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Location: Barcelona, Spain Workplace: hybrid ⛵ About our Crew Click&Boat is a rental platform product of Boats Group, the fastest-growing digital business in the recreational boating space. We are a talented team of techies, creatives, marketers, closers and customer advocates who spend each day pushing the boundaries of technology to make buying, selling & renting boats easy. We spend each day surrounded by 500,000 boats from across the globe! Click&Boat is the European leader in boat rentals . Our marketplace makes boating accessible around the world, from a day trip to a week-long adventure, while enabling private and professional boat owners to generate additional income through rentals. To support this growth, we are hiring a Customer Experience Agent to join a dynamic team in our Barcelona office and continue building a world-class, creative organization by finding the best talent for our incredible culture. 🚤 The role In Click&Boat, there are 3 main operational Business Units : Supply: deals with boat owners and make sure the boats available on our platform generate revenues with the highest quality of service. Sales: deals with tenants and supports them all along a booking process, from quotations to closing the deal. Customer Care: represents the point of contact for our customers after a booking is closed by the Sales team (before, during and after the trip), and makes the link between boat owners and tenants (booking modification or cancellation, insurance or accident issues, etc). As Customer Experience, you will integrate the Customer Care crew and will play a key part in supporting our users , and collaborating closely with the Finance, Sales and Supply crew members across teams to deliver a high-quality work. If you're excited about marketplaces, digital business and dynamic environments, you might be exactly who we’re looking for. 🛟 What floats your boat As a central part of our day-to-day operations, your main mission will be to handle customer interactions efficiently , managing service-related issues, complaints, and claims between boat owners and renters. While your work will focus on r esolving tickets and ensuring smooth communication, you will also contribute to maintaining our service quality standards and supporting seasonal team members during the high season. Operations (80%) Low season (October - March) Manage incoming inquiries from boat owners and renters via tickets and phone calls . Provide accurate and timely responses , ensuring issues are properly documented and resolved. Handle routine requests , updates, and follow-ups to maintain a high level of customer satisfaction. High season (April - September) Act as an escalation point for complex or urgent cases , managing communication via email (80%) and phone (20%) . Mediate disputes between boat owners and renters, investigating claims and negotiating fair solutions in line with Click&Boat’s terms and conditions . Manage critical cases such as last-minute cancellations, service complaints, or boat damage , ensuring efficient resolution and clear communication between all parties. Report recurring issues or feedback to help improve our internal processes and overall service quality. Internal process analysis and update (10%) Prepare for high-season operations by coordinating seasonal staff training, onboarding, and analyzing end-of-season KPIs to enhance future processes. Identify opportunities for product and process improvements , creating reports on user feedback and system bugs to support development teams. Collaborate with cross-functional teams to optimize workflows and contribute to the global mission of reducing contact ratios and improving response times Contribute to seasonal operations by helping prepare training materials, supporting onboarding sessions, and assisting temporary staff during the high season Coaching and Quality Review (10%) During high season (April-September), guide and support seasonal employees, conducting quality reviews and leading training sessions to uphold service excellence 🧭 What you bring aboard We’re seeking motivated, detail-oriented team players with a passion for problem-solving and a knack for delivering excellent service. Language Skills: Bilingual in French and fluent in English. Customer Experience: 1+ years of previous experience in customer-facing roles is required, handling legal complaints and complex users conflicts. Solution-Oriented: Comfortable handling challenging situations and finding creative resolutions. Time Management Skills: Demonstrated ability to prioritize tasks effectively, meet deadlines, and handle multiple responsibilities in a fast-paced environment. Organized and Flexible: Thrives in a dynamic environment, especially during high-season periods with weekend shifts. Process-oriented and methodical: enjoys following structured workflows and continuously improving efficiency in daily operations. Queue management mindset: takes satisfaction in maintaining a clean, organized ticket queue and ensuring no requests remain unresolved 🌊 Bonus points (great to have, never a dealbreaker) Language skills: Any other language spoken from our markets is a plus (Spanish/Italian/German). Passion for Boating: An interest in boating or a connection to our industry is a bonus! 🗺 The hiring journey Intro call with Talent Acquisition Case Study Interview with your future manager Interview with the Head of Customer Care We aim to keep things smooth, transparent, and respectful of your time throughout the process. What awaits you aboard 🚀 A fast-growing international company with real impact; 💻 Remote work policy: 1 day per week, depending on periods of the year and seniority; 🌴 5 additional days off; 📖 Extensive internal training; 🥪 Lunch vouchers (Cobee); 💪 Gym partnerships (Wellhub); 🚤 Boat licence offered and exclusive discounts on your next boat trips; 🥐 Breakfast every Tuesday morning; 🌊 A welcoming office in Barcelona, next to the centrally located Cathedral and just a 20-minute walk from the sea; 🎉 Team-building activities. Contract: Full-time, permanent. 🪝 Ready to join? If this opportunity sounds like your next adventure, hit the “apply to this job” bottom. Remember, even if you don’t meet every requirement, you might still be a great match for us! And yes, we’re especially talking to women here: science says that you are less likely to apply if you don’t meet them all. So go for it, we’d love to hear from you. At Click&Boat, every application is reviewed with equal care and attention, regardless of age, gender, origin, disability, religion, sexual orientation, or any other characteristic. We hire for talent, drive, and mindset. The sea is open to all. 🌊

Location: Dallas Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW We are looking to hire a Deal Operations Analyst to support Harvey AI’s growing global sales organization. This role sits at the center of quote-to-cash execution, partnering closely with Sales, Deal Desk, Finance, and Legal to ensure deals are accurately structured, approved, and closed. This is a hands-on operational role for someone who enjoys being close to the deal flow, solving process issues in real time, and helping scale systems and workflows as the business grows. WHAT YOU'LL DO - Review, validate, and process customer orders to ensure accuracy, compliance with pricing and contracting policies, and readiness for booking and billing - Support Sales reps with Salesforce (SFDC) opportunity management, quoting workflows, and deal hygiene - Manage and triage a Deal Operations ticketing queue, ensuring timely responses and clear communication with stakeholders - Act as a frontline support resource for SFDC and CPQ-related questions from Sales - Assist with CRM and CPQ enhancements, including: - gathering and drafting business requirements - supporting user acceptance testing (UAT) and QA - helping roll out new workflows, fields, or guardrails - Contribute to sales and deal desk enablement, including documentation, process guides, and training support - Identify recurring issues or inefficiencies in quote-to-cash processes and surface recommendations for improvement WHAT YOU HAVE - 2-4+ years of experience in Sales Operations, Deal/Order Operations, Revenue Operations, or Order Management - Strong attention to detail and comfort working with complex deal structures - Working knowledge of Salesforce (SFDC) as a CRM, including opportunity and quoting workflows - Exposure to CPQ tools (e.g., Salesforce CPQ, DealHub, Ironclad CLM, or similar), with a basic understanding of how pricing and approvals are operationalized - Experience managing or working within a ticketing or queue-based support model (e.g., Zendesk, Jira, Salesforce cases, or similar) - Prior involvement in CRM/CPQ projects or enhancements, such as documenting requirements, participating in testing, or supporting system rollouts - Ability to communicate clearly with Sales, Finance, Legal, and Operations stakeholders - Comfortable operating in a fast-paced, evolving environment where processes are still being defined COMPENSATION $108,300 - $148,950 USD DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES [HERE https://www.notion.so/harveyai/Harvey-Candidate-Privacy-Policies-319ac3fcdd7a803bb807d5094f249922]. #LI-TM1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: Chicago Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW We are looking to hire a Deal Operations Analyst to support Harvey AI’s growing global sales organization. This role sits at the center of quote-to-cash execution, partnering closely with Sales, Deal Desk, Finance, and Legal to ensure deals are accurately structured, approved, and closed. This is a hands-on operational role for someone who enjoys being close to the deal flow, solving process issues in real time, and helping scale systems and workflows as the business grows. WHAT YOU'LL DO - Review, validate, and process customer orders to ensure accuracy, compliance with pricing and contracting policies, and readiness for booking and billing - Support Sales reps with Salesforce (SFDC) opportunity management, quoting workflows, and deal hygiene - Manage and triage a Deal Operations ticketing queue, ensuring timely responses and clear communication with stakeholders - Act as a frontline support resource for SFDC and CPQ-related questions from Sales - Assist with CRM and CPQ enhancements, including: - gathering and drafting business requirements - supporting user acceptance testing (UAT) and QA - helping roll out new workflows, fields, or