosystem — the Babylist Shop, Babylist Health, Babylist Money, NYC and LA showrooms, branded content, and more — generating $750M in revenue in 2025. Building the generational brand in baby, Babylist is reshaping the $235B kids and baby market and helping parents feel confident, connected, and cared for at every step. Our Ways of Working Babylist is remote-first with team members across the U.S. and Canada who move fast, think smart, and use AI as part of how they work every day — not as an experiment, as an expectation. We come together twice a year to build the relationships behind the work, and we hire people who are genuinely excited about what's possible and prove it through how they show up. Why You Will Love Working At Babylist Our Culture We work with focus and intention, then step away to recharge We believe in exceptional management, and we invest in the tools and the time to connect with colleagues We build products that positively impact millions of people's lives AI is part of how we work, not a side experiment. You'll have leading tools like Claude and ChatGPT from day one, with no waiting on access, so the busywork gets handled and your judgment goes where it counts Growth & Development Competitive pay and meaningful opportunities for career advancement We believe technology and data can solve hard problems We're committed to career progression and performance-based advancement Benefits Company-paid medical, dental, and vision insurance Retirement savings plan with company matching and flexible spending accounts Generous paid parental leave and PTO Winter Wonder Week: the whole company takes a paid week off at the end of the year, whether or not you celebrate anything, so everyone's out at once and comes back refreshed Remote work stipend to set up your office Perks for physical, mental, and emotional health, parenting, childcare, and financial planning Important Notices Recorded Interviews. Babylist uses an interview recording tool to record and transcribe interviews for evaluation purposes in accordance with applicable privacy laws. By participating in an interview, you consent to this recording and transcription. Interview Integrity. AI is part of how we work at Babylist. We expect you to use it too. Your application and interviews should still reflect you and your own thinking. We'll tell you when AI is encouraged. Misrepresentation at any stage may result in removal from consideration for this and future roles. How We Review Applications We use AI throughout our hiring process to help review, screen, and assess applications. These tools support our team's review; they do not replace it, and every hiring decision is made by a person. Connections at Babylist. If you have a family member or close personal relationship with a current Babylist employee, please let your recruiter know. This helps us keep our process fair and transparent for everyone. Protect Yourself from Scams. All official outreach comes from the Babylist Talent Team via @babylist.com email addresses only. We will never ask for payment or personal financial information. If you receive outreach via WhatsApp, Telegram, or a non-Babylist email, it's not us. Verify open roles at babylist.com/careers.

Location: San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Data Center Security Engineering (DCSE) owns physical security across Anthropic's data center footprint: the sites, the hardware inside them, and the supply chain that delivers it. The Security Fusion Platform is where physical security signals from across that footprint are correlated and put in front of the analysts who act on them. It carries continuous monitoring, audit evidence, metrics, and analyst response, along with the classification and analytics pipelines that turn sensor data into events. You'll build and own the platform analysts work from. This is a foundational role. You'll build the software platform that carries a signal from source to analyst decision, ship its first versions, and keep them running in production. The sensors and systems at each site belong to other DCSE engineers; you define the event contract their owners deliver to, and you build the classification and analytics pipelines that run over what those sources produce. Physical security systems engineers own the operations spaces; you own the software that runs in them. You'll work alongside engineers focused on the sites themselves. What you lead, you own end to end: the design, the technical approach, and the result in production. You'll work with external vendors and integrators, setting requirements and acceptance criteria for what you own and deciding what the team builds itself. We use Claude throughout our engineering workflow and expect you to as well. This role involves regular travel to data center sites. No security clearance is required. These are critical services, and you'll take part in on-call for them. Key responsibilities Design and build the event bus and normalized event schema: source identity, sequencing, health state, and the adapter contract that owners of each sensor and system feed build to, plus adapters where needed Build correlation and alerting: the rules and services that turn events from independent sources into alerts an analyst can act on Build the classification and analytics pipelines: computer vision and multi-sensor fusion, with results landing on the event bus Build analyst surfaces: the queue, escalation tooling, dashboards, camera viewers, and video wall