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Location: Miami, United States Workplace: hybrid Location: Miami, FL Work Model: Hybrid (regular attendance in the Miami office approximately 1–2 days per week, subject to business needs) Level: Senior Individual Contributor Experience: Minimum 5 years of relevant compliance experience About The Role: Paysend is seeking an experienced Senior Compliance Analyst to support its North American Compliance Program across both the United States and Canada. Operating within the second line of defense, the Senior Compliance Analyst will play a critical role in supporting the Company's regulatory compliance, financial crime compliance, regulatory reporting, examination readiness, remediation management, compliance monitoring, and risk management activities. The role will support compliance with applicable U.S. and Canadian regulatory requirements, including the Bank Secrecy Act (BSA), USA PATRIOT Act, FinCEN regulations, OFAC sanctions requirements, state money transmission laws, FINTRAC requirements, the Proceeds of Crime (Money Laundering) and Terrorist Financing Act (PCMLTFA), the Retail Payment Activities Act (RPAA), and sponsor-bank oversight obligations. The successful candidate will act as an initiative owner for key compliance deliverables and remediation workstreams, helping ensure that Paysend maintains an effective, scalable, and sustainable compliance framework capable of withstanding regulatory review as the business continues to grow across North America. The role requires strong analytical skills, regulatory knowledge, investigative capabilities, sound judgment, and the ability to operate independently in a fast-paced fintech environment. What You'll Do (Responsibilities): Financial Crime Compliance • Review and investigate transaction monitoring alerts, sanctions screening alerts, unusual activity referrals, and escalated compliance cases. • Conduct risk-based investigations using customer, transaction, behavioral, geographic, and typology data to identify suspicious activity and determine appropriate disposition in accordance with internal policies and regulatory requirements. • Escalate potential AML, fraud, sanctions, or regulatory concerns as appropriate and maintain complete documentation supporting investigative conclusions. • Prepare and support Suspicious Activity Reports (SARs), continuing activity reviews, and other regulatory reporting obligations while ensuring adherence to regulatory deadlines and internal service standards. • Support sanctions compliance activities, including OFAC screening reviews, true-match analysis, reporting, testing, tuning, and control validation. Regulatory Compliance & Governance • Support compliance with applicable U.S. and Canadian regulatory requirements, including money transmission, AML/ATF, sanctions, payment services, licensing, and sponsor-bank obligations. • Assist with the development, implementation, and maintenance of compliance policies, procedures, controls, regulatory inventories, compliance calendars, and change management initiatives. • Support preparation and submission of regulatory reports, filings, licensing activities, and sponsor-bank compliance reporting requirements. Canadian Compliance Support • Support the Canadian AML/ATF Compliance Program, including FINTRAC reporting, customer due diligence, enhanced due diligence, sanctions compliance, and policy maintenance activities. • Support implementation and ongoing maintenance of the Retail Payment Activities Act (RPAA) compliance framework, including operational risk management, issue tracking, corrective actions, and regulatory evidence management. Regulatory Examinations, Audits & Remediation • Support regulatory examinations, audits, independent reviews, sponsor-bank reviews, and network assessments by coordinating information requests, documentation, and regulatory responses. • Assist with remediation activities, Management Action Plans (MAPs), corrective action tracking, validation, and closure of regulatory, audit, and independent review findings. Compliance Monitoring, Testing & Risk Management • Execute compliance monitoring, testing, and quality assurance reviews across AML, sanctions, investigations, regulatory reporting, and broader compliance activities. • Assess control effectiveness, identify emerging regulatory, financial crime, fraud, and operational risks, and recommend enhancements to systems, controls, procedures, and workflows. • Support compliance metrics, management reporting, governance reporting, and enterprise risk assessment activities. Regulatory Requests & Cross-Functional Collaboration • Support responses to regulatory inquiries, subpoenas, requests for information (RFIs), law enforcement requests, and 314(a)/314(b) information-sharing activities. • Partner with Compliance, Risk, Fraud, Operations, Product, Legal, Customer Support, and Technology teams to implement compliance initiatives, communicate risks and findings, and support business growth while maintaining regulatory compliance. What You’ll Need To Be Successful In This Role: Bachelor's degree in Business, Finance, Accounting, Criminal Justice, Law, Compliance, Risk Management, or a related field. Minimum 5 years of experience in AML/BSA, sanctions, financial crime compliance, regulatory compliance, compliance monitoring, or risk management. Experience working within a fintech, payments, remittance, money services business (MSB), bank, or regulated financial services environment. Experience conducting investigations, sanctions reviews, and regulatory reporting activities. Experience supporting regulatory examinations, audits, independent reviews, or remediation programs. Strong understanding of risk-based compliance frameworks and financial crime compliance controls. Skills & Competencies Strong analytical and investigative capabilities. Excellent written communication and report-writing skills. Ability to prepare regulator-defensible documentation. Strong organizational and project management skills. Ability to manage multiple priorities and deadlines simultaneously. Sound judgment and risk-based decision-making abilities. Strong attention to detail and quality standards. Ability to work independently with limited supervision. Ability to influence stakeholders and drive remediation initiatives to completion. Work Authorization Applicants must be legally authorized to work in the United States at the time of application and throughout employment. Visa sponsorship is not available for this position. Reasonable Accommodation Paysend is committed to providing reasonable accommodations to qualified individuals with disabilities throughout the recruitment process and employment. Applicants requiring accommodation to participate in the application or interview process should contact the Talent Acquisition team. Equal Employment Opportunity Paysend is an Equal Opportunity Employer and is committed to creating an inclusive workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, sex (including pregnancy, childbirth, and related medical conditions), sexual orientation, gender identity or expression, national origin, ancestry, age, disability, genetic information, marital status, military or veteran status, citizenship status where protected by law, or any other characteristic protected by applicable federal, state, or local law. Additional Information Employment with Paysend is contingent upon successful completion of applicable pre-employment screening, which may include employment verification, education verification, reference checks, and background screening, where permitted by applicable law. Personal information submitted during the recruitment process will be processed in accordance with applicable privacy laws and Paysend's Applicant Privacy Notice. Why Join Paysend? Make a Global Impact: Join a company that is transforming how people and businesses move money around the world. Your work will contribute to products and services that help millions of customers stay connected globally. Own Meaningful Outcomes: We empower our people to take ownership, make decisions, and drive real impact. You'll have the opportunity to shape solutions, challenge the status quo, and see the results of your work firsthand. Grow with Us: As a fast-growing global fintech, we offer opportunities to learn, develop new skills, take on new challenges, and advance your career across functions and geographies. Collaborate with Exceptional People: Work alongside talented colleagues from diverse backgrounds and disciplines who are united by a shared ambition to build, innovate, and deliver great outcomes for our customers. Move Fast and Make Things Happen: We value action, curiosity, and continuous improvement. You'll be part of a culture that encourages experimentation, embraces change, and focuses on delivering meaningful results. Be Part of Our Journey: We're building the future of the global money movement. Join us at an exciting stage of growth where your ideas, expertise, and contributions can help shape what's next.