guardrails - Contribute to sales and deal desk enablement, including documentation, process guides, and training support - Identify recurring issues or inefficiencies in quote-to-cash processes and surface recommendations for improvement WHAT YOU HAVE - 2-4+ years of experience in Sales Operations, Deal/Order Operations, Revenue Operations, or Order Management - Strong attention to detail and comfort working with complex deal structures - Working knowledge of Salesforce (SFDC) as a CRM, including opportunity and quoting workflows - Exposure to CPQ tools (e.g., Salesforce CPQ, DealHub, Ironclad CLM, or similar), with a basic understanding of how pricing and approvals are operationalized - Experience managing or working within a ticketing or queue-based support model (e.g., Zendesk, Jira, Salesforce cases, or similar) - Prior involvement in CRM/CPQ projects or enhancements, such as documenting requirements, participating in testing, or supporting system rollouts - Ability to communicate clearly with Sales, Finance, Legal, and Operations stakeholders - Comfortable operating in a fast-paced, evolving environment where processes are still being defined COMPENSATION $108,300 - $148,950 USD DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES [HERE https://www.notion.so/harveyai/Harvey-Candidate-Privacy-Policies-319ac3fcdd7a803bb807d5094f249922]. #LI-TM1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: Remote; Seattle, WA; New York, NY; San Francisco, CA Workplace: Remote We are building AI to simulate the world through merging art and science. We believe that world models are at the frontier of progress in artificial intelligence. Language models alone won’t solve the world’s hardest problems – robotics, disease, scientific discovery. Real progress requires models that experience the world and learn from their mistakes, the same way that humans do. And this kind of trial and error can be massively accelerated when done in simulation, rather than in the real world. World models offer the most clear path to general-purpose simulation, changing how stories are told, how scientific progress is made and how the next frontiers of humanity are reached. Our team consists of creative, open minded, caring and ambitious people who are determined to change the world. We aspire to continuously build impossible things and our ability to do so relies on building an incredible team. If you are driven to do the same, we'd love to hear from you. *Titles posted to our careers page are updated regularly to best advertise the role and expected seniority, but internally we have a flat titling system with two types of titles: one for individual contributors and one for people managers. ABOUT THE ROLE *Open to hiring remote across the US — we also have offices in New York, San Francisco, Seattle, London, Paris, and Tel Aviv. Runway is rapidly building the leading ecosystem of generative models, bringing the best models from AI labs around the world to our users alongside our own. We are looking for an IC to source, activate, and scale relationships across Runway's growing portfolio of model partners. This is a role for someone who wants to own whatever needs owning, take new models from first conversation to launch, and write the playbook where none exists yet. You will work closely across Engineering, Product, Legal, Finance, and Marketing. WHAT YOU'LL DO - Own a broad portfolio of model partners end to end, across modalities - Track the model landscape relentlessly: spot new labs and releases early and bring the strongest ones to the team as candidates for integration - Take new partners from zero to launched: source, structure and negotiate commercial terms, then close with Legal and Finance - Be the partner's main point of contact through launch, working closely with our engineering team - Build deep, trusted relationships with founders, BD leads and research teams at our partners, and turn those relationships into early access, better terms and joint launches - Run the portfolio with rigor: set check-in cadences, monitor relationship health, and spot and escalate risk early - Track usage, spend and margin by partner and model, and use that data to decide where to invest, renegotiate or step back - Partner with Marketing and our partners on co-marketing for model launches - Build the frameworks and tools that let the function scale as the ecosystem grows WHAT YOU'LL NEED - 5+ years of experience across some combination of partnerships, business development, GTM, consulting, or founding/operating, with a track record of having owned outcomes end to end - Experience negotiating commercial agreements, ideally usage-based, API or platform deals - Genuine obsession with generative AI: you know the labs, you try new models the day they ship, and you have opinions on what makes one good - Demonstrated range: you've done the deal and the integration and the launch - High technical aptitude for understanding complex technologies, tools, systems, and issues - Strong analytical capabilities, with the ability to turn usage and spend data into a clear recommendation - Ability to manage many relationships and priorities at once in a fast-paced environment without dropping threads - Clear, concise communication, from a startup founder to a big-lab partnerships team to a Runway engineer in the same day - A strong bias towards action and belief that no task is too small for you - Highly resourceful, with the ability to create structure and work autonomously amid ambiguity - New York-based preferred Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package we provide. There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range. Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates. WORKING AT RUNWAY Great things come from great teams. https://www.youtube.com/watch?v=kwmj4ato2kw&ab_channel=Runway We’d love to hear from you. We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. So regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply. More about Runway - Universal World Simulator https://runwayml.com/world-simulator.html - GWM-1 https://runwayml.com/research/introducing-runway-gwm-1 - Gen-4.5 https://runwayml.com/research/introducing-runway-gen-4.5 - General World Models https://runwayml.com/research/introducing-general-world-models - Robotics SDK https://runwayml.com/research/introducing-runway-gwm-1#robotics-section - Conversational Real-time Agents https://runwayml.com/research/introducing-runway-gwm-1#avatars-section - Runway Studios https://runwayml.com/studios We're excited to be recognized as a best place to work: Crain's https://www.crainsnewyork.com/awards/best-places-work-2023 | InHerSight https://www.inhersight.com/companies/best/city/new-york-city-ny | BuiltIn NYC https://builtin.com/awards/new-york-city/2024/best-places-to-work | INC https://www.inc.com/best-workplaces/2024

Location: Niger Dexis is a dynamic professional services firm dedicated to partnering with government and community leaders both in the U.S. and internationally to achieve critical social outcomes in a rapidly changing world. At Dexis, you will experience a corporate culture of inclusiveness, respect, fairness, and trust. You will be given the means and mentorship needed to succeed, and your creativity will be rewarded. LEAP Program Description Global Solutions Ventures (GSV) – a joint-venture partnership between ZemiTek, LLC and Dexis Consulting Group – is implementing the Long-term Exceptional Technical Assistance Project (LEAP Global), a mechanism originally used by USAID to battle against infectious diseases such as malaria, HIV/AIDS, tuberculosis, neglected tropical diseases, and pandemic influenza. As of July 1, 2025, LEAP Global transitioned to the U.S. Department of State (DOS). This initiative aims to address the complex human resource challenges faced by national infectious disease programs in the USA-supported countries. The intervention of this project is to hire and embed technical expert advisors and subject matter experts within government entities. By directly embedding the technical expertise within the national programs, LEAP provides long-term, sustainable lifesaving support to empower host governments to lead and manage key aspects of their infectious disease portfolios and improve coordination between the U.S. Government and the host country. About the Position The National Malaria Control Program (NMCP) is responsible for the national coordination of malaria prevention, case management, and malaria supply chain activities in Niger. In recent years, the national supply chain management system has undergone significant evolution, characterized by: The progressive strengthening of quantification and supply planning mechanisms; The increasing use of logistics data from DHIS2; The progressive strengthening of the Quantification Analytics Tool (QAT) as the national reference tool for supply forecasting and planning; The gradual transition to a national electronic Logistics Management Information System (eLMIS) based on Open mSupply; The progressive development of a district-led last-mile distribution model; The growing need for advanced analysis of logistics data to improve the continuous availability of commodities. In this context, the NMCP seeks to sustainably strengthen its institutional capacities in the areas of: Logistics data analysis; Data validation and triangulation; Supply forecasting and planning; Supply chain performance management; Stockout risk anticipation; Use of digital logistics management tools; Monitoring of warehousing and distribution performance; Pharmaceutical waste management. To support this transition, the NMCP wishes to benefit from technical support through the recruitment of a Technical Expert in Logistics Intelligence, forecasting, and Supply Chain Performance. The goal is to sustainably strengthen national capacities, not to create functional dependency on external expertise. The Advisor will support the NMCP in carrying out life-saving humanitarian assistance (LHA) service delivery in full alignment with the new Presidential Executive Order (EO) directives. Responsibilities General Objective Support the NMCP in strengthening its institutional capacities in logistics intelligence, quantification, data analysis, and supply chain performance management to sustainably improve the availability of malaria commodities. Specific Objectives: The Advisor  shall contribute to: Strengthening the strategic use of logistics data for decision-making. Supporting the institutionalization of QAT as the national reference tool for supply