content a 24/7 watch works from, plus video analytics integration so camera streams arrive on the bus as events Deliver audit evidence: durable, tamper-evident event history, evidence exports, and the retention and access controls around them Instrument metrics and self-monitoring: detection rates, nuisance ratios, alert aging, time to resolve; heartbeats and loss-of-telemetry alarms on every feed, tested fail-secure behavior, and change audit on every rule Deploy across sites: site-local components, central services, and the sync that keeps configuration, rules, and state consistent, then commission each site and hand over to the analysts Specify the compute the platform runs on (servers, storage, and the platform's network segment) to the team's segmentation and hardening baseline Write requirements and acceptance criteria for what vendors and integrators deliver, review deliverables against them, and make the call on accepting or rejecting the work Minimum qualifications Have built and run event-driven backend systems in production Are proficient in at least one backend language such as Python, Go, or Rust, and have worked with a message bus or event streaming system such as Kafka Have owned a system end to end: set the design, made the tradeoffs, shipped it, and answered for it in production Have integrated with external systems you did not control (vendor APIs, on-prem appliances, video platforms, building systems) and designed for a life beyond any one vendor Have directed vendor or integrator work: written requirements and acceptance criteria, reviewed deliverables against them, and decided what gets accepted Design for the failure you won't see coming (a silent feed, a lost network path, a replayed event, a de-tuned rule), know how your system behaves when a source lies or goes quiet, and test for it Build tools for people who use them under pressure and iterate with those operators Preferred qualifications Experience building or operating a security operations platform (SOC, physical security operations, or the detection engineering behind one) Experience building ML or computer vision inference pipelines over video and sensor streams PSIM (physical security information management) or VMS (video management system) integration experience, or familiarity with physical access control and building systems data Experience producing evidence for auditors or assessors: log integrity, retention, chain of custody Experience using AI-assisted development tooling as a core part of your workflow 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 — $405,000 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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: New York, NY, United States About Us Fanatics is a leading global sports platform redefining how fans connect with the teams, players and moments they love. Our businesses — Fanatics Commerce, Fanatics Collectibles, Fanatics Betting & Gaming, Fanatics Events, Fanatics Advertising, Fanatics Markets and Fanatics Studios — maximize the presence and reach for hundreds of partners globally and create a one-stop experience that allows fans to buy, bet, collect, and earn, while engaging with sports in deeper, more immersive ways. This includes licensed fan gear and lifestyle products, sportsbook and iGaming, physical and digital trading cards, live events, premium sports entertainment content, credit card offerings and more. Together, they form a powerful, integrated ecosystem — connected by the Fanatics ONE loyalty program and FanCash, the currency of sport — delivering personalized experiences to over 100 million fans worldwide. Fanatics holds partnerships with over 900 sports properties, from professional leagues and players’ associations to teams, colleges and retail partners; over 7,000 athletes and celebrities; and over 2,000 retail locations, including all Lids stores. Backed by a team of more than 22,000 employees, Fanatics is committed to relentlessly enhancing the fan experience. Job Summary Fanatics Betting & Gaming (FBG) is building the industry's most trusted, scalable, and fan-centric sportsbook experience. Our Internal Platforms power critical systems that support customer operations, marketing, support, risk, and data—through a combination of Java backend services, APIs, event-driven systems, and integrations with the SaaS and CRM platforms our business teams run on. We are seeking a Staff Java Software Engineer to set technical direction for the services and integrations that Internal Platforms runs on. This is a senior individual contributor role for an engineer who operates with minimal guidance, takes on our most complex and often cross-functional problems, and raises the bar for everyone around them. At this level, your impact is measured beyond the code you write. You will own architecture for significant parts of the platform, drive decisions that span multiple teams and systems, mentor other engineers, and partner directly with Product, Operations, Support, Marketing, Risk, and Data leadership to shape what gets built and why. You will still be hands-on—Staff engineers at FBG write and review code every week—but you will spend meaningful time on design, technical strategy, and multiplying the output of the teams you work with. You do not need to be a Salesforce specialist. Some of our systems integrate with Salesforce for CRM and workflow automation, so exposure to it is a nice to have—but we're hiring for strength in Java, distributed systems, and