Location: Kuala Lumpur, Malaysia About Our Client Our client is a global organization operating within the financial services and trading industry, providing individuals with access to a wide range of financial markets, including equities, commodities, and foreign exchange. With over two decades of experience, the company has built a strong international presence, serving a diverse customer base across multiple regions. The organization focuses on delivering innovative products, user-friendly platforms, and data-driven insights to support clients in making informed financial decisions. The company offers a dynamic, multicultural environment where employees are encouraged to develop their skills, contribute to meaningful business outcomes, and grow their careers alongside talented professionals from around the world. Job Description Reporting to the Team Lead / Senior Relationship Manager As a Relationship Manager, you will focus on onboarding new clients and supporting the growth of these accounts through a value-based relationship approach. You will work in a team comprising culturally diverse professionals with different skill sets who support each other in delivering impactful results. Key Responsibilities Meet and exceed personal and team KPI targets. Activate, retain, and grow your customer portfolio through personalized voice and social media engagement. Develop professional and trusted relationships with your portfolio of clients, ensuring they receive a high level of service and support. Research and identify opportunities to develop new prospects and assess customer potential. Prepare and execute effective sales activities using available tools, reports, action items, and business insights. Understand customer needs and recommend appropriate solutions. Collaborate with relevant departments to resolve issues and complaints in a timely manner. Provide feedback to relevant teams regarding customer needs, expectations, and challenges. Continuously develop knowledge of financial markets and the company's products and services. Maintain accurate daily, weekly, and monthly reports as required by management. Adhere to all compliance, regulatory, and security requirements. Stay informed about global economic indicators, central bank decisions, and geopolitical developments that may impact financial markets. Translate complex financial and economic information into clear, client-friendly insights. Undertake any additional duties and responsibilities as required. Qualifications Skills & Qualifications Native Tamil speaker with fluency in English; additional languages will be considered an advantage. Strong understanding of forex trading, currency pairs, and the factors influencing market movements. Ability to analyze financial markets, economic indicators, and macroeconomic trends. Excellent client relationship management, interpersonal, and communication skills. Familiarity with financial regulations and licensing requirements relevant to the industry. Experience working in a sales role within a CFD broker or financial trading environment. Experience managing a sales team within a CFD broker environment is considered an advantage. Bachelor's degree or equivalent qualification in Business, Finance, Economics, or a related field. Excellent verbal and written communication skills, with the ability to manage multiple priorities and engage effectively with stakeholders. Strong interpersonal, analytical, and problem-solving skills. Self-motivated and able to work independently in a fast-paced, target-driven environment. Proactive mindset with a commitment to continuous improvement. Positive attitude and strong team-player mentality. Benefits Hybrid working arrangements (subject to business requirements and manager approval). Discretionary performance-related bonus. Flexible benefits package. Wellbeing initiatives, including access to learning and self-development resources. Medical insurance coverage for employees and eligible dependents. Additional Information Our client is committed to fostering an inclusive workplace and welcomes applications from qualified candidates from diverse backgrounds.

Location: Kuala Lumpur, Malaysia About Our Client Our client is a global organization operating within the financial services and trading industry, providing individuals with access to a wide range of financial markets, including equities, commodities, and foreign exchange. With over two decades of experience, the company has built a strong international presence, serving a diverse customer base across multiple regions. The organization focuses on delivering innovative products, user-friendly platforms, and data-driven insights to support clients in making informed financial decisions. The company offers a dynamic, multicultural environment where employees are encouraged to develop their skills, contribute to meaningful business outcomes, and grow their careers alongside talented professionals from around the world. Job Description Reporting to the Team Lead / Senior Relationship Manager As a Relationship Manager, you will focus on onboarding new clients and supporting the growth of these accounts through a value-based relationship approach. You will work in a team comprising culturally diverse professionals with different skill sets who support each other in delivering impactful results. Key Responsibilities Meet and exceed personal and team KPI targets. Activate, retain, and grow your customer portfolio through personalized voice and social media engagement. Develop professional and trusted relationships with your portfolio of clients, ensuring they receive a high level of service and support. Research and identify opportunities to develop new prospects and assess customer potential. Prepare and execute effective sales activities using available tools, reports, action items, and business insights. Understand customer needs and recommend appropriate solutions. Collaborate with relevant departments to resolve issues and complaints in a timely manner. Provide feedback to relevant teams regarding customer needs, expectations, and challenges. Continuously develop knowledge of financial markets and the company's products and services. Maintain accurate daily, weekly, and monthly reports as required by management. Adhere to all compliance, regulatory, and security requirements. Stay informed about global economic indicators, central bank decisions, and geopolitical developments that may impact financial markets. Translate complex financial and economic information into clear, client-friendly insights. Undertake any additional duties and responsibilities as required. Qualifications Skills & Qualifications Native Malayalam speaker with fluency in English; additional languages will be considered an advantage. Strong understanding of forex trading, currency pairs, and the factors influencing market movements. Ability to analyze financial markets, economic indicators, and macroeconomic trends. Excellent client relationship management, interpersonal, and communication skills. Familiarity with financial regulations and licensing requirements relevant to the industry. Experience working in a sales role within a CFD broker or financial trading environment. Experience managing a sales team within a CFD broker environment is considered an advantage. Bachelor's degree or equivalent qualification in Business, Finance, Economics, or a related field. Excellent verbal and written communication skills, with the ability to manage multiple priorities and engage effectively with stakeholders. Strong interpersonal, analytical, and problem-solving skills. Self-motivated and able to work independently in a fast-paced, target-driven environment. Proactive mindset with a commitment to continuous improvement. Positive attitude and strong team-player mentality. Benefits Hybrid working arrangements (subject to business requirements and manager approval). Discretionary performance-related bonus. Flexible benefits package. Wellbeing initiatives, including access to learning and self-development resources. Medical insurance coverage for employees and eligible dependents. Additional Information Our client is committed to fostering an inclusive workplace and welcomes applications from qualified candidates from diverse backgrounds.