forecasting and planning. Developing mechanisms for validation, triangulation, and quality control of logistics data. Strengthening the NMCP's capacity to develop early warning systems and stockout anticipation mechanisms. Supporting the monitoring of warehousing and distribution performance carried out by National Office of Pharmaceutical Products and Chemicals (ONPPC). Developing supply chain performance dashboards and indicators. Supporting the NMCP in monitoring pharmaceutical waste management. Sustainably strengthening the technical capacities of national teams through skills transfer and process formalization. Nature and Principles of Position The position is structured around: Strengthening institutional capacities; Transferring skills; Developing sustainable tools and mechanisms; Providing analytical and strategic support. The position does not constitute a permanent organic function within the NMCP and is not intended to replace the statutory or hierarchical responsibilities of national staff. The Advisor shall: Not hold any hierarchical authority over NMCP staff; Not replace NMCP human resources; Not exercise the program's sovereign (regalian) functions; Act within a framework of technical support, accompaniment, systems structuring, and skills transfer. The Advisor will work closely with: The NMCP's Supply and Stock Management (GAS) team; The NMCP pharmacist; The NMCP monitoring and evaluation teams; The Directorate of Pharmacy, Medicine, and Traditional Medicine (DPH/MT); ONPPC; Technical and financial partners. Main Responsibilities: Logistics Data Governance and Analytical Intelligence Support the NMCP in analyzing and leveraging logistics data from DHIS2 and eLMIS/Open mSupply as it is progressively deployed, as well as planning tools; Develop cross-validation mechanisms for logistics data; Support the identification and correction of data inconsistencies; Develop Analytical Dashboards and Visualization Tools Strengthen the NMCP's capacity to analyze consumption trends and stockout risks; Develop early warning mechanisms; Support the analysis of district emergency orders; Develop logistics performance indicators. The Advisor shall build on work already carried out regarding: DHIS2 data completeness (and eLMIS data as it is progressively deployed); The identification and correction of inconsistencies; Monthly stockout monitoring; Analysis of district performance in their capacity for regular monthly resupply of health facilities. Quantification and Institutionalization of QAT Support the NMCP in the advanced use of QAT (particularly as new features are rolled out); Contribute to establishing QAT as the national reference tool for supply forecasts and plans; Progressively reduce reliance on parallel Excel files; Develop and formalize Standard Operating Procedures (SOPs) related to QAT use; Support quantification exercises; Strengthen the integration of logistics data into forecasting exercises; Contribute to harmonizing tools used by partners. Contribute to aligning the NMCP with the national vision of an integrated supply forecasting and planning system. Warehousing and Distribution Performance In collaboration with ONPPC and relevant structures, the Advisor shall: Develop performance indicators for the warehousing and distribution of malaria control commodities to ensure their continued compliance; Support the development of dashboards to monitor these performance indicators; Analyze distribution timelines and service levels; Monitor availability and logistics quality indicators; Identify operational bottlenecks; Propose corrective measures; Support the monitoring of good inventory management and storage practices. Logistics Risk Management Develop a supply chain risk register; Identify critical supply-related risks; Support the development of mitigation plans; Develop alert thresholds and escalation mechanisms; Strengthen the NMCP's capacity to anticipate stockouts; Contribute to the development of forward-looking analyses and contingency scenarios. Pharmaceutical Waste Management Support the NMCP in monitoring pharmaceutical waste management; Develop tools for tracking expired or damaged products; Contribute to monitoring activities related to incinerators funded by the Global Fund; Support the documentation and traceability of product destruction activities Develop SOPs and tracking tools related to Unusable Pharmaceutical Products (PPI). Capacity Building and Skills Transfer Provide technical coaching to NMCP teams (GAS and M&E for logistics data); Develop SOPs, guides, and standardized tools; Support the formalization of processes; Organize skills transfer sessions; Contribute to the progressive empowerment of national teams; Document achievements and institutionalized mechanisms. Expected Deliverables Logistics data governance SOPs; QAT usage SOPs; A RACI matrix for the malaria control commodity supply chain; Supply chain performance dashboards; Early warning mechanisms; Data validation and triangulation tools; A supply chain risk register; Pharmaceutical waste management monitoring tools; Plans for evaluating and strengthening GAS competencies within the NMCP; Monthly (bullet) and quarterly (narrative) activity reports. Expected Results Through this support, the NMCP aims to achieve: A sustainable improvement in the quality of logistics data; Improved capacity to anticipate stockouts; The institutionalization of QAT as the sole source for logistics data management; The development of a data-driven management culture; Strengthened monitoring of supply chain performance; Improved visibility of logistics risks; The progressive strengthening of national technical autonomy; A successful transition to a national eLMIS system based on Open mSupply. Supervisory Arrangements The Advisor shall be: Administratively recruited and evaluated by the implementing partner; Technically supervised by the NMCP Coordinator; Functionally integrated into the Supply and Stock Management (GAS) team. Technical priorities and work plans will be jointly validated by the NMCP and the implementing partner. REPORTING : The Advisor will provide a detailed monthly report to the U.S. Department of State submitted by the 5th day of the following month. Additionally, the Advisor will submit a weekly progress report to U.S. Embassy/Department of State (and participate in weekly calls) to include a short paragraph about main successes for that week. Qualifications Advanced university degree in pharmacy, with experience in public health, supply chain management, health logistics, or a related field; A complementary Master's-level degree in supply chain management, health logistics, public health, health systems, or a related field is strongly desired; Specialized training in public health Supply Chain Management is a significant asset; Minimum of 10 years of experience in public health supply chain management; Proven experience in supply quantification and planning; Demonstrated experience using QAT or similar forecasting and supply planning tools; Experience in analyzing and leveraging logistics data; Experience using DHIS2, eLMIS, or other logistics information systems; Proven experience developing analytical tools, dashboards, and performance monitoring mechanisms; Experience collaborating with U.S. Government–funded partners and projects strongly desired; Experience on U.S. Government–funded projects is a major asset; Experience in pharmaceutical waste management desired. Excellent command of logistics management systems; Strong analytical capacity; Good command of data analysis and visualization tools; Excellent understanding of quantification mechanisms; Good understanding of early warning systems; Ability to develop SOPs, standardized tools, and institutional mechanisms; Ability to work within a matrix reporting environment; Strong capacity for institutional collaboration; High sense of ethics and confidentiality; Ability to work in a support role rather than a substitutive one; Ability to transfer skills and support national teams. Benefits Dexis offers benefits to support employees’ health, financial security, and well-being. The benefits outlined below are for full-time, US-based positions only. These benefits include: Medical and prescription drug coverage: A choice of three UnitedHealthcare medical plans, with coverage options for employees and eligible dependents. Dental insurance: Dental coverage for employees and eligible dependents, including preventive, basic, major, and orthodontic services, subject to plan limits. Company-paid vision insurance: Vision coverage for employees and eligible dependents, with premiums paid in full by Dexis. Employer-funded health reimbursement arrangement (HRA): Employees who enroll in the Silver HRA medical plan receive an employer-funded HRA to help pay eligible in-network deductible expenses. Company-paid life and disability insurance: Basic life and accidental death and dismemberment (AD&D) insurance, plus short-term and long-term disability coverage. Optional supplemental insurance: Voluntary supplemental life and AD&D insurance options, including life insurance options for eligible dependents. Employee Assistance Program (EAP): Company-paid access to confidential counseling and legal and financial support resources for employees and their families. Health and wellness resources: Virtual care, behavioral health resources, and wellness programs available through the medical plan. Benefits assistance: Personalized support with benefit enrollment, coverage questions, claims, and finding providers through the Employee Care Center. Participation, coverage, and employee contributions are subject to applicable benefit plan terms and eligibility requirements. Dexis is on a mission to help solve today’s most pressing global political, social, and economic challenges and create a world where all people are safe and prosperous. As a Dexis employee, you will be challenged, empowered, and mentored. Our motto is “find a way or make a way” — that’s how Dexis goes “all in.” How will you? If you are passionate about this opportunity, apply now! Only those applicants who meet the above criteria will be contacted for interview. Dexis is an Equal Opportunity Employer, and does not discriminate on the basis of race, color, sex, national origin, religion, pregnancy, disability, age, genetic information, military service, veteran status, ethnicity, citizenship, sexual orientation, gender identity, marital status, childbirth and related medical conditions, including lactation, or any other protected class under applicable law.