integration design, and we expect you to pick up the platform specifics on the job. Key Responsibilities Technical Leadership & Architecture (Primary Focus) Own the architecture for major services, integrations, and data flows within Internal Platforms, from problem definition through production operation. Lead design for complex, often cross-functional initiatives—defining the approach, surfacing trade-offs, and driving alignment across engineering teams and stakeholders. Break ambiguous, department-level problems into clear technical plans and workstreams that other engineers can execute against. Evaluate and select technologies, patterns, and vendors; know when a sophisticated design approach is warranted and when the simpler answer is the right one. Establish and evolve engineering standards for the team—API design, testing strategy, observability, deployment, and integration patterns—and get them adopted in practice, not just documented. Identify systemic technical debt and reliability risk across the platform, build the case for addressing it, and sequence the work alongside feature delivery. Hands-On Engineering Design, build, and maintain Java-based backend services (Spring Boot or similar frameworks) that are scalable, resilient, and well-tested. Take on the hardest technical problems on the team: high-throughput event processing, complex multi-system integrations, thorny data integrity issues, and production incidents that cross service boundaries. Diagnose problems at the root cause rather than the symptom, and translate what you learn into durable fixes and better instrumentation. Set the quality bar through your own code and through high-signal code reviews that teach as well as gate. Contribute to internal web applications and user interfaces backed by Java services where it moves the work forward. Mentorship & Force Multiplication Mentor and coach Senior and mid-level engineers through design review, pairing, and direct feedback; help them grow the judgment to handle complexity independently. Create learning and growth opportunities for teammates—delegate meaningful design work, sponsor stretch assignments, and share context generously. Onboard and ramp new engineers into the platform's systems and conventions. Write the documentation, runbooks, and design records that let the team operate and extend the platform without you in the room. Model an inclusive, collaborative environment where opposing views are actively invited and disagreement is resolved on the technical merits. Cross-Functional Partnership & Delivery Partner with Product Managers, Technical Program Managers, and business stakeholders to shape roadmaps—bringing technical feasibility, sequencing, and risk into the conversation early rather than reacting to finished requirements. Work directly with Marketing, Operations, Support, Risk, Compliance, and Data teams to ensure platform capabilities meet business needs and regulatory obligations across jurisdictions. Represent Internal Platforms in architecture and design discussions with other engineering teams, negotiating clean contracts and shared ownership boundaries. Communicate complex technical problems, trade-offs, and decisions clearly to both engineering and non-engineering audiences, including leadership. Drive predictable delivery for initiatives you own: scope, estimate, unblock, and own the outcome—including the parts that depend on other teams. Engage external partners and vendors on integration design and technical escalations where needed. Third-Party & SaaS Platform Integration Own the integration architecture between our Java services and the third-party platforms our business teams depend on—REST APIs, platform events, middleware—including data ownership, consistency, and failure handling. Define scalable, reusable integration patterns and prevent the platform sprawl that comes from point-to-point fixes. Lead resolution of complex integration issues spanning backend services, vendor platforms, and data pipelines. Partner with platform-specialist engineers (including our Salesforce-focused engineers) to keep integration boundaries clean and maintainable. Operational Excellence Own production health for the services in your remit: SLOs, alerting, on-call quality, incident response, and post-incident follow-through. Anticipate failure modes, capacity limits, and blockers before they surface, and build the safeguards in advance. Improve engineering practice across the team—CI/CD, test automation, release safety, and developer productivity. Hold the line on the standards required of a regulated, highly available gaming platform. Qualifications Required 8+ years of professional software engineering experience, with deep expertise in Java. Demonstrated ownership of the architecture and delivery of complex production systems, including work that spanned multiple teams or functions. Strong experience designing APIs and integrating distributed systems, with sound judgment about consistency, failure handling, and service boundaries. Track record of operating with minimal guidance: taking an ambiguous problem, defining the approach, and driving it to production. Experience mentoring engineers and raising technical standards on a team—through design review, code review, and direct coaching. Ability to communicate complex technical concepts and trade-offs clearly in writing and in person, to technical and non-technical audiences alike. Experience with Git-based workflows, code reviews, and