Location: Mumbai, India; Bengaluru, India; Lahore, Pakistan; Dubai, United Arab Emirates Eram Talent is looking for a skilled SAP Finance & Controlling Consultant with specialized knowledge in SAP S/4HANA to join our team in Saudi Arabia. The consultant will be responsible for implementing and supporting SAP Finance and Controlling modules to enhance business processes and financial operations for our clients. Key Responsibilities 1. Solution Design & Implementation Lead requirement gathering, fit-gap analysis, and solution design workshops for SAP S/4HANA Finance. Configure and implement as per business requirement: General Ledger Accounting (New GL) including document splitting, parallel ledgers, centralized postings, and financial reporting. Accounts Payable (AP) including vendor invoicing, payment programs, ageing reports, and integration with procurement. Accounts Receivable (AR) including customer invoicing, dunning, credit management, and integration with sales/contract modules. Fixed Assets Accounting covering asset acquisition, capitalization, depreciation, retirement, and year-end asset closing. Bank Accounting including house banks, automated bank statement processing, EBS, and integration with online banking (host-to-host or SFTP) for automated reconciliation and payments. Treasury & Risk Management (TRM) Flexible Real Estate Management (REFX) including lease-in/lease-out, real estate contracts, valuation, and IFRS compliance. Controlling (CO) including cost elements, cost centers, internal orders, budgeting, allocations, and reporting. Lead the review, rationalization, and redesign of supplier payment processing controls including payment terms, withholding tax, zakat deductions, retention management, and related financial governance processes. Design and implement standardized Accounts Payable controls to improve payment accuracy, statutory compliance, audit readiness, reporting transparency, and master data governance across Finance and Procurement functions. Coordinate with Finance, Tax, Procurement, and IT stakeholders to define and implement target operating models, validation controls, approval workflows, reporting requirements, and governance frameworks for payment terms and statutory deduction processes. 2. Business Process Integration Collaborate with cross-functional teams (MM, PM, PS, HR, Procurement – ARIBA & SRM). Ensure end-to-end process connectivity across procure-to-pay, order-to-cash, asset lifecycle, and budget control processes. Support integration with online banking systems , and third-party systems if applicable. Understanding of IDocs, BAPIs, interfaces, Fiori apps, and workflows. Experience with SAP Fiori for Finance. 3. Testing, Training & Support Prepare detailed configuration documents, functional specifications, and test scripts. Conduct unit testing, SIT, UAT, and cutover activities. Deliver user training and prepare training materials. Provide post-go-live support and continuous process improvements. Requirements Bachelor’s Degree in Finance or related discipline. SAP FI or CO certification. Minimum 10+ years of SAP Finance/Controlling experience. Minimum 3 full project lifecycles in SAP ECC or S/4. Minimum 2 SAP S/4HANA conversion / implementation project experience. Strong expertise in: FI: GL/AP/AR/AA/Bank Accounting CO: Cost Center, Cost Element, Internal Orders REFX – Lease and Real Estate Contract Management Deep understanding of Universal Journal , New Asset Accounting , Bank Communication Management , Automatic Payments (F110) . Experience with Financial Closing , Year-end Activities , and IFRS/GAAP compliance . Experience in the Oil & Gas or large industrial sectors would be an advantage.

Location: Al Khobar, Saudi Arabia Eram Talent is looking for a meticulous and reliable Accountant/Bookkeeper to manage accurate financial records and ensure the integrity of all accounting transactions. The Accountant/Bookkeeper maintains accurate financial records and supports reporting, payroll, and analysis to enable sound financial management and timely decision-making. Reporting to the Operations Manager, the role owns day-to-day bookkeeping including journal entries, accounts payable and receivable, bank reconciliations, and ledger maintenance. It prepares periodic financial statements and management reports, processes payroll and related statutory deductions, supports budgeting and cashflow tracking, monitors expenses against budget, and assists with audits, tax filings, and compliance. The role also provides financial analysis and insights to support operational and commercial decisions, coordinating cross-functionally with HR on payroll and with operations on budgets. The ideal candidate has 3–5 years of relevant experience. Key Responsibilities Record and maintain all financial transactions including purchases, sales, receipts, and payments. Maintain and update general ledgers and reconcile accounts. Prepare bank reconciliations and ensure discrepancies are resolved timely. Assist with payroll processing and related accounting entries. Prepare and submit timely financial reports to management. Full-cycle bookkeeping: journals, AP/AR, ledger maintenance, and bank reconciliations Financial statement preparation and periodic management reporting Payroll processing and statutory deductions/compliance Budgeting, cashflow monitoring, and expense control Financial analysis, variance analysis, and reporting dashboards Audit support, tax filing, and regulatory compliance Chart of accounts management and month-end/year-end close Requirements Bachelor's degree in Accounting, Finance, or related field; part-qualified certification (e.g., CPA, ACCA, CMA) is an advantage 3 - 5 years of proven experience as an accountant or bookkeeper. Accounting software proficiency (e.g., QuickBooks, Xero, Zoho, or similar) Strong knowledge of accounting principles and practices. Proficiency in accounting software and Microsoft Office (Excel in particular). Excellent attention to detail and organizational skills. Ability to manage multiple tasks and meet deadlines. Good communication skills in English (both written and verbal). Knowledge of local tax and VAT regulations is a plus.

Location: San Francisco, CA 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 Enterprise is central to Anthropic's mission. The organizations that could benefit most from Claude are often the most demanding buyers, with rigorous requirements around security, compliance, and control. We believe earning their trust is essential to ensuring AI benefits the world broadly. We're looking for an engineering manager for our Enterprise pillar —the team that makes Claude enterprise-ready at scale. When a Fortune 500 company wants to roll out Claude to 100,000 employees, we're the team that makes it possible. You'll build the foundational systems that large organizations require before they can deploy AI at scale. This work directly converts product-market fit into revenue by removing the deployment blockers that prevent large organizations from adopting Claude broadly. This role sits at the intersection of enterprise product, platform infrastructure, and go-to-market. You'll partner closely with product, design, sales, and customer success to understand what our largest customers need, then translate those requirements into scalable technical solutions that work across Claude.ai , Claude Code, and API. Responsibilities Lead and develop a team of engineers building out features and foundations that make Claude enterprise-ready at scale Own engineering execution end-to-end: planning, prioritization, delivery quality, team health, and incident response Partner with engineering teams throughout the company to ensure that the platforms we build are extensible and easy to adopt Partner with sales and customer success on enterprise deals—understanding requirements, representing engineering in key conversations, and turning what you learn into priorities Shape the roadmap with product and design, not just execute against it Drive the compliance and platform-readiness work your customers require, partnering with security and legal Recruit, onboard, and grow strong engineers; give direct feedback and build a healthy, high-performing team Minimum qualifications 4+ years of experience as an engineering manager, with experience in enterprise SaaS, cloud services, or admin tools Are comfortable executing at a fast pace to meet the expectations of our customers Are detail-oriented and quality-focused - our customers are using Claude for critical workflows and our product needs to stay robust and reliable Are comfortable working with enterprise customers, working alongside sales and customer success and joining customer conversations Are a skilled engineering manager who treats management as a craft—clear feedback, strong 1:1s, consistent investment in your team's growth Preferred qualifications Experience with AI/ML products and understanding how enterprises evaluate and deploy AI tools Background with compliance frameworks for regulated industries (SOC2, HIPAA) and enterprise audit logging requirements Experience building integrations, permissions, billing, or pricing infrastructure Familiarity with data residency and sovereignty requirements across global regions Startup experience, particularly in scaling enterprise platforms from early adoption to broad deployment Experience in working with research to improve domain specific model capabilities 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: $405,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. 