Location: San Francisco Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW The Business Development team at Harvey is responsible for enabling step-change outcomes, working in lock-step with go-to-market and product leadership. We rapidly adapt to the changing market environment, unlock new product experiences, and deliver new business. As a member of this team, you will help us build differentiated product offerings and scalable go-to-market motions. This role owns the legal research side of that work. You will source, evaluate, and negotiate access to the legal research content our products are built on and connected to, across both primary and secondary sources. You will quarterback these deals from identification and evaluation through negotiation and product integration. Legal content is a difficult market to work in. Rights are fragmented, licensing terms are idiosyncratic. We are looking for someone who already understands that terrain, either because they practiced and relied on these materials every day, or because they sat on the other side of the table building and licensing them. You will work closely with senior stakeholders across product, engineering, finance, legal, and go-to-market functions to drive strategic initiatives and ensure successful partnership outcomes. Your ability to articulate the value of Harvey's product and sales strategy, coupled with your passion for groundbreaking AI technologies, will help us shape the future of knowledge work. WHAT YOU'LL DO - Develop and execute a strategic plan for legal content and data partnerships, aligned with Harvey's overall product and GTM strategy. - Independently identify, evaluate, and establish a range of partnerships with legal content and data providers. - Assess corpora on the merits: jurisdictional coverage, historical depth, update cadence, editorial enhancements, metadata quality, and what rights actually come with the data. - Negotiate complex licensing agreements, ensuring mutually beneficial terms and alignment with company goals. - Conduct quantitative analysis, create business cases, and present them to executives. - Collaborate closely with product, engineering, finance, legal and GTM teams to oversee the successful integration of new content sources into the product. - Build and nurture strong long-term relationships with key partners, ensuring mutual success and achievement of partnership goals and business objectives. - Operate autonomously, being both a proactive executor and strategic thinker at Harvey pace. WHAT YOU HAVE - You practiced law in the United States, or you helped build the tools lawyers practice with. We have a strong preference for litigators who have real fluency in the legal research corpus. Experience working in business development, product, or corporate development is a strong plus. - Proven ability to develop executive relationships, negotiate complex contracts, and problem-solve with external partners to drive distribution in new markets. - Experience collaborating with product teams to develop and distribute new technology solutions. - Team player who can collaborate effectively across internal functions (Product, Legal, GTM, etc.) to achieve common goals. - Demonstrated passion for Harvey's mission and a strong understanding of AI and its potential applications in knowledge work. - Comfort with ambiguity and the ability to thrive in a fast-paced, evolving environment. - Excellent communication and interpersonal skills—can influence without authority and drive urgency with empathy. COMPENSATION $240,000 - $260,000 USD OTE 70/30 DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74. #LI-TA1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: San Francisco Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW The Business Development team leads Harvey's partnerships with the cloud hyperscalers, frontier AI labs, inference providers, data suppliers, and emerging open source ecosystem. These are multi-dimensional relationships: the same companies we build with are also the ones we build on and go to market alongside. Our work spans commercial deal structuring, co-selling, co-development, and co-marketing, working cross-functionally with Finance, Research, Product, Sales, Marketing, and other teams across the company. As a member of the Cloud & AI team, you will help drive strategic partner initiatives and engagement ranging from new model releases and product launch announcements to commercial agreements and co-marketing campaigns, and own the tactical execution that follows: activating commercial marketplaces, unlocking channel GTM opportunities, accelerating field enablement, and supporting day-to-day requests. It is a unique opportunity that gives you a front row seat to how fast-growing AI companies work together to drive mutual growth. This is a zero to one builder role on a team that will grow alongside the partner portfolio. You will be tasked with working across a wide range of programs and initiatives, including standing up new operational processes and ongoing partner reporting. Much of what this role touches does not have a defined playbook yet. The ideal candidate is a strong operator who can bring structure to complex partnerships, move comfortably between strategic work and hands-on execution, and build programs that scale as the team grows. WHAT YOU'LL DO PARTNER RELATIONSHIP & COMMERCIAL MANAGEMENT - Serve as a go-to resource for multiple cloud, frontier lab, and inference & data partners, and act as a consistent point of contact across internal and external teams - Run regular partner business reviews and joint planning sessions, including quarterly goal setting and executive involvement - Support commercial negotiations, including business case development and deal structuring, working closely with Finance, Product, and Research through to signature - Track partner activity, program performance, and progress against joint plans, and provide clear updates to stakeholders JOINT GO-TO-MARKET & CO-SELLING - Run the co-sell motion with select partners: drive partner-sourced and partner-influenced revenue by designing plays that build momentum with field teams (account mapping, deal registration, pipeline reviews, and alignment with Harvey's sales org) - Activate and operate Harvey's presence on commercial cloud marketplaces, including listings, private offers, and the operational workflows behind them - Support Harvey's sales team on individual partner-supported opportunities by bringing in the right partner contacts, unlocking partner resources, and clearing blockers - Build enablement materials for both sides: partner-facing Harvey narratives, and internal guides on how to sell with each partner CO-DEVELOPMENT & CO-MARKETING - Coordinate joint technical programs with partners, connecting Harvey's Research and Product teams with their counterparts and keeping feedback moving in both directions - Support product launch co-announcements, lining up timing, messaging, and approvals across Harvey Marketing and partner communications teams - Launch joint marketing programs with partners: case studies, webinars, events, and co-branded content - Maximize Harvey's standing in partner programs to unlock funding, technical resources, and go-to-market support BUILDING THE FUNCTION - Contribute to the operational foundation of the team, including portfolio tracking, partner plans, pipeline reporting, and regular reporting cadences with leadership - Develop repeatable processes and internal frameworks for how partnerships are evaluated, launched, and reviewed, so that programs stay scalable as the team grows - Keep internal teams across Sales, Product, Research, Marketing, and Finance current on partner activity through regular updates and business reviews - Take on new scope as the partner portfolio and the team expand over time WHAT YOU HAVE - 5+ years of professional experience in partnerships, alliances, sales, business development or corporate development, ideally at a high-growth company where programs were in their infancy and the partner motion was still being built - Experience structuring or managing complex alliances or partnerships, including commercial negotiations - Experience or knowledge of commercial marketplaces, including listings, private offers, and deal transaction mechanics - Track record of sourcing or influencing revenue through partner channels, ideally with ownership of a pipeline or revenue target - Experience across co-selling, co-marketing, and co-development, with a feel for the nuanced dynamics of partners who are suppliers, channels, and product enablers - Understanding of the AI ecosystem: the major cloud providers and frontier labs, how models are served and priced, and the emerging players across each market - Strong program management skills, including the ability to manage multiple workstreams, establish clear owners and timelines, and lead initial ideation through execution - Excellent written and verbal communication skills with the ability to synthesize complex information and communicate clear recommendations to executives - Comfort with ambiguity and a bias toward building when there's no existing process to follow, and the ability to influence without authority across teams COMPENSATION $200,000 - $275,000 USD OTE 70/30 DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74. #LI-TA1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

About the Company and the Role Welltory is one of the world’s most popular health monitoring apps, with 17 million downloads across 130 countries. We combine biometrics, science, AI and design to help people understand their health and well-being. ▸ Named to the Inc. 5000 (2026) , the list of America’s fastest-growing companies ▸ Featured in Forbes, The Times, Tom’s Guide and Real Simple ▸ Cited in peer-reviewed research, including a Wiley journal and a PMC publication naming Welltory a reliable app for HRV-based stress assessment ▸ Semifinalist of the Digital Health & AI Awards We see support not just as a service channel, but as a product growth engine. We use AI to automate tasks, scale communication, and improve user satisfaction. And now, we’re looking for people who want to build the future of support with us. In our app, support is not just about fast replies — it's a way to help users make sense of their health and truly experience the value of our product. We’re looking for an Customer Experience Manager — someone who enjoys working with user requests, helping people understand complex data, testing AI-powered solutions, and improving user experience. What We’re Looking For 3+ years of experience in customer support, customer success, or operations — ideally in tech products where user experience and metrics matter Ability to handle technical requests — from bugs to subscriptions and data source syncing Hands-on experience with AI tools, LLMs, and automation Comfortable working with product, engineering, and AI teams Excellent English skills — both written and verbal — and the ability to write clear, informative messages Solid grasp of user psychology and a knack for solving complex cases Ability to break down complex topics into plain, user-friendly language Tech-savviness and curiosity — you enjoy figuring things out Interest in wearables and health data (HRV, sleep, stress) — you’ll explain what users’ numbers mean and dig into interesting complex issues. Comfortable with data: Amplitude/Metabase dashboards, basic SQL or Python, working with APIs. What You’ll Do Help users via Intercom, email, app stores, and social media Handle user requests related to subscriptions, data syncing, integrations, and more Work hands-on with Megan, our AI support agent that already resolves over 60% conversations, review and rate its answers, test new prompts and pipelines, and find where it fails. Automate workflows using no-code tools like n8n Improve key support metrics — reduce churn and refunds, speed up resolution time, and boost response quality Handle sensitive conversations with care: users with chronic conditions, health anxiety, and privacy/data-deletion requests (GDPR). Our Stack We love automation and lean on AI tools to scale. You don’t need to know all of them — what matters is your ability to learn quickly. Intercom ChatGPT, Claude Notion, Confluence Slack Asana Figma Amplitude, Metabase What We Offer Flexible hours & a high-trust culture — we care about results, not clock time Competitive salary, performance-based bonuses, and stock options Access to a therapist & employee support program Health insurance Support for personal learning and development Unlimited vacation policy Culture of openness, honesty, and high standards How to Apply Click Apply for this job and send your application. What happens next: You’ll get an email with a 30‑minute questionnaire to share your contact details, resume link, and experience. We review every application and will get back to you either way. If we’re a good match, the next steps are: Test assignment Culture Fit interview with HR Technical interview with the hiring manager We’re building AI-first support — at the intersection of communication and technology. Our approach helps people around the world better understand their health, feel genuinely cared for, and see real value in what we build. Does this sound like you? Send us a message — we read every application and will get back to you.