CI/CD pipelines. Experience operating services in production, including on-call ownership and incident response. Preferred Experience with event-driven architectures (Kafka or similar) at meaningful scale. Experience in cloud environments (AWS preferred), including infrastructure-as-code. Experience with highly available or regulated systems (gaming, fintech, payments). Experience contributing to internal web UIs or tooling, including Java-backed web frameworks and/or modern front-end frameworks consuming Java APIs (React, Angular, etc.) Experience working with AI model or agent platforms, including building on or integrating agents into production workflows. Familiarity with platforms such as Anthropic, OpenAI, Amazon Bedrock, LangChain, Google Vertex AI, Microsoft Copilot Studio, CrewAI, or AutoGen is a plus. Fluency with AI-powered coding assistants to design, build, and test new functionality from the ground up—moving quickly while maintaining high code quality and test coverage—and interest in helping the broader team adopt these workflows effectively. Nice to Have Exposure to Salesforce as an integration target or platform—Salesforce APIs, platform events, or light development work in Apex, Lightning Web Components, or Flows. Helpful context, not a requirement. Salesforce certifications (Administrator, Developer). What We Value Passion for building high-quality internal platforms that directly impact business outcomes. Strong ownership mindset: you own the outcome, not just your piece of it. A solutions-first approach—you anticipate problems and bring options, not just escalations. Genuine interest in making other engineers better. Comfort operating in a fast-paced, evolving environment with incomplete information. Ranges will change based on country and state of residence, which are reflected in Geographical Zones defined by Fanatics Betting and Gaming. The range incorporates all of our Geographical Compensation Zones and is subject to change as the Zone associated with the actual offer is confirmed. In addition to the base and bonus, full-time employment, and more. For information about our benefits, please visit https://benefitsatfanatics.com/ Salary Range $1 — $1 USD By submitting your application, you agree to our terms of service and acknowledge you have read our Candidate Privacy Policy. Fanatics will never ask candidates for money, banking information, or other sensitive personal information as part of the interview process. If you receive a suspicious message claiming to be from Fanatics recruiting, please do not respond and report it here .

Location: New York, NY, United States About Us Fanatics is a leading global sports platform redefining how fans connect with the teams, players and moments they love. Our businesses — Fanatics Commerce, Fanatics Collectibles, Fanatics Betting & Gaming, Fanatics Events, Fanatics Advertising, Fanatics Markets and Fanatics Studios — maximize the presence and reach for hundreds of partners globally and create a one-stop experience that allows fans to buy, bet, collect, and earn, while engaging with sports in deeper, more immersive ways. This includes licensed fan gear and lifestyle products, sportsbook and iGaming, physical and digital trading cards, live events, premium sports entertainment content, credit card offerings and more. Together, they form a powerful, integrated ecosystem — connected by the Fanatics ONE loyalty program and FanCash, the currency of sport — delivering personalized experiences to over 100 million fans worldwide. Fanatics holds partnerships with over 900 sports properties, from professional leagues and players’ associations to teams, colleges and retail partners; over 7,000 athletes and celebrities; and over 2,000 retail locations, including all Lids stores. Backed by a team of more than 22,000 employees, Fanatics is committed to relentlessly enhancing the fan experience. Job Summary Fanatics Betting & Gaming (FBG) is building the industry’s most trusted, scalable, and fan-centric sportsbook experience. Our Internal Platforms power critical systems that support customer operations, marketing, support, risk, and data—through a combination of Java backend services, APIs, event-driven systems, and Salesforce platform capabilities. We are seeking a Senior Java Software Engineer to build and maintain scalable services that power our internal platforms. This role is full stack focused, with opportunities to contribute to user-facing internal tools as needed. Experience with Salesforce development and integrations is a strong plus, as many of our systems interface directly with Salesforce for CRM, workflow automation, and customer operations. This is a hands-on engineering role for someone who enjoys owning features end-to-end, solving complex integration problems, and working closely with cross-functional partners. Key Responsibilities Full Stack Engineering (Primary Focus) Design, build, and maintain Java-based backend services (Spring Boot or similar frameworks). Develop scalable, reliable, and well-tested services that integrate with Salesforce and other internal/external systems. Participate in architecture and design discussions for APIs, data flows, and distributed systems. Write high-quality, maintainable code with strong unit and integration test coverage. Troubleshoot and resolve complex issues across services, integrations, and data pipelines. Contribute to internal web applications and user interfaces backed by Java services. Internal