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: Remote - Canada 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 Product Manager on Twilio’s Onboarding and Compliance product team. About the job Twilio is looking for a highly skilled and motivated Product Manager to join our Onboarding and Compliance team for Senders and Numbers. Twilio has numerous different types of Senders and Numbers, which are the gateway to accessing all of Twilio’s communication APIs. It is crucial for customers accessing Senders and Numbers to properly register in accordance with local telecommunications regulations, but we also need to make it easy for customers to gain access. In this role, you will own various Senders and Numbers products where you will aim to create streamlined and lovable onboarding experiences while also maintaining best in class compliance standards. Responsibilities In this role, you’ll: Collect and develop business requirements and collaborate with engineering teams to translate these requirements into user stories Partner with cross functional stakeholders to drive product planning, design, execution, and delivery of product investments against defined success metrics Develop, communicate, generate excitement for and obtain buy-in of the product vision, strategy, and roadmap Partner with GTM to launch products and enable sales and marketing teams to obtain product adoption and growth Conduct regular data-driven business reviews that analyze product execution and revenue/market accomplishments. 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: Minimum of 8 years of experience in product management in SaaS, IaaS or PaaS Proven track record of leading successful product launches and driving product strategies Command of analytical thinking skills with the ability to use quantitative and qualitative data to make product decisions, get executive buy-in, and drive towards measurable outcomes Excellent communication and interpersonal skills, with the ability to influence and collaborate at all levels and present effectively to internal and external stakeholders Strong technical, analytical, and UI/UX design understanding and the ability to dive deep while also keeping perspective on the big picture goals Initiative, ownership, and accountability to decode vague priorities, manage conflicting inputs, and drive initiatives forward against ambiguous and complex challenges Experience with the cloud, APIs, communications, and/or enterprise software Bachelor in Computer Science, Engineering, or equivalent practical experience Desired: Experience building products/services related to APIs, developer experience Experience working in a regulated ecosystem Location This role will be remote and based in Ontario, British Columbia or Alberta, Canada. 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. The estimated pay ranges for this role are as follows: Based in British Columbia. : $145,840.00 - $ 182,300.00 Target Bonus Percentage 15% 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 October 12, 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: Remote-Friendly (Travel-Required) | San Francisco, CA | Seattle, WA | 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 Inference organization serves Claude to millions of users and enterprise customers with the speed, reliability, and efficiency that frontier AI demands. We build across GPUs, TPUs, and Trainium, and the complexity of our development environment grows with every platform we add. We're looking for a Staff engineer to be the technical lead for Inference Developer Productivity: the team that makes every engineer in the org dramatically more effective at building, testing, and shipping inference software. This is a senior IC role with broad technical ownership. You'll set technical direction for the team's toolchains, workflows, and feedback loops, and you'll be the one making the hard calls on architecture, prioritization, and tradeoffs across heterogeneous accelerator platforms. You'll pair with the team's Engineering Manager, who owns hiring and people development, while you own the technical roadmap and drive the work. You'll also partner closely with Anthropic's central Infrastructure org, where company-wide developer productivity lives, to make sure Inference's multi-accelerator reality is well served without duplicating effort. This role is for someone who has been the technical anchor on a platform or infrastructure team before, who thinks in systems and feedback loops, and who gets real satisfaction from the moment another engineer stops fighting their environment and starts shipping. Key responsibilities Set technical direction for Inference Developer Productivity, owning the architecture and roadmap for toolchains, dev environments, and CI/CD across GPU (CUDA), TPU, and Trainium platforms Be the technical owner of accelerator toolchain management: compilers, drivers, libraries, frameworks, kept current, compatible, and well-tested so Inference engineers focus on model serving instead of environment archaeology Design and build infrastructure for efficient accelerator usage during development, including devbox environments, pre- and post-land validation automation, and shared tooling that reduces the cost of working across heterogeneous hardware Define and instrument productivity metrics for the Inference org, building the dashboards and alerting that surface regressions early (smoke tests red for extended periods, build times creeping up, toolchain breakages) and drive them to resolution Proactively hunt down bottlenecks, toil, and friction across Inference engineering workflows, then design and build the systems that eliminate them Act as the technical counterpart to Anthropic's central Infrastructure org, aligning on shared developer productivity initiatives, contributing Inference-specific requirements, and making the call on build vs. adopt Mentor engineers on the team through design review, code review, and direct collaboration, raising the technical bar without owning headcount Minimum qualifications 8+ years of software engineering experience, with significant time as the technical lead or anchor on an infrastructure, platform, or developer productivity team Deep background in systems engineering, build/test infrastructure, or ML infrastructure, with the ability to go hands-on with toolchain issues, CI/CD pipelines, and developer workflow optimization Experience owning toolchains or development environments for compute-intensive workloads (ML training or inference, HPC, large-scale distributed systems) Real depth in at least one accelerator ecosystem (CUDA/GPU, TPU, or Trainium/AWS Neuron) and genuine appetite to learn the others A track record of defining and using engineering metrics to drive improvement: you've built dashboards, set SLOs on developer workflows, or led initiatives that measurably improved engineering velocity Experience driving technical alignment across organizational boundaries, advocating for your team's needs while contributing to shared infrastructure Strong written and verbal communication, and the ability to influence technical direction without formal authority Preferred qualifications Experience with ML compiler toolchains (XLA, Triton, NeuronX) or accelerator driver/firmware management at scale Background building or running shared development environments (devboxes, remote development, ephemeral environments) for hardware-dependent workflows Experience with CI/CD systems at scale, particularly for workloads involving accelerator hardware Familiarity with Kubernetes-based development and job scheduling environments Prior tech lead experience on a developer productivity or platform engineering team at a fast-growing AI/ML company 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: $405,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. 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: London, UK Workplace: Hybrid Sensor Tower’s digital intelligence platform provides unparalleled insight into market trends, advertising, competitor’s strategies, and consumer/user audience across mobile, web, and gaming. Sensor Tower’s insights are trusted by more than 2,500 enterprises worldwide across tech, retail/commerce, entertainment/media, gaming, consumer packaged goods and finance. Who You Are You are a DevOps engineer with software development background who likes working on everything that helps to improve the quality of life for your team and providing your expertise in creating a performant CI/CD stack to boost the code development/build process. What You’ll Do - Collaborate closely with our engineering team to help them be more productive by improving development tools. - Maintain a strong connection to the product and remain comfortable engaging in direct feature development - You will take ownership of CI/CD stack, keeping it robust, observable, stable, and performant. - Research, implement, and develop tools to help developers write new code. - Ensure the CI/CD infrastructure and process is reliable and consistent. What we’re looking for - Solid background in Linux. - Experience in CI/CD stack development and maintenance. - Working proficiency with Ruby, Javascript or Python. - Knowledge of AWS technologies (EC2, load balancing, auto-scaling, IAM, S3, Route53, etc.). - Telemetry and monitoring experience (OpenTelemetry, Grafana, Kibana). - Experience with containerization (Docker, Kubernetes, etc). What we’d be particularly excited about - Experience with CI build time optimization especially with Jenkins, Rspec and Cypress/Playwright. - Familiarity with databases like MongoDB and/or ClickHouse. - Experience with build systems like Webpack, Gradle, etc. - Proficiency with the CI tools like Jenkins, TeamCity, etc. What you’ll learn: - You’ll learn about the Ruby language and the Rails framework since it’s used in many aspects of our projects and tools. - You’ll gain deep insights into infrastructure automation using technologies such as Ansible and Terraform since they are central to our deployment strategies. Blog Posts Read more about some of our Technical challenges here (written by members of our engineering team): https://sensortower.com/blog/how-we-scaled-to-thousands-of-sidekiq-workers   