Location: Damascus, Syria Toters is an on-demand e-commerce and delivery platform and operates a service that enables customers to get anything in their city at the highest level of convenience. At Toters, technology is at the heart of everything we do. We have product teams that are working hard everyday to create products that make our customers' lives easier. Our engineers are also continuously creating solutions to make our processes more efficient, all in an effort to get to our customers fast and at the best cost. If you are interested in working in a high growth startup environment, and look to be part of a team that will potentially change the way customers shop in the Middle East, apply now. The Customer Experience Specialist position in Beirut is key in driving Toters’ growth across the country, and with multiple stakeholders. We are looking for a multi-skilled candidate with strong communication and customer service skills to help TOTERS scale up operations and grow our customer base. The selected individual will help Toters grow and manage the day-to-day operations, while delivering excellent customer experience. Responsibilities: Answer all inbound communications from customers and merchants. Monitor orders queue for any new orders and manage the new order assignment process 6 days a week. Handle daily customer care emails, support messages, and calls. Follow up on assigned orders with phone calls & Chats to Merchants and Customers to ensure orders are received and being processed without any delays or issues. Channel market feedback to technology team to improve the Customer and Driver Apps. Monitor any issues with orders and deliver necessary compensation to customers when needed. Handle initiated outbound activities/campaigns when required. Meet the department’s KPI targets for order fulfillment and service quality. Help Toters continue to WOW its growing customer base. Requirements: B.S in Business Administration, Communications, Public Relations, or related field, or equivalent work experience. Responsible individual who is able to wear multiple hats to get the job done, from sitting behind a desk and performing analytical tasks, to delivering exceptional service to customers and following up with merchants and the operations team through phone calls, chats and email. A Positive mindset, Fast learner, dynamic and able to work well under pressure. Understand the impact of having a positive attitude when handling certain cases, and handle stress. Apply elements of building positive rapport with customers and ensure proper etiquette to satisfy various customer situations. Constant readiness and availability, with the ability to manage calls and communication channels 6 days a week, especially during dinner and lunch peak hours. Flexible and willing to work on shift based environment including weekends, holidays, evening and overnight shifts. Excellent communication skills in English and Arabic. Strong Organization and Time Management skill. Tech savvy, and is able to learn and use web tools.

Location: Mumbai, India We are EnerMech, a specialist service company that delivers safe, integrated solutions for complex energy projects. For over 50 years, we've been energizing our clients across the world with unrivalled expertise, equipment, and technology that supports the entire asset life-cycle - offshore and on land. We enable progress through our three global business lines: Energy Solutions, Infrastructure & Industrial Solutions, and Lifting Solutions. Within these areas, we offer a wide range of services, including cranes, lifting, fluid power, training, equipment rental, pipeline and subsea, process, and valves - all designed to help our clients optimize performance, enhance reliability, and improve efficiency. With a focus on operational excellence, we deliver value through our customized integrated solutions.  This approach reduces risk and enhances efficiencies making us a leading and trusted partner every step of the way. Role Purpose The GBS PMO & Transformation Analyst provides project, governance, analytical and administrative support to the Global Business Services function. The role supports the development and execution of the GBS roadmap by assisting with service transitions, business case development, project & process governance, stakeholder reporting, performance tracking and continuous improvement initiatives. Working closely with the Director of Global Business Services, function leaders and project teams, the role helps ensure that GBS initiatives are delivered in a structured, disciplined and measurable manner. The role holder must be an ambitious analyst or project professional seeking exposure to enterprise transformation, shared services, business process improvement and organisational change. The role supports governance, transition and business case activities identified within EnerMech's  GBS model. Key Responsibilities Support the delivery of GBS projects, transitions and improvement initiatives. Maintain project plans, RAID logs, action trackers and milestone schedules. Assist in planning and coordinating the migration of activities into the GBS organisation. Support transition readiness assessments, training coordination and go-live preparation. Coordinate GBS governance meetings, steering committees and project review forums. Support the preparation of business cases for new GBS opportunities, scope expansions and transformation initiatives. Collect, validate and analyse baseline data relating to costs, volumes, effort and performance. Assist with process mapping, root cause reviews and improvement workshops. Track progress against agreed deliverables and escalate risks where required. Coordinate meetings, workshops and project activities with stakeholders. Experience Requirements Experience within Shared Services, GBS or Finance Operations. Exposure to business case development and financial modelling. Knowledge of project management methodologies. Experience with Power BI. Experience supporting system implementations or business transitions. Project Management qualification (PRINCE2, PMP, Agile, CAPM or equivalent). Knowledge of process improvement methodologies such as Lean or Six Sigma. Anticipated Skills Degree in Business, Finance, Accounting, Economics, Project Management or related discipline. 2-5 years' experience in project support, PMO, business analysis, shared services or transformation environments. Strong analytical and problem-solving capability. Excellent Excel and PowerPoint skills. Strong written and verbal communication skills. Experience preparing reports, presentations and management information. Ability to manage multiple priorities and work independently. Strong attention to detail and organisational skills. ·

Location: Indianapolis, United States; Ohio City, United States; Chicago, United States Description Location: Indianapolis, IN Metro (Hybrid / 3-Day Onsite) (Open to Regional/EST Candidates with Onsite Travel) Contract Type: Contractor Full-Time / Enterprise Project Engagement (Outsourced via Xenon7) About Xenon7 Where elite tech talent meets world-class opportunities! At Xenon7, we work with leading enterprise clients and innovative startups on high-impact projects across Data, AI, Cloud, and Software Engineering. Our expertise in AI solution architecture and specialized technical talent allows us to partner with enterprise leaders on transformative initiatives, driving innovation and business growth. Role purpose Lead the development and application of digital twins to improve clinical trial design and support evidence-based clinical development decisions. The role prioritizes digital-twin, simulation, and AI/ML expertise, supported by clinical-development experience and close partnership with trial-design experts. Position overview You will join a multidisciplinary clinical development environment and partner with clinical scientists, physicians, biostatisticians, pharmacometricians, biomarker experts, data scientists, data engineers, and other stakeholders. You will translate clinical development questions into quantitative strategies and deliver  interpretable analyses that inform protocol design, patient selection, endpoint strategy, dosing, operational planning, and decision-making under uncertainty. The role prioritizes digital twins as the primary capability for simulating patients, disease trajectories, treatment response, and clinical trials. The successful candidate will bring strong digital-twin, simulation, and AI/ML expertise, along with sufficient clinical-development knowledge to work effectively with trial teams. Deeper trial-design expertise can be developed through close collaboration with clinical scientists, biostatisticians, and pharmacometricians. Key responsibilities Digital-twin development and validation ·   Lead the design, development, and evaluation of digital twins of patients, disease trajectories, treatment response, or clinical trials using clinical trial and relevant external data. ·   Combine mechanistic, statistical, causal, and machine learning approaches to create fit-for-purpose digital twins that can be simulated under alternative populations, interventions, dosing strategies, endpoints, or trial designs. ·   Define use cases and contexts of use with clinical and quantitative experts so each digital twin addresses a specific trial-design or development decision. ·   Assess calibration, validation, robustness, transportability, uncertainty, and practical relevance using appropriate internal and external evaluation strategies. ·   Develop reproducible workflows and reusable digital-twin components that can be applied across programs or therapeutic areas. Clinical trial design and quantitative decision support ·   Partner with trial teams to frame development questions and evaluate design options, including target populations, eligibility criteria, enrichment strategies, comparators, endpoints, visit schedules, dosing strategies, and operational tradeoffs. ·   Use digital twins and complementary simulation methods to compare plausible scenarios, characterize uncertainty, and support model-informed decision-making. ·   Work closely with statisticians and pharmacometricians so analyses complement established trial-design methods and align with clinical and regulatory objectives. ·   Communicate assumptions, limitations, and decision-relevant insights clearly to technical and non-technical stakeholders. Data integration and scientific collaboration ·   Analyze and integrate clinical trial data and, where relevant, biomarkers, imaging, digital health data, omics, patient-reported outcomes, and real-world data. ·   Partner with data engineering and platform teams to create analysis-ready datasets, data-quality checks, lineage, and reproducible pipelines. ·   Contribute to scientific documentation, presentations, publications, and responsible adoption of digital-twin methods across clinical development. Model quality and responsible use ·   Define the intended use, decision context, success criteria, and limitations of each model before development. ·   Ensure models are interpretable, auditable, reproducible, and supported by evidence appropriate to their intended use. ·   Apply appropriate governance, privacy, security, and scientific-review requirements for clinical data and analytical outputs. ·   Clearly distinguish exploratory analyses from validated decision-support evidence and avoid overclaiming model capability. Requirements ·   PhD in data science, statistics, biostatistics, pharmacometrics, computer science, biomedical informatics, engineering, mathematics, operations research, or a related quantitative field. ·   Demonstrated experience developing digital twins, virtual patients, disease-progression models, clinical trial simulations, synthetic controls, or closely related computational models. ·   Strong experience applying machine learning, statistical modeling, causal inference, or simulation to biomedical, healthcare, pharmaceutical, or other complex scientific data. ·   Strong programming skills in Python, R, or a comparable analytical language, with experience using version-controlled and reproducible workflows. ·   Sufficient clinical-development knowledge to frame relevant questions and collaborate effectively with clinical and quantitative trial experts. ·   Ability and interest to deepen clinical trial-design knowledge through partnership with clinical scientists, biostatisticians, and pharmacometricians. ·   Strong written and verbal communication skills and demonstrated effectiveness in cross-functional scientific collaboration. Preferred qualifications ·   Strongly preferred: experience supporting clinical trial design, protocol development, clinical development strategy, model-informed drug development, or regulatory-facing quantitative evidence. ·   Familiarity with one or more trial-design topics, such as endpoint strategy, sample size or power assumptions, patient selection or enrichment, longitudinal outcomes, missing data, adaptive designs, or decision criteria. ·   Knowledge of digital-twin architecture and validation, supported by expertise in causal inference, Bayesian modeling, survival analysis, longitudinal modeling, clinical trial simulation, or synthetic controls. ·   Experience with clinical data standards and common clinical-development data sources. ·   Experience with biomarker, imaging, omics, digital health, or real-world data and integration of multiple data modalities. ·   Experience with scalable cloud-based analytical environments. ·   Track record of translating analytical work into decisions, reusable capabilities, publications, presentations, or other measurable scientific impact.