UI & Application Development (Nice to Have / Secondary) Collaborate with frontend or full-stack engineers to support internal users across Operations, Support, Marketing, Risk, and Data teams. Partner with Product and UX (where applicable) to translate workflows into intuitive internal tools. Collaborate with backend engineers to define clean API contracts between UI layers and services. UI technologies may include Java-backed web apps, REST-driven front ends, or modern JavaScript frameworks consuming Java APIs. Note: This role does not require deep UI specialization, but comfort collaborating across UI and backend boundaries is valued. Salesforce & CRM Platform Integration (Secondary Focus) Build and maintain integrations between Java services and Salesforce using REST APIs, events, or middleware. Contribute to Salesforce development when needed, including Apex, Lightning Web Components, Flows, and configuration. Partner with Salesforce-focused engineers to ensure clean integration patterns, data integrity, and platform scalability. Help troubleshoot Salesforce-related issues tied to backend services, UI workflows, or integrations. Collaboration & Delivery Work closely with Product Managers, Technical Program Managers, and cross-functional partners to translate requirements into technical solutions. Collaborate with Marketing, Operations, Support, Risk, and Data teams to ensure systems meet business and regulatory needs. Participate in sprint planning, estimation, and delivery, ensuring predictable and high-quality outcomes. Communicate technical decisions, trade-offs, and implementation details clearly to stakeholders. Operational Excellence & Best Practices Follow and help improve engineering best practices including CI/CD, code reviews, testing strategies, and observability. Ensure services are performant, observable, and resilient, with appropriate logging, metrics, and alerting. Contribute to documentation, runbooks, and long-term platform improvements. Identify technical debt and propose pragmatic solutions. Qualifications Required 6+ years of professional software engineering experience with Java. Strong experience building backend services in a production environment. Experience developing APIs and integrating services with other systems. Familiarity with distributed systems, data flows, and service-to-service communication. Experience with Git-based workflows, code reviews, and CI/CD pipelines. Strong problem-solving skills and ability to work independently on complex systems. Excellent communication and collaboration skills. Preferred Experience contributing to internal web UIs or tooling, including: Java-baced web frameworks, and/or Modern front-end frameworks consuming Java APIs (React, Angular, etc.) Experience working with Salesforce as an integration partner or platform: Apex, Lightning Web Components, Flows, or Salesforce APIs Experience integrating Salesforce with Java-based services. Experience with: Event-driven architectures (Kafka or similar) Cloud environments (AWS preferred) Highly available or regulated systems (gaming, fintech, payments) Experience working with AI model or agent platforms, including building on or integrating agents into production workflows. Familiarity with platforms such as Anthropic, OpenAI, Amazon Bedrock, LangChain, Google Vertex AI, Microsoft Copilot Studio, CrewAI, or AutoGen is a plus. Familiarity using AI-powered coding assistants to design, build, and test new functionality from the ground up, with the ability to move quickly while maintaining high code quality and test coverage. Interest in leveraging emerging tools and workflows to improve developer productivity and platform throughput. Salesforce certifications (Administrator, Developer) are a plus, but not required. What We Value Passion for building high-quality internal platforms that directly impact business outcomes. Strong ownership mindset and commitment to engineering excellence. Collaborative approach and desire to continuously learn and improve. Comfort operating in a fast-paced, evolving environment. Depending on the role, your interview and onboarding experience may include in-person components, such as onsite interviews or Launching into Better: LIVE—a multi-day cultural immersion in New York City for full-time, non-seasonal hires. These sessions are designed to build connection and bring our culture to life, though specific travel and participation requirements will be confirmed based on your role and location. Your recruiter will provide clear guidance at each stage of the process. For information about our benefits, please visit https://benefitsatfanatics.com/ Ranges will change based on country and state of residence, which are reflected in Geographical Zones defined by Fanatics Betting and Gaming. The range incorporates all of our Geographical Compensation Zones and is subject to change as the Zone associated with the actual offer is confirmed. In addition to the base and bonus, full-time employment, and more. For information about our benefits, please visit https://benefitsatfanatics.com/ Salary Range $1 — $1 USD By submitting your application, you agree to our terms of service and acknowledge you have read our Candidate Privacy Policy. Fanatics will never ask candidates for money, banking information, or other sensitive personal information as part of the interview process. If you receive a suspicious message claiming to be from Fanatics recruiting, please do not respond and report it here .