About Sensor Tower Sensor Tower is a global provider of digital intelligence solutions, empowering companies to understand consumer behavior and market performance across mobile apps, digital platforms, and gaming ecosystems. Headquartered in San Francisco, Sensor Tower's insights are trusted by more than 2,500 enterprises worldwide. Founded in 2013, Sensor Tower’s market insights have helped marketers, app developers, and gaming leaders demystify the mobile app ecosystem with visibility into usage, engagement, and paid acquisition strategies. Today, Sensor Tower’s digital market insights platform has expanded to include Gaming, Web, Audience, and Digital Advertising Insights, helping global leaders understand market trends and their competitor’s strategies and audiences across the entire digital ecosystem. Why Sensor Tower? Our flexible work environment allows employees to live in greater connection with the people, places, and activities they love! GLOBAL TEAMS Sensor Tower has a global presence, with teams across the world and available in most time zones, including North America, Europe, Middle East, Africa, APAC and LATAM. We maintain regional offices in SF, LA, NY, London, Singapore, Beijing, Seoul, Tokyo and Vancouver. We are committed to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, and veteran status. We will consider qualified applicants with arrest and conviction records. If you have a disability or special need, please do not hesitate to let us know and we'll do our best to accommodate. Fraud warning: It's common for scammers to create positions that look legitimate on other sites. To ensure your submission is considered, only apply for positions at Sensor Tower through our company website or through posts directly associated with Sensor Tower company profiles on sites such as LinkedIn, Indeed, BuiltIn or Hackajob. At no point will Sensor Tower ever ask for money, credit card, or bank account information to complete a job application. Communications received from Sensor Tower are only sent by e-mail addresses ending in sensortower.com http://sensortower.com. All Sensor Tower interviews will be conducted via phone or Zoom. At no time will a conversation be moved to an alternative email outside of sensortower.com http://sensortower.com or text. Should an issue arise that you feel we should be aware of, please contact us. Please provide your resume when applying. To all recruitment agencies: Sensor Tower does not accept third party resumes. Please do not send resumes to our jobs alias, Sensor Tower employees or any other organization location. Sensor Tower is not responsible for any fees related to unsolicited resumes. Sensor Tower will not pay any third-party agency or company that does not have a signed agreement with Sensor Tower. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Location: San Francisco, CA | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role Anthropic's API is the foundation that customers, developers, and our own products build on, and it is scaling fast. We're hiring a Technical Program Manager to drive the scaling and core efficiency programs for the API stack, working at the intersection of the API and the infrastructure it runs on (compute, databases, networking, and inference). Today this work spans many teams and many simultaneous programs, with no single person focused on cohesion across them. You'll be the center: the person who connects isolated workstreams into one coherent roadmap, makes cross-org dependencies visible before they become blockers, and creates clarity on who owns which decisions. Success looks like an API stack that scales efficiently and predictably, with programs that land because someone is accountable for the whole picture. Responsibilities Drive scaling and core efficiency programs for the API stack from architectural direction through sequenced, deliverable execution Run multiple large programs simultaneously across infrastructure, networking, and the API layer Act as the connective tissue between API, infrastructure, database, networking, and inference teams, owning cross-org dependencies end to end Establish decision-making clarity: who owns what, where trade-offs get made, and how isolated streams roll up into one program view Surface risks, progress, and trade-offs to engineering leadership with the right altitude and cadence You may be a good fit if you Have 7+ years of technical program management experience, with a track record of successfully delivering complex, cross-functional programs Have experience with API platforms, distributed systems, and core infrastructure programs and can engage meaningfully with the engineers who design and operate them Have driven scaling, performance, or efficiency programs for high-volume production systems, including the tradeoffs across performance, reliability, and cost Have coordinated programs spanning many partner organizations, managing cross-team dependencies, commitments, and escalations at the working level Are highly organized and can manage multiple parallel workstreams effectively across distributed teams Thrive in unstructured environments with a knack for bringing order to chaos and creating clarity in ambiguous situations, including where decision ownership is unclear Have excellent written and verbal communication skills, with the ability to influence without authority Are passionate about Anthropic's mission and interested in the challenges of operating AI infrastructure safely and reliably 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: $290,000 — $435,000 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: Copenhagen, Denmark Workplace: hybrid EveryMatrix is a leading B2B Software provider delivering iGaming software, content and services. We are looking for a Corporate Development professional to join our Copenhagen office , a high impact role working closely with C-level leadership to drive M&A and strategic initiatives across our global organization. About the job: This role sits within the CEO Office and Corporate Development team, working closely with executive management on the company’s most important strategic and investment priorities. This is a unique opportunity to move from advisory to impact, working directly with senior leadership to shape and execute the company’s long term strategy. You will play a key role in shaping and executing our inorganic growth strategy, supporting M&A processes end to end while also contributing to broader strategic initiatives across the business. As part of a lean and high exposure team, you will have direct impact on investment decisions, strategic direction, and value creation, while helping build the frameworks and processes to support a growing global organization. What you will get to do: Support and manage end-to-end M&A processes including sourcing, evaluation, due diligence and execution Develop detailed financial models and valuation analyses to support investment decisions Conduct market, competitor and peer group analyses to identify opportunities Coordinate cross functional due diligence across key business areas Prepare investment materials and strategic analyses for executive leadership Support post merger integration planning and performance tracking Perform internal financial and operational analyses to support decision making Collaborate with business units on strategic initiatives and growth opportunities Support development of corporate development processes and frameworks What we are looking for: Master’s degree in Finance, Economics, Business or a related field 3-5 years of experience in investment banking, transaction services, corporate development or a similar role Strong financial modelling and valuation skills Solid analytical and problem solving capabilities Ability to manage projects and drive execution in a fast paced environment Strong communication and stakeholder management skills High level of ownership and attention to detail Experience in tech, software or iGaming is a plus Willingness to travel as required Experience using AI-powered tools (e.g. Claude, ChatGPT, Gemini, or similar) to support analysis, problem-solving and research is considered a strong advantage. Our Copenhagen office is growing and hosts key members of our leadership team, providing close proximity to decision-makers. Based at our new office at Sankt Annæ Plads, you will join a great working environment in a prime location - combining a relaxed, collaborative atmosphere with a highly ambitious and high-performing culture. What you can expect of us: Flexible hybrid work schedule after your first three months with us (with up to 50 days of work from home per year). Benefit from two Free Fridays each year, limited to one per quarter. Access to Gym. Access to online learning platforms like Udemy for Business and LinkedIn Learning, and a budget for external training. Access to an Employee Assistance Program through TELUS Health At EveryMatrix, we're committed to creating a supportive and inclusive workplace where you can thrive both personally and professionally. Join us on this exciting journey as we continue to redefine the iGaming landscape, one groundbreaking solution at a time! We provide casino, sports betting, platform and payments, and affiliate management to more than 300 customers worldwide. But that's not all! We're not just about numbers, we're about people. With a team of over 1400 passionate individuals spread across twelve countries in Europe and Asia, we're all united by our love for innovation and teamwork. EveryMatrix is a member of the World Lottery Association (WLA) and European Lotteries Association. In September 2023 it became the first iGaming supplier to receive WLA Safer Gambling Certification. EveryMatrix is proud of its commitment to safer gambling and player protection whilst producing market leading gaming solutions.