Location: Baran, Pakistan; Hyderabad, Pakistan; Multan, Pakistan; Rahim Yar Khan, Pakistan You will be a practitioner on our telehealth platform 'Intellect', where your role is to support our clients' mental health and personal growth based on the individual needs and goals. This is delivered primarily through scheduled 60-minute video sessions on our platform. This is a freelance remote role with the flexibility to decide your business hours. Local candidates are preferred but others can still be considered. This role is a great opportunity to supplement your current job or private practice. We're seeking to partner with Clinical Psychologists and Counsellors to be part of a community working collaboratively to bring greater mental health access to the public to provide mental health coaching. What You'll Do Provide 1-on-1 telehealth/or onsite mental health support for Intellect’s clients Focus on clinical cases such as depression, anxiety, trauma, schizophrenia, eating disorders, addiction etc. Collaboratively work with the internal clinical team by suggesting improvements to the program and the platform Requirements Has a Master / Postgraduate Diploma training in Clinical Psychology Skilled in Cognitive Behavioural Therapy or other evidence-based approaches (e.g. Motivational Interviewing, DBT, SFBT, etc.) Candidate must have at least 300 clinical hours AHPC Registered Able to do occasional onsite sessions Candidate must be proficient in Urdu language Prior experience in EAP, and/or counselling work Prior experience with group sessions Critical Incident Support Program experience is preferred Willing to do occasional onsite sessions

Location: South Africa; Jamaica; Ethiopia; Pakistan; Philippines; Colombia About Huzzle At Huzzle, we connect exceptional talent with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include fast-growing startups and established businesses in SaaS, MarTech, FinTech, and EdTech. Unlike traditional outsourcing, you’ll be placed directly with a client as a core member of their team—giving you real ownership, career progression, and long-term stability. Job Type: Part-time (24 hours/week) Location: Remote Working Hours: Eastern Time (US/Canada) About the Company Our client is an innovative AI solutions company helping municipalities and government organizations modernize their operations through intelligent technology. Their solutions include AI-powered citizen engagement chatbots, internal automation tools, and permit validation systems designed to improve public service delivery and operational efficiency. As the company expands across the US and Canadian markets, they're looking for an experienced Sales Development Representative (SDR) to drive new business opportunities and build relationships with public-sector decision-makers. Job Summary We are seeking a highly autonomous, results-driven Sales Development Representative (SDR) with proven experience selling to government organizations, municipalities, or public-sector institutions. In this part-time remote sales role (24 hours per week), you'll take ownership of outbound prospecting, lead generation, appointment setting, and closing sales opportunities across North America. This is an excellent opportunity for an experienced SDR or business development professional who understands public-sector sales cycles, can independently build a qualified pipeline, and is comfortable working in a growing AI technology company. Key Responsibilities Lead Generation & Outbound Prospecting Identify and prospect municipalities, government agencies, and public-sector organizations across the US and Canada. Independently research and engage key decision-makers through cold email, cold calling, LinkedIn, and other outbound channels. Develop targeted prospect lists and maintain a consistent pipeline of qualified opportunities. Identify potential use cases for AI-powered solutions within government organizations. Appointment Setting & Sales Closing Book qualified meetings and product demonstrations with relevant decision-makers. Conduct discovery conversations to understand organizational challenges and technology needs. Communicate the value of AI solutions to public-sector stakeholders. Manage sales opportunities from initial outreach through appointment setting and deal closing. Build relationships with prospects and navigate longer, consultative public-sector sales cycles. CRM & Pipeline Management Use Zoho CRM to manage leads, track activities, and monitor sales opportunities. Maintain accurate prospect information, meeting notes, and follow-up schedules. Independently manage pipeline progression and prioritize high-value opportunities. Track performance against lead generation, meetings booked, and deals closed. Requirements Must have proven sales experience within public-sector or governmental organizations, including municipalities, government agencies, or similar institutions. Demonstrated experience in outbound sales, business development, or SDR roles. Proven ability to independently generate leads, book qualified appointments, and close sales. Hands-on experience using Zoho CRM for pipeline management and sales tracking. Strong understanding of B2B or B2G (business-to-government) sales processes. Excellent spoken and written English communication skills. Confident engaging senior stakeholders and government decision-makers. Highly organized, self-motivated, and comfortable working independently. Availability to work 24 hours per week, aligned with the client's Eastern Time zone. Reliable laptop, stable internet connection, and professional remote working setup. Nice-to-Have Qualifications Experience selling AI, SaaS, or other technology solutions. Existing knowledge of the US or Canadian municipal and government markets. Familiarity with public-sector procurement processes and government sales cycles. Experience selling digital transformation or automation solutions. Previous experience working in a startup or growth-stage technology company. Benefits 💰 Competitive compensation 🌎 100% remote opportunity 🤖 Work with innovative AI technology 🚀 High-impact role 🎯 Autonomy and ownership

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is seeking a Financial Data and Controls Lead to join our Billing Platform team. Billing Platform builds the systems customers use to transact with Anthropic: subscriptions, usage billing, quote to cash, invoicing, and payments. You'll be the dedicated owner of billing accuracy, reconciliation, and financial controls across those systems, making sure the right checks run, the right controls are in place, and the audit evidence exists. Our billing systems and pricing change often, and each flow needs to meet SOX requirements. Accurate billing is what lets us launch products and pricing quickly and still close the books on time. The hard problems today include validating negotiated pricing from contract to invoice, handling the many forms of credits, app store billing, and keeping controls current while the systems under them are replaced. This is a foundational role and the first hire of its kind on the team. You'll lead a working group of the reconciliation and controls owners from each billing engineering team, and you'll set the approach they follow. You'll work closely with Finance Systems, Accounting, Internal Audit, and Data Engineering. The role sits in Engineering and works with Finance every day. Our Data organization builds the pipelines and owns the warehouse, and you'll use that data and partner with that team. We're looking for an engineer or data practitioner with strong accounting domain knowledge, who can talk to engineers about systems and to Finance and auditors about risk and materiality. Key responsibilities Own reconciliation and accuracy checks for critical billing data (quantity, price, discounts, and invoices) across our product platform, third-party billing and payment providers, app stores, cloud marketplaces, and in-house systems Design and run detective controls that catch billing errors before they reach the accounting books Partner with billing engineering teams to turn repeat checks into automated verifiers Review billing changes that have financial impact, flag the ones that touch SOX or IT application controls (ITACs), and make sure functional test evidence is in place Make SOX review a standard, lightweight step in how billing changes ship, treated like a security review, so launches are not delayed by it Own the end-to-end test strategy and audit evidence for those changes, working with Finance Systems, Data Engineering, Accounting, and Internal Audit Triage billing errors, prioritize backfills and fixes with the owning teams, and track materiality over time Define and maintain the data contracts between billing and finance systems, so downstream teams can find and trust the data they need Lead the working group of reconciliation and controls owners across billing engineering teams, through influence and not reporting lines Act as the Billing owner, alongside Accounting and Finance Systems, for translating the product and pricing roadmap into financial impact, test strategy, and process updates Minimum qualifications Experience building or owning a financial ledger, billing reconciliation, or cash reconciliation system end to end, one that Accounting relied on to close the books Hands-on SQL skills strong enough to take two messy datasets (for example usage events and invoices), match them, find the breaks, and explain the root cause Accounting domain knowledge (order to cash, month-end close, and materiality) sufficient to tell which billing changes have financial impact Experience working with SOX and Internal Audit teams on IT application controls, detective controls, transaction monitoring, functional test evidence, and auditor walkthroughs Experience defining data contracts between billing or product systems and finance systems such as the ERP, general ledger, or revenue recognition Track record of driving work across Engineering, Finance, Accounting, and Audit without direct authority Ability to explain technical issues to Finance and auditors in their terms, and financial risk to engineers in theirs Interest in AI and a commitment to Anthropic's mission of building safe, beneficial AI systems Preferred qualifications Background as a backend, data, or analytics engineer who built a financial ledger or cash reconciliation system from scratch Experience running these systems under public company reporting requirements, and scaling them as the company grew Experience with usage-based or consumption billing Experience with multi-party billing, such as marketplaces, or app stores Experience turning manual checks into automated verifiers with engineering teams Experience remediating a control deficiency, or standing up a controls program while the underlying systems were changing A track record of using Claude or other AI tools to automate reconciliation, testing, or evidence collection, with checks that hold up to review Experience with billing and finance tools such as Stripe, Metronome, Zuora, NetSuite, or Workday Financials Python for data analysis or automation 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: $345,000 — $425,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: United States; Germany; The Netherlands Workplace: Remote PROGRAM OVERVIEW The ClickHouse PhD Research Internship Program offers doctoral students the opportunity to pursue ambitious research alongside ClickHouse Labs researchers and engineers working on some of the most interesting challenges in databases, systems, and data infrastructure. Research interns join ClickHouse Labs for approximately 10-12 weeks to explore meaningful research questions, develop new ideas, and investigate technologies that have the potential to advance both the broader research community and the future of ClickHouse. The program is intentionally designed around research collaboration. Interns are paired with experienced researchers and have the opportunity to pursue work that aligns with their academic interests, ongoing research, and areas of interest within ClickHouse Labs. In some cases, an internship may build on research, a prototype, or a system the student has already begun exploring at their university. We believe the strongest research relationships extend beyond a single summer. Interns may continue their work after returning to their university through academic research, open-source contributions, publications, or other forms of collaboration. Where there is a strong mutual fit, an internship may become the beginning of a longer-term relationship between the researcher, ClickHouse Labs, and the broader academic community. During their internship, researchers will have the opportunity to work closely with ClickHouse Labs, engage with ClickHouse's open-source technology and engineering community, share their findings, and contribute to the intellectual life of the broader research community. Program length: 10-12 weeks, with flexibility based on academic calendars and research needs Typical timing: Summer, beginning approximately June 1 Locations: Opportunities available across the US and Europe, subject to role and employment requirements. Remote first. Research environment: ClickHouse Labs Internship format: Research-focused, mentor-supported, and shaped around areas of mutual research interest Compensation: commensurate with experience, a monthly stipend will be paid RESEARCH AT CLICKHOUSE LABS ClickHouse Labs explores ambitious ideas at the intersection of databases, distributed systems, data infrastructure, and the broader systems research community. We believe some of the most interesting advances in these areas happen through close collaboration between industry and academia. ClickHouse Labs brings together researchers and engineers to explore new ideas, investigate challenging technical problems, and connect academic research with real-world systems at scale. Research interns are an important part of that community. Interns have the opportunity to bring their own research interests and perspectives into ClickHouse Labs while working alongside researchers and engineers who are deeply engaged with both the practical challenges and open research questions shaping the future of data systems. PROGRAM GOALS 1. Identify exceptional PhD researchers working in areas directly relevant to ClickHouse. 2. Give researchers the opportunity to work on meaningful, open-ended problems with ClickHouse Labs. 3. Build long-term relationships with researchers and academic institutions. 4. Encourage continued research and open-source contributions after the internship. 5. Create opportunities for co-authored papers, thesis advising, or other academic collaboration. 6. Increase ClickHouse's visibility within the database and systems research community. 7. Publish and share meaningful research outcomes through the ClickHouse website and other appropriate channels. WHAT MAKES THE PROGRAM DIFFERENT This is intentionally not a highly structured engineering internship and should not detailed planning. ****But the high-level problem area and expectations should defined several months before the internship begins. This flexibility is intentional and allows ClickHouse Labs to respond to: - Emerging research questions - Current ClickHouse priorities - New academic research - Interesting systems or database prototypes - Work candidates have already completed - Opportunities to apply new research ideas to ClickHouse The goal is to identify researchers whose work is already closely aligned with areas ClickHouse cares about and then determine the most valuable research problem to pursue together. CANDIDATE PROFILE We are looking for exceptional PhD students conducting research directly relevant to ClickHouse and the broader database/systems space. IDEAL CANDIDATES - Currently pursuing a PhD in computer science or a closely related field - Conducting research in areas relevant to ClickHouse - Demonstrated research excellence - Strong database systems, distributed systems, hardware, or related technical background - Has demonstrated ability to independently pursue complex research questions - Ideally has prior experience with ClickHouse open source but not required**.** - Has research, prototypes, or publications that could translate into meaningful work with ClickHouse - Interested in continuing research beyond the internship - Potential interest in open-source contribution and academic collaboration CANDIDATE SELECTION PHILOSOPHY The strongest candidates will be researchers whose work is specifically relevant to what ClickHouse Labs wants to explore. A candidate who has already: - Worked with ClickHouse - Built a relevant database or systems prototype - Published research in an area relevant to ClickHouse - Explored a technical problem ClickHouse is interested in may be significantly more valuable than a candidate with an otherwise impressive academic profile but no meaningful connection to our research areas. RESEARCH AREAS & PROJECT SCOPE Unlike an engineering internship program, specific projects do not need to be defined when recruiting begins. Research projects may emerge from: - A candidate's existing research - A recent academic paper - A prototype or system the candidate has developed - An emerging ClickHouse Labs research priority - An opportunity to test or extend an existing research concept within ClickHouse IF THIS IS RELEVANT AND EXCITING TO YOU, PLEASE APPLY! PERKS - Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries. - Healthcare - Employer contributions towards your healthcare. - Equity in the company - Every new eligible team member who joins our company receives equity. - Time off - Flexible time off in the US, generous entitlement in other countries. - A USD$500 Home office setup if you’re a remote employee. - Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. CULTURE - WE ALL SHAPE IT As part of a rapidly scaling start-up, you will be instrumental in shaping our culture. Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse. EQUAL OPPORTUNITY & PRIVACY ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.

Location: San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Reinforcement learning is how Claude learns to reason, write code, and act autonomously over long horizons. At frontier scale, an RL run is a large distributed system: training, sampling, and environment execution run concurrently across a large fleet of accelerators and hosts. As an engineer in RL Engineering, you'll work on keeping that system secure as it scales. This is a hands-on engineering role. You'll work in the RL codebase and the infrastructure underneath it, alongside the engineers and researchers who build and use it. The system is large and changes as fast as the research does, so security work here has to keep up with that pace without costing performance or velocity. We're hiring from two backgrounds: security engineers who want to work on large-scale ML systems, and ML systems or research engineers who want to work on security. Strong candidates have depth in one and real interest in the other. Key responsibilities Design, build, and operate security controls for RL training systems and the infrastructure they run on Work across the stack (orchestration, environments, training, inference) wherever the work is needed Review designs and code across the RL stack, find security problems, and fix them Build shared libraries and tooling that other RL engineers and researchers build on Build the observability needed to understand what these systems are doing Work with researchers and performance engineers to make sure security changes preserve training correctness and performance Write clear design documents for what you build Minimum qualifications Strong software engineering skills in Python and at least one systems language such as Rust, C++, or Go Experience designing, building, and operating large-scale distributed systems or security systems in production Strong understanding of security fundamentals Working knowledge of Linux, containers, and cloud infrastructure Experience debugging complex problems across many hosts and services Ability to reason about tradeoffs between security, performance, and reliability Strong written communication, including design documents Preferred qualifications Experience running ML training or inference infrastructure at scale Experience with infrastructure security, such as isolation, access control, networking, or identity Experience with container orchestration such as Kubernetes, and with sandboxed or virtualized code execution at scale Experience building observability for large fleets Experience supporting research teams or other fast-moving internal users Familiarity with reinforcement learning or large language model training workloads The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Sales Development Manager for Enterprise at Anthropic, you will lead the team that opens our most strategic customer relationships. You'll build and manage a team of 6-10 Business Development Representatives (BDRs) who generate high-value pipeline inside complex enterprise organizations through account-based prospecting, multi-threaded outreach, and rigorous qualification. Enterprise buying is long and involves many stakeholders. The work here is less about volume and more about depth: knowing an account well enough to reach the right people with the right message, and staying with it long enough to turn early conversations into real opportunities. You'll bring a strong understanding of enterprise sales cycles and organizational dynamics, and you'll coach your team to develop strategic accounts over time. You'll partner closely with Enterprise Account Executives and with leaders across Sales, Revenue Operations, Strategy, and Marketing. You'll also develop the next generation of Anthropic's enterprise sellers, helping BDRs grow into Account Executive roles while they help the world's largest organizations adopt safe, frontier AI. Key responsibilities Build, lead, and scale a team of BDRs focused on the Enterprise segment Drive strategic pipeline generation through account-based prospecting and targeted outbound campaigns to Global 2000 accounts Coach your team on partnering with Enterprise Account Executives to develop account plans, coordinate multi-threaded outreach, and ensure high-quality opportunity handoffs Establish and track KPIs focused on opportunity quality, deal size, and strategic account penetration Coach and model for your team on enterprise prospecting, stakeholder mapping, and complex qualification Build a deep understanding of enterprise buying processes, and coach the team on navigating