Location: UK, London Workplace: OnSite Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further. ABOUT THE ROLE: We are looking for a Software Engineer to work on the systems that let operators author, deploy, and manage robot workflows at scale. This sits at the intersection of backend infrastructure and product - you'll build the services that coordinate fleets of robots, the tooling that lets operators express what they want robots to do, and the interfaces that give visibility into what's actually happening on the floor. This is a full-stack role with a strong backend lean. You'll work closely with the robotics, AI, and product teams to build systems that are real-time, multi-tenant, and mission-critical. WHAT YOU’LL DO - Build and maintain backend services that coordinate robot fleets at runtime: workflow state management, event logging, and the APIs that robots, operators, and third-party systems use to interact with the platform - Develop and evolve the workflow authoring experience - tooling that lets operators define, deploy, and incrementally refine robot workflows in natural language, without needing to understand the underlying representation - Build on-robot services that enable remote control, workflow execution, state reporting, and diagnostics - Own the data infrastructure that tracks workflow execution: event logs, conformance metrics, and the audit trails that let operators understand what robots are doing and why - Build and maintain reliable, secure cloud infrastructure for running these services, including deployment pipelines, observability, and alerting - Implement testing and validation pipelines to catch regressions across the UI, backend, and on-robot services - including simulation-based workflow validation before changes hit production WHAT WE’RE LOOKING FOR - Strong backend engineering skills in Python, Go, or similar - Solid understanding of API design, data modelling, and the tradeoffs in distributed systems (consistency, concurrency, fault tolerance) - Experience with cloud infrastructure and deployment: containerisation, CI/CD, infrastructure-as-code - Comfort working across the stack from frontend to backend - Experience with observability and alerting in systems where failures have real operational consequences - Good instincts for where complexity should live and how to keep systems debuggable and understandable as they grow NICE TO HAVE - Familiarity with workflow engines, state machines, or coordination systems — ideally in a multi-agent or fleet context - Experience building operator-facing tooling: dashboards, authoring UIs, or systems that translate human intent into structured actions - Exposure to LLM-based agentic systems, particularly using AI to generate or modify structured representations from natural language - Experience integrating with third-party enterprise systems (WMS, ERP, or similar) - Background in robotics or real-time systems where execution state and side-effects need to be managed carefully WHAT WE OFFER - Competitive equity: stock options with meaningful upside as we scale. - 30+ paid days off, including 23 days of annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown). - Private healthcare, including virtual and in-person care. - Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings. - Free daily breakfast, catered lunch, and snacks in-office. - Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics. - Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.

Location: UK, London Workplace: OnSite Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further. ABOUT THE ROLE: We are looking for a Software Engineer to own the device software and data pipeline for our UMI data collection devices - handheld gripper systems used by human operators to demonstrate manipulation tasks. The data they produce is used to train our robots, so the quality of what you ship determines the quality of robots we deploy. This is a deeply technical, hands-on role. You will write production-grade device software, build reliable sensor fusion and recording pipelines, and own the validation tooling that keeps our training datasets clean. You will work closely with hardware, AI, and data collection teams. WHAT YOU’LL DO: - Develop and maintain device software across the full episode lifecycle: session initialisation, per-sensor stream management, episode recording, and graceful shutdown - Integrate and synchronise sensor streams - wrist and head cameras, 6-DOF pose trackers, gripper aperture encoders, and optionally force/torque sensors - into temporally-aligned, policy-consumable trajectories - Define and maintain the data contract between UMI devices and the AI team: stream formats, episode packaging, metadata schemas, and the interface between raw recordings and training pipelines - Build and maintain data validation tooling that detects dropped frames, timing jitter, pose tracking loss, image quality degradation, and sensor faults before corrupt episodes enter the training dataset - Own operator-facing device software: status indication, start/stop/cancel episode controls, and clear feedback when a session needs to be retried - Support field data collection sessions - deploying devices to operators, validating data quality in situ, and iterating quickly when issues surface during collection - Debug integration failures on device hardware: camera driver issues, bus bandwidth saturation, tracker calibration drift, compute thermal throttling, and storage write failures mid-episode WE’RE LOOKING FOR: - Experience in embedded or device-level software in a robotics or sensing context - writing code that runs on the device, not just talking to it - Proficiency in C++ and/or Python for real-time sensor drivers, inter-process communication, and data recording pipelines - Solid understanding of multi-modal sensor synchronisation - timestamps, hardware triggers, clock drift - and the practical consequences of getting it wrong for downstream ML - Familiarity with camera pipelines and the difference between what a sensor reports and what actually lands on disk with correct timing - Strong instincts around data quality and dataset hygiene - you are uncomfortable shipping episodes with frame drops, tracking loss, or misaligned streams - Proven ability to debug on real hardware: you read logs, attach profilers, and can diagnose whether a problem is a driver, a bus, or a timing issue NICE TO HAVE: - Experience with 6-DOF pose tracking systems (VIO, optical trackers, or similar) and their common failure modes - Familiarity with ML training data formats and what an AI team actually needs from a recorded episode - understanding the consumer of the data you produce - Exposure to operator-facing tooling for data collection: session management, per-episode quality summaries, rejection and retry workflows - Experience scaling device software from a small number of prototype units to many devices operated by non-engineers in the field WHAT WE OFFER - Competitive equity: stock options with meaningful upside as we scale. - 30+ paid days off, including 23 days of annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown). - Private healthcare, including virtual and in-person care. - Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings. - Free daily breakfast, catered lunch, and snacks in-office. - Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics. - Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.