procurement, legal, and security requirements Own pipeline reviews with sales leadership covering enterprise pipeline health, account penetration, and competitive positioning Build strong relationships with cross-functional leaders and partners across Sales, Revenue Operations, Strategy, and Marketing Coach and mentor BDRs on strategic prospecting, executive engagement, and career development toward Account Executive roles Minimum qualifications Experience managing BDR, SDR, or new business Account Executive teams in an enterprise-focused sales organization A track record of building teams that prospect successfully into complex enterprise organizations Experience with account-based selling strategies, including account planning, stakeholder mapping, and multi-threaded outreach Hands-on proficiency with a CRM and sales engagement tooling (e.g., Salesforce, LinkedIn Sales Navigator, or similar), and the analytical skills to design prospecting systems and measure pipeline quality Demonstrated ability to coach representatives on navigating complex organizational structures and multi-stakeholder deals Clear written and verbal communication, including the ability to engage executive-level stakeholders An understanding of Anthropic’s products, ecosystem, and hands on building experience with LLMs Excitement about Anthropic's mission to develop AI that is safe and beneficial Preferred qualifications Personal closing experience as an Account Executive, Account Manager, ideally in a management role Experience managing teams that prospect into Fortune 500 or Global 2000 accounts A track record of developing BDRs who move successfully into enterprise Account Executive roles Experience building enterprise prospecting playbooks where none existed Hands-on experience with Claude, Claude Code, or other AI prospecting tools, and with sales tools such as Apollo and HubSpot Experience in API-first, consumption-based, or platform business models Background in AI or machine learning, cloud infrastructure, or developer platforms Familiarity with enterprise procurement, security review, and legal processes 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: $285,000 — $350,000 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 - US About the Job: LaunchDarkly is looking for a Director, People Programs, Systems & Analytics to establish operational objectives, roadmaps, work plans, and operating rhythms for People programs, systems, analytics, and AI, translating the People Operations strategy and LaunchDarkly’s priorities into executable plans. Your team will develop technical and AI-assisted capabilities while  turning workforce data into analytics and insights that allow the business to make informed decisions. This role reports to the Senior Director, People Operations. In this role you will lead a small team and establish the framework for responsible AI use regarding People data. You will partner with Legal, Security, and IT, and recommend solutions that improve reporting, employee support, and efficiency. Responsibilities: Design the vision, strategy, roadmap, governance, and operating rhythms for all People programs, systems, analytics and AI, in alignment with LaunchDarkly’s business and People priorities. Manage the orchestration and successful completion of organization wide deliverables including OKRs, annual deliverables, and key projects, acting as a visible leader and facilitator within the People organization. Lead, coach, and develop a small, high-performing team, creating clarity, strong partnerships, and a culture of thoughtful execution and continuous improvement. In partnership with the Director, People Operations, ensure that programs and operating processes across the employee lifecycle, including onboarding, offboarding, employee data, documentation, compliance-related workflows, employee support, and international operations can be optimally managed through our HR tech stack with measurable, decision-informing analytics Design and evolve the People technology ecosystem, ensuring systems are integrated, scalable, secure, fit for purpose, and aligned to the employee and business experience. Establish standards for People data quality, definitions, governance, access, documentation, and stewardship, and build trusted reporting and self-service insights for People partners and business teams. Design an analytics strategy that translates workforce data into executive-ready narratives and practical recommendations across headcount, attrition, hiring, organizational health, employee experience, and workforce planning. Define a responsible AI strategy for the People function, including use-case prioritization, governance, human oversight, and adoption of solutions that improve reporting, decision-making, employee support, and operational efficiency. Partner with the Senior Director, People Operations, functional partners, and subject-matter experts to translate capability gaps into scalable learning experiences, then measure participation, effectiveness, behavior change, business impact, and equity of access. Lead change management for new systems, programs, policies, and processes, including communications, training, stakeholder readiness, adoption, and post-launch improvement. Manage vendors, dependencies, and tradeoffs, bringing structure to ambiguity and maintaining a clear view of value, risk, and long-term scalability. Qualifications: 15+ years of experience in People Operations, including 5 years leadership across People Programs, People Systems, People Analytics, or a similarly complex function. Experience should include the selection and optimization of HRIS and Talent systems at small and medium- to large-sized companies. A track record of organization-wide project and program management, designing operating models, building roadmaps, and delivering cross-functional programs at scale. Implementation and development of comprehensive data analytics, reporting, and dashboarding tools for Human Resources and Talent organizations with knowledge and experience in AI-enablement for those functions. Experience managing and developing a team and building strong cross-functional partnerships. Experience designing, managing, or improving integrations across HR systems and connected People tools to support reliable data flows and scalable operations. Strong understanding of how People systems, processes, data, and employee programs fit together. Experience improving HR technology, data quality, reporting, analytics, automation, or self-service decision support. Practical experience evaluating or advancing AI use cases, with sound judgment around sensitive employee data, privacy, governance, accuracy, and human oversight. Excellent written communication, prioritization, program management, and change leadership skills. About You: You are a strategic, systems-oriented People leader who connects technology, data, programs, and human experience. You can set organization-wide direction at the program level while engaging deeply enough to understand implementation details and remove barriers. You are ambitious about innovation, pragmatic about execution, and thoughtful about risk and employee trust. You are curious about People analytics and AI and disciplined about where they should and should not be applied. You are collaborative, grounded, proactive, and committed to building scalable, equitable experiences for employees and managers. What Success Looks Like: The People team has a clear, prioritized roadmap across programs, systems, analytics and AI. The People team has stronger governance, clearer processes, more reliable data, and fewer manual or fragmented workflows. People partners and business teams have trusted, actionable insights for workforce planning and People decisions, with responsible AI use cases improving efficiency and decision support. The team is engaged, growing, and recognized as a strategic partner that delivers meaningful outcomes across the company. Pay: Target pay ranges based on Geographic Zones* for Level M4: Zone 1: San Francisco/Bay Area or NYC Metropolitan Area, Boston, Seattle - $191,800 - 263,670 ** Zone 2: Irvine, LA, Monterey, Santa Barbara, Santa Rosa, Austin, Portland, Philadelphia, Chicago - $172,600 - $237,270 ** Zone 3: All other US locations - $ 163,000 - $224,070 ** All Zones inclusive of 15% Bonus Target LaunchDarkly operates from a place of high trust and transparency; we are happy to state the pay range for our open roles to best align with your needs. Exact compensation may vary based on skills, experience, and location. *Within the United States, our geographic pay zones are defined by counties surrounding major metropolitan areas. **Restricted Stock Units (RSUs), health, vision, and dental insurance, and mental health benefits in addition to salary. About LaunchDarkly: Modern software delivery was supposed to be the foundation for a thriving digital business but reality has proven otherwise. Slow, inefficient development cycles, costly outages, and fragmented customer experiences are preventing developers from building their best software. The LaunchDarkly platform helps developers innovate on new features faster while protecting them with a safety valve to instantly rewind when things go wrong. Developers can target product experiences to any customer segment and maximize the business impact of every feature. And by gradually rolling out new application components, they escape nightmare "big-bang" technology migrations. The LaunchDarkly platform was built to guide engineers to the next frontier of DevOps by: Improving the velocity and stability of software releases, without the fear of end customer outages Delivering targeted experiences by easily personalizing features to customer cohorts Maximizing the business impact of every feature through the ability to experiment and optimize Coordinating the release and optimization of software to provide consistent experiences across mobile platforms and device types Improving the effectiveness and productivity of engineering teams, by providing insights into engineering cadence and stability At LaunchDarkly, we believe in the power of teams. We're building a team that is humble, open, collaborative, respectful and kind. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability status. LD invites any applicant to review our written Affirmative Action Plan. To do so, contact People Ops at hr@launchdarkly.com . Do you need a disability accommodation? Fill out this accommodations request form and someone from our People Operations team will contact you for assistance. Your safety matters to us. To protect yourself from potential scams, LaunchDarkly recruiters will only contact you from @LaunchDarkly .com email addresses or via LinkedIn from "Verified Recruiter" accounts. Be cautious of emails from other domains.  Legitimate LaunchDarkly recruiters will never ask for money, fees, or banking information before making a job offer. LaunchDarkly will never make a job offer without conducting a formal interview process. Our interview process does not involve asking detailed questions by email. If you are ever unsure about a communication that you receive, don't click any links—visit Careers | LaunchDarkly directly for confirmed job openings and links to apply. Please notify us of any fraudulent representation by sending an email to careers@launchdarkly.com .