Location: United Kingdom Brainlabs is the independent, founder-led agency building the future of media. We have over 1000 Brainlabbers based across the global, all united through the 12 principles laid out in our Culture Code. We're full-service, with people and AI agents working side by side, all aligned to one thing: maximizing our clients' revenue through a genuinely scientific approach to media. If you want to help play your part in achieving this for the world's biggest brands in an environment that will support and challenge you in equal measure, this is where you do it. So you’re interested in becoming a Client Partner? Let's dive into what that means: This role helps to build high-value, long-term relationships with clients. From winning new clients through to growing existing clients you will focus on delivery indispensable client relationships and performance. You represent Brainlabs as a ‘window’ through which excellent strategy, planning and media solutions are delivered. You run the client account with flawless execution, being a key stakeholder for the client. You deliver high quality client delivery and responses and commercial success for Brainlabs. In this role you will: Pitch and help win new clients in your area of sector/vertical expertise. Help deliver strategic client growth plans for your clients, growing additional client revenue by up/cross-selling Brainlabs solutions, products and services, tailored to your client vertical. Understand your clients business and ensure the SOW is fulfilled. Exercise judgement in creating solutions for clients. Develop your portfolio of client case studies and articles promoting Brainlabs solutions. Actively anticipate client challenges and build tailored strategy, planning and activation solutions. We’re looking for someone who: Has significant experience of delivering full service strategy, planning and activation solutions to clients. Has a media agency background. Has proven client leadership skills and are already be a trusted advisor to a number of clients. Has applied knowledge of how marketing/media effectiveness links directly to business growth and financial success for clients. Is a great storyteller and presenter with proven pitch experience. Is a brilliant communicator, relationship builder and capable of translating challenges into real media solutions. Is a natural problem solver who enjoys providing solutions for clients. Understands full end-to-end workings of a full-service media agency and how component parts work to deliver an integrated solution. And this is what success looks like in the role: You will live our culture code every day! You’ll become an indispensable trusted, strategic adviser to your clients. Award wins for your client solutions Minimum 7+ TRR scores or CSAT Internal profitability metric hit such as DLM, revenue targets A growing portfolio of revenue across your client or portfolio of clients Evidence of broad revenue sources for your client via multiple Brainlabs products Increasing profile in the media world in your sector/marketing prompting Brainlabs and your client success Be revenue hungry and pitch successfully Make your client stakeholders famous and successful! What happens next? We know searching for a job is tough and that you want to find the best career and employer for you. We also want to ensure that this position is the best fit for both you and us. Therefore, you will participate in a comprehensive interview process that includes skills interviews with our team. The goal of this process is to allow you to get to know us as we learn more about you. A note on our offices: We pride ourselves in being a company with an office-centric culture and, for the majority of roles we expect people to be in commuting distance of the office and come in for around 3 days per week. Brainlabs actively seeks and encourages applications from candidates with diverse backgrounds and identities. We are proud to be an equal opportunity workplace: we are committed to equal opportunity for all applicants and employees regardless of age, disability, sex, gender reassignment, sexual orientation, pregnancy and maternity, race, religion, or belief, and marriage and civil partnerships. If you have a disability or special need that requires accommodation during the application process, please let us know! For details regarding our data processing activities, please refer to our Candidate Privacy Notice Protect Yourself from Job Scams: We've been made aware of fraudulent job offers circulating in Brainlabs' name. Your safety is our priority, so please stay vigilant. Brainlabs will never ask you to transfer money, pay for a job opportunity, or request sensitive information such as Social Security numbers, banking details, or passwords via email, WhatsApp, or unsecured channels. Our official hiring communications only come from verified email domains (@brainlabsdigital.com, @brainlabs.ai, @exverus.com, @jacknimble.com.au, @sparro.com.au) and trusted platforms including Greenhouse, Upwork, Yuno Juno, and Remote. If you receive a suspicious message claiming to be from Brainlabs, do not engage. Instead, forward it immediately to security@brainlabsdigital.com . We're committed to protecting our community and ensuring a safe candidate experience. Thank you for your vigilance.

StellarTech is a rapidly growing company at the forefront of innovation in the EdTech industry. Our team is focused on building scalable products and sustainable business models that shape the future of education. We are looking for a Product Analyst to join our Platform Development Team. Working hand-in-hand with the Product Manager, you will build product analytics for our core platform from the ground up - and become the person who understands user behavior on the platform better than anyone else. What You'll Do: Build product analytics for the core platform together with the Product Manager: define key metrics, events, funnels, and approaches to evaluating user experience. Design and maintain the event tracking framework - ensuring data is complete, consistent, and trusted across product and technical teams. Identify insights across user journeys, segments, and platform usage scenarios - and automate their regular discovery. Create and evolve dashboards, alerts, and analytics infrastructure used by product and engineering teams for day-to-day decisions. Support product hypotheses with data: validate ideas, evaluate feature impact, and help prioritize the roadmap with evidence. Translate user behavior into clear, actionable recommendations and help teams across the company make data-driven decisions. We're Looking For: 6-8 years of experience as a Product Analyst / Data Analyst in a product IT company (B2C platforms, SaaS, or marketplaces are a plus). Strong SQL skills and confident work with large datasets. Hands-on experience with product analytics tools (Amplitude, Mixpanel, GA4, or similar) and BI tools (Tableau, Looker, Power BI, or similar). Solid understanding of product metrics: activation, retention, conversion, funnels, cohorts, and unit-level user behavior. Experience designing event taxonomies and setting up tracking from scratch or significantly evolving an existing setup. Experience with A/B testing and a working knowledge of statistics for experiment evaluation. Ability to turn ambiguous product questions into structured analyses and clear recommendations. Nice to Have: Python or R for analysis and automation of recurring insights. Experience working with platform/infrastructure products or technical stakeholders (engineers, architects). Experience building analytics processes in a team where analytics did not exist before. Strong communication skills: ability to articulate findings to both technical and non-technical stakeholders. Proactive, problem-solving mindset - comfortable with ambiguity in a fast-paced, evolving environment. Why You'll Love Working With Us: Innovative Environment: We're all about trying new things and pushing the envelope in EdTech. We are global remote. Health: company-provided medical expense compensation. AI solutions: AI subscription and other tools. Balance: Flexible paid time off - 21 days of annual leave + 10 bank holidays. Collaborative Culture: Work alongside passionate professionals who are as driven as you are. --- Hiring Process: 1. Recruiter screen 2. Technical Interview 3. Hiring Manager Interview

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 RL Teams Our Reinforcement Learning teams play a critical role in advancing our AI systems. We've contributed to all Claude models, with significant impacts on the autonomy and coding capabilities of our latest Claude models. Our work spans several key areas: Developing systems that enable models to use computers effectively Advancing code generation through reinforcement learning Pioneering fundamental RL research for large language models Building scalable RL infrastructure and training methodologies Enhancing model reasoning capabilities We collaborate closely with Anthropic's alignment and frontier red teams to ensure our systems are both capable and safe. We partner with the applied production training team to bring research innovations into deployed models, and are dedicated to implement our research at scale. Our Reinforcement Learning teams sit at the intersection of cutting-edge research and engineering excellence, with a deep commitment to building high-quality, scalable systems that push the boundaries of what AI can accomplish. About the Role We're hiring for the Code RL team within the RL organization. As a Research Engineer, you'll advance our models' ability to write, edit, test, debug, and ship real software — end to end, on real codebases, with real tools — and to do it correctly, fast, and safely. This role blends research and engineering. You'll design RL environments and coding tasks, build the reward signals and verifiers that capture what "good code" means, run training experiments on frontier models, diagnose why a model does (or doesn't) get better at a class of software-engineering work, and improve the speed and reliability of the pipelines that make all of that iterate fast. Code RL spans several focus areas — from agentic coding behaviors and code correctness, to long-horizon autonomous engineering, to high-performance code for accelerators — and we'll match you to the area where you'll have the most impact. You may be a good fit if you: Have strong software-engineering skills and deep Python expertise, including async/concurrent programming Are comfortable owning systems end to end and debugging across the stack Can balance research exploration with engineering implementation, and engage rigorously in shaping experimental design and interpreting results Care about code quality, testing, and performance Are passionate about the potential impact of AI and are committed to developing safe and beneficial systems Strong candidates may also have: Experience with reinforcement learning, RLHF, post-training, or LLM finetuning Built coding agents, code-execution sandboxes, eval harnesses, verifiers, or developer tooling Background in program analysis, testing, verification, compilers, or formal methods Experience with PyTorch and large-scale distributed training; performance profiling and optimization of ML systems CUDA / GPU or TPU kernel experience and accelerator-performance intuition Experience with virtualization and sandboxed code execution environments Related roles If your background leans toward one of these areas specifically, you may also want to look at these postings: Research Engineer, Performance RL (Reinforcement Learning) — teaching Claude to write correct, fast code for accelerators Research Engineer, Universes — long-horizon, ultra-realistic agentic training environments Research Engineer, Cybersecurity RL (Reinforcement Learning) — RL for security-relevant coding capabilities 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: Remote - United States Innodata (Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked. Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale. We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers. Scope of the Role: At Innodata, we’re partnering with the world’s leading technology companies to build the future of generative AI and large language models (LLMs). We’re on the lookout for smart, savvy, and curious Generative AI Specialist to join our global contributor community as part of our Subject Matter Expert (SME) on Demand program. This is not a traditional full-time role. It’s a part-time, remote, flexible, project-specific opportunity designed for those who want to make a real impact—on their schedule. Whether you're a writer, linguist, educator, researcher, or just deeply passionate about language and logic, this role lets you contribute to cutting-edge AI development while maintaining control over your time. You’ll be helping LLMs learn the intricacies of language and reasoning—not just how to write, but how to think. If you’ve ever dreamed of shaping the intelligence behind tomorrow’s technology, this is your chance. This is more than just a gig—it’s a rare chance to help shape the future of AI from anywhere in the world, on your own terms. What You’ll Own: Rating/assessing the performance of AI models or algorithms based on their output or behavior through a set of evaluative questions. Labeling elements of a piece of content rather than the content as a whole. Assigning predefined categories or labels to items. Evaluating the perceived quality and/or appropriateness of content Generating labels to advance understanding of a concept, trend etc. Creation of additional training data for machine learning models by applying transformations to the original data, such as modifying images (rotation, flipping, cropping), generating new text (paraphrasing, summarization), or altering audio/video signals (speed modification, pitch shifting) to reduce overfitting and increase dataset diversity. Reviewing data and identifying whether or not a product feature works as intended based on the project's guidelines. Labeling model outputs to identify if a piece of content is or isn't something. Examples: identify clickbait; identifying gaming videos; identifying branded content. Ordering or ranking items based on a set of preferences or criteria. Creating prompts or questions that will be used to generate responses from a language model or other AI system. Projects that evaluate the relevance of content based on a relevancy scale (1-3, 1-5, etc.). Generating responses to prompts or questions using a language model or other AI system. Rewriting existing text while preserving the original meaning, often to improve clarity or style and adherence to guidelines. Producing concise summaries of longer pieces of text or data. Converting spoken language or audio content into written text. Converting text or spoken language from one language to another. Gathering and compiling various forms of data to be used for training, evaluating, or fine-tuning the AI models. This may include text, images, videos, audio files, or other types of digital content. You’ll Thrive in This Role If You Have: A Bachelor’s degree or higher in a humanities specialization is required. Advanced degrees are strongly preferred (Master’s or PhD) Professional or Expert level proficiency (C1/C2) in English The expected hourly salary range for this position is $15 p/hour, based on experience, skills, and qualifications. Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at https://consumer.ftc.gov/articles/job-scams. If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at verifyjoboffer@innodata.com and consider reporting it to the FTC at ReportFraud.ftc.gov .

Location: Remote - United States Innodata (Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked. Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale. We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers. Scope of the Role: At Innodata, we’re partnering with the world’s leading technology companies to build the future of generative AI and large language models (LLMs). We’re on the lookout for a smart, savvy, and curious Generative AI Specialist to join our global contributor community as part of our Subject Matter Expert (SME) on Demand program. This is not a traditional full-time role. It’s a part-time, remote, flexible, project-specific opportunity designed for those who want to make a real impact—on their schedule. Whether you're a writer, linguist, educator, researcher, or just deeply passionate about language and logic, this role lets you contribute to cutting-edge AI development while maintaining control over your time. You’ll be helping LLMs learn the intricacies of language and reasoning—not just how to write, but how to think. If you’ve ever dreamed of shaping the intelligence behind tomorrow’s technology, this is your chance. This is more than just a gig—it’s a rare chance to help shape the future of AI from anywhere in the world, on your own terms. What You’ll Own: Rating/assessing the performance of AI models or algorithms based on their output or behavior through a set of evaluative questions. Labeling elements of a piece of content rather than the content as a whole. Assigning predefined categories or labels to items. Evaluating the perceived quality and/or appropriateness of content Generating labels to advance understanding of a concept, trend etc. Creation of additional training data for machine learning models by applying transformations to the original data, such as modifying images (rotation, flipping, cropping), generating new text (paraphrasing, summarization), or altering audio/video signals (speed modification, pitch shifting) to reduce overfitting and increase dataset diversity. Reviewing data and identifying whether or not a product feature works as intended based on the project's guidelines. Labeling model outputs to identify if a piece of content is or isn't something. Examples: identify clickbait; identifying gaming videos; identifying branded content. Ordering or ranking items based on a set of preferences or criteria. Creating prompts or questions that will be used to generate responses from a language model or other AI system. Projects that evaluate the relevance of content based on a relevancy scale (1-3, 1-5, etc.). Generating responses to prompts or questions using a language model or other AI system. Rewriting existing text while preserving the original meaning, often to improve clarity or style and adherence to guidelines. Producing concise summaries of longer pieces of text or data. Converting spoken language or audio content into written text. Converting text or spoken language from one language to another. Gathering and compiling various forms of data to be used for training, evaluating, or fine-tuning the AI models. This may include text, images, videos, audio files, or other types of digital content. You’ll Thrive in This Role If You Have: A Bachelor’s degree or higher in a humanities specialization is required. Advanced degrees are strongly preferred (Master’s or PhD) Professional or Expert level proficiency (C1/C2) in English The expected hourly salary range for this position is $15 p/hour, based on experience, skills, and qualifications. Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at https://consumer.ftc.gov/articles/job-scams. If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at verifyjoboffer@innodata.com and consider reporting it to the FTC at ReportFraud.ftc.gov .